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<?xml-stylesheet type="text/xsl" href="/static/style/plugins.xsl" ?>
<plugins>
    <pyqgis_plugin name="QuickWKT" version="3.4" plugin_id="11">
        <description><![CDATA[Quick WKT/WKB viewer, this Qgis Plugin opens a dialog where the user can paste (E)WKT and WKB code and see it on the map. Pasted data are stored in a temporary (memory) layer and are completely lost when the user quits QGIS.]]></description>
        <about><![CDATA[Quick WKT/WKB is a plugin to easily show WKT/WKB data into QGIS. It also provides some utilities function and adds them to iface (see the about tab in the plugin&#x27;s dialog for details).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.itopen.it/2010/10/21/wkt-on-the-fly-qgis-plugin/]]></homepage>
        <file_name>QuickWKT.3.4.zip</file_name>
        <icon>/media/packages/2016/quickwkt_icon_qsf96s5.png</icon>
        <author_name><![CDATA[Alessandro Pasotti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickWKT/version/3.4/download/</download_url>
        <uploaded_by><![CDATA[elpaso]]></uploaded_by>
        <create_date>2011-05-19T05:53:59.287786+00:00</create_date>
        <update_date>2026-01-16T15:02:18.206495+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/elpaso/quickwkt/issues]]></tracker>
        <repository><![CDATA[https://github.com/elpaso/quickwkt]]></repository>
        <tags><![CDATA[wkt,viewer]]></tags>
        <downloads>185669</downloads>
        <average_vote>4.741338436737614</average_vote>
        <rating_votes>116</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Memory Layer Saver" version="6.0.1" plugin_id="20">
        <description><![CDATA[Makes memory layers persistent]]></description>
        <about><![CDATA[Makes memory layers persistent so that they are restored when a project is closed and reopened.
The memory provider data is streamed in a portable binary format (QDataStream) and embedded
in the project attachments (inside the qgz archive, or in attachments.zip for unzipped projects).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/YoannQDQ/qgis-memory-layer-saver]]></homepage>
        <file_name>MemoryLayerSaver.6.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_CG8yJVC.svg</icon>
        <author_name><![CDATA[Chris Crook, Yoann Quenach de Quivillic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MemoryLayerSaver/version/6.0.1/download/</download_url>
        <uploaded_by><![CDATA[yquenach]]></uploaded_by>
        <create_date>2011-06-15T20:09:37.846902+00:00</create_date>
        <update_date>2026-03-03T09:59:50.674905+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/YoannQDQ/qgis-memory-layer-saver/issues]]></tracker>
        <repository><![CDATA[http://github.com/YoannQDQ/qgis-memory-layer-saver]]></repository>
        <tags><![CDATA[persistent,memory,scratch]]></tags>
        <downloads>139036</downloads>
        <average_vote>4.772091492512753</average_vote>
        <rating_votes>79</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SimpleSvg" version="3.1.1" plugin_id="22">
        <description><![CDATA[Create simple SVG from current view, editable with Inkscape]]></description>
        <about><![CDATA[Create simple SVG from current view, editable with Inkscape. Only for simple styling and data. In QGIS3 there is better support for SVG]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rduivenvoorde/simplesvg]]></homepage>
        <file_name>simplesvg.3.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_tUV2viW.png</icon>
        <author_name><![CDATA[Richard Duivenvoorde]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/simplesvg/version/3.1.1/download/</download_url>
        <uploaded_by><![CDATA[rduivenvoorde]]></uploaded_by>
        <create_date>2011-06-16T19:20:55.788573+00:00</create_date>
        <update_date>2025-01-02T12:09:12.693108+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rduivenvoorde/simplesvg/issues]]></tracker>
        <repository><![CDATA[https://github.com/rduivenvoorde/simplesvg]]></repository>
        <tags><![CDATA[svg,inkscape]]></tags>
        <downloads>89639</downloads>
        <average_vote>4.254818532969942</average_vote>
        <rating_votes>51</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Value Tool" version="3.1.0" plugin_id="32">
        <description><![CDATA[Qgis plugin to display in table or plot values from raster layers (or mesh layers, from version 3.0.5) at the current mouse position]]></description>
        <about><![CDATA[Qgis plugin to display in table or plot values from raster layers (or mesh layers, from version 3.0.5) at the current mouse position
&lt;p&gt;If this plugin is useful for you, please consider to make a donation of any value to the Maintainer&lt;/p&gt;
&lt;a href=&quot;https://www.paypal.com/cgi-bin/webscr?cmd=_donations&amp;business=G5ERSTGG4U426&amp;item_name=Value+tool&amp;currency_code=BRL&amp;source=url&quot; target=&quot;_blank&quot;&gt;
&lt;img border=&quot;0&quot; alt=&quot;Donate&quot; src=&quot;https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif&quot;&gt;
&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/jorgealmerio/valuetool]]></homepage>
        <file_name>valuetool.3.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_y4eowMX.svg</icon>
        <author_name><![CDATA[Jorge Almerio (maintainer)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/valuetool/version/3.1.0/download/</download_url>
        <uploaded_by><![CDATA[jorgealmerio]]></uploaded_by>
        <create_date>2011-09-07T11:58:00.458920+00:00</create_date>
        <update_date>2025-09-22T16:55:30.742020+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/jorgealmerio/valuetool/issues]]></tracker>
        <repository><![CDATA[https://github.com/jorgealmerio/valuetool]]></repository>
        <tags><![CDATA[raster,mesh]]></tags>
        <downloads>358525</downloads>
        <average_vote>4.325873545207387</average_vote>
        <rating_votes>224</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoCoding" version="2.19" plugin_id="39">
        <description><![CDATA[GeoCoding and reverse GeoCoding using Nominatim and Google web services]]></description>
        <about><![CDATA[This plugin allows the user to search for an address and get its coordinates (geocoding) using GeoCoding using Nominatim and Google web services. It also allows to get the address of a point by clicking on the map canvas (reverse geocoding).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.itopen.it/2009/06/05/geocoding-qgis-plugins-released/]]></homepage>
        <file_name>GeoCoding.2.19.zip</file_name>
        <icon>/media/packages/2023/geocode_icon.png</icon>
        <author_name><![CDATA[Alessandro Pasotti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoCoding/version/2.19/download/</download_url>
        <uploaded_by><![CDATA[elpaso]]></uploaded_by>
        <create_date>2011-11-20T18:42:03.559000+00:00</create_date>
        <update_date>2023-04-28T13:36:38.964968+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/elpaso/qgis-geocoding/issues]]></tracker>
        <repository><![CDATA[https://github.com/elpaso/qgis-geocoding]]></repository>
        <tags><![CDATA[geocoding,address,nominatim,geocode]]></tags>
        <downloads>500736</downloads>
        <average_vote>3.782911418307085</average_vote>
        <rating_votes>562</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Group Stats" version="2.2.7" plugin_id="40">
        <description><![CDATA[Stats and analysis for vector layers data]]></description>
        <about><![CDATA[Migrated to QGIS 3 version by Faunalia. Sponsored by Arpa Piemonte for ERIKUS program in collaboration with Regione Piemonte e Dipartimento della Protezione Civile - Funzione Censimento Danni

Migrato alla versione QGIS3 da Faunalia per Arpa Piemonte per il programma ERIKUS in collaborazione con Regione Piemonte e Dipartimento della Protezione Civile - Funzione Censimento Danni]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/HenrikSpa/GroupStats]]></homepage>
        <file_name>GroupStats.2.2.7.zip</file_name>
        <icon>/media/packages/2026/icon_heUnC7v.png</icon>
        <author_name><![CDATA[Rajmund Szostok. Migrated to QGIS 3 by Borys Jurgiel and Faunalia. Code translated to English by Henrik Spångmyr.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GroupStats/version/2.2.7/download/</download_url>
        <uploaded_by><![CDATA[henrikspa]]></uploaded_by>
        <create_date>2011-11-23T20:53:51.656271+00:00</create_date>
        <update_date>2023-03-31T09:04:52.030915+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HenrikSpa/GroupStats/issues]]></tracker>
        <repository><![CDATA[https://github.com/HenrikSpa/GroupStats]]></repository>
        <tags><![CDATA[stats,analysis,pivot table]]></tags>
        <downloads>540187</downloads>
        <average_vote>4.2318717916759665</average_vote>
        <rating_votes>345</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TimeManager" version="3.7" plugin_id="42">
        <description><![CDATA[Create animations visualizing spatio-temporal data]]></description>
        <about><![CDATA[TimeManager adds time controls to QGIS. Using these time controls, you can animate vector features based on a time attribute. There is also an experimental raster layer support and support for interpolation beween point geometries. You can create animations directly in the map window and export image series.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/javadadabi/TimeManager]]></homepage>
        <file_name>timemanager.3.7.zip</file_name>
        <icon>/media/packages/2023/icon_PPVL0Os.png</icon>
        <author_name><![CDATA[Anita Graser, Karolina Alexiou (aka carolinux), Seyed Javad Adabikhsoh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/timemanager/version/3.7/download/</download_url>
        <uploaded_by><![CDATA[javadadabi]]></uploaded_by>
        <create_date>2011-11-25T16:58:25.873110+00:00</create_date>
        <update_date>2023-11-12T21:08:08.343754+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/javadadabi/TimeManager/tree/timemanager]]></tracker>
        <repository><![CDATA[https://github.com/javadadabi/TimeManager]]></repository>
        <tags><![CDATA[spatio-temporal,time,animation]]></tags>
        <downloads>306421</downloads>
        <average_vote>4.2617021027261615</average_vote>
        <rating_votes>256</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layers menu from project" version="2.4.3" plugin_id="43">
        <description><![CDATA[Build layers shortcuts menus based on QGIS remote projects stored in PostgreSQL, local network or HTTP(S).]]></description>
        <about><![CDATA[Allow easy opening of layers maintaining their style.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://aeag.github.io/MenuFromProject-Qgis-Plugin/]]></homepage>
        <file_name>menu_from_project.2.4.3.zip</file_name>
        <icon>/media/packages/2026/menu_from_project_K2cBxKG.png</icon>
        <author_name><![CDATA[Xavier Culos (Agence de l&#x27;eau Adour Garonne), Etienne Trimaille, Julien M. (Oslandia), Jean-Marie Kerloch (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/menu_from_project/version/2.4.3/download/</download_url>
        <uploaded_by><![CDATA[xcaeag]]></uploaded_by>
        <create_date>2011-11-28T09:36:54.924645+00:00</create_date>
        <update_date>2026-03-19T11:02:18.990170+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aeag/MenuFromProject-Qgis-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/aeag/MenuFromProject-Qgis-Plugin]]></repository>
        <tags><![CDATA[project,menu,layers,remote,deployment,centralized,shared resource,shortcut]]></tags>
        <downloads>168081</downloads>
        <average_vote>4.65105462663659</average_vote>
        <rating_votes>43</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Hotlink" version="0.10.0" plugin_id="51">
        <description><![CDATA[Triggers actions on single click to facilitate the use of actions attached to vector layers]]></description>
        <about><![CDATA[When the plugin is activated (button in the toolbar),
the objects &quot;carriers&quot; of actions become &quot;clickable&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/xcaeag/Hotlink-QGis-Plugin]]></homepage>
        <file_name>Hotlink.0.10.0.zip</file_name>
        <icon>/media/packages/2026/hotlink.png</icon>
        <author_name><![CDATA[Xavier Culos (Agence de l&#x27;eau Adour Garonne)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Hotlink/version/0.10.0/download/</download_url>
        <uploaded_by><![CDATA[xcaeag]]></uploaded_by>
        <create_date>2012-01-13T10:20:04.464795+00:00</create_date>
        <update_date>2026-03-17T09:58:50.404195+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/xcaeag/Hotlink-QGis-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/xcaeag/Hotlink-QGis-Plugin]]></repository>
        <tags><![CDATA[hotlink action trigger]]></tags>
        <downloads>62054</downloads>
        <average_vote>4.349782510874456</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GarminCustomMap" version="3.4.2" plugin_id="52">
        <description><![CDATA[Export the current map canvas to a Garmin Custom Map (.kmz-file)]]></description>
        <about><![CDATA[The GarminCustomMap plugin exports the current map canvas to a .kmz-file, which is compatible with Garmin`s Custom Maps format for handheld GPS units. That way individual maps styled in QGIS can be used as background (raster) maps on the compatible Garmin GPS units, like Alpha, Astro, Dakota, Oregon, Colorado, GPSMAP 62 series, GPSMAP 64 series, GPSMAP 78 series, Edge 800, Montana, Rino, eTrex® 20 and 30.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/GarminCustomMap/]]></homepage>
        <file_name>GarminCustomMap.3.4.2.zip</file_name>
        <icon>/media/packages/2022/gcm_icon_LZ5ubPE.png</icon>
        <author_name><![CDATA[Stefan Blumentrath - Norwegian Institute for Nature Research (NINA)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GarminCustomMap/version/3.4.2/download/</download_url>
        <uploaded_by><![CDATA[sbl]]></uploaded_by>
        <create_date>2012-01-18T17:16:49.424140+00:00</create_date>
        <update_date>2022-11-21T23:01:07.920867+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NINAnor/GarminCustomMaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/NINAnor/GarminCustomMaps/]]></repository>
        <tags><![CDATA[kmz,gps,garmin]]></tags>
        <downloads>194587</downloads>
        <average_vote>3.7708202402074997</average_vote>
        <rating_votes>288</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Load Them All" version="3.4" plugin_id="62">
        <description><![CDATA[Loads files stored in a directory structure recursively, based on several filters]]></description>
        <about><![CDATA[QGIS plugin that recursively loads vector and raster layers stored in a directory structure, based on several filters.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geotux.tuxfamily.org/en/2010/10/18/load-them-all-a-qgis-plugin/]]></homepage>
        <file_name>loadthemall.3.4.zip</file_name>
        <icon>/media/packages/2023/icon_eEHLXgD.png</icon>
        <author_name><![CDATA[Germán Carrillo (GeoTux)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/loadthemall/version/3.4/download/</download_url>
        <uploaded_by><![CDATA[gcarrillo]]></uploaded_by>
        <create_date>2012-02-01T23:11:26.395207+00:00</create_date>
        <update_date>2023-10-05T15:53:28.299695+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gacarrillor/loadthemall/issues]]></tracker>
        <repository><![CDATA[https://github.com/gacarrillor/loadthemall]]></repository>
        <tags><![CDATA[vector,raster,shapefile,legend,load,filter,recursively,directory,style,layers,toc,qml,geopackage,layer tree]]></tags>
        <downloads>72890</downloads>
        <average_vote>4.373275022999693</average_vote>
        <rating_votes>75</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Remove empty layers from the map" version="3.0" plugin_id="63">
        <description><![CDATA[&#x27;Cleans&#x27; the layer list widget (legend) by removing empty layers]]></description>
        <about><![CDATA[&#x27;Cleans&#x27; the layer list widget (legend) by removing empty layers]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gacarrillor/RemoveEmptyLayers]]></homepage>
        <file_name>RemoveEmptyLayers.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_default.png</icon>
        <author_name><![CDATA[Germán Carrillo (GeoTux)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RemoveEmptyLayers/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[gcarrillo]]></uploaded_by>
        <create_date>2012-02-01T23:31:41.657953+00:00</create_date>
        <update_date>2018-03-19T12:45:48.669337+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gacarrillor/RemoveEmptyLayers/issues]]></tracker>
        <repository><![CDATA[https://github.com/gacarrillor/RemoveEmptyLayers]]></repository>
        <tags><![CDATA[vector,legend,empty,remove,layers,toc]]></tags>
        <downloads>23236</downloads>
        <average_vote>4.666472230323737</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mask" version="1.12.0" plugin_id="65">
        <description><![CDATA[Help to create mask, filter labels in it]]></description>
        <about><![CDATA[This plugin allows user to quickly transform a polygon selection into a map masking layer or a region of interest, following symbology choice. The plugin allows also to spatially filter labeling of other layer, so that labels will only appear in the Region of Interest.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/aeag/mask]]></homepage>
        <file_name>mask.1.12.0.zip</file_name>
        <icon>/media/packages/2026/aeag_mask.png</icon>
        <author_name><![CDATA[Hugo Mercier (github.com - mhugo) - Xavier Culos (Agence de l&#x27;eau Adour Garonne) - Régis Haubourg (github.com - haubourg)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mask/version/1.12.0/download/</download_url>
        <uploaded_by><![CDATA[xcaeag]]></uploaded_by>
        <create_date>2012-02-09T13:46:12.748214+00:00</create_date>
        <update_date>2026-03-17T09:21:49.557173+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aeag/mask/issues]]></tracker>
        <repository><![CDATA[https://github.com/aeag/mask]]></repository>
        <tags><![CDATA[mask,roi,filter labels,zone d&#x27;intérêt,masque,étiquettes]]></tags>
        <downloads>363110</downloads>
        <average_vote>3.945816892429615</average_vote>
        <rating_votes>240</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dimensioning" version="0.2" plugin_id="69">
        <description><![CDATA[This plugin creates a Memory Layer with style for dimensioning]]></description>
        <about><![CDATA[This plugin creates a Memory Layer with style for dimensioning. If you want to save the dimensioning make the Memory Layer permanent or use the plugin &quot;Memory Layer Saver&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/martinstuder/dimensioning]]></homepage>
        <file_name>dimensioning.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_8c4sTtu.png</icon>
        <author_name><![CDATA[Martin Studer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dimensioning/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[martinstuder]]></uploaded_by>
        <create_date>2012-02-14T14:15:43.821859+00:00</create_date>
        <update_date>2021-03-05T07:17:04.227800+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/martinstuder/dimensioning/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/martinstuder/dimensioning]]></repository>
        <tags><![CDATA[cad,dimensioning,length,bemaßung,bemassung]]></tags>
        <downloads>56991</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Publish and share your QGIS maps on the Web via Lizmap Web Client, by 3liz.com]]></description>
        <about><![CDATA[With a few clicks, it&#x27;s possible to publish and share your QGIS projects on the Web via Lizmap Web Client, by 3liz.com. QGIS Server is used in the background so all the symbology is kept. The edition forms in QGIS are also available. Demo : https://demo.lizmap.com and documentation : https://docs.lizmap.com and hosting solutions https://lizmap.com]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.lizmap.com/]]></homepage>
        <file_name>lizmap.4.5.9.zip</file_name>
        <icon>/media/packages/2026/icon_ytEC4SA.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lizmap/version/4.5.9/download/</download_url>
        <uploaded_by><![CDATA[kimaidou]]></uploaded_by>
        <create_date>2012-02-16T18:04:45.621776+00:00</create_date>
        <update_date>2026-03-09T10:48:40.472138+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/lizmap-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/lizmap-plugin]]></repository>
        <tags><![CDATA[web,cloud,mobile,wfs,server,wms,publication,wps,webmapping,webservice,internet,webgis,online]]></tags>
        <downloads>285347</downloads>
        <average_vote>4.4235033911565225</average_vote>
        <rating_votes>170</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[MultiEdit chooses an attribute value from a vector layer and selecting the matching features, changes all the corresponding to a new value: useful if you have many features to modify.This plugin lets you write the new value in any existing field in the attribute table, for the selected features or newly created from plugin gui...]]></description>
        <about><![CDATA[MultiEdit plugin version for 3.x Qgis release]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/demarcog/MultiEdit]]></homepage>
        <file_name>MultiEdit.1.1.zip</file_name>
        <icon>/media/packages/2021/multiedit.png</icon>
        <author_name><![CDATA[Giuseppe De Marco]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MultiEdit/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[demarcog]]></uploaded_by>
        <create_date>2012-03-01T18:20:48.273873+00:00</create_date>
        <update_date>2021-08-16T11:54:20.516596+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/demarcog/MultiEdit/issues]]></tracker>
        <repository><![CDATA[http://www.pienocampo.it/pyqgis/plugins.xml]]></repository>
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        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Profile tool" version="4.3.4" plugin_id="87">
        <description><![CDATA[Plots terrain profile]]></description>
        <about><![CDATA[This tool plots profile lines from raster layers or point vector layer with elevation field. Supports multiple lines as well as graph export to svg, pdf, png or csv file. Supports 3D polyline export to dxf.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PANOimagen/profiletool]]></homepage>
        <file_name>profiletool.4.3.4.zip</file_name>
        <icon>/media/packages/2026/profileIcon.png</icon>
        <author_name><![CDATA[Borys Jurgiel - Patrice Verchere - Etienne Tourigny - Javier Becerra]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/profiletool/version/4.3.4/download/</download_url>
        <uploaded_by><![CDATA[nicogodet]]></uploaded_by>
        <create_date>2012-03-10T07:41:58.884204+00:00</create_date>
        <update_date>2026-03-19T10:26:04.689733+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PANOimagen/profiletool/issues]]></tracker>
        <repository><![CDATA[https://github.com/PANOimagen/profiletool]]></repository>
        <tags><![CDATA[vector,raster,profile]]></tags>
        <downloads>1614896</downloads>
        <average_vote>4.298324226343405</average_vote>
        <rating_votes>838</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Midvatten" version="1.8.3" plugin_id="92">
        <description><![CDATA[A toolset that makes QGIS an interface for editing/viewing hydrogeological observational data (drillings, water levels, seismic data etc) stored in a sqlite db.]]></description>
        <about><![CDATA[The plugin is a toolset for using QGIS to manage observational data from hydrogeological investigations. Data is stored in a spatialite database.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.6</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/henrikspa/qgis-midvatten-plugin/wiki]]></homepage>
        <file_name>midvatten.1.8.3.zip</file_name>
        <icon>/media/packages/2026/MidvSettings_U82xGQ7.png</icon>
        <author_name><![CDATA[Josef Källgården, Henrik Spångmyr]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/midvatten/version/1.8.3/download/</download_url>
        <uploaded_by><![CDATA[henrikspa]]></uploaded_by>
        <create_date>2012-03-15T09:16:26.315278+00:00</create_date>
        <update_date>2026-02-19T08:58:24.577074+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/henrikspa/qgis-midvatten-plugin/issues?state=open]]></tracker>
        <repository><![CDATA[https://github.com/henrikspa/qgis-midvatten-plugin.git]]></repository>
        <tags><![CDATA[stratigraphy,hydrogeology,time series,groundwater,borehole,piper diagram]]></tags>
        <downloads>52896</downloads>
        <average_vote>4.291607061013041</average_vote>
        <rating_votes>72</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qNote" version="2.3" plugin_id="122">
        <description><![CDATA[Save notes in QGIS projects]]></description>
        <about><![CDATA[qNote is plugin for saving text notes in QGIS project files, basic HTML-formatting and hyperlinks are supported]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.gis-support.pl/qnote-notatki-w-qgis/]]></homepage>
        <file_name>qNote.2.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[GIS Support, Piotr Pociask]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qNote/version/2.3/download/</download_url>
        <uploaded_by><![CDATA[p0cisk]]></uploaded_by>
        <create_date>2012-04-01T14:35:02.937363+00:00</create_date>
        <update_date>2023-09-06T13:14:36.717379+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/p0cisk/qNote/issues]]></tracker>
        <repository><![CDATA[https://github.com/p0cisk/qNote]]></repository>
        <tags><![CDATA[project]]></tags>
        <downloads>48889</downloads>
        <average_vote>4.433185560481317</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[A collection of QGIS vector layer operation plugins]]></description>
        <about><![CDATA[MMQGIS is a set of Python plugins for manipulating vector map layers in Quantum GIS: CSV input/output/join, geocoding, geometry conversion, buffering, hub analysis, simplification, column modification, and simple animation. MMQGIS provides an alternative to the Processing toolbox, with verbose progress reporting, an intuitive user interface, direct shapefile/CSV-file access, and some additional capabilities missing from other plugin sets.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://michaelminn.com/linux/mmqgis]]></homepage>
        <file_name>mmqgis.2024.11.8.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Michael Minn]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mmqgis/version/2024.11.8/download/</download_url>
        <uploaded_by><![CDATA[michaelminn]]></uploaded_by>
        <create_date>2012-05-07T02:15:43.380615+00:00</create_date>
        <update_date>2024-11-09T14:04:05.110300+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://michaelminn.com/linux/mmqgis]]></tracker>
        <repository><![CDATA[https://plugins.qgis.org/plugins/mmqgis]]></repository>
        <tags><![CDATA[vector,sort,merge,animate,delete]]></tags>
        <downloads>1682231</downloads>
        <average_vote>4.435241074444494</average_vote>
        <rating_votes>749</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WFS 2.0 Client" version="0.10.0" plugin_id="141">
        <description><![CDATA[Client for OGC Web Feature Service 2.0]]></description>
        <about><![CDATA[Client for OGC Web Feature Service 2.0. Best used in combination with the ComplexGmlInfo Plugin (experimental).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.weichand.de]]></homepage>
        <file_name>wfsclient.0.10.0.zip</file_name>
        <icon>/media/packages/2020/icon_UZnzVjf.png</icon>
        <author_name><![CDATA[Juergen Weichand, Tim Vinzing, Edward Nash, Wilhelm Beiche]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wfsclient/version/0.10.0/download/</download_url>
        <uploaded_by><![CDATA[ejn]]></uploaded_by>
        <create_date>2012-05-29T19:47:22.597876+00:00</create_date>
        <update_date>2025-12-05T09:09:14.347631+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgisinspiretools/qgis-wfs20-client-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgisinspiretools/qgis-wfs20-client-plugin]]></repository>
        <tags><![CDATA[wfs,queries,download service,inspire]]></tags>
        <downloads>128665</downloads>
        <average_vote>4.287188434165594</average_vote>
        <rating_votes>94</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Plugin Reloader" version="0.21" plugin_id="143">
        <description><![CDATA[Reloads a chosen plugin in one click]]></description>
        <about><![CDATA[This tool is only useful for Python Plugin Developers!]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/borysiasty/plugin_reloader]]></homepage>
        <file_name>plugin_reloader.0.21.zip</file_name>
        <icon>/media/packages/2026/reload_84p7udg.png</icon>
        <author_name><![CDATA[Borys Jurgiel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/plugin_reloader/version/0.21/download/</download_url>
        <uploaded_by><![CDATA[borysiasty]]></uploaded_by>
        <create_date>2012-05-30T07:57:45.389210+00:00</create_date>
        <update_date>2026-03-22T10:01:00.371508+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/borysiasty/plugin_reloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/borysiasty/plugin_reloader]]></repository>
        <tags><![CDATA[python,development,reload,reloader,developer]]></tags>
        <downloads>289817</downloads>
        <average_vote>4.5565019282524855</average_vote>
        <rating_votes>230</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="INSPIRE Atom Client" version="0.9.0" plugin_id="151">
        <description><![CDATA[Client for INSPIRE Downloadservices based on ATOM-Feeds]]></description>
        <about><![CDATA[Client allowing data from INSPIRE pre-defined ATOM-Feed Download services to be imported as QGIS layers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.weichand.de]]></homepage>
        <file_name>inspireatomclient.0.9.0.zip</file_name>
        <icon>/media/packages/2020/icon_suU8F8F.png</icon>
        <author_name><![CDATA[Juergen Weichand, Stefan Ziegler, Tim Vinzing, Edward Nash, Wilhelm Beiche]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/inspireatomclient/version/0.9.0/download/</download_url>
        <uploaded_by><![CDATA[ejn]]></uploaded_by>
        <create_date>2012-06-20T09:16:28.591720+00:00</create_date>
        <update_date>2025-12-08T12:43:35.517121+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgisinspiretools/qgis-inspire-atom-client-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgisinspiretools/qgis-inspire-atom-client-plugin]]></repository>
        <tags><![CDATA[download service,inspire,atom]]></tags>
        <downloads>28580</downloads>
        <average_vote>3.6162370204997614</average_vote>
        <rating_votes>86</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MultiQml" version="0.7.0" plugin_id="158">
        <description><![CDATA[Apply a style from a QML file to multiple raster or vector layers]]></description>
        <about><![CDATA[Select an existing QML style file to apply it to multiple raster or vector layers to make them appear to be the same. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://nextgis.com]]></homepage>
        <file_name>multiqml.0.7.0.zip</file_name>
        <icon>/media/packages/2024/icon_9bGAUSZ.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/multiqml/version/0.7.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2012-06-29T08:59:13.722974+00:00</create_date>
        <update_date>2024-11-20T14:00:09.170551+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_multiqml/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_multiqml/]]></repository>
        <tags><![CDATA[vector,raster,style]]></tags>
        <downloads>33876</downloads>
        <average_vote>3.8708428760362565</average_vote>
        <rating_votes>31</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quickly save default QML" version="0.2.0" plugin_id="159">
        <description><![CDATA[Save default QML in one click]]></description>
        <about><![CDATA[Save default QML for a layer or layers in one click. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nextgis/qgis_quicksaveqml]]></homepage>
        <file_name>quicksaveqml.0.2.0.zip</file_name>
        <icon>/media/packages/2024/icon_kuKdRHn.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quicksaveqml/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2012-06-29T09:20:31.346632+00:00</create_date>
        <update_date>2024-11-20T16:19:30.351531+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_quicksaveqml/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_quicksaveqml]]></repository>
        <tags><![CDATA[vector,raster,style]]></tags>
        <downloads>14616</downloads>
        <average_vote>3.8886728515082494</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DumpLoadField" version="0.4.0" plugin_id="162">
        <description><![CDATA[Dump or load text values for a field]]></description>
        <about><![CDATA[Dump or load text values from/to a selected field from/to a textfile. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nextgis.com]]></homepage>
        <file_name>dumploadfield.0.4.0.zip</file_name>
        <icon>/media/packages/2024/icon_oatfEZr.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dumploadfield/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2012-06-29T10:00:45.265330+00:00</create_date>
        <update_date>2024-11-20T15:51:05.792401+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_dumploadfield/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_dumploadfield]]></repository>
        <tags><![CDATA[vector,load,field,dump]]></tags>
        <downloads>18528</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Join lines" version="0.6.0" plugin_id="165">
        <description><![CDATA[Permanently join two lines]]></description>
        <about><![CDATA[Permanently join two intersecting or snapped lines. Same layer. Not to be mistaken with multiline.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nextgis.com]]></homepage>
        <file_name>joinlines.0.6.0.zip</file_name>
        <icon>/media/packages/2024/icon_PJOVHBU.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/joinlines/version/0.6.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2012-06-29T10:59:23.198710+00:00</create_date>
        <update_date>2024-11-19T14:11:18.619733+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_joinlines/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_joinlines]]></repository>
        <tags><![CDATA[vector,line,join]]></tags>
        <downloads>50002</downloads>
        <average_vote>4.299856671444285</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="osmpoly_export" version="0.7.0" plugin_id="172">
        <description><![CDATA[Export vector polygons to poly-files]]></description>
        <about><![CDATA[Select a feature or export the whole layer as poly-files used by Osmosis for cliping OpenStreetMap data. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://nextgis.com]]></homepage>
        <file_name>osmpoly_export.0.7.0.zip</file_name>
        <icon>/media/packages/2024/osmpoly_export.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/osmpoly_export/version/0.7.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2012-06-29T12:40:58.063345+00:00</create_date>
        <update_date>2024-11-20T09:34:35.160430+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/nextgis/qgis_osmpoly_export/issues]]></tracker>
        <repository><![CDATA[http://github.com/nextgis/qgis_osmpoly_export]]></repository>
        <tags><![CDATA[vector,export,openstreetmap,osm,osmosis,poly]]></tags>
        <downloads>60273</downloads>
        <average_vote>4.093622074310178</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PgVersion" version="3.6.4" plugin_id="181">
        <description><![CDATA[Client for the Postgres Versioning System pgvs]]></description>
        <about></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hdus/pgversion]]></homepage>
        <file_name>pgversion.3.6.4.zip</file_name>
        <icon>/media/packages/2026/pgversion-log_Xo7qzOT.svg</icon>
        <author_name><![CDATA[Dr. Horst Duester]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pgversion/version/3.6.4/download/</download_url>
        <uploaded_by><![CDATA[hdus]]></uploaded_by>
        <create_date>2012-07-03T18:46:28.847080+00:00</create_date>
        <update_date>2026-01-14T12:45:01.633003+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hdus/pgversion/issues]]></tracker>
        <repository><![CDATA[https://github.com/hdus/pgversion.git]]></repository>
        <tags><![CDATA[PostGIS,svn,versioning]]></tags>
        <downloads>34050</downloads>
        <average_vote>3.1665912716363898</average_vote>
        <rating_votes>42</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="InaSAFE" version="5.0.7" plugin_id="183">
        <description><![CDATA[InaSAFE is free software that allows disaster managers to study realistic natural hazard impact scenarios for better planning, preparedness and response activities.]]></description>
        <about><![CDATA[Developed for the Indonesian Government - BNPB, Australian Government - AIFDR and DMInnovation and, and World Bank - GFDRR]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.inasafe.org/]]></homepage>
        <file_name>inasafe.5.0.7.zip</file_name>
        <icon>/media/packages/2025/icon_1eJwWUl.png</icon>
        <author_name><![CDATA[Indonesian Government - BNPB, Australian Government and World Bank - GFDRR]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/inasafe/version/5.0.7/download/</download_url>
        <uploaded_by><![CDATA[timlinux]]></uploaded_by>
        <create_date>2012-07-04T12:35:14.112545+00:00</create_date>
        <update_date>2025-05-21T12:14:02.965242+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/inasafe/inasafe/issues]]></tracker>
        <repository><![CDATA[https://github.com/inasafe/inasafe]]></repository>
        <tags><![CDATA[risk,contingency planning,impact assessments,disaster scenarios,natural hazards]]></tags>
        <downloads>150267</downloads>
        <average_vote>4.34841896334904</average_vote>
        <rating_votes>66</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Azimuth and Distance Plugin" version="0.9.19" plugin_id="189">
        <description><![CDATA[Creates a feature from azimuths and distances]]></description>
        <about><![CDATA[This plugin aims to help users that want to create geometries from a list of azimuths and distances, such as the description on some old land registration documents.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mpetroff/qgsazimuth]]></homepage>
        <file_name>qgsAzimuth.0.9.19.zip</file_name>
        <icon>/media/packages/2026/qgsazimuth_wSyQsOW.png</icon>
        <author_name><![CDATA[Mauricio de Paulo, Fred Laplante, DMS Australia, TechnoglogyOne, Matthew Petroff]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgsAzimuth/version/0.9.19/download/</download_url>
        <uploaded_by><![CDATA[mpetroff]]></uploaded_by>
        <create_date>2012-07-12T19:58:08.454808+00:00</create_date>
        <update_date>2024-02-15T01:16:05.070359+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mpetroff/qgsazimuth/issues]]></tracker>
        <repository><![CDATA[https://github.com/mpetroff/qgsazimuth]]></repository>
        <tags><![CDATA[land registration]]></tags>
        <downloads>297118</downloads>
        <average_vote>4.234978825105874</average_vote>
        <rating_votes>200</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Cloud Plugin" version="3.11.2" plugin_id="202">
        <description><![CDATA[Publish maps on qgiscloud.com]]></description>
        <about><![CDATA[QGIS Cloud is your powerful Web-GIS platform for publishing maps, data and services on the internet.  Create and edit professional maps with all the capabilities from QGIS.     With only a few short mouse-clicks you can share your work on qgiscloud.com with the public. &lt;br&gt;&lt;br&gt;The documentation of  QGIS Cloud can be found in &lt;a href=&quot;https://docs.qgiscloud.com/en/&quot;&gt;English&lt;/a&gt; or &lt;a href=&quot;https://docs.qgiscloud.com/de/&quot;&gt;German&lt;/a&gt;.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://qgiscloud.com/]]></homepage>
        <file_name>qgiscloud.3.11.2.zip</file_name>
        <icon>/media/packages/2025/icon_vTzqupQ.png</icon>
        <author_name><![CDATA[Sourcepole - Linux &amp; Open Source Solutions, Weberstrasse 5, 8004 Zurich, Switzerland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgiscloud/version/3.11.2/download/</download_url>
        <uploaded_by><![CDATA[hdus]]></uploaded_by>
        <create_date>2012-08-21T22:24:16.399091+00:00</create_date>
        <update_date>2025-12-15T13:12:19.052774+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgiscloud/qgis-cloud-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgiscloud/qgis-cloud-plugin]]></repository>
        <tags><![CDATA[postgis,cloud,mobile,wfs,server,web-client,wms,wcs,wfs-t,qwc2]]></tags>
        <downloads>664751</downloads>
        <average_vote>4.2239831040675835</average_vote>
        <rating_votes>250</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qgSurf" version="4.0.2" plugin_id="205">
        <description><![CDATA[Processing of geological planes and surfaces]]></description>
        <about><![CDATA[qgSurf is a field-mapping/structural-geology plugin that can be used as an aid in: a) estimating the attitude of sub-planar geological surfaces given three or more points on a topographic surface; b) determining the intersection between a geological plane and a topographic surface; c) calculating the distance between points and a geological plane; d) plotting geological data in a stereonet; e) creating geological profiles.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/mauroalberti/qgSurf]]></homepage>
        <file_name>qgSurf.4.0.2.zip</file_name>
        <icon>/media/packages/2026/qgsurf_ML6EdiP.png</icon>
        <author_name><![CDATA[Mauro Alberti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgSurf/version/4.0.2/download/</download_url>
        <uploaded_by><![CDATA[mauroalberti]]></uploaded_by>
        <create_date>2012-08-26T10:25:51.178195+00:00</create_date>
        <update_date>2026-01-09T15:38:21.129252+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/mauroalberti/qgSurf/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/mauroalberti/qgSurf]]></repository>
        <tags><![CDATA[raster,intersection,structural geology,dem,geological planes]]></tags>
        <downloads>79056</downloads>
        <average_vote>4.449888752781181</average_vote>
        <rating_votes>40</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DirectionalSlope" version="1.3.2" plugin_id="219">
        <description><![CDATA[Calculates directional slope along given and variable orientations]]></description>
        <about><![CDATA[This plugin allows to calculate directional slope along uniform or spatially-variable orientations, from a source DEM]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/mauroalberti/directionalslope]]></homepage>
        <file_name>DirectionalSlope.1.3.2.zip</file_name>
        <icon>/media/packages/2017/icon_hEX4f5R.png</icon>
        <author_name><![CDATA[Mauro Alberti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DirectionalSlope/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[mauroalberti]]></uploaded_by>
        <create_date>2012-09-08T18:53:10.429434+00:00</create_date>
        <update_date>2021-10-15T20:10:35.756094+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/mauroalberti/directionalslope/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/mauroalberti/directionalslope]]></repository>
        <tags><![CDATA[geomorphology,dem,directional slope]]></tags>
        <downloads>64951</downloads>
        <average_vote>4.062373050842162</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PS Time Series Viewer" version="1.1.1" plugin_id="220">
        <description><![CDATA[Computation and visualization of time series of speed for
Permanent Scatterers derived from satellite interferometry]]></description>
        <about><![CDATA[Computation and visualization of time series of speed for
Permanent Scatterers derived from satellite interferometry]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.faunalia.eu/en/dev]]></homepage>
        <file_name>pstimeseries.1.1.1.zip</file_name>
        <icon>/media/packages/2024/logo_i6cExAn.png</icon>
        <author_name><![CDATA[Giuseppe Sucameli (Faunalia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pstimeseries/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[ghtmtt]]></uploaded_by>
        <create_date>2012-09-13T09:47:53.617799+00:00</create_date>
        <update_date>2024-08-21T12:36:41.382336+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/faunalia/ps-speed/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/faunalia/ps-speed]]></repository>
        <tags><![CDATA[permanent scatterers,time series]]></tags>
        <downloads>31260</downloads>
        <average_vote>3.810078353438564</average_vote>
        <rating_votes>79</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VectorFieldCalc" version="1.5.4" plugin_id="221">
        <description><![CDATA[Calculation of vector field parameters]]></description>
        <about><![CDATA[This plugin calculates vector field parameters (e.g., magnitude, divergence, curl) and pathlines, given two rasters representing x- and y- velocities]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/mauroalberti/VectorFieldCalc]]></homepage>
        <file_name>VectorFieldCalc.1.5.4.zip</file_name>
        <icon>/media/packages/2018/icon_tlwfykm.png</icon>
        <author_name><![CDATA[Mauro Alberti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VectorFieldCalc/version/1.5.4/download/</download_url>
        <uploaded_by><![CDATA[mauroalberti]]></uploaded_by>
        <create_date>2012-09-16T16:16:44.244039+00:00</create_date>
        <update_date>2021-11-03T20:17:47.892528+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/mauroalberti/VectorFieldCalc/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/mauroalberti/VectorFieldCalc]]></repository>
        <tags><![CDATA[raster,flow,curl,magnitude,divergence,gradient,vector field]]></tags>
        <downloads>58159</downloads>
        <average_vote>3.809342412266082</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Point sampling tool" version="0.5.6" plugin_id="223">
        <description><![CDATA[Samples polygon attributes and raster values from multiple layers at specified sampling points]]></description>
        <about><![CDATA[The Point Sampling Tool Plugin collects polygon attributes and raster values from multiple layers at specified sampling points. You need a point layer with locations of sampling points and at least one polygon or raster layer to probe values from. The plugin creates a new point layer with locations given by the sampling points and attributes taken from all the underlying polygons or/and raster cells. Please use Control and Shift keys in order to select multiple columns and bands. Note this tool is not compatible with mulitipoint sources, unless each multipoint contains exactly one point. Using multipoint samples that contain more points in multipoints may produce unreliable results.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/borysiasty/pointsamplingtool]]></homepage>
        <file_name>pointsamplingtool.0.5.6.zip</file_name>
        <icon>/media/packages/2026/pointSamplingToolIcon.png</icon>
        <author_name><![CDATA[Borys Jurgiel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pointsamplingtool/version/0.5.6/download/</download_url>
        <uploaded_by><![CDATA[borysiasty]]></uploaded_by>
        <create_date>2012-09-16T21:31:45.689810+00:00</create_date>
        <update_date>2026-03-03T11:19:59.791272+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/borysiasty/pointsamplingtool/issues]]></tracker>
        <repository><![CDATA[http://github.com/borysiasty/pointsamplingtool]]></repository>
        <tags><![CDATA[vector,raster,sample,point]]></tags>
        <downloads>653731</downloads>
        <average_vote>4.377468948778316</average_vote>
        <rating_votes>302</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NumericalDigitize" version="0.4.8" plugin_id="232">
        <description><![CDATA[Numerical Digitize is QGIS plugin for creating and editing features by inserting, changing or deleting numerical values of vertex&#x27;s coordinates from keybord or from clipboard]]></description>
        <about><![CDATA[Numerical Digitize append two tools to vector editing panel of QGIS.
1. First tool allow you to create new feature of current editing layer by entering
numerical values of vertices from keyboard or paste it from clipboard. You can append,
insert or remove vertices, add or remove parts and rings, reproject coordinates in
process of create feature.
2. Second tool allow edit existing feature of current editing layer. You can perform
the same operations as when creating feature. You can also copy coordinates to
clipboard and then paste it in some program for creating report, by example.
Detailed help file can be found at menu &#x27;Vector&#x27;-&gt;&#x27;Numerical digitize&#x27;-&gt;&#x27;Help&#x27;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/desertwolf7/NumericalDigitize/]]></homepage>
        <file_name>numericalDigitize.0.4.8.zip</file_name>
        <icon>/media/packages/2020/vector-create-keyboard_DTa4lYo.png</icon>
        <author_name><![CDATA[Igor Chumichev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/numericalDigitize/version/0.4.8/download/</download_url>
        <uploaded_by><![CDATA[desertwolf]]></uploaded_by>
        <create_date>2012-10-06T10:32:32.223209+00:00</create_date>
        <update_date>2024-08-08T15:34:22.063952+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/desertwolf7/NumericalDigitize/issues]]></tracker>
        <repository><![CDATA[https://github.com/desertwolf7/NumericalDigitize/]]></repository>
        <tags><![CDATA[point,polygon,line,edit,coordinates,create,numerical,clipboard,multipart,reproject]]></tags>
        <downloads>260650</downloads>
        <average_vote>4.365342640936144</average_vote>
        <rating_votes>104</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Contour plugin" version="2.0.15" plugin_id="233">
        <description><![CDATA[Generates contours from point layer]]></description>
        <about><![CDATA[Generate a contour layer based on an attribute of a point vector layer.

Builds a processing plugin and a GUI interface for simple direct contouring of point layers.
The source point layer Can be either gridded or randomly organised.
The layer resulting contours can be rendered with a graduated renderer using a colour ramp.
The layer includes properties that can be used to replicate or modify the contouring parameters.

Requires python modules numpy and matplotlib

Recommends loading the MemoryLayerSaver plugin to save the contours with the project]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ccrook/QGIS-Contour-Plugin]]></homepage>
        <file_name>contour.2.0.15.zip</file_name>
        <icon>/media/packages/2026/contour_MHuGM7j.png</icon>
        <author_name><![CDATA[Chris Crook, Lionel Roubeyrie]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/contour/version/2.0.15/download/</download_url>
        <uploaded_by><![CDATA[ccrook]]></uploaded_by>
        <create_date>2012-10-08T09:44:39.169158+00:00</create_date>
        <update_date>2025-03-10T08:30:52.791726+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ccrook/QGIS-Contour-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ccrook/QGIS-Contour-Plugin]]></repository>
        <tags><![CDATA[python,processing,contour]]></tags>
        <downloads>457354</downloads>
        <average_vote>4.173899083949553</average_vote>
        <rating_votes>299</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LecoS - Landscape Ecology Statistics" version="3.0.1" plugin_id="237">
        <description><![CDATA[Contains several analytical functions for land cover analysis]]></description>
        <about><![CDATA[LecoS is based on metrics taken from FRAGSTATS: http://www.umass.edu/landeco/research/fragstats/fragstats.html Functions include the calculation of metrics on rasters and vector layers. A polygon overlay tool is also available to ease up computation. Additionally LecoS provides some functionalities to manipulate classified raster images.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://conservationecology.wordpress.com/lecos-land-cover-statistics/]]></homepage>
        <file_name>LecoS.3.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_OFIkDFy.png</icon>
        <author_name><![CDATA[Martin Jung]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LecoS/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[Curlew]]></uploaded_by>
        <create_date>2012-10-12T22:52:45.493699+00:00</create_date>
        <update_date>2022-12-12T12:37:07.539337+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Martin-Jung/LecoS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Martin-Jung/LecoS]]></repository>
        <tags><![CDATA[ecology,statistics,land cover,landscape,analytical tools]]></tags>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Crayfish" version="4.0.0" plugin_id="241">
        <description><![CDATA[Tools for mesh layers QGIS]]></description>
        <about><![CDATA[The Crayfish plugin contains set of advanced tool for the QGIS Mesh Layer as plots and animations.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.lutraconsulting.co.uk/products/crayfish]]></homepage>
        <file_name>crayfish.4.0.0.zip</file_name>
        <icon>/media/packages/2025/crayfish_128px.png</icon>
        <author_name><![CDATA[Lutra Consulting]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/crayfish/version/4.0.0/download/</download_url>
        <uploaded_by><![CDATA[sabb]]></uploaded_by>
        <create_date>2012-10-17T18:13:32.021285+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lutraconsulting/qgis-crayfish-plugin/issues]]></tracker>
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        <description><![CDATA[Plugin to easily load the available Dutch PDOK (Publieke Dienstverlening Op de Kaart) services. Currently only in Dutch.]]></description>
        <about><![CDATA[Nederlands:

- Plugin om eenvoudiger PDOK services (WMS, WMTS, WFS, WCS en OGC:API tiles/features) te laden in QGIS.
- Handig? Doneer een koffie of borrel via https://liberapay.com/rduivenvoorde/
- Een paar opmerkingen: alle dataset en de url&#x27;s zijn te vinden op https://www.pdok.nl/datasets
- LET OP: van sommige (vooral grote) dataset worden/zijn de WFS services uitgefaseerd, en dan vervangen door een ATOM-feed. In de feed zit dan een download-url voor de gehele dataset. Die feed moet u zelf van https://www.pdok.nl/datasets ophalen.]]></about>
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        <icon>/media/packages/2026/icon_pdok_cWNGmW4.svg</icon>
        <author_name><![CDATA[Richard Duivenvoorde]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pdokservicesplugin/version/5.2.2/download/</download_url>
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        <repository><![CDATA[https://codeberg.org/rduivenvoorde/pdokservicesplugin]]></repository>
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        <server>False</server>
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        <description><![CDATA[Caricatore file CXF Catasto]]></description>
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La necessità di registrarsi per la georeferenziazione serve a garantire la
qualità del dato e a non far proliferare sistemi di georeferenziazione che
farebbero confusione.
La procedura di georiferimento attuale è univoca (trasformazione di datum) e
riguarda in maniera omogenea tutti i fogli dell&#x27;intero del Comune di riferimento.
Per migliorare la georeferenziazione all&#x27;interno del singolo Comune deve
essere applicata una trasformazione per singoli fogli.
La procedure di georiferimento dei singoli fogli è presente per la
Regione Friuli Venezia Giulia.
Attendo progetti specifici per ampliare la gereferenziazione per singolo
foglio per altre parti del territorio italiano.
Cxf_in carica la trasformazione globale (trasformazione di datum) e se la
trova successivamente applica i parametri di correzione al singolo foglio
L&#x27;applicativo per la trasformazione è già pronto. Tale procedura necessita
dei fogli catastali vettorilai. Per avere informazioni non esitate a scrivermi.
Per informazioni scrivere a saccon@gisplan.it]]></about>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>Cxf_in.9.2.zip</file_name>
        <icon>/media/packages/2016/icon_oPoG6UX.png</icon>
        <author_name><![CDATA[Saccon Fabio]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Cxf_in/version/9.2/download/</download_url>
        <uploaded_by><![CDATA[saccon]]></uploaded_by>
        <create_date>2012-10-22T10:31:30.848375+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/saccon/CXF_in/issues]]></tracker>
        <repository><![CDATA[https://github.com/saccon/CXF_in]]></repository>
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        <server>False</server>
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        <description><![CDATA[Modules for Land Use Change Simulations]]></description>
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        <file_name>molusce.5.3.0.zip</file_name>
        <icon>/media/packages/2026/molusce_logo_5mnryQ1.svg</icon>
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        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/molusce/issues]]></tracker>
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        <tags><![CDATA[raster,land use planning]]></tags>
        <downloads>133698</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Flow Trace" version="1.1.1" plugin_id="246">
        <description><![CDATA[Select line segments upstream of a selected line segment]]></description>
        <about><![CDATA[This Plugin will select all upstream polyline segments starting from a selected line segment.  The only data you need to supply is a layer with polyline segments and a selected feature from the layer.  If no segments are selected then you have connectivity issues with your data. It will select the upstream node based on the digitized direction.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2021/icon_dWIbEjH.png</icon>
        <author_name><![CDATA[Ed B]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flowTrace/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[boesiii]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/boesiii/flowtrace/issues]]></tracker>
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        <tags><![CDATA[python]]></tags>
        <downloads>47891</downloads>
        <average_vote>3.727188018454126</average_vote>
        <rating_votes>44</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QTiles" version="2.1.0" plugin_id="255">
        <description><![CDATA[Generate map tiles from a QGIS project]]></description>
        <about><![CDATA[Generates raster tiles from QGIS project for selected zoom levels and tile naming conventions (Slippy Map or TMS). Package tiles for NextGIS Mobile, GeoPaparazzi, simple Leaflet-based viewer or MBTiles. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nextgis/QTiles]]></homepage>
        <file_name>qtiles.2.1.0.zip</file_name>
        <icon>/media/packages/2026/qtiles_PPBCLHW.svg</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qtiles/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/QTiles/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/QTiles]]></repository>
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        <downloads>149154</downloads>
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        <rating_votes>416</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[AniMove for QGIS]]></description>
        <about><![CDATA[MCP and Kernel functions for UD. Randomization of home ranges and animal paths within a study area. Supported by Faunalia, Giuseppe Puddu (Ente Monti Cimini - RN Lago di Vico), Marco Zaccaroni (Department of Biology, University of Firenze), Prof. António Mira (University of Évora, Portugal, Unidade de Biologia da Conservação), Dr. Rosana Peixoto PhD, Dimitris Poursanidis, Giovanni Manghi, Stefano Anile, WildCRU (University of Oxford) and Julia Hazel. Developed by Francesco Boccacci, Víctor González, Alexander Bruy, and Matteo Ghetta for Faunalia (https://www.faunalia.eu/).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/faunalia/animove/-/tree/master#animove-algorithms-for-qgis]]></homepage>
        <file_name>sextante_animove.3.0.1.zip</file_name>
        <icon>/media/packages/2022/animalmove_RU50Ohc.png</icon>
        <author_name><![CDATA[Matteo Ghetta (Faunalia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sextante_animove/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[ghtmtt]]></uploaded_by>
        <create_date>2012-12-27T18:32:27.411486+00:00</create_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/faunalia/animove/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/faunalia/sextante_animove/]]></repository>
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        <downloads>55873</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Geospatial tool for managing point-based simulation models]]></description>
        <about><![CDATA[Geospatial tool for managing point-based simulation models]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2019/icon_GwUnPpi.png</icon>
        <author_name><![CDATA[Kelly R. Thorp]]></author_name>
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        <uploaded_by><![CDATA[kthorp]]></uploaded_by>
        <create_date>2013-01-07T21:35:05.376941+00:00</create_date>
        <update_date>2019-02-05T16:10:37.332726+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kthorp/GeoSim/issues]]></tracker>
        <repository><![CDATA[https://github.com/kthorp/GeoSim]]></repository>
        <tags><![CDATA[geospatial,simulation model]]></tags>
        <downloads>40644</downloads>
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        <rating_votes>27</rating_votes>
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        <server>False</server>
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        <description><![CDATA[Edit geometry of features using plain text (WKT, WKB)]]></description>
        <about></about>
        <trusted>True</trusted>
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        <author_name><![CDATA[Denis Rouzaud]]></author_name>
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        <server>False</server>
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        <description><![CDATA[QGIS plugin. Kakao(Daum), Naver, VWorld, NGII Map Layers for Korean users]]></description>
        <about><![CDATA[QGIS plugin. Kakao(Daum), Naver, VWorld, NGII Map Layers for Korean users]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mangosystem/qgis-tmsforkorea-plugin]]></homepage>
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        <icon>/media/packages/2022/openlayers_c865oek.png</icon>
        <author_name><![CDATA[Minpa Lee]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tmsforkorea/version/3.0.5/download/</download_url>
        <uploaded_by><![CDATA[MapPlus]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/mangosystem/qgis-tmsforkorea-plugin]]></tracker>
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        <trusted>False</trusted>
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        <download_url>https://plugins.qgis.org/plugins/kuw_filter/version/2.5.5/download/</download_url>
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        <trusted>True</trusted>
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        <homepage><![CDATA[https://fromgistors.blogspot.com/p/semi-automatic-classification-plugin.html]]></homepage>
        <file_name>SemiAutomaticClassificationPlugin.8.5.0.zip</file_name>
        <icon>/media/packages/2026/semiautomaticclassificationplugin_K21mpOs.png</icon>
        <author_name><![CDATA[Luca Congedo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SemiAutomaticClassificationPlugin/version/8.5.0/download/</download_url>
        <uploaded_by><![CDATA[lucasupervised]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/semiautomaticgit/SemiAutomaticClassificationPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/semiautomaticgit/SemiAutomaticClassificationPlugin]]></repository>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multipart Split" version="1.0.0" plugin_id="285">
        <description><![CDATA[Split selected multipart features during edit session]]></description>
        <about><![CDATA[The plugins adds a &quot;Splits feature(s) parts&quot; item to the Edit menu, and a similar button in the Advanced digitizing toolbar. The buttons are only enabled when the current layer is in edit mode and has features selected.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://hub.qgis.org/projects/multipartsplit]]></homepage>
        <file_name>splitmultipart.1.0.0.zip</file_name>
        <icon>/media/packages/2018/icon_v369Dey.svg</icon>
        <author_name><![CDATA[Alexandre Neto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/splitmultipart/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[srneto]]></uploaded_by>
        <create_date>2013-02-14T23:35:34.387724+00:00</create_date>
        <update_date>2018-11-13T00:41:52.342147+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://hub.qgis.org/projects/multipartsplit/issues]]></tracker>
        <repository><![CDATA[https://github.com/SrNetoChan/MultipartSplit]]></repository>
        <tags><![CDATA[multipart; singlepart; split; explode]]></tags>
        <downloads>137028</downloads>
        <average_vote>4.59518339067392</average_vote>
        <rating_votes>84</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Distribution Map Generator" version="1.0.0" plugin_id="288">
        <description><![CDATA[A QGIS plugin to batch create distribution maps from point data.]]></description>
        <about><![CDATA[This QGIS plugin generates a series of distribution maps based on a layer of point localities. It uses a chosen field in the localities attribute table to select matching features, and intersects that with a separate vector layer which contains the grid polygons (these could be provinces, squares, or you could use the point layer itself to get point maps out). The selected points or polygons are then overlaid on the base map. Each distribution map is saved as a png file, with the unique identifier as a filename.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://rudivs.github.com/DistroMap]]></homepage>
        <file_name>DistroMap.1.0.0.zip</file_name>
        <icon>/media/packages/2018/icon_VaoFIVf.svg</icon>
        <author_name><![CDATA[Rudi von Staden]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DistroMap/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[rudivs]]></uploaded_by>
        <create_date>2013-02-27T17:19:38.830878+00:00</create_date>
        <update_date>2018-09-18T18:39:22.945959+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rudivs/DistroMap/issues]]></tracker>
        <repository><![CDATA[https://github.com/rudivs/DistroMap]]></repository>
        <tags><![CDATA[map,distribution,range,species]]></tags>
        <downloads>25530</downloads>
        <average_vote>3.9045759725727343</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Shapefile Encoding Fixer" version="0.7.1" plugin_id="289">
        <description><![CDATA[Fix broken encoding declaration in ESRI Shapefiles]]></description>
        <about><![CDATA[Allows to display and overwrite encoding declaration stored in the LDID byte as well as a .CPG file, so you don&#x27;t need to turn off the autodetection any more.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/borysiasty/shapefile_encoding_fixer]]></homepage>
        <file_name>shapefile_encoding_fixer.0.7.1.zip</file_name>
        <icon>/media/packages/2023/encoding_fixer.png</icon>
        <author_name><![CDATA[Borys Jurgiel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shapefile_encoding_fixer/version/0.7.1/download/</download_url>
        <uploaded_by><![CDATA[borysiasty]]></uploaded_by>
        <create_date>2013-03-03T21:23:37.946599+00:00</create_date>
        <update_date>2023-10-25T16:46:47.046467+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/borysiasty/shapefile_encoding_fixer/issues]]></tracker>
        <repository><![CDATA[https://github.com/borysiasty/shapefile_encoding_fixer]]></repository>
        <tags><![CDATA[shapefile,encoding,ldid,dbf,cpg]]></tags>
        <downloads>65593</downloads>
        <average_vote>3.8196095145981217</average_vote>
        <rating_votes>61</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ZoomRC" version="0.6.3" plugin_id="292">
        <description><![CDATA[Zoom to a Spanish Cadastre Reference]]></description>
        <about><![CDATA[Zoom to a Spanish Cadastre Reference]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fpsampayo/zoomrc]]></homepage>
        <file_name>zoomrc.0.6.3.zip</file_name>
        <icon>/media/packages/2018/icon_0vKYF5J.png</icon>
        <author_name><![CDATA[Francisco P. Sampayo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/zoomrc/version/0.6.3/download/</download_url>
        <uploaded_by><![CDATA[fpsampayo]]></uploaded_by>
        <create_date>2013-03-13T12:25:44.725085+00:00</create_date>
        <update_date>2025-11-28T11:24:50.473988+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fpsampayo/zoomrc/issues]]></tracker>
        <repository><![CDATA[https://github.com/fpsampayo/zoomrc]]></repository>
        <tags><![CDATA[cadastre,catastro,dcg,referencia catastral]]></tags>
        <downloads>36297</downloads>
        <average_vote>4.290184187606851</average_vote>
        <rating_votes>31</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qProf" version="0.5.1" plugin_id="294">
        <description><![CDATA[Calculates height and slope profiles from DEM and GPX files, and plots geological attitudes and traces on profiles.]]></description>
        <about><![CDATA[qProf is a plugin for the generation of topographic and geological profiles. Topography can be extracted from DEM or GPX files. Geological data, such as stratification attitude and geological traces, can be projected on the profile. Intersections between geological outcrops or faults can be determined.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mauroalberti/qProf]]></homepage>
        <file_name>qProf.0.5.1.zip</file_name>
        <icon>/media/packages/2023/qprof.png</icon>
        <author_name><![CDATA[Mauro Alberti, Marco Zanieri]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qProf/version/0.5.1/download/</download_url>
        <uploaded_by><![CDATA[mauroalberti]]></uploaded_by>
        <create_date>2013-03-16T09:15:14.445592+00:00</create_date>
        <update_date>2023-06-25T19:44:18.691618+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mauroalberti/qProf/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/mauroalberti/qProf]]></repository>
        <tags><![CDATA[raster,geology,dem,profiles,gpx,cross-section,fold axis]]></tags>
        <downloads>204188</downloads>
        <average_vote>4.2307285506870125</average_vote>
        <rating_votes>104</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="bulkvectorexport" version="1.1" plugin_id="296">
        <description><![CDATA[export vector layers to common format and crs]]></description>
        <about><![CDATA[Export opened vector layers from the project to a common folder, format and CRS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/zsiki/bulkvectorexport]]></homepage>
        <file_name>BulkVectorExport.1.1.zip</file_name>
        <icon>/media/packages/2020/icon_aOOgY6V.png</icon>
        <author_name><![CDATA[Zoltan Siki]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BulkVectorExport/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[Siki]]></uploaded_by>
        <create_date>2013-03-22T19:07:38.720289+00:00</create_date>
        <update_date>2020-03-08T22:02:17.176583+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zsiki/bulkvectorexport/issues]]></tracker>
        <repository><![CDATA[https://github.com/zsiki/bulkvectorexport]]></repository>
        <tags><![CDATA[export vector crs]]></tags>
        <downloads>37325</downloads>
        <average_vote>3.818112397956401</average_vote>
        <rating_votes>55</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Data-Driven Input Mask" version="2.5.0" plugin_id="323">
        <description><![CDATA[Opens a data-driven input mask for any PostgreSQL Layer]]></description>
        <about><![CDATA[DataDrivenInputMask is a QGIS plugin that automagically creates input masks for PostgreSQL layers. All table constraints (notNull, foreign keys etc.) are taken into account. From this mask the user can edit any data contained in related tables, too (n-2m relations). The appearance of the mask (field names, field order, tabs, min and max values) is configurable in dedicated database tables. In addition to the input mask a search mask is provided with exactly the same layout as the input mask.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bstroebl/DataDrivenInputMask/wiki]]></homepage>
        <file_name>DataDrivenInputMask.2.5.0.zip</file_name>
        <icon>/media/packages/2024/datadriveninputmask.png</icon>
        <author_name><![CDATA[Bernhard Ströbl]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DataDrivenInputMask/version/2.5.0/download/</download_url>
        <uploaded_by><![CDATA[best]]></uploaded_by>
        <create_date>2013-05-08T11:20:23.672653+00:00</create_date>
        <update_date>2024-05-13T17:35:24.416064+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bstroebl/DataDrivenInputMask/issues]]></tracker>
        <repository><![CDATA[https://github.com/bstroebl/DataDrivenInputMask]]></repository>
        <tags><![CDATA[vector,postgis,database,attribute edit,PostGIS]]></tags>
        <downloads>97986</downloads>
        <average_vote>4.090785127723403</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Contrast homogenizer" version="3.2" plugin_id="330">
        <description><![CDATA[Applies the contrast enhancement parameters of the selected layer to all visible layers]]></description>
        <about><![CDATA[Contrast Homogenizer allows to apply the contrast stretching of the current layer to all visible layers in QGIS. Likely to be useful when you open several adjacent images as QGIS enhances the contrast of each image independently based on their histogram. So the rendering is not homogeneous. This plugin allows to have this homogeneity on display. See README.md for more information.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/amondot/contrast-homogenizer]]></homepage>
        <file_name>ContrastHomogenizer.3.2.zip</file_name>
        <icon>/media/packages/2019/icon_RHvQNiY.png</icon>
        <author_name><![CDATA[Alexia Mondot]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ContrastHomogenizer/version/3.2/download/</download_url>
        <uploaded_by><![CDATA[amondot]]></uploaded_by>
        <create_date>2013-06-07T16:27:51.603176+00:00</create_date>
        <update_date>2019-09-04T20:57:13.189839+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/amondot/contrast-homogenizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/amondot/contrast-homogenizer]]></repository>
        <tags><![CDATA[stretching,contrast,histogram]]></tags>
        <downloads>20562</downloads>
        <average_vote>4.213984715377473</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="New Memory Layer" version="0.5.3" plugin_id="331">
        <description><![CDATA[Create an empty memory layer]]></description>
        <about><![CDATA[The plugin creates a new layer in memory just in two simple clicks.
All you need to do is to call the plugin, choose geometry type
and optionally a name for the new layer. No attributes are created
in order to make it as easy as possible. You can find the plugin button
in the Layers toolbar as well as in the Layer-&gt;New Layer menu.
You can also use a keyboard shortcut (Ctrl-M by default).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/borysiasty/NewMemoryLayer]]></homepage>
        <file_name>NewMemoryLayer.0.5.3.zip</file_name>
        <icon>/media/packages/2026/layer-memory-create_nS6zWJG.png</icon>
        <author_name><![CDATA[Borys Jurgiel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NewMemoryLayer/version/0.5.3/download/</download_url>
        <uploaded_by><![CDATA[borysiasty]]></uploaded_by>
        <create_date>2013-06-10T08:05:18.076495+00:00</create_date>
        <update_date>2026-03-15T10:58:49.118895+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/borysiasty/NewMemoryLayer/issues]]></tracker>
        <repository><![CDATA[https://github.com/borysiasty/NewMemoryLayer]]></repository>
        <tags><![CDATA[vector,memory layer,new]]></tags>
        <downloads>20909</downloads>
        <average_vote>3.999921570165291</average_vote>
        <rating_votes>51</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Zoom To Postcode" version="1.0" plugin_id="334">
        <description><![CDATA[Zoom the map extent to a UK postcode]]></description>
        <about><![CDATA[Zoom the map canvas to a UK postcode.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mattkernow/ZoomToPostcode-QGIS-Plugin]]></homepage>
        <file_name>ZoomToPostcode.1.0.zip</file_name>
        <icon>/media/packages/2018/zoomicon_VXsHdRo.png</icon>
        <author_name><![CDATA[Matthew Walsh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ZoomToPostcode/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mattwalsh]]></uploaded_by>
        <create_date>2013-06-22T15:06:49.483492+00:00</create_date>
        <update_date>2018-09-11T19:28:40.837670+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mattkernow/ZoomToPostcode-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/mattkernow/ZoomToPostcode-QGIS-Plugin]]></repository>
        <tags><![CDATA[python,zoom,postcode,uk]]></tags>
        <downloads>49508</downloads>
        <average_vote>3.6103427228217813</average_vote>
        <rating_votes>77</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Digitizing Tools" version="1.5.3" plugin_id="340">
        <description><![CDATA[Subsumes different tools useful during digitizing sessions]]></description>
        <about><![CDATA[DigitizingTools is meant to be a compilation of tools missing in basic QGIS, especially when digitizing on existing features. It is a collaborative effort and does not contain CAD like functions meant for construction.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bstroebl/DigitizingTools/wiki]]></homepage>
        <file_name>DigitizingTools.1.5.3.zip</file_name>
        <icon>/media/packages/2025/digitizingtools.png</icon>
        <author_name><![CDATA[Bernhard Ströbl, Angelos Tzotsos (NTUA)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DigitizingTools/version/1.5.3/download/</download_url>
        <uploaded_by><![CDATA[best]]></uploaded_by>
        <create_date>2013-07-09T13:40:31.488770+00:00</create_date>
        <update_date>2025-01-21T18:24:26.553769+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bstroebl/DigitizingTools/issues]]></tracker>
        <repository><![CDATA[https://github.com/bstroebl/DigitizingTools]]></repository>
        <tags><![CDATA[digitizing]]></tags>
        <downloads>665148</downloads>
        <average_vote>4.169338026862794</average_vote>
        <rating_votes>248</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OSM place search" version="1.6.1" plugin_id="354">
        <description><![CDATA[Location search helper]]></description>
        <about><![CDATA[Based on OSM data, Nominatim online tool (https://operations.osmfoundation.org/policies/nominatim/)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/xcaeag/Nominatim-Qgis-Plugin]]></homepage>
        <file_name>nominatim.1.6.1.zip</file_name>
        <icon>/media/packages/2026/nominatim_ZMxUWpO.png</icon>
        <author_name><![CDATA[Xavier Culos (Agence de l&#x27;eau Adour Garonne)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nominatim/version/1.6.1/download/</download_url>
        <uploaded_by><![CDATA[xcaeag]]></uploaded_by>
        <create_date>2013-08-09T12:52:15.649214+00:00</create_date>
        <update_date>2026-04-15T07:03:40.697218+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/xcaeag/Nominatim-Qgis-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/xcaeag/Nominatim-Qgis-Plugin]]></repository>
        <tags><![CDATA[location search helper osm]]></tags>
        <downloads>595035</downloads>
        <average_vote>4.289795255429123</average_vote>
        <rating_votes>314</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LandXml import plugin" version="2.4" plugin_id="357">
        <description><![CDATA[Import parcels and nodes from a LINZ LandXml file]]></description>
        <about><![CDATA[The LandXml format is an Xml format used to transfer cadastral survey data.
The format can describe cadastral survey parcels, nodes, and observations.
This plugin is used to extract information from a LandXml data file into
memory layers in the QGIS plugin.  Currently it supports parcels and
nodes, and observations.
The plugin is designed to work with LandXml files generated by the
Land Information New Zealand Landonline application - it may not support
LandXml from other sources.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/linz/QGIS-LandXML-Plugin]]></homepage>
        <file_name>LandXml.2.4.zip</file_name>
        <icon>/media/packages/2023/LandXmlIcon.png</icon>
        <author_name><![CDATA[Chris Crook]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LandXml/version/2.4/download/</download_url>
        <uploaded_by><![CDATA[ccrook]]></uploaded_by>
        <create_date>2013-08-28T03:58:28.971312+00:00</create_date>
        <update_date>2023-02-13T03:21:25.863021+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/linz/QGIS-LandXML-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/linz/QGIS-LandXML-Plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>62814</downloads>
        <average_vote>3.558098161649283</average_vote>
        <rating_votes>86</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QChainage" version="3.1.2" plugin_id="366">
        <description><![CDATA[This plugin takes line features and creates a new layer of points
in provided distances on top of these Lines. Optionally you can set the
startpoint (distance from the start of the line) and the endpoint (stop
before reaching the end of the line).]]></description>
        <about><![CDATA[QChainage either separates the selected (or all) Line-Features into
parts, or performs linear referencing from a chosen distance. Chainage can be
all along the whole feature or between a selectable start and endpoint.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>4.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mach0/qchainage]]></homepage>
        <file_name>qchainage.3.1.2.zip</file_name>
        <icon>/media/packages/2026/qchainage.png</icon>
        <author_name><![CDATA[Werner Macho]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qchainage/version/3.1.2/download/</download_url>
        <uploaded_by><![CDATA[macho]]></uploaded_by>
        <create_date>2013-09-13T21:01:54.737689+00:00</create_date>
        <update_date>2026-02-26T19:28:28.006945+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mach0/qchainage]]></tracker>
        <repository><![CDATA[https://github.com/mach0/qchainage]]></repository>
        <tags><![CDATA[vector,feature chainage,chainages,measurement,linear referencing]]></tags>
        <downloads>177368</downloads>
        <average_vote>4.3961849416514935</average_vote>
        <rating_votes>106</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VoGIS-ProfilTool" version="3.0.2" plugin_id="376">
        <description><![CDATA[Create profiles from DEMs using vector geometries or a digitized line.]]></description>
        <about><![CDATA[Create profiles from DEMs using vector geometries or a digitized line.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BergWerkGIS/VoGIS-Profil-Tool/]]></homepage>
        <file_name>VoGisProfilTool.3.0.2.zip</file_name>
        <icon>/media/packages/2019/icon_YLc6bp4.png</icon>
        <author_name><![CDATA[BergWerk GIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VoGisProfilTool/version/3.0.2/download/</download_url>
        <uploaded_by><![CDATA[BergWerkGis]]></uploaded_by>
        <create_date>2013-09-21T16:17:21.840229+00:00</create_date>
        <update_date>2019-01-07T09:27:39.740874+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BergWerkGIS/VoGIS-Profil-Tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/BergWerkGIS/VoGIS-Profil-Tool/]]></repository>
        <tags><![CDATA[raster,profile,dem,profiles,vorarlberg,dxf,vogis,matplotlib,csv,equidistant]]></tags>
        <downloads>86366</downloads>
        <average_vote>4.166589507601711</average_vote>
        <rating_votes>54</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Copy_Coords" version="0.4.0" plugin_id="377">
        <description><![CDATA[Capture map coordinates in ONE click to paste them into a spreadsheet]]></description>
        <about><![CDATA[Capture coordinates from the map in exactly one click for immediate pasting into a spreadsheet, as simple as it gets. Use SHIFT to copy coordinates in EPSG:4326 (WGS 1984) independently from what your current CRS is. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nextgis.com]]></homepage>
        <file_name>copy_coords.0.4.0.zip</file_name>
        <icon>/media/packages/2024/cursor_xWDzUAf.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/copy_coords/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2013-10-11T17:47:48.679983+00:00</create_date>
        <update_date>2024-11-20T09:50:45.096950+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_copy_coords/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_copy_coords]]></repository>
        <tags><![CDATA[coords,copy coords]]></tags>
        <downloads>56673</downloads>
        <average_vote>4.608495282813791</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Send2GE" version="1.0.1" plugin_id="378">
        <description><![CDATA[Sends current location to Google Earth]]></description>
        <about><![CDATA[Grab current location and send it to Google Earth. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nextgis/send2google_earth]]></homepage>
        <file_name>send2google_earth.1.0.1.zip</file_name>
        <icon>/media/packages/2026/send2ge_QQ2tI27.svg</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/send2google_earth/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2013-10-11T18:06:26.435071+00:00</create_date>
        <update_date>2026-04-07T10:08:38.050377+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/send2google_earth/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/send2google_earth]]></repository>
        <tags><![CDATA[google,google earth]]></tags>
        <downloads>136211</downloads>
        <average_vote>4.821342476027214</average_vote>
        <rating_votes>56</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Buffer by Percentage" version="0.3.3" plugin_id="383">
        <description><![CDATA[Buffer polygon features so the buffered area is a specified percentage of the original area]]></description>
        <about><![CDATA[Instead of buffering a polygon using a specified buffer distance, this
plugin lets the user specify the area the buffered polygon should cover, as
a percentage of the original polygon&#x27;s area]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jdugge/BufferByPercentage]]></homepage>
        <file_name>BufferByPercentage.0.3.3.zip</file_name>
        <icon>/media/packages/2020/icon_iGMzcx4.svg</icon>
        <author_name><![CDATA[Juernjakob Dugge]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BufferByPercentage/version/0.3.3/download/</download_url>
        <uploaded_by><![CDATA[tentotwo]]></uploaded_by>
        <create_date>2013-10-17T21:46:39.827854+00:00</create_date>
        <update_date>2020-06-08T21:06:17.245389+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jdugge/BufferByPercentage/issues]]></tracker>
        <repository><![CDATA[https://github.com/jdugge/BufferByPercentage]]></repository>
        <tags><![CDATA[vector,geometry,buffer]]></tags>
        <downloads>109779</downloads>
        <average_vote>4.309798453542908</average_vote>
        <rating_votes>71</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="pgRoutingLayer" version="4.0.0" plugin_id="385">
        <description><![CDATA[Dockable widget that adds pgRouting layers]]></description>
        <about><![CDATA[Dockable widget that adds pgRouting layers
- pgr_astar pgr_astarCost
- pgr_bdAstar pgr_astarCost
- pgr_dijstra pgr_dijstraCost
- pgr_bdDijstra pgr_bdDijstraCost
- pgr_KSP]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis.pgrouting.org/]]></homepage>
        <file_name>pgRoutingLayer.4.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_0QqSeDe.png</icon>
        <author_name><![CDATA[Anita Graser, Ko Nagase, Vicky Vergara, Cayetano Benavent, Aasheesh Tiwari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pgRoutingLayer/version/4.0.0/download/</download_url>
        <uploaded_by><![CDATA[sanak]]></uploaded_by>
        <create_date>2013-10-20T12:40:48.204960+00:00</create_date>
        <update_date>2025-10-30T16:36:10.442027+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pgRouting/pgRoutingLayer/issues]]></tracker>
        <repository><![CDATA[https://github.com/pgRouting/pgRoutingLayer]]></repository>
        <tags><![CDATA[postgis,network analysis,routing,pgrouting]]></tags>
        <downloads>59781</downloads>
        <average_vote>4.086867676789635</average_vote>
        <rating_votes>46</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HTP Geoprocessor" version="1.2" plugin_id="390">
        <description><![CDATA[Geospatial tool for geoprocessing HTP sensor data]]></description>
        <about><![CDATA[Geospatial tool for geoprocessing high-throughput phenotyping sensor data]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kthorp/HTPGeoprocessor]]></homepage>
        <file_name>htpgeoprocessor.1.2.zip</file_name>
        <icon>/media/packages/2019/icon_5W1aV7o.png</icon>
        <author_name><![CDATA[Kelly R. Thorp]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/htpgeoprocessor/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[kthorp]]></uploaded_by>
        <create_date>2013-11-04T18:52:07.149354+00:00</create_date>
        <update_date>2019-02-05T16:04:50.111874+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kthorp/HTPGeoprocessor/issues]]></tracker>
        <repository><![CDATA[https://github.com/kthorp/HTPGeoprocessor]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>38073</downloads>
        <average_vote>4.117404858537733</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="cadastre" version="2.2.5" plugin_id="397">
        <description><![CDATA[This plugins helps users to use French land registry data, called Cadastre, in QGIS. It is only useful in
France for people having access to Cadastre data. Funded by : the European Union, Fonds Européen de Développement
Régional de Picardie, Conseil Régional de Picardie, Agence de Développement et d&#x27;Urbanisme du Grand Amienois.]]></description>
        <about><![CDATA[This plugins helps users to use french land registry data, called Cadastre, in QGIS. It is only usefull in France for people having access to Cadastre data. Funded by : the European Union, Fonds Europeen de Developpement Regional de Picardie, Conseil Regional de Picardie, Agence de Developpement et d Urbanisme du Grand Amienois.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.3liz.org/QgisCadastrePlugin/]]></homepage>
        <file_name>cadastre.2.2.5.zip</file_name>
        <icon>/media/packages/2025/icon_dbci6oa.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cadastre/version/2.2.5/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2013-11-07T15:56:56.064810+00:00</create_date>
        <update_date>2025-11-17T15:48:01.104295+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/QgisCadastrePlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/QgisCadastrePlugin]]></repository>
        <tags><![CDATA[import,edigeo,majic,cadastre,france,french]]></tags>
        <downloads>382437</downloads>
        <average_vote>4.090892921371852</average_vote>
        <rating_votes>253</rating_votes>
        <external_dependencies></external_dependencies>
        <server>True</server>
    </pyqgis_plugin><pyqgis_plugin name="geopunt4Qgis" version="2.5.0.4" plugin_id="407">
        <description><![CDATA[NL: Plug-in om Geopunt-functionaliteiten in QGIS te gebruiken
EN: Plug-in to use Geopunt-functionalities in QGIS]]></description>
        <about><![CDATA[Geopunt4Qgis - “Geopunt voor QGIS” is de plug-in voor de QGIS open source desktop GIS, die de webservices van Digitaal Vlaanderen en andere agentschappen van de Vlaamse overheid ontsluit naar desktop GIS-gebruikers. Digitaal Vlaanderen biedt een aantal geografische diensten (webservices) aan die mogen gebruikt worden door derden, zoals andere overheden en bedrijven.
Beknopt overzicht van functionaliteiten:
- Zoeken op adres (gewoon, in batch en prikken op kaart) op basis van Gebouwen- en Adressenregister Vlaanderen.
- Zoeken naar interessante plaatsen (POI) in Geopunt
- Hoogteprofielen genereren
- Zoeken naar percelen
- Zoeken naar kaartlagen via Datavindplaats
EN: Geopunt4QGIS – “Geopunt for QGIS” is the plug-in for the QGIS open-source desktop GIS that exposes the web services of Digitaal Vlaanderen and other agencies of the Flemish government to desktop GIS users. Digitaal Vlaanderen provides a range of geographic services (web services) that may be used by third parties, such as other public authorities and companies.
Brief overview of functionalities:
- Geocoding (standard, batch, and reverse), based on the Buildings and Address Registry Flanders.
- Search for points of interest (POI) in Geopunt.
- Generate elevation profiles.
- Search for parcels.
- Search for layers via the Datavindplaats.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.vlaanderen.be/geopunt/plug-ins]]></homepage>
        <file_name>geopunt4Qgis.2.5.0.4.zip</file_name>
        <icon>/media/packages/2026/geopunt_1pXGQtn.png</icon>
        <author_name><![CDATA[Kay Warrie]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geopunt4Qgis/version/2.5.0.4/download/</download_url>
        <uploaded_by><![CDATA[warrieka]]></uploaded_by>
        <create_date>2013-12-15T15:22:57.339324+00:00</create_date>
        <update_date>2026-03-03T08:05:35.979060+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Informatievlaanderen/geopunt-plugins-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/Informatievlaanderen/geopunt-plugins-qgis]]></repository>
        <tags><![CDATA[address,inspire,brussels,webservice,adres,adressen,gipod,point of interest,vlaanderen,brussel,belgie,flanders,geocode,grb,location,crab,poi,belgium,gdi,geopunt,agiv,geolokatie,urbis]]></tags>
        <downloads>150517</downloads>
        <average_vote>4.279348833105395</average_vote>
        <rating_votes>68</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="shptoobs" version="1.1.3" plugin_id="408">
        <description><![CDATA[Converts shape files to RayMan input objectfiles (.obs) and/or loads .obs files as vector layers. ]]></description>
        <about><![CDATA[Transformation of shapefiles into object files for the use with the RayMan / SkyHelios model by a plugin for Quantum GIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.urbanclimate.net/rayman]]></homepage>
        <file_name>shp_to_obs.1.1.3.zip</file_name>
        <icon>/media/packages/2019/icon_wSjjXYi.png</icon>
        <author_name><![CDATA[Dominik Fröhlich]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shp_to_obs/version/1.1.3/download/</download_url>
        <uploaded_by><![CDATA[miftour]]></uploaded_by>
        <create_date>2013-12-17T15:11:29.727955+00:00</create_date>
        <update_date>2019-04-29T11:59:04.033552+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/dominikfroehlich/shp_to_obs/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/dominikfroehlich/shp_to_obs/]]></repository>
        <tags><![CDATA[shape,shp,conversion,obstacle,rayman]]></tags>
        <downloads>16277</downloads>
        <average_vote>3.6360330879011</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PPConverter" version="1.0" plugin_id="409">
        <description><![CDATA[Convert PhoToPlan-images to GeoTIFFs]]></description>
        <about><![CDATA[Convert PhoToPlan-images to GeoTIFFs]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nmueller18/ppconverter/]]></homepage>
        <file_name>PPConverter_20.1.0.zip</file_name>
        <icon>/media/packages/2019/icon_g4EUU0S.png</icon>
        <author_name><![CDATA[Nils Müller-Scheeßel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PPConverter_20/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[nilsms18]]></uploaded_by>
        <create_date>2013-12-18T12:41:41.601809+00:00</create_date>
        <update_date>2019-06-22T22:18:52.359892+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nmueller18/ppconverter/issues]]></tracker>
        <repository><![CDATA[https://github.com/nmueller18/ppconverter]]></repository>
        <tags><![CDATA[archaeology fotogrammetry conversion geotiff]]></tags>
        <downloads>11031</downloads>
        <average_vote>4.499625031247397</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Qgis2threejs" version="2.10" plugin_id="412">
        <description><![CDATA[3D map visualization and web export powered by three.js JavaScript library]]></description>
        <about><![CDATA[This plugin visualizes DEM and vector data in 3D within web browsers. You can easily create various 3D objects, generate files for web publishing, and export 3D models in glTF format for 3DCG or 3D printing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/minorua/Qgis2threejs]]></homepage>
        <file_name>Qgis2threejs.2.10.zip</file_name>
        <icon>/media/packages/2026/Qgis2threejs_HZDYBYX.png</icon>
        <author_name><![CDATA[Minoru Akagi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Qgis2threejs/version/2.10/download/</download_url>
        <uploaded_by><![CDATA[akaginch]]></uploaded_by>
        <create_date>2013-12-23T07:30:23.816806+00:00</create_date>
        <update_date>2026-04-13T07:34:16.171673+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/minorua/Qgis2threejs/issues]]></tracker>
        <repository><![CDATA[https://github.com/minorua/Qgis2threejs]]></repository>
        <tags><![CDATA[web,animation,dem,terrain,3d,gltf,ar,story,narrative]]></tags>
        <downloads>1379667</downloads>
        <average_vote>4.522990114336249</average_vote>
        <rating_votes>761</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Video Uav Tracker" version="2.1" plugin_id="420">
        <description><![CDATA[Replay a video in sync with a gps track displayed on the map (3d OPTIONS with &#x27;panda3d&#x27; module installed)]]></description>
        <about><![CDATA[see README file in repository for instructions and details]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sagost/Video_UAV_Tracker-3D/]]></homepage>
        <file_name>Video_UAV_Tracker.2.1.zip</file_name>
        <icon>/media/packages/2018/icon_k6idB5w.png</icon>
        <author_name><![CDATA[Salvatore Agosta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Video_UAV_Tracker/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[sagost]]></uploaded_by>
        <create_date>2013-12-30T16:34:42.087384+00:00</create_date>
        <update_date>2017-11-27T13:59:25.845956+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sagost/Video_UAV_Tracker-3D/issues]]></tracker>
        <repository><![CDATA[https://github.com/sagost/Video_UAV_Tracker-3D/]]></repository>
        <tags><![CDATA[python,database,uav,video,drone,3d,inspection,photogrammetry,direct georefencing,mosaic,georeferenced video,thermographic video,rov]]></tags>
        <downloads>35351</downloads>
        <average_vote>3.69875061746244</average_vote>
        <rating_votes>83</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="realcentroid" version="1.0.3" plugin_id="425">
        <description><![CDATA[Create internal point for a polygon layer]]></description>
        <about><![CDATA[Creates an internal ponts of a polygon layer into a new point layer. Attriburtes are copied too.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/zsiki/realcentroid/issues]]></homepage>
        <file_name>realcentroid.1.0.3.zip</file_name>
        <icon>/media/packages/2020/icon_ICG2R34.png</icon>
        <author_name><![CDATA[Zoltan Siki]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/realcentroid/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[Siki]]></uploaded_by>
        <create_date>2013-12-30T19:07:31.567951+00:00</create_date>
        <update_date>2020-02-26T07:06:23.513223+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zsiki/realcentroid/issues]]></tracker>
        <repository><![CDATA[https://github.com/zsiki/realcentroid.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>73318</downloads>
        <average_vote>4.6036867228920215</average_vote>
        <rating_votes>53</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KLIC Viewer" version="2.3.0" plugin_id="429">
        <description><![CDATA[View the result of a B4Udig request of the Netherlands to prevent damage]]></description>
        <about><![CDATA[When you want to dig mechanically In the Netherlands you are obliged to request information on the area where you want to dig. The information on the network you receive can be viewed in QGIS. Information includes vector (IMKL with GML) + raster (PNG) + letters and detaildrawings (PDF).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://diethard2.github.io/b4udignl]]></homepage>
        <file_name>b4udignl2.2.3.0.zip</file_name>
        <icon>/media/packages/2022/b4udig48.png</icon>
        <author_name><![CDATA[Diethard Jansen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/b4udignl2/version/2.3.0/download/</download_url>
        <uploaded_by><![CDATA[Diethard]]></uploaded_by>
        <create_date>2014-01-12T14:53:36.475378+00:00</create_date>
        <update_date>2022-04-24T19:53:06.755763+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/diethard2/b4udignl/issues]]></tracker>
        <repository><![CDATA[https://github.com/diethard2/b4udignl]]></repository>
        <tags><![CDATA[cbyd,klic viewer,wion,klic,klic win]]></tags>
        <downloads>27581</downloads>
        <average_vote>4.414526474964026</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SimpleReports" version="0.3.0" plugin_id="438">
        <description><![CDATA[Simple report generator]]></description>
        <about><![CDATA[Intersect a given area with layers and produce an OpenOffice ODT report. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/nextgis/simplereports]]></homepage>
        <file_name>simplereports.0.3.0.zip</file_name>
        <icon>/media/packages/2024/simplereports.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/simplereports/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2014-01-26T07:40:39.074144+00:00</create_date>
        <update_date>2022-11-18T12:03:57.644398+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/simplereports/issues]]></tracker>
        <repository><![CDATA[http://github.com/nextgis/simplereports]]></repository>
        <tags><![CDATA[vector,report]]></tags>
        <downloads>6869</downloads>
        <average_vote>2.7774691700922123</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Visibility Analysis" version="1.9.2" plugin_id="440">
        <description><![CDATA[Visibility analysis over raster DEM]]></description>
        <about><![CDATA[Viewshed analysis calculates visible surface from a given observer point over a digital elevation model. Additionally, this plugin can be used for modelling intervisibilty networks between groups of points. It is particularly performant for multiple viewshed calculations form a set of fixed points.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://landscapearchaeology.org/qgis-visibility-analysis/]]></homepage>
        <file_name>ViewshedAnalysis.1.9.2.zip</file_name>
        <icon>/media/packages/2025/icon_hMbczQp.png</icon>
        <author_name><![CDATA[Zoran Čučković]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ViewshedAnalysis/version/1.9.2/download/</download_url>
        <uploaded_by><![CDATA[zoran14]]></uploaded_by>
        <create_date>2014-01-30T23:12:42.138143+00:00</create_date>
        <update_date>2025-07-07T11:41:41.135033+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zoran-cuckovic/QGIS-visibility-analysis/issues]]></tracker>
        <repository><![CDATA[https://github.com/zoran-cuckovic/QGIS-visibility-analysis/tree/experimental]]></repository>
        <tags><![CDATA[raster,visibility,viewshed]]></tags>
        <downloads>265114</downloads>
        <average_vote>4.321055782422133</average_vote>
        <rating_votes>299</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Join multiple lines" version="0.4.1" plugin_id="443">
        <description><![CDATA[Permanently join multiple lines]]></description>
        <about><![CDATA[After selecting multiple features of a line layer, this plugin can merge them into one feature with a continuous line.
The plugin will automatically put the selected lines in a geographically logical order and direction. If the end points of two lines do not match exactly, a line segment between both points is added to make the end result a single, continuous line. The attributes of the new line will be those of one of the selected features, but one cannot predict which one.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dgoedkoop/joinmultiplelines]]></homepage>
        <file_name>joinmultiplelines.0.4.1.zip</file_name>
        <icon>/media/packages/2018/icon_u75r5I7.png</icon>
        <author_name><![CDATA[Daan Goedkoop]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/joinmultiplelines/version/0.4.1/download/</download_url>
        <uploaded_by><![CDATA[dgoedkoop]]></uploaded_by>
        <create_date>2014-02-03T19:22:12.550895+00:00</create_date>
        <update_date>2018-11-30T13:18:51.073006+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dgoedkoop/joinmultiplelines/issues]]></tracker>
        <repository><![CDATA[https://github.com/dgoedkoop/joinmultiplelines]]></repository>
        <tags><![CDATA[line,join]]></tags>
        <downloads>102792</downloads>
        <average_vote>3.742308329396752</average_vote>
        <rating_votes>163</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LRS" version="1.2.5" plugin_id="446">
        <description><![CDATA[Linear reference system builder and editor]]></description>
        <about><![CDATA[The plugin supports calibration, creation of punctual and linear events and calculation of measures for points]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://blazek.github.io/lrs/]]></homepage>
        <file_name>lrs.1.2.5.zip</file_name>
        <icon>/media/packages/2025/icon_ycO6FIG.svg</icon>
        <author_name><![CDATA[Radim Blazek, Simon South, Christophe Damour]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lrs/version/1.2.5/download/</download_url>
        <uploaded_by><![CDATA[rblazek]]></uploaded_by>
        <create_date>2014-02-05T10:40:03.342384+00:00</create_date>
        <update_date>2025-03-06T11:10:32.274747+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.io/blazek/lrs/issues/]]></tracker>
        <repository><![CDATA[https://github.io/blazek/lrs/]]></repository>
        <tags><![CDATA[vector,network,dynamic segmentation,linear referencing,lrs,linear reference system]]></tags>
        <downloads>79643</downloads>
        <average_vote>4.355099485051541</average_vote>
        <rating_votes>107</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spline" version="0.2" plugin_id="447">
        <description><![CDATA[Splines digitizing tool (spline = a chain of lines). Comes with a Processing algorithm for converting lines into splines.]]></description>
        <about><![CDATA[A modified cubic Hermite spline interpolator is used to obtain continuous piecewise third-degree polynomials between knots (known spline points). Each piece is converted to a chain of lines which is then simplified with Douglas-Peuker algorithm. The Processing algorithm supports vertices&#x27; z and m values - they are interpolated linearly between knots.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/erpas/spline/]]></homepage>
        <file_name>spline.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_ZAKYNAE.png</icon>
        <author_name><![CDATA[Radim Blazek, Radek Pasiok]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spline/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[rpasiok]]></uploaded_by>
        <create_date>2014-02-05T18:45:48.499436+00:00</create_date>
        <update_date>2021-01-03T13:32:07.913665+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/erpas/spline/issues/]]></tracker>
        <repository><![CDATA[https://github.com/erpas/spline/]]></repository>
        <tags><![CDATA[vector,digitizing,curve,spline]]></tags>
        <downloads>58101</downloads>
        <average_vote>3.7999309103470846</average_vote>
        <rating_votes>55</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SLD4raster" version="1.0" plugin_id="458">
        <description><![CDATA[Generates SLD (Styled Layer Descriptor) for raster layers.]]></description>
        <about><![CDATA[QGIS 3 plugin to generate SLD (Styled Layer Descriptor) for raster layers. Also it can transform SLD documents to QGIS Layer Style File (*.qgs). It supports multiband, singleband pseudocolor, gradient (white to black, black to white) styles also color interpolation type and opacity levels. Integrated with GeoServer Rest API. Provides direct upload of the styles.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://cbsuygulama.wordpress.com]]></homepage>
        <file_name>SLD4raster.1.0.zip</file_name>
        <icon>/media/packages/2018/icon_mIbNWCY.png</icon>
        <author_name><![CDATA[Mehmet Selim BILGIN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SLD4raster/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[MSBilgin]]></uploaded_by>
        <create_date>2014-02-10T22:59:59.865143+00:00</create_date>
        <update_date>2018-06-28T18:01:30.194026+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MSBilgin/SLD4raster/issues]]></tracker>
        <repository><![CDATA[https://github.com/MSBilgin/SLD4raster]]></repository>
        <tags><![CDATA[style,sld,raster layer,qml,geoserver]]></tags>
        <downloads>36038</downloads>
        <average_vote>4.424108360352717</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpeNoise Map" version="2.2" plugin_id="480">
        <description><![CDATA[opeNoise Map allows to compute the noise level generated by point source or by road source at fixed receiver points and buildings.]]></description>
        <about><![CDATA[The plugin allows to compute the noise level generated by point source or by road source at fixed receiver points and buildings.
Please consider the following condition:
- geometrical divergence
- atmospheric absorption ISO 9613-1
- pure diffraction without ground effects, for horizontal and vertical obstacles
- modelization is 3D]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Arpapiemonte/openoise]]></homepage>
        <file_name>opeNoise.2.2.zip</file_name>
        <icon>/media/packages/2024/icon_opeNoise_mini.png</icon>
        <author_name><![CDATA[Arpa Piemonte (developer Stefano Masera - porting Pierluigi De Rosa)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/opeNoise/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[Arpapiemonte]]></uploaded_by>
        <create_date>2014-03-25T14:57:14.903177+00:00</create_date>
        <update_date>2024-07-01T14:24:23.529545+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Arpapiemonte/openoise/issues]]></tracker>
        <repository><![CDATA[https://github.com/Arpapiemonte/openoise]]></repository>
        <tags><![CDATA[vector,shapefile,layer,road,shape,annoyance,noise,level,levels,roads,pollution,calculation,environmental,modellization,exposure,directive,2002/49/ec]]></tags>
        <downloads>48465</downloads>
        <average_vote>4.1074827152396205</average_vote>
        <rating_votes>93</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="go2streetview" version="10.0" plugin_id="481">
        <description><![CDATA[a plugin for Google Street View interaction within QGIS]]></description>
        <about><![CDATA[Go2streetview allows to get a Google Street View frame clicking and dragging the cursor on map to set location and direction of the desired view. Features: Automatic SRS conversion, Transparent proxying, View position on map, Take Snapshots of current view, Dockable Dialog Windows, Overlay info layer support, Map follows Streetview, Streetview service coverage, Digitize on Street View]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[http://geogear.wordpress.com]]></homepage>
        <file_name>go2streetview.10.0.zip</file_name>
        <icon>/media/packages/2015/icoStreetview.png</icon>
        <author_name><![CDATA[Enrico Ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/go2streetview/version/10.0/download/</download_url>
        <uploaded_by><![CDATA[enricofer]]></uploaded_by>
        <create_date>2014-03-25T16:34:47.118940+00:00</create_date>
        <update_date>2024-05-30T10:45:13.434489+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enricofer/go2streetview/issues]]></tracker>
        <repository><![CDATA[https://github.com/enricofer/go2streetview]]></repository>
        <tags><![CDATA[google,bing,overlay,streetview,snapshot,street,view,bird s eye,nominating,markers]]></tags>
        <downloads>586459</downloads>
        <average_vote>4.122567346556947</average_vote>
        <rating_votes>310</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Attribute painter" version="5.3" plugin_id="483">
        <description><![CDATA[Plugin for easy replication of attributes values between features of the same or even different layer]]></description>
        <about><![CDATA[Attribute Painter usage:
1) Click on &quot;Pick source feature&quot; and select a sample feature on map.
2) On the table below will appears a selection list for attributes to be applied.
3) Check the attributes to be copied.
4) If necessary override source attributes values editing cells
5) If necessary remap destination field between those available in field combobox
6) Select destination features
7) Click on &quot;Apply to selection&quot; to apply attributes to selected features&quot;
or
6) Click on &quot;Pick to Apply&quot; to apply attributes to features one by one
otherwise
8) Click &quot;Reset source&quot; to clear source selection

Attributes settings are now persistent changing between layers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enricofer/attributepainter/]]></homepage>
        <file_name>attributePainter.5.3.zip</file_name>
        <icon>/media/packages/2023/icon_2uBf4Qs.png</icon>
        <author_name><![CDATA[Enrico Ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/attributePainter/version/5.3/download/</download_url>
        <uploaded_by><![CDATA[enricofer]]></uploaded_by>
        <create_date>2014-03-25T16:36:44.751006+00:00</create_date>
        <update_date>2023-06-07T11:04:32.709340+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enricofer/attributepainter/issues]]></tracker>
        <repository><![CDATA[https://github.com/enricofer/attributepainter/]]></repository>
        <tags><![CDATA[vector,layer,fields,table,edit,copy,replication,apply,attributes]]></tags>
        <downloads>84796</downloads>
        <average_vote>3.7499218766275706</average_vote>
        <rating_votes>48</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Street View" version="4.4" plugin_id="488">
        <description><![CDATA[Street View]]></description>
        <about><![CDATA[Streetview allows you to open a web page with the Google Street View that highlights the part you have identified with two points (the base and target points) The target point is identified by dragging the base point]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/saccon/streetview-plugin/#readme]]></homepage>
        <file_name>StreetView.4.4.zip</file_name>
        <icon>/media/packages/2026/icon_pAS5lBD.png</icon>
        <author_name><![CDATA[Saccon Fabio]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/StreetView/version/4.4/download/</download_url>
        <uploaded_by><![CDATA[saccon]]></uploaded_by>
        <create_date>2014-03-26T18:01:56.164207+00:00</create_date>
        <update_date>2026-04-08T16:33:59.817417+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/saccon/streetview-plugin]]></tracker>
        <repository><![CDATA[https://github.com/saccon/streetview-plugin]]></repository>
        <tags><![CDATA[google,streetview]]></tags>
        <downloads>879410</downloads>
        <average_vote>4.336219315306333</average_vote>
        <rating_votes>345</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CalcArea" version="1.3.0" plugin_id="499">
        <description><![CDATA[this plugin calculates the area of a polygon while it&#x27;s being created or edited]]></description>
        <about><![CDATA[this plugin calculates the area of a polygon while it&#x27;s being created or edited]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/klausib/CalcArea/]]></homepage>
        <file_name>CalcArea.1.3.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[nikolaus batlogg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CalcArea/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[niba]]></uploaded_by>
        <create_date>2014-04-08T09:39:41.055845+00:00</create_date>
        <update_date>2019-03-05T08:52:05.655773+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[http://github.com/klausib/CalcArea/issues]]></tracker>
        <repository><![CDATA[http://github.com/klausib/CalcArea/]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>107078</downloads>
        <average_vote>4.244350125552765</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vgi2Shp" version="4.0.1" plugin_id="500">
        <description><![CDATA[Slovak cadastral VGI file format converter to ESRI SHP file format, for Slovak users only]]></description>
        <about><![CDATA[Popis vrstiev:
KLADPAR,UOV - parcely katastra nehnutelnosti, register C resp. E
ZAPPAR - vnutorna kresba parciel
ZNACKY - mapove znacky okrem znaciek kultur
POPIS - nazvoslovie (sidelne a nesidelne nazvy)
LINIE - dalsie prvky polohopisu
KATUZ - hranica katastralneho uzemia
ZUOB - hranica zastavaneho uzemia obce
TARCHY - tarchy na parcelach

Popis atributovej tabulky vrstvy KLADPAR resp. UOV:
1.Spracovanie len SGI suborov - VGI subory:
- Objekt, cislo objektu
- Vrstva, vrstva objektu
- KU, kod katastra
- Nazov_KU, nazov katastra
- Parcis, parcelne cislo - textovy udaj vo formate 123456.012
- CPA, parcelne cislo - ciselny udaj vo formate 1234560120
- Parcela, parcelne cislo - textovy udaj vo formate 123456/12
2.Spracovanie SGI suborov spolocne s SPI subormi - VGI a DBF subory v spolocnom adresari:
a.SPI subory - PA*.DBF resp. EP*.DBF:
- VYM, vymera parcely v m2
- DRP, druh pozemku
- PKK_PA, sposob vyuzitia pozemku
- DN1_PA az DN8_PA, druh chranenej nehnutelnosti
- UMP, umiestnenie pozemku
- PRP, prislusnost pozemku k PPF alebo LPF
- SPN, spolocna nehnutelnost
- DRV, druh pravneho vztahu
b.SPI subory - CS*.DBF:
- DRS_CS, druh stavby
- PKK_CS, popis stavby
- PEC_CS, supisne cislo
- MSS_CS, miestna cast
- VYM_CS, vymera stavby na pozemku
- ZCS_CS, zjednocovacie cislo stavby
- UMS_CS, umiestnenie stavby
- DON_CS, druh chranenej nehnutelnosti
c.SPI subory - PK*.DBF:
- PKU, kod povodneho katastra
- Nazov_PKU, nazov povodneho katastra
d.SPI subory - BP*.DBF a VL*.DBF:
- BNP_BP, bytovy/nebytovy priestor
- CIV_BP, oznacenie vchodu
- CIP_BP, cislo poschodia
- CIB_BP, cislo bytu / kod nebytoveho priestoru
- CNP_BP, popis priestoru
- VYM_BP, uzitkova plocha bytu / nebytoveho priestoru
- CLV_VL, cislo listu vlastnictva
- PCS_VL, poradove cislo spoluvlastnika
- VLA_VL, meno, nazov a adresa alebo sidlo vlastnika
- PRI_VL, priezvisko
- MNO_VL, meno
- ROD_VL, rodne meno
- TIP_VL, titul
- KPV_VL, typ identifikatora
- ICO_VL, ICO alebo rodne cislo, datum narodenia obcana
- PCZ_VL, poradove cislo zavodu
- PRV_VL, priezvisko (BSM)
- MEV_VL, meno (BSM)
- ROV_VL, rodne meno (BSM)
- TIZ_VL, titul (BSM)
- RCI_VL, rodne cislo alebo datum narodenia ucastnika (BSM)
- ULC_VL, adresa - ulica
- CPO_VL, adresa - supisne cislo
- MST_VL, adresa - mesto
- PSC_VL, adresa - PSC
- DOP_VL, doplnkovy udaj
- STT_VL, adresa - stat
- TUC_VL, ucastnik pravneho vztahu
- TVL_VL, typ vlastnika
- DRU_VL, druh ucastnika pravneho vztahu
- CIT_VL, vlastnicky podiel - citatel
- MEN_VL, vlastnicky podiel - menovatel
- CIT_BP, vlastnicky podiel - citatel
- MEN_BP, vlastnicky podiel - menovatel
- VLA_Podiel, vlastnicky podiel v m2
e.SPI subory - PV*.DBF a PV*.FPT:
- PZ1_PV az PZ8_PV, informacia o pravnych dokumentoch
f.SPI subory - UZ*.DBF (neaktualizovane od 1.1.2005, udaje len informativneho charakteru):
- CEL_UZ, cislo evidencneho listu
- UZI_UZ, nazov uzivatela
- SEK_UZ, druh vlastnictva
- SEK_Popis, upresnenie druhu vlastnictva

Nad ramec funkcionality pluginu Vgi2Shp poskytujem vyhotovenie SHP suborov z Vami zaslanych suborov grafickych a popisnych informacii katastra nehnutelnosti spolocne pre vacsi pocet katastrov (vrstvy z popisu vrstiev zahrnujuce viac katastrov v jednej vrstve) s moznostou vyhotovenia vo forme zakladnej verzie s atributovou tabulkou typu 1, rozsirenej verzie s atributovou tabulkou typu 2a, 2b a 2c a uplnnej verzie s atributovou tabulkou typu 2d a 2e (zavisi od Vami zaslanych VGI a DBF suborov) a to aj s moznostou vyberu podla mena a priezviska vlastnika, jeho rodneho cisla resp. identifikacneho cisla organizacie ICO a pod.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/olejar/Vgi2ShpConverter]]></homepage>
        <file_name>Vgi2ShpConverter.4.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_MTbxlah.png</icon>
        <author_name><![CDATA[Ing.Olejar Milan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Vgi2ShpConverter/version/4.0.1/download/</download_url>
        <uploaded_by><![CDATA[olejar]]></uploaded_by>
        <create_date>2014-04-09T06:22:39.151807+00:00</create_date>
        <update_date>2025-10-31T11:01:40.370283+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/olejar/Vgi2ShpConverter/issues]]></tracker>
        <repository><![CDATA[https://github.com/olejar/Vgi2ShpConverter]]></repository>
        <tags><![CDATA[converter,vgi format,shp format]]></tags>
        <downloads>14533</downloads>
        <average_vote>4.46136687050498</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EasyCustomLabeling" version="2.1" plugin_id="501">
        <description><![CDATA[Allows to quickly duplicate layer into memory layer ready for data defined labeling.  Requires Memory layer Saver &gt;= 3.2 to restore all labels correctly BUT it is currently not yet available to QGIS 3]]></description>
        <about><![CDATA[EasyCustomLabeling is a plugin for QGIS, designed to simplify the work for manual and data defined labeling. The tool duplicates a data vector layer into a new memory layer made of lines, adds all necessary fields for advanced custom labeling  like label location, rotation, color, font, callout, alignements. The resulting layer is activated ready to use labeling tools. Data is saved in Memory Layer provider, which means it is NOT saved to a file or a database. To make thoses layers persistent, please install Memory Layer Saver v3.2 or higher plugin, that saves all memory layers to a qdatastream file along the project named myqgisprojectname.qgs.mldata.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/haubourg/EasyCustomLabeling]]></homepage>
        <file_name>EasyCustomLabeling.2.1.zip</file_name>
        <icon>/media/packages/2018/icon_oGbMLpg.svg</icon>
        <author_name><![CDATA[Regis Haubourg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/EasyCustomLabeling/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[rhaubourg]]></uploaded_by>
        <create_date>2014-04-09T13:13:53.710493+00:00</create_date>
        <update_date>2018-08-03T08:03:29.948658+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/haubourg/EasyCustomLabeling/issues]]></tracker>
        <repository><![CDATA[http://plugins.qgis.org/plugins/]]></repository>
        <tags><![CDATA[labeling]]></tags>
        <downloads>145054</downloads>
        <average_vote>4.373578312326238</average_vote>
        <rating_votes>91</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Area Along Vector" version="2.0" plugin_id="515">
        <description><![CDATA[Create an area along a vector depending on a field value. Right and left sides can be distinguished.]]></description>
        <about><![CDATA[This plugin draws rectangle areas along polylines according to field values. It was developed in order to show car traffic volumes on a road network.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alexisdupontroc/AreaAlongVector]]></homepage>
        <file_name>AreaAlongVector.2.0.zip</file_name>
        <icon>/media/packages/2018/icon_bIXCWJd.png</icon>
        <author_name><![CDATA[Alexis Dupont-Roc]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AreaAlongVector/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[alexisdupontroc]]></uploaded_by>
        <create_date>2014-04-21T20:35:02.616011+00:00</create_date>
        <update_date>2018-08-19T17:31:44.673067+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alexisdupontroc/AreaAlongVector/issues]]></tracker>
        <repository><![CDATA[https://github.com/alexisdupontroc/AreaAlongVector]]></repository>
        <tags><![CDATA[network analysis,routing,area,label]]></tags>
        <downloads>63800</downloads>
        <average_vote>3.428510205174908</average_vote>
        <rating_votes>56</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Station Lines" version="0.2.1" plugin_id="526">
        <description><![CDATA[Create lines along polylines with some parameters (length, side, angle). It assumes a cartesian coordinate system]]></description>
        <about><![CDATA[Add an algorithm to create transects at a fixed distance]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/lbartoletti/stationlines]]></homepage>
        <file_name>stationlines.0.2.1.zip</file_name>
        <icon>/media/packages/2025/icon_22WCzJL.png</icon>
        <author_name><![CDATA[Loïc BARTOLETTI, Nicolas GODET]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/stationlines/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[nicogodet]]></uploaded_by>
        <create_date>2014-05-05T20:25:40.182031+00:00</create_date>
        <update_date>2025-02-11T12:26:06.850864+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/lbartoletti/stationlines/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/lbartoletti/stationlines]]></repository>
        <tags><![CDATA[vector]]></tags>
        <downloads>24725</downloads>
        <average_vote>4.499867650951443</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Click-Fu" version="0.8.0" plugin_id="530">
        <description><![CDATA[Send click coordinates to various geoservices]]></description>
        <about><![CDATA[Send click coordinates to various geoservices to open their maps in a browser at needed location. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nextgis.com]]></homepage>
        <file_name>clickfu.0.8.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/clickfu/version/0.8.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2014-05-12T15:43:42.598713+00:00</create_date>
        <update_date>2024-11-20T15:35:26.237243+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_clickfu/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_clickfu]]></repository>
        <tags><![CDATA[click]]></tags>
        <downloads>22086</downloads>
        <average_vote>4.733017798813413</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="postgisQueryBuilder" version="2.0.1" plugin_id="534">
        <description><![CDATA[User friendly postgis query generation. Tutorial on website.]]></description>
        <about><![CDATA[The postgisQueryBuilder QGis plugin is aimed to to provide a friendly environment to perform spatial analysis in postgresql/postgis without having to deal with SQL code. It is not intented to replace the Qgis built-in DBManager that have a wide usage that covers all aspects of Qgis/Postgis interaction. It can be used in educational environments for a live analysis of the structure of the common spatial queries. The plugin can manage postgresql views and can be used for deploying spatial analysis frameworks based on chains of spatial relations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geogear.wordpress.com/postgisquerybuilder-v1-6-cheatsheet/]]></homepage>
        <file_name>postgisQueryBuilder.2.0.1.zip</file_name>
        <icon>/media/packages/2019/querybuilderlogoB_m1WuUXc.png</icon>
        <author_name><![CDATA[Enrico Ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/postgisQueryBuilder/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[enricofer]]></uploaded_by>
        <create_date>2014-05-13T15:28:46.865582+00:00</create_date>
        <update_date>2019-10-18T08:18:28.034769+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enricofer/postgisQueryBuilder/issues]]></tracker>
        <repository><![CDATA[https://github.com/enricofer/postgisQueryBuilder]]></repository>
        <tags><![CDATA[postgis,sql,help,query,view,postgresql,views,spatial join,spatial filter,builder]]></tags>
        <downloads>74711</downloads>
        <average_vote>2.8635929758640017</average_vote>
        <rating_votes>66</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IDECanarias" version="3.1.3" plugin_id="537">
        <description><![CDATA[The plugin allows you to search all locations of Canary Islands.]]></description>
        <about><![CDATA[The plugin allows you to search all locations of Canary Islands, Spain]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.idecanarias.es]]></homepage>
        <file_name>IDECanarias.3.1.3.zip</file_name>
        <icon>/media/packages/2020/icon_j8Y6dyK.png</icon>
        <author_name><![CDATA[Félix José Hernández]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/IDECanarias/version/3.1.3/download/</download_url>
        <uploaded_by><![CDATA[fherdom]]></uploaded_by>
        <create_date>2014-05-15T13:15:04.461284+00:00</create_date>
        <update_date>2020-02-06T14:10:34.142754+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fherdom/IDECanarias3/issues]]></tracker>
        <repository><![CDATA[https://github.com/fherdom/IDECanarias]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>11859</downloads>
        <average_vote>4.076609491577571</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Stream Feature Extractor" version="2.0.0" plugin_id="542">
        <description><![CDATA[A tool to extract features from a stream network.]]></description>
        <about><![CDATA[A QGIS plugin to extract stream features (wells, sinks, confluences etc.) from a stream network.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kartoza/stream_feature_extractor]]></homepage>
        <file_name>StreamFeatureExtractor.2.0.0.zip</file_name>
        <icon>/media/packages/2021/icon_fJdnMQi.png</icon>
        <author_name><![CDATA[Kartoza.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/StreamFeatureExtractor/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[zimbogisgeek]]></uploaded_by>
        <create_date>2014-05-20T22:57:38.235727+00:00</create_date>
        <update_date>2021-11-22T13:03:29.671865+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kartoza/stream_feature_extractor/issues]]></tracker>
        <repository><![CDATA[git://github.com/timlinux/stream-feature-extractor.git]]></repository>
        <tags><![CDATA[catchment,stream,well,confluence,sink,branch]]></tags>
        <downloads>26940</downloads>
        <average_vote>4.72195989111716</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vector Bender" version="0.2.1" plugin_id="545">
        <description><![CDATA[Does to vectors what georefencers does to raster. This feature is also known as &quot;rubber sheeting&quot;.]]></description>
        <about><![CDATA[Does to vectors what georefencers does to raster. This feature is also known as &quot;rubber sheeting&quot;.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/olivierdalang/VectorBender]]></homepage>
        <file_name>VectorBender.0.2.1.zip</file_name>
        <icon>/media/packages/2019/icon_7ydeIZx.png</icon>
        <author_name><![CDATA[Olivier Dalang]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VectorBender/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[redl]]></uploaded_by>
        <create_date>2014-05-23T00:45:30.818225+00:00</create_date>
        <update_date>2019-12-03T12:19:59.975611+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/olivierdalang/VectorBender/issues]]></tracker>
        <repository><![CDATA[git@github.com:olivierdalang/VectorBender.git]]></repository>
        <tags><![CDATA[vector,translate,georeference,deform,adapt,match,affine,transform,distort,rubber sheet]]></tags>
        <downloads>115494</downloads>
        <average_vote>4.330610237014217</average_vote>
        <rating_votes>124</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SG Diagram Downloader" version="3.4" plugin_id="556">
        <description><![CDATA[A tool for QGIS that will download SG (South African Surveyor General) diagrams.]]></description>
        <about><![CDATA[Sponsored by Kirchhoff Surveyors]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kartoza/sg-diagram-downloader/]]></homepage>
        <file_name>SGDiagramDownloader.3.4.zip</file_name>
        <icon>/media/packages/2026/icon_Kw6oww9.png</icon>
        <author_name><![CDATA[Kartoza]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SGDiagramDownloader/version/3.4/download/</download_url>
        <uploaded_by><![CDATA[timlinux]]></uploaded_by>
        <create_date>2014-06-15T15:54:14.291244+00:00</create_date>
        <update_date>2026-02-18T23:17:23.469141+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kartoza/sg-diagram-downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/kartoza/sg-diagram-downloader/]]></repository>
        <tags><![CDATA[diagram,download]]></tags>
        <downloads>18159</downloads>
        <average_vote>4.33304446370242</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="autoSaver" version="2.9" plugin_id="557">
        <description><![CDATA[auto save current project and modified layers in edit mode at specified interval]]></description>
        <about><![CDATA[The plugin provide a basic autosave functionality for project file and  modified layers currently in edit mode. Currents edits can be saved as version files if layerVersion plugin is installed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://geogear.wordpress.com/]]></homepage>
        <file_name>autoSaver.2.9.zip</file_name>
        <icon>/media/packages/2024/icon_lj9UvUh.png</icon>
        <author_name><![CDATA[Enrico Ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/autoSaver/version/2.9/download/</download_url>
        <uploaded_by><![CDATA[enricofer]]></uploaded_by>
        <create_date>2014-06-17T14:19:15.142714+00:00</create_date>
        <update_date>2024-03-04T07:29:35.539262+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enricofer/autoSaver/issues]]></tracker>
        <repository><![CDATA[https://github.com/enricofer/autoSaver]]></repository>
        <tags><![CDATA[project,autosave]]></tags>
        <downloads>291707</downloads>
        <average_vote>4.0096288924605</average_vote>
        <rating_votes>415</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Zoom to Paste" version="3.0.3" plugin_id="565">
        <description><![CDATA[Zoom to a specified point on the map from the Clipboard comma delimited]]></description>
        <about><![CDATA[Zoom to a specified point on the map from the Clipboard comma delimited

If this plugin is useful for you, please consider to make a donation of any value to the Maintainer&lt;/p&gt;
&lt;a href=&quot;https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&amp;hosted_button_id=L6CGBSXGQNCLS&amp;source=url&quot; target=&quot;_blank&quot;&gt;
&lt;img border=&quot;0&quot; alt=&quot;Donate&quot; src=&quot;https://www.paypalobjects.com/de_DE/DE/i/btn/btn_donateCC_LG.gif&quot;&gt;
&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Amphibitus/zoomtopaste/wiki]]></homepage>
        <file_name>zoomtopaste.3.0.3.zip</file_name>
        <icon>/media/packages/2021/icon_1oQSkZd.png</icon>
        <author_name><![CDATA[g3er geoplaning GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/zoomtopaste/version/3.0.3/download/</download_url>
        <uploaded_by><![CDATA[amphibitus]]></uploaded_by>
        <create_date>2014-06-26T16:36:33.971927+00:00</create_date>
        <update_date>2021-05-27T14:53:43.228276+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Amphibitus/zoomtopaste/issues]]></tracker>
        <repository><![CDATA[https://github.com/Amphibitus/zoomtopaste]]></repository>
        <tags><![CDATA[zoom,clipboard,paste]]></tags>
        <downloads>34131</downloads>
        <average_vote>3.26644890340644</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SVG2ColoR" version="1.0" plugin_id="566">
        <description><![CDATA[Generates color-ramp styles from SVG files. It also compatible with CPT-CITY styles. SVG2ColoR improves your color-ramp library, by the way your maps look better.]]></description>
        <about><![CDATA[Generates color-ramp styles from SVG files. It also compatible with CPT-CITY styles. SVG2ColoR improves your color-ramp library, by the way your maps look better.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://cbsuygulama.wordpress.com/svg2color]]></homepage>
        <file_name>SVG2ColoR.1.0.zip</file_name>
        <icon>/media/packages/2018/icon_wGzQem9.png</icon>
        <author_name><![CDATA[Mehmet Selim BILGIN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SVG2ColoR/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[MSBilgin]]></uploaded_by>
        <create_date>2014-06-26T22:49:53.017592+00:00</create_date>
        <update_date>2018-09-30T20:48:08.888889+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MSBilgin/SVG2ColoR/issues]]></tracker>
        <repository><![CDATA[https://github.com/MSBilgin/SVG2ColoR]]></repository>
        <tags><![CDATA[svg,style,color ramps]]></tags>
        <downloads>44588</downloads>
        <average_vote>3.838585852069288</average_vote>
        <rating_votes>31</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[This plugin lets you use clipping function in the same shapefile selecting a line or polygon as a clipping/cutting feature and then clips/splits all overlaying features]]></description>
        <about><![CDATA[Clipper plugin for Qgis 3.x 2021 © Giuseppe De Marco The clipper plugin is a python plugins that performs a missing feature of current (3.x ) Qgis Version: clipping of features inside the same shapefile from a selected feature (line or polygon). Polygon clipping from a selected polygon features clips all intersecting features and returns clipped…]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/demarcog/Clipper]]></homepage>
        <file_name>clipper.1.2.zip</file_name>
        <icon>/media/packages/2021/icon_zoYvxad.png</icon>
        <author_name><![CDATA[Giuseppe De Marco]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/clipper/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[demarcog]]></uploaded_by>
        <create_date>2014-06-29T13:47:30.743063+00:00</create_date>
        <update_date>2021-08-15T15:29:43.879460+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/demarcog/Clipper/issues]]></tracker>
        <repository><![CDATA[https://github.com/demarcog/Clipper.git]]></repository>
        <tags><![CDATA[vector,shapefile,polygon,line,difference,clip]]></tags>
        <downloads>249599</downloads>
        <average_vote>3.8011819205908397</average_vote>
        <rating_votes>166</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Constraint Checker" version="1.2" plugin_id="574">
        <description><![CDATA[Generate reports of constraints (e.g. planning constraints) applicable to an area of interest.]]></description>
        <about><![CDATA[Generate reports of constraints (e.g. planning constraints) applicable to an area of interest.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.lutraconsulting.co.uk/products/constraintchecker/]]></homepage>
        <file_name>ConstraintChecker.1.2.zip</file_name>
        <icon>/media/packages/2015/checker_config_32_K2RvlmJ.png</icon>
        <author_name><![CDATA[Lutra Consulting for Dartmoor National Park Authority]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ConstraintChecker/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[sabb]]></uploaded_by>
        <create_date>2014-07-14T16:05:14.898744+00:00</create_date>
        <update_date>2019-03-21T09:03:04.086714+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lutraconsulting/qgis-constraint-checker-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lutraconsulting/qgis-constraint-checker-plugin]]></repository>
        <tags><![CDATA[constraint reporting,planning constraints,constraints]]></tags>
        <downloads>14722</downloads>
        <average_vote>4.213984715377473</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Creating lines between points following a from-to list.]]></description>
        <about><![CDATA[Creating lines between points following a from-to list. The points can be read from a shape-file or a point-layer in the QGIS document. The list can be in a csv-file or a table in the document.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/peterahlstrom/PointConnector/blob/master/README.md]]></homepage>
        <file_name>PointConnector.2.0.zip</file_name>
        <icon>/media/packages/2019/icon_MzVzCa3.png</icon>
        <author_name><![CDATA[Peter Ahlstrom]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PointConnector/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[petahl]]></uploaded_by>
        <create_date>2014-07-15T12:25:00.845136+00:00</create_date>
        <update_date>2019-03-27T10:57:37.006823+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/peterahlstrom/PointConnector/issues]]></tracker>
        <repository><![CDATA[https://github.com/peterahlstrom/PointConnector/]]></repository>
        <tags><![CDATA[point,line,csv,txt,connect]]></tags>
        <downloads>97741</downloads>
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        <rating_votes>111</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Maps Printer" version="1.0" plugin_id="578">
        <description><![CDATA[Export several print layouts to pdf, svg or image file (jpg, tif, png...) format in one click, from the current project or from projects in a folder.]]></description>
        <about><![CDATA[Exporting a print layout requires to open it, launch the export, wait till it finishes. This procedure can become boring, repulsive and time consuming when you have to export a lot of print layouts. Maps Printer offers a quick way to export print layouts, without opening each one before: just check them in a list and launch their export to the file format you wish (pdf, svg, jpg, tif, png...). Furthermore, you can export print layouts from project files within a directory.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://delazj.github.io/MapsPrinter/]]></homepage>
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        <icon>/media/packages/2025/icon_ZY0eKBw.png</icon>
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        <download_url>https://plugins.qgis.org/plugins/MapsPrinter/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[delazj]]></uploaded_by>
        <create_date>2014-07-30T18:27:38.236127+00:00</create_date>
        <update_date>2025-02-14T06:11:06.248613+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DelazJ/MapsPrinter/issues]]></tracker>
        <repository><![CDATA[https://github.com/DelazJ/MapsPrinter]]></repository>
        <tags><![CDATA[map,composer,export,print,layout]]></tags>
        <downloads>135219</downloads>
        <average_vote>4.324619160790119</average_vote>
        <rating_votes>77</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[Execute customs Overpass queries in QGIS to get OSM data.]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
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        <icon>/media/packages/2026/QuickOSM_Ig42xKJ.svg</icon>
        <author_name><![CDATA[Etienne Trimaille]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickOSM/version/2.5.1/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/QuickOSM/QuickOSM/issues]]></tracker>
        <repository><![CDATA[https://github.com/QuickOSM/QuickOSM/]]></repository>
        <tags><![CDATA[openstreetmap,josm,osm,processing,download,overpass,pbf,remote,osmdownload,modeler]]></tags>
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        <average_vote>4.656032110048712</average_vote>
        <rating_votes>1599</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="norGIS ALKIS-Einbindung" version="2.0.61" plugin_id="580">
        <description><![CDATA[This plugin is dealing with German cadastre data (therefore not localized)]]></description>
        <about><![CDATA[QGIS-Erweiterung zur ALKIS-Einbindung
Funktion:
* Einbinden von durch norGIS ALKIS-Import vorbereitete Datenbanken.
* Einbinden in QGIS
* Export von UMN-Mapfiles (optional, erfordert python-mapscript)
* Signaturierung nach GeoInfoDok
* Eigentümerabfrage (Einzelabfragen)
* Client für norGIS Liegenschaftsbuch]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.norbit.de/75/]]></homepage>
        <file_name>alkisplugin.2.0.61.zip</file_name>
        <icon>/media/packages/2026/logo_910LeuB.svg</icon>
        <author_name><![CDATA[Jürgen E. Fischer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/alkisplugin/version/2.0.61/download/</download_url>
        <uploaded_by><![CDATA[jef]]></uploaded_by>
        <create_date>2014-08-01T12:09:28.233250+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/norBIT/alkisplugin]]></repository>
        <tags><![CDATA[cadastre,nas,germany,alkis,postnas]]></tags>
        <downloads>117461</downloads>
        <average_vote>4.311440070163359</average_vote>
        <rating_votes>122</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Shortcut Manager" version="1.2.0" plugin_id="584">
        <description><![CDATA[A shortcuts toolbar to run external programs]]></description>
        <about><![CDATA[Create a shortcuts toolbar to run external programs and open web pages. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nextgis.com]]></homepage>
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        <icon>/media/packages/2024/icon_KwPIsiX.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shortcut_manager/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_shortcut_manager/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_shortcut_manager/]]></repository>
        <tags><![CDATA[shortcuts]]></tags>
        <downloads>8753</downloads>
        <average_vote>3.8745156855393077</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArcheoCAD" version="3.2.2" plugin_id="585">
        <description><![CDATA[Generates a vectorial layer of Polygons, Rectangles, Circles and Ellipses using vertices.]]></description>
        <about><![CDATA[This plugin is developed on the demand of INRAP archaelogists and topographers and it is in particular adapted for archaeological field survey.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/narimanInrap/ArcheoCAD/blob/master/README.md]]></homepage>
        <file_name>ArcheoCAD.3.2.2.zip</file_name>
        <icon>/media/packages/2021/ArcheoIcon_49mGBKK.png</icon>
        <author_name><![CDATA[Nariman Hatami - INRAP]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ArcheoCAD/version/3.2.2/download/</download_url>
        <uploaded_by><![CDATA[narimaninrap]]></uploaded_by>
        <create_date>2014-08-13T08:34:44.262815+00:00</create_date>
        <update_date>2021-11-26T14:40:59.652228+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/narimanInrap/ArcheoCAD/issues]]></tracker>
        <repository><![CDATA[https://github.com/narimanInrap/ArcheoCAD]]></repository>
        <tags><![CDATA[vector,polygon,polyline,topography,archaeology,circle,ellipse,rectangle]]></tags>
        <downloads>137049</downloads>
        <average_vote>4.14410680984856</average_vote>
        <rating_votes>111</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy AHP" version="1.0.11" plugin_id="586">
        <description><![CDATA[Easy AHP provides Analytic Hierarchy Process (AHP) and Weighted Linear Combination (WLC) analysis in QGIS.]]></description>
        <about><![CDATA[Target audience is decision makers that work on suitability analysis for land use, agriculture, disaster management, environmental resources etc. The user-friendly interface makes analysis easier by dividing operations to different steps.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_Yn5GIDc.png</icon>
        <author_name><![CDATA[Mehmet Selim BILGIN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/EasyAHP/version/1.0.11/download/</download_url>
        <uploaded_by><![CDATA[MSBilgin]]></uploaded_by>
        <create_date>2014-08-17T17:25:57.937867+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MSBilgin/EasyAHP/issues]]></tracker>
        <repository><![CDATA[https://github.com/MSBilgin/EasyAHP]]></repository>
        <tags><![CDATA[raster,analysis,ahp,decision making,mcda,wlc]]></tags>
        <downloads>28405</downloads>
        <average_vote>4.144867465688903</average_vote>
        <rating_votes>69</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dissolve with stats" version="0.6" plugin_id="591">
        <description><![CDATA[Group entities with same value for one field, calculate statistics on the other fields]]></description>
        <about><![CDATA[Choose a layer and a field for this layer. This plugin will merge all entities with the same value for this field, and can calculate statistics for each remaining field : min, max, sum, count, mean, median, standard deviation, first, last, concatenation and uniquification. Uniquification concatenate all values from a field without any duplicate. For example, from a polygon layer of provinces, with a country ID field and a population field, you can create a country layer with the sum of the population of its provinces for each country.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/UMR-PASSAGES/DissolveWithStats/]]></homepage>
        <file_name>DissolveWithStats.0.6.zip</file_name>
        <icon>/media/packages/2019/icon_PzspbvL.png</icon>
        <author_name><![CDATA[Julie Pierson, UMR 5319 Passages, CNRS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DissolveWithStats/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[jpierson]]></uploaded_by>
        <create_date>2014-08-29T07:52:51.486061+00:00</create_date>
        <update_date>2019-04-19T14:03:35.711963+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UMR-PASSAGES/DissolveWithStats/issues]]></tracker>
        <repository><![CDATA[https://github.com/juliepierson/DissolveWithStats]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>65390</downloads>
        <average_vote>3.6622901001285695</average_vote>
        <rating_votes>77</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenQuake Integrated Risk Modelling Toolkit" version="3.23.2" plugin_id="593">
        <description><![CDATA[Tools to drive the OpenQuake Engine, running calculations and visualizing their parameters and outputs]]></description>
        <about><![CDATA[This plugin allows users to drive OpenQuake Engine calculations (https://github.com/gem/oq-engine) of physical hazard and risk, and to load the corresponding outputs as QGIS layers. For those outputs, data visualization tools are provided.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/svir/]]></homepage>
        <file_name>svir.3.23.2.zip</file_name>
        <icon>/media/packages/2026/icon_maMVrn2.svg</icon>
        <author_name><![CDATA[GEM Foundation]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/svir/version/3.23.2/download/</download_url>
        <uploaded_by><![CDATA[gemfoundation]]></uploaded_by>
        <create_date>2014-09-09T14:40:04.919264+00:00</create_date>
        <update_date>2025-08-18T09:43:15.768324+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gem/oq-irmt-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/gem/oq-irmt-qgis]]></repository>
        <tags><![CDATA[risk,earthquake,openquake,gem,resilience,hazard,multi-peril,oq]]></tags>
        <downloads>134864</downloads>
        <average_vote>4.63785107153325</average_vote>
        <rating_votes>58</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NNJoin" version="3.1.3" plugin_id="597">
        <description><![CDATA[Nearest neighbour join.  Join vector layers based on nearest neighbour relationships.]]></description>
        <about><![CDATA[The NNPlugin joins two vector layers (the input and the join layer) based on nearest neighbour relationships.  All geometry type combinations are supported.  A feature from the input layer is joined to the nearest feature in the join layer.  The result of the join is a new vector layer with the same geometry type and coordinate reference system as the input layer.  Joining layers with different Coordinate Reference Systems (CRS) is supported, as long as the join layer coordinate system is a projected CRS.  The join and distance calculations is performed using the join layer CRS.  Self joins are supported. For self joins, each feature in the layer is joined to its nearest neighbour within the layer.  A spatial index (QgsSpatialIndex) on the join layer is used to speed up the join for layers with non-multi-geometry types.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[http://arken.nmbu.no/~havatv/gis/qgisplugins/NNJoin]]></homepage>
        <file_name>NNJoin.3.1.3.zip</file_name>
        <icon>/media/packages/2019/nnjoin_dXTTrHS.png</icon>
        <author_name><![CDATA[Håvard Tveite, NMBU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NNJoin/version/3.1.3/download/</download_url>
        <uploaded_by><![CDATA[havatv]]></uploaded_by>
        <create_date>2014-09-15T16:47:46.200134+00:00</create_date>
        <update_date>2019-09-11T16:06:42.942132+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/havatv/qgisnnjoinplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/havatv/qgisnnjoinplugin.git]]></repository>
        <tags><![CDATA[vector,closest,distance,analysis,join,vector layer,neighbour,nearest,spatial join,neighbor]]></tags>
        <downloads>193816</downloads>
        <average_vote>4.255004999966443</average_vote>
        <rating_votes>149</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Swap Vector Direction" version="0.9" plugin_id="598">
        <description><![CDATA[Swap Vector Direction reverse the direction of a vector
Fr : SwapVectorDirection permet d&#x27;inverser la direction d&#x27;un vecteur]]></description>
        <about><![CDATA[This plugin allows to reverse the direction of a vector in a row or multi-row.
Fr : Ce plugin permet d&#x27;inverser la direction d&#x27;un vecteur dans une couche ligne ou multiligne.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://hub.qgis.org/projects/swapvectordirection]]></homepage>
        <file_name>SwapVectorDirection.0.9.zip</file_name>
        <icon>/media/packages/2018/icon_lIwmIw4.png</icon>
        <author_name><![CDATA[Christophe Maginot]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SwapVectorDirection/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[christophe55]]></uploaded_by>
        <create_date>2014-09-17T20:34:58.913112+00:00</create_date>
        <update_date>2018-09-06T21:41:27.604558+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Christophe55/SwapVectorDirection/issues]]></tracker>
        <repository><![CDATA[https://github.com/Christophe55/SwapVectorDirection]]></repository>
        <tags><![CDATA[vector,geometry,direction,swap,reverse]]></tags>
        <downloads>58056</downloads>
        <average_vote>4.299914001719966</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Azimuth and Distance Calculator" version="2.0.2" plugin_id="606">
        <description><![CDATA[Calculates azimuths and distances for a selected feature. The feature can be either a line or a polygon. The plugin also calculates Meridian Convergence and Kappa Factor for UTM projections to a given geographical coordinate.]]></description>
        <about><![CDATA[Azimuth and Distance Calculator Version generates:
- Memorial descritivo
- Memorial sintético
- Selo da planta
- Planilha de áreas e perímetros]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lcoandrade/AzimuthDistanceCalculator]]></homepage>
        <file_name>AzimuthDistanceCalculator.2.0.2.zip</file_name>
        <icon>/media/packages/2026/north.png</icon>
        <author_name><![CDATA[Luiz Andrade]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AzimuthDistanceCalculator/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[lcoandrade]]></uploaded_by>
        <create_date>2014-09-27T03:46:33.085497+00:00</create_date>
        <update_date>2021-05-25T18:36:26.580664+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lcoandrade/AzimuthDistanceCalculator]]></tracker>
        <repository><![CDATA[https://github.com/lcoandrade/AzimuthDistanceCalculator]]></repository>
        <tags><![CDATA[calculator,distance,memorial,patrimonial,kappa,factor,utm,azimuth,convergence,document,meridian]]></tags>
        <downloads>259282</downloads>
        <average_vote>4.122782907702294</average_vote>
        <rating_votes>171</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Temporal/Spectral Profile Tool" version="2.1.3" plugin_id="609">
        <description><![CDATA[Plots profile from raster bands. Based on Profile Tool.]]></description>
        <about><![CDATA[A QGIS plugin for interactive plotting of temporal or spectral information stored in multi-band rasters. Based on Profile tool plugin.

After installation and activation the plugin can be accessed either from main menu (under Plugins &gt; Profile Tool &gt; Temporal/Spectral Profile) or from an icon on the taskbar.

This plugin was initially developed under the TIGER-NET project (www.tiger-net.org) funded by the European Space Agency (ESA) and currently is part of GlobWetland Africa Toolbox (http://globwetland-africa.org) also funded by ESA. Copyright (C) 2020 DHI-GRAS A/S (http://www.dhi-gras.com).

The plugin contains Python nc-time-axis package. See https://github.com/SciTools/nc-time-axis for license and details.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.3</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DHI-GRAS/Temporal_profile_tool#temporalspectral-profile-tool]]></homepage>
        <file_name>temporalprofiletool.2.1.3.zip</file_name>
        <icon>/media/packages/2023/temporalProfileIcon.png</icon>
        <author_name><![CDATA[Radoslaw Guzinski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/temporalprofiletool/version/2.1.3/download/</download_url>
        <uploaded_by><![CDATA[radosuav]]></uploaded_by>
        <create_date>2014-10-01T13:23:48.319212+00:00</create_date>
        <update_date>2023-09-12T13:35:54.098856+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DHI-GRAS/Temporal_profile_tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/DHI-GRAS/Temporal_profile_tool]]></repository>
        <tags><![CDATA[raster,profile,spectral,timeseries]]></tags>
        <downloads>102506</downloads>
        <average_vote>3.874946181303037</average_vote>
        <rating_votes>72</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="pickLayer" version="3.10.1" plugin_id="619">
        <description><![CDATA[pick to feature on map canvas to perform layer and feature commands]]></description>
        <about><![CDATA[The plugin allows to perform layer and features operations by a contextual menu clicking over features on map canvas. This is useful when many layers are loaded in the project and is difficult to find them in a crowded legend.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nlsfi/pickLayer]]></homepage>
        <file_name>pickLayer.3.10.1.zip</file_name>
        <icon>/media/packages/2026/pick_layer.svg</icon>
        <author_name><![CDATA[National Land Survey of Finland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pickLayer/version/3.10.1/download/</download_url>
        <uploaded_by><![CDATA[nlsfi]]></uploaded_by>
        <create_date>2014-10-09T14:47:40.580003+00:00</create_date>
        <update_date>2026-03-25T11:44:14.518830+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nlsfi/pickLayer/issues]]></tracker>
        <repository><![CDATA[https://github.com/nlsfi/pickLayer]]></repository>
        <tags><![CDATA[editing,menu,layer,datasource,properties,snap,functions,hide,change,data source,context menu,context,active layer]]></tags>
        <downloads>42710</downloads>
        <average_vote>4.649883752906177</average_vote>
        <rating_votes>40</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multiple Layer Selection" version="2.0.1" plugin_id="620">
        <description><![CDATA[Allow the selection/deselection of features of multiple layers]]></description>
        <about><![CDATA[Allow the selection/deselection of features of multiple layers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/felferrari/MultipleLayerSelection]]></homepage>
        <file_name>MultipleLayerSelection.2.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_W4U1GFR.png</icon>
        <author_name><![CDATA[Felipe Ferrari and Luiz Andrade]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MultipleLayerSelection/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[ferrari]]></uploaded_by>
        <create_date>2014-10-11T03:39:47.568770+00:00</create_date>
        <update_date>2024-03-22T11:36:00.232409+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/felferrari/MultipleLayerSelection/issues]]></tracker>
        <repository><![CDATA[https://github.com/felferrari/MultipleLayerSelection]]></repository>
        <tags><![CDATA[selection,feature,layer,point,select,click,multiple,rectangle,deselect,different,mouse]]></tags>
        <downloads>56415</downloads>
        <average_vote>4.034413199772418</average_vote>
        <rating_votes>58</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WCPS datacube query" version="4.2.0" plugin_id="621">
        <description><![CDATA[Query datacubes with WCPS and display results.]]></description>
        <about><![CDATA[This plugin allows sending datacube queries as per OGC Web Coverage Processing Service (WCPS) to a server and displaying the results. WCPS allows zero-coding spatial and temporal analytics; see &lt;a href=&quot;https://earthserver.eu&quot;&gt;this tutorial&lt;/a&gt;,  &lt;a href=&quot;https://www.ogc.org/standard/wcps/&quot;&gt;the standard&lt;/a&gt;, and the &lt;a href=&quot;https://myogc.org/go/coveragesDWG&quot;&gt;OGC datacubes info page&lt;/a&gt;.&lt;br&gt;&lt;br&gt;A user guide for the plugin itself can be found &lt;a href=&quot;https://doc.rasdaman.org/11_cheatsheets.html#wcps-qgis-plugin&quot;&gt;here&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://doc.rasdaman.org/11_cheatsheets.html#wcps-plugin]]></homepage>
        <file_name>QgsWcpsClient1.4.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_NmEIYE2.png</icon>
        <author_name><![CDATA[Bang Pham Huu, Dimitar Misev, Nikita Ivlev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QgsWcpsClient1/version/4.2.0/download/</download_url>
        <uploaded_by><![CDATA[dmisev]]></uploaded_by>
        <create_date>2014-10-13T11:53:59.991091+00:00</create_date>
        <update_date>2025-05-09T07:10:59.201946+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rasdaman/QgisWcpsPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/rasdaman/QgisWcpsPlugin]]></repository>
        <tags><![CDATA[client,wcs,ogc,wcps,analytics,datacube,coverage,rasdaman,web coverage processing service]]></tags>
        <downloads>11316</downloads>
        <average_vote>4.3842781324513505</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VectorMCDA" version="3.0.1" plugin_id="624">
        <description><![CDATA[Performs geographic multi-criteria decision making. Plugin is now deprecated, the MCDA functions are all implemented and extended in SSAM plugin]]></description>
        <about><![CDATA[VectorMCDA is a QGIS plugin that uses different MCDA algorithms to perform a multicriteria analysis in a geographic environmental]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://maplab.alwaysdata.net/geomcda.html]]></homepage>
        <file_name>VectorMCDA.3.0.1.zip</file_name>
        <icon>/media/packages/2020/Tree.png</icon>
        <author_name><![CDATA[author=Gianluca Massei]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VectorMCDA/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[gianluca]]></uploaded_by>
        <create_date>2014-10-13T21:18:31.737682+00:00</create_date>
        <update_date>2020-04-21T19:55:35.652262+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/gmassei/VectorMCDA/issues/]]></tracker>
        <repository><![CDATA[https://github.com/gmassei/VectorMCDA]]></repository>
        <tags><![CDATA[shapefile,geometry,geographic mcda,layers,sustainability assessment]]></tags>
        <downloads>35323</downloads>
        <average_vote>4.593606449798444</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ProfileFromPoints" version="3.2" plugin_id="625">
        <description><![CDATA[Plots profile or cross section of survey points]]></description>
        <about><![CDATA[This plugin is designed to station point data (e.g. topography data) and plot it along a centerline. Point data will be plotted using an existing or plugin generated centerline by the shapely library.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jorgealmerio/ProfileFromPoints/blob/master/README.md]]></homepage>
        <file_name>ProfileFromPoints.3.2.zip</file_name>
        <icon>/media/packages/2023/icon_Ygia26q.png</icon>
        <author_name><![CDATA[Jorge Almerio (maintainer)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ProfileFromPoints/version/3.2/download/</download_url>
        <uploaded_by><![CDATA[jorgealmerio]]></uploaded_by>
        <create_date>2014-10-27T18:28:12.549831+00:00</create_date>
        <update_date>2023-10-02T12:23:31.783499+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jorgealmerio/ProfileFromPoints/issues]]></tracker>
        <repository><![CDATA[https://github.com/jorgealmerio/ProfileFromPoints]]></repository>
        <tags><![CDATA[profile,point,topography,survey,cross section]]></tags>
        <downloads>41497</downloads>
        <average_vote>2.7441222297155883</average_vote>
        <rating_votes>43</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TomBio tools" version="3.4.4" plugin_id="628">
        <description><![CDATA[FSC QGIS Plugin for biological recorders.]]></description>
        <about><![CDATA[This is a plugin for QGIS desktop GIS which is aimed primarily at biological recorders. It streamlines many of the tasks commonly required from GIS by biological recorders including viewing NBN maps (via the NBN WMS), displaying biological records from CSV files, working with UK OS grid references and registering raster map images from the internet. Although originally designed for use in the the UK, enhancements have been made to improved utility in any geographical context.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.fscbiodiversity.uk/qgisplugin]]></homepage>
        <file_name>TomBio.3.4.4.zip</file_name>
        <icon>/media/packages/2024/icon_uCAJKSS.png</icon>
        <author_name><![CDATA[Rich Burkmar and other contributors]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TomBio/version/3.4.4/download/</download_url>
        <uploaded_by><![CDATA[burkmarr]]></uploaded_by>
        <create_date>2014-11-02T09:31:56.833460+00:00</create_date>
        <update_date>2024-08-01T22:04:00.699787+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FieldStudiesCouncil/QGIS-Biological-Recording-Tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/burkmarr/QGIS-Biological-Recording-Tools]]></repository>
        <tags><![CDATA[ordnance survey,osgb,uk species inventory,biological records,nbn]]></tags>
        <downloads>101510</downloads>
        <average_vote>4.622554291428464</average_vote>
        <rating_votes>53</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Networks" version="2.9.4" plugin_id="629">
        <description><![CDATA[Designed as a processing algorithm provider. Manage linear networks and compute multimodal routing and accessibility. Several functionalities as generating a graph from a linear layer, invert and split polylines, and connect point to a linear objects, and perform a linear-based deterministic interpolation for accessibility maps and build isochrones polygons.Computes multimodal routing and accessibility. Include a dataset for testing,a Musliw documentation and an algorithm for detecting non connected nodes]]></description>
        <about><![CDATA[Networks algorithm provider. Manage linear networks. Several functionalities as generating a graph from a linear layer, reverting and splitting polylines, connecting points to a linear objects, performing a linear-based deterministic interpolation for accessibility maps and generating isochrons polygons. The purpose of the plguin is also to deal with the multimodal calculator tool Musliw (manage input ou output files). Compute multimodal routing and accessibility with extern Musliw tool provided, which can be called by the Musliw computation algorithm in QGis]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/crocovert/networks/]]></homepage>
        <file_name>networks.2.9.4.zip</file_name>
        <icon>/media/packages/2022/cerema_Bm9Jqnl.png</icon>
        <author_name><![CDATA[Patrick Palmier]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/networks/version/2.9.4/download/</download_url>
        <uploaded_by><![CDATA[crocovert]]></uploaded_by>
        <create_date>2014-11-04T11:04:16.271220+00:00</create_date>
        <update_date>2026-03-20T15:16:51.688933+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/crocovert/networks/issues]]></tracker>
        <repository><![CDATA[https://github.com/crocovert/networks/]]></repository>
        <tags><![CDATA[python,routing,network,interpolation,transport,accessibility,multimodal,gtfs,isovalue]]></tags>
        <downloads>278355</downloads>
        <average_vote>4.18379276622966</average_vote>
        <rating_votes>136</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="refFunctions" version="1.6" plugin_id="636">
        <description><![CDATA[new analytycal and spatial referencing functions for Field Calculator

The plugin is outdated as of QGIS 3.14 due to the introduction of the new functions for geometry overlay expressions]]></description>
        <about><![CDATA[Plugin that add custom user functions to Qgis Field calculator for referencing, analitically or spatially, between layers, For example retrieving a value from a layer using as a  field value or a spatial condition (intersects, disjoint ....) as parameter
v1.2 Code cleanup and dbvaluebyid() is unable to return $geometry issue fixed (courtesy of @SzieberthAdam https://github.com/SzieberthAdam)
v1.3 New intersecting_geom_count and intersecting_geom_sum functions and migration code to QGIS3 (courtesy of @patricev https://github.com/patricev)
v1.4 intersecting_geom_count/sum issue fixed (courtesy of @nantodevison https://github.com/enricofer/refFunctions/issues/11)
v1.5 dbquery dbvalue dbnearest issues fixed
v1.6 added equaling_geom_count function (courtesy of https://github.com/jaitor1), added functions within, overlapping to geom_count and geom_sum(https://github.com/patricev), api break to 3.4]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.3.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://geogear.wordpress.com/2014/11/13/reffunctions-v1-0/]]></homepage>
        <file_name>refFunctions.1.6.zip</file_name>
        <icon>/media/packages/2014/icon_384.png</icon>
        <author_name><![CDATA[enrico ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/refFunctions/version/1.6/download/</download_url>
        <uploaded_by><![CDATA[enricofer]]></uploaded_by>
        <create_date>2014-11-14T09:18:30.176054+00:00</create_date>
        <update_date>2019-03-18T11:53:31.322205+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/enricofer/refFunctions/issues]]></tracker>
        <repository><![CDATA[https://github.com/enricofer/refFunctions]]></repository>
        <tags><![CDATA[database,table,spatial,attributes,function,expressions,field calculator,reference]]></tags>
        <downloads>93501</downloads>
        <average_vote>4.414526474964026</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Processing Workflows" version="2.0.2" plugin_id="638">
        <description><![CDATA[A plugin that adds workflow functionality to Processing.]]></description>
        <about><![CDATA[Plugin for QGIS Processing Toolbox for creating processing workflows and workflow collections. Workflows provide step-by-step instructions and guidance for less experienced users thus facilitating capacity building in Earth observation data analysis and GIS tasks.

This plugin is part of the Water Observation Information System (WOIS) developed under the TIGER-NET project and GlobWetland Toolbox developed under the GlobWetland Agrica project. Both projects were funded by the European Space Agency as part of a long-term initiative aiming at promoting the use of Earth Observation (EO) for improved Integrated Water Resources Management (IWRM) and environmental monitoring and reporting in Africa. Copyright (C) 2014-2018 DHI GRAS (www.dhi-gras.com)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DHI-GRAS/qgis-processing-workflow/blob/master/README.md]]></homepage>
        <file_name>processing_workflow.2.0.2.zip</file_name>
        <icon>/media/packages/2022/icon_7jLNZMJ.png</icon>
        <author_name><![CDATA[Radoslaw Guzinski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_workflow/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[radosuav]]></uploaded_by>
        <create_date>2014-11-18T11:41:44.217602+00:00</create_date>
        <update_date>2022-05-07T11:22:36.138218+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DHI-GRAS/processing_workflow/issues]]></tracker>
        <repository><![CDATA[https://github.com/DHI-GRAS/processing_workflow]]></repository>
        <tags><![CDATA[processing,workflow,instructions]]></tags>
        <downloads>40720</downloads>
        <average_vote>3.9998095328793863</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MBTiles images extract" version="0.4" plugin_id="656">
        <description><![CDATA[With this QGIS plugin you can take an MBTiles file and extract all the tiles as images to a local folder. This plugin can be very useful for debugging processes.]]></description>
        <about><![CDATA[With this QGIS plugin you can take an MBTiles file and extract all the tiles as images to a local folder.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cayetanobv/QGIS-Plugin-MBTiles2img]]></homepage>
        <file_name>MBTiles2img.0.4.zip</file_name>
        <icon>/media/packages/2018/icon_wuswzTE.png</icon>
        <author_name><![CDATA[Cayetano Benavent]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MBTiles2img/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[cayetanobv]]></uploaded_by>
        <create_date>2014-12-26T01:42:47.718002+00:00</create_date>
        <update_date>2018-10-27T15:32:12.228297+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cayetanobv/QGIS-Plugin-MBTiles2img/issues]]></tracker>
        <repository><![CDATA[https://github.com/cayetanobv/QGIS-Plugin-MBTiles2img]]></repository>
        <tags><![CDATA[tiles,images,extract,png,jpg,mbtiles,pbf]]></tags>
        <downloads>41840</downloads>
        <average_vote>3.5874551568105395</average_vote>
        <rating_votes>80</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Clip to Hemisphere" version="0.4" plugin_id="657">
        <description><![CDATA[Clip vector layers to the hemisphere of the earth centered on a user
specified point in order to use them in an orthographic projection without
introducing artefacts.]]></description>
        <about><![CDATA[When projecting data to the orthographic projection, features that cross
the horizon can lead to unsightly artifacts. By clipping the data to the
hemisphere that will be visible in the orthographic projection, these
artifacts can be avoided. This plugin for the QGIS Processing framework
takes a vector layer and a latitude and longitude for the center of the
hemisphere and clips the vector layer accordingly. The plugin takes care of
special cases such as a hemisphere centered on the equator or on one of the
poles.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jdugge/ClipToHemisphere]]></homepage>
        <file_name>ClipToHemisphere.0.4.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Juernjakob Dugge]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ClipToHemisphere/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[tentotwo]]></uploaded_by>
        <create_date>2015-01-04T13:02:12.139661+00:00</create_date>
        <update_date>2020-09-29T21:00:33.090638+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jdugge/ClipToHemisphere/issues]]></tracker>
        <repository><![CDATA[https://github.com/jdugge/ClipToHemisphere]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>15376</downloads>
        <average_vote>4.363438025544293</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Redistricting for QGIS" version="0.4.4" plugin_id="658">
        <description><![CDATA[Electorate Redistricting and Equalisation]]></description>
        <about><![CDATA[Redistricting and electoral equalisation tool. Features simultaneous equalisation of state and parliamentary electorates, metrics and a recommendation engine.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/seanclaude/Redistricting]]></homepage>
        <file_name>Redistricting.0.4.4.zip</file_name>
        <icon>/media/packages/2023/icon_9PmLbDa.png</icon>
        <author_name><![CDATA[Sean Lin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Redistricting/version/0.4.4/download/</download_url>
        <uploaded_by><![CDATA[seanclaude]]></uploaded_by>
        <create_date>2015-01-05T01:07:46.352993+00:00</create_date>
        <update_date>2023-07-13T08:05:00.916205+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/seanclaude/Redistricting/issues]]></tracker>
        <repository><![CDATA[https://github.com/seanclaude/Redistricting]]></repository>
        <tags><![CDATA[vector,delimitation,districting,redistricting,democracy]]></tags>
        <downloads>10957</downloads>
        <average_vote>3.868319254756454</average_vote>
        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Concave Hull" version="2.0" plugin_id="661">
        <description><![CDATA[Computes a concave hull containing a set of features]]></description>
        <about><![CDATA[Computes a minimum area containing a set of features. The concave hull is supposed to best describe that area occupied by the given set of points. The resulting polygon geometries are stored in an existing polygon layer or new memory layer. Prior computation of the hull the given data can optionally be divided into clusters.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/detlevn/QGIS-ConcaveHull-Plugin]]></homepage>
        <file_name>concavehull.2.0.zip</file_name>
        <icon>/media/packages/2019/icon_r5q0eQb.png</icon>
        <author_name><![CDATA[Detlev Neumann, Geospatial Services]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/concavehull/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[detlevn]]></uploaded_by>
        <create_date>2015-01-07T17:20:45.218428+00:00</create_date>
        <update_date>2019-01-05T15:36:01.972157+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/detlevn/QGIS-ConcaveHull-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/detlevn/QGIS-ConcaveHull-Plugin]]></repository>
        <tags><![CDATA[vector,python,analysis,concave hull,region,create]]></tags>
        <downloads>44010</downloads>
        <average_vote>4.3635570262358865</average_vote>
        <rating_votes>55</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NextGIS QuickMapServices" version="1.3.0" plugin_id="663">
        <description><![CDATA[Quickly find and add basemaps and geodata services to your project in one click using the open QMS catalog]]></description>
        <about><![CDATA[NextGIS QuickMapServices (QMS) allows users to quickly search, discover and add basemaps and geospatial web services to QGIS projects

The plugin connects to the open QuickMapServices catalog, which contains hundreds of publicly available geodata services contributed by the community. QMS makes it easy to add popular basemaps and reference layers, such as OpenStreetMap, satellite imagery, and thematic maps, directly into QGIS, helping users quickly provide geographic context for their own data.

Discover the catalog and contribute: https://qms.nextgis.com

Developed by NextGIS.
Contact us: https://nextgis.com/contact
Join the community forum: https://community.nextgis.com]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nextgis.com/blog/quickmapservices/]]></homepage>
        <file_name>quick_map_services.1.3.0.zip</file_name>
        <icon>/media/packages/2026/qms_logo_zDykVuT.svg</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick_map_services/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2015-01-11T22:12:42.513790+00:00</create_date>
        <update_date>2026-04-10T07:08:12.346206+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/quickmapservices/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/quickmapservices]]></repository>
        <tags><![CDATA[wfs,wms,openstreetmap,osm,service,tms,geojson,internet,qms,basemap]]></tags>
        <downloads>10979038</downloads>
        <average_vote>4.7380817405490445</average_vote>
        <rating_votes>5643</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Survey design plugin" version="0.6" plugin_id="675">
        <description><![CDATA[A plugin to design biomass surveys along coast lines. The survey design dialog can be opened under Survey -&gt; Survey design. Developed for NIWA, New Zealand]]></description>
        <about><![CDATA[A plugin to design biomass surveys along coast lines. The survey design dialog can be opened under Survey -&gt; Survey design. Developed for NIWA, New Zealand]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sourcepole/survey_design_qgis3]]></homepage>
        <file_name>survey_design.0.6.zip</file_name>
        <icon>/media/packages/2016/mActionNewVectorLayer.png</icon>
        <author_name><![CDATA[National Institute of Water and Atmospheric Research (NIWA)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/survey_design/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[mhugent]]></uploaded_by>
        <create_date>2015-02-05T12:01:33.277177+00:00</create_date>
        <update_date>2020-09-07T14:23:47.336676+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sourcepole/survey_design_qgis3/issues]]></tracker>
        <repository><![CDATA[https://github.com/sourcepole/survey_design]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>11151</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SCP-Plugin" version="2.0" plugin_id="677">
        <description><![CDATA[Plugin for Structured Conservation Planning of Marine Protected Areas]]></description>
        <about><![CDATA[Plugin for Structured Conservation Planning of Marine Protected Areas]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sourcepole/qgis-scp-plugin]]></homepage>
        <file_name>scpplugin.2.0.zip</file_name>
        <icon>/media/packages/2018/icon_nEFebME.png</icon>
        <author_name><![CDATA[Sandro Mani, Sourcepole AG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/scpplugin/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[smani]]></uploaded_by>
        <create_date>2015-02-10T11:13:58.049314+00:00</create_date>
        <update_date>2018-07-02T08:46:51.500115+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sourcepole/qgis-scp-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/sourcepole/qgis-scp-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>259798</downloads>
        <average_vote>4.337284375855651</average_vote>
        <rating_votes>252</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multi-distance buffer" version="3.2.4" plugin_id="678">
        <description><![CDATA[Create multiple distance buffers]]></description>
        <about><![CDATA[The Multi-Distance Buffer plugin creates a multi-distance buffer vector layer from an input vector layer and a set of distances.  The result layer consists of bands (donut type) of regions according to the buffer distances provided. If 100 and 200 are provided as distances, the result layer will consist of two bands - one will contain all areas that are within 100 units from the geometries of the input vector layer, the other will contain all areas that are from 100 to 200 units from the geometries of the input vector layer.  The user can choose to only buffer around selected features.  Negative buffer distances are allowed for polygon layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://arken.nmbu.no/~havatv/gis/qgisplugins/MultiDistanceBuffer/]]></homepage>
        <file_name>MultiDistanceBuffer.3.2.4.zip</file_name>
        <icon>/media/packages/2018/multidistbuff_VtIFJiI.png</icon>
        <author_name><![CDATA[Håvard Tveite, NMBU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MultiDistanceBuffer/version/3.2.4/download/</download_url>
        <uploaded_by><![CDATA[havatv]]></uploaded_by>
        <create_date>2015-02-10T18:02:14.853187+00:00</create_date>
        <update_date>2018-08-22T10:02:48.432114+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/havatv/qgismultidistancebufferplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/havatv/qgismultidistancebufferplugin.git]]></repository>
        <tags><![CDATA[vector,distance,buffer,multiple,multi,ring,zone,proximity]]></tags>
        <downloads>139204</downloads>
        <average_vote>4.166603536310055</average_vote>
        <rating_votes>66</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Feature Grid Creator" version="3.0.0" plugin_id="680">
        <description><![CDATA[This plugin creates a grid of features, following a line or filling a polygon.]]></description>
        <about><![CDATA[This plugin creates a grid of features, usable to fill a plot with a grid of boreholes for example. It can fill polygon(s) or follow line(s) with points (boreholes) or rectangles (trenches) in either a square or diamond order. You can also create code/numbers for the holes by hovering over them.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://rduivenvoorde.github.io/featuregridcreator/FeatureGridCreator/help/html/en/]]></homepage>
        <file_name>FeatureGridCreator.3.0.0.zip</file_name>
        <icon>/media/packages/2019/icon_2iHblMC.png</icon>
        <author_name><![CDATA[Richard Duivenvoorde (Zuidt)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FeatureGridCreator/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[rduivenvoorde]]></uploaded_by>
        <create_date>2015-02-12T15:48:42.402365+00:00</create_date>
        <update_date>2019-05-09T13:28:21.789549+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rduivenvoorde/featuregridcreator/issues]]></tracker>
        <repository><![CDATA[https://github.com/rduivenvoorde/featuregridcreator]]></repository>
        <tags><![CDATA[features,labeling,grid,boreholes]]></tags>
        <downloads>65857</downloads>
        <average_vote>4.260684318073127</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OS Translator II" version="3.2.6" plugin_id="683">
        <description><![CDATA[A plugin for loading Ordnance Survey Products.]]></description>
        <about><![CDATA[OS Translator II makes loading GML-based datasets into PostGIS easy. It also performs a number of post-processing tasks on the data such as adding additional fields for styling and downloading 3rd-party stylesheets.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.lutraconsulting.co.uk/products/ostranslator-ii/]]></homepage>
        <file_name>OSTranslatorII.3.2.6.zip</file_name>
        <icon>/media/packages/2023/osTrans_128px_ZcttGTc.png</icon>
        <author_name><![CDATA[Lutra Consulting]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OSTranslatorII/version/3.2.6/download/</download_url>
        <uploaded_by><![CDATA[sabb]]></uploaded_by>
        <create_date>2015-02-16T19:01:57.517822+00:00</create_date>
        <update_date>2023-12-06T08:16:20.354591+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lutraconsulting/ostranslator-ii/issues]]></tracker>
        <repository><![CDATA[https://github.com/lutraconsulting/ostranslator-ii]]></repository>
        <tags><![CDATA[postgis,load,import,convert,gml,topography layer,mastermap,gz,ordnance survey,translate,os,gml gz,master map,gml.gz,postgresql,itn,sites layer,address layer 2,loader,integrated transport network,pg,addresslayer2,address layer,schema 9,schema 7]]></tags>
        <downloads>46183</downloads>
        <average_vote>3.9410605570424404</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PostGIS geoprocessing tools" version="0.9" plugin_id="692">
        <description><![CDATA[A set of tools to do geoprocessing with PostGIS layers. The spatial SQL queries are run in the server where the layers come from, and the result will be a PostGIS layer (created directly in the server where the inputs come from) and not a shapefile as usually in the Processing toolbox. The plugin is experimental and in the future it will benefit from a number of improvements that will be made in the QGIS Processing toolbox.]]></description>
        <about><![CDATA[Developed by Alexander Bruy and Manghi for NaturalGIS (http://www.naturalgis.pt/)]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.naturalgis.pt/]]></homepage>
        <file_name>postgis_geoprocessing.0.9.zip</file_name>
        <icon>/media/packages/2019/naturalgis_32_8cWiGDh.png</icon>
        <author_name><![CDATA[NaturalGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/postgis_geoprocessing/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[lutra]]></uploaded_by>
        <create_date>2015-02-18T09:55:34.597220+00:00</create_date>
        <update_date>2019-08-30T07:26:52.819719+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NaturalGIS/postgis_geoprocessing/issues]]></tracker>
        <repository><![CDATA[https://github.com/NaturalGIS/postgis_geoprocessing]]></repository>
        <tags><![CDATA[vector,postgis,geoprocessing]]></tags>
        <downloads>152467</downloads>
        <average_vote>4.287612498458925</average_vote>
        <rating_votes>73</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Instant Print" version="3.0.1" plugin_id="697">
        <description><![CDATA[Instantly print map excerpts]]></description>
        <about><![CDATA[The instant print plugin allows to quickly print map excerpts to a file, utilizing an existing composer as page layout.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sourcepole/qgis-instantprint-plugin]]></homepage>
        <file_name>instantprint.3.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_wlZAogr.png</icon>
        <author_name><![CDATA[Sandro Mani, Sourcepole AG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/instantprint/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[smani]]></uploaded_by>
        <create_date>2015-02-26T14:16:22.800489+00:00</create_date>
        <update_date>2025-01-24T10:26:21.242365+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sourcepole/qgis-instantprint-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/sourcepole/qgis-instantprint-plugin]]></repository>
        <tags><![CDATA[composer,print]]></tags>
        <downloads>32933</downloads>
        <average_vote>4.473448765854428</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NTv2 Datum Transformations" version="0.20" plugin_id="707">
        <description><![CDATA[NTv2 Datum Transformations for the QGIS Processing toolbox. This plugin is directly derived from https://github.com/qgispt/processing_pttransform originally developed by Alexander Bruy, Pedro Venâncio and NaturalGIS (http://www.naturalgis.pt/), with the support of the Portuguese QGIS user group (http://www.qgis.pt/).]]></description>
        <about><![CDATA[Developed by Alexander Bruy and Manghi for NaturalGIS (http://www.naturalgis.pt/)]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.naturalgis.pt/]]></homepage>
        <file_name>ntv2_transformations.0.20.zip</file_name>
        <icon>/media/packages/2019/naturalgis_32.png</icon>
        <author_name><![CDATA[NaturalGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ntv2_transformations/version/0.20/download/</download_url>
        <uploaded_by><![CDATA[lutra]]></uploaded_by>
        <create_date>2015-03-06T14:59:21.617099+00:00</create_date>
        <update_date>2019-08-29T16:28:03.270153+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NaturalGIS/ntv2_transfomations/issues]]></tracker>
        <repository><![CDATA[https://github.com/NaturalGIS/ntv2_transfomations]]></repository>
        <tags><![CDATA[grids,ntv2,processing,datum,transformations]]></tags>
        <downloads>59966</downloads>
        <average_vote>4.278426855356261</average_vote>
        <rating_votes>79</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="xyToPoint" version="2.0" plugin_id="709">
        <description><![CDATA[this plugin creates a point layer based on tabular coordinates]]></description>
        <about><![CDATA[this plugin creates a point layer based on tabular coordinates]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/klausib/xyToPoint]]></homepage>
        <file_name>xyToPoint.2.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[nikolaus batlogg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xyToPoint/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[niba]]></uploaded_by>
        <create_date>2015-03-11T15:34:09.985382+00:00</create_date>
        <update_date>2019-02-20T09:56:13.116622+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[http://github.com/klausib/xyToPoint/issues]]></tracker>
        <repository><![CDATA[http://github.com/klausib/xyToPoint/]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>100125</downloads>
        <average_vote>4.199906668740695</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Indicatrix mapper" version="3.1.0" plugin_id="713">
        <description><![CDATA[The plugin generates Quasi-Tissot Indicatrices as dynamic ellipses to visualize map projection distortions. Using numerical derivatives (Quasi Indicatrix method), it calculates precise scale factors and rotation angles for any project CRS. These point-based indicatrices provide an analytically exact representation of local distortion, updating in real-time as the project projection changes.]]></description>
        <about><![CDATA[The extent and resolution of the indicatrices and the graticule are fully customizable. The radius parameter controls the visual scale of the indicatrices, which can be defined in kilometers or degrees. This method provides high precision even for complex projections where symbolic derivatives are unavailable. Analytical distortion parameters (h, k, s, ω) and the principal axes (a, b) with their orientation (angle) are derived using the Quasi Indicatrix method (Bildirici, 2015). QGIS contains approximately 2700 categorized projections; you can test the distortion effects on your region or the entire globe instantly.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ervinwirth/indicatrix-mapper]]></homepage>
        <file_name>tiss.3.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_Lp0SVWA.png</icon>
        <author_name><![CDATA[Ervin Wirth]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tiss/version/3.1.0/download/</download_url>
        <uploaded_by><![CDATA[ewirth]]></uploaded_by>
        <create_date>2015-03-18T21:28:26.778622+00:00</create_date>
        <update_date>2026-02-23T15:44:23.170069+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ervinwirth/indicatrix-mapper/issues]]></tracker>
        <repository><![CDATA[https://github.com/ervinwirth/indicatrix-mapper]]></repository>
        <tags><![CDATA[indicatrix,tissot,distortions,geodesy,map-projections,quasi-indicatrix]]></tags>
        <downloads>33336</downloads>
        <average_vote>4.313640909001784</average_vote>
        <rating_votes>51</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DSG Tools" version="4.20.1" plugin_id="715">
        <description><![CDATA[Brazilian Army Cartographic Production Tools]]></description>
        <about><![CDATA[DSGTools with the following features:
-Creation, Storage and Deletion of PostGIS servers configurations
-Database creation using Spatialite and PostGIS according to EDGV version 2.1.3 and 3.0 (cadaster)
-Layer loading by category and class as defined by EDGV version 2.1.3 and EDGV version 3.0 (cadaster)
-Manipulation of complex features (Creation, Editing, Deletion, Zoom, Association, Disassociation) and
-Access to some WM(T)S services provided by BDGEx.
-Inventory Tool for all geospatial data supported by GDAL/OGR.
-Tool to install Models and Script (geoalgorithms) in the Processing Toolbox (HSV fusion script available).
-Database role management. Access profile (i.e. Read/Write permissions by table in database ).
-Database user profile management (e.g. Grant/Revoke predifined roles to/from user ).
-Create/Remove PostgreSQL users.
-Alter PostgreSQL user Password.
-Conversion tools between postgis and spatialite EDGV databases.
-Tool to assign elevation values to contour lines in a simple way.
-EDGV code list viewer to aid attributes queries using our EDGV databases.
-Drop EDGV databases
-Remove missing databases from qsettings
-Tool to reclassify features (move them to another layer) with predefined attributes
Requirements for LINUX (Ubuntu/Debian):

Install the following packages as follows:
sudo apt-get install libqt5sql5-psql
sudo apt-get install libqt5sql5-sqlite]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dsgoficial/DsgTools/wiki]]></homepage>
        <file_name>DsgTools.4.20.1.zip</file_name>
        <icon>/media/packages/2026/DSGToolsIcon_E8Bj5R5.png</icon>
        <author_name><![CDATA[Brazilian Army Geographic Service]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DsgTools/version/4.20.1/download/</download_url>
        <uploaded_by><![CDATA[dsgtools]]></uploaded_by>
        <create_date>2015-03-25T05:37:06.168730+00:00</create_date>
        <update_date>2026-01-19T18:57:03.925460+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dsgoficial/DsgTools/issues]]></tracker>
        <repository><![CDATA[https://github.com/dsgoficial/DsgTools]]></repository>
        <tags><![CDATA[postgis,spatialite,database,spatial,image,model,edgv,serviço,infrastructure,army,geográfico,bdgex,inde,exército,brazilian,dsg,brasileiro,sdi,diretoria,fusion,hsv,script]]></tags>
        <downloads>177770</downloads>
        <average_vote>4.64282950696722</average_vote>
        <rating_votes>168</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Catalog on the fly" version="2.9.1" plugin_id="722">
        <description><![CDATA[Automatically adds images that are in the catalog layer that intersect with the map area.]]></description>
        <about><![CDATA[This plugin work with catalog layer.
Catalog layer need be have the geometry type of polygon and have a field, the image address(type string),
and optionaly can be have a field with the date of image.
The field, image address, can be a local files or WEB address. The WEB address need be a XML of
type GDAL_WMS(https://gdal.org/drivers/raster/wms.html)

This plugin is developed on the demand of IBAMA(Brazilian Institute of Environment and Renewable Natural Resources)
http://www.ibama.gov.br]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/catalog-on-the-fly/wiki]]></homepage>
        <file_name>catalogotf_plugin.2.9.1.zip</file_name>
        <icon>/media/packages/2021/catalogotf_8Sbz7zQ.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/catalogotf_plugin/version/2.9.1/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2015-03-31T11:16:26.276327+00:00</create_date>
        <update_date>2021-03-16T00:08:20.546201+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/catalog-on-the-fly/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/catalog-on-the-fly]]></repository>
        <tags><![CDATA[raster,catalog,satellite,ibama]]></tags>
        <downloads>28787</downloads>
        <average_vote>4.66649383356172</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="beePen" version="0.2.5" plugin_id="725">
        <description><![CDATA[Allows to draw freehand lines in a layer]]></description>
        <about><![CDATA[Plugin for drawing freehand lines with map-specified pen widths.
Its applications are for field mapping.
It is based on the &quot;Freehand&quot; plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.3</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/alberese/beePen]]></homepage>
        <file_name>beePen.0.2.5.zip</file_name>
        <icon>/media/packages/2024/icon_bttw421.png</icon>
        <author_name><![CDATA[Mauro Alberti, Mauro DeDonatis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/beePen/version/0.2.5/download/</download_url>
        <uploaded_by><![CDATA[mauroalberti]]></uploaded_by>
        <create_date>2015-04-05T20:54:42.941527+00:00</create_date>
        <update_date>2024-06-08T17:13:14.550316+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/alberese/beePen/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/alberese/beePen]]></repository>
        <tags><![CDATA[geology,field work,annotation,mapping]]></tags>
        <downloads>49240</downloads>
        <average_vote>3.7799244015119697</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OSMDownloader" version="1.0.4" plugin_id="727">
        <description><![CDATA[Plugin to download OSM data by area, using a selection by rectangle. The plugin can also automatically load the osm file into QGIS in a transparent way.]]></description>
        <about><![CDATA[Plugin to download OSM data using threads with a simple area selection.
It can automatically load downloaded *.osm files as QGIS layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lcoandrade/OSMDownloader]]></homepage>
        <file_name>OSMDownloader.1.0.4.zip</file_name>
        <icon>/media/packages/2026/rectangle.png</icon>
        <author_name><![CDATA[Luiz Andrade]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OSMDownloader/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[lcoandrade]]></uploaded_by>
        <create_date>2015-04-09T14:17:37.985771+00:00</create_date>
        <update_date>2025-11-10T17:08:14.973159+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lcoandrade/OSMDownloader]]></tracker>
        <repository><![CDATA[https://github.com/lcoandrade/OSMDownloader]]></repository>
        <tags><![CDATA[openstreetmap,osm,area,rectangle,tool,thread,downloader]]></tags>
        <downloads>976597</downloads>
        <average_vote>4.163629481604163</average_vote>
        <rating_votes>605</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Line direction histogram" version="3.2" plugin_id="730">
        <description><![CDATA[Create a histogram (rose diagram) of line directions]]></description>
        <about><![CDATA[Visualises the distribution of line segment directions as a rose diagram (weighted using the line segment lengths). Can save the rose diagram as CSV, PDF or SVG. Tested with QGIS 3.40.1 on Mac and PC]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[http://arken.nmbu.no/~havatv/gis/qgisplugins/LineDirectionHistogram/]]></homepage>
        <file_name>LineDirectionHistogram.3.2.zip</file_name>
        <icon>/media/packages/2025/icon_xrrsqoo.png</icon>
        <author_name><![CDATA[Håvard Tveite, NMBU, Updated for use in QGIS 3.X by Matt W @ KoBold Metals as Håvard passed away several years ago]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LineDirectionHistogram/version/3.2/download/</download_url>
        <uploaded_by><![CDATA[mwilliams]]></uploaded_by>
        <create_date>2015-04-12T11:18:44.041131+00:00</create_date>
        <update_date>2025-02-25T17:42:41.756187+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KoBoldMetals/qgislinedirectionhistogramplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/KoBoldMetals/qgislinedirectionhistogramplugin]]></repository>
        <tags><![CDATA[orientation,line,statistics,histogram,direction,line segment,rose diagram]]></tags>
        <downloads>53084</downloads>
        <average_vote>4.340810436126452</average_vote>
        <rating_votes>44</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Locate points along lines" version="0.3.4" plugin_id="734">
        <description><![CDATA[Creating points along lines]]></description>
        <about><![CDATA[Creating points along lines with given offset and interval]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ldebek/locate-points]]></homepage>
        <file_name>LocatePoints.0.3.4.zip</file_name>
        <icon>/media/packages/2020/icon_e0bXwCk.png</icon>
        <author_name><![CDATA[Łukasz Dębek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LocatePoints/version/0.3.4/download/</download_url>
        <uploaded_by><![CDATA[damnback]]></uploaded_by>
        <create_date>2015-04-13T19:50:10.581084+00:00</create_date>
        <update_date>2018-04-12T10:35:49.202435+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ldebek/locate-points/issues]]></tracker>
        <repository><![CDATA[https://github.com/ldebek/locate-points]]></repository>
        <tags><![CDATA[vector,feature,point,distance,polyline,geometry,layers]]></tags>
        <downloads>66140</downloads>
        <average_vote>4.446349172336208</average_vote>
        <rating_votes>56</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IPyConsole" version="2.1" plugin_id="735">
        <description><![CDATA[IPython QGIS Console]]></description>
        <about><![CDATA[This plugin adds a Python console based on IPython.
IPython has full introspection support and TAB completion, syntax highlight, online help ad a lot of cool features you will love! Optionally, this plugin creates more &quot;pythonic&quot; interface to Qgs classmethods for an easier introspection and TAB completion of Qgs classes.

Note: you must separately install IPython and IPython Qt console to use this plugin. On a Debian-like distributions this is as easy as running &quot;pip install &#x27;ipython[all]==3.1.0 qtconsole&#x27; or (better) &quot;pip install jupyter==1.0.0&quot;. To install packages with &#x27;pip&#x27; you may need root/admin privileges.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.itopen.it/qgis-and-ipython-the-definitive-interactive-console/]]></homepage>
        <file_name>IPyConsole.2.1.zip</file_name>
        <icon>/media/packages/2025/icon_rNdLPYA.png</icon>
        <author_name><![CDATA[Alessandro Pasotti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/IPyConsole/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[elpaso]]></uploaded_by>
        <create_date>2015-04-14T11:31:56.638477+00:00</create_date>
        <update_date>2025-04-24T06:51:03.164200+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/elpaso/qgis-ipythonconsole/issues]]></tracker>
        <repository><![CDATA[https://github.com/elpaso/qgis-ipythonconsole]]></repository>
        <tags><![CDATA[console,ipython]]></tags>
        <downloads>34957</downloads>
        <average_vote>4.124871097778195</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ReconstructLine" version="0.8.0" plugin_id="739">
        <description><![CDATA[Reconstruct linear features from unordered points]]></description>
        <about><![CDATA[Reconstruct linear features from points. Points can be unordered (mixed) time-wise, only spatial location of points is considered. This is NOT a simple &#x27;connect the dots as they are in the table&#x27; mechanism (for that – check Points2One plugin). Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nextgis/ReconstructLine]]></homepage>
        <file_name>reconstruct_line.0.8.0.zip</file_name>
        <icon>/media/packages/2024/save_line.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/reconstruct_line/version/0.8.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2015-04-22T19:58:14.968399+00:00</create_date>
        <update_date>2024-11-20T14:45:25.659419+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/ReconstructLine/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/ReconstructLine]]></repository>
        <tags><![CDATA[vector point line merge otf]]></tags>
        <downloads>22912</downloads>
        <average_vote>4.733017798813413</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qgis2web" version="4.0.0" plugin_id="740">
        <description><![CDATA[Export to an OpenLayers/Leaflet webmap]]></description>
        <about><![CDATA[QGIS plugin to export your project to an OpenLayers or Leaflet webmap. It replicates as many aspects of the project as it can, including layers, extent and styles (including categorized and graduated). No server-side software required.

Please consider a small donation at https://www.opengis.it/buy-me-a-coffee/
Even a modest &quot;virtual coffee&quot; can help support our commitment to providing quality software.
As a token of our gratitude, donors will receive as a gift qgis2o.gis (a plugin enhancing OpenLayers export of qgis2web).

Happy mapping!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis2web.github.io/qgis2web/]]></homepage>
        <file_name>qgis2web.4.0.0.zip</file_name>
        <icon>/media/packages/2023/qgis2web_lQQ54hr.png</icon>
        <author_name><![CDATA[Andrea Ordonselli, Tom Chadwin, Riccardo Klinger, Victor Olaya, Nyall Dawson]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis2web/version/4.0.0/download/</download_url>
        <uploaded_by><![CDATA[andreaordonselli]]></uploaded_by>
        <create_date>2015-04-23T10:05:36.272036+00:00</create_date>
        <update_date>2026-04-07T13:14:59.276424+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgis2web/qgis2web/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgis2web/qgis2web]]></repository>
        <tags><![CDATA[html,web,openlayers,export,leaflet,webmap,javascript,webmaps,css,ol3,mapbox gl js]]></tags>
        <downloads>1517245</downloads>
        <average_vote>4.360761712782737</average_vote>
        <rating_votes>887</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PostNAS Suchfunktionen" version="1.4.0" plugin_id="745">
        <description><![CDATA[Searchfunction for PostNAS Database]]></description>
        <about><![CDATA[This plugin can search parcels in a PostNAS database. The concept of this plugin is a single field search like google. So you can search substrings of the parcel identifier. After finding the parcel will be highlighted in the map.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Kreis-Unna/PostNAS_Search]]></homepage>
        <file_name>PostNAS_Search.1.4.0.zip</file_name>
        <icon>/media/packages/2020/search_24x24.png</icon>
        <author_name><![CDATA[Michael Dreesmann - Kreis-Unna]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PostNAS_Search/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[brandt]]></uploaded_by>
        <create_date>2015-04-29T06:48:51.686587+00:00</create_date>
        <update_date>2020-03-31T13:19:06.855472+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kreis-Unna/PostNAS_Search/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kreis-Unna/PostNAS_Search]]></repository>
        <tags><![CDATA[cadastre,nas,germany,alkis,postnas]]></tags>
        <downloads>15746</downloads>
        <average_vote>4.408890504977046</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Load QSS - UI themes" version="1.4.3" plugin_id="748">
        <description><![CDATA[Configure look and feel for Qgis]]></description>
        <about><![CDATA[&lt;b&gt;Load QSS allows the user to load his/her own *.qss files and change the look and feel of Qgis.&lt;/b&gt;
&lt;BR /&gt;
Some examples o predefined themes are provided.

&lt;div style=&quot;width:400px; height:200px;overflow:scroll; overflow-x: hidden; overflow-y: hidden;&quot;&gt;
&lt;img src=&quot;https://goo.gl/GgTCxc&quot; width=&quot;300&quot; height=&quot;200!important&quot;/&gt;
&lt;/div&gt;
&lt;a href=&quot;https://all4gis.github.io//&quot;&gt;Author website&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/All4Gis/Load-QSS]]></homepage>
        <file_name>LoadQSS.1.4.3.zip</file_name>
        <icon>/media/packages/2025/icon_Ks1RHjX.png</icon>
        <author_name><![CDATA[Francisco Raga]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LoadQSS/version/1.4.3/download/</download_url>
        <uploaded_by><![CDATA[all4gis]]></uploaded_by>
        <create_date>2015-04-29T10:31:15.377978+00:00</create_date>
        <update_date>2025-10-21T09:21:02.021597+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/All4Gis/Load-QSS/issues]]></tracker>
        <repository><![CDATA[https://github.com/All4Gis/Load-QSS]]></repository>
        <tags><![CDATA[style,productivity,configuration,qss,look and feel,themes,work flow]]></tags>
        <downloads>44362</downloads>
        <average_vote>4.72810943583072</average_vote>
        <rating_votes>103</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Thin greyscale image to skeleton" version="3.0" plugin_id="749">
        <description><![CDATA[Thin a greyscale image to a skeleton]]></description>
        <about><![CDATA[The Thin Greyscale plugin will thin a greyscale image
to a greyscale skeleton image, given a set of levels.  For
multiband images, the band to be thinned can be specified.
Integer and decimal bands are supported.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://arken.nmbu.no/~havatv/gis/qgisplugins/ThinGreyscale/]]></homepage>
        <file_name>ThinGreyscale.3.0.zip</file_name>
        <icon>/media/packages/2019/icon_gDSgajU.png</icon>
        <author_name><![CDATA[Håvard Tveite, NMBU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ThinGreyscale/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[havatv]]></uploaded_by>
        <create_date>2015-04-30T13:21:52.739574+00:00</create_date>
        <update_date>2019-03-26T14:55:34.863120+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/havatv/qgisthingreyscaleplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/havatv/qgisthingreyscaleplugin.git]]></repository>
        <tags><![CDATA[raster,levels,greyscale,grayscale,skeleton,skeletonize,thin]]></tags>
        <downloads>8725</downloads>
        <average_vote>4.1244844394450695</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Magnetic Declination" version="2.4.4" plugin_id="750">
        <description><![CDATA[Calculates the magnetic heading from a true geographic heading and vice versa.]]></description>
        <about><![CDATA[Uses the NOAA National Geophysical Data Center, epoch 2020 data.
The World Magnetic Model (WMM) are accurate to within 30 minutes of arc for D and I and about 200 nanoTesla for the intensity elements.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://hacked-crew.blogspot.com/2015/05/declinazione-geomagnetica.html]]></homepage>
        <file_name>MagneticDeclination.2.4.4.zip</file_name>
        <icon>/media/packages/2023/icon_TR7Ssx3.png</icon>
        <author_name><![CDATA[Aldo Scorza]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MagneticDeclination/version/2.4.4/download/</download_url>
        <uploaded_by><![CDATA[hackedcrew]]></uploaded_by>
        <create_date>2015-05-02T14:15:40.393366+00:00</create_date>
        <update_date>2023-12-04T10:32:26.250644+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Hacked-Crew/Magnetic-Declination/issues]]></tracker>
        <repository><![CDATA[https://github.com/Hacked-Crew/Magnetic-Declination]]></repository>
        <tags><![CDATA[calculator,topography,bearing,magnetic,declination,north,compass,rose,world magnetic model]]></tags>
        <downloads>45448</downloads>
        <average_vote>4.55810420074263</average_vote>
        <rating_votes>129</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Red Layer" version="2.2" plugin_id="752">
        <description><![CDATA[quick georeferenced sketches and annotations]]></description>
        <about><![CDATA[A qgis plugin for sketching and drawing on map canvas. It is intended for quick annotations and field use. Sketches can be drawn in different colors and widths and can be converted in memory layer if needed. The sketches are stored in the project directory in a separate .sketch txt file that can be shared with other users.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://geogear.wordpress.com]]></homepage>
        <file_name>redLayer.2.2.zip</file_name>
        <icon>/media/packages/2021/sketch_q5J583C.svg</icon>
        <author_name><![CDATA[Enrico Ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/redLayer/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[enricofer]]></uploaded_by>
        <create_date>2015-05-06T12:09:56.841529+00:00</create_date>
        <update_date>2021-05-01T07:36:44.541198+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enricofer/redLayer/issues]]></tracker>
        <repository><![CDATA[https://github.com/enricofer/redLayer]]></repository>
        <tags><![CDATA[draw,sketch,annotations,pen]]></tags>
        <downloads>65281</downloads>
        <average_vote>4.088798026710518</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DataExplorer: Data Analysis and Visualization" version="3.1.1" plugin_id="757">
        <description><![CDATA[Calculate and show statistical properties for a field]]></description>
        <about><![CDATA[Data Explorer is aimed at plotting and/or analysing data series, with particular emphasis on time series. The plugin structure has been partially inspired by the plugin]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/Borsi/dataexplorer/]]></homepage>
        <file_name>dataexplorer.3.1.1.zip</file_name>
        <icon>/media/packages/2022/dataexp.png</icon>
        <author_name><![CDATA[Iacopo Borsi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dataexplorer/version/3.1.1/download/</download_url>
        <uploaded_by><![CDATA[iaborsi]]></uploaded_by>
        <create_date>2015-05-15T11:35:13.294443+00:00</create_date>
        <update_date>2022-09-02T17:00:19.315830+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Borsi/dataexplorer/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/iaborsi/dataexplorer/src]]></repository>
        <tags><![CDATA[vector,analysis,statistics]]></tags>
        <downloads>54113</downloads>
        <average_vote>4.208157993416941</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Clip Multiple Layers" version="3.2.0" plugin_id="761">
        <description><![CDATA[Clip all displayed layers (rasters and vectors) with a polygon layer selected.]]></description>
        <about><![CDATA[Clip all displayed layers (rasters and vectors) with a polygon layer selected.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Taknok/Qgisplugin-ClipMultipleLayers/wiki]]></homepage>
        <file_name>ClipMultipleLayers.3.2.0.zip</file_name>
        <icon>/media/packages/2021/icon_n0a88pg.png</icon>
        <author_name><![CDATA[Pg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ClipMultipleLayers/version/3.2.0/download/</download_url>
        <uploaded_by><![CDATA[taknok]]></uploaded_by>
        <create_date>2015-05-19T14:13:04.540857+00:00</create_date>
        <update_date>2021-01-13T13:02:54.547477+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Taknok/Qgisplugin-ClipMultipleLayers/issues]]></tracker>
        <repository><![CDATA[https://github.com/Taknok/Qgisplugin-ClipMultipleLayers]]></repository>
        <tags><![CDATA[vector,python,raster,layer,multiple,clip,clipper,all,once]]></tags>
        <downloads>163847</downloads>
        <average_vote>3.975470708476919</average_vote>
        <rating_votes>204</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Board" version="1.0.1" plugin_id="764">
        <description><![CDATA[View and edit vector and raster properties for the project layers in a table]]></description>
        <about><![CDATA[This plugin helps to see and modify properties for vector and raster layers. It shows the layers in a table sheet, and the user can directly modify some properties such as layer name, title, abstract, minimum and maximum scales. Some actions can be performed on multiple layers at once, such as modifying spatial reference system and scale based visibility. The layers information can be exported to Comma Separated Values (CSV).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/3liz/QgisLayerBoardPlugin/]]></homepage>
        <file_name>LayerBoard.1.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_Gw02XSB.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LayerBoard/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2015-05-22T18:59:30.246407+00:00</create_date>
        <update_date>2019-10-14T10:47:20.322780+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/QgisLayerBoardPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/QgisLayerBoardPlugin/]]></repository>
        <tags><![CDATA[style,table,metadata,report,layers,properties,board]]></tags>
        <downloads>41799</downloads>
        <average_vote>4.475977334412646</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spreadsheet Layers" version="2.1.2" plugin_id="766">
        <description><![CDATA[Load layers from spreadsheet files (*.ods, *.xls, *.xlsx)]]></description>
        <about><![CDATA[This plugin adds a &quot;Add spreadsheet layer&quot; entry in &quot;Layer&quot; / &quot;Add new Layer&quot; menu and a corresponding button in the &quot;Layers&quot; toolbar.
These two links open the same dialog to load a layer from a spreadsheet file (*.ods, *.xls, *.xlsx) with some options (use header at first line, ignore some rows and optionally load geometry from x and y fields).
When this dialog is accepted, it creates a new GDAL VRT file in same folder as the source data file and layer name, expanded with a .vrt suffix which is loaded into QGIS using OGR VRT driver.
When reusing the same file twice, the dialog loads its values from the existing .vrt file.
No need to install additional dependencies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/camptocamp/QGIS-SpreadSheetLayers]]></homepage>
        <file_name>SpreadsheetLayers.2.1.2.zip</file_name>
        <icon>/media/packages/2024/mActionAddSpreadsheetLayer_pp67Ips.svg</icon>
        <author_name><![CDATA[Camptocamp]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SpreadsheetLayers/version/2.1.2/download/</download_url>
        <uploaded_by><![CDATA[amorvan]]></uploaded_by>
        <create_date>2015-06-03T12:03:00.836659+00:00</create_date>
        <update_date>2024-02-29T07:27:26.218542+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/camptocamp/QGIS-SpreadSheetLayers/issues]]></tracker>
        <repository><![CDATA[https://github.com/camptocamp/QGIS-SpreadSheetLayers]]></repository>
        <tags><![CDATA[excel,xlsx,ods,xls,spreadsheet,calc]]></tags>
        <downloads>614825</downloads>
        <average_vote>4.255162631810042</average_vote>
        <rating_votes>435</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Customize ToolBars" version="1.1" plugin_id="770">
        <description><![CDATA[Create customs Toolbars for Qgis.]]></description>
        <about><![CDATA[This plugin allows to create personalized tools, with the buttons the user desires. It is only necessary dragging from the list on the left and dropping in the list on the right, the tools that the user desires to add to any of the previously created toolbars.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/All4Gis/CustomToolBar]]></homepage>
        <file_name>CustomToolBar.1.1.zip</file_name>
        <icon>/media/packages/2019/icon_huydYYk.png</icon>
        <author_name><![CDATA[Francisco Raga]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CustomToolBar/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[all4gis]]></uploaded_by>
        <create_date>2015-06-09T21:44:00.003561+00:00</create_date>
        <update_date>2019-03-19T10:40:16.303781+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/All4Gis/CustomToolBar/issues]]></tracker>
        <repository><![CDATA[https://github.com/All4Gis/CustomToolBar]]></repository>
        <tags><![CDATA[menu,style,productivity,processing,configuration,tool,toolbars,create,actions,custom,work flow]]></tags>
        <downloads>54978</downloads>
        <average_vote>4.513976504892478</average_vote>
        <rating_votes>107</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGISConefor" version="2.0.3" plugin_id="772">
        <description><![CDATA[A QGIS plugin to integrate with the Conefor landscape conectivity analysis software.]]></description>
        <about><![CDATA[This plugin adds integration with Conefor, a tool for landscape analysis.

Conefor is a software that provides tools for studying landscape conectivity. It features a command line version thatis available for Windows, Mac OS and Linux. It can be downloaded from http://conefor.org

This plugin integrates Conefor with QGIS. It can be used in two modes:

* A plugin dialog with a custom GUI that can be used to generate the input files needed in order to run Conefor analysis. These files can then be used to run Conefor externally and perform the study.

* A set of Processing algorithms that can be used to work with Conefor inside QGIS. It provides algorithms for both preparing Conefor inputs (the same functionality as available in the plugin&#x27;s dialog) and also for running most of Conefor&#x27;s algorithms. This makes it possible to create Processing models and scripts that efectively enable a user to use QGIS as a frontend to interact with Conefor.

* Conefor authors are Santiago Saura (santiago.saura@upm.es) and Josep Torné. This plugin was developed by Ricardo Garcia Silva (ricardo.garcia.silva@gmail.com) with funding from ETSI Montes, Universidad Politécnica de Madrid. The plugin is released under a GPL license.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ricardogsilva.github.io/qgisconefor]]></homepage>
        <file_name>qgisconefor.2.0.3.zip</file_name>
        <icon>/media/packages/2024/icon_Uhr3eTi.png</icon>
        <author_name><![CDATA[Ricardo Garcia Silva]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisconefor/version/2.0.3/download/</download_url>
        <uploaded_by><![CDATA[ricardogsilva]]></uploaded_by>
        <create_date>2015-06-10T19:38:14.830007+00:00</create_date>
        <update_date>2024-11-15T15:13:53.493239+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ricardogsilva/qgisconefor/issues]]></tracker>
        <repository><![CDATA[https://github.com/ricardogsilva/qgisconefor]]></repository>
        <tags><![CDATA[landscape,conefor]]></tags>
        <downloads>10809</downloads>
        <average_vote>4.624710955565277</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Toggle Active Layer" version="1.3" plugin_id="782">
        <description><![CDATA[Plugin for toggle visibility of active layer]]></description>
        <about><![CDATA[This plugin is a tool for toggle visibility of active layer, for example, you can see the difference with others layers below, when pressed and released.
This plugin is developed on the demand of IBAMA(Brazilian Institute of Environment and Renewable Natural Resources)
http://www.ibama.gov.br]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/toggleactivelayer_plugin/wiki]]></homepage>
        <file_name>toggleactivelayer_plugin.1.3.zip</file_name>
        <icon>/media/packages/2020/toggleactivelayer.png</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/toggleactivelayer_plugin/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2015-06-29T16:58:12.593104+00:00</create_date>
        <update_date>2020-02-18T20:24:34.743602+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/toggleactivelayer_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/toggleactivelayer_plugin]]></repository>
        <tags><![CDATA[visibility,layers,ibama]]></tags>
        <downloads>15486</downloads>
        <average_vote>4.666277810182485</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MongoConnector" version="1.3.1" plugin_id="784">
        <description><![CDATA[QGIS plugin to add geospatial data from mongodb database.]]></description>
        <about><![CDATA[This plugin allows you to add collection from mongodb as layer in QGIS.
It requires pymongo&gt;=3.0 python plugin for mongodb access ($pip install pymongo).
Layer from mongodb collection is created in memory and named after collection
(with some random numbers). As for now save to database is not supported.
Please report bugs and suggestions on github issues tracker.
To use it just click connect button. Choose database and collection. Finally
Mark if geometry is like in geojson or pick proper field with geometry.
If geojson-style than all the geometry types are supported otherwise
points / lines geometries only. Other data in collection are added as
feature attributes. Data in &quot;properties&quot; field can be used as data
if key was found. See examples for details.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
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        <server>False</server>
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        <description><![CDATA[Collection of tools for space syntax analysis workflows in a GIS environment.]]></description>
        <about><![CDATA[The “Space Syntax Toolkit” is a QGIS plug-in offering user friendly space syntax analysis workflows in a GIS environment.
It provides a front-end for the depthmapX software within QGIS, for seamless spatial network analysis.
Furthermore, it includes tools for urban data management and analysis, namely land use, entrances, frontages, pedestrian movement, road centre lines, and service areas.
Originally developed at the Space Syntax Laboratory, The Bartlett, UCL, the plugin includes contributions from Space Syntax Limited.
Mailing list: spacesyntax-toolkit@jiscmail.ac.uk
Dependencies: For network analysis requires depthmapXnet 0.35. It can be downloaded from: http://archtech.gr/varoudis/depthmapX/?dir=depthmapXnet]]></about>
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        <homepage><![CDATA[https://github.com/SpaceGroupUCL/qgisSpaceSyntaxToolkit]]></homepage>
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        <author_name><![CDATA[Jorge Gil, Ioanna Kovolou, Abhimanyu Acharya, Stephen Law, Laurens Versluis, Petros Koutsolampros]]></author_name>
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        <tags><![CDATA[network analysis,space syntax,numeric attribute visualisation,spatial analysis]]></tags>
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        <server>False</server>
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        <description><![CDATA[postgis database versioning]]></description>
        <about><![CDATA[A tool to manage data history, branches, and to work offline with your PostGIS-stored data and QGIS.]]></about>
        <trusted>True</trusted>
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        <icon>/media/packages/2019/historize.svg</icon>
        <author_name><![CDATA[Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_versioning/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/Oslandia/qgis-versioning/issues]]></tracker>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CLUZ4" version="2026.3.28" plugin_id="791">
        <description><![CDATA[CLUZ for QGIS v4]]></description>
        <about><![CDATA[The CLUZ (Conservation Land-Use Zoning) plugin lets people design conservation area and nature recovery networks through on-screen conservation planning. It also acts as an interface for the Marxan and Marxan with Zones software package.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://cluz-systematic-conservation-planning.github.io/]]></homepage>
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        <author_name><![CDATA[Bob Smith]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cluz/version/2026.3.28/download/</download_url>
        <uploaded_by><![CDATA[anotherbobsmith]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/CLUZ-systematic-conservation-planning/]]></tracker>
        <repository><![CDATA[https://github.com/CLUZ-systematic-conservation-planning/]]></repository>
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        <server>False</server>
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        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gisforthought.com/qgis-multi-ring-buffer/]]></homepage>
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        <icon>/media/packages/2018/icon_qaJJgbl.svg</icon>
        <author_name><![CDATA[Heikki Vesanto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Multi_Ring_Buffer/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[heikkivesanto]]></uploaded_by>
        <create_date>2015-07-12T22:14:32.371213+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HeikkiVesanto/QGIS_Multi_Ring_Buffer/issues]]></tracker>
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        <tags><![CDATA[vector,distance,buffer,multi,ring]]></tags>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Catalog Planet Labs" version="2.0" plugin_id="796">
        <description><![CDATA[This plugin lets you get images from the Planet Labs API(Version 1).]]></description>
        <about><![CDATA[This plugin lets you get images from the Planet Labs API(Version 1), by performing searches for images that intersect with the extent of the map window.
It is a product from Planet Explorers program (https://www.planet.com/explorers/), it is not an official Planet Labs&#x27;s plugin.
You need a key from Planet Labs in order to use this plugin.
This plugin will be create polygon layer (Catalog of images) from intersect with the extent of the map window.
With this plugin, you can download full images(type analytic) and view the XYZ Tiles services(Montly mosaics and images).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/catalogpl_plugin/wiki]]></homepage>
        <file_name>catalogpl_plugin.2.0.zip</file_name>
        <icon>/media/packages/2019/planet_5SO6Dby.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/catalogpl_plugin/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2015-07-22T13:35:40.061560+00:00</create_date>
        <update_date>2019-05-08T14:36:55.880355+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/catalogpl_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/catalogpl_plugin]]></repository>
        <tags><![CDATA[raster,catalog,satellite,planet labs]]></tags>
        <downloads>35772</downloads>
        <average_vote>4.407244176141624</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[This plugin exports all vector layers as GeoJSON with their SLD styling. Active raster layers are exported according to their position in the layer stack as multiband GeoTIFFs. The resulting files are zipped into a file named after the QGIS project. The layer order and additional information is stored in a metadata.json. Basemap PNG tiles are ignored at export.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.3</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/orfon/bulkvectorexport/]]></homepage>
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        <icon>/media/packages/2015/icon_Z4ripvG.png</icon>
        <author_name><![CDATA[Simon Oberhammer, Günter Hack]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bulkvectorexportwithstyle/version/0.7.2/download/</download_url>
        <uploaded_by><![CDATA[guenterhack]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/orfon/bulkvectorexport/issues]]></tracker>
        <repository><![CDATA[https://github.com/orfon/bulkvectorexport]]></repository>
        <tags><![CDATA[vector,raster,export,style,crs,sld,geotiff]]></tags>
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        <rating_votes>35</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="maps2WinBUGS" version="3.0" plugin_id="812">
        <description><![CDATA[a tool to facilitate data processing for Bayesian spatial modeling]]></description>
        <about><![CDATA[Bayesian methods for spatial modeling and analysis are being increasingly used in different research fields (e.g. ecology, epidemiology, social science). In Bayesian spatial modeling, perhaps the most widely used tool is GeoBUGS, which is included in WinBUGS and OpenBUGS. These applications are very flexible and user-friendly for modeling in a Bayesian framework. In spatial statistics, a primary source of data is the map to which attribute data may be linked. In GeoBUGS, vector digital maps are used. In most cases, these types of maps are developed in a geographic information system (GIS). The different GISs use map protocols for handling vector (or pixel) graphical maps. These map formats are convertible with each other. GeoBUGS cannot read the formats that most GISs support, but can read special formats (ArcInfo, S-Plus, and EpiMap) to describe the spatial structure of vector graphical maps. The user must convert any vector digital map to one of these formats before using GeoBUGS. This conversion can be done many ways, and may be facilitated by specialized tools. The aim of the development of maps2WinBUGS was to produce an open source, free, and relatively easy-to-use tool with functions for the preparation of maps and tabular data for spatial modeling with GeoBUGS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>maps2winbugs.3.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Norbert Solymosi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/maps2winbugs/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[solymosi]]></uploaded_by>
        <create_date>2015-07-31T18:44:35.624348+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/solymosin/maps2winbugs/issues]]></tracker>
        <repository><![CDATA[https://github.com/solymosin/maps2winbugs]]></repository>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Menu Builder" version="0.9.2" plugin_id="820">
        <description><![CDATA[Create your own menus with your favorite layers]]></description>
        <about><![CDATA[Create your own menus with your favorite layers. Easy configuration is done with drag &amp; drop from the qgis browser.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Oslandia/qgis-menu-builder]]></homepage>
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        <icon>/media/packages/2018/icon_vInly1l.png</icon>
        <author_name><![CDATA[Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MenuBuilder/version/0.9.2/download/</download_url>
        <uploaded_by><![CDATA[ldgeo]]></uploaded_by>
        <create_date>2015-08-14T13:34:37.477298+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Oslandia/qgis-menu-builder/issues]]></tracker>
        <repository><![CDATA[https://github.com/Oslandia/qgis-menu-builder]]></repository>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RasterStats" version="0.4.3" plugin_id="821">
        <description><![CDATA[Raster Statistics toolbox for QGIS]]></description>
        <about><![CDATA[This plugin is designed to return basic raster statistics regarding raster files for polygons in a given layer.
In addition to the tools that already exist in QGIS for computing raster statistics, this plugin allows for the computation of histograms for zones and provides a wider range of summary statistics (Average,Mean,Median,Standard deviation,Variance,Minimum and Maximum)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
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        <homepage><![CDATA[www.xl-optim.com/rasterstats]]></homepage>
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        <icon>/media/packages/2019/icon_Hf4EoKV.png</icon>
        <author_name><![CDATA[Pedro Camargo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rasterstats/version/0.4.3/download/</download_url>
        <uploaded_by><![CDATA[pcamargo]]></uploaded_by>
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        <experimental>False</experimental>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QBan(o)" version="1.8" plugin_id="828">
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        <about><![CDATA[Le fichier des adresses doit être ouvert dans Qgis. L&#x27;adresse doit être contenue dans une seule colonne (numero, rue, code postal, ville). Une fois la géolocalisation effectuée, une colonne &quot;score&quot; permet de connaitre la fiabilité de l&#x27;adresse, 1 étant la meilleure note (à partir de 0,5, la localisation est fiable).]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2023/icon_pROcXjp.png</icon>
        <author_name><![CDATA[CREASIG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QBano/version/1.8/download/</download_url>
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        <about><![CDATA[It allows to convert any GIS vector format towards the .shp only. You may also apply a new projection.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2018/icon_cCXMH4b.png</icon>
        <author_name><![CDATA[CREASIG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QPackage/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[creasig]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://plugins.qgis.org/plugins/QPackage]]></tracker>
        <repository><![CDATA[http://plugins.qgis.org/plugins/QPackage]]></repository>
        <tags><![CDATA[python]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[Centroid within point of surface within, pole of inaccessibility within, and mostly within selection. Centroid not guaranteed to be within the original geometry, while the other two centroid selection types are. Pole of inaccessibility is done using the polylabel algorithm: https://github.com/mapbox/polylabel as implemented in the QGIS core code. Works best with lines and polygons, but should work with other geometries as well.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://gisforthought.com/qgis-select-within-plugin/]]></homepage>
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        <icon>/media/packages/2018/icon_yGZBMfP.png</icon>
        <author_name><![CDATA[Heikki Vesanto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SelectWithin/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[heikkivesanto]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HeikkiVesanto/SelectWithin/issues]]></tracker>
        <repository><![CDATA[https://github.com/HeikkiVesanto/QGIS_Centroid_Within/]]></repository>
        <tags><![CDATA[vector,selection,intersection,analysis,select,polygon,within]]></tags>
        <downloads>52148</downloads>
        <average_vote>4.642691332452412</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GMSH" version="0.2.2" plugin_id="834">
        <description><![CDATA[This is a plugin to interract with the GMSH mesh generator (see http://geuz.org/gmsh).]]></description>
        <about><![CDATA[Generate geometry input files for the GMSH mesh generator (http://geuz.org/gmsh) and convert the GMSH mesh file to shapefiles that can be imported into QGIS. The nightly snaphshot(http://geuz.org/gmsh/#Download) version of GMSH is required to mesh the generated .geo files. For more details, see this tutorial : https://github.com/ccorail/qgis-gmsh/wiki.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ccorail/qgis-gmsh/]]></homepage>
        <file_name>gmsh.0.2.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Jonathan Lambrechts]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gmsh/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[ccorail]]></uploaded_by>
        <create_date>2015-08-26T12:43:10.337600+00:00</create_date>
        <update_date>2021-02-22T10:07:31.058785+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ccorail/qgis-gmsh/issues]]></tracker>
        <repository><![CDATA[https://github.com/ccorail/qgis-gmsh/]]></repository>
        <tags><![CDATA[vector,mesh,gmsh]]></tags>
        <downloads>17120</downloads>
        <average_vote>4.095043093186039</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DEMto3D" version="3.6" plugin_id="835">
        <description><![CDATA[3D Printing of terrain models.]]></description>
        <about><![CDATA[DEMto3D is the first tool that links GIS (Geographic Information System) and 3D printing. DEMto3D allows export raster DEM to STL format ready to 3D printing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://demto3d.com/]]></homepage>
        <file_name>DEMto3D.3.6.zip</file_name>
        <icon>/media/packages/2023/demto3d.png</icon>
        <author_name><![CDATA[Francisco Javier Venceslá Simón]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DEMto3D/version/3.6/download/</download_url>
        <uploaded_by><![CDATA[jawensi]]></uploaded_by>
        <create_date>2015-08-27T11:17:13.079501+00:00</create_date>
        <update_date>2023-08-16T18:11:32.059587+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jawensi/DEMto3D/issues]]></tracker>
        <repository><![CDATA[https://github.com/jawensi/DEMto3D]]></repository>
        <tags><![CDATA[raster,dem,3d,relief terrain,3d printing,stl]]></tags>
        <downloads>214138</downloads>
        <average_vote>4.2777637981575225</average_vote>
        <rating_votes>306</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="INSPIRE Nederland plugin voor QGIS" version="2.8" plugin_id="840">
        <description><![CDATA[EN: A tool to query INSPIRE datasets of the Dutch national dataportal &quot;National Georegistry (NGR)&quot; and add it to QGIS.
NL: Een tool om de INSPIRE datasets uit het Nationaal Georegister te bevragen en toe te voegen aan QGIS.]]></description>
        <about><![CDATA[In het kader van INSPIRE realiseren de Europese lidstaten een digitaal netwerk voor het uitwisselen van gegevens over de leefomgeving. INSPIRE zorgt ervoor dat deze geo-informatie van goede kwaliteit is en dat de inhoud ervan, ook over de landsgrenzen heen, op elkaar is afgestemd. In Nederland zijn inmiddels beschrijvingen van meer dan 200 INSPIRE datasets en circa 265 bijbehorende services aanwezig in het Nationaal Georegister (http://www.nationaalgeoregister.nl/).
Om het gebruik van INSPIRE data te vergemakkelijken voor de professionele GIS-gebruikers in Nederland is voor QGIS een plugin ontwikkeld. Deze plugin maakt het gemakkelijk om direct via het Nationaal Georegister de INSPIRE datasets en services te vinden, te raadplegen en te downloaden. Via de plugin kan een gebruiker INSPIRE-data zoeken op trefwoord, INSPIRE-thema, organisatie of type service en het gevonden resultaat direct toevoegen aan QGIS.
De INSPIRE QGIS plugin is tot stand gekomen onder verantwoordelijkheid van Geonovum. Geonovum ondersteunt het ministerie van Binnenlandse Zaken en Koninkrijkrelaties en dataproviders bij de invoering van INSPIRE in Nederland. De plugin is ontwikkeld door KGIS (http://kgis.be/).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geonovum.nl/geo-standaarden/inspire-europese-leefomgeving/]]></homepage>
        <file_name>inspireNL.2.8.zip</file_name>
        <icon>/media/packages/2021/icon_yPFCHdw.png</icon>
        <author_name><![CDATA[Kay Warrie]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/inspireNL/version/2.8/download/</download_url>
        <uploaded_by><![CDATA[warrieka]]></uploaded_by>
        <create_date>2015-09-13T15:57:12.729795+00:00</create_date>
        <update_date>2021-12-10T14:14:48.421032+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/warrieka/inspireNL/issues]]></tracker>
        <repository><![CDATA[https://github.com/warrieka/inspireNL]]></repository>
        <tags><![CDATA[inspire,nederland,pdok,nationaal,georegister]]></tags>
        <downloads>38759</downloads>
        <average_vote>3.5907458751874914</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Complex GML Info" version="0.6" plugin_id="844">
        <description><![CDATA[Display the featureinfo of complex GML featuretypes.]]></description>
        <about><![CDATA[Display the featureinfo of complex GML featuretypes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/qgisinspiretools/qgis-complex-gmlinfo-plugin]]></homepage>
        <file_name>ComplexGmlInfo.0.6.zip</file_name>
        <icon>/media/packages/2025/icon_I2811ju.png</icon>
        <author_name><![CDATA[Juergen Weichand, Tim Vinzing, Edward Nash, Wilhelm Beiche]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ComplexGmlInfo/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[ejn]]></uploaded_by>
        <create_date>2015-09-19T11:16:27.460860+00:00</create_date>
        <update_date>2025-12-08T12:46:09.715742+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/qgisinspiretools/qgis-complex-gmlinfo-plugin/issues]]></tracker>
        <repository><![CDATA[http://github.com/qgisinspiretools/qgis-complex-gmlinfo-plugin]]></repository>
        <tags><![CDATA[wfs,inspire,gml,gml 2.0,gml 3.2,gml 3.1]]></tags>
        <downloads>8424</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PosiView" version="1.3.2" plugin_id="848">
        <description><![CDATA[PosiView tracks multiple mobile objects and vehicles and displays their position on the canvas]]></description>
        <about><![CDATA[Track multiple objects and vehicles and display them as shapes and points on the canvas]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.marum.de/Meerestechnik.html]]></homepage>
        <file_name>PosiView.1.3.2.zip</file_name>
        <icon>/media/packages/2024/icon_0NjOUse.png</icon>
        <author_name><![CDATA[Jens Renken (Marum, University of Bremen)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PosiView/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[jrenken]]></uploaded_by>
        <create_date>2015-09-22T14:44:41.155816+00:00</create_date>
        <update_date>2024-07-03T13:02:04.167313+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jrenken/qgis-PosiView/issues]]></tracker>
        <repository><![CDATA[https://github.com/jrenken/qgis-PosiView]]></repository>
        <tags><![CDATA[network,tracking,mapcanvas,real time]]></tags>
        <downloads>28424</downloads>
        <average_vote>4.310196200131029</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AmigoCloud" version="0.18" plugin_id="849">
        <description><![CDATA[AmigoCloud]]></description>
        <about><![CDATA[The AmigoCloud plugin allows to connect QGIS to AmigoCloud backend using AmigoCloud GDAL data source]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://plugins.qgis.org/plugins/qgis-amigocloud-plugin/]]></homepage>
        <file_name>qgis-amigocloud-plugin.0.18.zip</file_name>
        <icon>/media/packages/2021/icon_L86xHg0.png</icon>
        <author_name><![CDATA[AmigoCloud]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-amigocloud-plugin/version/0.18/download/</download_url>
        <uploaded_by><![CDATA[vchernet]]></uploaded_by>
        <create_date>2015-09-29T19:52:42.593894+00:00</create_date>
        <update_date>2021-03-10T13:00:27.848502+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/amigocloud/qgis-amigocloud-plugin/issues/]]></tracker>
        <repository><![CDATA[https://github.com/amigocloud/qgis-amigocloud-plugin]]></repository>
        <tags><![CDATA[web,wfs,wms,webservice,gis]]></tags>
        <downloads>31018</downloads>
        <average_vote>4.045270669515022</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="changeDataSource" version="3.1" plugin_id="850">
        <description><![CDATA[Right click on layer tree to change single layer datasource of click on icon to change datasources globally]]></description>
        <about><![CDATA[The plugin allows to change the datasources of the loaded layers. The operation can be performed right clicking on legend items for single layer or globally on a summary table by clicking on toolbar plugin icon. The plugin takes control of bad layers handling allowing to specify valid datasources working on project]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geogear.wordpress.com/2016/01/29/changedatasourceplugin-plugin-release-2-0/]]></homepage>
        <file_name>changeDataSource.3.1.zip</file_name>
        <icon>/media/packages/2020/icon_X8dmbWK.png</icon>
        <author_name><![CDATA[enrico ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/changeDataSource/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[enricofer]]></uploaded_by>
        <create_date>2015-10-01T06:40:20.532644+00:00</create_date>
        <update_date>2020-10-15T10:37:56.527353+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enricofer/changeDataSource/issues]]></tracker>
        <repository><![CDATA[https://github.com/enricofer/changeDataSource/]]></repository>
        <tags><![CDATA[legend,database,layers,sources,datasources,not found layers,bad layers]]></tags>
        <downloads>84575</downloads>
        <average_vote>4.752885260173409</average_vote>
        <rating_votes>85</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapSwipe Tool" version="1.4" plugin_id="858">
        <description><![CDATA[Swipe active layer with others layers]]></description>
        <about><![CDATA[This plugin is a map tool for swipe active layer.
The active layer, or group, will appear above all others.
This plugin is developed of collaborative form with IBAMA [1] and APPLIED TECHNOLOGY CO., LTD [2].
[1] http://www.ibama.gov.br
[2] http://www.apptec.co.jp]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/mapswipetool_plugin/wiki]]></homepage>
        <file_name>mapswipetool_plugin.1.4.zip</file_name>
        <icon>/media/packages/2024/mapswipetool.png</icon>
        <author_name><![CDATA[Hirofumi Hayashi and Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapswipetool_plugin/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2015-10-14T14:12:33.243259+00:00</create_date>
        <update_date>2025-12-09T08:19:10.576609+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/mapswipetool_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/mapswipetool_plugin]]></repository>
        <tags><![CDATA[visibility,layers,ibama,swipe,applied technology co.]]></tags>
        <downloads>219279</downloads>
        <average_vote>4.489479094551786</average_vote>
        <rating_votes>143</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geosearch DK" version="3.0.1" plugin_id="862">
        <description><![CDATA[Search and zoom to named places in Denmark]]></description>
        <about><![CDATA[Uses Dataforsyningen services for searching Danish addresses, road names, place names, land registry and a lot more. This plugin is developed by Septima.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Septima/qgis-geosearch]]></homepage>
        <file_name>geosearch_dk.3.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_NVMr8vF.png</icon>
        <author_name><![CDATA[Septima]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geosearch_dk/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[septima]]></uploaded_by>
        <create_date>2015-10-22T12:42:19.156290+00:00</create_date>
        <update_date>2025-12-10T19:47:01.410388+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Septima/qgis-geosearch/issues]]></tracker>
        <repository><![CDATA[https://github.com/Septima/qgis-geosearch]]></repository>
        <tags><![CDATA[søg,adresse,stednavn,dansk,danmark,matrikel,geodata,dataforsyningen,klimadatastyrelsen]]></tags>
        <downloads>82492</downloads>
        <average_vote>4.702575606064701</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Online Routing Mapper" version="1.2" plugin_id="875">
        <description><![CDATA[Generate routes by using online services (Openrouteservice, GraphHopper ,TomTom, Here, Yandex, Atlas)]]></description>
        <about><![CDATA[Online Routing Mapper uses several web services to determine the shortest or fastest routes. It calculates routes between starting and destination points and visualizes them on QGIS maps, facilitating spatial analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://cbsuygulama.wordpress.com/]]></homepage>
        <file_name>OnlineRoutingMapper.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_NAhlUPR.png</icon>
        <author_name><![CDATA[Mehmet Selim BILGIN, Yunus Emre ONDER]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OnlineRoutingMapper/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[MSBilgin]]></uploaded_by>
        <create_date>2015-11-09T21:27:38.082770+00:00</create_date>
        <update_date>2025-08-21T13:35:50.891392+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MSBilgin/OnlineRoutingMapper/issues]]></tracker>
        <repository><![CDATA[https://github.com/MSBilgin/OnlineRoutingMapper]]></repository>
        <tags><![CDATA[vector,web,analysis,network analysis,network,webservice,shortest path]]></tags>
        <downloads>137240</downloads>
        <average_vote>4.185146433829316</average_vote>
        <rating_votes>108</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Discovery" version="2.5.10" plugin_id="876">
        <description><![CDATA[Provides search / gazetteer functionality in QGIS using PostGIS, MSSQL and Geopackage databases]]></description>
        <about><![CDATA[The Discovery plugin adds search capability to QGIS. Its key features are:
- Connects directly to PostgreSQL / PostGIS / Geopackage / MSSQL (no reliance on web services)
- Auto-completion of results
- Flexible expression-based support for scales
- Can use multiple fields to display result context
- Simple GUI-based configuration]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.lutraconsulting.co.uk/products/discovery/]]></homepage>
        <file_name>Discovery.2.5.10.zip</file_name>
        <icon>/media/packages/2024/discovery_logo_tkP76L0.png</icon>
        <author_name><![CDATA[Lutra Consulting]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Discovery/version/2.5.10/download/</download_url>
        <uploaded_by><![CDATA[rpasiok]]></uploaded_by>
        <create_date>2015-11-16T17:21:43.992944+00:00</create_date>
        <update_date>2024-12-02T08:05:16.130920+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lutraconsulting/qgis-discovery-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lutraconsulting/qgis-discovery-plugin]]></repository>
        <tags><![CDATA[postgis,search,gazetteer]]></tags>
        <downloads>73671</downloads>
        <average_vote>3.5799284014319714</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="First Aid" version="3.2.2" plugin_id="885">
        <description><![CDATA[The must-have tool for Python plugin developers]]></description>
        <about><![CDATA[Provides Python debugger and replaces the default Python error handling in QGIS
with a more sophisticated handler that allows more thorough inspection
of the Python error: browse the frames, view variables, see source code
or even execute Python code within the context of the error.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wonder-sk/qgis-first-aid-plugin]]></homepage>
        <file_name>firstaid.3.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_yEMtgyv.png</icon>
        <author_name><![CDATA[Martin Dobias]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/firstaid/version/3.2.2/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2015-11-22T22:06:26.942857+00:00</create_date>
        <update_date>2026-02-20T00:36:44.931428+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wonder-sk/qgis-first-aid-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/wonder-sk/qgis-first-aid-plugin]]></repository>
        <tags><![CDATA[debug]]></tags>
        <downloads>47666</downloads>
        <average_vote>4.772618804118088</average_vote>
        <rating_votes>44</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Metadata Search" version="2.3.1" plugin_id="895">
        <description><![CDATA[Search for PostGIS tables using metadata]]></description>
        <about><![CDATA[Layer Metadata Search is a plugin used to search GIS metadata. Layer Metadata Search can be used to search data describing the &quot;who, what, where, when and how&quot; of map layers. Layer Metadata Search was developed on behalf of Dartmoor National Park, UK.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lutraconsulting/qgis-geocat-plugin]]></homepage>
        <file_name>LayerMetadataSearch.2.3.1.zip</file_name>
        <icon>/media/packages/2022/icon_UkbOBQI.png</icon>
        <author_name><![CDATA[Lutra Consulting for Dartmoor National Park Authority]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LayerMetadataSearch/version/2.3.1/download/</download_url>
        <uploaded_by><![CDATA[rpasiok]]></uploaded_by>
        <create_date>2015-12-04T17:24:08.451288+00:00</create_date>
        <update_date>2022-06-28T12:35:35.561553+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lutraconsulting/qgis-geocat-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lutraconsulting/qgis-geocat-plugin]]></repository>
        <tags><![CDATA[postgis,search,metadata]]></tags>
        <downloads>40050</downloads>
        <average_vote>3.1997866808879407</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RiverGIS" version="3.0" plugin_id="897">
        <description><![CDATA[RiverGIS is a QGIS plugin that helps you create HEC-RAS flow model.]]></description>
        <about><![CDATA[The functionality is similar to that of HEC-GeoRAS. For data store and spatial operations it needs a PostGIS database.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://rivergis.com]]></homepage>
        <file_name>rivergis.3.0.zip</file_name>
        <icon>/media/packages/2018/rivergis.svg</icon>
        <author_name><![CDATA[RiverGIS Team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rivergis/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[rgroup]]></uploaded_by>
        <create_date>2015-12-07T22:41:34.085498+00:00</create_date>
        <update_date>2018-05-03T13:15:01.985397+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/erpas/rgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/erpas/rgis]]></repository>
        <tags><![CDATA[postgis,flow,flood,hydraulics,2d,hec-ras,model,river,georas]]></tags>
        <downloads>74906</downloads>
        <average_vote>4.421006094672688</average_vote>
        <rating_votes>95</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QMetaTiles" version="1.5" plugin_id="900">
        <description><![CDATA[Generates MetaTiles for export to the LatLonGO mobile solution.]]></description>
        <about><![CDATA[Generate tiles (using metatiling) from your QGIS project. Provides a QGIS export for LatLonGO. Can save metatile files in MapBox and Zip formats. Based on QTiles plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://bitbucket.org/we-do-it/qgis-latlongo-stage-1]]></homepage>
        <file_name>QMetaTiles.1.5.zip</file_name>
        <icon>/media/packages/2019/qmetatiles_jdvTDf4.png</icon>
        <author_name><![CDATA[we-do-IT Development Team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QMetaTiles/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[wedoit]]></uploaded_by>
        <create_date>2015-12-11T04:01:48.489609+00:00</create_date>
        <update_date>2019-07-19T03:25:05.599839+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/we-do-it/qgis-latlongo-stage-1/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/we-do-it/qgis-latlongo-stage-1.git]]></repository>
        <tags><![CDATA[raster,tiles,mbtiles,zip,mapbox,latlongo]]></tags>
        <downloads>63530</downloads>
        <average_vote>3.7115027740117883</average_vote>
        <rating_votes>104</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PostTelemac" version="1.2.1" plugin_id="903">
        <description><![CDATA[Post Treatment for Telemac (and Anuga , HECRAS 2D as experimental)]]></description>
        <about><![CDATA[Post treatment of open Telemac results (and Anuga , HECRAS 2D as experimental). Requires matplotlib, shapely, numpy, scipy, networkx, ffmpeg and opengl libraries.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ArteliaTelemac/PostTelemac/wiki]]></homepage>
        <file_name>PostTelemac.1.2.1.zip</file_name>
        <icon>/media/packages/2021/posttelemac_RuPv3iq.png</icon>
        <author_name><![CDATA[Artelia Eau et Environnement]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PostTelemac/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[ccoulet]]></uploaded_by>
        <create_date>2015-12-16T12:47:15.262212+00:00</create_date>
        <update_date>2021-07-12T07:18:50.772136+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ArteliaTelemac/PostTelemac/issues]]></tracker>
        <repository><![CDATA[https://github.com/ArteliaTelemac/PostTelemac]]></repository>
        <tags><![CDATA[flood,hydraulic modelling,hydraulics,river,Telemac]]></tags>
        <downloads>29862</downloads>
        <average_vote>4.458147577184284</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OSMInfo" version="1.2.2" plugin_id="906">
        <description><![CDATA[Get full information about a point from OpenStreetMap database.]]></description>
        <about><![CDATA[For a selected point, extract all information abour nearby and enclosing features from OpenStreetMap database using Overpass API.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nextgis/osminfo]]></homepage>
        <file_name>osminfo.1.2.2.zip</file_name>
        <icon>/media/packages/2025/osminfo_JxKAFKr.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/osminfo/version/1.2.2/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2015-12-22T04:30:12.217275+00:00</create_date>
        <update_date>2025-11-17T11:20:22.762932+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/osminfo/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/osminfo]]></repository>
        <tags><![CDATA[openstreetmap,osm,overpass]]></tags>
        <downloads>249391</downloads>
        <average_vote>4.649953500464995</average_vote>
        <rating_votes>100</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Place Marker" version="1.3.0" plugin_id="907">
        <description><![CDATA[Place Marker provides a convenient way of adding placemarks to a vector layer.]]></description>
        <about><![CDATA[Place Marker provides a quick and easy way of creating point layers and adding features with preset attributes.
Unlike using the built-in editing tools, the created layer contains the necessary attributes, and newly added features are
committed directly to the data store and should be available immediately on other QGIS instances.
It addresses to usage scenarios where QGIS in conjunction with the &quot;PosiView&quot; plugin serves as an online visualization
and navigation tool, e.g for scientific subsea surveys with remotely operated or autonomous vehicles.
It allows marking and sharing interesting places and events during the dive.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.marum.de/Meerestechnik.html]]></homepage>
        <file_name>PlaceMarker.1.3.0.zip</file_name>
        <icon>/media/packages/2023/icon_3r6Sbcg.png</icon>
        <author_name><![CDATA[Jens Renken (Marum, University of Bremen)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PlaceMarker/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[jrenken]]></uploaded_by>
        <create_date>2015-12-22T11:19:32.971399+00:00</create_date>
        <update_date>2023-07-20T12:05:52.231068+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jrenken/qgis-PlaceMarker/issues]]></tracker>
        <repository><![CDATA[https://github.com/jrenken/qgis-PlaceMarker]]></repository>
        <tags><![CDATA[vector,feature,point]]></tags>
        <downloads>24599</downloads>
        <average_vote>3.3845286018307226</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Minkowski Dimension Calculator" version="3.0" plugin_id="910">
        <description><![CDATA[Plugin calculates Minkowski dimension (also known as Minkowski–Bouligand dimension, box-counting dimension) for features of vector layer.]]></description>
        <about><![CDATA[Minkowski fractal dimension calculation for vector layer features]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ekazakov.me/minkowski-dimension-calculator-qgis-plugin]]></homepage>
        <file_name>minkowskiDimCalculator.3.0.zip</file_name>
        <icon>/media/packages/2025/icon_9zfFfUa.png</icon>
        <author_name><![CDATA[Eduard Kazakov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/minkowskiDimCalculator/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[ekazakov]]></uploaded_by>
        <create_date>2015-12-23T10:29:47.204168+00:00</create_date>
        <update_date>2025-09-17T15:25:09.845648+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/silenteddie/minkowskiDimCalculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/silenteddie/minkowskiDimCalculator]]></repository>
        <tags><![CDATA[vector,minkowski,fractals,box-counting,minkowski-bouligand]]></tags>
        <downloads>7090</downloads>
        <average_vote>4.333126993952669</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Serval" version="3.32.0" plugin_id="913">
        <description><![CDATA[Raster editing tools]]></description>
        <about><![CDATA[Raster editing tools - select and apply a modification to a chosen part of a raster. Features setting a constant value (also NoData), an expression (probing other rasters and interpolation on vector and mesh layers) and applying 3x3 low-pass filter. Multiband rasters are fully supported.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lutraconsulting/serval/blob/master/Serval/docs/user_manual.md]]></homepage>
        <file_name>Serval.3.32.0.zip</file_name>
        <icon>/media/packages/2023/serval_icon.svg</icon>
        <author_name><![CDATA[Radoslaw Pasiok for Lutra Consulting Ltd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Serval/version/3.32.0/download/</download_url>
        <uploaded_by><![CDATA[rpasiok]]></uploaded_by>
        <create_date>2016-01-04T17:42:00.843033+00:00</create_date>
        <update_date>2023-10-18T15:22:59.513142+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lutraconsulting/serval/issues]]></tracker>
        <repository><![CDATA[https://github.com/lutraconsulting/serval]]></repository>
        <tags><![CDATA[selection,raster,filter,select,expression,grid,draw,pixel,value,cell,nodata,band,multiband]]></tags>
        <downloads>76952</downloads>
        <average_vote>4.424486561447534</average_vote>
        <rating_votes>106</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spatial Design Network Analysis" version="4.1.0" plugin_id="915">
        <description><![CDATA[This plugin allows you to use your installation of sDNA from within the QGIS GIS software.]]></description>
        <about><![CDATA[Allows use of the sDNA toolbox from QGIS 3.
sDNA version 4.1 or above must be installed first from http://www.cardiff.ac.uk/sdna

sDNA is a spatial network analysis tool with general applicability, but particularly suited to modelling urban networks.  Standard sDNA currently calculates various measures of network density, gravity models, floating catchment, closeness, betweenness, convex hull and severance statistics.  These can be based on different analysis metrics (Angular, Euclidean, Custom).  Additional tools allow network preparation, statistical learning and prediction based on sDNA models.  Analyses can be weighted or unweighted, and weights can be applied per polyline, link or unit length.

An advanced version called sDNA+ is also available which can use arbitrary metrics from a user formula (hybrid metrics) as well as having presets for pedestrian, cyclist and vehicle use, and the ability to output analysis geometries (network radii, geodesics, convex hulls; one-to-one, one-to-many, one-to-all or all-to-all).  Version 3.1 adds OD Matrix input and Skim Matrix output.

Original development of this plugin was funded by the ESRC Impact Accelerator grant &quot;sDNA for all&quot;.  The principal investigator was Alain Chiaradia and the co-investigator Crispin Cooper, based at Cardiff University department of Geography and Planning and the Sustainable Places Research Institute.

The update to support QGIS 3 was funded by Alain Chiaradia reinvesting revenue from sDNA+. The principal investigator was Crispin Cooper and the software engineer Jeffrey Morgan, based at Cardiff University departments of Geography and Planning, the Sustainable Places Research Institute and Data Innovation Institute.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.cardiff.ac.uk/sdna]]></homepage>
        <file_name>sdna.4.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Jeffrey Morgan, Crispin Cooper, Alain Chiaradia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sdna/version/4.1.0/download/</download_url>
        <uploaded_by><![CDATA[crispincooper]]></uploaded_by>
        <create_date>2016-01-08T17:58:34.336159+00:00</create_date>
        <update_date>2021-02-04T11:49:05.453447+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fiftysevendegreesofrad/sdna_qgis3_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/fiftysevendegreesofrad/sdna_qgis_plugin]]></repository>
        <tags><![CDATA[analysis,network,processing,sdna,urban design options appraisal,evaluation]]></tags>
        <downloads>34348</downloads>
        <average_vote>4.2855918402331366</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CKAN-Browser" version="0.4.0" plugin_id="922">
        <description><![CDATA[Download and display Open Data from CKAN Metadata Servers]]></description>
        <about><![CDATA[Download and display Open Data from CKAN Metadata Servers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BergWerkGIS/QGIS-CKAN-Browser]]></homepage>
        <file_name>CKANBrowser.0.4.0.zip</file_name>
        <icon>/media/packages/2019/icon_dtHQwq5.png</icon>
        <author_name><![CDATA[BergWerkGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CKANBrowser/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[BergWerkGis]]></uploaded_by>
        <create_date>2016-01-27T10:06:06.167260+00:00</create_date>
        <update_date>2019-08-12T18:25:01.144701+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BergWerkGIS/QGIS-CKAN-Browser/issues]]></tracker>
        <repository><![CDATA[https://github.com/BergWerkGIS/QGIS-CKAN-Browser]]></repository>
        <tags><![CDATA[open data,ckan]]></tags>
        <downloads>23413</downloads>
        <average_vote>4.31798554611154</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Azimuth Measurement" version="0.2.2" plugin_id="923">
        <description><![CDATA[Just measure Azimuth when you draw a line]]></description>
        <about><![CDATA[Plugin to display azimuth while drawing]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/webgeodatavore/azimut_measurement]]></homepage>
        <file_name>AzimuthMeasurement.0.2.2.zip</file_name>
        <icon>/media/packages/2019/icon_1sD0TD0.png</icon>
        <author_name><![CDATA[WebGeoDataVore]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AzimuthMeasurement/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[thomasg]]></uploaded_by>
        <create_date>2016-02-03T00:51:50.959632+00:00</create_date>
        <update_date>2019-11-01T20:47:19.805401+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/webgeodatavore/azimut_measurement/issues]]></tracker>
        <repository><![CDATA[http://github.com/webgeodatavore/azimut_measurement]]></repository>
        <tags><![CDATA[azimuth,measure]]></tags>
        <downloads>52208</downloads>
        <average_vote>4.410143329658214</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GBIF Occurrences" version="0.3.4" plugin_id="925">
        <description><![CDATA[Retrieve data from GBIF webservices (occurences API) directly within QGIS.]]></description>
        <about><![CDATA[GBIF Occurrences is a QGIS plugin to directly download and import GBIF occurrence data from the application interface.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BelgianBiodiversityPlatform/qgis-gbif-api]]></homepage>
        <file_name>qgisgbifapi.0.3.4.zip</file_name>
        <icon>/media/packages/2024/icon_EcO1W5z.png</icon>
        <author_name><![CDATA[Nicolas Noé - Belgian Biodiversity Platform]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisgbifapi/version/0.3.4/download/</download_url>
        <uploaded_by><![CDATA[niconoe]]></uploaded_by>
        <create_date>2016-02-03T12:48:01.121920+00:00</create_date>
        <update_date>2024-07-15T09:20:51.373080+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BelgianBiodiversityPlatform/qgis-gbif-api/issues]]></tracker>
        <repository><![CDATA[https://github.com/BelgianBiodiversityPlatform/qgis-gbif-api]]></repository>
        <tags><![CDATA[ecology,webservices,open data,science,api,biodiversity data,occurrence,gbif]]></tags>
        <downloads>70724</downloads>
        <average_vote>4.469629248041696</average_vote>
        <rating_votes>66</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Qlr Browser" version="4.0.0" plugin_id="927">
        <description><![CDATA[This plugin lets the user browse and open qlr files]]></description>
        <about><![CDATA[This plugin enables a layer menu in a nested tree structure based on .qlr files.
The layer tree is nested according to the location in folder/subfolder of the .qlr files.
Development of this plugin has been funded by Haderslev Kommune, Frederikssund Kommune, Ishøj Kommune, Novafos and QGIS Brugergruppe Danmark.
German translation contributed by Stadtwerke München.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Septima/qgis-qlrbrowser]]></homepage>
        <file_name>QlrBrowser.4.0.0.zip</file_name>
        <icon>/media/packages/2025/qlrbrowser_icon_small.png</icon>
        <author_name><![CDATA[Septima]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QlrBrowser/version/4.0.0/download/</download_url>
        <uploaded_by><![CDATA[septima]]></uploaded_by>
        <create_date>2016-02-03T13:48:00.044471+00:00</create_date>
        <update_date>2025-12-08T12:10:48.571499+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Septima/qgis-qlrbrowser/issues]]></tracker>
        <repository><![CDATA[https://github.com/Septima/qgis-qlrbrowser]]></repository>
        <tags><![CDATA[browser,data,danmark,qlr browse,geodata]]></tags>
        <downloads>31760</downloads>
        <average_vote>4.620530326540464</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ImportEpanetInpFiles" version="1.6.6" plugin_id="947">
        <description><![CDATA[IMPORT/EXPORT EPANET INP Files]]></description>
        <about><![CDATA[This tool can be used to IMPORT EPANET INP File to shapefiles and adds them in the QGIS canvas. Also, the shapefiles stored into the _shapefiles_ folder. Can be used to EXPORT EPANET INP File.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mariosmsk.com/2021/10/17/importepanetinpfiles-qgis/]]></homepage>
        <file_name>ImportEpanetInpFiles.1.6.6.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Marios S. Kyriakou, KIOS Research and Innovation Center of Excellence (KIOS CoE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ImportEpanetInpFiles/version/1.6.6/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
        <create_date>2016-03-07T12:57:53.693405+00:00</create_date>
        <update_date>2022-10-25T10:44:53.325651+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KIOS-Research/ImportEpanetInpFiles/issues]]></tracker>
        <repository><![CDATA[https://github.com/KIOS-Research/ImportEpanetInpFiles]]></repository>
        <tags><![CDATA[network,inp,epanet,export,import]]></tags>
        <downloads>39080</downloads>
        <average_vote>4.632558519213894</average_vote>
        <rating_votes>49</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Wincan 2 QGEP" version="1.1.0" plugin_id="955">
        <description><![CDATA[Wincan 2 QGEP allows importing Wincan data into QGEP.]]></description>
        <about><![CDATA[Wincan 2 QGEP allows importing pipe inspection TV data in Wincan format into waste-water network data, such as QGEP. Wincan is a software for the inspection and management of the waste water infrastructure (http://www.wincan.com/). The data respects the EN 13508 norm. You can browse inspection data and review each observation and choose what will be imported. Data will be imported into a QGEP project which has a data model respecting the Swiss-norm VSA-DSS.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgep.github.io/docs/wincan2qgep/index.html]]></homepage>
        <file_name>wincan2qgep.1.1.0.zip</file_name>
        <icon>/media/packages/2020/wincan_logo.png</icon>
        <author_name><![CDATA[Denis Rouzaud]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wincan2qgep/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[3nids]]></uploaded_by>
        <create_date>2016-03-09T09:32:22.169988+00:00</create_date>
        <update_date>2020-06-15T14:04:00.475463+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3nids/wincan2qgep/issues]]></tracker>
        <repository><![CDATA[https://github.com/3nids/wincan2qgep]]></repository>
        <tags><![CDATA[wincan,inspection,wastewater,qgep]]></tags>
        <downloads>17198</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Socrata" version="2.2" plugin_id="956">
        <description><![CDATA[Download maps from Socrata-powered data portals]]></description>
        <about><![CDATA[This is a simple plugin built to facilitate GIS sharing from Socrata sites. It is added to the web menu, as it is pulling from web datasets. This is not a Socrata product.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/socrata/Socrata]]></homepage>
        <file_name>Socrata.2.2.zip</file_name>
        <icon>/media/packages/2020/icon_18gXj5E.png</icon>
        <author_name><![CDATA[Peter Moore]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Socrata/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[petermoore]]></uploaded_by>
        <create_date>2016-03-09T15:48:25.603543+00:00</create_date>
        <update_date>2020-04-12T23:03:41.384502+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/socrata/Socrata/issues]]></tracker>
        <repository><![CDATA[https://github.com/socrata/Socrata]]></repository>
        <tags><![CDATA[web,open,gis,data,open data,socrata,maps]]></tags>
        <downloads>10091</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeODinQGIS" version="3.0.2417.1" plugin_id="957">
        <description><![CDATA[This plugin connects GeODin with QGIS]]></description>
        <about><![CDATA[GeODin is an industry standard software for the collection, interpretation and presentation of geo-information. GeODinQGIS is an additional tool for the work with GeODin. It connects GeODin with QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geodin.com]]></homepage>
        <file_name>GeODinQGIS.3.0.2417.1.zip</file_name>
        <icon>/media/packages/2024/logo_TUe58l9.png</icon>
        <author_name><![CDATA[Fugro Germany Land GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeODinQGIS/version/3.0.2417.1/download/</download_url>
        <uploaded_by><![CDATA[geodinteam]]></uploaded_by>
        <create_date>2016-03-11T11:43:03.089529+00:00</create_date>
        <update_date>2024-07-26T10:19:11.579640+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeODinTeam/GeODinQGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeODinTeam/GeODinQGIS]]></repository>
        <tags><![CDATA[database,analysis,water,geology,hydrogeology,environmental,borehole,civil engineering,monitoring wells,geodin]]></tags>
        <downloads>21400</downloads>
        <average_vote>3.639951467313769</average_vote>
        <rating_votes>75</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Polygons Parallel to Line" version="1.1" plugin_id="966">
        <description><![CDATA[This plugin rotates polygons parallel to lines]]></description>
        <about><![CDATA[This plugin rotates polygons to be parallel to the nearest line segment. It is useful when working with streets and buildings. Before using the plugin, we strongly recommend checking your data for geometric errors. A full description can be found at https://elfpkck.github.io/polygons_parallel_to_line/

Developed by Andrii Liekariev.
Contact me: linkedin.com/in/andrii-liekariev/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://elfpkck.github.io/polygons_parallel_to_line/]]></homepage>
        <file_name>PolygonsParallelToLine.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_6ZJDgNC.png</icon>
        <author_name><![CDATA[Andrii Liekariev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PolygonsParallelToLine/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[elfpkck]]></uploaded_by>
        <create_date>2016-03-21T15:36:53.521722+00:00</create_date>
        <update_date>2025-07-04T07:45:30.802117+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Elfpkck/polygons_parallel_to_line/issues]]></tracker>
        <repository><![CDATA[https://github.com/Elfpkck/polygons_parallel_to_line]]></repository>
        <tags><![CDATA[vector,polygon,line,rotating,parallel]]></tags>
        <downloads>10395</downloads>
        <average_vote>4.464126281204242</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TUFLOW" version="2026.0.2" plugin_id="970">
        <description><![CDATA[A collection of utilities for TUFLOW flood and coastal simulation in QGIS]]></description>
        <about><![CDATA[A collection of utilities for TUFLOW flood and coastal simulation in QGIS.
Includes visualisation of results / inputs
Editing tools
Styling tools]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://wiki.tuflow.com/index.php?title=TUFLOW_QGIS_Plugin]]></homepage>
        <file_name>tuflow.2026.0.2.zip</file_name>
        <icon>/media/packages/2026/tuflow_5BZfrmw.png</icon>
        <author_name><![CDATA[Phillip Ryan, Ellis Symons, Pavlina Monhartova]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tuflow/version/2026.0.2/download/</download_url>
        <uploaded_by><![CDATA[ellissymons]]></uploaded_by>
        <create_date>2016-04-04T04:18:38.091304+00:00</create_date>
        <update_date>2026-04-09T17:48:53.874973+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TUFLOW-Support/QGIS-TUFLOW-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/TUFLOW-Support/QGIS-TUFLOW-Plugin]]></repository>
        <tags><![CDATA[flood,hydraulic modelling,tuflow,mesh,simulation,dat,mdal,xmdf,2dm,arr,australian rainfall &amp; runoff,refh2]]></tags>
        <downloads>164124</downloads>
        <average_vote>4.708801154415767</average_vote>
        <rating_votes>79</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Disconnected Islands" version="2.1.0" plugin_id="971">
        <description><![CDATA[Finds disconnected &quot;islands&quot; in a transport network layer, so that a routing tool will work between all nodes. A tolerance field allows for imperfect topology. Now supports options for vertices.]]></description>
        <about><![CDATA[This plugin runs on a polyline layer, building up a road (or rail, etc.) network graph of connected links. It then analyses connected subgraphs, ones that are connected to each other, but not connected to isolated or floating links. It creates an additional attribute containing the group ID of the subgraph. This can then be used to style the layer with Categorised styles, or Zoom to selection. The disconnected links can then be fixed. &lt;br/&gt;
Version 2.1.0 introduces a new option to only use the start and end vertices of a road link (previously all vertices were considered.) A group ID of -1 (hidden) indicates a second road link with exactly the same start and end vertices as another road link, but probably with different in-between vertices. &lt;br/&gt;
Based on Detlev&#x27;s answer to my question: http://gis.stackexchange.com/questions/184319/how-to-find-disconnected-islands-in-a-road-network-layer-using-qgis &lt;br/&gt;
Sample data to test this plugin can be found:
- in your plugins directory: ...QGIS/QGIS3/profiles/default/python/plugins/disconnected-islands/sample-data/islands.zip
- via GitHub: https://github.com/AfriGIS-South-Africa/disconnected-islands/raw/master/sample-data/islands.zip&lt;br/&gt;
This plugin depends on the NetworkX module.  Mac OS X users need to install it manually, simply by executing, in a Terminal: sudo easy_install networkx.  Then restart QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.afrigis.co.za/?disconnected-islands]]></homepage>
        <file_name>disconnected-islands.2.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_s5wlSRS.png</icon>
        <author_name><![CDATA[Peter Smythe @ AfriGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/disconnected-islands/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[peterafrigis]]></uploaded_by>
        <create_date>2016-04-05T18:08:58.733072+00:00</create_date>
        <update_date>2024-07-10T09:00:42.298828+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AfriGIS-South-Africa/disconnected-islands/issues]]></tracker>
        <repository><![CDATA[https://github.com/AfriGIS-South-Africa/disconnected-islands.git]]></repository>
        <tags><![CDATA[analysis,network analysis,routing,network,polyline,topography,processing]]></tags>
        <downloads>36487</downloads>
        <average_vote>4.657009799720008</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QAD" version="3.0.7" plugin_id="976">
        <description><![CDATA[Quantum Aided Design: cad like commands in QGIS]]></description>
        <about><![CDATA[Quantum Aided Design: cad like commands in QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qadplugin.wordpress.com]]></homepage>
        <file_name>qad.3.0.7.zip</file_name>
        <icon>/media/packages/2025/qad_A9mX615.png</icon>
        <author_name><![CDATA[gam17]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qad/version/3.0.7/download/</download_url>
        <uploaded_by><![CDATA[gam17]]></uploaded_by>
        <create_date>2016-04-13T11:36:28.810797+00:00</create_date>
        <update_date>2025-05-28T12:25:59.490859+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gam17/QAD/issues]]></tracker>
        <repository><![CDATA[https://github.com/gam17/QAD]]></repository>
        <tags><![CDATA[vector,cad,dimensioning,polygon,polyline,digitizing,circle,ellipse,rectangle,snap]]></tags>
        <downloads>255970</downloads>
        <average_vote>4.298230532524448</average_vote>
        <rating_votes>285</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Attribute based clustering" version="3.1" plugin_id="986">
        <description><![CDATA[Clustering for vector layers based on their numeric attributes]]></description>
        <about><![CDATA[Plugin produces clustering for features of vector layer based on unlimited number of attributes using hierarchical or k-means algorithms. Hierarchical algorithm is available in two variations: native realization for known number of clusters and scipy realization for unknown number of clusters. K-means method requieres scipy and known number of clusters. You can define weight for every attribute, if native hierarchical clustering used. Elbow method for estimating optimal number of clusters is available. Also calculating of distances from each object to centroids of each cluster is available.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ekazakov.me/attribute-based-clustering-qgis-plugin]]></homepage>
        <file_name>attributeBasedClustering.3.1.zip</file_name>
        <icon>/media/packages/2025/icon_R94Fx6p.png</icon>
        <author_name><![CDATA[Eduard Kazakov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/attributeBasedClustering/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[ekazakov]]></uploaded_by>
        <create_date>2016-04-27T01:46:32.306565+00:00</create_date>
        <update_date>2025-09-18T14:00:08.903576+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eduard-kazakov/attributeBasedClustering/issues]]></tracker>
        <repository><![CDATA[https://github.com/eduard-kazakov/attributeBasedClustering]]></repository>
        <tags><![CDATA[vector,clustering,attributes]]></tags>
        <downloads>76275</downloads>
        <average_vote>4.698338121617117</average_vote>
        <rating_votes>63</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sort and Number" version="1.0" plugin_id="989">
        <description><![CDATA[This plugin sorts and numbers an attribute table.]]></description>
        <about><![CDATA[This plugin adds a new field to an attribute table, where features are numbered depending on multiple sorting criteria.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ArMoraer/QGISSortAndNumber]]></homepage>
        <file_name>QGISSortAndNumber-master.1.0.zip</file_name>
        <icon>/media/packages/2019/icon_YIZpXhz.png</icon>
        <author_name><![CDATA[Alexandre Delahaye]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGISSortAndNumber-master/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[armoraer]]></uploaded_by>
        <create_date>2016-05-03T16:30:35.586935+00:00</create_date>
        <update_date>2019-04-04T19:01:35.630770+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ArMoraer/QGISSortAndNumber/issues]]></tracker>
        <repository><![CDATA[https://github.com/ArMoraer/QGISSortAndNumber]]></repository>
        <tags><![CDATA[attribute table]]></tags>
        <downloads>32620</downloads>
        <average_vote>4.722091053026305</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Report Plugin" version="1.0.0" plugin_id="991">
        <description><![CDATA[Plugin for fast reporting of issues to the tracker]]></description>
        <about><![CDATA[Plugin for fast reporting of issues to the tracker.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lutraconsulting/qgis-report-plugin]]></homepage>
        <file_name>report.1.0.0.zip</file_name>
        <icon>/media/packages/2019/icon_128.png</icon>
        <author_name><![CDATA[Peter Petrik for Lutra Consulting]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/report/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[sabb]]></uploaded_by>
        <create_date>2016-05-10T13:00:15.910910+00:00</create_date>
        <update_date>2019-05-16T08:41:22.367529+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lutraconsulting/qgis-report-plugin]]></tracker>
        <repository><![CDATA[https://github.com/lutraconsulting/qgis-report-plugin]]></repository>
        <tags><![CDATA[development,report,tracker,github,issue,exception,ticket,bug,error]]></tags>
        <downloads>10444</downloads>
        <average_vote>4.272338878283793</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DevNull" version="1.0" plugin_id="992">
        <description><![CDATA[Dummy plugin to test Python Exceptions]]></description>
        <about><![CDATA[Dummy plugin to test Python Exceptions]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lutraconsulting/qgis-dev-null-plugin]]></homepage>
        <file_name>devnull.1.0.zip</file_name>
        <icon>/media/packages/2019/dev_null.png</icon>
        <author_name><![CDATA[Peter Petrik for Lutra Consulting]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/devnull/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[zilolv]]></uploaded_by>
        <create_date>2016-05-12T10:55:04.716069+00:00</create_date>
        <update_date>2019-05-07T13:10:27.412901+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/lutraconsulting/qgis-dev-null-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lutraconsulting/qgis-dev-null-plugin]]></repository>
        <tags><![CDATA[test,trigger,dummy,exception]]></tags>
        <downloads>4531</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="dzetsaka : AI-Powered Remote Sensing Classification" version="5.0.11" plugin_id="995">
        <description><![CDATA[Next-generation AI for Earth Observation in QGIS with 11 ML algorithms, major runtime optimizations, advanced UX workflows, recipe-driven configuration, and rich report generation.]]></description>
        <about><![CDATA[dzetsaka is a compact AI for Earth Observation plugin for remote sensing classification in QGIS.

Built for fast map production and practical operations:
- 11 production-ready ML classifiers (GMM, RF, SVM, KNN, XGBoost, CatBoost, ET, GBC, LR, NB, MLP)
- Optuna hyperparameter optimization
- SHAP explainability and confidence outputs
- Class-imbalance workflow (SMOTE, class weights, nested CV)
- Guided/compact dashboard for rapid results

2025 trend-aligned focus:
- AI for Earth Observation and Earth Intelligence workflows
- Multimodal EO feature pipelines
- Vision-transformer-ready ecosystem language
- Trustworthy AI: interpretability, uncertainty awareness, and reproducible validation

For documentation and updates: https://github.com/nkarasiak/dzetsaka/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.github.com/nkarasiak/dzetsaka]]></homepage>
        <file_name>dzetsaka.5.0.11.zip</file_name>
        <icon>/media/packages/2026/icon_V3xQVSZ.png</icon>
        <author_name><![CDATA[Nicolas Karasiak]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dzetsaka/version/5.0.11/download/</download_url>
        <uploaded_by><![CDATA[lennepkade]]></uploaded_by>
        <create_date>2016-05-17T21:08:12.022195+00:00</create_date>
        <update_date>2026-04-01T17:40:38.437424+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nkarasiak/dzetsaka/issues]]></tracker>
        <repository><![CDATA[http://www.github.com/nkarasiak/dzetsaka]]></repository>
        <tags><![CDATA[classification,remote sensing,processing,knn,svm,random forest,machine learning,multimodal,earth observation,deep learning,neural network,uncertainty,xgboost,ai for earth observation,open-vocabulary mapping,mlops,vision-language model,reproducibility,bayesian optimization,class imbalance,self-supervised learning,catboost,trustworthy ai,vision transformer,explainability,shap,optuna,smote,nested cross-validation]]></tags>
        <downloads>224212</downloads>
        <average_vote>4.45252224436318</average_vote>
        <rating_votes>137</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Standard Deviational Ellipse" version="3.0.5" plugin_id="998">
        <description><![CDATA[Create a standard deviational ellipse for a set of points]]></description>
        <about><![CDATA[A standard deviational ellipse is produced according to two methods, with variations.  The default method is the on presented by Robert Yuill (1971). This method does not correct for degrees of freedom. The Yuill method does not give a radius equal to the standard distance deviation for a random point distribution (to achieve this, the SDs should be multiplied by sqrt(2), as explained in the CrimeStat documentation). The plugin also offers the CrimeStat / aspace method, where there are corrections for degrees of freedom and with sqrt(2). A polygon vector layer with the standard deviational ellipse is produced, containing the attributes: meanx, meany, majorsd, minorsd, majorangle, directoind and eccentrici as explained in the documentation.  The majorangle is counter-clockwise relative to the first axis. An attribute for weighting can be selected. There are no external library dependencies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[http://arken.nmbu.no/~havatv/gis/qgisplugins/SDEllipse/]]></homepage>
        <file_name>SDEllipse.3.0.5.zip</file_name>
        <icon>/media/packages/2020/sdeicon.png</icon>
        <author_name><![CDATA[Håvard Tveite, NMBU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SDEllipse/version/3.0.5/download/</download_url>
        <uploaded_by><![CDATA[havatv]]></uploaded_by>
        <create_date>2016-05-21T22:53:34.607334+00:00</create_date>
        <update_date>2020-01-26T17:00:50.380809+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/havatv/qgisstandarddeviationalellipseplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/havatv/qgisstandarddeviationalellipseplugin.git]]></repository>
        <tags><![CDATA[statistics,ellipse,deviational,standard deviational ellipse,standard,deviation]]></tags>
        <downloads>34838</downloads>
        <average_vote>4.078840030525512</average_vote>
        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Qgeric" version="1.93" plugin_id="999">
        <description><![CDATA[Graphical queries by drawing simple shapes]]></description>
        <about><![CDATA[Plugin that makes graphical queries by drawing simple shapes (rectangle, circle, buffer, etc.). All visible layers will be queried and the result will be displayed in a simplified attributes table with one tab per layer. This table enables features highlighting, results export (in OpenDocument format or as a memory layer), sorting and simple filters (on numbers, strings or dates by right clicking on a column header).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jeremyk6/qgeric]]></homepage>
        <file_name>qgeric.1.93.zip</file_name>
        <icon>/media/packages/2025/icon_anmEPxq.PNG</icon>
        <author_name><![CDATA[Jérémy Kalsron]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgeric/version/1.93/download/</download_url>
        <uploaded_by><![CDATA[jeremyk6]]></uploaded_by>
        <create_date>2016-05-23T10:57:24.720014+00:00</create_date>
        <update_date>2025-09-16T16:53:57.063899+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jeremyk6/qgeric/issues]]></tracker>
        <repository><![CDATA[https://github.com/jeremyk6/qgeric]]></repository>
        <tags><![CDATA[selection,attribute,fields,table,query,buffer,attributes table]]></tags>
        <downloads>23661</downloads>
        <average_vote>4.666148205754917</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Qdraw" version="3.1" plugin_id="1000">
        <description><![CDATA[Draw simple shapes easily]]></description>
        <about><![CDATA[Plugin that enables drawing simple shapes without the need to manually create a layer. A new memory layer containing the drawing will be automatically created in a &quot;Drawings&quot; group. This plugin enables drawing points (also with coordinates), lines, rectangles, circles, polygons, and buffers of existing features.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jeremyk6/qdraw/]]></homepage>
        <file_name>qdraw.3.1.zip</file_name>
        <icon>/media/packages/2025/icon_QNMl6fw.png</icon>
        <author_name><![CDATA[Jérémy Kalsron]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qdraw/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[jeremyk6]]></uploaded_by>
        <create_date>2016-05-23T12:06:32.461205+00:00</create_date>
        <update_date>2025-04-01T17:33:24.062516+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jeremyk6/qdraw/issues]]></tracker>
        <repository><![CDATA[https://github.com/jeremyk6/qdraw]]></repository>
        <tags><![CDATA[digitizing,buffer,draw]]></tags>
        <downloads>98624</downloads>
        <average_vote>3.3262175445564215</average_vote>
        <rating_votes>141</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VetEpiGIStool" version="0.852" plugin_id="1002">
        <description><![CDATA[QGIS plugin to support animal disease control measures]]></description>
        <about><![CDATA[VetEpiGIStool is a free QGIS tool that helps veterinarian users in the management of spatial data related to animal disease. This plug-in combined the huge amount of GIS functions offered by QGIS with a simple user interface that allows to the user the possibility to manage data without the necessity to define the data model, the data organization model, and the data presentation, because these issues are pre-organised in the “piece” of software specifically developed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://izsvenezie.github.io/VetEpiGIS-Tool/]]></homepage>
        <file_name>VetEpiGIS-Tool.0.852.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Paola Bonato,Matteo Mazzucato,Norbert Solymosi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VetEpiGIS-Tool/version/0.852/download/</download_url>
        <uploaded_by><![CDATA[mmazzucato]]></uploaded_by>
        <create_date>2016-05-24T12:19:12.673668+00:00</create_date>
        <update_date>2018-11-15T14:17:43.157077+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IZSVenezie/VetEpiGIS-Tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/IZSVenezie/VetEpiGIS-Tool]]></repository>
        <tags><![CDATA[management,print template,zones,outbreaks,veterinary,diseases,buffers]]></tags>
        <downloads>7832</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NextGIS Connect" version="3.5.0" plugin_id="1009">
        <description><![CDATA[Turn QGIS into a collaborative GIS workspace. Publish projects, edit shared data, and sync in real time with NextGIS Web.]]></description>
        <about><![CDATA[NextGIS Connect transforms QGIS into a multi-user, server-backed GIS environment integrated with NextGIS Web.
With NextGIS Connect you can:
- Publish QGIS projects to NextGIS Web while preserving layer structure, data sources, and styles.
- Deploy ready-to-work QGIS projects from resources hosted in NextGIS Web.
- Edit server-side data using standard QGIS editing tools.
- Multiple users can edit the same layers from different QGIS installations.
- See teammates’ edits as they happen and keep QGIS in sync with the server.
- Detect and resolve edit conflicts to avoid accidental data loss.
- Manage NextGIS Web resources from QGIS (create/rename/delete/organize).
- Update Web Map styles from QGIS to keep cartography consistent.
- Search/filter NextGIS Web resources by attributes like name, type, owner, etc.

Create your own cloud instance of NextGIS Web: https://nextgis.com/pricing-base/
NextGIS Web on-premise: https://nextgis.com/pricing/
NextGIS Web GitHub: https://github.com/nextgis/nextgisweb

Contact us: nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nextgis/nextgis_connect]]></homepage>
        <file_name>nextgis_connect.3.5.0.zip</file_name>
        <icon>/media/packages/2026/connect_logo_Wkis5xr.svg</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nextgis_connect/version/3.5.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2016-05-26T07:15:05.384952+00:00</create_date>
        <update_date>2026-03-24T16:31:16.358779+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/nextgis_connect/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/nextgis_connect]]></repository>
        <tags><![CDATA[web,server,tool,nextgis]]></tags>
        <downloads>119890</downloads>
        <average_vote>4.648886713971128</average_vote>
        <rating_votes>94</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CAIGOS Konnektor" version="1.3.1" plugin_id="1021">
        <description><![CDATA[CAIGOS SQL Projekte anzeigen]]></description>
        <about><![CDATA[Remark:
CAIGOS-GIS is a German-speaking product. Thatswhy the plugin is only available in German language.
.
Ab CAIGOS Version 2015 werden die Projektdaten in einer SQL-Datenbank gespeichert. Bevorzugte Umgebung ist dabei PostgreSQL mit PostGIS. Damit bietet sich die technische Möglichkeit die Geodaten ohne Konvertierung direkt in QGIS einzubinden. Der Schwerpunkt liegt dabei auf der Präsentation der Daten. Der große Vorteil der direkten Einbindung ist dabei die (fast) komplette Übernahme der Darstellung der einzelnen Ebenen. Dabei werden sowohl Punktsymbole, Ebenenprioritäten, Individualattribute als auch maßstabsabhängige Darstellungen übernommen. Selbstverständlich ist auch eine Übernahme von Fachschalendaten bzw. GISDB Tabellen möglich. Für die Darstellung in QGIS wird Projektstruktur mit Fachschalen/Themen/Gruppen und Ebenen 1:1 übernommen.
.
Bedienung:
Nach Einbinden des PlugIns sind die Funktionen unter dem Menüpunkt &quot;Datenbank&quot; --&gt; &quot;CAIGOS-Datenprovider&quot; verfügbar.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.makobo.de/links/Forum_CaigosConnector.php]]></homepage>
        <file_name>CaigosConnector.1.3.1.zip</file_name>
        <icon>/media/packages/2023/icon_b64OqgK.png</icon>
        <author_name><![CDATA[EZUSoft]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CaigosConnector/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[ezusoft]]></uploaded_by>
        <create_date>2016-06-01T18:27:47.677110+00:00</create_date>
        <update_date>2026-03-16T10:10:47.185295+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EZUSoft/CaigosConnector/issues]]></tracker>
        <repository><![CDATA[https://github.com/EZUSoft/CaigosConnector]]></repository>
        <tags><![CDATA[import,datenprovider,caigos]]></tags>
        <downloads>15211</downloads>
        <average_vote>4.782400765184122</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Freehand raster georeferencer" version="0.8.3" plugin_id="1032">
        <description><![CDATA[Interactive georeferencing of rasters]]></description>
        <about><![CDATA[Tools to georeference a raster interactively (move, rotate, scale, export...)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://gvellut.github.io/FreehandRasterGeoreferencer/]]></homepage>
        <file_name>FreehandRasterGeoreferencer.0.8.3.zip</file_name>
        <icon>/media/packages/2021/icon_oer3R9B.png</icon>
        <author_name><![CDATA[Guilhem Vellut]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FreehandRasterGeoreferencer/version/0.8.3/download/</download_url>
        <uploaded_by><![CDATA[ju420xt5z]]></uploaded_by>
        <create_date>2016-06-07T06:55:27.777113+00:00</create_date>
        <update_date>2021-02-15T15:34:54.943160+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gvellut/FreehandRasterGeoreferencer/issues]]></tracker>
        <repository><![CDATA[https://github.com/gvellut/FreehandRasterGeoreferencer]]></repository>
        <tags><![CDATA[raster,georeferencing]]></tags>
        <downloads>656188</downloads>
        <average_vote>4.275116515458788</average_vote>
        <rating_votes>607</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lat Lon Tools" version="3.7.5" plugin_id="1035">
        <description><![CDATA[Tools to capture and zoom to coordinates using decimal, DMS, WKT, GeoJSON, MGRS, UTM, UPS, Geohash, H3, Maidenhead grid, Plus Codes, and ECEF formats. Provides external map support, point digitizing tools, coordinate conversion tools, and conversion functions.]]></description>
        <about><![CDATA[Lat Lon Tools makes it easy to capture, zoom to coordinates, and interact with other on-line mapping tools. It adds MGRS, Standard UTM, and Plus Codes support to QGIS. When working with Google Earth, Google Maps or other on-line mapping tools, coordinates are specified in the order of &#x27;Latitude, Longitude&#x27;. By default Lat Lon Tools uses the standard Google Map format, but is very flexible and can use virtually any projection and coordinate format for input and output. The plugin has the following tools.
1) Capture/Display coordinates to the clipboard (in any projection) when the user clicks on the map. This includes DMS, UTM, UPS, Geohash, MGRS, H3, Maidenhead grid, and Plus Codes.
2) Capture the bounding box of the canvas.
3) Zoom to and highlight a point on the map using coordinates from any projection, including MGRS, UTM, UPS, Geohash, H3, Maidenhead grid, and Plus Codes, and can format the coordinates in decimal, DMS, WKT POINT, or GeoJSON notation.
4) Digitizing service to add points to a layer. It supports all the &quot;Zoom to&quot; input formats.
5) Launch and display an external map based on the coordinate clicked on. Supported maps include Open Street Map, Google, Bing, MapQuest, Mapillary, and Google Earth.
6) Use a list of points for rapid zooming created from a file, direct input, or captured from the map. Create a point layer from these locations.
7) MGRS conversion routines that converts a layer with an MGRS field into a point layer, and creates an MGRS field from the point layer.
8) Plus Code conversion routines that converts a layer with a Plus Code field into a point layer, and creates an Plus Code field from the point layer.
9) Convert a point layer geometry into a textual representation of that geometry within a field.
10) Convert a layer containing a coordinate field or fields into a point layer.
11) Convert a layer&#x27;s geometry into a WTK, EWTK, or JSON string of its geometry and adding it to a new attribute field. Convert an attribute field containing WKT coordinates into new layers.
12) Coordinate conversion dialog.
13) Conversion functions for the field calculator.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-latlontools-plugin/#readme]]></homepage>
        <file_name>latlontools.3.7.5.zip</file_name>
        <icon>/media/packages/2026/icon_K8xnP5t.png</icon>
        <author_name><![CDATA[Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/latlontools/version/3.7.5/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2016-06-09T19:44:02.842728+00:00</create_date>
        <update_date>2026-03-18T14:22:41.410358+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-latlontools-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-latlontools-plugin]]></repository>
        <tags><![CDATA[wkt,bounding box,point,canvas,capture,openstreetmap,osm,google,digitizing,bing,crs,zoom,expression,processing,google earth,coordinate,conversion,geojson,functions,function,json,utm,ewkt,latitude,longitude,epsg:4326,dms,move to,mgrs,4326,mapillary,digitize,wgs84,plus codes,geohash,amateur radio grid,maidenhead grid,ups,ecef,earth-centered,earth-fixed,h3,usng]]></tags>
        <downloads>1691300</downloads>
        <average_vote>4.618245234408534</average_vote>
        <rating_votes>1074</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Groundwater Vulnerability" version="2.0" plugin_id="1038">
        <description><![CDATA[Groundwater Vulnerability Mapping (GLA method)]]></description>
        <about><![CDATA[The concept of groundwater vulnerability describes the vulnerability of an aquifer to contamination. Several score system models exist to calculate this vulnerability, for example DRASTIC, GLA, EPIK, GOD and PI. Version 2.0 of this plugin includes the German GLA method. It uses maps of available water capacity, annual percolation rate and aquifer covering lithology to calculate the protective function of an aquifer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://plugins.qgis.org/plugins/GroundwaterVulnerability/]]></homepage>
        <file_name>GroundwaterVulnerability.2.0.zip</file_name>
        <icon>/media/packages/2019/gla.png</icon>
        <author_name><![CDATA[Christian Böhnke]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GroundwaterVulnerability/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[cboehnke]]></uploaded_by>
        <create_date>2016-06-17T09:32:55.600647+00:00</create_date>
        <update_date>2019-06-21T09:46:49.760847+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BoehnkeC/GroundwaterVulnerability/issues]]></tracker>
        <repository><![CDATA[https://github.com/BoehnkeC/GroundwaterVulnerability]]></repository>
        <tags><![CDATA[python,groundwater,vulnerability,aquifer]]></tags>
        <downloads>16358</downloads>
        <average_vote>4.399706686220918</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QEsg" version="3.2.5" plugin_id="1042">
        <description><![CDATA[Sanitary Sewage System Networks Design]]></description>
        <about><![CDATA[Sanitary Sewage System Networks Design
Used Libraries:
-Qt matplotlib
-ezdxf (Embedded) from Manfred Moitzi
&lt;p&gt;If this plugin is useful for you, consider to donate to the author.&lt;/p&gt;
&lt;a href=&quot;https://www.paypal.com/cgi-bin/webscr?cmd=_donations&amp;business=G5ERSTGG4U426&amp;lc=BR&amp;item_name=Jorge+Almerio/Qgis+QEsg+plugin&amp;item_number=QEsg&amp;currency_code=BRL&amp;bn=PP-DonationsBF:btn_donateCC_LG.gif:NonHosted&quot; target=&quot;_blank&quot;&gt;
&lt;img border=&quot;0&quot; alt=&quot;Donate&quot; src=&quot;https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif&quot;&gt;
&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jorgealmerio/QEsg/blob/master/README.md]]></homepage>
        <file_name>QEsg.3.2.5.zip</file_name>
        <icon>/media/packages/2026/qesg_icon.png</icon>
        <author_name><![CDATA[Jorge Almerio]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QEsg/version/3.2.5/download/</download_url>
        <uploaded_by><![CDATA[jorgealmerio]]></uploaded_by>
        <create_date>2016-06-21T20:30:54.356893+00:00</create_date>
        <update_date>2026-01-14T11:58:16.562814+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jorgealmerio/QEsg/issues]]></tracker>
        <repository><![CDATA[https://github.com/jorgealmerio/QEsg]]></repository>
        <tags><![CDATA[flow,network,hydraulics,network design,sewerage,waste water,sewer,sanitary,sewage,sancad]]></tags>
        <downloads>36344</downloads>
        <average_vote>4.599868575183566</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Gimp Selection Feature" version="1.6" plugin_id="1044">
        <description><![CDATA[Plugin for adding selected area in GIMP how a feature in polygon layer.]]></description>
        <about><![CDATA[This plugin create a polygon layer, where, yours feature can come from selected area in GIMP.
This plugin is developed on the demand of IBAMA(Brazilian Institute of Environment and Renewable Natural Resources)
http://www.ibama.gov.br
Tested with GIMP 2.10.22(Ubuntu)]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/gimpselectionfeature_plugin/wiki]]></homepage>
        <file_name>gimpselectionfeature_plugin.1.6.zip</file_name>
        <icon>/media/packages/2020/gimpselectionfeature.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gimpselectionfeature_plugin/version/1.6/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2016-06-24T17:40:07.718322+00:00</create_date>
        <update_date>2020-10-12T21:14:40.767358+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/gimpselectionfeature_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/gimpselectionfeature_plugin]]></repository>
        <tags><![CDATA[raster,ibama,gimp]]></tags>
        <downloads>31276</downloads>
        <average_vote>4.515014696524348</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS GML Application Schema Toolbox" version="1.3.1" plugin_id="1046">
        <description><![CDATA[Consumption and use of GML complex features like INSPIRE harmonised data (vector), GeoSciML within QGIS]]></description>
        <about><![CDATA[This plugins allows to import Complex Features streams in QGIS either through a native XML mode or through a conversion to a relational database model.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://brgm.github.io/gml_application_schema_toolbox/]]></homepage>
        <file_name>gml_application_schema_toolbox.1.3.1.zip</file_name>
        <icon>/media/packages/2022/mActionAddGMLLayer_QPe9Auf.svg</icon>
        <author_name><![CDATA[BRGM, Oslandia, Copernicus, Camptocamp, Spatialys, titellus]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gml_application_schema_toolbox/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2016-06-27T14:17:30.186023+00:00</create_date>
        <update_date>2021-03-08T06:43:49.936845+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BRGM/gml_application_schema_toolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/BRGM/gml_application_schema_toolbox]]></repository>
        <tags><![CDATA[inspire,gml,application schema,waterml,complex features,geosciml,gmlas]]></tags>
        <downloads>58317</downloads>
        <average_vote>4.159958400415996</average_vote>
        <rating_votes>100</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Pghydro Tools" version="3.2" plugin_id="1047">
        <description><![CDATA[PgHydro Tools Interface for PgHydro Extension for PostgreSQL/PostGIS]]></description>
        <about><![CDATA[QGIS PgHydroTools Plugin is an interface used in QGIS to activate all functionality of PgHydro Extension for PostgreSQL/PostGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.github.com/pghydro/pghydrotools/wiki]]></homepage>
        <file_name>PghydroTools.3.2.zip</file_name>
        <icon>/media/packages/2021/icon_0ds4dO3.png</icon>
        <author_name><![CDATA[PgHydro Team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PghydroTools/version/3.2/download/</download_url>
        <uploaded_by><![CDATA[pghydro]]></uploaded_by>
        <create_date>2016-06-28T18:02:48.213967+00:00</create_date>
        <update_date>2021-04-02T01:47:42.070959+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://www.github.com/pghydro/pghydrotools/issues]]></tracker>
        <repository><![CDATA[https://www.github.com/pghydro/pghydrotools]]></repository>
        <tags><![CDATA[hydrology,drainage,otto pfafstetter,spatial database system,hydrography,hydro]]></tags>
        <downloads>14781</downloads>
        <average_vote>4.631335192884585</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AnotherDXFImporter" version="1.4.3" plugin_id="1048">
        <description><![CDATA[Add DXF to QGIS , optional georeferencing, optional convert DXF to Shape/GeoPackage]]></description>
        <about><![CDATA[Features:
- Other elements than the standard import are displayed
- Display of text (Labeling)
- Categorization by Layer
- Group by Layer
- Separate representation by layers possible
- support (ESRI) World files for CAD datasets
- support georeferencing]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://gis.makobo.de/en_qgis-dxfimport-dxf2shape/]]></homepage>
        <file_name>AnotherDXF2Shape.1.4.3.zip</file_name>
        <icon>/media/packages/2024/icon_XBh3Z9j.png</icon>
        <author_name><![CDATA[EZUSoft]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AnotherDXF2Shape/version/1.4.3/download/</download_url>
        <uploaded_by><![CDATA[ezusoft]]></uploaded_by>
        <create_date>2016-06-28T19:32:37.944790+00:00</create_date>
        <update_date>2026-03-24T13:43:43.993616+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EZUSoft/AnotherDXF2Shape/issues]]></tracker>
        <repository><![CDATA[https://github.com/EZUSoft/AnotherDXF2Shape]]></repository>
        <tags><![CDATA[shape,import,convert,dxf,geopackage]]></tags>
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        <average_vote>4.286077989296616</average_vote>
        <rating_votes>381</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LM Open Data WMTS" version="0.4.2" plugin_id="1050">
        <description><![CDATA[Swedish National Land Survey Open WMTS layers]]></description>
        <about><![CDATA[With the new National Land Survey API this plugin is no longer needed. Refer to https://lantmateriet.se for more information.

This plugin makes it easy to add &lt;b&gt;Swedish National Land Survey&lt;/b&gt; WMTS layers to your QGIS project. You will need a National Land Survey &lt;i&gt;&quot;token&quot;&lt;/i&gt; key which you can get at &lt;a href=&quot;https://opendata.lantmateriet.se/#register&quot;&gt;https://opendata.lantmateriet.se/#register&lt;/a&gt;.&lt;br&gt;&lt;br&gt;Map layers are Open Source Licensed with &lt;i&gt;CC 0&lt;/i&gt; (&lt;a href=&quot;http://www.lantmateriet.se/sv/Kartor-och-geografisk-information/Kartor/oppna-data/villkor/&quot;&gt;License&lt;/a&gt;).&lt;br&gt;&lt;br&gt;The National Land Survey do &lt;u&gt;not&lt;/u&gt; support this plugin!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/klakar/lmOpenData]]></homepage>
        <file_name>LmOpenData.0.4.2.zip</file_name>
        <icon>/media/packages/2017/lm_WuNDV5D.png</icon>
        <author_name><![CDATA[Klas Karlsson]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LmOpenData/version/0.4.2/download/</download_url>
        <uploaded_by><![CDATA[klakar]]></uploaded_by>
        <create_date>2016-07-02T10:42:49.153695+00:00</create_date>
        <update_date>2017-08-18T09:03:09.137486+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/klakar/lmOpenData]]></tracker>
        <repository><![CDATA[https://github.com/klakar/lmOpenData]]></repository>
        <tags><![CDATA[open data,sweden,sverige,lantmäteriet]]></tags>
        <downloads>24924</downloads>
        <average_vote>4.045270669515022</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Projestions" version="1.0.1" plugin_id="1052">
        <description><![CDATA[Projestions: projection suggestions]]></description>
        <about><![CDATA[Projestions (projection + suggestions) for your active map layer or project using the EPSG area of use data. Select which geometry to send to the API for projestions, then the top suggestions are displayed. Select one of the suggested projections to set your project&#x27;s projection.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://projest.io/ns/]]></homepage>
        <file_name>Projestions.1.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_iWAgV8S.png</icon>
        <author_name><![CDATA[Eric Brelsford]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Projestions/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[ebrelsford]]></uploaded_by>
        <create_date>2016-07-09T18:17:31.842205+00:00</create_date>
        <update_date>2019-12-30T15:20:38.515451+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/ebrelsford/qgis-projestions/issues]]></tracker>
        <repository><![CDATA[http://github.com/ebrelsford/qgis-projestions]]></repository>
        <tags><![CDATA[crs,projection]]></tags>
        <downloads>28595</downloads>
        <average_vote>4.7497031435535275</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Isogeo" version="3.7.0" plugin_id="1066">
        <description><![CDATA[Isogeo search engine within QGIS]]></description>
        <about><![CDATA[Ce plugin facilite l&#x27;accès aux données géographiques. Il s&#x27;agit d&#x27;un moteur de recherche de métadonnées géographiques reposant sur l&#x27;API d&#x27;&lt;a href=&quot;https://www.isogeo.com/&quot;&gt;Isogeo&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://help.isogeo.com/doc-plugin-qgis/]]></homepage>
        <file_name>isogeo_search_engine.3.7.0.zip</file_name>
        <icon>/media/packages/2025/icon_umEmxjN.png</icon>
        <author_name><![CDATA[Isogeo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/isogeo_search_engine/version/3.7.0/download/</download_url>
        <uploaded_by><![CDATA[isogeoqgis]]></uploaded_by>
        <create_date>2016-07-18T16:54:52.528338+00:00</create_date>
        <update_date>2025-06-12T10:34:18.062924+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/isogeo/isogeo-plugin-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/isogeo/isogeo-plugin-qgis]]></repository>
        <tags><![CDATA[search,inspire,webservices,metadata,catalog,open data,explore,rest api]]></tags>
        <downloads>39736</downloads>
        <average_vote>4.627799353503407</average_vote>
        <rating_votes>43</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="D3 Data Visualization" version="3.1.2" plugin_id="1077">
        <description><![CDATA[D3 Date and Time Heatmap &amp; optional word cloud visualization.]]></description>
        <about><![CDATA[This plugin creates a D3 circular histogram heatmap from date and time fields in the data. It outputs an interactive web page. If the Python wordcloud library is installed in QGIS and the Python pillow library fixed, then it can also generate word clouds from all of the string values from an attribute field or from a .txt file.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-d3datavis-plugin]]></homepage>
        <file_name>d3datavis.3.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_O2Ud9CE.png</icon>
        <author_name><![CDATA[Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/d3datavis/version/3.1.2/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2016-08-09T19:40:08.877343+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-d3datavis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-d3datavis-plugin]]></repository>
        <tags><![CDATA[html,time,d3,date,visualization,heatmap,heat map,word cloud,wordcloud]]></tags>
        <downloads>81328</downloads>
        <average_vote>4.555483246297678</average_vote>
        <rating_votes>63</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Resource Sharing" version="1.2.0" plugin_id="1079">
        <description><![CDATA[Download shared collections]]></description>
        <about><![CDATA[Search for published collections and install them for use with QGIS. Symbology (SVG, images, styles), Processing scripts, Processing models, R scripts and checklists are supported. There are several options for repositories: Github, Bitbucket, local file system and HTTP(S).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.6</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis-contribution.github.io/QGIS-ResourceSharing/]]></homepage>
        <file_name>qgis_resource_sharing.1.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_oqzNoJk.png</icon>
        <author_name><![CDATA[Akbar Gumbira, Håvard Tveite, Julien Moura]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_resource_sharing/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[geojulien]]></uploaded_by>
        <create_date>2016-08-15T23:01:54.640764+00:00</create_date>
        <update_date>2025-01-06T18:05:53.410588+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/QGIS-Contribution/QGIS-ResourceSharing/issues/]]></tracker>
        <repository><![CDATA[https://github.com/QGIS-Contribution/QGIS-ResourceSharing/]]></repository>
        <tags><![CDATA[svg,python,map,style,r,processing,model,script,design,symbol,repository,collection,sharing,checklist,algorithm,resources]]></tags>
        <downloads>353922</downloads>
        <average_vote>4.367693418415164</average_vote>
        <rating_votes>223</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QField Sync" version="v4.19.0" plugin_id="1083">
        <description><![CDATA[Sync your projects to QField]]></description>
        <about><![CDATA[This plugin facilitates packaging QGIS projects for QField.&lt;br&gt;
It analyses the current project and suggests (and performs) actions needed to make the project working on QField.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.qfield.org/get-started/]]></homepage>
        <file_name>qfieldsync.v4.19.0.zip</file_name>
        <icon>/media/packages/2026/icon_MjuLG2U.png</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qfieldsync/version/v4.19.0/download/</download_url>
        <uploaded_by><![CDATA[mkuhn]]></uploaded_by>
        <create_date>2016-08-18T09:42:47.947561+00:00</create_date>
        <update_date>2026-04-14T10:02:42.116622+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/QFieldSync/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/QFieldSync]]></repository>
        <tags><![CDATA[cloud,mobile,field,gps,synchronization,windows,qfield,android,offline,qfieldsync,gnss,fieldwork,qfieldcloud,sensors,tablet,linux,simple,ios,collaborative,smartphone]]></tags>
        <downloads>1229311</downloads>
        <average_vote>4.34598544868432</average_vote>
        <rating_votes>711</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Connect Points" version="0.5.0" plugin_id="1084">
        <description><![CDATA[Connects the dots between the two layers using a link field.]]></description>
        <about><![CDATA[Create lines connecting two point layers using common IDs. Workflow: 1. Choose layer FROM, 2. Chooser layer TO, 3. Choose ID field in layer FROM (for attributing resulting lines), 4. Choose ID field in layer FROM with IDs representing layer TO features, 5. Choose ID field in layer TO., 6. Run the tool.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nextgis/qgis_connect_points]]></homepage>
        <file_name>connect_points.0.5.0.zip</file_name>
        <icon>/media/packages/2024/connect_points_zLZNCTu.svg</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/connect_points/version/0.5.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2016-08-18T15:15:38.777378+00:00</create_date>
        <update_date>2024-11-19T15:09:25.670760+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_connect_points/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_connect_points]]></repository>
        <tags><![CDATA[vector,points]]></tags>
        <downloads>28711</downloads>
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        <rating_votes>43</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VetEpiGISgroup" version="0.801" plugin_id="1088">
        <description><![CDATA[QGIS plugin to support animal disease control measures]]></description>
        <about><![CDATA[VetEpiGIS-Group is a part of VetEpiGIS plugin family helping veterinarian collaboration in the management of spatial data related to animal disease. It provides a set of functionalities to import/export and share data with other users, by allowing the creation of a working team (this would be based on SQLite db and/or Geoserver).
** General **
0.801:
- Fixed bug on &#x27;copy selected feature in working database&#x27;;
0.800:
- Fixed crash when values contains apostrophe;
- Update: Modify setup Working database tool;
- Update: Split tool in &#x27;setup working database&#x27; and &#x27;load working database&#x27;;
- Updated &#x27;Merging database&#x27; UI;
- Enabled checkbox to update existing features;
- Added Tool that copy selected feature in working database;]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://izsvenezie.github.io/VetEpiGIS-Group/]]></homepage>
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        <icon></icon>
        <author_name><![CDATA[Paola Bonato,Matteo Mazzucato,Norbert Solymosi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VetEpiGIS-Group/version/0.801/download/</download_url>
        <uploaded_by><![CDATA[mmazzucato]]></uploaded_by>
        <create_date>2016-08-24T11:04:30.556168+00:00</create_date>
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        <experimental>False</experimental>
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        <tracker><![CDATA[https://github.com/IZSVenezie/VetEpiGIS-Group/issues]]></tracker>
        <repository><![CDATA[https://github.com/IZSVenezie/VetEpiGIS-Group]]></repository>
        <tags><![CDATA[postgis,spatialite,database,merge,management,veterinary,diseases,vetepigistool]]></tags>
        <downloads>4535</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="POI Exporter" version="3.0.6" plugin_id="1093">
        <description><![CDATA[Export CSV or GPX Points of Interest (POI)]]></description>
        <about><![CDATA[This plugin creates Points of Interest (POI) from a vector points layer. It supports Garmin CSV and GPX output formats. It allows the user to select a category column to be used to create separate files containing points from that category. The user can also select columns to be used for the POI name and description. The plugin can be found in &quot;Vector-&gt;GPS-&gt;POI Exporter&quot;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-poiexport-plugin]]></homepage>
        <file_name>poiexport.3.0.6.zip</file_name>
        <icon>/media/packages/2026/icon_59EZYOR.png</icon>
        <author_name><![CDATA[Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/poiexport/version/3.0.6/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2016-08-30T16:57:17.903510+00:00</create_date>
        <update_date>2026-03-13T19:58:50.536731+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-poiexport-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-poiexport-plugin]]></repository>
        <tags><![CDATA[vector,points,gps,poi,garmin,points of interest,basecamp]]></tags>
        <downloads>58291</downloads>
        <average_vote>4.771292248792892</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Gban" version="1.1" plugin_id="1094">
        <description><![CDATA[Plugin that enables geocoding/reverse geocoding in France using the BAN API.]]></description>
        <about><![CDATA[GBAN is a plugin for QGis that enables geocoding/reverse geocoding in France using the BAN API (https://adresse.data.gouv.fr/api/).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jeremyk6/gban]]></homepage>
        <file_name>gban.1.1.zip</file_name>
        <icon>/media/packages/2016/icon_dXNdnVk.png</icon>
        <author_name><![CDATA[Jérémy Kalsron]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gban/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[jeremyk6]]></uploaded_by>
        <create_date>2016-08-31T11:45:31.758008+00:00</create_date>
        <update_date>2019-05-28T15:50:07.890104+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jeremyk6/gban/issues]]></tracker>
        <repository><![CDATA[https://github.com/jeremyk6/gban]]></repository>
        <tags><![CDATA[geocoding,reverse geocoding]]></tags>
        <downloads>17060</downloads>
        <average_vote>4.411505205576142</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AnnotationManager" version="0.5" plugin_id="1095">
        <description><![CDATA[Panel to manage annnotations]]></description>
        <about><![CDATA[Dock similar to the layer manager that enables to individually show or hide text annotations. Annotations names are based on their content for text annotations and a generic &quot;Annotation&quot; for other types.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jeremyk6/annotationManager]]></homepage>
        <file_name>annotationManager.0.5.zip</file_name>
        <icon>/media/packages/2016/icon_v1fkA5X.png</icon>
        <author_name><![CDATA[Jérémy Kalsron]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/annotationManager/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[jeremyk6]]></uploaded_by>
        <create_date>2016-08-31T11:51:01.272807+00:00</create_date>
        <update_date>2019-05-27T15:12:52.802130+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jeremyk6/annotationManager/issues]]></tracker>
        <repository><![CDATA[https://github.com/jeremyk6/annotationManager]]></repository>
        <tags><![CDATA[annnotations]]></tags>
        <downloads>32217</downloads>
        <average_vote>3.79974668355443</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Table to Style" version="2.1" plugin_id="1099">
        <description><![CDATA[Reads an attribute table (usually in dbf or text format) with pixel value information and attributes and creates a new style for raster display.]]></description>
        <about><![CDATA[The Table2Style links an attribute table with pixel value colour information with a pixel value of a raster, displaying the raster as intended. The colour information is the red, green and blue values (from 0 to 1 or 0 to 255) and, optionally, the opacity. The plugin also creates a random color scheme for each pixel value, if no file is available. A simple example data set is provided.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ptarroso/table2style]]></homepage>
        <file_name>table2style.2.1.zip</file_name>
        <icon>/media/packages/2020/icon_lCW43Bh.png</icon>
        <author_name><![CDATA[Pedro Tarroso]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/table2style/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[ptg]]></uploaded_by>
        <create_date>2016-09-07T14:27:42.732956+00:00</create_date>
        <update_date>2020-05-27T08:29:10.959982+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ptarroso/table2style/issues]]></tracker>
        <repository><![CDATA[https://github.com/ptarroso/table2style]]></repository>
        <tags><![CDATA[raster,style,attribute table,table]]></tags>
        <downloads>18949</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AequilibraE" version="0.8.9" plugin_id="1102">
        <description><![CDATA[Transportation modeling toolbox for QGIS]]></description>
        <about><![CDATA[THIS PLUGIN HAS BEEN DEPRECATED.  LOOK FOR QAequilibraE.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.aequilibrae.com/qgis]]></homepage>
        <file_name>AequilibraE.0.8.9.zip</file_name>
        <icon>/media/packages/2023/icon_gS4E4Eb.png</icon>
        <author_name><![CDATA[Pedro Camargo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AequilibraE/version/0.8.9/download/</download_url>
        <uploaded_by><![CDATA[pcamargo]]></uploaded_by>
        <create_date>2016-09-12T05:52:14.997504+00:00</create_date>
        <update_date>2023-05-05T12:17:16.653168+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/aequilibrae/QAequilibraE/issues]]></tracker>
        <repository><![CDATA[https://github.com/aequilibrae/aequilibrae-GUI]]></repository>
        <tags><![CDATA[deprecated]]></tags>
        <downloads>57430</downloads>
        <average_vote>4.392349463930836</average_vote>
        <rating_votes>79</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LinzSnap" version="1.7" plugin_id="1103">
        <description><![CDATA[Plugin for displaying results from the LINZ SNAP program]]></description>
        <about><![CDATA[Draws observations, stations, and adjustment vectors calculated
using the Land Information New Zealand (LINZ) survey network adjustment
package SNAP.  SNAP is available at https://www.geodesy.linz.govt.nz/download/snap.
This plugin requires both SQLite and the spatialite extension to be installed.
It uses the VectorFieldLayerManager QGIS plugin if it is installed
to draw adjustment vectors and error ellipses.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/linz/qgis-linzsnap-plugin]]></homepage>
        <file_name>LinzSnap.1.7.zip</file_name>
        <icon>/media/packages/2024/LinzSnap.png</icon>
        <author_name><![CDATA[Chris Crook]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LinzSnap/version/1.7/download/</download_url>
        <uploaded_by><![CDATA[ccrook]]></uploaded_by>
        <create_date>2016-09-13T00:03:26.033405+00:00</create_date>
        <update_date>2024-04-01T22:10:24.642674+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/linz/qgis-linzsnap-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/linz/qgis-linzsnap-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>7761</downloads>
        <average_vote>2.599480103979204</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="wfsOutputExtension" version="1.8.3" plugin_id="1104">
        <description><![CDATA[Adds additional output formats to WFS GetFeature request on QGIS Server such as Geopackage, ODS, CSV etc.]]></description>
        <about><![CDATA[wfsOutputExtension adds Output Formats to WFS GetFeature request.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/3liz/qgis-wfsOutputExtension]]></homepage>
        <file_name>wfsOutputExtension.1.8.3.zip</file_name>
        <icon>/media/packages/2025/icon_hfYrJTV.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wfsOutputExtension/version/1.8.3/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2016-09-15T07:45:23.667062+00:00</create_date>
        <update_date>2025-03-25T11:06:02.665824+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/qgis-wfsOutputExtension/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/qgis-wfsOutputExtension]]></repository>
        <tags><![CDATA[web,wfs,server,lizmap,ogc,format,extension]]></tags>
        <downloads>31831</downloads>
        <average_vote>4.1244844394450695</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>True</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Style Loader" version="0.4" plugin_id="1106">
        <description><![CDATA[Load multiple layer styles based on layer names. Select a parent folder. Qml files in the subdirectories which match by layer name will get the style assigned.]]></description>
        <about><![CDATA[Load multiple layer styles based on layer names.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.geo-services.at/blog/]]></homepage>
        <file_name>LayerStyleLoader.0.4.zip</file_name>
        <icon>/media/packages/2024/icon_ZVDdy9i.png</icon>
        <author_name><![CDATA[Bernd Loigge]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LayerStyleLoader/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[bloigge]]></uploaded_by>
        <create_date>2016-09-19T14:02:14.203713+00:00</create_date>
        <update_date>2024-02-07T13:24:20.362607+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bloigge/QGisLayerStyleLoader/issues]]></tracker>
        <repository><![CDATA[https://github.com/bloigge/QGisLayerStyleLoader.git]]></repository>
        <tags><![CDATA[style,layers]]></tags>
        <downloads>28541</downloads>
        <average_vote>4.636152902140812</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Datafordeler" version="1.3" plugin_id="1109">
        <description><![CDATA[[Deprecated] Easy access to webservices from Datafordeler in QGIS Desktop.]]></description>
        <about><![CDATA[OBS - dette plugin er sat til &#x27;deprecated&#x27; - dvs. forældet. Den proxy som pluginet baseres på stopper med at virke d. 15/12-2023, hvorefter pluginet ikke vil kunne bruges. Vi anbefaler, at du i stedet henter pluginet &#x27;Dataforsyning&#x27;. Hvis du synes, at der mangler data i Dataforsynings-pluginet, så opret det som et issue på pluginets Github repository - skriv fx en kommentar på https://github.com/SDFIdk/Qgis-dataforsyningen/issues/30

Læs mere om baggrunden for denne beslutning på https://github.com/Septima/qgis-dfd-knap

--------------------------------------
Dette plugin gør det let at få vist tjenester fra Datafordeleren i QGIS. En ny menu, &#x27;Datafordeler&#x27; tilføjes QGIS. Denne menu indeholder data fordelt på kategorier.
Det er nødvendigt at have en tjenestebruger til Datafordeleren. Læs mere om oprettelse af tjenestebruger på &lt;a href=&quot;https://datafordeler.dk/vejledning/brugeradgang/brugeroprettelse/&quot;&gt;datafordeler.dk&lt;/a&gt;.
Bemærk, at Septima stiller pluginet frit og gratis til rådighed i det håb, at det kan være til nytte. Vi kan desværre ikke tilbyde gratis support.
English:
This plugin makes it easy to use the services from Datafordeleren (Danish data). A new menu, &#x27;Datafordeler&#x27;, is added to the QGIS menu. This contains Datafordeler-services ordered by category.
In order to use the plugin, a Datafordeler service user (in Danish &#x27;Tjenestebruger&#x27;) is required. If you do not have an account, read more about creating one at &lt;a href=&quot;https://datafordeler.dk/vejledning/brugeradgang/brugeroprettelse/&quot;&gt;datafordeler.dk&lt;/a&gt;.
&lt;img src=&quot;http://www.septima.dk/skin1/img/logo_143x39.png&quot; alt=&quot;Septima&quot;&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Septima/qgis-dfd-knap]]></homepage>
        <file_name>Datafordeler.1.3.zip</file_name>
        <icon>/media/packages/2022/icon_CdW6qEM.png</icon>
        <author_name><![CDATA[Septima]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Datafordeler/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[septima]]></uploaded_by>
        <create_date>2016-09-20T07:48:29.021065+00:00</create_date>
        <update_date>2022-07-13T08:13:50.069871+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/Septima/qgis-dfd-knap/issues]]></tracker>
        <repository><![CDATA[https://github.com/Septima/qgis-dfd-knap]]></repository>
        <tags><![CDATA[wfs,dansk,danmark,open data,danish,denmark,frie data,datafordeler]]></tags>
        <downloads>19927</downloads>
        <average_vote>4.72684301427143</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vietnamese Font Converter" version="3.2" plugin_id="1112">
        <description><![CDATA[This tool helps to convert charsets between encodings, from Vietnamese&#x27;s UTF-8 to Internationalized (Unicode) and vice versa. For non-Vietnamese users, you can also use this tool to convert into ANSI characters (either &quot;TCVN &gt;&gt; Khong dau&quot; or &quot;Unicode &gt;&gt; Khong dau&quot;.]]></description>
        <about><![CDATA[Công cụ chuyển đổi mã font trong tiếng Việt cho QGIS 3.x. Một trong những đóng góp của ThanhGIS (thanh.nv@me.com) dành tặng người dùng QGIS Việt Nam.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/thanhgis/QGIS-Vietnamese-Encodings-Converter]]></homepage>
        <file_name>Converter.3.2.zip</file_name>
        <icon>/media/packages/2018/icon_yQk0Hy8.png</icon>
        <author_name><![CDATA[ThanhGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Converter/version/3.2/download/</download_url>
        <uploaded_by><![CDATA[thanhgis]]></uploaded_by>
        <create_date>2016-09-29T08:31:49.289134+00:00</create_date>
        <update_date>2018-08-19T06:29:15.092620+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/thanhgis/QGIS-Vietnamese-Encodings-Converter/issues]]></tracker>
        <repository><![CDATA[https://github.com/thanhgis/QGIS-Vietnamese-Encodings-Converter]]></repository>
        <tags><![CDATA[convert,unicode,vietnamese]]></tags>
        <downloads>13859</downloads>
        <average_vote>4.615029613106684</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Linear Theory Orographic Precipitation" version="3.1" plugin_id="1119">
        <description><![CDATA[Implements the Smith &amp; Barstad (2004) LT model]]></description>
        <about><![CDATA[This plugin implements the Linear Theory of Orographic Precipitation model by Smith and Barstad (2004). The model includes airflow dynamics, condensed water advection, and downslope evaporation. Vertically integrated steady-state governing equations for condensed water are solved using Fourier transform techniques. The precipitation field is computed quickly by multiplying the terrain transform by a wavenumber-dependent transfer function. The code is fast even for larger rasters if sufficient RAM is available. However, processing large rasters with insuffiecient RAM is very slow. Before using this plugin, please read the original manuscript of Smith and Barstad (2004) to understand the model physics and its limitations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pism/LinearTheoryOrographicPrecipitation]]></homepage>
        <file_name>LinearTheoryOrographicPrecipitation.3.1.zip</file_name>
        <icon>/media/packages/2017/icon_EII7OeG.png</icon>
        <author_name><![CDATA[Andy Aschwanden and Constantine Khrulev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LinearTheoryOrographicPrecipitation/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[aaschwanden]]></uploaded_by>
        <create_date>2016-10-10T15:49:50.080076+00:00</create_date>
        <update_date>2020-02-18T23:35:42.158460+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pism/LinearTheoryOrographicPrecipitation/issues]]></tracker>
        <repository><![CDATA[https://github.com/pism/LinearTheoryOrographicPrecipitation]]></repository>
        <tags><![CDATA[python,raster,processing,numpy,precipitation]]></tags>
        <downloads>7738</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QMarxan Toolbox" version="2.0.3" plugin_id="1121">
        <description><![CDATA[Create input files for Marxan]]></description>
        <about><![CDATA[The QMarxan Toolbox provides a toolbox based approach to creating inputs for Marxan as well as for calibration and examining the results. This tool has the same work flow and parameter naming as the ArcMarxan Toolbox.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tsw-apropos/qmarxantoolbox]]></homepage>
        <file_name>QMarxanToolbox.2.0.3.zip</file_name>
        <icon>/media/packages/2023/qm_icon.png</icon>
        <author_name><![CDATA[Trevor Wiens]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QMarxanToolbox/version/2.0.3/download/</download_url>
        <uploaded_by><![CDATA[tsw]]></uploaded_by>
        <create_date>2016-10-12T05:12:17.906458+00:00</create_date>
        <update_date>2023-12-17T17:01:07.635602+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tsw-apropos/qmarxantoolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/tsw-apropos/qmarxantoolbox]]></repository>
        <tags><![CDATA[marxan]]></tags>
        <downloads>21603</downloads>
        <average_vote>4.416298641779852</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="History viewer for a PostgreSQL base with audit triggers" version="2.2" plugin_id="1135">
        <description><![CDATA[This plugin allows to view audit logs and replay some past events]]></description>
        <about><![CDATA[History viewer for a PostgreSQL base with audit triggers]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/qwat/pg-history-viewer]]></homepage>
        <file_name>pg_history_viewer.2.2.zip</file_name>
        <icon>/media/packages/2019/qaudit-64_BsW9Ykp.png</icon>
        <author_name><![CDATA[Hugo Mercier]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pg_history_viewer/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2016-11-08T10:23:47.832853+00:00</create_date>
        <update_date>2019-10-10T13:45:59.675306+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qwat/pg-history-viewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/qwat/pg-history-viewer]]></repository>
        <tags><![CDATA[audit,log,history,postgresql,replay]]></tags>
        <downloads>7651</downloads>
        <average_vote>3.888456838129097</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cloud Masking" version="24.6" plugin_id="1138">
        <description><![CDATA[CloudMasking is a Qgis plugin for make the masking of clouds, cloud shadow, cirrus, aerosols, ice/snow and water for Landsat (4, 5, 7, 8, 9) products using different process and filters such as Fmask, Blue Band, Cloud QA, Aerosol and Pixel QA.]]></description>
        <about><![CDATA[CloudMasking is a Qgis plugin for make the masking of clouds, cloud shadow, cirrus, aerosols, ice/snow and water for Landsat (4, 5, 7 and 8) products using different process such as Fmask, Blue Band, Cloud QA and QA Band.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://smbyc.github.io/CloudMasking]]></homepage>
        <file_name>CloudMasking.24.6.zip</file_name>
        <icon>/media/packages/2024/cloud_masking.svg</icon>
        <author_name><![CDATA[Xavier Corredor Llano, SMByC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CloudMasking/version/24.6/download/</download_url>
        <uploaded_by><![CDATA[xaviercll]]></uploaded_by>
        <create_date>2016-12-02T17:41:33.477915+00:00</create_date>
        <update_date>2024-06-04T06:36:42.696409+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SMByC/CloudMasking/issues]]></tracker>
        <repository><![CDATA[https://github.com/SMByC/CloudMasking]]></repository>
        <tags><![CDATA[raster,landsat,cloud,remote sensing,masking]]></tags>
        <downloads>76019</downloads>
        <average_vote>4.09514059189067</average_vote>
        <rating_votes>42</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Hats" version="1.8" plugin_id="1139">
        <description><![CDATA[Because people are not wearing enough hats.]]></description>
        <about><![CDATA[Downloads daily and monthly hats for QGIS.  Because why not]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NathanW2/qgis_hats]]></homepage>
        <file_name>qgis_hats.1.8.zip</file_name>
        <icon>/media/packages/2019/icon_uyAjrjm.png</icon>
        <author_name><![CDATA[Nathan Woodrow]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_hats/version/1.8/download/</download_url>
        <uploaded_by><![CDATA[NathanW]]></uploaded_by>
        <create_date>2016-12-05T13:23:16.851851+00:00</create_date>
        <update_date>2019-12-07T12:32:14.278522+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NathanW2/qgis_hats]]></tracker>
        <repository><![CDATA[https://github.com/NathanW2/qgis_hats]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>13415</downloads>
        <average_vote>4.729068144413659</average_vote>
        <rating_votes>48</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Stereonet" version="0.3" plugin_id="1141">
        <description><![CDATA[Displays a geologic stereonet of selected data]]></description>
        <about><![CDATA[Displays a geologic stereonet of selected geologic structure data. Data needs to be loaded into QGIS via &quot;Delimited Text Layer.&quot; A stereonet will be plotted if there is a column labeled &quot;Strike&quot; or &quot;DDR&quot; and &quot;Dip&quot; (case doesn&#x27;t matter). Poles of the structures are plotted on an equal area stereonet with a modified Kamb method contouring.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/dchilds/qgis-stereonet]]></homepage>
        <file_name>qgis-stereonet.0.3.zip</file_name>
        <icon>/media/packages/2018/icon_sXYo6uv.png</icon>
        <author_name><![CDATA[Daniel Childs]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-stereonet/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[childsd3]]></uploaded_by>
        <create_date>2016-12-07T17:29:43.763500+00:00</create_date>
        <update_date>2018-05-25T04:53:08.974781+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/dchilds/qgis-stereonet/issues]]></tracker>
        <repository><![CDATA[https://github.com/daniel-childs/qgis-stereonet]]></repository>
        <tags><![CDATA[attribute,geology,csv,stereonet,structure]]></tags>
        <downloads>18733</downloads>
        <average_vote>3.675576335774709</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PostGIS Sampling Tool" version="1.5.1" plugin_id="1143">
        <description><![CDATA[Management of triggers in PostGIS database to copy attributes based on spatial relation]]></description>
        <about><![CDATA[See this page for more information: https://github.com/raumregionmensch/rrm-plugin/blob/master/README.md]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raumregionmensch/rrm-plugin]]></homepage>
        <file_name>postgis_sampling_tool.1.5.1.zip</file_name>
        <icon>/media/packages/2020/icon_KR6ptpO.svg</icon>
        <author_name><![CDATA[Martin Dobias for RaumRegionMensch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/postgis_sampling_tool/version/1.5.1/download/</download_url>
        <uploaded_by><![CDATA[vsklencar]]></uploaded_by>
        <create_date>2016-12-09T05:28:21.314213+00:00</create_date>
        <update_date>2020-06-09T09:07:08.999509+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raumregionmensch/rrm-plugin]]></tracker>
        <repository><![CDATA[https://github.com/raumregionmensch/rrm-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>25388</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="layer2kmz" version="1.5.3" plugin_id="1146">
        <description><![CDATA[Build a kmz file from a layer of points, lines or polygons]]></description>
        <about><![CDATA[This plugin converts a layer of spatial data to kmz. It groups data to folders and generates the symbology as displayed in QGIS. At the moment, it only works with simple or categorized symbology. If you have suggestions or detected a bug, please open an issue in the tracker website! A special thanks to Jim Garner for all the testing on beta versions!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ptarroso/layer2kmz]]></homepage>
        <file_name>layer2kmz.1.5.3.zip</file_name>
        <icon>/media/packages/2020/icon_Y6JjgUG.png</icon>
        <author_name><![CDATA[Pedro Tarroso]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer2kmz/version/1.5.3/download/</download_url>
        <uploaded_by><![CDATA[ptg]]></uploaded_by>
        <create_date>2016-12-13T16:26:29.374520+00:00</create_date>
        <update_date>2020-05-20T01:06:11.917278+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ptarroso/layer2kmz/issues]]></tracker>
        <repository><![CDATA[https://github.com/ptarroso/layer2kmz]]></repository>
        <tags><![CDATA[point,kmz]]></tags>
        <downloads>101069</downloads>
        <average_vote>3.851447015376085</average_vote>
        <rating_votes>101</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Plugin Builder 3" version="3.2.1" plugin_id="1147">
        <description><![CDATA[Creates a QGIS plugin template for use as a starting point in plugin development]]></description>
        <about><![CDATA[Create a template for a QGIS plugin]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://g-sherman.github.io/Qgis-Plugin-Builder]]></homepage>
        <file_name>pluginbuilder3.3.2.1.zip</file_name>
        <icon>/media/packages/2019/icon_ExnwKwJ.png</icon>
        <author_name><![CDATA[GeoApt LLC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pluginbuilder3/version/3.2.1/download/</download_url>
        <uploaded_by><![CDATA[gsherman]]></uploaded_by>
        <create_date>2016-12-14T20:03:57.193108+00:00</create_date>
        <update_date>2019-06-28T16:26:33.658725+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/g-sherman/Qgis-Plugin-Builder/issues]]></tracker>
        <repository><![CDATA[https://github.com/g-sherman/Qgis-Plugin-Builder]]></repository>
        <tags><![CDATA[development]]></tags>
        <downloads>134353</downloads>
        <average_vote>4.450951300971889</average_vote>
        <rating_votes>153</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Potential Slope Failure" version="0.7" plugin_id="1148">
        <description><![CDATA[This plugin maps potential slope failures in cohesive soils]]></description>
        <about><![CDATA[This plugin maps potential slope failures in cohesive soils by making use of a raster-based shadow casting algorithm. The method is explained in detail in Lindberg, Olvmo and Bergdahl (2011). (http://www.sciencedirect.com/science/article/pii/S0266352X11000693)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/biglimp/PotentialSlopeFailure/wiki/Potential-Slope-Failure-plugin-for-QGIS]]></homepage>
        <file_name>PotentialSlopeFailure.0.7.zip</file_name>
        <icon>/media/packages/2019/icon_A9zzcAS.png</icon>
        <author_name><![CDATA[Fredrik Lindberg, Gothenburg University]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PotentialSlopeFailure/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[biglimp]]></uploaded_by>
        <create_date>2016-12-15T15:01:19.680048+00:00</create_date>
        <update_date>2024-02-14T10:37:34.117363+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/biglimp/PotentialSlopeFailure/issues]]></tracker>
        <repository><![CDATA[https://github.com/biglimp/PotentialSlopeFailure]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>8917</downloads>
        <average_vote>3.3633306063085175</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Plugin Load Times" version="4.2" plugin_id="1163">
        <description><![CDATA[If QGIS takes long to start, it can be because some of the plugins you installed take a long time to load at startup.  This plugin shows the load time of each plugin. It does not give you information about the speed of plugins when they are used. With the information provided by this plugin you can easily decide which plugins to disable, to make QGIS start faster.]]></description>
        <about><![CDATA[This plugin was created by Michel Stuyts (https://stuyts.xyz). License: GPL-3.0]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.michelstuyts.be/plugin-load-times/]]></homepage>
        <file_name>PluginLoadTimes.4.2.zip</file_name>
        <icon>/media/packages/2026/icon_NfyHkLr.png</icon>
        <author_name><![CDATA[Michel Stuyts]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PluginLoadTimes/version/4.2/download/</download_url>
        <uploaded_by><![CDATA[mstuyts]]></uploaded_by>
        <create_date>2017-01-19T08:03:10.882789+00:00</create_date>
        <update_date>2026-02-18T09:32:44.685228+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/GIS-projects/Plugin-Load-Times/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/GIS-projects/Plugin-Load-Times]]></repository>
        <tags><![CDATA[plugin,performance]]></tags>
        <downloads>43666</downloads>
        <average_vote>4.388645075273596</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MySQL Importer" version="0.7.3" plugin_id="1175">
        <description><![CDATA[Import spatial and table data into MySQL/MariaDB]]></description>
        <about><![CDATA[This plugin uses ogr2ogr to import spatial and table data into MySQL and MariaDB. Please make sure you have the MySQL Python extensions installed! (The plugin will give an error message if these are not installed). For Windows users the &quot;Unofficial Windows Binaries for Python Extension Packages&quot; can be downloaded at http://www.lfd.uci.edu/~gohlke/pythonlibs. These .whl compressed python extensions can then be extracted (you may need 7-Zip for that) to your &lt;Python installation&gt;\Lib\site-packages folder, or installed with the &quot;pip&quot; installer, to allow MySQL/Python interaction. For Linux and Mac installations please read your operating system instructions on how to install the MySQL/Python extensions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.blecher.co.za/index.php/projects/qgis-plugins]]></homepage>
        <file_name>mysqlimport.0.7.3.zip</file_name>
        <icon>/media/packages/2018/icon_wgYUH3w.png</icon>
        <author_name><![CDATA[Immo Blecher]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mysqlimport/version/0.7.3/download/</download_url>
        <uploaded_by><![CDATA[immoblecher]]></uploaded_by>
        <create_date>2017-02-10T12:55:34.954503+00:00</create_date>
        <update_date>2018-03-05T13:00:12.726339+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/immoblecher/qgis-plugin-mysqlimport/issues]]></tracker>
        <repository><![CDATA[https://github.com/immoblecher/qgis-plugin-mysqlimport]]></repository>
        <tags><![CDATA[mariadb,mysql]]></tags>
        <downloads>48600</downloads>
        <average_vote>3.5999280014399715</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="cartogram3" version="3.1.5" plugin_id="1180">
        <description><![CDATA[Generate anamorphic maps]]></description>
        <about><![CDATA[This plugin creates continous cartograms (a.k.a. anamorphic maps) from polygon layers.

It is a port of the QGIS 2.x cartogram plugin by Morten Wulff and Carson Farmer to QGIS 3, Python 3 and PyQt5. Features include parallel processing, the option to select multiple variables to batch-produce cartograms, and the possibility to use a maximum total error threshold as a stop condition.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/austromorph/cartogram3]]></homepage>
        <file_name>cartogram3.3.1.5.zip</file_name>
        <icon>/media/packages/2026/icon_HaJ9uxG.png</icon>
        <author_name><![CDATA[Christoph Fink]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cartogram3/version/3.1.5/download/</download_url>
        <uploaded_by><![CDATA[peippo]]></uploaded_by>
        <create_date>2017-02-18T01:18:23.267467+00:00</create_date>
        <update_date>2022-09-22T07:20:48.798575+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/austromorph/cartogram3/issues]]></tracker>
        <repository><![CDATA[https://github.com/austromorph/cartogram3]]></repository>
        <tags><![CDATA[shapefile,polygon,geometry,layers]]></tags>
        <downloads>79123</downloads>
        <average_vote>4.232459710239297</average_vote>
        <rating_votes>43</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Turn Gray" version="3.1.1" plugin_id="1184">
        <description><![CDATA[Change layout items&#x27; black color into gray (or any other color).]]></description>
        <about><![CDATA[This plugin provides an easy way to change the color of all items in the layout at once. My use case was to change the black color of many items like labels, scale bars and frames into a dark gray color. But of course you can select any color you wish.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raymondnijssen/turngray]]></homepage>
        <file_name>TurnGray.3.1.1.zip</file_name>
        <icon>/media/packages/2022/icon_NMR8eQO.svg</icon>
        <author_name><![CDATA[Raymond Nijssen, Terglobo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TurnGray/version/3.1.1/download/</download_url>
        <uploaded_by><![CDATA[raymondnijssen]]></uploaded_by>
        <create_date>2017-03-01T15:23:49.788023+00:00</create_date>
        <update_date>2022-10-02T14:21:28.592668+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raymondnijssen/turngray/issues]]></tracker>
        <repository><![CDATA[https://github.com/raymondnijssen/turngray]]></repository>
        <tags><![CDATA[map,composer,change,item,color,colour,layout,grey,gray,black]]></tags>
        <downloads>11683</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Invisible layers and groups" version="2.2" plugin_id="1186">
        <description><![CDATA[Make some layers and groups invisible in the QGIS Layer Tree (aka Layers panel).]]></description>
        <about><![CDATA[Make some layers and groups invisible in the QGIS Layer Tree (aka Layers panel). E.g., lookup tables. Recommendation: Use it on top-level layers/groups, i.e., not on sublayers/subgroups.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gacarrillor/InvisibleLayersAndGroups]]></homepage>
        <file_name>InvisibleLayersAndGroups.2.2.zip</file_name>
        <icon>/media/packages/2026/hide_loYrTzJ.png</icon>
        <author_name><![CDATA[Germán Carrillo (GeoTux)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/InvisibleLayersAndGroups/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[gcarrillo]]></uploaded_by>
        <create_date>2017-03-03T15:02:55.064612+00:00</create_date>
        <update_date>2022-03-25T00:58:40.760412+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gacarrillor/InvisibleLayersAndGroups/issues]]></tracker>
        <repository><![CDATA[https://github.com/gacarrillor/InvisibleLayersAndGroups]]></repository>
        <tags><![CDATA[vector,raster,layer,legend,table,layers,toc,hide,group,layer tree,invisible,hidden,lookup,private]]></tags>
        <downloads>20896</downloads>
        <average_vote>4.599816007359705</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Split Features On Steroids" version="0.13" plugin_id="1187">
        <description><![CDATA[Split features showing areas on each side allowing the edition of the cutting line vertices]]></description>
        <about><![CDATA[Split one or more polygon/multipolygon features showing the resulting areas on each side of the cutting line. Adjust the vertices of the cutting line before splitting.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/antoniocarlon/SplitPolygonShowingAreas]]></homepage>
        <file_name>SplitPolygonShowingAreas.0.13.zip</file_name>
        <icon>/media/packages/2018/icon_k7rnCM9.png</icon>
        <author_name><![CDATA[Antonio Carlón]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SplitPolygonShowingAreas/version/0.13/download/</download_url>
        <uploaded_by><![CDATA[antoniocarlon]]></uploaded_by>
        <create_date>2017-03-06T15:34:50.014825+00:00</create_date>
        <update_date>2018-03-29T20:35:44.674635+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/antoniocarlon/SplitPolygonShowingAreas/issues]]></tracker>
        <repository><![CDATA[https://github.com/antoniocarlon/SplitPolygonShowingAreas]]></repository>
        <tags><![CDATA[vector,editing,features,polygon,line,split,edit,area,multipolygon]]></tags>
        <downloads>50266</downloads>
        <average_vote>4.672987057941194</average_vote>
        <rating_votes>52</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MTOPOpenData" version="1.4" plugin_id="1188">
        <description><![CDATA[Acceso a servicios webs del Ministerio de Transporte y Obras Públicas (MTOP) de Uruguay. EN: Access to geographic webservices of the Ministerio de Transporte y Obras Públicas (MTOP) of Uruguay.]]></description>
        <about><![CDATA[Este plugin reúne los servicios webs geográficos (WMS y WFS) de Uruguay provistos por el Ministerio de Transporte y Obras Públicas (MTOP) siendo una adaptación del plugin existente GreekOpenData creado por Eirini Simitzi y Thanos Strantzalis. El objetivo del plugin es facilitar el acceso a la información proporcionada por el MTOP permitiendo visualizarla y descargarla fácilmente. Las capas de datos son un sub conjunto de las disponibles actualmente. La totalidad de las capas puede ser consultada a través de la web del equipo: https://geoportal.mtop.gub.uy/ Para poder utilizar este plugin es necesario contar con conexión a internet. La adaptación ha sido realizada por el Equipo IDE MTOP. Este plugin es liberado bajo la licencia GNU versión 3. EN: This plugin reunite all the geographic webservices (WMS and WFS) from Uruguay provided by the Ministerio de Transporte y Obras públicas (MTOP) being an adaption of the existing plugin GreekOpenData created by Eirini Simitzi and Thanos Strantzalis. The target of this plugin is to facilitate the access to the information provided by the MTOP. The layers of data are a subgroup of the total available. The totality of layers can be found in https://geoportal.mtop.gub.uy/ .]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoportal.mtop.gub.uy]]></homepage>
        <file_name>MTOPOpenData.1.4.zip</file_name>
        <icon>/media/packages/2019/icon_mjQTIDa.png</icon>
        <author_name><![CDATA[IDE MTOP]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MTOPOpenData/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[geoportalmtop]]></uploaded_by>
        <create_date>2017-03-06T21:13:57.952069+00:00</create_date>
        <update_date>2019-10-11T12:46:52.075788+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/IDE_MTOP_PUBLICO/MTOPOpenData/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/IDE_MTOP_PUBLICO/MTOPOpenData]]></repository>
        <tags><![CDATA[wfs,wms,ide,open data,web services,ide uy,mtop,uruguay]]></tags>
        <downloads>12908</downloads>
        <average_vote>4.687207049559402</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tempus" version="1.1.1" plugin_id="1191">
        <description><![CDATA[Plugin to interact with a Tempus instance. Tempus is a framework for multimodal route planning]]></description>
        <about><![CDATA[Plugin to interact with a Tempus instance. Tempus is a framework for multimodal route planning]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/Oslandia/tempus_qgis]]></homepage>
        <file_name>tempus_qgis.1.1.1.zip</file_name>
        <icon>/media/packages/2018/icon_KgI6mOV.png</icon>
        <author_name><![CDATA[Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tempus_qgis/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[hmercier]]></uploaded_by>
        <create_date>2017-03-09T11:23:20.266198+00:00</create_date>
        <update_date>2018-11-30T12:26:01.972902+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/tempus_qgis]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/tempus_qgis]]></repository>
        <tags><![CDATA[routing,network,road,wps,public_transportation,ifsttar,planning]]></tags>
        <downloads>9785</downloads>
        <average_vote>3.0766864087377894</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Shape Tools" version="3.5.3" plugin_id="1193">
        <description><![CDATA[Shape Tools is a collection of geodesic shapes and tools. Create circle, ellipse, line of bearing, points along a line of bearing, concentric circles, pie wedge, donut, arc wedge, star, ellipse rose, epicycloid, gear, hypocyloid, polyfoil, polygon, radial line, rings with radial lines, and heart shapes. Tools include &quot;XY to Line&quot; tool, densify lines and polygons along geodesic paths, geodesic line break, geodesic measuring and create a measurement layer, geodesic scale, rotate, flip and translate tools, and digitize points at an azimuth &amp; distance tools.]]></description>
        <about><![CDATA[Shape Tools is a collection of geodesic shapes and tools. Shape Tools is installed in the Vector menu.
&quot;Create Geodesic Shapes&quot; processes a point vector layer to create circles, ellipses, arc wedges, pie wedges, donuts, lines of bearing, points along a line of bearing, ellipse roses, epicycloids, hypocyloids, polyfoils, polygons, radial lines, rings with radial lines, stars, and hearts based on the table&#x27;s fields and other parameters.
&quot;Interactive Geodesic Shapes&quot; captures the coordinate of a mouse click on the canvas and draws the selected shape about it.
&quot;XY to Line&quot; uses pairs of coordinates from each record to create geodesic lines.
&quot;Geodesic Line Break&quot; breaks lines at the International Date Line.
&quot;Geodesic Densifier&quot; creates geodesic lines and polygons by adding additional vertices along geodesic paths within the shape.
&quot;Geodesic distance &amp; Time Decimation&quot; remove points or vertices from a point or line layer using geodesic distances or time.
&quot;Geodesic Measure Tool&quot; measures distances using the WGS 84 ellipsoid and includes the bearing or heading between points. It will even saves the measurements as a layer.
&quot;Geodesic Measurement Layer&quot; converts a polygon or line layer a new layer with all geometries measured and labeled.
&quot;Geodesic Transformation Tool&quot; can scale, rotate and translate any shape.
&quot;Geodesic flip &amp; rotate tools&quot; provide geodesic flip and rotation vector feature transformations.
&quot;Azimuth, Distance Digitizer&quot; digitizes points based on a clicked point, an azimuth and distance or creates a geodesic line from a clicked point to an azimuth and distance.
&quot;Field Calculator Functions&quot; provides geodesic functions in the field calculator.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-shapetools-plugin]]></homepage>
        <file_name>shapetools.3.5.3.zip</file_name>
        <icon>/media/packages/2026/icon_t8soWNI.png</icon>
        <author_name><![CDATA[Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shapetools/version/3.5.3/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2017-03-10T15:16:54.305959+00:00</create_date>
        <update_date>2026-03-16T23:22:47.692240+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-shapetools-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-shapetools-plugin]]></repository>
        <tags><![CDATA[distance,polygon,scale,pie,translate,expression,densify,circle,simplify,ellipse,field calculator,azimuth,bearing,circles,measure,star,polyfoil,heart,xy to line,hypocyloid,rose,epicycloid,digitize,measurements,geodesic line,geodesic polygon,densifier,line split,international date line,donut,surveying,rotate,resize,flip,decimate,decimation,gear,concentric]]></tags>
        <downloads>658416</downloads>
        <average_vote>4.384259810652111</average_vote>
        <rating_votes>445</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MPA Results Analysis" version="0.3" plugin_id="1195">
        <description><![CDATA[This plugin checks how your candidate MPA network meets your placement objectives]]></description>
        <about><![CDATA[This plugin is used to check how a candidate MPA network meets Marine Spatial Planning MPA Placement Objectives. For example, the MPA network should cover 10 percent of each bioregion and each bioregion should be replicated (intersected) by 3 MPAs.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jonah-sullivan/MPAPostHocAccounting]]></homepage>
        <file_name>MPAPostHocAccounting.0.3.zip</file_name>
        <icon>/media/packages/2026/icon_aKW0ixS.png</icon>
        <author_name><![CDATA[Jonah Sullivan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MPAPostHocAccounting/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[jonahsullivan]]></uploaded_by>
        <create_date>2017-03-14T21:34:27.449351+00:00</create_date>
        <update_date>2026-04-08T01:29:53.004231+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jonah-sullivan/MPAPostHocAccounting/issues]]></tracker>
        <repository><![CDATA[https://github.com/jonah-sullivan/MPAPostHocAccounting]]></repository>
        <tags><![CDATA[allocation,mpa]]></tags>
        <downloads>4647</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Feature Iterator" version="1.2.0" plugin_id="1198">
        <description><![CDATA[Iterate over a vector layer&#x27;s features with the possibility to remove each of them during a step-by-step iteration.]]></description>
        <about><![CDATA[This plugin&#x27;s purpose is to iterate over a vector layer&#x27;s features, having the possibility to remove each feature during a step-by-step iteration. One can also define a pair attribute-value that will filter the features to be iterated. During iteration, viewport will be panned to where the feature is, using the same zoom level defined by user.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://plugins.qgis.org/plugins/FeatureIterator/]]></homepage>
        <file_name>FeatureIterator.1.2.0.zip</file_name>
        <icon>/media/packages/2023/icon_TkJemPN.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FeatureIterator/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2017-03-21T12:32:05.065625+00:00</create_date>
        <update_date>2023-04-20T14:12:56.740204+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/feature-iterator-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/feature-iterator-qgis-plugin/tree/master]]></repository>
        <tags><![CDATA[vector,canvas,layers,attributes,iteration]]></tags>
        <downloads>7685</downloads>
        <average_vote>4.388645075273596</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QgsProjectGenerator" version="3.3.7" plugin_id="1202">
        <description><![CDATA[QGIS Project Generator]]></description>
        <about><![CDATA[This Plugin is Deprecated. Use QGIS Model Baker instead.

Creates QGIS Projects from Interlis files]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/projectgenerator/]]></homepage>
        <file_name>projectgenerator.3.3.7.zip</file_name>
        <icon>/media/packages/2018/projectgenerator-icon_H9GYzwN.svg</icon>
        <author_name><![CDATA[OPENGIS.ch GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/projectgenerator/version/3.3.7/download/</download_url>
        <uploaded_by><![CDATA[mkuhn]]></uploaded_by>
        <create_date>2017-03-23T19:16:21.091513+00:00</create_date>
        <update_date>2018-12-06T09:06:59.844875+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/projectgenerator/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/projectgenerator]]></repository>
        <tags><![CDATA[project,postgis,interlis,postgresql,forms]]></tags>
        <downloads>43651</downloads>
        <average_vote>3.888456838129097</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Polygon Divider" version="0.12" plugin_id="1205">
        <description><![CDATA[Divides polygons into into an irregular grid of equal area &#x27;squareish&#x27; polygons of a specified size]]></description>
        <about><![CDATA[Polygon Divider takes a polygon and efficiently divides it into a number of &#x27;squareish&#x27; polygons of a defined size, which is useful for a multitude of applications such as land parceling, environmental sampling, and so on. &lt;br/&gt; &lt;br/&gt; Each output polygon inherits all of the attributes from its parent, as well as a number of additional attributes (id, uuid, area, representative point coordinates) that are described in the repository along with some usage examples. This version will work on QGIS 3.32 and above only, for previous QGIS versions please use version 0.9 of this plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jonnyhuck/RFCL-PolygonDivider]]></homepage>
        <file_name>Submission.0.12.zip</file_name>
        <icon>/media/packages/2025/icon_8X4griU.png</icon>
        <author_name><![CDATA[Jonny Huck]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Submission/version/0.12/download/</download_url>
        <uploaded_by><![CDATA[jonnyhuck]]></uploaded_by>
        <create_date>2017-03-26T18:48:49.767806+00:00</create_date>
        <update_date>2025-12-11T10:50:43.197903+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jonnyhuck/RFCL-PolygonDivider/issues]]></tracker>
        <repository><![CDATA[https://github.com/jonnyhuck/RFCL-PolygonDivider]]></repository>
        <tags><![CDATA[vector,python,sample,polygon,split,divide,parcel,partition]]></tags>
        <downloads>94963</downloads>
        <average_vote>3.6505584270069034</average_vote>
        <rating_votes>83</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Batch GPS Importer" version="1.1.1" plugin_id="1209">
        <description><![CDATA[Batch GPS Importer is a GPX file import automation plugin that converts multiple GPX files into a single layer with multiple features based on the features in each gpx file.]]></description>
        <about><![CDATA[Batch GPS Importer is a GPX file import automation plugin that converts multiple GPX files into a single layer with multiple features based on features in each gpx file. Batch GPS Importer is developed and maintained by Wondimagegn Tesfaye Beshah. It is a free software under GNU General Public License.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.datumhelper.com/products/batch-gps-importer]]></homepage>
        <file_name>batch_gps_importer.1.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_aqKBlGX.png</icon>
        <author_name><![CDATA[Wondimagegn Tesfaye Beshah]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/batch_gps_importer/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[wondie]]></uploaded_by>
        <create_date>2017-03-28T08:13:00.114436+00:00</create_date>
        <update_date>2025-02-14T06:53:21.426941+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wondie/batch_gps_importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/wondie/batch_gps_importer]]></repository>
        <tags><![CDATA[gps,gpx,batch,gpx import,gps import,batch gpx,batch gps,gpx merge]]></tags>
        <downloads>99512</downloads>
        <average_vote>4.1904096760368885</average_vote>
        <rating_votes>63</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Highlighter" version="1.0" plugin_id="1210">
        <description><![CDATA[Highlight selected features]]></description>
        <about><![CDATA[Highlight selected point or line features with a thick dot or line coloured in a user-defined colour. The layer whose features should be highlighted has to be defined in settings.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bstroebl/Highlighter]]></homepage>
        <file_name>Highlighter.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Bernhard Ströbl]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Highlighter/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[best]]></uploaded_by>
        <create_date>2017-03-30T14:06:18.923498+00:00</create_date>
        <update_date>2017-10-23T13:26:40.431218+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/bstroebl/Highlighter/issues]]></tracker>
        <repository><![CDATA[https://github.com/bstroebl/Highlighter]]></repository>
        <tags><![CDATA[vector select]]></tags>
        <downloads>8468</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BoundingBox" version="3.0" plugin_id="1213">
        <description><![CDATA[This plugin returns the xmin, ymin, xmax, ymax of the current view window, and the GetMap request of the selected WMS.]]></description>
        <about><![CDATA[Developers of web services often need bounding boxes of specific areas during trouble shooting, for test calls or for communication. The goal of this plugin is to, with one click, provide the bounding box of the current view window and the GetMap request of the selected WMS. You can copy this for your tests. With this plugin you can pan to a new location and press &quot;Get BBOX&quot; to updated the bounding box and GetMap request. Making it the quickest way of getting the needed information. No more need for different software, python commands, or copying xmin, ymin etc. one by one. Your bounding box is only 2 clicks away. Note that, in this plugin, the order will be xmin, ymin, xmax, ymax. This corresponds to the gml simple features point geometry encoding. Depending on the EPSG code you might need ymin, xmin, ymax, xmax in your tests. The GetMap request only works if you use the U.S. English Qgis. The script searches metadata therms which, when translated, can&#x27;t be found.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Maaka2890/BBox3]]></homepage>
        <file_name>BoundingBox.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_RTGAaMy.png</icon>
        <author_name><![CDATA[Maaka2890]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BoundingBox/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[maaka]]></uploaded_by>
        <create_date>2017-04-05T06:08:25.871494+00:00</create_date>
        <update_date>2026-01-07T13:59:16.546647+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Maaka2890/BBox3/issues]]></tracker>
        <repository><![CDATA[https://github.com/Maaka2890/BBox3]]></repository>
        <tags><![CDATA[bounding box,extent,bbox]]></tags>
        <downloads>27913</downloads>
        <average_vote>3.891219756092259</average_vote>
        <rating_votes>46</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SPZ Builder" version="1.2.0" plugin_id="1216">
        <description><![CDATA[Sanitary protection zone builder&lt;br /&gt;Построение санитарно-защитных зон]]></description>
        <about><![CDATA[&lt;p&gt;This plugin builds a sanitary protection zone based on the wind rose and the normative value.&lt;/p&gt;&lt;p&gt;Плагин предназначен для расчета и построения санитарно-защитных зон с учетом розы ветров.&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mentaljam/SpzBuilder]]></homepage>
        <file_name>SpzBuilder.1.2.0.zip</file_name>
        <icon>/media/packages/2018/SpzBuilder.png</icon>
        <author_name><![CDATA[Petr Tsymbarovich]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SpzBuilder/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[mentaljam]]></uploaded_by>
        <create_date>2017-04-14T16:39:05.861560+00:00</create_date>
        <update_date>2018-02-19T12:10:21.248765+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mentaljam/SpzBuilder/issues]]></tracker>
        <repository><![CDATA[https://github.com/mentaljam/SpzBuilder]]></repository>
        <tags><![CDATA[vector,sanitary protection zone,сзз,санитарно-защитная зона,spz]]></tags>
        <downloads>8203</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RS&amp;GIS" version="1.2" plugin_id="1220">
        <description><![CDATA[Operates on raw satellite data (Landsat 1-8 &amp; LISS) to produce standard outputs and user defined custom band outputs]]></description>
        <about><![CDATA[Tool performs well defined algorithms on raw satellite data to produce popularly used outputs like &gt; Land Surface Temperature (LST) &gt; At. Satellite Brightness Temperature &gt; Normalized Difference Vegetation Index (NDVI) &gt; Normalized Difference Water Index (NDWI) &gt; True Color Composite (TCC) &gt; Flase Color Composite (FCC) &gt; At Satellite Reflectance of available bands &gt; At Satellite Radiance of available bands &gt; Other user defined custom band outputs]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PrathamGitHub/NITK_RS-GIS_17]]></homepage>
        <file_name>NITK_RS-GIS_17.1.2.zip</file_name>
        <icon>/media/packages/2022/icon_M4EwjYw.png</icon>
        <author_name><![CDATA[Prathamesh Barane, G S Dwarakish]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NITK_RS-GIS_17/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[pratham03]]></uploaded_by>
        <create_date>2017-04-19T16:37:20.054308+00:00</create_date>
        <update_date>2022-06-24T16:45:42.735373+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PrathamGitHub/NITK_RS-GIS_17/issues]]></tracker>
        <repository><![CDATA[https://github.com/PrathamGitHub/NITK_RS-GIS_17.git]]></repository>
        <tags><![CDATA[landsat,reflectance,index,brightness temperature,radiance,ndvi,color composite,land surface temperature,cloud remove,water index,liss,lst,fcc,ndwi,tcc,vegetation]]></tags>
        <downloads>72777</downloads>
        <average_vote>4.578053467914564</average_vote>
        <rating_votes>64</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Select by relationship" version="0.3.3" plugin_id="1222">
        <description><![CDATA[The plugin allows to select records through tables based on relationships one-to-one or one-to-many specified inside a QGIS project.]]></description>
        <about><![CDATA[The plugin allows to select records through tables based on relationships one-to-one or one-to-many specified inside a QGIS project.&lt;br&gt;The plugin button will appear inside QGIS database menu. Anything in 3 steps:&lt;br&gt;1.Charge in a QGIS project your layers;&lt;br&gt;2.Set up the relationships between your layers inside the QGIS project properties;&lt;br&gt;3.Click on selectFromRelations button (or run its from QGIS toolbar Database-&gt;Select From Relation -&gt; Allow selections by relationship.&lt;br&gt;&lt;br&gt;Now you can select records between many related tables.&lt;br&gt;You can see an example in this videotutorial by Salvatore Fiandaca: &lt;a href=&quot;https://www.youtube.com/watch?v=4lXRnsMO-qI&quot;&gt;link&lt;/a&gt;&lt;br&gt;The plugin started by an original thread posted by Salvatore Fiandaca and developed by Andrea Borruso and Salvatore Larosa: &lt;a href=&quot;http://osgeo-org.1560.x6.nabble.com/QGIS-select-in-join-tabella-in-relazione-td5317093.html&quot;&gt;Original thread&lt;/a&gt;&lt;br&gt;A first post by Andrea Borruso: &lt;a href=&quot;https://medium.com/tantotanto/qgis-selezionare-geometrie-da-una-tabella-di-attributi-correlata-bea37747a7e2&quot;&gt;link&lt;/a&gt;&lt;br&gt;The original python macro by Salvatore Larosa: &lt;a href=&quot;https://gist.github.com/slarosa/653e6d759cf0d82c2a24dcc499b094e0&quot;&gt;link&lt;/a&gt;&lt;br&gt;A videotutorial by Salvatore Fiandaca where it&#x27;s showed the use of python macro by Salvatore Larosa: &lt;a href=&quot;https://www.youtube.com/watch?v=PRDftcPWNg8&quot;&gt;link&lt;/a&gt;&lt;br&gt;An other videotutorial by Salvatore Fiandaca for testing the macro python code embedded inside selectFromRelations plugin: &lt;a href=&quot;https://www.youtube.com/watch?v=4lXRnsMO-qI&quot;&gt;link&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pyarchinit/selectbyrelationship_repo/wiki]]></homepage>
        <file_name>SelectByRelationship.0.3.3.zip</file_name>
        <icon>/media/packages/2022/icon_S0jsmEo.svg</icon>
        <author_name><![CDATA[Luca Mandolesi, Salvatore Larosa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SelectByRelationship/version/0.3.3/download/</download_url>
        <uploaded_by><![CDATA[pyarchinit]]></uploaded_by>
        <create_date>2017-04-20T15:48:19.210481+00:00</create_date>
        <update_date>2022-02-26T10:15:45.064320+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pyarchinit/selectbyrelationship_repo/issues]]></tracker>
        <repository><![CDATA[https://github.com/pyarchinit/selectbyrelationship_repo]]></repository>
        <tags><![CDATA[database,select,relationship]]></tags>
        <downloads>17169</downloads>
        <average_vote>4.292578229799274</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vector Tiles Reader" version="3.2.2" plugin_id="1230">
        <description><![CDATA[Reader (short VT reader) which reads Vector Tiles from various predefined and configurable sources]]></description>
        <about><![CDATA[Plugin which reads vector tiles according to Mapbox&#x27; Vector Tiles specification as QGIS layers in a group. Styled vector tiles are typically used as high quality base maps. Sources can be an internet server, an MBTiles file or a directory of files. If an Mapbox GL JSON style is configured, the style is (partially) converted to QGIS styles.
The plugin has connections already configured for the following providers:
* MapTiler.com
* Nextzen.org
* OpenInfraMap.org
This Python plugin uses prebuilt C++ binaries for performance reasons.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geometalab/Vector-Tiles-Reader-QGIS-Plugin/]]></homepage>
        <file_name>vector_tiles_reader.3.2.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Martin Boos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vector_tiles_reader/version/3.2.2/download/</download_url>
        <uploaded_by><![CDATA[geometalab]]></uploaded_by>
        <create_date>2017-05-01T12:39:28.035965+00:00</create_date>
        <update_date>2019-12-31T08:21:40.733980+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/geometalab/Vector-Tiles-Reader-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/geometalab/Vector-Tiles-Reader-QGIS-Plugin]]></repository>
        <tags><![CDATA[vector,tiles,mbtiles,basemap,vector tiles,mapbox]]></tags>
        <downloads>114373</downloads>
        <average_vote>4.041040533691319</average_vote>
        <rating_votes>73</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OSM Tools" version="3.3.0" plugin_id="1232">
        <description><![CDATA[DEPRECATED. Please use ORS Tools instead.]]></description>
        <about><![CDATA[OSM Tools is renamed to ORS Tools. This version will simply install ORS Tools instead.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://openrouteservice.org]]></homepage>
        <file_name>OSMtools.3.3.0.zip</file_name>
        <icon>/media/packages/2019/icon_QrtZA1x.png</icon>
        <author_name><![CDATA[Nils Nolde]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OSMtools/version/3.3.0/download/</download_url>
        <uploaded_by><![CDATA[nilsnolde]]></uploaded_by>
        <create_date>2017-05-06T16:37:32.286276+00:00</create_date>
        <update_date>2019-02-28T06:04:28.086262+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/nilsnolde/ORStools/issues]]></tracker>
        <repository><![CDATA[https://github.com/nilsnolde/ORStools.git]]></repository>
        <tags><![CDATA[routing,openstreetmap,osm,accessibility,route,openrouteservice,service area,isochrones,matrix,ors]]></tags>
        <downloads>141631</downloads>
        <average_vote>4.35602760585147</average_vote>
        <rating_votes>132</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ICSM NTv2 Transformer" version="1.1.1" plugin_id="1236">
        <description><![CDATA[This plugin uses official ICSM grids to transform between Australian coordinate systems.]]></description>
        <about><![CDATA[This plugin enables accurate transformations using official Australian NTv2 grids.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/icsm-au/icsm_qgis_transformer]]></homepage>
        <file_name>icsm_ntv2_transformer.1.1.1.zip</file_name>
        <icon>/media/packages/2018/icon_Zku05iN.png</icon>
        <author_name><![CDATA[Alex Leith]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/icsm_ntv2_transformer/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[alexgleith]]></uploaded_by>
        <create_date>2017-05-09T11:12:20.265229+00:00</create_date>
        <update_date>2018-04-03T02:22:46.339011+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/icsm-au/icsm_qgis_transformer/issues]]></tracker>
        <repository><![CDATA[https://github.com/icsm-au/icsm_qgis_transformer]]></repository>
        <tags><![CDATA[transformation,coordinate system,icsm,agd84,gda94,gda2020,agd66]]></tags>
        <downloads>18151</downloads>
        <average_vote>4.221753138540162</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BoundaryDelineation" version="13.0" plugin_id="1237">
        <description><![CDATA[This plugin simplifies manual digitization from remote sensing imagery.]]></description>
        <about><![CDATA[The plugin is designed to support the interactive delineation of visible (cadastral) boundaries in remote sensing imagery. This work is supported by its4land, which is part of the Horizon 2020 program of the European Union (project number 687828).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://its4land.com/]]></homepage>
        <file_name>BoundaryDelineation.13.0.zip</file_name>
        <icon>/media/packages/2019/icon_AP34qIm.png</icon>
        <author_name><![CDATA[Sophie Crommelink, Ivan Ivanov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BoundaryDelineation/version/13.0/download/</download_url>
        <uploaded_by><![CDATA[scrommelinck]]></uploaded_by>
        <create_date>2017-05-12T10:12:35.215170+00:00</create_date>
        <update_date>2020-01-16T13:48:47.087613+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/its4land/qgis-boundary-delineation/issues]]></tracker>
        <repository><![CDATA[https://github.com/its4land/qgis-boundary-delineation]]></repository>
        <tags><![CDATA[vector,python,analysis,digitizing,remote sensing,processing,cadastre]]></tags>
        <downloads>31552</downloads>
        <average_vote>3.8146735306099773</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Morpheo" version="1.1.2" plugin_id="1238">
        <description><![CDATA[Graph construction and analysis from linestrings]]></description>
        <about><![CDATA[Graph construction and analysis from linestrings, analyze toplogical properties of street layout]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab-mshe.univ-fcomte.fr/thema/morpheo]]></homepage>
        <file_name>morpheo.1.1.2.zip</file_name>
        <icon>/media/packages/2025/morpheo_b56g8Hh.png</icon>
        <author_name><![CDATA[Claire Lagesse, 3Liz, Gilles Vuidel, Barnabé Perrault, Gaspard Quentin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/morpheo/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[gvuidel]]></uploaded_by>
        <create_date>2017-05-15T14:37:59.230562+00:00</create_date>
        <update_date>2025-12-09T15:58:00.706013+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab-mshe.univ-fcomte.fr/thema/morpheo/issues]]></tracker>
        <repository><![CDATA[https://gitlab-mshe.univ-fcomte.fr/thema/morpheo]]></repository>
        <tags><![CDATA[vector,network,line,topology,street,graph,urban,betweenness,way,centrality]]></tags>
        <downloads>9238</downloads>
        <average_vote>3.454231433506045</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickPrint" version="3.6.1" plugin_id="1242">
        <description><![CDATA[The QuickPrint Plugin for QGIS3]]></description>
        <about><![CDATA[The QuickPrint plug-in provides a simple way to quickly create a pdf from the map as shown in the map pane.

The map is not just a screenshot, but a real map with a title, subtitle, scalebar, date, attribution and remarks. In this way you get a decent print without the hassle of setting up and using print templates.

You can choose between A3 and A4 (or ANSI-A and ANSI-B) paper sizes and between portrait and landscape paper orientation.

Some customizations are possible, like putting a logo on the page and setting a different font and font size. Now, it is also possible to set a default attribution and a default remark.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MarcoDuiker/QGIS_QuickPrint/]]></homepage>
        <file_name>QuickPrint.3.6.1.zip</file_name>
        <icon>/media/packages/2021/icon_DAjocTy.png</icon>
        <author_name><![CDATA[Marco Duiker - MD-kwadraat]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickPrint/version/3.6.1/download/</download_url>
        <uploaded_by><![CDATA[marcoduiker]]></uploaded_by>
        <create_date>2017-05-19T09:46:18.783645+00:00</create_date>
        <update_date>2021-07-02T10:08:17.624496+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MarcoDuiker/QGIS_QuickPrint/issues]]></tracker>
        <repository><![CDATA[https://github.com/MarcoDuiker/QGIS_QuickPrint]]></repository>
        <tags><![CDATA[print template]]></tags>
        <downloads>51335</downloads>
        <average_vote>4.53811245288824</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="go2mapillary" version="2.3" plugin_id="1246">
        <description><![CDATA[mapillary explorer
(2021-08-25) The plugin no longer works due to a major mapillary API break: https://blog.mapillary.com/update/2021/06/23/getting-started-with-the-new-mapillary-api-v4.html]]></description>
        <about><![CDATA[Explore Mapillary street level imagery on QGIS3:  http://www.mapillary.com]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enricofer/go2mapillary]]></homepage>
        <file_name>go2mapillary.2.3.zip</file_name>
        <icon>/media/packages/2019/icon_HZKCp4b.png</icon>
        <author_name><![CDATA[Enrico Ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/go2mapillary/version/2.3/download/</download_url>
        <uploaded_by><![CDATA[enricofer]]></uploaded_by>
        <create_date>2017-05-27T13:14:32.417821+00:00</create_date>
        <update_date>2019-05-25T14:59:39.423116+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/enricofer/go2mapillary/issues]]></tracker>
        <repository><![CDATA[https://github.com/enricofer/go2mapillary]]></repository>
        <tags><![CDATA[browser,service,webservice,street view,mapillary,explorer]]></tags>
        <downloads>29798</downloads>
        <average_vote>4.119835206591736</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Data Plotly" version="4.5.0" plugin_id="1247">
        <description><![CDATA[D3 Plots for QGIS]]></description>
        <about><![CDATA[Draw D3 plots in QGIS]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ghtmtt/DataPlotly/blob/master/README.md]]></homepage>
        <file_name>DataPlotly.4.5.0.zip</file_name>
        <icon>/media/packages/2026/icon_EXcTm7E.png</icon>
        <author_name><![CDATA[Matteo Ghetta (Faunalia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DataPlotly/version/4.5.0/download/</download_url>
        <uploaded_by><![CDATA[ghtmtt]]></uploaded_by>
        <create_date>2017-05-27T14:31:59.014818+00:00</create_date>
        <update_date>2026-04-09T07:01:58.557118+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ghtmtt/DataPlotly/issues]]></tracker>
        <repository><![CDATA[https://github.com/ghtmtt/DataPlotly]]></repository>
        <tags><![CDATA[vector,python,d3,plots,graphs,datavis,dataplotly,dataviz]]></tags>
        <downloads>395859</downloads>
        <average_vote>4.1946167965879315</average_vote>
        <rating_votes>298</rating_votes>
        <external_dependencies></external_dependencies>
        <server>True</server>
    </pyqgis_plugin><pyqgis_plugin name="SuperLabeling" version="ver.1.4" plugin_id="1257">
        <description><![CDATA[Add your label by mouse click only.]]></description>
        <about><![CDATA[Some other similar plugins already exist, which create a memory layer or other layer making somehow difficult to integrate data. This plugin creates label data in the existed files in a minimum manner. You don&#x27;t even need to type any thing, just mouse clicking can be helpful to your work. After you click the &#x27;Start Edition&#x27;, you can just use left click to select position of label and implement the labeling process. Also, you can do left double clicking to hide the label.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Tao4free/QGIS_plugins/tree/master/SuperLabeling3]]></homepage>
        <file_name>SuperLabeling.ver.1.4.zip</file_name>
        <icon>/media/packages/2019/icon_l5QREhx.png</icon>
        <author_name><![CDATA[Tao Lu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SuperLabeling/version/ver.1.4/download/</download_url>
        <uploaded_by><![CDATA[tao4free]]></uploaded_by>
        <create_date>2017-06-20T06:02:15.667771+00:00</create_date>
        <update_date>2019-04-18T09:09:27.166023+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Tao4free/QGIS_plugins/tree/master/SuperLabeling3]]></tracker>
        <repository><![CDATA[https://github.com/Tao4free/QGIS_plugins/tree/master/SuperLabeling3]]></repository>
        <tags><![CDATA[label]]></tags>
        <downloads>22265</downloads>
        <average_vote>4.058584789130051</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ruimtelijke Plannen" version="4.0.0" plugin_id="1265">
        <description><![CDATA[DEPRECATED - Plugin for using Dutch online zoning plans from https://omgevingswet.overheid.nl/regels-op-de-kaart/]]></description>
        <about><![CDATA[Door de toenemende mate waar van fouten of bugs die in de plug-in worden geconstateerd en het gebrek aan kennis en capaciteit om de plug-in te beheren is er gekozen om de plug-in als deprecated te markeren. Ontwikkelaars kunnen zelf iets nieuws ontwikkelen op de endpoints zoals die worden gegeven door het kadaster om voort te borduren op de juiste en meest actuele data in Regels op de Kaart. Plugin for using Dutch online zoning plans from https://omgevingswet.overheid.nl/regels-op-de-kaart/. Layer actions are defined to open linked texts in a web browser. This plug-in was developed with the help of ChatGPT and is therefore not as structured as a plug-in normally is. An API Key can be requested at https://aandeslagmetdeomgevingswet.nl/ontwikkelaarsportaal/formulieren/api-key-aanvragen-0/]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ProvincieZeeland/RegelsOpDeKaart_qgisplugin]]></homepage>
        <file_name>RuimtelijkePlannen.4.0.0.zip</file_name>
        <icon>/media/packages/2025/ruimtelijkeplannen.svg</icon>
        <author_name><![CDATA[Tim Dubbeldam - Provincie Zeeland, Jos Rijborz - Provincie Zeeland (for QGIS2), Raymond Nijssen - OpenGeoGroep (for QGIS2), Marco Duiker - OpenGeoGroep (for QGIS3)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RuimtelijkePlannen/version/4.0.0/download/</download_url>
        <uploaded_by><![CDATA[raymondnijssen]]></uploaded_by>
        <create_date>2017-06-26T20:59:26.687189+00:00</create_date>
        <update_date>2024-10-17T11:10:50.199509+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/ProvincieZeeland/RegelsOpDeKaart_qgisplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ProvincieZeeland/RegelsOpDeKaart_qgisplugin]]></repository>
        <tags><![CDATA[ruimtelijkeplannen.nl,ro-online,zoning plans,bestemmingsplan,imro,ruimtelijke,plannen,omgevingswet,regelsopdekaart,regels]]></tags>
        <downloads>20358</downloads>
        <average_vote>4.499850004999833</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Digitizr" version="1.2.0" plugin_id="1266">
        <description><![CDATA[Digitize a line and have a buffer around it immediately]]></description>
        <about><![CDATA[Digitize a line and have a buffer around it immediately at set width stored in a polygonal layer. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nextgis/qgis_digitizr]]></homepage>
        <file_name>digitizr.1.2.0.zip</file_name>
        <icon>/media/packages/2017/plugin.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/digitizr/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2017-06-27T07:28:09.351637+00:00</create_date>
        <update_date>2024-11-19T13:44:10.270284+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_digitizr/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_digitizr]]></repository>
        <tags><![CDATA[buffer,tool,nextgis,digitize]]></tags>
        <downloads>24017</downloads>
        <average_vote>4.058584789130051</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Anaximandre" version="1.2" plugin_id="1269">
        <description><![CDATA[A plugin for auto drawing 3D Shapefiles from topographical survey.]]></description>
        <about><![CDATA[Dessin automatisé de shapeFile 3D à partir de fichiers csv au format Num,X,Y,Z,Desc1,Desc2,Code.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FFouriauxEveha/Anaximandre]]></homepage>
        <file_name>Anaximandre.1.2.zip</file_name>
        <icon>/media/packages/2021/icon_XMGK1TQ.png</icon>
        <author_name><![CDATA[F.Fouriaux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Anaximandre/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[ffouriaux]]></uploaded_by>
        <create_date>2017-07-05T05:23:23.011838+00:00</create_date>
        <update_date>2021-04-20T14:53:33.803172+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FFouriauxEveha/Anaximandre/issues]]></tracker>
        <repository><![CDATA[https://github.com/FFouriauxEveha/Anaximandre]]></repository>
        <tags><![CDATA[shapefile,cad,geometry,topography,csv,3d,codification]]></tags>
        <downloads>29773</downloads>
        <average_vote>4.499826929733471</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BGT Import" version="3.24" plugin_id="1270">
        <description><![CDATA[Import Basisregistratie Grootschalige Topografie (BGT) for QGIS3]]></description>
        <about><![CDATA[This plugin imports the Dutch Basisregistratie Grootschalige Topografie (BGT) directly from download or via individual gml files.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MarcoDuiker/QGIS_BGT_Import/]]></homepage>
        <file_name>BGTImport.3.24.zip</file_name>
        <icon>/media/packages/2025/icon_6knreLL.png</icon>
        <author_name><![CDATA[Marco Duiker - MD-kwadraat]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BGTImport/version/3.24/download/</download_url>
        <uploaded_by><![CDATA[marcoduiker]]></uploaded_by>
        <create_date>2017-07-05T06:15:20.355498+00:00</create_date>
        <update_date>2025-11-10T10:40:38.758381+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MarcoDuiker/QGIS_BGT_Import/issues/]]></tracker>
        <repository><![CDATA[https://github.com/MarcoDuiker/QGIS_BGT_Import/]]></repository>
        <tags><![CDATA[import,gml,bgt]]></tags>
        <downloads>50755</downloads>
        <average_vote>4.219409282700422</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Coordtransform" version="1.1" plugin_id="1280">
        <description><![CDATA[transform x,y input coordinate to whatever new reference system]]></description>
        <about><![CDATA[This plugin let the user transform x,y input coordinate to whatever new reference system using EPSG code number and even USER DEFINED crs. It also displays proj4 crs definition strings for the input and output crs along with the new x,y coordinate. This plugin let the user take advantage of QgsCoordinateReferenceSystem Class functionalities and allows the user to have a conversion software like CartLab inside Qgis. It is very useful when dealing with georeferencing tasks to check one point coordinates in a different CRS or simply when the user would like to know a point&#x27;s coordinates in a different CRS. It extends the functionalities of the custom CS dialog letting the user convert coordinates from whatever CRS to whatever CRS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[www.d2gis.com]]></homepage>
        <file_name>Coordtransform.1.1.zip</file_name>
        <icon>/media/packages/2017/icon_HvKxmJy.png</icon>
        <author_name><![CDATA[Giuseppe De Marco]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Coordtransform/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[demarcog]]></uploaded_by>
        <create_date>2017-07-18T17:31:03.905629+00:00</create_date>
        <update_date>2018-04-18T15:37:15.299616+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/demarcog/Coordtransform/issues]]></tracker>
        <repository><![CDATA[https://github.com/demarcog/Coordtransform]]></repository>
        <tags><![CDATA[point,transformation,crs,coordinate,proj4,epsg,reference system]]></tags>
        <downloads>65572</downloads>
        <average_vote>4.296137180104441</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spanish Inspire Catastral Downloader" version="3.0" plugin_id="1282">
        <description><![CDATA[Descarga de cartografía catastral según Inspire]]></description>
        <about><![CDATA[&lt;p&gt;Plugin de QGIS para la descarga de datos catastrales de parcelas, edificios y direcciones de España. La descarga usa el servicio ATOM según la Directiva Inspire. &lt;a href=&#x27;http://www.catastro.minhap.gob.es/webinspire/index.html&#x27;&gt;http://www.catastro.minhap.gob.es/webinspire/index.html&lt;/a&gt;&lt;/p&gt;&lt;p&gt;QGIS Plugin for the download of cadastral data of parcels, buildings and addresses of Spain. The download uses the ATOM service according to the Inspire Directive. &lt;a href=&#x27;http://www.catastro.minhap.gob.es/webinspire/index_eng.html&#x27;&gt;http://www.catastro.minhap.gob.es/webinspire/index_eng.html&lt;/a&gt;&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sigdeletras/Spanish_Inspire_Catastral_Downloader]]></homepage>
        <file_name>Spanish_Inspire_Catastral_Downloader.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_inClwYp.png</icon>
        <author_name><![CDATA[Patricio Soriano :: SIGdeletras.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Spanish_Inspire_Catastral_Downloader/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[pasoriano]]></uploaded_by>
        <create_date>2017-07-19T10:06:57.310994+00:00</create_date>
        <update_date>2026-03-29T16:55:47.861575+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sigdeletras/Spanish_Inspire_Catastral_Downloader]]></tracker>
        <repository><![CDATA[https://github.com/sigdeletras/Spanish_Inspire_Catastral_Downloader]]></repository>
        <tags><![CDATA[inspire,atom,spain,cadastre,catastro,españa]]></tags>
        <downloads>128590</downloads>
        <average_vote>3.74071303175532</average_vote>
        <rating_votes>135</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qpals" version="1.9.0" plugin_id="1287">
        <description><![CDATA[OPALS software integrated into QGIS]]></description>
        <about><![CDATA[IMPORTANT: This plugin requires an installation of OPALS developed by GEO at TU Wien.
You can get an evaluation copy (processing up to 1.000.000 points) at opals.geo.tuwien.ac.at
When the plugin is first loaded, you will be prompted to set a path to your opals installation.

The point cloud processing software OPALS developed by GEO/TU Wien can be easily accessed from within QGIS through
a custom-made gui. Also, special modules are available for specific tasks, i.e. creating sections.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TUW-GEO/opals_qpals]]></homepage>
        <file_name>qpals.1.9.0.zip</file_name>
        <icon>/media/packages/2025/opalsIcon.png</icon>
        <author_name><![CDATA[Lukas Winiwarter]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qpals/version/1.9.0/download/</download_url>
        <uploaded_by><![CDATA[ottointhesky]]></uploaded_by>
        <create_date>2017-07-26T09:40:46.772247+00:00</create_date>
        <update_date>2025-01-29T12:35:07.587127+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TUW-GEO/opals_qpals/issues]]></tracker>
        <repository><![CDATA[https://github.com/TUW-GEO/opals_qpals]]></repository>
        <tags><![CDATA[lidar,point cloud,laser scanning,opals,als]]></tags>
        <downloads>12026</downloads>
        <average_vote>3.7497656396475216</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PolyStrip" version="3.1.0" plugin_id="1293">
        <description><![CDATA[Polygons along lines]]></description>
        <about><![CDATA[Creates Polygons along line features which can be used as templates for atlas generation.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mach0/polystrip]]></homepage>
        <file_name>polystrip.3.1.0.zip</file_name>
        <icon>/media/packages/2025/polystrip.svg</icon>
        <author_name><![CDATA[Werner Macho]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/polystrip/version/3.1.0/download/</download_url>
        <uploaded_by><![CDATA[macho]]></uploaded_by>
        <create_date>2017-08-03T07:18:22.858511+00:00</create_date>
        <update_date>2025-12-31T16:28:29.969231+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mach0/polystrip/issues]]></tracker>
        <repository><![CDATA[https://github.com/mach0/polystrip]]></repository>
        <tags><![CDATA[polygon,strip]]></tags>
        <downloads>14777</downloads>
        <average_vote>4.730587285104419</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CSMapMaker" version="0.5" plugin_id="1295">
        <description><![CDATA[Make CS topographic map represents valleys by blueish color and ridges by reddish color]]></description>
        <about><![CDATA[CSMapMaker make CS topographic map from terrain raster layer. CS toporographic is made from elevation, curvature and slope. The CS topographic map provides us with many information about distribution of micro-relief in mountain area, and it may be a prominent tool for evaluating landslide susceptibility.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/waigania13/CSMapMaker]]></homepage>
        <file_name>CSMapMaker.0.5.zip</file_name>
        <icon>/media/packages/2017/csmap.png</icon>
        <author_name><![CDATA[Kosuke ASAHI]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CSMapMaker/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[waigania13]]></uploaded_by>
        <create_date>2017-08-05T04:43:08.315811+00:00</create_date>
        <update_date>2019-07-19T08:39:24.887389+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/waigania13/CSMapMaker/issues]]></tracker>
        <repository><![CDATA[https://github.com/waigania13/CSMapMaker]]></repository>
        <tags><![CDATA[raster,terrain]]></tags>
        <downloads>40281</downloads>
        <average_vote>3.8748789100340617</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Isochrones" version="0.1.2" plugin_id="1299">
        <description><![CDATA[Automates isochrone map creation in Qgis]]></description>
        <about><![CDATA[Enables users to easily create isochrone maps from network and catchment data]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Samweli/isochrones]]></homepage>
        <file_name>isochrones.0.1.2.zip</file_name>
        <icon>/media/packages/2022/icon_icPhnLH.png</icon>
        <author_name><![CDATA[Samweli Mwakisambwe]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/isochrones/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[samtwesa]]></uploaded_by>
        <create_date>2017-08-09T16:50:32.167182+00:00</create_date>
        <update_date>2022-11-14T07:52:36.145964+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Samweli/isochrones/issues]]></tracker>
        <repository><![CDATA[https://github.com/Samweli/isochrones]]></repository>
        <tags><![CDATA[map,time,database,routing,accessibility,urban planning]]></tags>
        <downloads>35250</downloads>
        <average_vote>3.6104883106493615</average_vote>
        <rating_votes>95</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QEPANET" version="2.5.6" plugin_id="1300">
        <description><![CDATA[This plugin links QGIS and EPANET. It provides: a set of dedicated editing tools to build a correct EPANET network, to run the simulation and to analyse the results by means of graphs and thematic maps.]]></description>
        <about><![CDATA[This plugins links QGIS and EPANET: it helps creating the EPANET network and analysing the simulation results.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/albertodeluca/qepanet]]></homepage>
        <file_name>qepanet.2.5.6.zip</file_name>
        <icon>/media/packages/2024/icon_OQJ8cMf.png</icon>
        <author_name><![CDATA[UNIBZ - UNITN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qepanet/version/2.5.6/download/</download_url>
        <uploaded_by><![CDATA[mena]]></uploaded_by>
        <create_date>2017-08-10T13:51:50.918866+00:00</create_date>
        <update_date>2024-10-10T06:32:30.857776+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/albertodeluca/qepanet/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/albertodeluca/qepanet]]></repository>
        <tags><![CDATA[epanet,hydraulic modelling,hydraulics]]></tags>
        <downloads>75734</downloads>
        <average_vote>4.362930644958185</average_vote>
        <rating_votes>135</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="XPlanung" version="4.1.0" plugin_id="1301">
        <description><![CDATA[This QGIS plugin allows interaction between QGIS and the XPlan-PostGIS project. XPlanung is a German standard for spatial planning data; it thus addresses German speaking users only.]]></description>
        <about><![CDATA[XPlanung ist ein Standard für den Datenaustausch von Bauleitplänen, Raumordnungsplänen und Landschaftsplänen. Weitere Informationen gibt es auf http://www.xplanungwiki.de/. Das Plugin ermöglicht die Bearbeitung und Anzeige von Daten, die in einer xplan-PostGIS-Datenbank liegen; es benötigt deshalb eine PostGIS-DB mit dem Xplanungs-Schema sowie zusätzlich das Plugin DataDrivenInputMask.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bstroebl/xplanplugin/wiki]]></homepage>
        <file_name>xplanung.4.1.0.zip</file_name>
        <icon>/media/packages/2019/logo_xplanung.png</icon>
        <author_name><![CDATA[Bernhard Ströbl]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xplanung/version/4.1.0/download/</download_url>
        <uploaded_by><![CDATA[best]]></uploaded_by>
        <create_date>2017-08-11T05:52:22.065181+00:00</create_date>
        <update_date>2020-03-19T14:52:47.680849+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bstroebl/xplanplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/bstroebl/xplanplugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>15363</downloads>
        <average_vote>3.396493163910967</average_vote>
        <rating_votes>58</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Inspire Flurstuecke Sachsen und Thüringen" version="0.5.3" plugin_id="1302">
        <description><![CDATA[Download, display and conversion of the Inspire parcels for Thuringia]]></description>
        <about><![CDATA[Remark:
The plugin worked only data from Germany (Thuringia). Thatswhy the plugin is only available in German language.
.
- Download der Inspire Daten Thüringen
- Darstellung Flurstücke und Flurstücksnummern
- Optionale Abspeicherung als Shape + Darstellung
- Optionaler Export nach DXF
.
Bedienung:
Nach Einbinden des PlugIns sind die Funktionen unter dem Menüpunkt &quot;Web&quot; --&gt; &quot;Inspire Flurstuecke&quot; verfügbar.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.makobo.de/links/Forum_SaxonyCadastralParcels.php]]></homepage>
        <file_name>SaxonyCadastralParcels.0.5.3.zip</file_name>
        <icon>/media/packages/2026/icon_6AHnrIU.png</icon>
        <author_name><![CDATA[EZUSoft]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SaxonyCadastralParcels/version/0.5.3/download/</download_url>
        <uploaded_by><![CDATA[ezusoft]]></uploaded_by>
        <create_date>2017-08-11T08:39:18.840264+00:00</create_date>
        <update_date>2026-03-16T10:29:44.190057+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EZUSoft/SaxonyCadastralParcels/issues]]></tracker>
        <repository><![CDATA[https://github.com/EZUSoft/SaxonyCadastralParcels]]></repository>
        <tags><![CDATA[inspire,flurstücke,thüringen]]></tags>
        <downloads>18361</downloads>
        <average_vote>4.687207049559402</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Calidad-CAR" version="1.1.1.p3" plugin_id="1305">
        <description><![CDATA[Calidad-CAR is a tool for mathematical modelling of water quality in rivers.]]></description>
        <about><![CDATA[Calidad-CAR is a tool for mathematical modelling of water quality in rivers. This tool assumes user all ready has the results of water movement modelling with the Hec-Ras modelling system. Calidad-CAR does not require additional modules other than python modules already installed within QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cbdavide/Calidad-CAR]]></homepage>
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        <icon>/media/packages/2019/icon_B5uo8s7.png</icon>
        <author_name><![CDATA[Efrain Domínguez, Wilfredo Marimón Bolivar, David Castelblanco,]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CalidadCAR/version/1.1.1.p3/download/</download_url>
        <uploaded_by><![CDATA[cbdavide]]></uploaded_by>
        <create_date>2017-08-20T13:27:11.799504+00:00</create_date>
        <update_date>2019-03-26T14:20:17.443033+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cbdavide/Calidad-CAR/issues]]></tracker>
        <repository><![CDATA[https://github.com/cbdavide/Calidad-CAR]]></repository>
        <tags><![CDATA[mathematical modelling,water quality]]></tags>
        <downloads>18726</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CDAU Downloader" version="0.3" plugin_id="1312">
        <description><![CDATA[Descarga de capas del Callejero Digital de Andalucía Unificado (España)]]></description>
        <about><![CDATA[&lt;p&gt;Complemento de QGIS para la descarga capas del Callejero Digital de Andalucía Unificado (España). La descarga se realiza mediante el servicio WFS de la Infraestructura de datos Espaciales de Andalucía (España). &lt;a href=&#x27;http://www.callejerodeandalucia.es/portal/web/cdau/&#x27;&gt;Más información sobre el proyecto CDAU. &lt;/a&gt;&lt;/p&gt;&lt;p&gt;QGIS plugin for the download the layers of Callejero Digital de Andalucía Unificado (Spain). The download is performed through the WFS service of the Spatial Data Infrastructure of Andalusia (Spain). &lt;a href=&#x27;http://www.callejerodeandalucia.es/portal/web/cdau/&#x27;&gt;More information about the CDAU project.&lt;/a&gt;&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sigdeletras/CDAUDownloader/]]></homepage>
        <file_name>CDAUDownloader.0.3.zip</file_name>
        <icon>/media/packages/2017/icon_GXIYXFj.png</icon>
        <author_name><![CDATA[Patricio Soriano :: SIGdeletras.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CDAUDownloader/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[pasoriano]]></uploaded_by>
        <create_date>2017-08-28T10:38:45.295600+00:00</create_date>
        <update_date>2017-09-07T06:42:22.085503+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sigdeletras/CDAUDownloader/]]></tracker>
        <repository><![CDATA[https://github.com/sigdeletras/CDAUDownloader/]]></repository>
        <tags><![CDATA[vector,road,wfs,spain,street,callejero,españa,andalusia,cdau,addresses,andalucía,portalero]]></tags>
        <downloads>14101</downloads>
        <average_vote>4.533031131257916</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AGT - Archaeological Geophysics Toolbox" version="3.1.5" plugin_id="1313">
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        <about><![CDATA[Electrical resistivity processing module (Geoscan Research RM15/RM85) contains:
1. Importing
2. Processing:
a. Median filtering
b. Georeferencing
Magnetic data processing module (Sensys MXPDA - GNSS) contains:
1. Importing
2. Processing:
a. Decimation (raw - moving median)
b. Median removal
c. Trend removal
d. Stationary point removal
Magnetic data processing module (Sensys MXPDA/Bartington Grad601 - Grid survey) contains:
1. Importing
2. Processing:
a. Median removal
b. Trend removal
c. Georeferencing
Electromagnetic data processing module(Geonics EM31) contains:
1. Importing
2. Processing:
a. Apparent conductivity calculation
Electromagnetic data processing module (Geophex GEM2, GSSI EMP400) contains:
1. Importing
2. Processing:
a. Spatial GNSS/GEM2/EMP400 shift
b. Median filtering by profile (in-phase, out-of-phase)
c. Moving window filter
d. Geophysical parameter calculation:
i. Calibration
ii. Electrical conductivity and magnetic susceptibility computation
Interpolator module contains: SAGA Inverse Weighted Distance, Multi-level B Spline and Cubic Spline Interpolation functions

Median Filtering Module (raster)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/narimanInrap/AGT/blob/master/README.md]]></homepage>
        <file_name>AGT.3.1.5.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[INRAP - Guillaume Hulin, Francois-Xavier Simon, Nariman Hatami]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AGT/version/3.1.5/download/</download_url>
        <uploaded_by><![CDATA[narimaninrap]]></uploaded_by>
        <create_date>2017-08-29T13:35:02.794626+00:00</create_date>
        <update_date>2024-02-15T08:50:37.863419+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/narimanInrap/AGT/issues]]></tracker>
        <repository><![CDATA[https://github.com/narimanInrap/AGT]]></repository>
        <tags><![CDATA[raster,filter,interpolation,processing,archaeology,survey,inrap,rm85,mxpda,rm15,geophysics,agt,em31,emi,grad601,grid survey,gnns,emp400,gem2,gssi,geophex,saga]]></tags>
        <downloads>111035</downloads>
        <average_vote>4.616375118149066</average_vote>
        <rating_votes>73</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick Attribution" version="3.6" plugin_id="1319">
        <description><![CDATA[Define the attributes for a layer first and then digitize a number of geometries with all the same attributes.]]></description>
        <about><![CDATA[Define the attributes for a layer first and then digitize a number of geometries with all the same attributes.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/quick_attribution]]></homepage>
        <file_name>quick_attribution.3.6.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Matthias Kuhn,OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick_attribution/version/3.6/download/</download_url>
        <uploaded_by><![CDATA[mkuhn]]></uploaded_by>
        <create_date>2017-09-01T15:03:54.053748+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/quick_attribution/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/quick_attribution]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>33658</downloads>
        <average_vote>4.142561245625313</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="trends.earth" version="2.2.6" plugin_id="1330">
        <description><![CDATA[Analyze land change in support of sustainable land management, achieving the Land Degradation Neutrality (LDN) Sustainable Development Goal (SDG), and to support reporting to the Global Environment Facility (GEF) and United Nations Convention to Combat Desertification (UNCCD)]]></description>
        <about><![CDATA[Trends.Earth is a tool for analyzing land change. Trends.Earth supports monitoring changes in productivity, land cover, and soil organic carbon. The tool can support monitoring land degradation for reporting to the Global Environment Facility (GEF) and United Nations Convention to Combat Desertification (UNCCD), as well as tracking progress towards achivement of Sustainable Development Goal (SDG) target 15.3, Land Degradation Neutrality (LDN).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://trends.earth]]></homepage>
        <file_name>LDMP.2.2.6.zip</file_name>
        <icon>/media/packages/2026/trends_earth_logo_square_32x32_W36JRb4.png</icon>
        <author_name><![CDATA[Conservation International]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LDMP/version/2.2.6/download/</download_url>
        <uploaded_by><![CDATA[azvoleff]]></uploaded_by>
        <create_date>2017-09-15T19:55:53.308697+00:00</create_date>
        <update_date>2026-04-13T14:12:40.393547+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ConservationInternational/trends.earth/issues]]></tracker>
        <repository><![CDATA[https://github.com/ConservationInternational/trends.earth]]></repository>
        <tags><![CDATA[land cover,productivity,soil carbon,reporting,ldn,sdg,unccd,land degradation,land degradation neutrality,15.3,sustainable development goals,ldmp]]></tags>
        <downloads>89171</downloads>
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        <rating_votes>88</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ScriptRunner 3" version="3.0.5" plugin_id="1337">
        <description><![CDATA[Run scripts to automate QGIS tasks]]></description>
        <about><![CDATA[Load and run scripts. NOTE: For Windows you need the pywin32 module. ScriptRunner attempts to install it for you if it isn&#x27;t rpresent on your system (Windows only).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://g-sherman.github.io/Script-Runner]]></homepage>
        <file_name>scriptrunner3.3.0.5.zip</file_name>
        <icon>/media/packages/2018/icon_oJvYl5Q.png</icon>
        <author_name><![CDATA[GeoApt LLC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/scriptrunner3/version/3.0.5/download/</download_url>
        <uploaded_by><![CDATA[gsherman]]></uploaded_by>
        <create_date>2017-09-28T01:40:43.906127+00:00</create_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/g-sherman/Script-Runner/issues]]></tracker>
        <repository><![CDATA[https://github.com/g-sherman/Script-Runner]]></repository>
        <tags><![CDATA[python,scripts,pyqgis]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="JapanElevation" version="4.1.0" plugin_id="1339">
        <description><![CDATA[Display elevation value of specified position on QGIS]]></description>
        <about><![CDATA[Display elevation value of specified position on QGIS using Elevation API by Geospatial Information Authority of Japan (GSI).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dayjournal/qgis-japanelevation-plugin]]></homepage>
        <file_name>JapanElevation.4.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_nP2dL8T.png</icon>
        <author_name><![CDATA[Yasunori Kirimoto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/JapanElevation/version/4.1.0/download/</download_url>
        <uploaded_by><![CDATA[dayjournal]]></uploaded_by>
        <create_date>2017-09-29T13:52:05.686162+00:00</create_date>
        <update_date>2026-03-11T14:49:04.748483+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dayjournal/qgis-japanelevation-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/dayjournal/qgis-japanelevation-plugin]]></repository>
        <tags><![CDATA[dem,elevation,japan,gsi]]></tags>
        <downloads>12126</downloads>
        <average_vote>4.23044381201446</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PaPRIKa Toolbox" version="2.2" plugin_id="1343">
        <description><![CDATA[Vulnerability mapping of Karst aquifers]]></description>
        <about><![CDATA[A simple and quick way for karst aquifer vulnerability mapping based on the PaPRIKa method

* More information about the PaPRIKa method:
http://infoterre.brgm.fr/rapports/RP-57527-FR.pdf
and the associated QGIS plugin:
https://doi.org/10.1111/gwat.12855

* Examples of application:
http://link.springer.com/article/10.1007/s10040-010-0688-8
and
https://doi.org/10.3390/environments6030039

* To cite this plugin:
Ollivier C., Lecomte Y., Chalikakis K., Mazzilli N., Danquigny C. and Emblanch C., 2019.
A QGIS Plugin Based on the PaPRIKa Method for Karst Aquifer Vulnerability Mapping.
Groundwater, Wiley, 2019, 57 (2),
https://doi.org/10.1111/gwat.12855]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Paprika-plugins/PaPRIKa]]></homepage>
        <file_name>Paprika.2.2.zip</file_name>
        <icon>/media/packages/2024/icon_SET5RjB.png</icon>
        <author_name><![CDATA[Chloe Ollivier (UMR EMMAH) - Konstantinos Chalikakis (UMR EMMAH) - Yoann Lecomte (CARTYL)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Paprika/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[yolecomte]]></uploaded_by>
        <create_date>2017-10-06T09:54:44.621899+00:00</create_date>
        <update_date>2024-01-18T09:28:17.620331+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Paprika-plugins/PaPRIKa/issues]]></tracker>
        <repository><![CDATA[https://github.com/Yolecomte/PaPRIKa]]></repository>
        <tags><![CDATA[vector,raster,vulnerability,karst,paprika]]></tags>
        <downloads>4476</downloads>
        <average_vote>3.799240151969606</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geodesic Densifier" version="1.2" plugin_id="1346">
        <description><![CDATA[Adds vertices to geometry along geodesic lines]]></description>
        <about><![CDATA[Add vertices between points along geodesic lines.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GeoscienceAustralia/GeodesicDensifier]]></homepage>
        <file_name>GeodesicDensifier.1.2.zip</file_name>
        <icon>/media/packages/2018/icon_UIJMU4w.png</icon>
        <author_name><![CDATA[Jonah Sullivan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeodesicDensifier/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[jonahsullivan]]></uploaded_by>
        <create_date>2017-10-12T00:22:20.112173+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoscienceAustralia/GeodesicDensifier/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoscienceAustralia/GeodesicDensifier]]></repository>
        <tags><![CDATA[vector,feature,point,polyline,geometry,densify,geodesic]]></tags>
        <downloads>16730</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mascaret" version="6.3.1" plugin_id="1350">
        <description><![CDATA[Pre and Post-processing for Mascaret (http://www.opentelemac.org/).]]></description>
        <about><![CDATA[Plugin dedicated to the building and exploitation of Mascaret models.
Requires PostgreSQL, PostGIS and uses the QT5 library for the graphic interface.
Developed by Mehdi-Pierre DAOU,  Aurélien Perrin, Guillaume Isserty, Christophe COULET (Artelia)
With contribution of Philippe BAGOT (Cerema) for storage area
Based on an initial version developped by Matthieu NICOLAS (SPC Maine Loire aval)
Some parts are based on the RiverGIS plugin developped by Radek Pasiok &amp; Lukasz Debek (Many thanks for the work they&#x27;ve done on RiverGis)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Artelia/Mascaret/wiki]]></homepage>
        <file_name>Mascaret.6.3.1.zip</file_name>
        <icon>/media/packages/2026/icon_base_bVQhw0C.png</icon>
        <author_name><![CDATA[Artelia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Mascaret/version/6.3.1/download/</download_url>
        <uploaded_by><![CDATA[daoum]]></uploaded_by>
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        <update_date>2026-03-18T09:13:38.229692+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Artelia/Mascaret/issues]]></tracker>
        <repository><![CDATA[https://github.com/Artelia/Mascaret]]></repository>
        <tags><![CDATA[python,opentelemac]]></tags>
        <downloads>37872</downloads>
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        <rating_votes>13</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Search Layers" version="3.1.2" plugin_id="1353">
        <description><![CDATA[Enhanced textual searching on all QGIS layers and fields.]]></description>
        <about><![CDATA[The Search Layers plugin features enhanced textual vector layer searching in QGIS. This plugin can search across all layers and all fields.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-searchlayers-plugin]]></homepage>
        <file_name>searchlayers.3.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_sy3AFjD.png</icon>
        <author_name><![CDATA[Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/searchlayers/version/3.1.2/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2017-10-20T20:06:11.291030+00:00</create_date>
        <update_date>2026-03-13T18:06:57.518969+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-searchlayers-plugin]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-searchlayers-plugin]]></repository>
        <tags><![CDATA[search,find,textual search,levenshtein,soundex,fuzzy]]></tags>
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        <average_vote>4.422375669175265</average_vote>
        <rating_votes>116</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PisteCreator" version="2.0.1" plugin_id="1354">
        <description><![CDATA[Display along and cross slope infos when editing line layer.]]></description>
        <about><![CDATA[ONF GUI plugins to create tracks with along and cross slopes infos. In French Guyana forest, it&#x27;s not easy to lead engine deep into the wood. The rainy season challenges the earthworks and the tracks degrades, due to the water runoff on inclined tracks. This tool help to avoid tilted tracks during the tracks planification.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SebastienPeillet/PisteCreator]]></homepage>
        <file_name>PisteCreator.2.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_CxpcdcS.png</icon>
        <author_name><![CDATA[Peillet Sebastien]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PisteCreator/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[speillet]]></uploaded_by>
        <create_date>2017-10-20T20:12:18.191652+00:00</create_date>
        <update_date>2021-08-06T15:13:45.847724+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SebastienPeillet/PisteCreator/issues]]></tracker>
        <repository><![CDATA[https://github.com/SebastienPeillet/PisteCreator]]></repository>
        <tags><![CDATA[vector,editing,cad,topography]]></tags>
        <downloads>9675</downloads>
        <average_vote>4.36323970548132</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QRealTime" version="4.4.3" plugin_id="1355">
        <description><![CDATA[This plugin connects you to Aggregate Servers like ODK Central, KoboToolbox and ODK Aggregate. Now it is easier to convert layer into form, import filled data into layer and auto sync the layer.]]></description>
        <about><![CDATA[This software is designed and developed in Indian Institute of Remote Sensing, ISRO for mobile data collection. Form designing to data compilation every step is automated in a way that everything can be done inside GIS environment.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://shivareddyiirs.github.io/QRealTime/]]></homepage>
        <file_name>QRealTime.4.4.3.zip</file_name>
        <icon>/media/packages/2023/icon_77VyAXa.png</icon>
        <author_name><![CDATA[Shiva Reddy Koti, Prabhakar Alok Verma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QRealTime/version/4.4.3/download/</download_url>
        <uploaded_by><![CDATA[shivareddyiirs]]></uploaded_by>
        <create_date>2017-10-25T08:06:15.144536+00:00</create_date>
        <update_date>2023-11-01T11:01:57.950668+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/shivareddyiirs/QRealTime/]]></tracker>
        <repository><![CDATA[https://github.com/shivareddyiirs/QRealTime/]]></repository>
        <tags><![CDATA[forms,data collection,odk,mobile gis,kobo,kobotoolbox,xforms]]></tags>
        <downloads>35786</downloads>
        <average_vote>4.70443853548783</average_vote>
        <rating_votes>44</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ZoomToBelgium" version="2.3" plugin_id="1356">
        <description><![CDATA[A button to zoom to any of the Belgian administrative boundaries (country, region, community, province, municipality or district). Een knop om naar één van de Belgische administratieve grenzen te zoomen (land, gewest, gemeenschap, provincie, gemeente of district). Un bouton pour zoomer sur une des limites administratives belges (pays, region, communauté, province, commune ou district).]]></description>
        <about><![CDATA[This plugin adds a button to your toolbar in QGIS to zoom to a selected Belgian administrative boundary (country, region, community, province, municipality or district).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://codeberg.org/gis-projects/ZoomToBelgium]]></homepage>
        <file_name>ZoomToBelgium.2.3.zip</file_name>
        <icon>/media/packages/2026/icon_nlfJMaD.png</icon>
        <author_name><![CDATA[Michel Stuyts]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ZoomToBelgium/version/2.3/download/</download_url>
        <uploaded_by><![CDATA[mstuyts]]></uploaded_by>
        <create_date>2017-10-27T13:12:44.193470+00:00</create_date>
        <update_date>2026-02-18T10:11:22.076156+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://codeberg.org/gis-projects/ZoomToBelgium/issues]]></tracker>
        <repository><![CDATA[https://codeberg.org/gis-projects/ZoomToBelgium]]></repository>
        <tags><![CDATA[zoom,belgie,belgium,community,region,land,municipality,belgique,belgian,district,province,provincie,gemeente,commune,gemeenschap,communauté,région,country,pays,gewest]]></tags>
        <downloads>19560</downloads>
        <average_vote>4.332972252312308</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Virtual Raster Builder" version="0.9.20210222T174536.master" plugin_id="1361">
        <description><![CDATA[A QGIS Plugin to create GDAL Virtual Raster (VRT) files by drag and drop.]]></description>
        <about><![CDATA[&lt;p&gt;The VRT Builder is a plugin to create GDAL Virtual Raster (VRT) files by drag and drop. It helps to create new images by stacking or mosaicing of source image bands, as well as to describe band- and spatial subsets. &lt;/p&gt;&lt;p&gt;The VRT Builder is developed at Geographic Institute of Humboldt-Universität zu Berlin within the EnMAP-Box project under contract of the German Research Centre for Geosciences (GFZ). &lt;br/&gt;The EnMAP-Box project is part of the EnMAP Core Science Team activities (www.enmap.org), funded by the German Aerospace Center (DLR) and granted by the Federal Ministry of Economic Affairs and Energy (BMWi, grant no. 50EE1529).&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://virtual-raster-builder.readthedocs.io]]></homepage>
        <file_name>vrtbuilderplugin.0.9.20210222T174536.master.zip</file_name>
        <icon>/media/packages/2021/icon_i9lKWzS.png</icon>
        <author_name><![CDATA[Benjamin Jakimow, Geomatics Lab, Humboldt-Universität zu Berlin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vrtbuilderplugin/version/0.9.20210222T174536.master/download/</download_url>
        <uploaded_by><![CDATA[jakimowb]]></uploaded_by>
        <create_date>2017-11-10T15:25:11.097376+00:00</create_date>
        <update_date>2021-02-22T16:48:10.652416+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/jakimowb/virtual-raster-builder/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/jakimowb/virtual-raster-builder]]></repository>
        <tags><![CDATA[raster,gdal,vrt,virtual raster]]></tags>
        <downloads>85013</downloads>
        <average_vote>3.7856241518059095</average_vote>
        <rating_votes>42</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Advanced Line Editor" version="1.3" plugin_id="1362">
        <description><![CDATA[Adds line editing tools (segment deletion, ...)]]></description>
        <about><![CDATA[This plugin adds functionality to enable faster line editing, esp. when working with 3D lines (preserving Z-Coordinate). Labelling of lines with a &quot;status&quot;-Attribute is also possible.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://geo.tuwien.ac.at]]></homepage>
        <file_name>ale.1.3.zip</file_name>
        <icon>/media/packages/2019/icon_RYaAaTe.png</icon>
        <author_name><![CDATA[lwiniwar, TU Wien]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ale/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[lwiniwar]]></uploaded_by>
        <create_date>2017-11-10T15:40:40.680236+00:00</create_date>
        <update_date>2019-01-24T14:46:09.984369+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lwiniwar/ALE/issues]]></tracker>
        <repository><![CDATA[https://github.com/lwiniwar/ALE]]></repository>
        <tags><![CDATA[line,line editing,breakline]]></tags>
        <downloads>80297</downloads>
        <average_vote>4.0237137211018785</average_vote>
        <rating_votes>42</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UMEP" version="4.5" plugin_id="1364">
        <description><![CDATA[Urban Multi-scale Environmental Predictor]]></description>
        <about><![CDATA[UMEP is an extensive plugin designed for urban climate in general and climate sensitive planning applications in particular. The plugin consist of a pre-processor, a processor and a post-processor. This plugin is a collaboration between University of Gothenburg, University of Helsinki and University of Reading.

Some of the tools in UMEP requires Python libraries not included in the default QGIS installation. See Section 2.3 in the UMEP homepage.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://umep-docs.readthedocs.io]]></homepage>
        <file_name>UMEP.4.5.zip</file_name>
        <icon>/media/packages/2026/icon_umep.png</icon>
        <author_name><![CDATA[Fredrik Lindberg - Sue Grimmond - Niklas Krave - Leena Jarvi - Helen Ward - Shiho Onomura - Christoph Kent - Natalie Theeuwes - Andy Gabey - Frans Olofson - Ting Sun - Bei Huang - Nils Wallenberg - Oscar Bäcklin - Jeremy Bernard - Sandro Oswald - Matthias ]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/UMEP/version/4.5/download/</download_url>
        <uploaded_by><![CDATA[biglimp]]></uploaded_by>
        <create_date>2017-11-17T15:26:33.568517+00:00</create_date>
        <update_date>2026-02-18T15:36:24.853005+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UMEP-dev/UMEP/issues]]></tracker>
        <repository><![CDATA[https://github.com/UMEP-dev/UMEP]]></repository>
        <tags><![CDATA[modelling,shadow,urban planning,urban climate,urban geometry,urban morphology,solar energy]]></tags>
        <downloads>77001</downloads>
        <average_vote>4.721234078129867</average_vote>
        <rating_votes>61</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SentinelHub" version="2.0.3" plugin_id="1370">
        <description><![CDATA[SentinelHub plugin enables users to harness the power of Sentinel Hub services directly from QGIS.]]></description>
        <about><![CDATA[This plugin allows you to directly access Copernicus satellite imagery in QGIS, enabling exploration, customization and image download. Sentinel-1, Sentinel-2, Sentinel-3 and Sentinel-5P and Copernicus DEM data can be directly loaded into QGIS for visualization and analysis. The plugin allows choosing the satellite sensor, the image date, the maximum cloud coverage per tile, and loading the imagery directly into your GIS.
The datasets are made available through the services of the Copernicus Data Space Ecosystem or Sentinel Hub, so either a Copernicus Data Space Ecosystem account or a Sentinel Hub account is required in order to use the plugin. The plugin transforms any layer defined in &lt;a href=&quot;https://shapps.dataspace.copernicus.eu/dashboard/#/account/settings&quot;&gt; Copernicus Data Space User Dashboard&lt;/a&gt;  or the  &lt;a href=&quot;https://apps.sentinel-hub.com/dashboard/#/configurations&quot;&gt; Sentinel Hub Configuration Utility &lt;/a&gt; into a QGIS layer.
Copernicus Data Space Ecosystem accounts can be created completely free of charge &lt;a href=&quot;https://identity.dataspace.copernicus.eu/auth/realms/CDSE/login-actions/registration?client_id=account-console&amp;tab_id=_AfaeUKDcX8&quot;&gt; here:&lt;/a&gt;

Sentinel Hub trial accounts are available &lt;a href=&quot;http://www.sentinel-hub.com/create_account&quot;&gt; here &lt;/a&gt;, with free accounts open for request &lt;a href=&quot;https://medium.com/sentinel-hub/sentinel-hub-at-the-eo-cloud-free-accounts-for-r-d-projects-eccb3e3d0659&quot;&gt;here &lt;/a&gt; or &lt;a href=&quot;https://medium.com/sentinel-hub/sentinel-hub-free-accounts-within-esa-business-applications-b0046c0595f0&quot;&gt; here &lt;/a&gt;.

Disclaimer: CDSE endpoint may not work in MacOS. For more information about OGC Services documentation please check &lt;a href=&quot;https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/OGC.html&quot;&gt; this link&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sentinel-hub/sentinelhub-qgis-plugin]]></homepage>
        <file_name>SentinelHub.2.0.3.zip</file_name>
        <icon>/media/packages/2026/favicon.ico</icon>
        <author_name><![CDATA[Sinergise]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SentinelHub/version/2.0.3/download/</download_url>
        <uploaded_by><![CDATA[sentinelhub]]></uploaded_by>
        <create_date>2017-11-30T16:30:22.897726+00:00</create_date>
        <update_date>2026-03-18T14:43:35.607509+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sentinel-hub/sentinelhub-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/sentinel-hub/sentinelhub-qgis-plugin]]></repository>
        <tags><![CDATA[viewer,landsat,dem,remote sensing,download,sentinel,images,satellite,sentinelhub,modis,sinergise]]></tags>
        <downloads>187261</downloads>
        <average_vote>4.555509540307673</average_vote>
        <rating_votes>99</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PowerPan" version="2.0" plugin_id="1372">
        <description><![CDATA[PowerPan lets you explore an area inch by inch.]]></description>
        <about><![CDATA[PowerPan gives you four buttons to pan around in the four cardinal directions, with the option of setting the horizontal and vertical overlap amounts between consequent views.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/powerpan/]]></homepage>
        <file_name>powerpan.2.0.zip</file_name>
        <icon>/media/packages/2018/icon_4rwvFxx.png</icon>
        <author_name><![CDATA[Alberto De Luca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/powerpan/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[bertazza]]></uploaded_by>
        <create_date>2017-12-07T14:11:17.480835+00:00</create_date>
        <update_date>2018-06-21T13:33:49.679007+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/albertodeluca/PowerPan/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/albertodeluca/PowerPan]]></repository>
        <tags><![CDATA[map,pan,navigation,overlap]]></tags>
        <downloads>10082</downloads>
        <average_vote>4.272338878283793</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ZEB Toolbox" version="1.0.0" plugin_id="1373">
        <description><![CDATA[toolbox for data of road monitoring and assessment in Germany (ZEB)]]></description>
        <about><![CDATA[The data of road monitoring and assessment in Germany are stored in a specific XML-schema, which cannot be read by different GI-systems. This plugin enables QGIS to extract the spatial information from the XML-files called Georohdaten and Rasterrohdaten and display them as temporary layers (directly in memory). Just ZEB-files of the type &quot;Rohdaten[...]Geo&quot; can be displayed in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jagodki/zebtoolbox]]></homepage>
        <file_name>ZebToolbox.1.0.0.zip</file_name>
        <icon>/media/packages/2018/icon_kwcJ3LZ.png</icon>
        <author_name><![CDATA[Christoph Jung]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ZebToolbox/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[jagodki]]></uploaded_by>
        <create_date>2017-12-13T17:18:42.747875+00:00</create_date>
        <update_date>2018-05-20T09:35:15.149718+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jagodki/zebtoolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/jagodki/zebtoolbox]]></repository>
        <tags><![CDATA[zeb]]></tags>
        <downloads>8375</downloads>
        <average_vote>4.4439506721475395</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GPX Segment Importer" version="3.2" plugin_id="1376">
        <description><![CDATA[This plugin imports an GPX file and creates short line segments between the track points]]></description>
        <about><![CDATA[This plugin imports an GPX file and creates short line segments between the track points. Features include:
* Available as QGIS dialog in toolbar and also as QGIS algorithm for usage in processing
* [dialog, algorithm] Read all attributes available from each track point at the segment start and/or end. This includes the timestamp and the elevation as well as any other attributes added to a track point.
* [dialog] Select one or multiple GPX files with the same data structure at once.
* [dialog] To gain full control over the data, you can edit the attribute table before creating the segment layer. You can exclude attributes, modify the attribute label and change the data type (integer, double, boolean or string) if the automatic type detection failed, e.g. at numeric data that contains “Null” or “None” values. Also, the plugin detects empty attributes and excludes it by default.
* [dialog, algorithm] Optionally calculate motion attributes (track points indices, distance, speed, duration and elevation_diff) between track points.
* [algorithm] Second algorithm &#x27;Track segment creator&#x27; to apply line segment creator to any point vector dataset that has a timestamp attribute.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SGroe/gpx-segment-importer]]></homepage>
        <file_name>GpxSegmentImporter.3.2.zip</file_name>
        <icon>/media/packages/2024/icon_xJ9or0v.svg</icon>
        <author_name><![CDATA[Simon Gröchenig]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GpxSegmentImporter/version/3.2/download/</download_url>
        <uploaded_by><![CDATA[sgroe]]></uploaded_by>
        <create_date>2017-12-18T15:22:01.658003+00:00</create_date>
        <update_date>2024-07-09T11:23:46.761939+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SGroe/gpx-segment-importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/SGroe/gpx-segment-importer]]></repository>
        <tags><![CDATA[gps,gpx,importer,segment]]></tags>
        <downloads>106258</downloads>
        <average_vote>4.0643850198380695</average_vote>
        <rating_votes>31</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TlugProcessing" version="2.7.99" plugin_id="1377">
        <description><![CDATA[TLUBN Algorithms (is continued as ThToolBox)]]></description>
        <about><![CDATA[This is a processing tools collection of the Thüringer Landesamt für Umwelt, Bergbau und Naturschutz (TLUBN).
&lt;p&gt;File Tools&lt;/p&gt;
&lt;p&gt;2D -&gt; 3D&lt;/p&gt;
&lt;p&gt;To Profile Coordinates&lt;/p&gt;
&lt;p&gt;Vector Seletion&lt;/p&gt;
&lt;p&gt;Web&lt;/p&gt;
&lt;p&gt;&lt;a href=&#x27;https://github.com/Mi-Kbs-gis/ThToolBox/raw/master/help/ThToolBox_Doc_de.pdf&#x27;&gt;Documentation(DE)&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href=&quot;http://tlubn-thueringen.de&quot;&gt;TLUBN&lt;/a&gt;&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mi-Kbs-gis/ThToolBox]]></homepage>
        <file_name>TlugProcessing.2.7.99.zip</file_name>
        <icon>/media/packages/2018/TlugProcessing_Logo.png</icon>
        <author_name><![CDATA[Michael Kürbs by Thüringer Landesamt für Umwelt, Bergbau und Naturschutz (TLUBN)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TlugProcessing/version/2.7.99/download/</download_url>
        <uploaded_by><![CDATA[mkthuringia]]></uploaded_by>
        <create_date>2017-12-21T10:46:51.274464+00:00</create_date>
        <update_date>2019-02-18T05:47:00.748688+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mi-Kbs-gis/ThToolBox/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mi-Kbs-gis/ThToolBox]]></repository>
        <tags><![CDATA[vector,raster,sample,web,wms,table,dem,processing,3d,linear referencing,lines,download,cross section,point cloud,duplicates,z,profil,2.5d,file list]]></tags>
        <downloads>17805</downloads>
        <average_vote>3.3996600339966005</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SRTM-Downloader" version="3.3.1" plugin_id="1379">
        <description><![CDATA[Downloads SRTM Tiles from NASA Server]]></description>
        <about><![CDATA[Plugin for download of SRTM Tiles from NASA]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hdus/SRTM-Downloader/wiki]]></homepage>
        <file_name>SRTM-Downloader.3.3.1.zip</file_name>
        <icon>/media/packages/2026/icon_hUK5YnL.png</icon>
        <author_name><![CDATA[Dr. Horst Duester]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SRTM-Downloader/version/3.3.1/download/</download_url>
        <uploaded_by><![CDATA[hdus]]></uploaded_by>
        <create_date>2018-01-01T15:17:16.956960+00:00</create_date>
        <update_date>2025-12-07T16:11:08.139921+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hdus/SRTM-Downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/hdus/SRTM-Downloader]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>626672</downloads>
        <average_vote>4.078941405056425</average_vote>
        <rating_votes>684</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Batch Hillshader" version="2.4.4" plugin_id="1380">
        <description><![CDATA[Plugin to generate a three light exposure hillshade (shaded relief by combining three light exposures)]]></description>
        <about><![CDATA[This plugin generates a three light exposure hillshade (shaded relief by combining three light exposures) using
as input LiDAR classified data (ASPRS classification / *.las format) or a Digital Terrain Model (DTM) in
raster format (GEOTiff / ASCII). The three light exposures combining method is based in Gantenbein (2012): &lt;(http://pubs.usgs.gov/of/2012/1171/)&gt;

You can use LasPy Library to process LiDAR data (ASPRS las format). From version 2.3.0 user can generates a terrain hillshade and a surfaces hillshade (only with LasPy processing mode). The surfaces hillshade is generated using only the first LiDAR returns.

For more information see readme.md at plugin folder (see Installed version at the end)



2.4.4 : Updated for LasPy versions 1.x and 2.x. Fixed for numpy versions &gt;= 1.24
2.4.3 : Fix import gdalconst import error in QGIS &gt;=3.22
2.4.2 : Process with zipped LiDAR files is not available. Only process unzipped LiDAR files
2.4.1 : ModuleNotFoundError due LASPy Library -&gt; LasPyNotFoundError
2.4.0 : Deleted external dependencies (FUSION and LASTools). Process with zipped LiDAR files is available (LASzip)
2.3.0 : Added option to generate a terrain hillshade and a surface hillshade at LasPy mode]]></about>
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        <repository><![CDATA[https://github.com/PANOimagen/batch_hillshader]]></repository>
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    </pyqgis_plugin><pyqgis_plugin name="CoGo Plugin" version="3.8" plugin_id="1383">
        <description><![CDATA[A plugin to capture coordinates, bearings and distances and to use these to construct and manage land parcels.]]></description>
        <about><![CDATA[Sponsored by SpatialMatrix]]></about>
        <trusted>False</trusted>
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        <author_name><![CDATA[Kartoza]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/parcel_plugin/version/3.8/download/</download_url>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Split Polygon" version="1.2" plugin_id="1387">
        <description><![CDATA[Split polygon is a QGIS plugin developed to solve the problem of dividing polygons into different ways]]></description>
        <about><![CDATA[Split polygon is a QGIS plugin developed to solve the problem of dividing polygons into different ways. This can be very useful in jobs like land parceling and many others. The user can define 4 ways of dividing by himself. The offered options of division are: - one cut by entered area - one cut once by entered percentage of polygons area - multiple cuts into equal parts - multiple cuts into parts with an equal width]]></about>
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        <author_name><![CDATA[Main creator Uros Ilic, adapted for QGIS3 by Luis Eduardo]]></author_name>
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        <uploaded_by><![CDATA[2511992]]></uploaded_by>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Asistente LADM-COL" version="3.1.13" plugin_id="1391">
        <description><![CDATA[Assistant to capture and manage data for Colombian multipurpose cadastre]]></description>
        <about><![CDATA[Plugin de QGIS que ayuda a capturar y mantener datos conformes con LADM-COL y a generar archivos de intercambio de INTERLIS (.XTF).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
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        <homepage><![CDATA[https://github.com/SwissTierrasColombia/Asistente-LADM-COL]]></homepage>
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        <icon>/media/packages/2023/icon_KqDKtaf.png</icon>
        <author_name><![CDATA[SwissTierras Colombia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/asistente_ladm_col/version/3.1.13/download/</download_url>
        <uploaded_by><![CDATA[lacardonap]]></uploaded_by>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Physiocap3" version="3.34.1" plugin_id="1399">
        <description><![CDATA[This plugin helps analysing raw data from
Physiocap inside QGIS3. This is a plugin dedicaded
to Physiocap users &quot;Agronomist of the vine&quot;.
This version is available in French &amp; English
But French documentation exists only.
Cette extension aide à l&#x27;analyse des données brutes
de Physiocap sans quitter QGIS3. Il est dédié aux
utilisateurs de Physiocap &quot;Agronome de la vigne&quot;]]></description>
        <about><![CDATA[Physiocap est un capteur qui géolocalise les sarments d&#x27;une vigne.
L&#x27;extension (plugin) Physiocap n&#x27;intéresse que le métier &quot;Agronomie de la vigne&quot;.
Physiocap est breveté par le CIVC.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/jhemmi/Physiocap3/wiki]]></homepage>
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        <icon>/media/packages/2023/icon_e04enw0.png</icon>
        <author_name><![CDATA[jhemmi.eu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Physiocap3/version/3.34.1/download/</download_url>
        <uploaded_by><![CDATA[jhemmi]]></uploaded_by>
        <create_date>2018-02-01T10:30:15.386667+00:00</create_date>
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        <repository><![CDATA[https://github.com/jhemmi/Physiocap3]]></repository>
        <tags><![CDATA[agriculture,hemmi,sarment,physiocap,jhemmi.eu,biomasse,e.re.c.a,civc,section,diamètre]]></tags>
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        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Calculate Geometry" version="0.6.12" plugin_id="1402">
        <description><![CDATA[Calculates area, length, in arbitrary units, without typing expressions]]></description>
        <about><![CDATA[This plugin calculates the area of the polygon and the length of the line, in arbitrary units. Compared to using field calculator, you don&#x27;t need to type calculation expressions and unit conversion factor, so you can get results with fewer steps. It runs from the context menu of the vector layer in the Layers panel.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/CalculateGeometry]]></homepage>
        <file_name>CalculateGeometry.0.6.12.zip</file_name>
        <icon>/media/packages/2026/icon_YkccaxV.svg</icon>
        <author_name><![CDATA[Tarot Osuji]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CalculateGeometry/version/0.6.12/download/</download_url>
        <uploaded_by><![CDATA[tarot]]></uploaded_by>
        <create_date>2018-02-06T14:17:56.329438+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tarot231/qgis-calculate-geometry-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/tarot231/qgis-calculate-geometry-plugin]]></repository>
        <tags><![CDATA[calculator,geometry]]></tags>
        <downloads>276826</downloads>
        <average_vote>4.14502234724295</average_vote>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CoordGuesser" version="1.0" plugin_id="1404">
        <description><![CDATA[Unscrambles, parses and guesses coordinates.]]></description>
        <about><![CDATA[This plugin parses misstyped or scrambled coordinates from different projections to WGS84-Geo. For example, DMS and partial DMS (148 - 11&#x27; 7&quot;, 23 - 29&#x27; 24&quot;), Commas instead of points (40°38&#x27;51,14&quot;, 40°38&#x27;50,67&quot;), UTM without a zone and missing the leftmost digit (?90950,3431318.8)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jicrbuh/CoordinateGuesser]]></homepage>
        <file_name>CoordGuesser.1.0.zip</file_name>
        <icon>/media/packages/2018/icon_Mfmxt4q.png</icon>
        <author_name><![CDATA[Ben Avrahami, Idan Miara and Chen Barnoy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CoordGuesser/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[idanool]]></uploaded_by>
        <create_date>2018-02-07T12:45:32.047158+00:00</create_date>
        <update_date>2018-04-12T10:21:43.759408+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jicrbuh/CoordinateGuesser/issues]]></tracker>
        <repository><![CDATA[https://github.com/jicrbuh/CoordinateGuesser]]></repository>
        <tags><![CDATA[coordinates guess unscramble parse]]></tags>
        <downloads>11777</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Template Print" version="2.6" plugin_id="1408">
        <description><![CDATA[This plugin makes it easy to print using templates and text]]></description>
        <about><![CDATA[This plugin makes it easy to fill text items in print templates and place/rotate plot.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.giskonsulenten.dk/wp-content/uploads/2018/02/documentation.pdf]]></homepage>
        <file_name>EasyTemplatePrint.2.6.zip</file_name>
        <icon>/media/packages/2023/icon_Dc4gFHc.png</icon>
        <author_name><![CDATA[Jesper Jøker Eg - GISkonsulenten]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/EasyTemplatePrint/version/2.6/download/</download_url>
        <uploaded_by><![CDATA[giskonsulenten]]></uploaded_by>
        <create_date>2018-02-12T07:09:56.423147+00:00</create_date>
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        <tags><![CDATA[python,print,qgis,templates]]></tags>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="iso4app" version="1.5" plugin_id="1409">
        <description><![CDATA[iso4app isochrone/isodistance]]></description>
        <about><![CDATA[The Iso4App API is a service of the K-SOL S.r.l. based onto OSM data; it&#x27;s purpose is to provide isolines (isodistances by road, isochrones by road and isodistance by air) to be used in geographic analysis. Isolines by road can be shown as Polygon or Street Network. Population inside the polygon can be shown as attribute table. http://www.iso4app.com]]></about>
        <trusted>False</trusted>
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        <file_name>iso4app.1.5.zip</file_name>
        <icon>/media/packages/2026/icon_9xA2Of2.png</icon>
        <author_name><![CDATA[Maurizio Moscati K-SOL SRL]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/iso4app/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[infoksolit]]></uploaded_by>
        <create_date>2018-02-15T14:49:52.726844+00:00</create_date>
        <update_date>2024-08-30T08:28:22.030068+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ksolsrl/QgisIso4app/issues]]></tracker>
        <repository><![CDATA[https://github.com/ksolsrl/QgisIso4app]]></repository>
        <tags><![CDATA[isochrone,population,street network,catchment area]]></tags>
        <downloads>21394</downloads>
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        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ImportPhotos" version="3.0.8" plugin_id="1410">
        <description><![CDATA[Import Photos]]></description>
        <about><![CDATA[This tool can be used to import Geo-Tagged photos (jpg or jpeg) as points to QGIS. The user is able to select a folder with photos and only the geo-tagged photos will be taken. Then a layer will be created which it will contain the name of the picture, its directory, the date and time taken, altitude, longitude, latitude, azimuth, north, camera maker and model, title, user comment and relative path. The plug-in doesn’t need any third party applications to work. It has two buttons; the one is to import geotagged photos, and the other one is to be able to click on a point and display the photo along with information regarding the date time and altitude. The user can create one of the following file types: GeoJSON, SHP, GPKG, CSV, KML, TAB. When the user saves a project and wants to reopen it, the folder with the pictures should stay at the original file location or moved at the same location of the project (e.g. *.qgz) in order to be able to view the pictures. Mac users please refer to the Read Me file for further guidance. The new version of Import photos gives the ability to the user to use several basic filters on the image and save the picture. To use additional filters, the user needs to use the python package opencv-python.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mariosmsk.com/2019/02/02/qgis-plugin-importphotos/]]></homepage>
        <file_name>ImportPhotos.3.0.8.zip</file_name>
        <icon>/media/packages/2019/icon_UQ1IaZC.png</icon>
        <author_name><![CDATA[Marios S. Kyriakou, George A. Christou, Panayiotis S. Kolios, Demetris G. Eliades, KIOS Research and Innovation Center of Excellence (KIOS CoE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ImportPhotos/version/3.0.8/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
        <create_date>2018-02-16T13:36:24.868284+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KIOS-Research/ImportPhotos/issues/]]></tracker>
        <repository><![CDATA[https://github.com/KIOS-Research/ImportPhotos/]]></repository>
        <tags><![CDATA[geotag,jpg,photos,jpeg]]></tags>
        <downloads>545780</downloads>
        <average_vote>4.235591006306266</average_vote>
        <rating_votes>382</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoDataFarm" version="2.20.2" plugin_id="1412">
        <description><![CDATA[For farmers, tracking efforts on the field, planing for next season etc.]]></description>
        <about><![CDATA[This plugin is designed for farmers as both a log for various field operations and a tool to analyze the yield impact of different parameters. It supports all crop types and field parameters, though it has been primarily tested on potatoes. The plugin requires third-party packages, which are typically installed by default with the QGIS plugin QPIP. A stable internet connection is necessary for proper functionality. For questions, feature requests, or modifications, please contact: geodatafarm@gmail.com . The plugin is completely free. If you find it useful, please consider sponsoring the project on [github](https://github.com/sponsors/axelande) to support ongoing development .]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.geodatafarm.com]]></homepage>
        <file_name>geodatafarm.2.20.2.zip</file_name>
        <icon>/media/packages/2019/icon_GZAm32Y.png</icon>
        <author_name><![CDATA[Axel Horteborn]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geodatafarm/version/2.20.2/download/</download_url>
        <uploaded_by><![CDATA[axelande]]></uploaded_by>
        <create_date>2018-02-19T07:58:59.839562+00:00</create_date>
        <update_date>2026-04-15T05:04:59.327494+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/axelande/geodatafarm3/issues]]></tracker>
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        <tags><![CDATA[agriculture,farm,csv file reader,data analysis]]></tags>
        <downloads>40881</downloads>
        <average_vote>4.683964001894637</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Forest Road Designer" version="3.0.91" plugin_id="1414">
        <description><![CDATA[This plugin serves as support of foresters in the design of forest roads]]></description>
        <about><![CDATA[This plugin serves as support of foresters in the design of forest roads. Taking as input a digital terrain model (raster dtm) and a starting polyline or Point layer (whose nodes/points indicates the starting point, end point and the waypoints of the road to be designed), another polyline is produced that meets a series of design requirements established by the user (longitudinal slope among others). This plugin allows user to generate a longitudinal terrain profile of the road designed. The funcionality of the plugin is inspired in the ESRI Arcview Extension PEGGER (http://www.ruraltech.org/tools/pegger/). This plugin has been funded by the Dirección General de Medio Natural del Gobierno de La Rioja and developed by PANOimagen S.L.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.12.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GobiernoLaRioja/forestroaddesigner]]></homepage>
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        <icon></icon>
        <author_name><![CDATA[PANOimagen S.L.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/forestroaddesigner/version/3.0.91/download/</download_url>
        <uploaded_by><![CDATA[gobiernolarioja]]></uploaded_by>
        <create_date>2018-02-19T11:29:44.149842+00:00</create_date>
        <update_date>2023-08-23T07:27:27.231662+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GobiernoLaRioja/forestroaddesigner/issues]]></tracker>
        <repository><![CDATA[https://github.com/GobiernoLaRioja/forestroaddesigner]]></repository>
        <tags><![CDATA[profile,road,dtm,forest,design]]></tags>
        <downloads>10727</downloads>
        <average_vote>4.163180343258301</average_vote>
        <rating_votes>49</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="pgChainage" version="2.0.0" plugin_id="1415">
        <description><![CDATA[plugin for chainage linestrings of a table directly in PostgreSQL/PostGIS]]></description>
        <about><![CDATA[This plugin converts a layer of line strings into a chain of points. The main work takes place directly in the PostgreSQL-/PostGIS-database, i.e. big tables have not to be imported into QGIS before and during processing.
_____
Usage: Fill in the parameters for establishing a connection to the database. The DBMS has to be PostgreSQL, and the extension PostGIS must created before starting the processing.
_____
Press the &quot;connect to database&quot;-button. A Message Bar above the map window will appear and tells the user, whether a connection could established or not.
_____
Choose the table (and schema), which should be used for the chainage. The table must have a geometry column of the type LINESTRING. Then fill in the other fields. The CRS can differ from the CRS of the choosed geometry. The PlugIn calls the PostGIS-function ST_Transform(...) to project the geometries into the specified CRS; to state the CRS of the geometry-column is not necessary. It is recommended to specify a metric CRS. If the checkbox &quot;calculate last point/last substring of lines&quot; is checked, the endpoint and/or the last substring of each line will be calculated by ignoring the specified equidistance (just for the end-geometries) and inserted into the database.
_____
Their are three buttons to start the processing. The button &quot;create points&quot; just creates points along each line. The button &quot;create substrings&quot; just creates lines with the same specified distance from the input layer. The button &quot;create points &amp; substrings&quot; starts both processings.
_____
Important: The plugin has been developed and tested using PostgreSQL 10 and PostGIS 2.4. Maybe it will not work with older versions of the named products, e.g. the chainage is realized by using the PostGIS-function ST_LineInterpolatePoint, which has the name ST_line_interpolate_point e.g. in PostGIS 2.1.
_____
Source of the icon: Webalys - Kameleon Icons (http://www.kameleon.pics)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jagodki/pgChainage]]></homepage>
        <file_name>pgChainage.2.0.0.zip</file_name>
        <icon>/media/packages/2018/icon_SfF0nol.png</icon>
        <author_name><![CDATA[Christoph Jung]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pgChainage/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[jagodki]]></uploaded_by>
        <create_date>2018-02-20T04:31:59.376174+00:00</create_date>
        <update_date>2018-05-20T08:43:00.193150+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jagodki/pgChainage/issues]]></tracker>
        <repository><![CDATA[https://github.com/jagodki/pgChainage]]></repository>
        <tags><![CDATA[vector,postgis,points,line,chainage,postgresql]]></tags>
        <downloads>8534</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Breeder Map" version="0.3.1" plugin_id="1416">
        <description><![CDATA[Creates a field layout for a typical row-column breeder&#x27;s trial]]></description>
        <about><![CDATA[This plug-in allows to create a grid of polygons which define the plots in the breeding trial. These polygons will be labeled automatically with auto-increments for columns and rows. The user needs to define the number of columns (each tractor track) and rows (plots in the direction of the tractor when sowing), as well as the gaps between plot. The placement of the grid is interactive, and it is possible to edit the vertex independently for not regular shapes. It is also important to define the starting plot for correct automatic numbering.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jajberni/BreederMap/wiki]]></homepage>
        <file_name>BreederMap.0.3.1.zip</file_name>
        <icon>/media/packages/2022/icon_xdYe4n5.png</icon>
        <author_name><![CDATA[Jose A. Jimenez-Berni (IAS-CSIC)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BreederMap/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[jajberni]]></uploaded_by>
        <create_date>2018-02-21T14:36:39.369778+00:00</create_date>
        <update_date>2022-04-08T12:49:04.076193+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jajberni/BreederMap/issues]]></tracker>
        <repository><![CDATA[https://github.com/jajberni/BreederMap]]></repository>
        <tags><![CDATA[polygon,field,digitizing,remote sensing,crops,phenotyping]]></tags>
        <downloads>7134</downloads>
        <average_vote>4.3842781324513505</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bivariate legend" version="1.0.2" plugin_id="1417">
        <description><![CDATA[This plugin helps creating bivariate legends]]></description>
        <about><![CDATA[When you need to make bivariate legend, you don&#x27;t want to create the legend yourself. Just use this plugin to produce it.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/webgeodatavore/bivariate_legend/]]></homepage>
        <file_name>BivariateLegend.1.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_xFJhJf4.png</icon>
        <author_name><![CDATA[WebGeoDataVore]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BivariateLegend/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[thomasg]]></uploaded_by>
        <create_date>2018-02-24T23:00:52.436262+00:00</create_date>
        <update_date>2021-02-22T23:53:59.410117+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/webgeodatavore/bivariate_legend/issues]]></tracker>
        <repository><![CDATA[http://github.com/webgeodatavore/bivariate_legend/]]></repository>
        <tags><![CDATA[vector,legend]]></tags>
        <downloads>29262</downloads>
        <average_vote>3.738967870962132</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AcATaMa" version="26.4" plugin_id="1421">
        <description><![CDATA[AcATaMa is a powerful and complete Qgis plugin for accuracy assessment that provides comprehensive support for sampling, response design and estimation.]]></description>
        <about><![CDATA[AcATaMa is a powerful and complete Qgis plugin for accuracy assessment. It provides comprehensive support for sampling, response design and estimation within a design-based inference framework. The primary goal of AcATaMa is to equip users with the necessary tools to comply with international guidance and best practices for sampling design, estimation of land category areas and changes, and map accuracy assessment. The plugin supports accuracy assessment for any thematic map across diverse use cases. A common application is in remote sensing, particularly for land use and land cover classification, environmental monitoring, urban planning, forestry, agriculture, and more. However, AcATaMa is not limited to these applications; some modules, such as sampling and labeling, can be used independently for other user cases.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://smbyc.github.io/AcATaMa]]></homepage>
        <file_name>AcATaMa.26.4.zip</file_name>
        <icon>/media/packages/2026/acatama_kZrDZAg.svg</icon>
        <author_name><![CDATA[Xavier Corredor Llano, SMByC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AcATaMa/version/26.4/download/</download_url>
        <uploaded_by><![CDATA[xaviercll]]></uploaded_by>
        <create_date>2018-03-07T05:46:34.189541+00:00</create_date>
        <update_date>2026-04-17T18:24:46.830262+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SMByC/AcATaMa/issues]]></tracker>
        <repository><![CDATA[https://github.com/SMByC/AcATaMa]]></repository>
        <tags><![CDATA[raster,sample,points,labeling,accuracy assessment,classification,remote sensing,accuracy,sampling design,sampling plan,spatial data quality,thematic,quality,thematic accuracy]]></tags>
        <downloads>173378</downloads>
        <average_vote>4.370932492479899</average_vote>
        <rating_votes>124</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Beeline" version="1.0.0" plugin_id="1424">
        <description><![CDATA[Connect points along great circles]]></description>
        <about><![CDATA[Creates a line vector layer that connects all input points along the shortest path on a spheroid]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pgipper/Beeline/]]></homepage>
        <file_name>Beeline.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_qAkjA4B.svg</icon>
        <author_name><![CDATA[Peter Gipper]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Beeline/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[pegip]]></uploaded_by>
        <create_date>2018-03-09T17:21:07.706243+00:00</create_date>
        <update_date>2026-04-06T13:01:07.730225+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pgipper/Beeline/issues]]></tracker>
        <repository><![CDATA[https://github.com/pgipper/Beeline/]]></repository>
        <tags><![CDATA[shortest path,geodesic,great circle,air line,flight,beeline]]></tags>
        <downloads>20886</downloads>
        <average_vote>3.8234169583247555</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AttributeAssignment" version="4.1.0" plugin_id="1427">
        <description><![CDATA[Easy to assign an attribute on QGIS]]></description>
        <about><![CDATA[This plugin allows users to quickly assign attribute values to features by clicking on them in the map canvas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dayjournal/qgis-attributeassignment-plugin]]></homepage>
        <file_name>AttributeAssignment.4.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_2FNpSFI.png</icon>
        <author_name><![CDATA[Yasunori Kirimoto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AttributeAssignment/version/4.1.0/download/</download_url>
        <uploaded_by><![CDATA[dayjournal]]></uploaded_by>
        <create_date>2018-03-15T14:27:48.044605+00:00</create_date>
        <update_date>2026-03-11T14:43:53.911591+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dayjournal/qgis-attributeassignment-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/dayjournal/qgis-attributeassignment-plugin]]></repository>
        <tags><![CDATA[vector,editing,attribute]]></tags>
        <downloads>22463</downloads>
        <average_vote>3.388700627742903</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Road Emission Calculator" version="0.3" plugin_id="1428">
        <description><![CDATA[The plugin calculate emissions for selected roads. The plugin using external library &quot;EmissionCalculatorLib&quot;. This python library uses formulas and factors from EU to calculate the emission(s) from personal cars, busses to trailers of various sizes give a start and stop point.]]></description>
        <about><![CDATA[RoadEmissionCalculator is a plugin to easily calculate emissions for selected vehicle and suggested road(s) between two points. Optionally is possible to present calculated emission(s) in graph.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NPRA/RoadEmissionCalculator.git]]></homepage>
        <file_name>RoadEmissionCalculator.0.3.zip</file_name>
        <icon>/media/packages/2018/icon_oa6oAdm.png</icon>
        <author_name><![CDATA[Statens Vegvesen, Juraj Cirbus, Asbjørn Alexander Fellinghaug]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RoadEmissionCalculator/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[tomasle]]></uploaded_by>
        <create_date>2018-03-16T07:35:44.784739+00:00</create_date>
        <update_date>2018-03-16T07:35:45.422464+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NPRA/RoadEmissionCalculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/NPRA/RoadEmissionCalculator.git]]></repository>
        <tags><![CDATA[qgis]]></tags>
        <downloads>10154</downloads>
        <average_vote>4.428255124633955</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Karika" version="1.5" plugin_id="1429">
        <description><![CDATA[Terrain generalization]]></description>
        <about><![CDATA[Terrain generalization by line integral convolution of the elevation values along the surface gradient, as described in the PhD thesis &quot;Automatic Swiss style rock depiction&quot; (https://doi.org/10.3929/ethz-b-000201368).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://motlimot.net]]></homepage>
        <file_name>karika.1.5.zip</file_name>
        <icon>/media/packages/2018/img_motlimot.net_EubTqqR.svg</icon>
        <author_name><![CDATA[Roman Geisthövel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/karika/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[u1001]]></uploaded_by>
        <create_date>2018-03-19T18:46:05.248924+00:00</create_date>
        <update_date>2018-09-28T21:28:41.152287+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/motlimot/karika/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/motlimot/karika]]></repository>
        <tags><![CDATA[raster,generalization,processing]]></tags>
        <downloads>9844</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HCMGIS" version="25.12.5" plugin_id="1430">
        <description><![CDATA[HCMGIS - Basemaps, Download OpenData, Batch Converter, VN-2000 Projections, and Field Calculation Utilities]]></description>
        <about><![CDATA[- Basemaps: Add vector and raster basemaps from Google, Carto, ESRI, Vgrid, etc;

- Batch Converter: Batch convert CSV to Point Shapefiles and other GIS formats (including OSM pbf, GeoPackage) in a folder and its subfolders;

- Download OpenData: Download Open Data from OSM Geofabrik, GADM, Who&#x27;s On First (WOF), and other OGC OpenData Repos;

- Vn-2000 Projections: Lookup EPSG Code for Vn-2000/ TM3 Projection for all Provinces in Vietnam;

- Spatial Processing: has been moved to BecaGIS Plugin;  

- Attribute Calculation: merge/ split data fields, Vietnamese Font Converter: Unicode &lt;-&gt; TCVN3 &lt;-&gt; Vni-Windows, UPPER CASE, lower case.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gishub.vn]]></homepage>
        <file_name>HCMGIS.25.12.5.zip</file_name>
        <icon>/media/packages/2026/hcmgis_opendata.png</icon>
        <author_name><![CDATA[Thang Quach]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/HCMGIS/version/25.12.5/download/</download_url>
        <uploaded_by><![CDATA[thangqd]]></uploaded_by>
        <create_date>2018-03-26T09:58:24.375486+00:00</create_date>
        <update_date>2025-12-05T06:20:41.995635+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeoshub/HCMGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeoshub/HCMGIS]]></repository>
        <tags><![CDATA[merge,openstreetmap,split,OSM,google maps,Esri,basemap,vietnam,vector tile,vn,HCMGIS,Vietnamese,font converter,VN2000,vector tiles,Carto,Batch Converter,OSM Downloader,CSV to Point]]></tags>
        <downloads>2041526</downloads>
        <average_vote>4.28069940751129</average_vote>
        <rating_votes>1824</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AustrianElevation1m" version="2.0" plugin_id="1432">
        <description><![CDATA[AustrianElevation]]></description>
        <about><![CDATA[Display elevation values in Austria of specified position on QGIS with one meter resolution. (QGISv3). Contact: manfred@egger-gis.at]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/maegger/AustrianElevation]]></homepage>
        <file_name>AustrianElevation.2.0.zip</file_name>
        <icon>/media/packages/2019/icon_IC0Ca1n.png</icon>
        <author_name><![CDATA[Yasunori Kirimoto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AustrianElevation/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[6020]]></uploaded_by>
        <create_date>2018-03-27T14:25:57.957996+00:00</create_date>
        <update_date>2018-03-27T14:25:58.409283+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/maegger/AustrianElevation/issues]]></tracker>
        <repository><![CDATA[https://github.com/maegger/AustrianElevation]]></repository>
        <tags><![CDATA[elevation,austria]]></tags>
        <downloads>14364</downloads>
        <average_vote>4.666355576294914</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SQUAD Tool v3" version="1.0" plugin_id="1435">
        <description><![CDATA[Spatial Quality and Anomalies Diagnosis]]></description>
        <about><![CDATA[The Spatial Quality and Anomalies Diagnosis (SQUAD) tool checks for six anomalies that are based on common errors in point-location data sets. This information can be used to prioritize the type and extent of investigation needed for records that may have problems. The anomalies that can be checked are: 1. Missing coordinates 2. Truncated coordinates (lack of adequate precision) 3. Duplicate coordinates for distinct records 4. Duplicate key attributes (two identical names, but plotting in different locations) 5. Coordinate not located exactly where it would be expected (but falling within two kilometers of a border) 6. Coordinate not located anywhere near where expected]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/andre-ws/squad-plugin]]></homepage>
        <file_name>squad-plugin-qgis3.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[André William dos Santos Silva]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/squad-plugin-qgis3/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[andrewss]]></uploaded_by>
        <create_date>2018-03-31T05:12:54.067419+00:00</create_date>
        <update_date>2018-08-23T02:06:43.968338+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/andre-ws/squad-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/andre-ws/squad-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>5737</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NatusferaQGIS 3" version="1.0" plugin_id="1436">
        <description><![CDATA[Harvest biodiversity observations from Natusfera.]]></description>
        <about><![CDATA[NatusferaQGIS harvests data from Natusfera, a Citizen Science platform for biodiversity observations (http://natusfera.gbif.es). The plugin lets the user choose downloading data of a given user, a project, a taxon, or the whole dataset. Data are downloaded as a .csv file with several attributes, including location, taxonomic name, taxonomic group, date and time of observation. The file is saved in a folder chosen by the user when the download starts. This plugin has been developed thanks to the funding of FECyT and Obra Social La Caixa.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://natusfera.gbif.es]]></homepage>
        <file_name>natusferaqgis3.1.0.zip</file_name>
        <icon>/media/packages/2018/icon_x6yMH2N.png</icon>
        <author_name><![CDATA[Alex Vilanova]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/natusferaqgis3/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[alexvilanovab]]></uploaded_by>
        <create_date>2018-04-03T15:34:13.116654+00:00</create_date>
        <update_date>2018-04-03T15:34:13.861875+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alexvilanovab/NatusferaQGIS-3/issues]]></tracker>
        <repository><![CDATA[https://github.com/alexvilanovab/NatusferaQGIS-3]]></repository>
        <tags><![CDATA[biodiversity,citizen science]]></tags>
        <downloads>5286</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Road Inspection Viewer" version="1.2.5" plugin_id="1438">
        <description><![CDATA[Plugin displaying photos from road inspection.]]></description>
        <about><![CDATA[One assumes that the QGIS layer has continuous ids of points. The points has &quot;file_names&quot; field of photo file names&lt;br&gt;
that are separated with semicolons. The plugin can be started by a button with its icon on the plugin toolbar.&lt;br&gt;
You should first set a path to photos folder (&quot;path&quot; button).&lt;br&gt;
If in road inspection are more than one photo per point, You can add an extra windows (&quot;extra window&quot; button).&lt;br&gt;
You can check the plugin by using the example from &quot;example&quot; subfolder of the plugin folder.
Remember to select a layer with a road inspection and a start point first.

If You want to see geotagged photos on a map and inspect them by this plugin take a look in my EXIF_parser Github repository.

If You want to make a very basic road inspection, to see it on a map and inspect by this plugin - take a look in my Aida_data_parser Github repository.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/piotrm35/road_inspection_viewer]]></homepage>
        <file_name>road_inspection_viewer.1.2.5.zip</file_name>
        <icon>/media/packages/2022/riv_ico.png</icon>
        <author_name><![CDATA[Piotr Michałowski, Olsztyn, woj. W-M, Poland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/road_inspection_viewer/version/1.2.5/download/</download_url>
        <uploaded_by><![CDATA[piotrm35]]></uploaded_by>
        <create_date>2018-04-04T06:43:09.587428+00:00</create_date>
        <update_date>2022-11-18T09:02:01.482936+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/piotrm35/road_inspection_viewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/piotrm35/road_inspection_viewer]]></repository>
        <tags><![CDATA[viewer,road,photo,geotag,inspection,geotagged]]></tags>
        <downloads>17575</downloads>
        <average_vote>4.213984715377473</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Append Features to Layer" version="2.2.0" plugin_id="1439">
        <description><![CDATA[Processing plugin-based provider that adds an algorithm for appending/updating features to a vector layer]]></description>
        <about><![CDATA[Algorithm to run a &#x27;Load&#x27; in an ETL operation, allowing you to append or update features in a target layer based on features in a source layer]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gacarrillor/AppendFeaturesToLayer]]></homepage>
        <file_name>AppendFeaturesToLayer.2.2.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Germán Carrillo (GeoTux)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AppendFeaturesToLayer/version/2.2.0/download/</download_url>
        <uploaded_by><![CDATA[gcarrillo]]></uploaded_by>
        <create_date>2018-04-09T15:51:34.744366+00:00</create_date>
        <update_date>2026-04-16T01:39:14.693471+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gacarrillor/AppendFeaturesToLayer/issues]]></tracker>
        <repository><![CDATA[https://github.com/gacarrillor/AppendFeaturesToLayer]]></repository>
        <tags><![CDATA[load,update,merge,import,processing,copy,provider,append,paste,etl,duplicates,insert,load data,replace,upsert,transfer]]></tags>
        <downloads>65348</downloads>
        <average_vote>4.413274489673471</average_vote>
        <rating_votes>75</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Get WKT" version="1.8" plugin_id="1442">
        <description><![CDATA[This plugin displays the selected features&#x27; WKT, EWKT or JSON representation.]]></description>
        <about><![CDATA[This plugin displays the selected features&#x27; WKT, EWKT or JSON representation. It differs from QGIS&#x27;s Core copy functionality by only extracting the features WKT, rather than the entire record. Simply select a feature, press the button and the WKT, EWKT or JSON represenation will be displayed in a dialog box where you can copy its content for use in creating or updating geometries in SQL statements. Based on the original version for QGIS 2 by Hugo Ledoux at https://github.com/hugoledoux/QGIS-getWKT]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/skeenp/QGIS3-getWKT]]></homepage>
        <file_name>QGIS3-getWKT.1.8.zip</file_name>
        <icon>/media/packages/2026/icon_2rre7b3.png</icon>
        <author_name><![CDATA[Paul Skeen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS3-getWKT/version/1.8/download/</download_url>
        <uploaded_by><![CDATA[plesk]]></uploaded_by>
        <create_date>2018-04-10T12:45:16.790125+00:00</create_date>
        <update_date>2025-10-20T09:26:26.406328+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/skeenp/QGIS3-getWKT/issues]]></tracker>
        <repository><![CDATA[https://github.com/skeenp/QGIS3-getWKT]]></repository>
        <tags><![CDATA[wkt,python,json,ewkt]]></tags>
        <downloads>83782</downloads>
        <average_vote>4.266571853958801</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Nominatim Locator Filter" version="0.3.2" plugin_id="1447">
        <description><![CDATA[This is a plugin which adds an (extra) Nominatim Locator Filter (Geocoder) to QGIS]]></description>
        <about><![CDATA[Nominatim is a free Geocoder service provided by the OpenStreetMap project.

A Locator Filter implements the fetching of data from internal or external sources.

NOTE that the core functionality of this plugin is now also in the core of QGIS using the &lt;tt&gt;&amp;gt;&lt;/tt&gt; prefix.
So to use the core QGIS Nominatim Locator you type &lt;tt&gt;&quot;&gt; artis&quot;&lt;/tt&gt; to search for &#x27;artis&#x27;

This plugin has some extra features.

Because it is *NOT* allowed to use the Nominatim service as a &#x27;search as you type&#x27; service,
see: &lt;a href=&quot;https://operations.osmfoundation.org/policies/nominatim/&quot;&gt;Nominatim Usage Policy&lt;/a&gt;, the locator will not fire a request unless you end your string with a space or enter.
So type &lt;tt&gt;&quot;osm artis &quot;&lt;/tt&gt; (note the ending space).

Some other tricks:

To do a local search (so only within current mapcanvas extent), use &lt;tt&gt;&amp;&lt;/tt&gt; in front of your search term.
So type &lt;tt&gt;&quot;osm &amp;artis &quot;&lt;/tt&gt; (note the ampersand and the ending space) when only Zoomed in on France OR on The Netherlands and see the difference.

Nominatim itself also has some tricks: for example you can add a country code to your search term to ONLY search in that country.
See  &lt;tt&gt;&quot;osm &amp;artis nl&quot;&lt;/tt&gt; versus  &lt;tt&gt;&quot;osm &amp;artis fr&quot;&lt;/tt&gt; (to see artis in The Netherlands or in France)

The icons used are from the &lt;a href=&quot;https://github.com/osm-search/nominatim-ui/tree/master/dist/mapicons&quot;&gt;nominatim-ui project&lt;/a&gt;

Read more about creating &#x27;Locators&#x27;: &lt;a href=&quot;http://www.qgis.nl/2018/05/16/english-coding-a-qgslocator-plugin/?lang=en&quot;&gt;http://www.qgis.nl/2018/05/16/english-coding-a-qgslocator-plugin&lt;/a&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rduivenvoorde/nominatim_locator_filter]]></homepage>
        <file_name>nominatim_locator_filter.0.3.2.zip</file_name>
        <icon>/media/packages/2023/icon_xocrBWe.svg</icon>
        <author_name><![CDATA[Richard Duivenvoorde, Zuidt]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nominatim_locator_filter/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[rduivenvoorde]]></uploaded_by>
        <create_date>2018-04-22T20:32:29.598800+00:00</create_date>
        <update_date>2023-12-18T11:42:07.475312+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rduivenvoorde/nominatim_locator_filter/issues]]></tracker>
        <repository><![CDATA[https://github.com/rduivenvoorde/nominatim_locator_filter]]></repository>
        <tags><![CDATA[filter,osm,nominatim,geocoder,locator]]></tags>
        <downloads>63094</downloads>
        <average_vote>4.593606449798444</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geoportal LU" version="0.17" plugin_id="1448">
        <description><![CDATA[Use services from the luxembourgish Geoportal in QGIS]]></description>
        <about><![CDATA[Use services like the location search and - later - WMS service from the luxembourgish Geoportal in QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/frankbroniewski/geoportaillu]]></homepage>
        <file_name>geoportail_lu.0.17.zip</file_name>
        <icon>/media/packages/2020/icon_CCkObWo.png</icon>
        <author_name><![CDATA[Dipl. Geogr. Frank Broniewski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoportail_lu/version/0.17/download/</download_url>
        <uploaded_by><![CDATA[frabron]]></uploaded_by>
        <create_date>2018-04-24T15:39:19.564612+00:00</create_date>
        <update_date>2020-08-11T13:30:14.951686+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/frankbroniewski/geoportaillu/issues]]></tracker>
        <repository><![CDATA[https://github.com/frankbroniewski/geoportaillu]]></repository>
        <tags><![CDATA[geoportal luxembourg location wms]]></tags>
        <downloads>9436</downloads>
        <average_vote>4.374453193350831</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Adaplin Tool" version="0.4" plugin_id="1450">
        <description><![CDATA[It performs semiautomatic vectorization of a road based on a raster image.]]></description>
        <about><![CDATA[This plugin was developed for the master&#x27;s thesis of Marcel Emanuelli Rotunno at the Rio de Janeiro State University (UERJ). It aims to improve produtivity of roads cartographic restitution by the Brazilian Institute of Geography and Statistics (IBGE). The dissertation in Portugueese is included in the plugin&#x27;s documentation, at the link provided below.
By and large, the AdapLin tool adds 2 intermediate points to each segment marked by the user, seeking to maximize the properties of a road.
For that aim, the road must have pixel values higher than its surroundings in the input bands. The use of RGB bands is suggested.
The official User Manual can be downloaded in: https://github.com/LPG-Uerj/AdapLinQGIS/blob/master/documentation/Adaplin_Plugin_for_QGis_User_Manual.pdf
More information in: https://github.com/LPG-Uerj/AdapLinQGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LPG-Uerj/AdapLinQGIS]]></homepage>
        <file_name>AdaplinTool.0.4.zip</file_name>
        <icon>/media/packages/2025/AdaplinIcon_Yj0AeW3.png</icon>
        <author_name><![CDATA[Marcel Rotunno, Guilherme Abelha and Pedro Ceccopieri]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AdaplinTool/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[guimota]]></uploaded_by>
        <create_date>2018-05-02T14:42:22.686385+00:00</create_date>
        <update_date>2025-04-08T17:28:16.432621+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LPG-Uerj/AdapLinQGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/LPG-Uerj/AdapLinQGIS]]></repository>
        <tags><![CDATA[semiautomatic vectorization,road extraction,ibge]]></tags>
        <downloads>13935</downloads>
        <average_vote>4.449777511124443</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer From Clipboard" version="0.12" plugin_id="1454">
        <description><![CDATA[Create layer from clipboard data]]></description>
        <about><![CDATA[Layerfromclipboard is a plugin that allows users to create a memory layer with the clipboard data. The data can be a delimited text, html table or a spreadsheet.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jalmmor/layerfromclipboard]]></homepage>
        <file_name>layerfromclipboard.0.12.zip</file_name>
        <icon>/media/packages/2018/icon_FUpsYhx.svg</icon>
        <author_name><![CDATA[Jorge Almaraz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layerfromclipboard/version/0.12/download/</download_url>
        <uploaded_by><![CDATA[jalmmor]]></uploaded_by>
        <create_date>2018-05-10T19:33:42.693027+00:00</create_date>
        <update_date>2018-06-25T18:04:04.025115+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jalmmor/layerfromclipboard/issues]]></tracker>
        <repository><![CDATA[https://github.com/jalmmor/layerfromclipboard]]></repository>
        <tags><![CDATA[vector,python,clipboard]]></tags>
        <downloads>14310</downloads>
        <average_vote>4.683964001894637</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EO Time Series Viewer" version="2.4.0.baf147b" plugin_id="1456">
        <description><![CDATA[Visualization of multi-sensor Earth observation time series data.]]></description>
        <about><![CDATA[The EO Time Series Viewer (EOTSV) is a QGIS Plugin to visualize and label Earth Observation (EO) time series data.

- Interactive visualization of Earth observation time series raster data
- Spatially synchronized maps for each observation date
- Multiple band combinations in parallel, e.g., True Color _and_ SWIR bands
- Multi-sensor support: separate render settings for separate image products
- Visualization of Spectral and Temporal Profiles
- Quick labeling of vector files]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://eo-time-series-viewer.readthedocs.io]]></homepage>
        <file_name>timeseriesviewerplugin.2.4.0.baf147b.zip</file_name>
        <icon>/media/packages/2026/icon_IQp9wc6.png</icon>
        <author_name><![CDATA[Benjamin Jakimow, Sebastian van der Linden, Patrick Hostert]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/timeseriesviewerplugin/version/2.4.0.baf147b/download/</download_url>
        <uploaded_by><![CDATA[jakimowb]]></uploaded_by>
        <create_date>2018-05-14T12:41:16.692658+00:00</create_date>
        <update_date>2026-02-13T17:20:37.584170+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jakimowb/eo-time-series-viewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/jakimowb/eo-time-series-viewer]]></repository>
        <tags><![CDATA[raster,landsat,time series,remote sensing,sentinel]]></tags>
        <downloads>38821</downloads>
        <average_vote>4.565018912221207</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PDOK Locatieserver Locator Filter" version="0.2.1" plugin_id="1461">
        <description><![CDATA[This is a plugin which adds a PDOK Locatieserver (dutch geocoder) to QGIS]]></description>
        <about><![CDATA[PDOK Locatieserver is a free Geocoder service provided by PDOK, The Netherlands.
A Locator Filter implements the fetching of data from internal or external sources.
PDOK Locatieserver is both a suggest service and an info service]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rduivenvoorde/pdok_locatieserver_locator_filter]]></homepage>
        <file_name>pdok_locatieserver_locator_filter.0.2.1.zip</file_name>
        <icon>/media/packages/2018/icon_1vVE9gA.svg</icon>
        <author_name><![CDATA[Richard Duivenvoorde, Zuidt]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pdok_locatieserver_locator_filter/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[rduivenvoorde]]></uploaded_by>
        <create_date>2018-05-18T06:48:12.711799+00:00</create_date>
        <update_date>2018-06-21T13:02:42.118803+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rduivenvoorde/pdok_locatieserver_locator_filter/issues]]></tracker>
        <repository><![CDATA[https://github.com/rduivenvoorde/pdok_locatieserver_locator_filter]]></repository>
        <tags><![CDATA[filter,pdok,geocoder,locator,locatieserver]]></tags>
        <downloads>35476</downloads>
        <average_vote>4.444197544580856</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geomapfish Locator" version="1.3.8" plugin_id="1472">
        <description><![CDATA[A locator filter for Geomapfish services]]></description>
        <about><![CDATA[Allows to search in Geomapfish instances. Connection is also possible for private searches.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis_geomapfish_locator]]></homepage>
        <file_name>geomapfish_locator.1.3.8.zip</file_name>
        <icon>/media/packages/2024/geomapfish_9mLP5z9.png</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geomapfish_locator/version/1.3.8/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2018-05-30T14:28:33.749660+00:00</create_date>
        <update_date>2024-08-13T07:27:50.060599+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis_geomapfish_locator/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis_geomapfish_locator]]></repository>
        <tags><![CDATA[geomapfish,locator]]></tags>
        <downloads>18716</downloads>
        <average_vote>4.24946881639795</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QNEAT3" version="1.0.8" plugin_id="1476">
        <description><![CDATA[QNEAT3 - QGIS Network Analysis Toolbox 3]]></description>
        <about><![CDATA[The QNEAT3 (short for Qgis Network Analysis Toolbox 3) Plugin aims to provide sophisticated QGIS Processing-Toolbox algorithms in the field of network analysis. QNEAT3 is integrated in the QGIS3 Processing Framework. It offers algorithms that range from simple shortest path solving to more complex tasks like Iso-Area (aka service areas, accessibility polygons) and OD-Matrix (Origin-Destination-Matrix) computation. The usage of some Iso-Area algorithms require the installation of the matplotlib python library from OSGeo4W (see algorithm and help page for more information).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://root676.github.io]]></homepage>
        <file_name>QNEAT3.1.0.8.zip</file_name>
        <icon>/media/packages/2025/icon_qneat3_x10cQfo.svg</icon>
        <author_name><![CDATA[Clemens Raffler]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QNEAT3/version/1.0.8/download/</download_url>
        <uploaded_by><![CDATA[root676]]></uploaded_by>
        <create_date>2018-06-04T21:43:53.595047+00:00</create_date>
        <update_date>2025-07-31T09:21:38.422874+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/root676/QNEAT3/issues]]></tracker>
        <repository><![CDATA[https://github.com/root676/QNEAT3]]></repository>
        <tags><![CDATA[network analysis,shortest path,od matrix,distance matrix,od,od matrices,dijkstra,graph analysis,catchment areas,isochrone areas]]></tags>
        <downloads>215743</downloads>
        <average_vote>4.3094981577490605</average_vote>
        <rating_votes>168</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DB Style Manager" version="0.8" plugin_id="1477">
        <description><![CDATA[Manage your styles stored in PostGIS]]></description>
        <about><![CDATA[It allows you to sync styles between QGIS Desktop and Postgis. The plugin also provides a summary of styles in the database.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PnGuadeloupe/db-style-manager]]></homepage>
        <file_name>db-style-manager.0.8.zip</file_name>
        <icon>/media/packages/2018/icon_BjhoJke.png</icon>
        <author_name><![CDATA[Etienne Trimaille]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/db-style-manager/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2018-06-05T14:58:31.732997+00:00</create_date>
        <update_date>2018-10-15T12:34:00.406869+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PnGuadeloupe/db-style-manager]]></tracker>
        <repository><![CDATA[https://github.com/PnGuadeloupe/db-style-manager
Version 0.8
* Display message bar when at least one style is loaded
Version 0.7
* Fix saving style on QGIS 3
* Add some message bar]]></repository>
        <tags><![CDATA[postgis,database,style,sync,postgresql,qml]]></tags>
        <downloads>43828</downloads>
        <average_vote>3.761725632112756</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QWeather" version="3.2.1" plugin_id="1479">
        <description><![CDATA[Weather Information based on Yahoo API.]]></description>
        <about><![CDATA[This tool can be used to get weather using Yahoo Weather API. Get information about city, country, region, wind direction, wind speed, humidity, pressure, visibility, sunrise, sunset, lon, lat, temperature in celsius or fahreneit, date, and icon.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mariosmsk.com/2019/04/08/qweather-qgis/]]></homepage>
        <file_name>QWeather.3.2.1.zip</file_name>
        <icon>/media/packages/2020/weather_gfhQ8j1.png</icon>
        <author_name><![CDATA[Marios S. Kyriakou, George A. Christou, KIOS Research and Innovation Center of Excellence (KIOS CoE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QWeather/version/3.2.1/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
        <create_date>2018-06-07T13:01:20.748014+00:00</create_date>
        <update_date>2020-05-18T10:17:25.768800+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KIOS-Research/QWeather/issues/]]></tracker>
        <repository><![CDATA[https://github.com/KIOS-Research/QWeather/]]></repository>
        <tags><![CDATA[visibility,sunset,sunrise,yahoo api,temperature,wind direction,humidity,pressure,weather,wind speed]]></tags>
        <downloads>38127</downloads>
        <average_vote>3.999925927297643</average_vote>
        <rating_votes>54</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="arrayPlus" version="1.7" plugin_id="1480">
        <description><![CDATA[Functions to manipulate arrays and maps in field calculator]]></description>
        <about><![CDATA[A plugin that add functions to manipulate arrays in field calculator (array_min, array_avg, array_majority, etc.). Also add support for hstore strings (&quot;others_tags&quot; field on .osm files). Since QGIS 3.20, all functions have been integrated into Qgis core, so this plugin is depreciated. For array_lambda and array_avg, please use array_foreach and array_mean.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://framagit.org/jbdesbas/arrayPlus]]></homepage>
        <file_name>arrayplus.1.7.zip</file_name>
        <icon>/media/packages/2022/icon_OHieYuW.png</icon>
        <author_name><![CDATA[JB Desbas - Quartier libre]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arrayplus/version/1.7/download/</download_url>
        <uploaded_by><![CDATA[jbdesbas]]></uploaded_by>
        <create_date>2018-06-07T15:29:04.078272+00:00</create_date>
        <update_date>2021-02-22T11:15:23.519601+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://framagit.org/jbdesbas/arrayPlus/issues]]></tracker>
        <repository><![CDATA[https://framagit.org/jbdesbas/arrayPlus]]></repository>
        <tags><![CDATA[python,map,expression,field calculator,array,list]]></tags>
        <downloads>17198</downloads>
        <average_vote>3.285244965004999</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FS3" version="1.0.1" plugin_id="1484">
        <description><![CDATA[Quickly generate, display, and compare basic statistics and graphs for numeric and text fields of vector layer(s)]]></description>
        <about><![CDATA[This plugin was created by Orden Aitchedji, McKenna Duzac, Andreas Foulk and Tanner Lee during the 2018 summer field section at the Colorado School Of Mines in collaboration with Brian Krzys at Newmont Exploration.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/andreasfoulk/FS3]]></homepage>
        <file_name>FS3.1.0.1.zip</file_name>
        <icon>/media/packages/2018/FS3Icon_N6Kxnwq.png</icon>
        <author_name><![CDATA[Orden Aitchedji, McKenna Duzac, Andreas Foulk, Tanner Lee]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FS3/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[afoulk]]></uploaded_by>
        <create_date>2018-06-13T22:19:17.275669+00:00</create_date>
        <update_date>2018-06-14T13:39:09.458980+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/andreasfoulk/FS3/issues]]></tracker>
        <repository><![CDATA[https://github.com/andreasfoulk/FS3]]></repository>
        <tags><![CDATA[vector,python,attribute edit,analysis,export,statistics,field,multiple,graph]]></tags>
        <downloads>15142</downloads>
        <average_vote>4.344677769732078</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dot Map" version="0.4.1" plugin_id="1485">
        <description><![CDATA[Create density dot layer from polygons]]></description>
        <about><![CDATA[A dot-density map is a type of thematic map that uses dots or other symbols on the map to show the values of one or more numeric data fields. Each dot on a dot-density map represents some amount of data. Qgis has not a simbology for this type of data. For this reason, this plugin can create a dot density layer from a polygon layer with a integer field with the data that user would like to convert to dots.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/josemamira/DotMap]]></homepage>
        <file_name>DotMap.0.4.1.zip</file_name>
        <icon>/media/packages/2025/icon_mY7kec6.png</icon>
        <author_name><![CDATA[Jose Manuel Mira Martinez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DotMap/version/0.4.1/download/</download_url>
        <uploaded_by><![CDATA[j3m]]></uploaded_by>
        <create_date>2018-06-15T11:00:55.671031+00:00</create_date>
        <update_date>2025-11-11T11:39:54.487664+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/josemamira/DotMap]]></tracker>
        <repository><![CDATA[https://github.com/josemamira/DotMap]]></repository>
        <tags><![CDATA[dots,density map]]></tags>
        <downloads>50946</downloads>
        <average_vote>4.122364849696945</average_vote>
        <rating_votes>49</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Swiss Locator" version="4.0.2" plugin_id="1487">
        <description><![CDATA[A locator filter for Swiss Geoportal (geo.admin.ch) and opendata.swiss resources]]></description>
        <about><![CDATA[Search for locations, WMS layers of features in the whole Swiss Geoportal catalog as well as in opendata.swiss]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.39.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis-swiss-locator]]></homepage>
        <file_name>swiss_locator.4.0.2.zip</file_name>
        <icon>/media/packages/2026/swiss_locator_2KwAaOk.png</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/swiss_locator/version/4.0.2/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2018-06-17T05:00:59.946864+00:00</create_date>
        <update_date>2026-02-02T13:46:20.929114+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis-swiss-locator]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis-swiss-locator]]></repository>
        <tags><![CDATA[locator,swiss,geoadmin,suisse,geoportal,schweiz,opendata.swiss]]></tags>
        <downloads>41838</downloads>
        <average_vote>4.822115064109687</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GIS4WRF" version="0.14.7" plugin_id="1491">
        <description><![CDATA[Toolkit for pre- and post-processing, visualizing, and running simulations in WRF]]></description>
        <about><![CDATA[GIS4WRF is an evolving cross-platform and open-source QGIS Python plug-in for the Advanced Research WRF (Weather Research and Forecasting) modelling framework. It enables users to carry out several geo-related tasks (e.g. re-/mapping land surface data), define model domains, configure model parameters, run simulations, and visualize and post-process model output files within a single graphical user interface in QGIS.
&lt;br&gt;We provide MPI-enabled pre-built WPS and WRF binaries for Windows, macOS and Linux with &lt;a href=&quot;https://github.com/WRF-CMake/WRF#readme&quot;&gt;WRF-CMake&lt;/a&gt;.
&lt;br&gt;For the official documentation and tutorials, please see the website at &lt;a href=&quot;https://gis4wrf.github.io/&quot;&gt;https://gis4wrf.github.io&lt;/a&gt;.
&lt;br&gt;Download a copy of the GIS4WRF article at &lt;a href=&quot;https://doi.org/10.1016/j.envsoft.2018.10.018&quot;&gt;https://doi.org/10.1016/j.envsoft.2018.10.018&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gis4wrf.github.io]]></homepage>
        <file_name>gis4wrf.0.14.7.zip</file_name>
        <icon>/media/packages/2022/gis4wrf_logo_oU0Li9n.svg</icon>
        <author_name><![CDATA[D. Meyer and M. Riechert]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gis4wrf/version/0.14.7/download/</download_url>
        <uploaded_by><![CDATA[ce7wpv7vyit0w3mxlqqn]]></uploaded_by>
        <create_date>2018-06-19T19:19:37.212594+00:00</create_date>
        <update_date>2022-02-13T08:22:12.734549+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GIS4WRF/gis4wrf/issues]]></tracker>
        <repository><![CDATA[https://github.com/GIS4WRF/gis4wrf]]></repository>
        <tags><![CDATA[wps,netcdf,gis,grib,weather,wrf,nwp,atmospheric science,atmospheric modelling,plotting]]></tags>
        <downloads>43365</downloads>
        <average_vote>4.7752272446377</average_vote>
        <rating_votes>89</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Group Filter" version="0.2" plugin_id="1493">
        <description><![CDATA[Manage your Layer Filters (data subset) using layer-groups]]></description>
        <about><![CDATA[Limit the dataset of all layers in a Layer group, by rolling-out similar attribute filters. You can describe your own set of filter presets using XML, so while using the plugin you just need to choose a preset and one common filter value. Supports value relations to other layers and non-uniform field names. Layer Filter presets (XML-string) are saved as a project variable.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PeterBontinck/QGIS-Layergroup-Filter]]></homepage>
        <file_name>layerGroupFilter.0.2.zip</file_name>
        <icon>/media/packages/2019/icon_cr3fSX8.png</icon>
        <author_name><![CDATA[Peter Bontinck]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layerGroupFilter/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[bontinckp]]></uploaded_by>
        <create_date>2018-06-22T14:22:48.610159+00:00</create_date>
        <update_date>2019-02-27T09:26:45.724769+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PeterBontinck/QGIS-Layergroup-Filter/issues]]></tracker>
        <repository><![CDATA[https://github.com/PeterBontinck/QGIS-Layergroup-Filter]]></repository>
        <tags><![CDATA[python,filter,attribute,field,layers,group]]></tags>
        <downloads>13120</downloads>
        <average_vote>4.157675911794116</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS2Mapea4" version="0.1" plugin_id="1504">
        <description><![CDATA[Plugin to create web map with geographic data of Andalusia (Spain) using the Mapea4 javascript library. Complemento para crear visores de mapas web con datos geográficos de Andalucía (España) usando la librería Mapea4.]]></description>
        <about><![CDATA[&lt;p&gt;QGIS2Mapea4 tiene como objetivo facilitar a los usuarios de QGIS que trabajen con datos ubicados en Andalucía (España), la generación de visores web de mapas usando la librería Mapea4. La librería javascript Mapea4, basada en OpenLayers, es un desarrollo dentro del SIG Corporatico de la Junta de Andalucía. En la siguiente dirección &lt;a href=&quot;https://github.com/sigcorporativo-ja/Mapea4&quot;&gt;https://github.com/sigcorporativo-ja/Mapea4&lt;/a&gt; puede consultarse toda la información sobre la misma. QGIS2Mapea4 es un desarrollo personal de Patricio Soriano (sigdeletras.com)&lt;/p&gt;&lt;p&gt;QGIS2Mapea4 aims to make it easier for QGIS users to make web maps with data located in Andalusia (Spain) using the Mapea4 library. The Mapea4 javascript library, based on OpenLayers, is a development within the Corporative GIS of the Regional Government of Andalucia. In the following link &lt;a href=&quot;https://github.com/sigcorporativo-ja/Mapea4&quot;&gt;https://github.com/sigcorporativo-ja/Mapea4&lt;/a&gt; you can consult all the information about it. QGIS2Mapea4 is a personal development of Patricio Soriano (sigdeletras.com)&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.sigdeletras.com]]></homepage>
        <file_name>qgis2mapea4.0.1.zip</file_name>
        <icon>/media/packages/2018/icon_FwQxVw1.png</icon>
        <author_name><![CDATA[Patricio Soriano :: SIGdeletras]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis2mapea4/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[pasoriano]]></uploaded_by>
        <create_date>2018-07-03T10:28:38.586345+00:00</create_date>
        <update_date>2018-07-03T10:28:42.062688+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sigdeletras/qgis2mapea4/issues]]></tracker>
        <repository><![CDATA[https://github.com/sigdeletras/qgis2mapea4]]></repository>
        <tags><![CDATA[html,web,openlayers,webmapping,webmap,javascript,españa,andalucía,mapea4,sig corporativo,corporative gis]]></tags>
        <downloads>69880</downloads>
        <average_vote>3.241267542498534</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QWater" version="3.3.2" plugin_id="1511">
        <description><![CDATA[Hydraulic design and analysis of water supply networks]]></description>
        <about><![CDATA[QWater is a plugin based on GHydraulics Plugin from &lt;a href=&quot;mailto:sdteffen@sdteffen.de&quot;&gt;Steffen Macke&lt;/a&gt;. It allows to design and analyze water supply networks using EPANET (no need to install). It allows to write EPANET INP files as well as running an EPANET simulation from QGIS complete with loading the result data. QWater contains a function to calculate economic diameters based on given diameters and maximum friction headloss. The functions are accessible from the Qgis plugin menu and toolbars.
&lt;p&gt;If this plugin is useful for you, consider to donate to the author.&lt;/p&gt;
&lt;a href=&quot;https://www.paypal.com/cgi-bin/webscr?cmd=_donations&amp;business=G5ERSTGG4U426&amp;lc=BR&amp;item_name=Jorge+Almerio/Qgis+QWater+plugin&amp;item_number=QWater&amp;currency_code=BRL&amp;bn=PP-DonationsBF:btn_donateCC_LG.gif:NonHosted&quot; target=&quot;_blank&quot;&gt;
&lt;img border=&quot;0&quot; alt=&quot;Donate&quot; src=&quot;https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif&quot;&gt;
&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jorgealmerio/QWater/blob/master/README.md]]></homepage>
        <file_name>QWater.3.3.2.zip</file_name>
        <icon>/media/packages/2024/icon_8i2o5lt.png</icon>
        <author_name><![CDATA[Jorge Almerio]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QWater/version/3.3.2/download/</download_url>
        <uploaded_by><![CDATA[jorgealmerio]]></uploaded_by>
        <create_date>2018-07-26T17:28:44.601369+00:00</create_date>
        <update_date>2024-08-16T17:30:26.232718+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jorgealmerio/QWater/issues]]></tracker>
        <repository><![CDATA[https://github.com/jorgealmerio/QWater]]></repository>
        <tags><![CDATA[analysis,network,supply,inp,hydraulic,water,epanet,export,pipe,giswater]]></tags>
        <downloads>73860</downloads>
        <average_vote>4.536166142519673</average_vote>
        <rating_votes>69</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Full Motion Video" version="1.15" plugin_id="1516">
        <description><![CDATA[&lt;p&gt;QGIS Full Motion Video.&lt;/p&gt;]]></description>
        <about><![CDATA[Plugin for QGIS which allows to analyze, visualize and process videos inside the QGIS environment.
QGIS FMV accepts multiple video formats such as mp4, ts, avi, etc. It is also able to extract video frames,
to capture the current frame, to plot bitrate and to observe the video metadata with aerial images and more.
It also offers the possibility to create reports with video metadata.

&lt;strong&gt;QGIS FMV is in the &#x27;Plugins&#x27; toolbar !&lt;/strong&gt;

&lt;a href=&quot;https://all4gis.github.io/QGISFMV/&quot; target=&quot;_blank&quot;&gt;Documentation&lt;/a&gt;

&lt;p&gt;Want to buy me a beer (or gadget)? Please use Paypal button.&lt;/p&gt;
&lt;a href=&quot;https://goo.gl/jFCeCW&quot; target=&quot;_blank&quot;&gt;
&lt;img border=&quot;0&quot; alt=&quot;Donate&quot; src=&quot;https://goo.gl/6Fov75&quot;&gt;
&lt;/a&gt;
&lt;p&gt;If this plugin is useful for you, consider to donate to the author.&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/All4Gis/QGISFMV]]></homepage>
        <file_name>QGIS_FMV.1.15.zip</file_name>
        <icon>/media/packages/2021/icon_7ZysaMz.png</icon>
        <author_name><![CDATA[Francisco Raga]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS_FMV/version/1.15/download/</download_url>
        <uploaded_by><![CDATA[all4gis]]></uploaded_by>
        <create_date>2018-08-02T16:25:54.640399+00:00</create_date>
        <update_date>2021-02-16T18:05:44.384245+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/All4Gis/QGISFMV/issues]]></tracker>
        <repository><![CDATA[https://github.com/All4Gis/QGISFMV]]></repository>
        <tags><![CDATA[python,uav,video,drone,telemetry,mosaic,fmv,misb,dji,klv,object tracking,stanag]]></tags>
        <downloads>35755</downloads>
        <average_vote>4.309233925423449</average_vote>
        <rating_votes>97</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Offline-MapMatching" version="3.0.0" plugin_id="1517">
        <description><![CDATA[a QGIS-plugin for matching a trajectory with a network using a Hidden Markov Model and Viterbi algorithm]]></description>
        <about><![CDATA[Because of inaccuracies of the GNSS signal and/or a low data quality of the network, the positions of the trajectory and the network are differing. In many cases a simple snapping of the trajectory on the network will not work to reproduce the real track on the network. Reasons for that can be e.g. outliers in the trajectory or crossings of edges in the network. This plugin provides a statistical approach to solve the problem of offline map matching using the principles of Hidden Markov Models (HMM) and the Viterbi algorithm.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jagodki/Offline-MapMatching]]></homepage>
        <file_name>Offline-MapMatching.3.0.0.zip</file_name>
        <icon>/media/packages/2020/icon_mwyMYAb.png</icon>
        <author_name><![CDATA[Christoph Jung]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Offline-MapMatching/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[jagodki]]></uploaded_by>
        <create_date>2018-08-05T13:47:05.592265+00:00</create_date>
        <update_date>2020-08-19T19:36:33.700892+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jagodki/Offline-MapMatching/issues]]></tracker>
        <repository><![CDATA[https://github.com/jagodki/Offline-MapMatching]]></repository>
        <tags><![CDATA[trajectory,map matching,viterbi,hmm]]></tags>
        <downloads>26135</downloads>
        <average_vote>4.35177126349512</average_vote>
        <rating_votes>54</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Map Corners Coordinates" version="2.0.0" plugin_id="1523">
        <description><![CDATA[QGIS plugin for saving map canvas coordinates into a text file.]]></description>
        <about><![CDATA[The plugin shows current corners coordinates of map canvas on the screen. Captured coordinates can be saved into plain text file. User may choose the spatial reference system (SRS) of coordinates between WGS-84 (EPSG:4326) and SRS of map canvas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ctu-geoforall-lab.github.io/qgis-map-coords-plugin]]></homepage>
        <file_name>map-coords-plugin.2.0.0.zip</file_name>
        <icon>/media/packages/2020/icon_Kwhdcts.png</icon>
        <author_name><![CDATA[CTU GeoForAll Lab (Kala, Kulovana, Landa) and OpenGeoLabs s.r.o]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/map-coords-plugin/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[martinl]]></uploaded_by>
        <create_date>2018-08-16T20:30:03.314482+00:00</create_date>
        <update_date>2020-05-11T17:50:48.822533+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ctu-geoforall-lab/qgis-map-coords-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ctu-geoforall-lab/qgis-map-coords-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>14602</downloads>
        <average_vote>3.6660556573904346</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MzS Tools" version="2.0.7" plugin_id="1524">
        <description><![CDATA[Plugin for Italian seismic microzonation.]]></description>
        <about><![CDATA[Database management and cartographic representations for the Italian seismic microzonation studies according to the &quot;standards of representation and computer archiving&quot; version 4.2 (Technical commission for seismic microzonation - art. 5 paragraph 7, OPCM 13 nov. 2010, n. 3907).
Plugin developed by the &lt;a href=&quot;https://www.igag.cnr.it/en/laboratories/labgis/&quot;&gt;GIS Laboratory (LabGIS)&lt;/a&gt; of the &lt;a href=&quot;https://www.igag.cnr.it&quot;&gt;Institute of Environmental Geology and Geoengineering (IGAG)&lt;/a&gt; of the National Research Council (CNR).
The software provider does not provide any warranty for the program (as described in the GPLv3 license).]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CNR-IGAG/mzs-tools/]]></homepage>
        <file_name>MzSTools.2.0.7.zip</file_name>
        <icon>/media/packages/2026/icon_suh4P7F.png</icon>
        <author_name><![CDATA[CNR-IGAG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MzSTools/version/2.0.7/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2018-08-19T22:29:39.609324+00:00</create_date>
        <update_date>2026-02-19T15:14:48.786176+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CNR-IGAG/mzs-tools/issues/]]></tracker>
        <repository><![CDATA[https://github.com/CNR-IGAG/mzs-tools/]]></repository>
        <tags><![CDATA[geology,seismic hazard,seismic microzonation,italy]]></tags>
        <downloads>19198</downloads>
        <average_vote>4.735224481992912</average_vote>
        <rating_votes>68</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Animate OSM" version="0.3.0" plugin_id="1525">
        <description><![CDATA[Animates OSM changes within a time frame and bounding box. This plugin has been developed for creating visualizations of work processed in hotosm.org tasks. Currently it only supports buildings.]]></description>
        <about><![CDATA[Animates OSM changes within a time frame and bounding box.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://510.global]]></homepage>
        <file_name>AnimateOsm.0.3.0.zip</file_name>
        <icon>/media/packages/2018/icon_6J8LZde.png</icon>
        <author_name><![CDATA[510, an initiative of The Netherlands Red Cross]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AnimateOsm/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[raymondnijssen]]></uploaded_by>
        <create_date>2018-08-24T12:30:43.958989+00:00</create_date>
        <update_date>2018-10-24T15:56:01.626097+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rodekruis/animateOsm/issues]]></tracker>
        <repository><![CDATA[https://github.com/rodekruis/animateOsm]]></repository>
        <tags><![CDATA[animation animate osm openstreetmap diff missing maps hotosm]]></tags>
        <downloads>76838</downloads>
        <average_vote>4.289360806294572</average_vote>
        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LAStools" version="2.3.2" plugin_id="1526">
        <description><![CDATA[batch-scriptable, multicore command-line tools for processing point clouds in LAS, LAZ, and ASCII formats]]></description>
        <about><![CDATA[LAStools is a collection of 50+ highly efficient, batch-scriptable, multicore command line tools for processing lidar. The software combines robust algorithms with efficient I/O and memory-efficient management to achieve high throughput for datasets containing billions of points. LAStools was first developed by Dr. Martin Isenburg, the creator of the popular LAZ format. This plugin exposes the capabilities of LAStools within QGIS using the processing framework. You also need to download the LAStools software from https://rapidlasso.de/. Instructions on how to install this plugin can be found in the user manual https://rapidlasso.de/lastools-as-qgis-plugin/.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/rapidlasso/LAStoolsPluginQGIS3]]></homepage>
        <file_name>LAStools.2.3.2.zip</file_name>
        <icon>/media/packages/2025/lastools_3FHvgOx.png</icon>
        <author_name><![CDATA[rapidlasso GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LAStools/version/2.3.2/download/</download_url>
        <uploaded_by><![CDATA[rapidlasso]]></uploaded_by>
        <create_date>2018-08-26T14:15:25.927033+00:00</create_date>
        <update_date>2025-05-26T06:31:47.228796+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/rapidlasso/LAStoolsPluginQGIS3/issues]]></tracker>
        <repository><![CDATA[http://github.com/rapidlasso/LAStoolsPluginQGIS3]]></repository>
        <tags><![CDATA[points,dem,dtm,classification,processing,pre-processing,lidar,point cloud,phodar,lastools,pointclouds,chm,dsm,contours,laz,las,pointcloud,filtering]]></tags>
        <downloads>502338</downloads>
        <average_vote>4.7162071115692825</average_vote>
        <rating_votes>518</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RiverMetrics" version="1.2" plugin_id="1527">
        <description><![CDATA[The plugin allows to calculate the river metrics]]></description>
        <about><![CDATA[The plugin allows to calculate the river sinuosity and river braiding index using a vectorline representing the river axis and a polygon layer representin the wet channel. The vector line of river axis must contain only one feature and the coordinate reference system must be not geographical (long-lat) type. The plugin check this conditions by the validate geom button.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pierluigiderosa/RiverMetrics]]></homepage>
        <file_name>RiverMetrics.1.2.zip</file_name>
        <icon>/media/packages/2024/icon_new_Xamps4w.png</icon>
        <author_name><![CDATA[Pierluigi De Rosa e Andrea Fredduzzi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RiverMetrics/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[pierluigiderosa]]></uploaded_by>
        <create_date>2018-08-27T13:05:06.988137+00:00</create_date>
        <update_date>2024-06-25T09:33:25.139182+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pierluigiderosa/RiverMetrics/issues]]></tracker>
        <repository><![CDATA[https://github.com/pierluigiderosa/RiverMetrics]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7746</downloads>
        <average_vote>2.843661135589513</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Standard Distance" version="1.0.3" plugin_id="1528">
        <description><![CDATA[Calculate and representate the position standard deviation of a set of features.]]></description>
        <about><![CDATA[Standard Distance measures the degree to which features are concentrated or dispersed around the features (point or polygon features). Can be launched for all features of the layer, or grouped by a field value. Also can be use a optional weight field parameter. The Plugin create a new layer with a circle polygon representing the Standard Distance. The radius is equal to the standard distance of the features, and its centered in his mean center coordinates. There are no external library dependencies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GuillemHerrera/StandardDistance]]></homepage>
        <file_name>StandardDistance.1.0.3.zip</file_name>
        <icon>/media/packages/2024/icon_StandardDistance.svg</icon>
        <author_name><![CDATA[Guillem Herrera]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/StandardDistance/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[guillemherrera]]></uploaded_by>
        <create_date>2018-08-27T15:08:26.832735+00:00</create_date>
        <update_date>2024-04-27T20:45:32.579953+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GuillemHerrera/StandardDistance/issues]]></tracker>
        <repository><![CDATA[https://github.com/GuillemHerrera/StandardDistance]]></repository>
        <tags><![CDATA[distance,standard,standard distance,vector analysis]]></tags>
        <downloads>17713</downloads>
        <average_vote>4.249645862844763</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DistanceCartogram" version="0.8" plugin_id="1529">
        <description><![CDATA[Compute distance cartogram]]></description>
        <about><![CDATA[DistanceCartogram QGIS plugin allows you to create distance cartogram. This is done by extending (by interpolation) to the layer(s) of the study area (territorial divisions, network...) the local displacement between the source coordinates and the image coordinates, derived from the distances between each pair of homologous points (source / image points). DistanceCartogram allows to create distance cartograms in two ways: from two layers of homologous points (source points and image points) or from a layer of points and a durations matrix between them.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mthh/QgisDistanceCartogramPlugin]]></homepage>
        <file_name>dist_cartogram.0.8.zip</file_name>
        <icon>/media/packages/2025/icon_fUWdu09.png</icon>
        <author_name><![CDATA[Matthieu Viry]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dist_cartogram/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[mthh]]></uploaded_by>
        <create_date>2018-08-29T10:08:33.156578+00:00</create_date>
        <update_date>2025-01-20T13:26:16.861303+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mthh/QgisDistanceCartogramPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/mthh/QgisDistanceCartogramPlugin]]></repository>
        <tags><![CDATA[distance,polygon,time-space mapping,cartogram,deformation]]></tags>
        <downloads>17019</downloads>
        <average_vote>4.642525533890437</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Canadian Web Services" version="1.1" plugin_id="1530">
        <description><![CDATA[This plugin provides easy access to many geospatial web services in the Canadian (.ca) domain.]]></description>
        <about><![CDATA[This loads a subset of Canadian geospatial web services that have been discovered as open and available. It is populated from an evergreen list of services, harvested weekly from the .ca landscape. It allows the user to add all layers of each service and retain the service connection in the user profile for later use.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/eswright/cgdi-qgis-services]]></homepage>
        <file_name>CanadianWebServices.1.1.zip</file_name>
        <icon>/media/packages/2019/icon_pVQIVfv.png</icon>
        <author_name><![CDATA[Nathan Torrence, Aayush Dobriyal]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CanadianWebServices/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[ewright]]></uploaded_by>
        <create_date>2018-08-29T19:58:25.827652+00:00</create_date>
        <update_date>2019-09-24T19:52:06.098045+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eswright/cgdi-qgis-services/issues]]></tracker>
        <repository><![CDATA[https://github.com/eswright/cgdi-qgis-services]]></repository>
        <tags><![CDATA[python,wfs,wms,web services,canada,esri mapserver]]></tags>
        <downloads>14783</downloads>
        <average_vote>4.618827674872625</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Label2Attr" version="1.0" plugin_id="1531">
        <description><![CDATA[Assign a label to an other layer&#x27;s attribute]]></description>
        <about><![CDATA[If you have two layers, one of them is a point vector layer with label text and another vector layer, you can assign label texts to an attribute column of the vector layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/zsiki/Label2Attr]]></homepage>
        <file_name>Label2Attr.1.0.zip</file_name>
        <icon>/media/packages/2019/icon_oHG017V.png</icon>
        <author_name><![CDATA[Zoltan Siki]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Label2Attr/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[Siki]]></uploaded_by>
        <create_date>2018-09-04T08:05:21.498641+00:00</create_date>
        <update_date>2019-02-05T20:04:36.463065+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zsiki/Label2Attr/issues]]></tracker>
        <repository><![CDATA[https://github.com/zsiki/label2attr]]></repository>
        <tags><![CDATA[label attributecopy]]></tags>
        <downloads>8234</downloads>
        <average_vote>2.7994401119776042</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SPC PopGIS" version="0.6" plugin_id="1532">
        <description><![CDATA[QGIS Plugin Integration with SPC PopGIS]]></description>
        <about><![CDATA[QGIS Plugin Integration with SPC PopGIS http://prism.spc.int/regional-data-and-tools/popgis2]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://gihub.com/sopac/popgis-plugin]]></homepage>
        <file_name>popgis-plugin.0.6.zip</file_name>
        <icon>/media/packages/2018/icon_81BmQtJ.png</icon>
        <author_name><![CDATA[Sachindra Singh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/popgis-plugin/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[redl]]></uploaded_by>
        <create_date>2018-09-04T20:31:46.939880+00:00</create_date>
        <update_date>2018-09-04T22:17:54.155890+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://gihub.com/sopac/popgis-plugin/issues]]></tracker>
        <repository><![CDATA[http://gihub.com/sopac/popgis-plugin]]></repository>
        <tags><![CDATA[stats,plugin,gis,qgis,popgis,population]]></tags>
        <downloads>9983</downloads>
        <average_vote>4.599080183963207</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cartographic Line Generalization" version="3.2.2" plugin_id="1535">
        <description><![CDATA[Generalize lines suitable for presentation on printed or screen maps.]]></description>
        <about><![CDATA[Algorithm gives lines (contours, coastlines, rivers, buildings etc.) on map with good geometrical and visual properties suitable for presentation on paper or screen maps. Level of generalization is controlled only by map scale making it very simple to use. If the result still looks too detailed or too coarse for some purpose, just change the scale parameter. It has distinct property of area preservation of features. This ensures that polygons do not collapse to lines or points, and also ensures closeness of input and generalized line. Nevertheless, topological issues are possible, e.g. self-intersections or intersections of features. The typical generalization combines simplification followed by smoothing. Generalization algorithms are based on area preserving approach known from generalization theory. This simulates manual generalization, and parameters of the algorithms were defined by analysing manually generalized lines in different scales.

TIPS:
- Input vector data must be in projected coordinate system.
- Default scale for generalization is scale of current map view, change if necessary.
- For buildings (or predominantly rectangular lines or polygons set algorithm to &quot;Orthogonal segments&quot;.
- If &quot;Remove small areas&quot; is selected, algorithm will automatically delete small areal objects for given scale. One can do manual filtering of small objects by area and appropriate threshold, too.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/dtutic/CartoLineGen]]></homepage>
        <file_name>cartolinegen.3.2.2.zip</file_name>
        <icon>/media/packages/2022/icon_OsbmsWi.png</icon>
        <author_name><![CDATA[Drazen Tutic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cartolinegen/version/3.2.2/download/</download_url>
        <uploaded_by><![CDATA[dtutic]]></uploaded_by>
        <create_date>2018-09-06T07:51:46.829547+00:00</create_date>
        <update_date>2022-05-19T08:44:28.202124+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/dtutic/CartoLineGen/issues]]></tracker>
        <repository><![CDATA[http://github.com/geof-osgl/CartoLineGen]]></repository>
        <tags><![CDATA[generalization,simplification,smoothing,cartography,area preserving]]></tags>
        <downloads>45021</downloads>
        <average_vote>3.4870900746134716</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KML Tools" version="3.2.4" plugin_id="1536">
        <description><![CDATA[Fast KML/KMZ importer, exporter, with description field expansion and ground overlay to GeoTIFF conversions.]]></description>
        <about><![CDATA[The native QGIS KML importer creates separate layers for each folder within a KML. If there are hundreds of layers, the import can be very slow or can crash QGIS. This plugin only creates one point layer, one line layer, and one polygon layer. It adds the nested folder structure to a field in the QGIS layer. This makes the KML/KMZ import very quick. An additional tool looks at the KML description field to see if there are two column tables with entries, &quot;tag=value&quot; pairs, or &quot;tag: value&quot; pairs that could be expanded into table fields. It can export point, line, and polygon layers to a KMZ preserving basic styling for simple, categorized and graduated styles. It can also extract ground overlay images and convert them to GeoTIFF images.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.10.1</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-kmltools-plugin]]></homepage>
        <file_name>kmltools.3.2.4.zip</file_name>
        <icon>/media/packages/2026/icon_mQSXEF3.png</icon>
        <author_name><![CDATA[Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kmltools/version/3.2.4/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2018-09-07T15:24:10.560191+00:00</create_date>
        <update_date>2026-03-12T15:50:42.133245+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-kmltools-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-kmltools-plugin]]></repository>
        <tags><![CDATA[html,kmz,export,kml,points,import,conversion,lines,polygons,geotiff,ground overlay,groundoverlay]]></tags>
        <downloads>754830</downloads>
        <average_vote>4.398381492190157</average_vote>
        <rating_votes>497</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QProto" version="1.9" plugin_id="1537">
        <description><![CDATA[Algorithm for rockfall analyses at small scale]]></description>
        <about><![CDATA[QPROTO is an algorithm for rockfall analyses at a small scale on the basis of the simplified *Cone Method* (Jaboyedoff &amp; Labious, 2011). It allows to preliminarily evaluate the effects of a rockfall event along a slope in terms of exposed areas, boulder velocity and boulder energy.A time-independent rockfall hazard can also be defined. QPROTO is designed by Politecnico di Torino (Marta Castelli, Monica Barbero &amp; Marco Grisolia), Arpa Piemonte (Rocco Pispico &amp; Luca Lanteri) and developed by Faunalia. This Plugin is partially funded by Italian 2015 PRIN Project: &quot;Innovative monitoring and design strategies for sustainable landslide risk mitigation&quot;. &lt;br&gt;
&lt;strong&gt;WARNING&lt;/strong&gt;&lt;br&gt;
Due to evolutions of the SAGA modules used in the plugin, QPROTO is not working in the latest versions of QGIS. &lt;br&gt;
While waiting to update the plugin, we recommend using the portable version &quot;QGIS 3.16.6-1 Hannover&quot; which can be used safely without interference with other QGIS installations. &lt;br&gt;
In this repository by Salvatore Fiandaca [1] you can download QGIS version 3.16.6-1 Hannover Portable Grass 7.8.5 LTR [2] and then install QPROTO. &lt;br&gt;
[1] &lt;a href=&quot;https://github.com/pigreco/QGIS_portable_3x&quot;&gt;https://github.com/pigreco/QGIS_portable_3x&lt;/a&gt; &lt;br&gt;
[2] &lt;a href=&quot;https://drive.google.com/file/d/1em9phgWHZd_gDM2ItiliYWBOEFMx1rOS/view?usp=sharing&quot;&gt;https://drive.google.com/file/d/1em9phgWHZd_gDM2ItiliYWBOEFMx1rOS/view?usp=sharing&lt;/a&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/faunalia/QPROTO/tree/master/help]]></homepage>
        <file_name>qproto.1.9.zip</file_name>
        <icon>/media/packages/2024/icon_BUSDbCY.png</icon>
        <author_name><![CDATA[Matteo Ghetta (Faunalia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qproto/version/1.9/download/</download_url>
        <uploaded_by><![CDATA[ghtmtt]]></uploaded_by>
        <create_date>2018-09-08T10:00:16.785096+00:00</create_date>
        <update_date>2024-02-21T08:30:44.224056+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/faunalia/QPROTO/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/faunalia/QPROTO/]]></repository>
        <tags><![CDATA[python,geology,viewshed,hazard,landslide,rockfall,cone method]]></tags>
        <downloads>12903</downloads>
        <average_vote>4.384446752047998</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Land Survey Codes Import" version="v0.3.0" plugin_id="1538">
        <description><![CDATA[This plugin allows you to easily import data from a land survey (GPS or total station) to draw automatically in a database using a codification (aka Field Codes).]]></description>
        <about><![CDATA[This plugin allows you to easily import data from a land survey (GPS or total station) to draw automatically in a database using a codification. Circle, rectangle, square, ellipse Continuous line, arcs, Multi code]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/landsurveycodesimport/]]></homepage>
        <file_name>LandSurveyCodesImport.v0.3.0.zip</file_name>
        <icon>/media/packages/2022/icon_ISpmqgt.svg</icon>
        <author_name><![CDATA[Loïc Bartoletti (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LandSurveyCodesImport/version/v0.3.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2018-09-12T06:47:31.313772+00:00</create_date>
        <update_date>2022-07-19T08:48:25.593073+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/landsurveycodesimport/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/oslandia/QGIS/landsurveycodesimport/]]></repository>
        <tags><![CDATA[vector,geocoding,point,cad,database,export,polygon,polyline,field,gps,geometry,topography,import,processing,survey,circle,rectangle,land]]></tags>
        <downloads>25321</downloads>
        <average_vote>4.612754427276539</average_vote>
        <rating_votes>31</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LCCS3 Basic Coder 3" version="1.0" plugin_id="1539">
        <description><![CDATA[The plugin loads a LCCS3 legend, creates a form with all LCCS3 classes and allows the user to code selected features]]></description>
        <about><![CDATA[LCCS3 Basic Coder 3 is the updated version for QGis 3.* of the older LCCS3 Basic Coder plugin. It is devoted to make easy the coding of geographical features on the basis of the classes of a LCCS3 legend. The main features are: - selection and loading of a LCCS3 legend - display of the list of LCCS3 classes - selection (and activation) of the vector layer containing the features to be coded - selection of the column (in the attributes table) to archive the LCCS3 codes - coding selected features LCCS3 is the last version of the Land Cover Classification System (LCCS) developed by FAO and UNEP in 1998 to facilitate the understanding of the classes of land cover regardless of the scale of mapping, the type of coverage, method of data collection, or geographic location. LCCS3 is an implementation of Land Cover Meta Language (LCML), become a standard ISO in 2012 with the identification 19144-2:2012. The LCML provides a common reference structure for the comparison and integration of data for any generic land cover classification system, and describes different land cover classification systems based on the physiognomic aspects.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.geovis.net/Product_LCCS3basicCoder.htm]]></homepage>
        <file_name>LCCS3basicCoder3-v_1_0.1.0.zip</file_name>
        <icon>/media/packages/2018/icon_d5MjtGO.png</icon>
        <author_name><![CDATA[Simone Maffei]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LCCS3basicCoder3-v_1_0/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[simonemaffei]]></uploaded_by>
        <create_date>2018-09-13T16:43:48.747831+00:00</create_date>
        <update_date>2018-09-13T16:43:49.292128+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GHsimone/LCCS3basicCoder3]]></tracker>
        <repository><![CDATA[https://github.com/GHsimone/LCCS3basicCoder3]]></repository>
        <tags><![CDATA[editing,legend,attribute,land,lccs3,coding,cover,lccs,landcover]]></tags>
        <downloads>4112</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Species Explorer" version="0.3.3" plugin_id="1541">
        <description><![CDATA[Quickly fetch and visualize species occurrence data from GBIF.]]></description>
        <about><![CDATA[Species Explorer is a QGIS plugin for exploring biodiversity data from the Global Biodiversity Information Facility (GBIF). Search for species by scientific or common name, view taxonomic hierarchies, fetch occurrence records, and visualize species distributions directly in QGIS. Made with love by Kartoza (https://kartoza.com).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kartoza/SpeciesExplorer]]></homepage>
        <file_name>SpeciesExplorer.0.3.3.zip</file_name>
        <icon>/media/packages/2026/icon_WFeySm3.png</icon>
        <author_name><![CDATA[Kartoza]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SpeciesExplorer/version/0.3.3/download/</download_url>
        <uploaded_by><![CDATA[timlinux]]></uploaded_by>
        <create_date>2018-09-16T15:13:58.397170+00:00</create_date>
        <update_date>2026-03-15T10:03:46.830896+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kartoza/SpeciesExplorer/issues]]></tracker>
        <repository><![CDATA[https://github.com/kartoza/SpeciesExplorer]]></repository>
        <tags><![CDATA[ecology,species,biodiversity,wildlife,occurrence,gbif,conservation]]></tags>
        <downloads>14128</downloads>
        <average_vote>3.99966669444213</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geoscience" version="1.17" plugin_id="1542">
        <description><![CDATA[Tools for Geoscience &amp; Exploration]]></description>
        <about><![CDATA[Geoscience: &lt;b&gt;Tools for Geoscience and Exploration&lt;/b&gt;&lt;ul&gt;&lt;li&gt;Drill hole display&lt;/li&gt;&lt;li&gt;Drill hole sections&lt;/li&gt;&lt;li&gt;Convert alpha/beta structure data&lt;/li&gt;&lt;li&gt;Vector tools&lt;/li&gt;&lt;li&gt;Raster tools&lt;/li&gt;&lt;li&gt;Local grids&lt;/li&gt;&lt;/ul&gt; Send ideas &amp; requests to roleyhill@gmail.com]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.spatialintegration.com/]]></homepage>
        <file_name>geoscience.1.17.zip</file_name>
        <icon>/media/packages/2026/Geoscience_Go1sJza.png</icon>
        <author_name><![CDATA[Roland Hill]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoscience/version/1.17/download/</download_url>
        <uploaded_by><![CDATA[roleyhill]]></uploaded_by>
        <create_date>2018-09-18T21:47:14.396817+00:00</create_date>
        <update_date>2025-04-08T01:22:19.510551+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rolandhill/geoscience/issues]]></tracker>
        <repository><![CDATA[https://github.com/rolandhill/geoscience]]></repository>
        <tags><![CDATA[python,geology,well,affine,borehole,section,geophysics,drilling,drill,geoscience,hole,drillhole,desurvey,local grid,mine grid,alpha,beta,structural reading]]></tags>
        <downloads>114301</downloads>
        <average_vote>4.47616383235814</average_vote>
        <rating_votes>168</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GPXtoSpaceTimeCube" version="1.0" plugin_id="1543">
        <description><![CDATA[This tool transforms any GPX to a 3D Space‑Time Cube using Matplotlib]]></description>
        <about><![CDATA[Loads GPX track points and generates a 3D space‑time cube visualization using Matplotlib, showing longitude, latitude and elapsed time. Exports plots to PNG and embeds them in a Qt dialog.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Nimrod51/gpx-to-spacetimecube]]></homepage>
        <file_name>GPXToSpaceTimeCube.1.0.zip</file_name>
        <icon>/media/packages/2018/icon_Cfitjil.png</icon>
        <author_name><![CDATA[Nimrod Gavish]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GPXToSpaceTimeCube/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[ngavish]]></uploaded_by>
        <create_date>2018-09-24T10:11:19.525366+00:00</create_date>
        <update_date>2025-07-01T15:50:13.019049+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Nimrod51/gpx-to-spacetimecube/issues]]></tracker>
        <repository><![CDATA[https://github.com/Nimrod51/gpx-to-spacetimecube]]></repository>
        <tags><![CDATA[gpx,matplotlib,3d,space time cube]]></tags>
        <downloads>4073</downloads>
        <average_vote>3.4982508745627188</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CityJSON Loader" version="0.8.2" plugin_id="1544">
        <description><![CDATA[This plugin allows for CityJSON files to be loaded in QGIS]]></description>
        <about><![CDATA[This plugin allows QGIS to load CityJSON datasets. Data are loaded in respective tables and all information are loaded.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cityjson/cityjson-qgis-plugin]]></homepage>
        <file_name>CityJSON-loader.0.8.2.zip</file_name>
        <icon>/media/packages/2025/cityjson_logo.svg</icon>
        <author_name><![CDATA[3D geoinformation group (TU Delft)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CityJSON-loader/version/0.8.2/download/</download_url>
        <uploaded_by><![CDATA[ginast]]></uploaded_by>
        <create_date>2018-09-26T10:15:56.485903+00:00</create_date>
        <update_date>2025-03-17T13:09:44.354467+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cityjson/cityjson-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/cityjson/cityjson-qgis-plugin]]></repository>
        <tags><![CDATA[python,3d,cityjson]]></tags>
        <downloads>41333</downloads>
        <average_vote>4.239830406783728</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DICT" version="1.0.3" plugin_id="1545">
        <description><![CDATA[Assistant pour répondre aux DT/DICT (French only / Français seulement)]]></description>
        <about><![CDATA[Le plugin permet de charger un XML d&#x27;une demande de DT/DICT pour exporter le plan à fournir avec le formulaire. Ce dernier est pré rempli par le plugin et se complète par un assistant reprennant le cerfa. Veuillez vous rendre sur la page du projet pour trouver la documentation.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/DICT/]]></homepage>
        <file_name>DICT.1.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_cXVucR1.png</icon>
        <author_name><![CDATA[Loïc BARTOLETTI (Oslandia), Jean-Marie Arsac (Azimut)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DICT/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2018-09-26T19:26:57.894704+00:00</create_date>
        <update_date>2025-11-06T07:15:16.871405+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/DICT/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/DICT/]]></repository>
        <tags><![CDATA[france,dict,dt,travaux,construire]]></tags>
        <downloads>13026</downloads>
        <average_vote>4.299856671444285</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Imajnet QGIS" version="1.0.4" plugin_id="1546">
        <description><![CDATA[Imajnet QGIS]]></description>
        <about><![CDATA[imajnet® is a safe and powerful featured web service giving access to nationwide surveys performed with imajbox® mobile mapping system, for any entity within an organization. Flexible, imajnet® is provided with extensions and SDKs to be integrated in ESRI suite and any other third party GIS web or desktop application. More than a hosting platform for up-to-date field geo-localized images, imajnet® provides a set of tools to extract GIS data from surveys, search for places in geographical or linear coordinates, project vector layers in images, compare surveys over time and make 3D measurements.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://imajnet.net]]></homepage>
        <file_name>imajnet-qgis-plugin.1.0.4.zip</file_name>
        <icon>/media/packages/2025/icon_iQc7tOU.png</icon>
        <author_name><![CDATA[Imajing sas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/imajnet-qgis-plugin/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[imajing]]></uploaded_by>
        <create_date>2018-10-03T10:42:24.154613+00:00</create_date>
        <update_date>2025-03-14T08:46:40.492438+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/imajing/imajnet-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/imajing/imajnet-qgis-plugin]]></repository>
        <tags><![CDATA[street view,image,imajing,imajnet,imajview,imajbox,mobile mapping]]></tags>
        <downloads>11272</downloads>
        <average_vote>4.299856671444285</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DDG Street Images" version="1.0.3" plugin_id="1549">
        <description><![CDATA[The plugin open DDG street images in the browser]]></description>
        <about><![CDATA[COWI, Denmark&#x27;s Digital Street Images (DDG) - CPV plugin
This plugin allows you to open COWI&#x27;s street images by clicking on the map.
CPV Plugin requires a subscription to DDG and login and password assigned by COWI. The CPV Plugin allows clicking in the QGIS project, after which the CPV opens the nearest street image in the user&#x27;s default browser.
CPV includes panning functionality, shortcuts to quickly search street images, to view next / previous image in driving directions, turn on and off background map layers, address search, annotation / redlining on images, plot in pdf and jpg format, image quality adjustment, measure lengths, heights and areas etc. .. CPV functionality can be expanded to view oblique photos.
Contact COWI for subscription. The CPV plugin supports QGIS version 3 and supports the following QGIS project projections (SRID): 4326, 3857, 25832, 3009. The CPV plugin is configured by user in a config.txt file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JeppeLundAndersen/DDGStreetImages]]></homepage>
        <file_name>DDG_Street_Images.1.0.3.zip</file_name>
        <icon>/media/packages/2018/icon_Nmu08WA.png</icon>
        <author_name><![CDATA[COWI AS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DDG_Street_Images/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[jeppelund]]></uploaded_by>
        <create_date>2018-10-08T20:01:48.916963+00:00</create_date>
        <update_date>2018-10-08T20:38:34.623845+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JeppeLundAndersen/DDGStreetImages/issues]]></tracker>
        <repository><![CDATA[https://github.com/JeppeLundAndersen/DDGStreetImages]]></repository>
        <tags><![CDATA[street view,street,view,cowi,cov,ddg,panoramic,street images,cpv]]></tags>
        <downloads>11990</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Vision" version="0.8" plugin_id="1550">
        <description><![CDATA[Work with Raster Vision data in QGIS]]></description>
        <about><![CDATA[The Raster Vision QGIS plugin allows users to visualize experiment files and make predictions using deep learning models created by Raster Vision. Requires the &#x27;rastervision&#x27; package, which can be found on pypi.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2018/icon_qRIoCwa.png</icon>
        <author_name><![CDATA[Azavea]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rastervision_qgis/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[remanuele]]></uploaded_by>
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        <update_date>2018-10-10T02:12:00.266603+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/azavea/raster-vision-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/azavea/raster-vision-qgis]]></repository>
        <tags><![CDATA[python]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="debugvs" version="0.8" plugin_id="1556">
        <description><![CDATA[Plugin to Enable Debug for Visual Studio]]></description>
        <about><![CDATA[This plugin is for debugging in Visual Studio ( tested in Visual Studio Code).
For use, run this plugin and enable the Debug (Python:Attach) in Visual Studio.
Need install the debugpy&#x27;s module(pip3 install debugpy).
* The icon author is Papirus Development Team.

Use the Devtools (NextGIS).
https://plugins.qgis.org/plugins/devtools/]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2023/code.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/debug_vs/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
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        <update_date>2023-08-05T17:19:58.571063+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/debug_vs_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/debug_vs_plugin]]></repository>
        <tags><![CDATA[debug,visual studio,developers]]></tags>
        <downloads>11813</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BioDispersal" version="1.3.1" plugin_id="1557">
        <description><![CDATA[Computes dispersal areas based on landscape permeability]]></description>
        <about><![CDATA[NEW: Video tutorials available !&lt;/br&gt;&lt;/br&gt;BioDispersal is a QGIS 3 plugin computing potential dispersal areas based on landscape permeability in order to model ecological continuities. It defines a procedure easing data preparation and performing effective dispersal computation. For each subnetwork (for instance grasslands, wetlands, a specific species) :
- input data is selected, classified and rasterized according to specified extent and resolution
- rasterized layers are merged
- friction coefficients are assigned to merged layer classes
- disperal areas are computed from habitat layer according to friction layer and maximal dispersal capacity
BioDispersal has been developped by Mathieu Chailloux and Jennifer Amsallem from IRSTEA / UMR TETIS. It has been funded by the French ecological network resource center and French ministry of ecology.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MathieuChailloux/BioDispersal/blob/master/README.md]]></homepage>
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        <icon>/media/packages/2025/cerf.png</icon>
        <author_name><![CDATA[Mathieu Chailloux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BioDispersal/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[mc]]></uploaded_by>
        <create_date>2018-10-24T09:55:43.377030+00:00</create_date>
        <update_date>2025-06-10T09:26:55.480724+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MathieuChailloux/BioDispersal/issues]]></tracker>
        <repository><![CDATA[https://github.com/MathieuChailloux/BioDispersal]]></repository>
        <tags><![CDATA[ecology,python,landscape,animal,permeability,ecological continuities,dispersal]]></tags>
        <downloads>27001</downloads>
        <average_vote>4.590700422708059</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickMultiAttributeEdit3" version="3.0.3" plugin_id="1559">
        <description><![CDATA[QuickMultiAttributeEdit3 plugin is a quick and handy way to edit an attribute field value for all selected elements in the current/active layer.]]></description>
        <about><![CDATA[QuickMultiAttributeEdit3 plugin is a way to edit selected elements on vector layer assigning the inserted field/value to them; optionally the plugin can remember the field and the latest inserted value.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcobra/QuickMultiAttributeEdit3]]></homepage>
        <file_name>QuickMultiAttributeEdit3.3.0.3.zip</file_name>
        <icon>/media/packages/2020/quickmultiattributeedit_update_selected_MnLBaEe.png</icon>
        <author_name><![CDATA[Marco Braida]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickMultiAttributeEdit3/version/3.0.3/download/</download_url>
        <uploaded_by><![CDATA[marcobra]]></uploaded_by>
        <create_date>2018-10-24T16:04:59.657519+00:00</create_date>
        <update_date>2020-03-04T02:59:11.472042+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/marcobra/QuickMultiAttributeEdit3/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcobra/QuickMultiAttributeEdit3]]></repository>
        <tags><![CDATA[vector,attribute,update,database,field,edit]]></tags>
        <downloads>54286</downloads>
        <average_vote>4.6828126143264805</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Find Dataset" version="1.1.0" plugin_id="1564">
        <description><![CDATA[Finds datatesets, from a specific folder(s), that intersect a location in the map]]></description>
        <about><![CDATA[Finds datasets, from a specific folder(s), that intersect a location in the map.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lcalisto/qgis-finddataset-plugin]]></homepage>
        <file_name>finddataset.1.1.0.zip</file_name>
        <icon>/media/packages/2019/icon_LASS48X.png</icon>
        <author_name><![CDATA[Luis Calisto and Andre Mano]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/finddataset/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[lcalisto]]></uploaded_by>
        <create_date>2018-11-05T16:39:28.439881+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lcalisto/qgis-finddataset-plugin/issues]]></tracker>
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        <tags><![CDATA[vector,raster,point,search,find,location,files,datasets,intersects,intersect,filesystem]]></tags>
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        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="StreetAnalysis" version="0.1" plugin_id="1568">
        <description><![CDATA[Analysis for Streets]]></description>
        <about><![CDATA[Module for analysing streets traveled from every node in networked streets. It also provides analyses of the network of streets to provide data on node centrality and  efficiency measures. The modul has been used to assess modern and ancient street networks applying space syntax methods. There are two dependencies needed, which are networkx (2.2) and pysal (1.14). Users are encouraged to look at https://networkx.github.io/documentation/stable/install.html and https://pysal.readthedocs.io/en/latest/users/installation.html for installation of these two libraries.]]></about>
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        <homepage><![CDATA[http://homepage]]></homepage>
        <file_name>StreetAnalysis.0.1.zip</file_name>
        <icon>/media/packages/2020/images_hXc9DbI.png</icon>
        <author_name><![CDATA[Mark Altaweel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/StreetAnalysis/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[maltaweel]]></uploaded_by>
        <create_date>2018-11-14T12:51:01.421269+00:00</create_date>
        <update_date>2019-03-18T13:23:48.574800+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://bugs]]></tracker>
        <repository><![CDATA[https://github.com/maltaweel/StreetAnalysis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8743</downloads>
        <average_vote>3.799240151969606</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Polygon Cluster Reducer" version="0.1" plugin_id="1569">
        <description><![CDATA[This plugin removes polygons from the cluster, based on the user parameters.]]></description>
        <about><![CDATA[Example scenario: Distance between the buildings must be at least 100m. But only the buildings that have an area less than 500m2 should be removed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://zoran-software.com]]></homepage>
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        <icon>/media/packages/2018/icon_XcwhNYr.png</icon>
        <author_name><![CDATA[Zoran Petrović]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/polygonclusterreducer/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[zoran87]]></uploaded_by>
        <create_date>2018-11-14T14:13:35.837541+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zoran-petrovic-87/qgis3-polygon-cluster-reducer/issues]]></tracker>
        <repository><![CDATA[https://github.com/zoran-petrovic-87/qgis3-polygon-cluster-reducer.git]]></repository>
        <tags><![CDATA[remove,distance,polygon,area,cluster,radius]]></tags>
        <downloads>8660</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Go2NextFeature3" version="2.1" plugin_id="1572">
        <description><![CDATA[Allows jumping from a feature to another following an attribute order]]></description>
        <about><![CDATA[This plugin allows to select a layer and jump from a feature to another. It&#x27;s possible to select an attribute of the the layer (usually an ID) and follow it. Press &quot;F8&quot; to go to the next feature. It&#x27;s possibile to use a PAN function or a Zoom function(usefull for poligons and lines). The plugin was created for checking the position of every single feature of a layer without using the attribute table.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>Go2NextFeature3.2.1.zip</file_name>
        <icon>/media/packages/2021/icon_05gdNEK.png</icon>
        <author_name><![CDATA[Alberto De Luca for Tabacco Editrice]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Go2NextFeature3/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[tabaccoeditrice]]></uploaded_by>
        <create_date>2018-11-21T07:29:22.064904+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/tabacco_editrice/go2nextfeature/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/tabacco_editrice/go2nextfeature]]></repository>
        <tags><![CDATA[feature browser,navigation]]></tags>
        <downloads>25237</downloads>
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        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Batch Vector Layer Saver" version="0.9" plugin_id="1578">
        <description><![CDATA[Saves multiple layers in different formats in a batch mode.]]></description>
        <about><![CDATA[Saves multiple vector layers in the format of your choice in a customizable folder destination. Adopted from  https://github.com/rjspiers/qgis-batch-save-layers for QGIS3.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2018/icon_OILB3KI.png</icon>
        <author_name><![CDATA[Riccardo Klinger]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/batchvectorlayersaver/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[riccardoklinger]]></uploaded_by>
        <create_date>2018-11-23T09:48:11.345666+00:00</create_date>
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        <experimental>False</experimental>
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        <repository><![CDATA[https://github.com/riccardoklinger/batch-vector-layer-saver]]></repository>
        <tags><![CDATA[vector,python,save,batch]]></tags>
        <downloads>39361</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="myfiber" version="0.5.2" plugin_id="1579">
        <description><![CDATA[Client access to myfiber API for fiber services]]></description>
        <about><![CDATA[myfiber provides access to a generic API for fiber broadband services in Austria using a REST based https/json Interface.
Any request requires a valid API Token. API Tokens are provided by fiber infrastructure providers: noegig, bbrg
Even if access to the content requires a valid Token, the code might be useful for similar projects where Token based access is required.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>myfiber.0.5.2.zip</file_name>
        <icon>/media/packages/2019/icon_plugin_xm5DKXp.svg</icon>
        <author_name><![CDATA[correlate analytics gmbh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/myfiber/version/0.5.2/download/</download_url>
        <uploaded_by><![CDATA[correlate]]></uploaded_by>
        <create_date>2018-11-26T16:03:51.279436+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/correlate/myfiber-QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/correlate/myfiber-QGIS-plugin.git]]></repository>
        <tags><![CDATA[api,broadband,fiber]]></tags>
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        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LINZ Data Importer" version="2.3.1" plugin_id="1581">
        <description><![CDATA[Import LDS OGC Datasets into QGIS]]></description>
        <about><![CDATA[Get the LINZ Data Importer plugin to explore and connect to data from Toitū Te Whenua Land Information New Zealand into QGIS. Import any WFS or WMTS supported data from the LINZ Data Service, LINZ Basemaps or other participating agency open data portals direct into your QGIS project.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2022/icon_Prc4PkV.png</icon>
        <author_name><![CDATA[Toitū Te Whenua Land Information New Zealand]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/linz-data-importer/version/2.3.1/download/</download_url>
        <uploaded_by><![CDATA[linzqgisplugins]]></uploaded_by>
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        <server>False</server>
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        <description><![CDATA[This tool can be used to visualize features of a point/polygon layer one by one.]]></description>
        <about><![CDATA[This tool can be used to visualize the features of a point/polygon layer one by one.
Specifically, you can select a point/polygon layer to be visualized, then select the desired time delay
(in seconds) and the accumulative or current only display. Then the point/polygon features in the layer
will appear one by one according. You can use it for example to visualize a moving car/bird/boat/buildings etc.
&lt;strong&gt;Video example:&lt;/strong&gt; &lt;a href=&quot;https://www.youtube.com/watch?v=VDwKueEliEw&quot; target=&quot;_blank&quot;&gt;QVisualize&lt;/a&gt;]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2018/icon_LoqWEW4.png</icon>
        <author_name><![CDATA[Marios S. Kyriakou, KIOS Research and Innovation Center of Excellence (KIOS CoE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QVisualize/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
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        <repository><![CDATA[https://github.com/KIOS-Research/QVisualize/]]></repository>
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        <downloads>7247</downloads>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="agknow for QGIS" version="0.7.5" plugin_id="1584">
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        <about><![CDATA[This plugin allows the usage of the remote sensing API ag|knowledge from geo|cledian.com. The API provides a field monitoring service that allows to monitor any agricultural field worldwide with a variety of vegetation indexes, crop parameters, times series analysis and comparison features based on satellite data.&lt;p&gt; Features of the plugin include the download and analysis of time series of visible and vegetation indexes rasters of registered fields. The data is based on Landsat-8 and Sentinel-2 currently. See &lt;a href=&quot;https://docs.geocledian.com&quot;&gt;https://docs.geocledian.com&lt;/a&gt; for a detailed product overview.&lt;p&gt; Please note that you will need a registered API key from geocledian.com to use this plugin for your area of interest. The plugin is delivered with a demo key that allows to access some demo parcels around the world for evaluation purposes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geocledian.com]]></homepage>
        <file_name>agknow_qgis.0.7.5.zip</file_name>
        <icon>/media/packages/2022/agknow_project_logo_xdVH3or.jpg</icon>
        <author_name><![CDATA[geo|cledian.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/agknow_qgis/version/0.7.5/download/</download_url>
        <uploaded_by><![CDATA[jsommer]]></uploaded_by>
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        <about><![CDATA[PAT is a QGIS plugin for tools required for processing and analysing precision agriculture data. It includes tools for data cleaning and map interpolation to create TIFF&#x27;s from high spatial density on-the-go sensor data such as yield monitor or EM38 soil sensor data. There are also tools for analysis of remotely sensed imagery and for the clustering of multiple datasets.
.
This is a Windows only plugin, This plugin requires the installation of the following Python libraries: pyprecag, fiona, and rasterio. Full installation instructions are provided in the manual available at: https://github.com/CSIRO-Precision-Agriculture/PAT_QGIS_Plugin/blob/master/pat/PAT_User_Manual.pdf
.
Developed by the CSIRO Precision Agriculture Team, this project is supported by Wine Australia through funding from the Australian Government Department of Agriculture as part of its Rural R&amp;D for Profit program.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.99</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CSIRO-Precision-Agriculture/PAT_QGIS_Plugin]]></homepage>
        <file_name>pat.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_1YUghOn.png</icon>
        <author_name><![CDATA[Christina Ratcliff]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pat/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[cratcliff]]></uploaded_by>
        <create_date>2019-02-06T02:16:54.097278+00:00</create_date>
        <update_date>2025-02-24T03:36:47.318951+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CSIRO-Precision-Agriculture/PAT_QGIS_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/CSIRO-Precision-Agriculture/PAT_QGIS_Plugin]]></repository>
        <tags><![CDATA[vector,raster,agriculture,kriging,precision agriculture,csiro]]></tags>
        <downloads>29683</downloads>
        <average_vote>4.174536912112506</average_vote>
        <rating_votes>63</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArcGIS ImageServer Connector" version="2.2.0" plugin_id="1633">
        <description><![CDATA[ArcGIS ImageServer Connector]]></description>
        <about><![CDATA[ArcGIS ImageServer Connector This plugin allows users to connect to some ArcGIS REST API ImageServer Services. This plugin is a fork by the Swedish Agency for Marine and Water Management, SwAM of ArcGIS REST API Services by geometalab. The main focus is to gain access to raster functions such as NDVI and NDWI ect as hosted on Image Servers. It provides a fast way to visually scan the image as to decide if the area of interest is cloud free. Most of the image servers API functions found under “export image” has been transferred to the plugin. It relies on advanced query so it will not work with older image server installations (10.2.5 and older). It is i encouraged to extend on this application as much as is needed to further increase the amount of image servers that can be accessed from QGIS. For information on how to take advantage of the API please read more here: https://developers.arcgis.com/rest/services-reference/image-service.htm]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.2</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/sitg-lab/ImageServerConnector-QGIS-Plugin]]></homepage>
        <file_name>ImageServerConnector.2.2.0.zip</file_name>
        <icon>/media/packages/2026/logo_DQtPapC.png</icon>
        <author_name><![CDATA[Original authors: Anton Myrholm, Alma Ottedag - Current maintainer: Olivier Dalang (Etat de Genève)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ImageServerConnector/version/2.2.0/download/</download_url>
        <uploaded_by><![CDATA[cantongeneve]]></uploaded_by>
        <create_date>2019-02-07T07:31:29.010833+00:00</create_date>
        <update_date>2026-01-22T12:44:02.626580+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/sitg-lab/ImageServerConnector-QGIS-Plugin/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/sitg-lab/ImageServerConnector-QGIS-Plugin]]></repository>
        <tags><![CDATA[arcgis,api,image server,mosaic rules,time extent,image service,raster functions]]></tags>
        <downloads>107151</downloads>
        <average_vote>4.596737123087717</average_vote>
        <rating_votes>124</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AwaP" version="2.0.2" plugin_id="1634">
        <description><![CDATA[This plugin takes in outlines of urban blocks and the boundary of area of interest, and calculates area-weighted average parameter (AwaP)]]></description>
        <about><![CDATA[This plugin calculates area-weighted average perimeter (AwaP) of urban blocks within the defined area. The tool removes dead-end streets up to a specified maximum street width.  This method was first presented in Pafka E. and Dovey K. (2017), Permeability and interface catchment: measuring and mapping walkable access (https://www.tandfonline.com/doi/abs/10.1080/17549175.2016.1220413); and this plugin is presented in Majic I. and Pafka E. (2019), AwaP-IC - An Open-Source GIS Tool for Measuring Walkable Access (https://www.mdpi.com/2413-8851/3/2/48). The video tutorial for AwaP is available online (https://vimeo.com/elekpafka/awap).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Awapic/AwaP]]></homepage>
        <file_name>awap.2.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_BtfQOgj.png</icon>
        <author_name><![CDATA[Ivan Majic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/awap/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[imajic]]></uploaded_by>
        <create_date>2019-02-08T01:27:15.589319+00:00</create_date>
        <update_date>2024-09-13T15:28:12.563704+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Awapic/AwaP/issues]]></tracker>
        <repository><![CDATA[https://github.com/Awapic/AwaP]]></repository>
        <tags><![CDATA[urban morphology,permeability,street network]]></tags>
        <downloads>10263</downloads>
        <average_vote>4.749851567138527</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Interface Catchment" version="2.0.3" plugin_id="1635">
        <description><![CDATA[Calculates the interface catchment on urban blocks within a specified walking distance.]]></description>
        <about><![CDATA[This is a plugin for calculating the interface catchment on urban blocks within a specified walking distance. This method was first presented in Pafka E. and Dovey K. (2017), Permeability and interface catchment: measuring and mapping walkable access (https://www.tandfonline.com/doi/abs/10.1080/17549175.2016.1220413); and this plugin is presented in Majic I. and Pafka E. (2019), AwaP-IC - An Open-Source GIS Tool for Measuring Walkable Access (https://www.mdpi.com/2413-8851/3/2/48). The video tutorial for IC is available online (https://vimeo.com/elekpafka/ic).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Awapic/IC]]></homepage>
        <file_name>interfacecatchment.2.0.3.zip</file_name>
        <icon>/media/packages/2024/icon_qV1bKTd.png</icon>
        <author_name><![CDATA[Ivan Majic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/interfacecatchment/version/2.0.3/download/</download_url>
        <uploaded_by><![CDATA[imajic]]></uploaded_by>
        <create_date>2019-02-08T01:28:08.805489+00:00</create_date>
        <update_date>2024-09-13T14:55:56.002459+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Awapic/IC/issues]]></tracker>
        <repository><![CDATA[https://github.com/Awapic/IC]]></repository>
        <tags><![CDATA[urban morphology,street network,walkability,interface catchment,ic]]></tags>
        <downloads>9455</downloads>
        <average_vote>4.717827748006462</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Aderyn Data Search" version="1.0" plugin_id="1640">
        <description><![CDATA[This plugin searches the LERC Wales Aderyn wildlife database.]]></description>
        <about><![CDATA[This plugin searches the LERC Wales Aderyn wildlife database. Different search geometries can be used and different buffers specified for each species category. To use this plugin, you must have access to the LERC Wales merged database. Your login details for the database will be required to use this plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://aderyn.lercwales.org]]></homepage>
        <file_name>aderyn.1.0.zip</file_name>
        <icon>/media/packages/2019/icon_SlLAgOZ.png</icon>
        <author_name><![CDATA[Biodiversity Information Service]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/aderyn/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[stevebis]]></uploaded_by>
        <create_date>2019-02-13T09:52:11.103207+00:00</create_date>
        <update_date>2019-09-11T08:53:01.029352+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BiodiversityInformationService/aderyn-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/stevegoddard/aderyn-qgis-plugin]]></repository>
        <tags><![CDATA[python aderyn wales lerc]]></tags>
        <downloads>19121</downloads>
        <average_vote>3.27242977911099</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QCopycanvas" version="0.8" plugin_id="1642">
        <description><![CDATA[This tool can be used to copy the map canvas and place it in the clipboard.]]></description>
        <about><![CDATA[This tool can be used to copy the map canvas and place it in the clipboard. Using button or shortcut `Ctrl-Space`. Also, you can copy canvas with legend using button or shortcut `Ctrl-W`. This plugin is based on the plugin &quot;Copy Canvas to Clipboard&quot; in QGIS 2 by Bo Victor Thomsen - Municipality of Frederikssund.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mariosmsk.com/2019/02/13/qcopycanvas-qgis/]]></homepage>
        <file_name>QCopycanvas.0.8.zip</file_name>
        <icon>/media/packages/2025/icon_DaiZlho.png</icon>
        <author_name><![CDATA[Marios S. Kyriakou, KIOS Research and Innovation Center of Excellence (KIOS CoE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QCopycanvas/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
        <create_date>2019-02-13T11:50:11.209334+00:00</create_date>
        <update_date>2025-07-16T06:50:55.240989+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mariosmsk/QCopycanvas/issues/]]></tracker>
        <repository><![CDATA[https://github.com/Mariosmsk/QCopycanvas/]]></repository>
        <tags><![CDATA[legend,canvas,print,copy,clipboard]]></tags>
        <downloads>22206</downloads>
        <average_vote>4.817962819871823</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SocialActivity" version="1.0" plugin_id="1644">
        <description><![CDATA[SocialActivity is a plugin developed for QGIS platform, whose purpose is to plot social activities around a supplied point.]]></description>
        <about><![CDATA[The simple and clean interface gives all the features to retrieve geopoints and plot them on your map.
All you need to do is to point your favourite place on the map ( &quot;SocialActivity&quot; automatically will catch map coordinates using WGS84 standard) and click on &quot;OK&quot; button ;)
In two simple steps you are ready to go, but if you need a deeper customization, you&#x27;ll find some interesting tools in the interface that will help you in that:
- &quot;Max-Range&quot; is useful to define a range around your supplied point, to retrieve all social activities inner that range
- &quot;Num. Points&quot; can be handy if you need to define your favourite number of geopoints to plot.
- &quot;Real Points&quot; flag is used to retrieve proper geographic coordinates from social activities. Keep in mind that just 2-4 percentage of all social activities have real geographic coordinates enclosed, reason why I thought that it was handy to have also geocoded points feature.
- &quot;Decoded Points&quot; flag is used to retrieve geocoded points starting from geographic info enclosed in the social activities analyzed. That means &quot;city of birth&quot;, &quot;home town&quot;, &quot;visited place&quot; and whatever found in the user&#x27;s bio is geocoded in geographic coordinates to be plotted.
Because of all that, I thought that was not enough, I added another feature :P
- &quot;Keyword - @Name - #Tag&quot; is a powerful field with which you can define an argument, a subject, a place, or whatever is spoken in social networks to trace its geographic activity and propagation starting from a supplied point :D Be aware that &quot;with great power comes great responsibility&quot;, so use it in a savvy manner ;)
Why &quot;Settings...&quot;?
- Well to make all that working, for each social network you&#x27;ll need to gain you &quot;API Credentials&quot; or &quot;API Access Tokens&quot;. At the moment &quot;SocialActivity&quot; plugin works with Twitter API reason why you&#x27;ll see available just &quot;Twitter Setting Page&quot;, but in future releases will be integrated also others social network. More info to gain your &quot;Twitter API Access Tokens&quot; at &quot;https://developer.twitter.com/en/docs/basics/authentication/guides/access-tokens.html&quot;
Some info on &quot;SocialActivity&quot; plugin:
- &quot;SocialActivity&quot; at the moment use &quot;geopy&quot; library for it&#x27;s geocode subservice. User, differently to other plugins, doesn&#x27;t need to install any additional package because all is enclosed with plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/vincenzolanzaro/SocialActivity]]></homepage>
        <file_name>SocialActivity.1.0.zip</file_name>
        <icon>/media/packages/2019/icon_fWA7Tzg.png</icon>
        <author_name><![CDATA[Vincenzo Lanzaro - SimplySoftware.co]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SocialActivity/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[maverjk]]></uploaded_by>
        <create_date>2019-02-15T15:32:29.284265+00:00</create_date>
        <update_date>2019-02-15T15:32:29.465988+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vincenzolanzaro/SocialActivity/issues]]></tracker>
        <repository><![CDATA[https://github.com/vincenzolanzaro/SocialActivity]]></repository>
        <tags><![CDATA[python twitter social socialactivity social_activity]]></tags>
        <downloads>3348</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QWeb" version="0.2.1" plugin_id="1646">
        <description><![CDATA[This plugin enables users to open a window within the QGIS environment where the user can browse through the web.]]></description>
        <about><![CDATA[This plugin enables users to open a window within the QGIS environment where the user can browse through the web. This can help the user to view for example tutorials and manuals for QGIS or any other web content.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mariosmsk.com/2019/02/16/qweb-qgis/]]></homepage>
        <file_name>QWeb.0.2.1.zip</file_name>
        <icon>/media/packages/2020/icon_WJCyG8q.png</icon>
        <author_name><![CDATA[Marios S. Kyriakou, George A. Christou, KIOS Research and Innovation Center of Excellence (KIOS CoE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QWeb/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
        <create_date>2019-02-16T16:42:13.294100+00:00</create_date>
        <update_date>2020-02-04T15:07:11.292060+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KIOS-Research/QWeb/issues/]]></tracker>
        <repository><![CDATA[https://github.com/KIOS-Research/QWeb]]></repository>
        <tags><![CDATA[python,web,google,qgis,forums]]></tags>
        <downloads>41061</downloads>
        <average_vote>4.761678015332603</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ThToolBox" version="2.19" plugin_id="1648">
        <description><![CDATA[TLUBN Algorithms (formerly TlugProcessing)]]></description>
        <about><![CDATA[This is a processing tools collection of the Thüringer Landesamt für Umwelt, Bergbau und Naturschutz (TLUBN).

2D -&gt; 3D
-- Attach raster values to line vertices

File Tools
-- File Transfer By Table
-- Files To Table

To Profile Coordinates
-- Line - Baseline Intersections
-- Plane - Baseline Intersections (directed points)
-- Points (incl. Bore Axis)
-- Polygon - Baseline Intersections
-- Raster Gradient
-- Reverse To Real World
-- Shift Profile Origin (X-Axis)

Vector Seletion
-- Select Duplicates

Web
-- Download by Features
-- Store WMS Images By Features

&lt;a href=&quot;https://github.com/Mi-Kbs-gis/ThToolBox/raw/master/help/ThToolBox_Doc_de.pdf&quot; title=&quot;Documentation(DE)&quot;&gt;Documentation(DE)&lt;/a&gt;
&lt;a href=&quot;https://tlubn-thueringen.de&quot; title=&quot;TLUBN&quot;&gt;TLUBN&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mi-Kbs-gis/ThToolBox]]></homepage>
        <file_name>ThToolBox.2.19.zip</file_name>
        <icon>/media/packages/2019/ThToolBox_Logo.png</icon>
        <author_name><![CDATA[Michael Kürbs by Thüringer Landesamt für Umwelt, Bergbau und Naturschutz (TLUBN)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ThToolBox/version/2.19/download/</download_url>
        <uploaded_by><![CDATA[mkthuringia]]></uploaded_by>
        <create_date>2019-02-18T06:11:19.282792+00:00</create_date>
        <update_date>2024-12-18T10:01:55.641160+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mi-Kbs-gis/ThToolBox/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mi-Kbs-gis/ThToolBox]]></repository>
        <tags><![CDATA[vector,raster,profile,sample,web,capture,wms,table,dem,processing,copy,3d,linear referencing,lines,download,move,cross section,point cloud,duplicates,z,profil,2.5d,file list,rip,file transfer,overwrite]]></tags>
        <downloads>26221</downloads>
        <average_vote>3.1248697970917876</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Navtable" version="0.2.0" plugin_id="1650">
        <description><![CDATA[NavTable is a QGIS plugin to view in a agile way the records of vectorial geographical information layers.]]></description>
        <about><![CDATA[Its main characteristic is that allows to see the element&#x27;s attributes one by one and in vertical direction.
Some of its features are: edit alphanumeric values and navigate among the elements of an information layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fpsampayo/qgis-navtable]]></homepage>
        <file_name>NavTable.0.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_pN7uRcr.png</icon>
        <author_name><![CDATA[Francisco Puga, Francisco P. Sampayo, Pablo Sanxiao]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NavTable/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[fpsampayo]]></uploaded_by>
        <create_date>2019-02-18T16:20:50.238449+00:00</create_date>
        <update_date>2026-03-06T09:21:57.214969+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fpsampayo/qgis-navtable/issues]]></tracker>
        <repository><![CDATA[https://github.com/fpsampayo/qgis-navtable]]></repository>
        <tags><![CDATA[vector,filter,table,forms]]></tags>
        <downloads>5479</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ibama Expressions" version="0.4" plugin_id="1651">
        <description><![CDATA[Plugin add new functions in expression]]></description>
        <about><![CDATA[This plugin add the functions in expression:
getDateLandsat, getDateRapideye, getDateSentinel, getDatePlanetScope
getUTMZone and area_crs]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/ibama_expressions/wiki]]></homepage>
        <file_name>ibama_expressions.0.4.zip</file_name>
        <icon>/media/packages/2020/ibama_expressions_gmHEBGs.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ibama_expressions/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2019-02-19T18:04:03.907155+00:00</create_date>
        <update_date>2020-03-23T17:01:57.165360+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/ibama_expressions/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/ibama_expressions]]></repository>
        <tags><![CDATA[expressions,ibama]]></tags>
        <downloads>8065</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Oracle Georaster Plugin" version="1.0" plugin_id="1654">
        <description><![CDATA[Access Oracle Georaster using GDAL]]></description>
        <about><![CDATA[The plugin allows users to browse and query georaster objects from an existing
Oracle connection and, based on the georaster object selected, builds the GDAL
identification string (i.g., &quot;georaster:usr/pwd@host/port/db,rdt,rid&quot;) that
allows QGIS to access georaster objects (images) directly.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.be-spatial.com]]></homepage>
        <file_name>oscars-georaster-qgis-plugin.1.0.zip</file_name>
        <icon>/media/packages/2022/oscars_georaster_plugin.svg</icon>
        <author_name><![CDATA[Oscars S.A.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/oscars-georaster-qgis-plugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[oduboisoscars]]></uploaded_by>
        <create_date>2019-02-24T13:56:31.897962+00:00</create_date>
        <update_date>2022-06-16T07:13:00.452180+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://bitbucket.org/Oscars-SA/oscars-georaster-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/Oscars-SA/oscars-georaster-qgis-plugin/]]></repository>
        <tags><![CDATA[python,oracle,sdo_georaster]]></tags>
        <downloads>50400</downloads>
        <average_vote>4.249734391600525</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Map Library" version="1.3" plugin_id="1656">
        <description><![CDATA[A map library which makes it easy to add much used maps to your project.]]></description>
        <about><![CDATA[This plug-in is meant for organizations or organizational units (that can be you !) as a means to provide one or more libraries of (often used) maps (layers) to the end user.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MarcoDuiker/QGIS_Map_library/]]></homepage>
        <file_name>maplibrary.1.3.zip</file_name>
        <icon>/media/packages/2023/icon_Id6b8Kj.png</icon>
        <author_name><![CDATA[Marco Duiker - MD-kwadraat]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/maplibrary/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[marcoduiker]]></uploaded_by>
        <create_date>2019-02-26T11:54:16.215563+00:00</create_date>
        <update_date>2023-07-07T10:17:16.369750+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MarcoDuiker/QGIS_Map_library/issues/]]></tracker>
        <repository><![CDATA[https://github.com/MarcoDuiker/QGIS_Map_library/]]></repository>
        <tags><![CDATA[wfs,wms,layers,library,ogr,maps]]></tags>
        <downloads>133872</downloads>
        <average_vote>3.885182210127703</average_vote>
        <rating_votes>61</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ORS Tools" version="2.1.0" plugin_id="1659">
        <description><![CDATA[openrouteservice routing, isochrones and matrix calculations for QGIS]]></description>
        <about><![CDATA[ORS Tools provides access to most of the functions of openrouteservice.org, based on OpenStreetMap. The tool set includes routing, isochrones and matrix calculations, either interactive in the map canvas or from point files within the processing framework. Extensive attributes are set for output files, incl. duration, length and start/end locations.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.8</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GIScience/orstools-qgis-plugin/wiki/]]></homepage>
        <file_name>ORStools.2.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_orstools_ETpBuWb.png</icon>
        <author_name><![CDATA[HeiGIT gGmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ORStools/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[heigit]]></uploaded_by>
        <create_date>2019-02-27T15:57:17.820196+00:00</create_date>
        <update_date>2025-12-09T14:23:46.576811+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GIScience/orstools-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GIScience/orstools-qgis-plugin.git]]></repository>
        <tags><![CDATA[routing,openstreetmap,osm,processing,accessibility,route,openrouteservice,service area,isochrones,matrix,ors]]></tags>
        <downloads>377979</downloads>
        <average_vote>4.37023933468565</average_vote>
        <rating_votes>316</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Pelias Geocoding" version="0.1" plugin_id="1660">
        <description><![CDATA[Pelias forward and reverse geocoding toolbox for QGIS.]]></description>
        <about><![CDATA[Pelias Geocoding plugin give access to geocoding endpoints of remote Pelias providers for free text, structured and reverse geocoding. It features an extensive toolset: geocoding from map canvas or batch jobs from layers with processing algorithms. Sign up for a API key at https://openrouteservice.org/sign-up or ask for an invite to trial https://geocode.earth.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pelias/documentation]]></homepage>
        <file_name>PeliasGeocoding.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_plugin.png</icon>
        <author_name><![CDATA[GIS • OPS UG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PeliasGeocoding/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[nilsnolde]]></uploaded_by>
        <create_date>2019-02-27T15:58:01.367547+00:00</create_date>
        <update_date>2019-02-27T15:58:01.557186+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nilsnolde/pelias-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/nilsnolde/pelias-qgis-plugin.git]]></repository>
        <tags><![CDATA[geocoding,openstreetmap,osm,processing,geocode,reverse geocoding,openaddresses,geonames,pelias,whosonfirst]]></tags>
        <downloads>13872</downloads>
        <average_vote>4.7497031435535275</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGribDownloader" version="0.5" plugin_id="1663">
        <description><![CDATA[download gribs from opengribs.org]]></description>
        <about><![CDATA[A plugin to automatically download meteo GRIB files, thanks to http://opengribs.org/.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/faunalia/gribdownloader]]></homepage>
        <file_name>gribdownloader.0.5.zip</file_name>
        <icon>/media/packages/2021/icon_kYZy7Cc.png</icon>
        <author_name><![CDATA[enrico ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gribdownloader/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[pcav]]></uploaded_by>
        <create_date>2019-03-01T15:13:17.279567+00:00</create_date>
        <update_date>2021-05-04T16:19:50.414518+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/faunalia/gribdownloader/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/faunalia/gribdownloader/]]></repository>
        <tags><![CDATA[python,mesh,grib,meteo]]></tags>
        <downloads>10618</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Add a point road sign" version="1.0.1" plugin_id="1664">
        <description><![CDATA[Plugin that adds a point road sign to a traffic management design.]]></description>
        <about><![CDATA[Please read the manual to catch details (press [manual] button of the plugin or visit its repository).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/piotrm35/Add_a_point_road_sign]]></homepage>
        <file_name>Add_a_point_road_sign.1.0.1.zip</file_name>
        <icon>/media/packages/2020/Add_a_point_road_sign_ICON.png</icon>
        <author_name><![CDATA[Piotr Michałowski, Olsztyn, woj. W-M, Poland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Add_a_point_road_sign/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[piotrm35]]></uploaded_by>
        <create_date>2019-03-02T14:11:36.454390+00:00</create_date>
        <update_date>2020-02-27T09:46:46.178557+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/piotrm35/Add_a_point_road_sign/issues]]></tracker>
        <repository><![CDATA[https://github.com/piotrm35/Add_a_point_road_sign]]></repository>
        <tags><![CDATA[project,point,road,traffic,design,sign]]></tags>
        <downloads>43108</downloads>
        <average_vote>3.890838348393666</average_vote>
        <rating_votes>55</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Climb" version="1.1" plugin_id="1665">
        <description><![CDATA[Calculate climb and descent for a line dataset.]]></description>
        <about><![CDATA[Processing algorithm that returns an output line layer containing the total climb and descent as well as the minimum and maximum elevation for each polyline of the input line dataset based on the Z values of the points making up the lines.  The Z values for the points can be taken from a user specified DEM (requires QGIS &gt;= 3.4.5).  The grand total climb and descent, as well as the global minimum and maximum elevation for all the lines in the input dataset are provided as output parameters.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/havatv/qgisclimbplugin]]></homepage>
        <file_name>Climb.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Håvard Tveite, NMBU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Climb/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[havatv]]></uploaded_by>
        <create_date>2019-03-04T15:00:10.132790+00:00</create_date>
        <update_date>2019-05-07T16:49:46.910675+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/havatv/qgisclimbplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/havatv/qgisclimbplugin]]></repository>
        <tags><![CDATA[vector,line,polyline,dem,dtm,climb,descent]]></tags>
        <downloads>10382</downloads>
        <average_vote>4.249645862844763</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Processing Saga NextGen Provider" version="1.1.0" plugin_id="1666">
        <description><![CDATA[A Processing provider for modern SAGA releases]]></description>
        <about><![CDATA[&lt;p&gt;Processing provider for SAGA 9.2 and above. Requires manual installation of SAGA binaries.&lt;/p&gt;
&lt;p&gt;Since QGIS 3.30 SAGA tools are no included in the standard QGIS installation. In order to use SAGA
tools in QGIS you need to install this plugin first, and then manually install SAGA 9.2.0 (or later).&lt;/p&gt;
&lt;p&gt;To install SAGA visit: &lt;a href=&quot;https://sourceforge.net/projects/saga-gis/files/&quot;&gt;https://sourceforge.net/projects/saga-gis/files/&lt;/a&gt;.
This plugin is tested on SAGA 9.2 only. It may work for more recent releases.&lt;/p&gt;
&lt;p&gt;After downloading SAGA, unzip the folder. Then in QGIS go to
Settings -&gt; Options -&gt; Processing -&gt; Providers -&gt; SAGANG and point the SAGA folder to your unzipped folder
containing the SAGA binaries.&lt;/p&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/north-road/qgis-processing-saga-nextgen]]></homepage>
        <file_name>processing_saga_nextgen.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_kcwW7XE.png</icon>
        <author_name><![CDATA[North Road]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_saga_nextgen/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2019-03-05T01:37:28.402179+00:00</create_date>
        <update_date>2025-07-14T02:03:27.751106+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/north-road/qgis-processing-saga-nextgen/issues]]></tracker>
        <repository><![CDATA[https://github.com/north-road/qgis-processing-saga-nextgen]]></repository>
        <tags><![CDATA[python,processing,saga]]></tags>
        <downloads>640031</downloads>
        <average_vote>4.149684954189886</average_vote>
        <rating_votes>648</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Open ICGC" version="1.1.29" plugin_id="1667">
        <description><![CDATA[ICGC Open data access]]></description>
        <about><![CDATA[Plugin for accessing open data published by the Cartographic and Geological Institute of Catalonia (Catalan mapping agency).
Includes spatial toponymic searches, streets, roads, coordinates in different reference systems, acces to historical photo library and load of base data layers and download different vectorial and raster products.
This plugin uses suds-py3, wsse, qtrangeslider libraries and land registry geo services.
---
Plugin per accedir a dades obertes de l&#x27;Institut Cartogràfic i Geològic de Catalunya.
Inclou cerques espacials de topònims, carrers, carreteres, coordenades en diferents sistemes de referència, càrrega de dades de capes base, accés a la fototeca històrica i descàrrega de diferents productes vectorials i ràster.
Aquest plugin utilitza les llibreries suds-py3, wsse, qtrangeslider i serveis web del cadastre.
---
Plugin para acceder a datos abiertos del Instituto Cartográfico y Geológico de Cataluña.
Incluye búsquedas espaciales de topónimos, calles, carreteras, coordenadas en diferentes sistemas de referencia, carga datos de capas base, acceso a la fototeca histórica y descarga de diferentes productos vectoriales y raster.
Este plugin utiliza las llibrerías suds-py3, wsse, qtrangeslider y servicios web del catastro.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OpenICGC/QgisPlugin/blob/master/README.md]]></homepage>
        <file_name>OpenICGC.1.1.29.zip</file_name>
        <icon>/media/packages/2026/icon_Sew4g68.png</icon>
        <author_name><![CDATA[ICGC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OpenICGC/version/1.1.29/download/</download_url>
        <uploaded_by><![CDATA[aadell]]></uploaded_by>
        <create_date>2019-03-06T13:57:37.329452+00:00</create_date>
        <update_date>2026-02-06T11:02:14.848368+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenICGC/QgisPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenICGC/QgisPlugin]]></repository>
        <tags><![CDATA[search,find,road,photo,wfs,wms,topography,street,cataluña,icgc,catalunya,site,place,catalonia,orthophoto,ortofoto,topografia,foto,fototeca,photolibrary]]></tags>
        <downloads>102503</downloads>
        <average_vote>4.345186366828966</average_vote>
        <rating_votes>84</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Toggle Group Visibility" version="0.3" plugin_id="1668">
        <description><![CDATA[Plugin for change the visibility of each item in a group by automatically or manually.]]></description>
        <about><![CDATA[This plugin change the visible item(group or layer) of a group(mutually exclusive),
that can be done manually or automatically, by buttons or shortcuts of keyboard.
With the plugin can copy a item from group to another group and set the current visible item in layer painel.
This plugin is developed on the demand of IBAMA(Brazilian Institute of Environment and Renewable Natural Resources)http://www.ibama.gov.br]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/togglegroupvisibility/wiki]]></homepage>
        <file_name>togglegroupvisibility.0.3.zip</file_name>
        <icon>/media/packages/2020/togglegroupvisibility_tEumZAM.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/togglegroupvisibility/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2019-03-06T21:00:26.074375+00:00</create_date>
        <update_date>2020-02-18T20:50:58.070842+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/togglegroupvisibility/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/togglegroupvisibility]]></repository>
        <tags><![CDATA[toggle,visibility,group,ibama]]></tags>
        <downloads>6593</downloads>
        <average_vote>3.999200159968006</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EnMAP-Box 3" version="3.17.6" plugin_id="1669">
        <description><![CDATA[Imaging Spectroscopy and Remote Sensing for QGIS]]></description>
        <about><![CDATA[The EnMAP-Box is a QGIS plug-in to visualize and process remote sensing data. It has been
particularly developed to handle data and products from imaging spectrometers, like EnMAP, PRISMA,
EMIT, DESIS, Tanager, and multispectral instruments like Landsat and Sentinel-2.

Publication:
Jakimow, Janz, Thiel, Okujeni, Hostert, van der Linden, 2023: EnMAP-Box: Imaging spectroscopy in QGIS.
SoftwareX 23, 101507, https://doi.org/https://doi.org/10.1016/j.softx.2023.101507

Links:
- Documentation: https://enmap-box.readthedocs.io
- Code: https://github.com/EnMAP-Box/enmap-box
- Environmental Mapping and Analysis Program (EnMAP): https://www.enmap.org
- License: GNU GPL-3 https://www.gnu.org/licenses/gpl-3.0

Acknowledgements:

The EnMAP-Box is developed at Humboldt-UniversitÃ¤t zu Berlin under contract by the GFZ Helmholtz Centre
for Geosciences and is part of the EnMAP Core Science Team activities.
It is funded by the German Aerospace Centre (DLR) - Project Management Agency,
granted by the Federal Ministry of Research, Technology and Space (https://www.bmbf.de, BMFTR; grant no. 50EE2401A).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://enmap-box.readthedocs.io/]]></homepage>
        <file_name>enmapboxplugin.3.17.6.zip</file_name>
        <icon>/media/packages/2026/icon_oznYW62.png</icon>
        <author_name><![CDATA[Andreas Janz, Benjamin Jakimow, Sebastian van der Linden, Fabian Thiel, Henrike Dierkes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/enmapboxplugin/version/3.17.6/download/</download_url>
        <uploaded_by><![CDATA[jakimowb]]></uploaded_by>
        <create_date>2019-03-07T11:24:07.383848+00:00</create_date>
        <update_date>2026-03-19T20:20:53.977947+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EnMAP-Box/enmap-box/issues]]></tracker>
        <repository><![CDATA[https://github.com/EnMAP-Box/enmap-box.git]]></repository>
        <tags><![CDATA[raster,analysis,landsat,land cover,landscape,classification,remote sensing,regression,mask,multispectral,clustering,accuracy,clip,spectral signature,supervised classification,sentinel,spectral,machine learning,google earth engine,imaging spectroscopy,hyperspectral,enmap,desis,prisma,unmixing,emit]]></tags>
        <downloads>118099</downloads>
        <average_vote>4.701457451810061</average_vote>
        <rating_votes>134</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HERE Maps for QGIS" version="1.9.10" plugin_id="1670">
        <description><![CDATA[Connect QGIS to Interactive Map Layers in the HERE Platform (https://platform.here.com) and your personal spaces in HERE Data Hub.]]></description>
        <about><![CDATA[HERE Maps for QGIS is a QGIS plugin which can be used to visualize, edit and analyze data from Interactive Map Layer inside the HERE Platform (https://platform.here.com) and from HERE Data Hub spaces directly on a map.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/heremaps/xyz-qgis-plugin]]></homepage>
        <file_name>XYZHubConnector.1.9.10.zip</file_name>
        <icon>/media/packages/2025/xyz.png</icon>
        <author_name><![CDATA[HERE Europe B.V.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/XYZHubConnector/version/1.9.10/download/</download_url>
        <uploaded_by><![CDATA[johere]]></uploaded_by>
        <create_date>2019-03-07T18:04:15.969659+00:00</create_date>
        <update_date>2025-07-17T13:40:32.950898+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/heremaps/xyz-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/heremaps/xyz-qgis-plugin]]></repository>
        <tags><![CDATA[vector,layer,cloud,tile,connector,download,gis,qgis,basemap,here,api,upload,platform,xyz,storage,here platform,iml,data hub,interactive map layer]]></tags>
        <downloads>80015</downloads>
        <average_vote>4.209204437106114</average_vote>
        <rating_votes>43</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RasterTimeseriesManager" version="1.8" plugin_id="1675">
        <description><![CDATA[Explore and visualizing spatio-spectral-temporal Earth Observation imagery data.]]></description>
        <about><![CDATA[The Raster Timeseries Manager plugin adds a dock panel with time controls that allow to smoothly navigate through earth observation imagery data like Landsat, Sentinel and Modis and derived products in the temporal domain. Layer styling and spatial navigation is handled by QGIS as usual. See the project homepage for a detailed overview and usage instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://raster-timeseries-manager.readthedocs.io]]></homepage>
        <file_name>rastertimeseriesmanager.1.8.zip</file_name>
        <icon>/media/packages/2021/icon_B4D5K4V.png</icon>
        <author_name><![CDATA[Andreas Rabe (Geomatics Lab, Humboldt-Universität zu Berlin, Germany)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rastertimeseriesmanager/version/1.8/download/</download_url>
        <uploaded_by><![CDATA[janzandr]]></uploaded_by>
        <create_date>2019-03-12T15:47:37.658576+00:00</create_date>
        <update_date>2021-12-21T13:34:48.208447+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/janzandr/rastertimeseriesmanager/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/janzandr/rastertimeseriesmanager]]></repository>
        <tags><![CDATA[raster,time,animation,video,spectral,imagery,temporal,earth observation,spatio]]></tags>
        <downloads>32784</downloads>
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        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FragScape" version="2.0.7" plugin_id="1677">
        <description><![CDATA[Plugin to compute landscape fragmentation metrics (effective mesh size)]]></description>
        <about><![CDATA[NEW: raster mode&lt;/br&gt;&lt;/br&gt;FragScape is a QGIS 3 plugin to compute landscape fragmentation metrics defined in paper &quot;Landscape division, splitting index, and effective mesh size: new measures of landscape fragmentation&quot; (Jaeger 2000). Among these metrics, effective mesh size has been widely used to quantify landscape fragmentation. FragScape defines a 4 steps process from raw data to computed metrics and allow user to save configuration so that results can be reproduced with same context. It has been developped by Mathieu Chailloux at INRAE, for the French ecological network resource center (driven by French ministry of ecology).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MathieuChailloux/FragScape/blob/master/README.md]]></homepage>
        <file_name>FragScape.2.0.7.zip</file_name>
        <icon>/media/packages/2025/vector_grid.svg</icon>
        <author_name><![CDATA[Mathieu Chailloux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FragScape/version/2.0.7/download/</download_url>
        <uploaded_by><![CDATA[mc]]></uploaded_by>
        <create_date>2019-03-20T15:22:11.810739+00:00</create_date>
        <update_date>2025-10-10T15:24:09.542449+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MathieuChailloux/FragScape/issues]]></tracker>
        <repository><![CDATA[https://github.com/MathieuChailloux/FragScape]]></repository>
        <tags><![CDATA[vector,ecology,python,landscape,metrics,division,fragmentation,effective mesh size]]></tags>
        <downloads>17708</downloads>
        <average_vote>4.764425622022234</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoBarcelona" version="2.0" plugin_id="1678">
        <description><![CDATA[Search and zoom to any address in Barcelona city]]></description>
        <about><![CDATA[&lt;div&gt;GeoBarcelona allows to search and zoom to any address in Barcelona city, using the RESTful web service &quot;GeoBcn&quot; (https://w33.bcn.cat/GeoBcn) provided by the Barcelona City Council. Two ways of use:
&lt;ul style=&quot;margin:0;&quot;&gt;&lt;li style=&quot;margin-bottom:-1em;&quot;&gt;Reduced version within the QGIS Locator bar, allowing a quick address search.&lt;/li&gt;
&lt;li&gt;Full version in a docked panel. Allows to search any address by name or by distance from a point clicked at map canvas. The results are displayed with different viewing and downloading options. More features coming.&lt;/li&gt;&lt;/ul&gt;
GeoBarcelona permet cercar i fer zoom a qualsevol adreça de la ciutat de Barcelona, utilitzant el servei web RESTful &quot;GeoBcn&quot; (https://w33.bcn.cat/GeoBcn) proporcionat per l&#x27;Ajuntament de Barcelona. Dues formes d&#x27;utilitzar-lo:
&lt;ul style=&quot;margin:0;&quot;&gt;&lt;li style=&quot;margin-bottom:-1em;&quot;&gt;Versió reduida dins la barra de cerca de QGIS, permetent fer una cerca ràpida d&#x27;adreça.&lt;/li&gt;
&lt;li&gt;Versió completa en panell integrat. Permet cercar qualsevol adreça per nom o per distància a un punt clicat al mapa. Els resultats es mostren amb diferents opcions de visualització i descàrrega. Està previst afegir-hi més funcionalitats.&lt;/li&gt;&lt;/ul&gt;
GeoBarcelona permite buscar y hacer zoom a cualquier dirección de la ciudad de Barcelona, utilizando el servicio web RESTful &quot;GeoBcn&quot; (https://w33.bcn.cat/GeoBcn) proporcionado por el Ayuntamiento de Barcelona. Dos formas de uso:
&lt;ul style=&quot;margin:0;&quot;&gt;&lt;li style=&quot;margin-bottom:-1em;&quot;&gt;Versión reducida dentro de la barra de búsqueda de QGIS, permitiendo una búsqueda rápida de dirección.&lt;/li&gt;
&lt;li&gt;Versión completa en panel integrado. Permite buscar cualquier dirección por nombre o por distancia a un punto clicado en el mapa. Los resultados se muestran con diferentes opciones de visualización y descarga. Está previsto añadir más funcionalidades.&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/javicasnov/GeoBarcelona]]></homepage>
        <file_name>geobarcelona.2.0.zip</file_name>
        <icon>/media/packages/2022/icon_geobarcelona_full.png</icon>
        <author_name><![CDATA[Javier Casado]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geobarcelona/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[javicasnov]]></uploaded_by>
        <create_date>2019-03-21T14:03:50.001649+00:00</create_date>
        <update_date>2022-06-17T14:36:58.238794+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/javicasnov/GeoBarcelona/issues]]></tracker>
        <repository><![CDATA[https://github.com/javicasnov/GeoBarcelona]]></repository>
        <tags><![CDATA[geocoding,filter,search,address,spain,zoom,webservice,location,street,api,reverse,geocoder,españa,locator,rest,catalunya,cercador,adreça,buscador,barcelona,direccion,calle,carrer,restful,inversa]]></tags>
        <downloads>6996</downloads>
        <average_vote>4.666547011615087</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TravelTime Plugin" version="1.10.0" plugin_id="1685">
        <description><![CDATA[Get travel time polygons from the TravelTime API directly from QGIS]]></description>
        <about><![CDATA[This plugin adds a toolbar and processing algorithms allowing to query the TravelTime platform API directly from QGIS. The TravelTime platform API allows to obtain polygons based on actual travel time using several transport modes rather, allowing for much more accurate results than simple distance calculations.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.traveltime.com/qgis/]]></homepage>
        <file_name>travel_time_platform_plugin.1.10.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Olivier Dalang]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/travel_time_platform_plugin/version/1.10.0/download/</download_url>
        <uploaded_by><![CDATA[redl]]></uploaded_by>
        <create_date>2019-04-01T10:03:57.269724+00:00</create_date>
        <update_date>2025-10-29T20:49:07.230174+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/traveltime-dev/traveltime-platform-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/traveltime-dev/traveltime-platform-qgis-plugin]]></repository>
        <tags><![CDATA[geocoding,time,distance,network analysis,routing,polygon,geocode,polygons,isochrone,api,shortest path,geocoder,isochrones,matrix,platform,travel]]></tags>
        <downloads>100289</downloads>
        <average_vote>4.113589618299792</average_vote>
        <rating_votes>88</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RasterDataPlotting" version="1.6.3" plugin_id="1686">
        <description><![CDATA[Create plots visualizing raster data for all pixels currently visible inside the map canvas.]]></description>
        <about><![CDATA[The Raster Data Plotting plugin adds a panel for creating i) spectral/temporal pixel profile plots and ii) 2-d scatter/density plots visualizing all visible pixel for two selected raster bands. The scatter plot data is adapting in real-time, whenever the map canvas extent changes. See the project homepage for a detailed overview and usage instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://raster-data-plotting.readthedocs.io]]></homepage>
        <file_name>rasterdataplotting.1.6.3.zip</file_name>
        <icon>/media/packages/2020/icon_iZd3DHV.png</icon>
        <author_name><![CDATA[Andreas Rabe]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rasterdataplotting/version/1.6.3/download/</download_url>
        <uploaded_by><![CDATA[janzandr]]></uploaded_by>
        <create_date>2019-04-01T15:17:08.504073+00:00</create_date>
        <update_date>2020-04-02T07:39:58.282015+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://bitbucket.org/janzandr/rasterdataplotting/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/janzandr/rasterdataplotting]]></repository>
        <tags><![CDATA[raster,distribution,scatter plot,density,2d,data,plot,temporal profile plot,spectral profile plot]]></tags>
        <downloads>35376</downloads>
        <average_vote>4.444197544580856</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QLockLayers" version="0.1" plugin_id="1688">
        <description><![CDATA[This tool can be used to lock selected layers on the project.]]></description>
        <about><![CDATA[This tool can be used to lock/unlock selected layers on the project. Using button or shortcut `Ctrl-R` to lock selected layers and using `Ctrl-U` to unlock selected layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mariosmsk.com/2019/04/07/qlocklayers/]]></homepage>
        <file_name>QLocklayers.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Marios S. Kyriakou, KIOS Research and Innovation Center of Excellence (KIOS CoE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QLocklayers/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
        <create_date>2019-04-07T16:02:46.135569+00:00</create_date>
        <update_date>2019-04-07T16:02:47.261107+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mariosmsk/QLocklayers/issues/]]></tracker>
        <repository><![CDATA[https://github.com/Mariosmsk/QLocklayers/]]></repository>
        <tags><![CDATA[python,lock layers,removable]]></tags>
        <downloads>4817</downloads>
        <average_vote>4.2995700429957004</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Coord List" version="0.32" plugin_id="1691">
        <description><![CDATA[CoordList]]></description>
        <about><![CDATA[CoordList creates a points on the vertices of the selected object and forms a list of coordinates]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/inouterer/coord_list/]]></homepage>
        <file_name>coord_list.0.32.zip</file_name>
        <icon>/media/packages/2024/icon_rk08wzK.png</icon>
        <author_name><![CDATA[Ian Lebedev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coord_list/version/0.32/download/</download_url>
        <uploaded_by><![CDATA[inouterer]]></uploaded_by>
        <create_date>2019-04-09T07:05:14.708672+00:00</create_date>
        <update_date>2024-02-08T10:28:23.510638+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/inouterer/coord_list/issues]]></tracker>
        <repository><![CDATA[https://github.com/inouterer/coord_list/]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>27188</downloads>
        <average_vote>4.428255124633955</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Trackable QGIS Project" version="v1.2.2" plugin_id="1694">
        <description><![CDATA[Make QGIS Project files better trackable in git]]></description>
        <about><![CDATA[Orders attributes in .qgs project files in a predictable order. This helps tracking QGIS project files in versioning systems like git.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis_trackable_project_files]]></homepage>
        <file_name>trackable_project_files.v1.2.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Matthias Kuhn]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/trackable_project_files/version/v1.2.2/download/</download_url>
        <uploaded_by><![CDATA[mkuhn]]></uploaded_by>
        <create_date>2019-04-09T13:51:12.045419+00:00</create_date>
        <update_date>2021-06-01T07:08:44.840370+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis_trackable_project_files/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis_trackable_project_files]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>4963</downloads>
        <average_vote>4.181438051086265</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FUSION for Processing" version="4.0" plugin_id="1696">
        <description><![CDATA[Suite of tools for LiDAR analysis and visualisation]]></description>
        <about><![CDATA[FUSION provides extensive processing capabilities including bare-earth point filtering, surface fitting, data conversion, and quality assessment for large LIDAR acquisitions. You need to download and install the FUSION software available from: http://forsys.sefs.uw.edu/FUSION/fusionlatest.html. After installing the plugin and FUSION, activate and configure FUSION for processing in the Options-window in the Processing Toolbox. This plugin is only availabe for Windows users.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/biglimp/qgis-fusion]]></homepage>
        <file_name>processing_fusion.4.0.zip</file_name>
        <icon>/media/packages/2026/fusion.svg</icon>
        <author_name><![CDATA[Alexander Bruy, Victor Olaya, Niccolo Marchi, Fredrik Lindberg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_fusion/version/4.0/download/</download_url>
        <uploaded_by><![CDATA[biglimp]]></uploaded_by>
        <create_date>2019-04-12T07:43:47.883777+00:00</create_date>
        <update_date>2026-04-15T09:24:07.946101+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/biglimp/qgis-fusion/issues]]></tracker>
        <repository><![CDATA[https://github.com/biglimp/qgis-fusion]]></repository>
        <tags><![CDATA[analysis,points,dem,dtm,processing,lidar,dsm,laz,las,pointcloud,forrest]]></tags>
        <downloads>51805</downloads>
        <average_vote>3.422146174529455</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Profile Export" version="0.5.1" plugin_id="1699">
        <description><![CDATA[A plugin to export raster profiles to xml files]]></description>
        <about><![CDATA[A plugin to export raster profiles to xml files. These xml files can then be used in the SeilkranPROjekt software]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/profileexport/]]></homepage>
        <file_name>profileexport.0.5.1.zip</file_name>
        <icon>/media/packages/2020/seilkran.jpg</icon>
        <author_name><![CDATA[Sourcepole]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/profileexport/version/0.5.1/download/</download_url>
        <uploaded_by><![CDATA[mhugent]]></uploaded_by>
        <create_date>2019-04-15T07:47:53.013417+00:00</create_date>
        <update_date>2020-01-21T15:43:04.775654+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sourcepole/qgis-profileexport-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/sourcepole/qgis-profileexport-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>14212</downloads>
        <average_vote>3.499416763872688</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mergin Maps" version="2026.2.1" plugin_id="1703">
        <description><![CDATA[Handle Mergin Maps projects]]></description>
        <about><![CDATA[Mergin Maps is a repository for storing and tracking changes to QGIS projects/data and has its mobile app for field geo-surveys. With this plugin, users can upload and sync their data to Mergin Maps service.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://merginmaps.com/]]></homepage>
        <file_name>Mergin.2026.2.1.zip</file_name>
        <icon>/media/packages/2026/MM_symbol_COLOR_TRANSPARENT_YQcJ1yJ.png</icon>
        <author_name><![CDATA[Lutra Consulting]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Mergin/version/2026.2.1/download/</download_url>
        <uploaded_by><![CDATA[marcelgeo]]></uploaded_by>
        <create_date>2019-04-18T14:17:19.422429+00:00</create_date>
        <update_date>2026-02-27T08:54:42.852386+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MerginMaps/qgis-mergin-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MerginMaps/qgis-mergin-plugin]]></repository>
        <tags><![CDATA[cloud,mobile,field,gps,versioning,synchronization,data,backup,android,offline,gnss,merginmaps,fieldwork,sensors,tablet,simple,ios,collaborative,smartphone]]></tags>
        <downloads>214338</downloads>
        <average_vote>4.157872853300772</average_vote>
        <rating_votes>190</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Visualist" version="0.8.1" plugin_id="1705">
        <description><![CDATA[Plugin for Crime Analysts]]></description>
        <about><![CDATA[The goal of Visualist is to provide a one-stop resource for many common Crime Analysts GIS tasks, without the need for additional software, libraries, or complex workarounds. If you use Visualist in a scientific publication, we would appreciate citations to the following refence: Rossy, Q. (2019) Visualist: a spatial analysis plugin for crime analysts. Ecole des sciences criminelles, Lausanne. https://plugins.qgis.org/plugins/visualist/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://analysecriminelle.org]]></homepage>
        <file_name>visualist.0.8.1.zip</file_name>
        <icon>/media/packages/2024/icon_LfxU9RX.png</icon>
        <author_name><![CDATA[Quentin Rossy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/visualist/version/0.8.1/download/</download_url>
        <uploaded_by><![CDATA[qrossy]]></uploaded_by>
        <create_date>2019-04-22T20:11:21.646944+00:00</create_date>
        <update_date>2024-06-10T13:35:24.291791+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/esc-unil/Visualist/issues]]></tracker>
        <repository><![CDATA[https://github.com/esc-unil/Visualist/]]></repository>
        <tags><![CDATA[graduated lines map,proportional symbols map,k-nearest neighours analysis,choropleth map,lisa analysis,spatial autocorrelation map,graduated segmented lines map,grid map,nearest neighbours clusters map,flow map,edge map]]></tags>
        <downloads>39680</downloads>
        <average_vote>4.042799388580163</average_vote>
        <rating_votes>70</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geoprivacy" version="1.0.3" plugin_id="1709">
        <description><![CDATA[A set of location privacy tools for geographic data.]]></description>
        <about><![CDATA[Protect your datasets before publishing or putting them on maps with a suite of Location Privacy Protection Mechanisms. In GeoPriv you can choose between three location privacy methods that can be found in scientific articles and that we have implemented to be easily used by technical and non-technical users, providing location privacy for everyone!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://diuke.github.io/GeoPrivPlugin/]]></homepage>
        <file_name>GeoPriv.1.0.3.zip</file_name>
        <icon>/media/packages/2019/icon_Rnd4WqE.png</icon>
        <author_name><![CDATA[Juan Duque, Angelly Pugliese]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoPriv/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[diuke]]></uploaded_by>
        <create_date>2019-04-30T20:48:34.275262+00:00</create_date>
        <update_date>2019-05-20T17:51:07.869324+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Diuke/GeoPriv/issues]]></tracker>
        <repository><![CDATA[https://github.com/Diuke/GeoPriv]]></repository>
        <tags><![CDATA[python,privacy protection,location privacy,geoprivacy]]></tags>
        <downloads>4814</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[Links an Excel (.xls) file to a Shapefile (or any other layer). For every row on the layer a row in the Excel file is created. Derived information like area or centroid can be added to the Excel row.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis_excel_sync]]></homepage>
        <file_name>excel_sync.3.6.zip</file_name>
        <icon>/media/packages/2019/ExcelSync_LmJLkTr.svg</icon>
        <author_name><![CDATA[OPENGIS.ch, carolinux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/excel_sync/version/3.6/download/</download_url>
        <uploaded_by><![CDATA[mkuhn]]></uploaded_by>
        <create_date>2019-05-05T09:12:31.194087+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis_excel_sync/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis_excel_sync]]></repository>
        <tags><![CDATA[excel,shape,attribute assistant]]></tags>
        <downloads>51219</downloads>
        <average_vote>3.381984472084583</average_vote>
        <rating_votes>89</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CE-QUAL-W2_Bathymetry" version="1.0" plugin_id="1713">
        <description><![CDATA[Helps to create CE-QUAL-W2 Bathymetric file]]></description>
        <about><![CDATA[Given a DEM layer, a line vector layer (each line represents a different segment in the module) and a polygon layer (each polygon represents a different segment in the module) you enter the different parameters and it creates the bathymetric file for you.   Limitations: On large data sets the processing time is long, leaving the QGIS program unresponsive. You can either wait for the processing to finish or divide the data to smaller parts (less segments in each run).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/WQDSS/qgis-cequalw2-bath/wiki]]></homepage>
        <file_name>create_bathymetry.1.0.zip</file_name>
        <icon>/media/packages/2019/icon_UGiA6S1.png</icon>
        <author_name><![CDATA[Yoav Bornstein]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/create_bathymetry/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[yoavb]]></uploaded_by>
        <create_date>2019-05-05T17:07:21.019344+00:00</create_date>
        <update_date>2019-05-05T17:07:21.644599+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WQDSS/qgis-cequalw2-bath/issues]]></tracker>
        <repository><![CDATA[https://github.com/WQDSS/qgis-cequalw2-bath]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>5289</downloads>
        <average_vote>4.444197544580856</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SSAM" version="2.0.0" plugin_id="1714">
        <description><![CDATA[Spatial Sustainability Assessment Model (SSAM)]]></description>
        <about><![CDATA[SSAM is a QGIS plugin for sustainability assessment in geographic environment. The outputs of SSAM are both geographic and graphic. More data and documents are available on http://maplab.alwaysdata.net/SSAM.html]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://maplab.alwaysdata.net/SSAM.html]]></homepage>
        <file_name>SSAM.2.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_qrdFvdY.png</icon>
        <author_name><![CDATA[ARPA Umbria - University of Perugia (Developer: Gianluca Massei)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SSAM/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[gianluca]]></uploaded_by>
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        <experimental>False</experimental>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CLE Tools" version="0.5" plugin_id="1715">
        <description><![CDATA[Plugin for Italian Emergency Limit Condition analysis.]]></description>
        <about><![CDATA[The plugin allows the creation of the database and the cartographic representation of the Emergency Limit Condition analysis according to the standards of representation and computer archiving version 3.1 (Technical Commission for seismic microzonation - art. 5, paragraph 7, OPCM 13 nov. 2010, n. 3907).
&lt;b&gt;NOTE:&lt;/b&gt; as described in the GPLv3 license, the software provider does not provide any warranty for the program.

Il plugin consente la creazione della banca dati e la rappresentazione cartografica delle analisi della Condizione Limite per l&#x27;Emergenza secondo gli Standard di rappresentazione ed archiviazione informatica versione 3.1 (Commissione tecnica per la microzonazione sismica - art. 5, comma 7 dell’OPCM 13 nov. 2010, n. 3907).
&lt;b&gt;NOTA:&lt;/b&gt; come descritto all&#x27;interno della licenza GPLv3, il fornitore del software non fornisce alcun tipo di garanzia per il programma.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CNR-IGAG/cle-tools]]></homepage>
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        <icon>/media/packages/2021/icon_7Zs7oQT.png</icon>
        <author_name><![CDATA[IGAG-CNR]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CLETools/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[fpennica]]></uploaded_by>
        <create_date>2019-05-09T09:57:57.981620+00:00</create_date>
        <update_date>2021-07-15T08:48:44.807380+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/CNR-IGAG/cle-tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/CNR-IGAG/cle-tools]]></repository>
        <tags><![CDATA[seismic hazard,italy,pericolosità geologica,emergency limit condition,condizione limite per l&#x27;emergenza]]></tags>
        <downloads>4284</downloads>
        <average_vote>4.4541405326788475</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ZoomView" version="1.1.2" plugin_id="1716">
        <description><![CDATA[Adds a dock panel showing a magnification of the map canvas around a selected point. Map tools are still usable in the central map canvas and also in the ZoomView.]]></description>
        <about><![CDATA[See the project homepage for a detailed overview and usage instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://zoomview.readthedocs.io]]></homepage>
        <file_name>zoomview.1.1.2.zip</file_name>
        <icon>/media/packages/2023/icon_jQjpXAO.svg</icon>
        <author_name><![CDATA[Andreas Janz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/zoomview/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[janzandr]]></uploaded_by>
        <create_date>2019-05-11T21:59:24.757070+00:00</create_date>
        <update_date>2023-04-28T10:52:26.422777+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/janzandr/zoomview/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/janzandr/zoomview]]></repository>
        <tags><![CDATA[zoom,map view,magnification,point selection]]></tags>
        <downloads>30273</downloads>
        <average_vote>3.8664089060729285</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="profileAAR" version="2.0.4" plugin_id="1718">
        <description><![CDATA[The plugin profileAAR transforms profile control points for fotogrammetric rectification of section images of archaeological excavations]]></description>
        <about><![CDATA[The plugin profileAAR transforms section control points for photogrammetric rectification of profile images from archaeological excavations. With this plugin you can prepare your data for rectifing your images of profiles in QGIS. Explanation is under the &#x27;?&#x27;-Symbol to be found in the plugin]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ISAAKiel/profileAAR]]></homepage>
        <file_name>profileAAR.2.0.4.zip</file_name>
        <icon>/media/packages/2023/icon_d6iJXHd.png</icon>
        <author_name><![CDATA[ISAAKiel- Moritz Mennenga (NIhK WHV), Kay Schmütz, Christoph Rinne (UFG Kiel)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/profileAAR/version/2.0.4/download/</download_url>
        <uploaded_by><![CDATA[mmmennenga]]></uploaded_by>
        <create_date>2019-05-14T11:28:52.329788+00:00</create_date>
        <update_date>2023-08-09T09:35:37.015108+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ISAAKiel/profileAAR/issues/]]></tracker>
        <repository><![CDATA[https://github.com/ISAAKiel/profileAAR/tree/qgis3]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>7293</downloads>
        <average_vote>4.52607757486448</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bezier Editing" version="1.4.0" plugin_id="1719">
        <description><![CDATA[Bezier curve and freehand digitizing tools.]]></description>
        <about><![CDATA[This plugin digitizes features using Bezier curves. You can create Bezier curve by plotting anchors and handles.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tmizu23/BezierEditing]]></homepage>
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        <icon>/media/packages/2026/BezierEditing.png</icon>
        <author_name><![CDATA[Takayuki Mizutani]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BezierEditing/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[tmizu23]]></uploaded_by>
        <create_date>2019-05-16T13:23:03.336349+00:00</create_date>
        <update_date>2026-03-30T10:35:32.267976+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tmizu23/BezierEditing/issues]]></tracker>
        <repository><![CDATA[https://github.com/tmizu23/BezierEditing]]></repository>
        <tags><![CDATA[vector,digitizing,bezier,freehand]]></tags>
        <downloads>66412</downloads>
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        <rating_votes>63</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QRectangleCreator" version="0.3" plugin_id="1722">
        <description><![CDATA[QRectangleCreator allows you to create a polygon (rectangle) with the specified width, length on the rotation.]]></description>
        <about><![CDATA[QRectangleCreator allows you to create a polygon (rectangle) with the specified width, length on the rotation. The added object is visible in the map window in real time. Clicking adds the object to the selected layer in the layer tree. Important! The selected layer must be of type: polygon. If you try to add an object to, for example, a point layer, an error message will be displayed. Polygon dimensions are treated as mapping units in which the map is currently rendered]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/abocianowski/QRectangleCreator]]></homepage>
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        <icon>/media/packages/2019/addRectangle_ykTR4ql.png</icon>
        <author_name><![CDATA[Adrian Bocianowski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QRectangleCreator/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[abocianowski]]></uploaded_by>
        <create_date>2019-05-21T15:06:11.067552+00:00</create_date>
        <update_date>2019-05-22T17:11:30.847126+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/abocianowski/QRectangleCreator/issues]]></tracker>
        <repository><![CDATA[https://github.com/abocianowski/QRectangleCreator]]></repository>
        <tags><![CDATA[python,angle,rectangle,snap,size,snapped,create rectangle with map units,create polygon]]></tags>
        <downloads>26221</downloads>
        <average_vote>3.7198512059517617</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Color to Attribute" version="0.2.1" plugin_id="1723">
        <description><![CDATA[Create a new colum in a layer holding each feature color.]]></description>
        <about><![CDATA[Create a new colum in a layer holding each feature color.
Using a simple dialog, choose a layer and an existing or new
string/Text attribute that will store colors in the common
hexadecimal format. Works with Single Symbol, Categorized and
Graduated renderers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://jcastellssala.com/2012/06/27/qgis-color-to-layer-attribute/]]></homepage>
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        <icon>/media/packages/2020/icon_znAGOYl.png</icon>
        <author_name><![CDATA[Jordi Castells]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/color_attribute/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[kxtells]]></uploaded_by>
        <create_date>2019-05-22T14:20:19.924211+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kxtells/kxtells_qgis_plugins/issues]]></tracker>
        <repository><![CDATA[https://github.com/kxtells/kxtells_qgis_plugins/]]></repository>
        <tags><![CDATA[vector,color]]></tags>
        <downloads>18729</downloads>
        <average_vote>4.499750013888117</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Track Profile to Web" version="1.3" plugin_id="1724">
        <description><![CDATA[Leaflet interactive web profiles.]]></description>
        <about><![CDATA[With this plugin you can export an interactive leaflet map with a profile. E.g. an elevation profile of a route. This plugin uses the &lt;a href=&quot;https://github.com/Raruto/leaflet-elevation&quot;&gt;Leaflet Elevation library&lt;/a&gt; of &lt;a href=&quot;https://github.com/Raruto&quot;&gt;Raruto&lt;/a&gt;.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.faunalia.eu/en/dev/trackprofile2web]]></homepage>
        <file_name>track_profile_2_web.1.3.zip</file_name>
        <icon>/media/packages/2019/icon_JdfKEuk.png</icon>
        <author_name><![CDATA[Matteo Ghetta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/track_profile_2_web/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[ghtmtt]]></uploaded_by>
        <create_date>2019-05-24T12:49:38.709928+00:00</create_date>
        <update_date>2019-05-31T09:46:00.362259+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/faunalia/trackprofile2web/issues]]></tracker>
        <repository><![CDATA[https://github.com/faunalia/trackprofile2web]]></repository>
        <tags><![CDATA[profile,web,elevation,leaflet,route]]></tags>
        <downloads>13568</downloads>
        <average_vote>3.9995000624921886</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kontrollblatt SH" version="1.2" plugin_id="1727">
        <description><![CDATA[Bauminventar Kontrollblatt]]></description>
        <about><![CDATA[Setzen von Erledigt_Datum und Kontrolleur auf Layer &quot;kontrollblatt&quot; für eine Auswahl von Features.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[www.opengis.ch]]></homepage>
        <file_name>kontrollblatt_sh.1.2.zip</file_name>
        <icon>/media/packages/2019/icon_fZBXvYD.svg</icon>
        <author_name><![CDATA[David Signer, OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kontrollblatt_sh/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[signedav]]></uploaded_by>
        <create_date>2019-05-28T09:37:13.944713+00:00</create_date>
        <update_date>2019-12-17T15:00:14.031887+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis_kontrollblatt_sh/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis_kontrollblatt_sh]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2086</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EarthDaily" version="1.4.0" plugin_id="1728">
        <description><![CDATA[Discover, request and use imagery products based on virtual constellation within QGIS, using the EarthDaily® Platform capabilities.]]></description>
        <about><![CDATA[The EarthDaily® plugin for QGIS is the easiest way to leverage the powerful capabilities of the EarthDaily® Platform directly within your QGIS workflows. Designed for Earth observation professionals, it enables seamless access to field-level analytics, eliminating the need for coding while providing actionable geospatial insights.

Key Features:
- Historical and In-Season Maps: Analyze past trends and current conditions with EarthDaily® field-level data.
- Multi-Index Maps: Visualize indices such as NDVI, GNDVI, EVI, CVI, S2REP, NDWI, and NDMI to unlock deeper insights into vegetation health, moisture, and more.
- Multi-Sensor Integration: Utilize data from Sentinel-2, Landsat-8, Landsat-9, Gaofen, Huanjing, and the upcoming EarthDaily Constellation (2025).
- Advanced Processing Tools: Create polygon-based maps and access robust spectral visualizations for precision analysis.
- EarthDaily’s QGIS Plugin bridges the gap between data and decision-making, empowering users in agriculture, water management, forest planning, and beyond to make informed choices.

Resources:
- Documentation: https://github.com/earthdaily/EDA-Documentation
- Repository: https://github.com/earthdaily/qgis-plugin
- EarthDaily python package: https://github.com/earthdaily/earthdaily-python-client]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/earthdaily/qgis-plugin]]></homepage>
        <file_name>geosys-plugin.1.4.0.zip</file_name>
        <icon>/media/packages/2025/icon_S60tfT5.png</icon>
        <author_name><![CDATA[Earth Daily]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geosys-plugin/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[samtwesa]]></uploaded_by>
        <create_date>2019-05-28T09:43:22.788705+00:00</create_date>
        <update_date>2025-02-06T12:15:26.158829+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/earthdaily/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/earthdaily/qgis-plugin]]></repository>
        <tags><![CDATA[vector,wkt,ecology,python,raster,shapefile,bounding box,kmz,analysis,kml,landsat,shape,fields,field,time series,webservices,elevation,import,remote sensing,sustainability,vector layer,spatial,google earth,webservice,area,accuracy,image,sentinel,spectral,timeseries,change detection,images,gis,json,catalog,satellite,plot,basemap,imagery,agriculture,api,maps,ndvi,cartography,vegetation,modis,importer,smart farming,satellite data,earth observation,quality,lai,agronomy,digital farming,spatial data,gndvi,field agronomy maps,biomass,evi,field vegetation indexes,nitogen,cvi,geosys,precision-ag]]></tags>
        <downloads>58737</downloads>
        <average_vote>3.461405330564209</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Coordinator" version="0.4" plugin_id="1729">
        <description><![CDATA[Capture, transform and use coordinates]]></description>
        <about><![CDATA[The purpose of this plugin is to make handling of coordinate IO easier and includes a transformation tool and supports creation of simple features.
This plugin overlaps in different ways with the purpose of the plugins Coordinate Capture, Lat Lon Tools and the Advanced Digitize Panel. It however aims to integrate in a clean and simple interface multiple tasks these tools are sometimes used together. And yes...: Its almost as it&#x27;s just another coordinate tool. :)
The two main functions of this plugin are:
(A) a simple and easy to use coordinate transformation tool with an integrated picker and
(B) a quick to use coordinate digitizer with support for coordinates in an arbitrary CRS independent of project or layer CRS.
Both of these functions are seamlessly integrated and are implemented as a single, unique operation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/iona5/coordinator]]></homepage>
        <file_name>coordinator.0.4.zip</file_name>
        <icon>/media/packages/2019/marker.png</icon>
        <author_name><![CDATA[Jonas Küpper]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coordinator/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[iona5]]></uploaded_by>
        <create_date>2019-05-29T20:36:22.675313+00:00</create_date>
        <update_date>2020-12-30T15:14:06.540631+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/iona5/coordinator/issues]]></tracker>
        <repository><![CDATA[https://github.com/iona5/coordinator]]></repository>
        <tags><![CDATA[python,transformation,capture,digitizing,coordinate,coordinates,clipboard]]></tags>
        <downloads>69994</downloads>
        <average_vote>4.666407421809899</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGYF" version="1.5" plugin_id="1731">
        <description><![CDATA[Green Space Factor Calculator]]></description>
        <about><![CDATA[QGIS Green Space Factor calculator. The green space factor is a measure to quantify the amount of urban ecosystem services. The factor is the quota between the area of green/blue surface plus the amount of ecosystem service boost devided by the area of hard surface. This plugin helps you with the calculations and implements a model developed by the Swedish foundation C/O city.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.cocity.se/verktyg/qgyf/]]></homepage>
        <file_name>QGYF.1.5.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[CO City]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGYF/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[erikedmark]]></uploaded_by>
        <create_date>2019-06-12T23:00:07.810807+00:00</create_date>
        <update_date>2023-07-03T16:58:47.959555+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/co-city/qgyf/issues]]></tracker>
        <repository><![CDATA[https://github.com/co-city/qgyf.git]]></repository>
        <tags><![CDATA[python,ecosystem,urban development]]></tags>
        <downloads>5947</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Usługa Lokalizacji Działek Katastralnych" version="1.5.2" plugin_id="1732">
        <description><![CDATA[Wtyczka pozwala na pobieranie geometrii granic działek katastralnych, obrębów, gmin, powiatów i województw. ENG: The plugin made for dowloading parcells geometry from The Central Office of Geodesy and Cartography of Poland &quot;ULDK API&quot;.]]></description>
        <about><![CDATA[Wtyczka pozwala na pobieranie geometrii granic działek katastralnych, obrębów, gmin, powiatów i województw za pomocą numeru TERYT lub współrzędnych w dowolnym układzie. Pobieranie danych jest realizowane przez usługę ULDK udostępnianą przez Główny Urząd Geodezji i Kartografii. ENG: The plugin allows user to download geometry of parcells, communies, regions using the TERYT number or coordinates in any system. Plugin uses ULDK API of The Central Office of Geodesy and Cartography of Poland.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://envirosolutions.pl/wtyczki-qgis/usluga-lokalizacji-dzialek-katastralnych-uldk/]]></homepage>
        <file_name>uldk_gugik.1.5.2.zip</file_name>
        <icon>/media/packages/2026/uldk_Wd1aW5i.svg</icon>
        <author_name><![CDATA[EnviroSolutions Sp. z o.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/uldk_gugik/version/1.5.2/download/</download_url>
        <uploaded_by><![CDATA[envirosolutions]]></uploaded_by>
        <create_date>2019-06-14T17:05:20.022379+00:00</create_date>
        <update_date>2026-04-16T08:31:55.773775+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/envirosolutionspl/uldk_gugik/issues]]></tracker>
        <repository><![CDATA[https://github.com/envirosolutionspl/uldk_gugik]]></repository>
        <tags><![CDATA[python,dzialki,działki,ewidencja,uldk,gugik,kataster]]></tags>
        <downloads>92614</downloads>
        <average_vote>4.693222740964779</average_vote>
        <rating_votes>163</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AttributesJoinByLine" version="0.4" plugin_id="1734">
        <description><![CDATA[AttributesJoinByLine allows you to copy attributes from the source layer to the target layer by using a line.]]></description>
        <about><![CDATA[AttributesJoinByLine allows you to copy attributes from the source layer to the target layer by using a line.Layers: source, target and line must be saved in the same coordinate system. The algorithm, based on lines connected to the source point, looks for target points and gets their attributes. Missing columns in the target layer will be added automatically. For different values ​​in the source layer for the same columns, this will be marked as an error and the data will not be moved. The plug-in created thanks to the financial support of &lt;a href=&quot;http://geofabryka.pl/&quot;&gt;Geofabryka Sp. z o.o.&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gishelper.pl/index.php/2019/06/18/jak-przeniesc-atrybuty-punktow-przy-uzyciu-linii/]]></homepage>
        <file_name>AttributesJoinByLine.0.4.zip</file_name>
        <icon>/media/packages/2020/AttributesJoinByLine.png</icon>
        <author_name><![CDATA[Adrian Bocianowski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AttributesJoinByLine/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[abocianowski]]></uploaded_by>
        <create_date>2019-06-18T16:41:04.968165+00:00</create_date>
        <update_date>2020-01-11T12:14:17.092815+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/abocianowski/AttributesJoinByLine/issues]]></tracker>
        <repository><![CDATA[https://github.com/abocianowski/AttributesJoinByLine]]></repository>
        <tags><![CDATA[attribute,line,join,attributes,by]]></tags>
        <downloads>16807</downloads>
        <average_vote>4.28510212826739</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sample by area" version="1.3.0" plugin_id="1735">
        <description><![CDATA[Creates area-based sampling plans for spatial data quality inspection, based on the size of the area of interest (AOI), inspection level (I, II, or III), and acceptable quality limit (AQL). Based on ISO 19157:2013 and ISO 2859 standards.]]></description>
        <about><![CDATA[This plugin generates area-based sampling units (inspection areas) to support the quality inspection of spatial datasets, using customizable parameters such as inspection level and acceptable quality limits. It is based on ISO 19157:2013 and ISO 2859 sampling procedures.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alxcart/SampleByArea/wiki]]></homepage>
        <file_name>SampleByArea.1.3.0.zip</file_name>
        <icon>/media/packages/2025/icon_oH7eUlV.png</icon>
        <author_name><![CDATA[Alex Santos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SampleByArea/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[alxcart]]></uploaded_by>
        <create_date>2019-06-20T00:11:17.532573+00:00</create_date>
        <update_date>2025-07-13T14:37:06.969797+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alxcart/SampleByArea/issues]]></tracker>
        <repository><![CDATA[https://github.com/alxcart/SampleByArea]]></repository>
        <tags><![CDATA[vector,feature,sample,qgis,inspection,geopackage,sampling plan,spatial data quality,iso 19157:2013,lqa,aql,amostragem]]></tags>
        <downloads>13196</downloads>
        <average_vote>4.466368908739417</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ParCatGML" version="1.5" plugin_id="1736">
        <description><![CDATA[Creation of GML file to validate cadastral parcel. (ES) Creación de fichero GML para validar parcela catastral]]></description>
        <about><![CDATA[Plugin to export to gml according to indications of the headquarters of the Cadastre of Spain in GML INSPIRE CP format v3 and v4 with the objective of validating a parcel in the Virtual Office of the Cadastre. This plugin only work to validate parcels in Spain&#x27;s Cadastral. (ES) Plugin para exportar a gml según indicaciones de la sede del Catastro de España en formato GML INSPIRE CP v3 y v4 con el objetivo de validar una parcela en la Oficina Virtual del Catastro. Primero selecciona una parcela y en segundo lugar ejecuta el plugin para utlizarlo.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/psigcat/ParCatGML]]></homepage>
        <file_name>ParCatGML.1.5.zip</file_name>
        <icon>/media/packages/2025/ParCatGML_XxZLBun.png</icon>
        <author_name><![CDATA[Geradl Kogler, Pep Vallory, David Erill, Carlos Lopez Quintanilla]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ParCatGML/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[carlitos]]></uploaded_by>
        <create_date>2019-06-20T05:56:41.692300+00:00</create_date>
        <update_date>2025-01-17T09:46:38.087373+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/psigcat/ParCatGML/issues]]></tracker>
        <repository><![CDATA[https://github.com/psigcat/ParCatGML]]></repository>
        <tags><![CDATA[spain,gml,catastro,parcela,referencia cadastral]]></tags>
        <downloads>17665</downloads>
        <average_vote>2.945866327937083</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MODIS_NITK" version="0.3" plugin_id="1739">
        <description><![CDATA[Plugin to process MODIS data available in HDF Format to user friendly GeoTiff (.tif) format and provide an option for Time Series analysis of raster dataset at single and multiple coordinate location]]></description>
        <about><![CDATA[A QGIS plugin to process MODIS data available in HDF Format to user friendly GeoTiff (.tif) format and provide an option for Time Series analysis of raster dataset at single and multiple coordinate location]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/aishwaryahegde29/modis_nitk]]></homepage>
        <file_name>modis_nitk.0.3.zip</file_name>
        <icon>/media/packages/2019/icon_c87pyYa.png</icon>
        <author_name><![CDATA[Aishwarya Hegde A, Pruthviraj Umesh, Amba Shetty]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/modis_nitk/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[aishwarya25]]></uploaded_by>
        <create_date>2019-06-21T05:12:00.459145+00:00</create_date>
        <update_date>2019-10-21T10:21:41.460464+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aishwaryahegde29/modis_nitk/issues]]></tracker>
        <repository><![CDATA[https://github.com/aishwaryahegde29/modis_nitk]]></repository>
        <tags><![CDATA[python,graph,modis,timeseries analysis,sds layer,scalefactor,hdf to geotiff]]></tags>
        <downloads>16066</downloads>
        <average_vote>4.110996916752312</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WinCan VX Integration" version="0.94" plugin_id="1740">
        <description><![CDATA[Download data from WinCan VX]]></description>
        <about><![CDATA[Integrate inspection data between WinCan VX and QGIS. Create WinCan layers, edit shapefiles and transfer data between QGIS layers and WinCan product.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.wincan.com/en/home/]]></homepage>
        <file_name>vx_integration.0.94.zip</file_name>
        <icon>/media/packages/2022/icon_DGQwJUl.png</icon>
        <author_name><![CDATA[WinCan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vx_integration/version/0.94/download/</download_url>
        <uploaded_by><![CDATA[wincan]]></uploaded_by>
        <create_date>2019-06-21T10:20:45.693165+00:00</create_date>
        <update_date>2022-09-01T11:11:00.650739+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WinCan/QGISPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/WinCan/QGISPlugin]]></repository>
        <tags><![CDATA[map,wincan,vx]]></tags>
        <downloads>4746</downloads>
        <average_vote>3.9997143061209917</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ThRasE" version="26.4" plugin_id="1743">
        <description><![CDATA[Open-source QGIS plugin for rigorous thematic raster editing with synchronized multi-panel views, recode pixel tables, modification tracking, tile navigation, and session persistence.]]></description>
        <about><![CDATA[ThRasE is a powerful and flexible QGIS Python plugin for fast thematic raster editing. It utilizes a recode pixel table to modify multiple classes simultaneously using various tools, including pixels, lines, polygons, and freehand drawing. It includes a registry system that tracks all modifications made during editing sessions. The plugin also features comprehensive navigation tools that enable systematic and thorough layer inspection, a critical aspect of maintaining data quality and accuracy in thematic mapping projects.

The main purpose of the plugin is to ensure the quality of thematic maps throughout editing and reclassification processes by providing modification tracking registry, systematic visual inspection tools, and comparison capabilities with reference data. However, the plugin is not limited to this and can be used for various other thematic mapping tasks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://smbyc.github.io/ThRasE]]></homepage>
        <file_name>ThRasE.26.4.zip</file_name>
        <icon>/media/packages/2026/thrase_DVJ9Ja5.svg</icon>
        <author_name><![CDATA[Xavier Corredor Llano, SMByC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ThRasE/version/26.4/download/</download_url>
        <uploaded_by><![CDATA[xaviercll]]></uploaded_by>
        <create_date>2019-06-22T23:56:45.168584+00:00</create_date>
        <update_date>2026-04-10T22:49:05.452085+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SMByC/ThRasE/issues]]></tracker>
        <repository><![CDATA[https://github.com/SMByC/ThRasE]]></repository>
        <tags><![CDATA[editing,raster,edit,reclassification,inspection,navigation,thematic,quality,categorical]]></tags>
        <downloads>21872</downloads>
        <average_vote>4.736592810904689</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Network Logger" version="0.2.0" plugin_id="1745">
        <description><![CDATA[Show the request&#x27;s that go from QGIS (&gt;3.5 but &lt;= 3.12) to online services via the QgsNetworkAccessManager.]]></description>
        <about><![CDATA[IMPORTANT: you do NOT need this plugin if running QGIS 3.14 or higher!
Networklogging is in QGIS itself since QGIS Pi / 3.14. Just press F12!
This plugin tries to log the HTTP(s) requests, headers etc. that are sent via the QgsNetworkAccessManager.
You can see all requests (and response information) which are fired from within QGIS to debug your WMS/WFS/data services.
It is possible to replay the GET requests in your browser or other requests via CURL.
Note that plugins or code that sents http via another route then QgsNetworkAccessManager (like GDAL, or plugins using Requests) are NOT shown.
Thanks to Alessandro Pasotti for the last push, and Nyall Dawson for all the work he did!
You need QGIS 3.6 because the nessecary signals are not available yet in earlier versions.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rduivenvoorde/qgisnetworklogger]]></homepage>
        <file_name>qgisnetworklogger.0.2.0.zip</file_name>
        <icon>/media/packages/2020/icon_TccSsVP.svg</icon>
        <author_name><![CDATA[Richard Duivenvoorde]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisnetworklogger/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[rduivenvoorde]]></uploaded_by>
        <create_date>2019-06-26T14:33:56.201328+00:00</create_date>
        <update_date>2019-06-26T14:33:57.016826+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/rduivenvoorde/qgisnetworklogger/issues]]></tracker>
        <repository><![CDATA[https://github.com/rduivenvoorde/qgisnetworklogger]]></repository>
        <tags><![CDATA[network,logger,nam]]></tags>
        <downloads>10400</downloads>
        <average_vote>4.399560043995601</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CCTV Mapper" version="0.1" plugin_id="1747">
        <description><![CDATA[The plugin plots CCTV data from sanitary sewer pipe inspections]]></description>
        <about><![CDATA[This plugin plots points along lines from a CSV file by matching an ID column in CSV and a line feature ID. The point is plotted based on the digitized direction of the line (pipe) which is assumed to be upstream point to downstream point.  The CSV file needs to have specific column headings, a sample CSV file and a lines shapefile are included.  The primary purpose for its creation was for plotting sanitary sewer pipe inspection data from CCTV projects.  The resulting point file is a memory layer and will need to be saved out another type of format.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/boesiii/CCTVMapper]]></homepage>
        <file_name>cctv_mapper.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_N6nJlSN.png</icon>
        <author_name><![CDATA[Ed B]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cctv_mapper/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[boesiii]]></uploaded_by>
        <create_date>2019-06-27T15:34:59.165957+00:00</create_date>
        <update_date>2019-06-27T15:35:00.341016+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/boesiii/CCTVMapper/issues]]></tracker>
        <repository><![CDATA[https://github.com/boesiii/CCTVMapper]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>6861</downloads>
        <average_vote>3.9996000399960008</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MOS-Adeupa-CE" version="1.0.1" plugin_id="1750">
        <description><![CDATA[Allows user to generate a landuse with cross-referring data from different origins.]]></description>
        <about><![CDATA[This plugin, co-developed by ADEUPA and SIRS, generates a land use mode base at a simplified level. It is divided into 5 classes: urban, agricultural, natural, forest and water. It executes all processes in PostGreSQL/PostGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SIRS-CLS/mos-adeupa-ce]]></homepage>
        <file_name>mos_adeupa_ce.1.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_CiBQ67Z.png</icon>
        <author_name><![CDATA[Corentin Falcone (SIRS)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mos_adeupa_ce/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[ailurupoda]]></uploaded_by>
        <create_date>2019-07-01T12:29:27.622661+00:00</create_date>
        <update_date>2019-09-16T06:32:34.486080+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SIRS-CLS/mos-adeupa-ce/issues]]></tracker>
        <repository><![CDATA[https://github.com/SIRS-CLS/mos-adeupa-ce]]></repository>
        <tags><![CDATA[python,postgis,processing,postgresql,landcover,mos,ocs,landuse,parcel]]></tags>
        <downloads>3605</downloads>
        <average_vote>4.777246972558605</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AusMap" version="2.0" plugin_id="1755">
        <description><![CDATA[AusMap is a plugin for visualising publicly available Australian geographic data.]]></description>
        <about><![CDATA[AusMap gives quick access to a variety of feature sets and map layers provided by Geoscience Australia, the Google Maps Platform and OpenStreetMap. Selecting a desired layer from the AusMap menu will add it to the map canvas with styling and labelling applied. The layers are provided via WCS, WFS, WMS, WMTS and XYZ services, which all require an active internet connection.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://wmseng.com.au/]]></homepage>
        <file_name>AusMap.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_L6TSVHg.png</icon>
        <author_name><![CDATA[WMS Engineering]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AusMap/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[wms]]></uploaded_by>
        <create_date>2019-07-04T08:16:10.049690+00:00</create_date>
        <update_date>2025-02-08T12:46:12.951029+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WMS-Engineering/AusMap/issues]]></tracker>
        <repository><![CDATA[https://github.com/WMS-Engineering/AusMap]]></repository>
        <tags><![CDATA[vector,python,raster,map,web,wfs,wms,openstreetmap,osm,hydrology,google,dem,land cover,landscape,webservice,layers,basemap,imagery,transport,lidar,geoscience,bathymetry,australia]]></tags>
        <downloads>120883</downloads>
        <average_vote>4.163236984782416</average_vote>
        <rating_votes>147</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sample By Features" version="1.3.1" plugin_id="1758">
        <description><![CDATA[Calculates sample size based on feature population, inspection level, and acceptable quality limit (AQL). Based on ISO 2859-2 and NBR 5425–5427.]]></description>
        <about><![CDATA[This plugin calculates the sample size (n) from the population size (N) of a vector layer (feature class), based on the inspection level (I, II or III) and the acceptable quality limit (AQL). The population size (N) corresponds to the total number of features in the layer. The inspection level indicates the severity of inspection. The AQL defines the maximum proportion of nonconforming features allowed. The method follows ISO 2859-2 and Brazilian standards NBR 5425, 5426, and 5427. Este plugin calcula o tamanho da amostra (n) a partir do tamanho da população (N) de uma camada vetorial, com base no nível de inspeção e no Limite de Qualidade Aceitável (AQL). A metodologia segue as normas ISO 2859-2 e NBRs 5425, 5426 e 5427.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alxcart/SampleByFeatures/wiki]]></homepage>
        <file_name>SampleByFeatures.1.3.1.zip</file_name>
        <icon>/media/packages/2025/icon_lYGcwQB.png</icon>
        <author_name><![CDATA[Alex Santos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SampleByFeatures/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[alxcart]]></uploaded_by>
        <create_date>2019-07-07T13:06:30.680257+00:00</create_date>
        <update_date>2025-07-13T14:59:07.323477+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alxcart/SampleByFeatures/issues]]></tracker>
        <repository><![CDATA[https://github.com/alxcart/SampleByFeatures]]></repository>
        <tags><![CDATA[vector,feature,sample,layer,spatial data quality,iso 19157,iso 2859,lqa,aql,amostragem,sampling,qgis plugin,nbr 5426,nbr 5425,qualidade espacial,nbr 5427]]></tags>
        <downloads>8366</downloads>
        <average_vote>4.4439506721475395</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ThemeSelector" version="4.0.0" plugin_id="1759">
        <description><![CDATA[This plugin brings the layer theme settings directly to the desktop]]></description>
        <about><![CDATA[Take saved themes and apply them with a selection by dropdown.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mach0/themeselector]]></homepage>
        <file_name>themeselector.4.0.0.zip</file_name>
        <icon>/media/packages/2025/selector.png</icon>
        <author_name><![CDATA[Werner Macho für Wagner-IT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/themeselector/version/4.0.0/download/</download_url>
        <uploaded_by><![CDATA[macho]]></uploaded_by>
        <create_date>2019-07-08T14:36:18.103344+00:00</create_date>
        <update_date>2025-09-26T10:46:04.906251+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mach0/themeselector/issues]]></tracker>
        <repository><![CDATA[https://github.com/mach0/themeselector]]></repository>
        <tags><![CDATA[layer,select,settings,theme,preset,options]]></tags>
        <downloads>12383</downloads>
        <average_vote>4.655011896141512</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Water Network Tools" version="1.3.6" plugin_id="1765">
        <description><![CDATA[Water Network Modelling Utilities]]></description>
        <about><![CDATA[&lt;p&gt;A set of processes for modeling water networks. Starting from scratch or expanding an existing network, it is possible to import and export models, scenarios and other files for network analysis and optimization.&lt;/p&gt;&lt;p&gt;Get Started: &lt;a href=&quot;https://www.youtube.com/playlist?list=PLzE4DxrnNT-Fg0Ztku6jbIG8QEEOHqYEH&quot;&gt;Youtube tutorial&lt;/a&gt;. Autor: Andrés García Martínez &lt;a href=&quot;https://bit.ly/2m8otrB&quot;&gt;LinkedIn&lt;/a&gt;&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/andresgciamtez/wnt]]></homepage>
        <file_name>wnt.1.3.6.zip</file_name>
        <icon>/media/packages/2023/icon_Qfs8Iie.png</icon>
        <author_name><![CDATA[Andrés García Martínez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wnt/version/1.3.6/download/</download_url>
        <uploaded_by><![CDATA[ppno]]></uploaded_by>
        <create_date>2019-07-20T19:08:06.221308+00:00</create_date>
        <update_date>2023-03-06T12:21:28.194217+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/andresgciamtez/wnt/issues]]></tracker>
        <repository><![CDATA[https://github.com/andresgciamtez/wnt]]></repository>
        <tags><![CDATA[water,epanet,hydraulics,wds modelling,water network analysis]]></tags>
        <downloads>35197</downloads>
        <average_vote>4.264580453516073</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Trail Elevation Stats" version="0.2" plugin_id="1768">
        <description><![CDATA[Calculate information such as cumulative elevation gain from a DEM and a line layer.]]></description>
        <about><![CDATA[Calculates positive and negative cumulative elevation gain as well as kilometer equivalent for each linestring. More information about the kilometer equivalent calculation are available at the plugin homepage. The outputs are a copy of the line layer with elevation stats and a point layer which can be used to plot elevation profiles.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://framagit.org/GustaveCoste/trail-elevation-stats]]></homepage>
        <file_name>trail_elevation_stats.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Gustave Coste]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/trail_elevation_stats/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[gustavecoste]]></uploaded_by>
        <create_date>2019-07-26T13:45:12.008816+00:00</create_date>
        <update_date>2019-09-13T09:17:16.991563+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://framagit.org/GustaveCoste/trail-elevation-stats/issues]]></tracker>
        <repository><![CDATA[https://framagit.org/GustaveCoste/trail-elevation-stats]]></repository>
        <tags><![CDATA[dem,elevation,processing,hiking]]></tags>
        <downloads>10342</downloads>
        <average_vote>4.333092605966335</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGISRed" version="0.17" plugin_id="1769">
        <description><![CDATA[Free professional software to build and analyze advanced water distribution network models and Digital Twins.]]></description>
        <about><![CDATA[QGISRed is a freeware QGIS plugin developed to assist in building and analyzing hydraulic models of water distribution networks of any complexity, up to the level of detail required by Digital Twins.
The plugin works seamlessly with QGIS, enabling users to georeference network elements, use geographic background layers, edit graphical and alphanumeric data, apply geoprocessing tools, visualize data by layers and customize symbology.
QGISRed relies on an easy-to-use relational database of SHP and DBF files based on the EPANET data model, extended with additional capabilities. Starting from the EPANET data model significantly reduces the learning curve.
QGISRed provides numerous tools to build hydraulic models, manage demand scenarios and analyze results without needing advanced QGIS knowledge:

    - Project manager for easy project loading and storage
    - Automatic creation of new empty projects
    - Project backup creation
    - Import/export EPANET INP files
    - Import network components from Shapefiles and Digital Twin elements (service connections, isolation valves, sensors)
    - Automatic generation of topological relationships
    - Full graphical editing tools (add, delete, move, edit vertices/nodes, reverse links, multi-selection)
    - Network layout debugging and connectivity verification
    - Default values for newly created elements
    - Property editor for model and Digital Twin attributes
    - Analysis options and defaults editor
    - Automatic pipe length calculation
    - Elevation interpolation from DTM
    - Roughness estimation from pipe material and age
    - Roughness coefficient conversion between formulas and units
    - Visualization of multiple demands and quality sources
    - Automatic nodal demand allocation
    - Multi-category demand scenario management
    - Scenario builder (import/export)
    - Editors for curves, patterns, controls and rules
    - Model validation tools
    - Service connection and isolation valve management
    - Detection of isolated zones
    - Optional integration of service connections
    - Sensor declaration and signal association
    - Field data import/export
    - Automatic identification of hydraulic sectors
    - Simulation using EPANET toolkit 2.3
    - Visualization of results (tables, color-coded layers, arrows, labels)
    - Automatic legend generation
    - Simulation navigation bar

QGISRed also includes tools to detect editing errors and fill missing information before simulation.

Development initiative of the REDHISP Research Group, IIAMA (UPV, Spain), led by Prof. Fernando Martínez Alzamora. Implemented until 2022 by WaterPi under the direction of Néstor Lerma, PhD Eng.

QGISRed updates the former GISRed application for ArcView 3.1. The GISRed name remains for the .NET core libraries used by QGISRed.

Related urls:
    Website: https://qgisred.upv.es
    Plugin repository page: https://plugins.qgis.org/plugins/QGISRed/
    User Manual (EN): https://qgisred.webs.upv.es/files/manuals/QGISRed_0.17_usermanual_en.pdf
    User Manual (ES): https://qgisred.webs.upv.es/files/manuals/QGISRed_0.17_usermanual_es.pdf

Requirements: .NET Framework 4.5 - Windows OS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgisred.upv.es/]]></homepage>
        <file_name>QGISRed.0.17.zip</file_name>
        <icon>/media/packages/2026/qgisred.png</icon>
        <author_name><![CDATA[Fernando Martínez. REDHISP Group. IIAMA. UPV]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGISRed/version/0.17/download/</download_url>
        <uploaded_by><![CDATA[redhisp]]></uploaded_by>
        <create_date>2019-07-29T13:37:11.588893+00:00</create_date>
        <update_date>2026-02-10T16:51:42.288647+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgisred/QGISRed/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgisred/QGISRed]]></repository>
        <tags><![CDATA[epanet,gisred,water distribution networks,hydraulic model,digital twins,detailed model]]></tags>
        <downloads>39958</downloads>
        <average_vote>4.716152484425886</average_vote>
        <rating_votes>74</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Forest Roads Network" version="1.6" plugin_id="1773">
        <description><![CDATA[A plugin to create a vectorial network of forest roads of different types according to the flux of timber going through them.]]></description>
        <about><![CDATA[This plugin contains several algorithms to allow the user to simply create a forest road network optimized in space to reduce construction costs. However, remember that it is not made for operational road planning, but rather strategical planning or theoretical exercises. A first algorithm creates the cost raster in which each pixel represents a cost of construction for a forest road; the second algorithm constructs the network using the cost raster; the third determines how the wood will flow through the network. The fourth determine the type of forest road (primary, secondary, etc.) according to those flux of wood and zones where temporary roads must be prioritized. For visual examples and more explanations, please refer to the github of the project linked below.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Klemet/ForestRoadNetworkPluginForQGIS]]></homepage>
        <file_name>ForestRoadsNetworksUPLOAD.1.6.zip</file_name>
        <icon>/media/packages/2019/icon_vt84IbM.png</icon>
        <author_name><![CDATA[Clément Hardy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ForestRoadsNetworksUPLOAD/version/1.6/download/</download_url>
        <uploaded_by><![CDATA[klemet]]></uploaded_by>
        <create_date>2019-08-02T11:44:42.558186+00:00</create_date>
        <update_date>2019-10-07T18:23:56.263465+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Klemet/ForestRoadNetworkPluginForQGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Klemet/ForestRoadNetworkPluginForQGIS]]></repository>
        <tags><![CDATA[least cost path distance raster analysis road]]></tags>
        <downloads>12828</downloads>
        <average_vote>4.235044997353096</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Magic Wand" version="1.3.2" plugin_id="1775">
        <description><![CDATA[Auto-making Polygon by MapCanvas]]></description>
        <about><![CDATA[QGIS plugin to make polygon easily and automatically by analysing MapCanvas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://kiguchi999.hatenablog.com/]]></homepage>
        <file_name>MagicWand-master.1.3.2.zip</file_name>
        <icon>/media/packages/2022/icon_5EN9Za5.png</icon>
        <author_name><![CDATA[Kanahiro Iguchi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MagicWand-master/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[kanahiro]]></uploaded_by>
        <create_date>2019-08-02T13:13:58.179121+00:00</create_date>
        <update_date>2022-07-08T00:30:35.165312+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kanahiro/MagicWand/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kanahiro/MagicWand]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>32472</downloads>
        <average_vote>4.538286988961962</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Time of Concentration and Lag Time" version="0.1" plugin_id="1776">
        <description><![CDATA[In a hydrological modelling framework, this plugin applies different empirical equations to estimate time of concentration and lag time. The plugin works from a shape file provided by the user, typically representing basins. ]]></description>
        <about><![CDATA[In a hydrological modelling framework, this plugin applies different empirical equations to estimate time of concentration and lag time. The plugin works from a shape file provided by the user, typically representing basins. The user assigns the corresponding attributes to the variables required for calculus of such times. Then, based on the provided attributes, the plugin exclusively enables the computable equations in both time of concentration and lag time, depending on the selected parameters. The table below presents the required parameters for calculating the different equations, also shown below.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/joaherrerama/Tc-and-Lag-Time-QGIS-Plugin]]></homepage>
        <file_name>tc_tlag.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_8Uk96Pz.png</icon>
        <author_name><![CDATA[Jorge Andrés Herrera Maldonado]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tc_tlag/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[joaherrerama]]></uploaded_by>
        <create_date>2019-08-02T15:22:37.715919+00:00</create_date>
        <update_date>2019-08-02T15:22:38.582623+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/joaherrerama/Tc-and-Lag-Time-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/joaherrerama/Tc-and-Lag-Time-QGIS-Plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7420</downloads>
        <average_vote>3.717310493250147</average_vote>
        <rating_votes>46</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FloodRisk2" version="0.8" plugin_id="1777">
        <description><![CDATA[This plugin assist authorities for flood risk analysis and management]]></description>
        <about><![CDATA[Floodrisks is an Open Source software to combine the main features of state-of-the-art science, collaboration, transparency and interoperability in an initiative to assist authorities for flood risk analysis and management]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FloodRiskGroup/floodrisk2.git]]></homepage>
        <file_name>floodrisk2.0.8.zip</file_name>
        <icon>/media/packages/2025/iconafloodrisk.png</icon>
        <author_name><![CDATA[L.Mancusi - RSE S.p.A.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/floodrisk2/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[leomancusi]]></uploaded_by>
        <create_date>2019-08-06T12:15:13.126648+00:00</create_date>
        <update_date>2025-03-20T09:47:39.402300+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FloodRiskGroup/floodrisk2/issues]]></tracker>
        <repository><![CDATA[https://github.com/FloodRiskGroup/floodrisk2.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>23050</downloads>
        <average_vote>3.999428653049564</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Tree Toggle Labels Widget" version="1.0.2" plugin_id="1783">
        <description><![CDATA[A layer tree widget for quick toggling of labels in a layer]]></description>
        <about><![CDATA[A layer tree widget for quick toggling of labels in a layer]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/north-road/qgis_toggle_labels_widget]]></homepage>
        <file_name>toggle_labels_widget.1.0.2.zip</file_name>
        <icon>/media/packages/2020/icon_Eti3dZp.png</icon>
        <author_name><![CDATA[North Road]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/toggle_labels_widget/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2019-08-13T04:27:50.741944+00:00</create_date>
        <update_date>2020-11-02T22:15:57.582038+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/north-road/qgis_toggle_labels_widget/issues]]></tracker>
        <repository><![CDATA[https://github.com/north-road/qgis_toggle_labels_widget]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>9285</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Format consistency" version="0.3" plugin_id="1785">
        <description><![CDATA[Check econding, number of features and coordinate system in layer(s)]]></description>
        <about><![CDATA[This plugin check in layer(s) your econding, number of features and coordinate system.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alxcart/FormatConsistency/wiki]]></homepage>
        <file_name>FormatConsistency.0.3.zip</file_name>
        <icon>/media/packages/2023/icon_7mhc8C3.png</icon>
        <author_name><![CDATA[Alex Santos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FormatConsistency/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[alxcart]]></uploaded_by>
        <create_date>2019-08-13T22:58:44.526813+00:00</create_date>
        <update_date>2023-07-05T22:42:15.752538+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alxcart/FormatConsistency/issues]]></tracker>
        <repository><![CDATA[https://github.com/alxcart/FormatConsistency/wiki]]></repository>
        <tags><![CDATA[format,check,src,spatial data quality,econding]]></tags>
        <downloads>4863</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Processing Tool" version="0.4" plugin_id="1790">
        <description><![CDATA[Easy Processing Tool for Korean. Add multiple layer, Add length or area attributes, Create centroid layer, Convert or set coordinate system.]]></description>
        <about><![CDATA[Easy Processing Tool for Korean. Add multiple layer, Add length or area attributes, Create centroid layer, Convert or set coordinate system.&lt;br/&gt;본 플러그인은 한국임업진흥원과 아이지아이에스가 공동 개발한 플러그인입니다.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.igiskorea.com]]></homepage>
        <file_name>easy_processing_tool.0.4.zip</file_name>
        <icon>/media/packages/2020/icon_Ef71ejI.png</icon>
        <author_name><![CDATA[iGIS Corp.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easy_processing_tool/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[crowrbno]]></uploaded_by>
        <create_date>2019-08-19T07:51:14.040746+00:00</create_date>
        <update_date>2020-04-07T07:19:17.371250+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/crowrbno/easy_processing_tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/crowrbno/easy_processing_tool]]></repository>
        <tags><![CDATA[kml,centroid,length,coordinate,area,임업진흥원,산림,kofpi,면적,길이,중심점,좌표계]]></tags>
        <downloads>31811</downloads>
        <average_vote>4.791467022207407</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WaterNetAnalyzer" version="2.1.1" plugin_id="1792">
        <description><![CDATA[Generate water network, get flow path upstream/downstream]]></description>
        <about><![CDATA[This plugin creates a network with one outlet from a line layer (shapefile). A warning is generated when circles are found in the network. You can use the tools to show the flow path upstream or downstream of a segment in the network and accumulate flow/loads along the flow path. An instructional video can be found here: https://www.youtube.com/watch?v=3GBr57evQPI  (thanks to  Hans van der Kwast). First versions of this plugin have been developed within the project PROSPER-RO, funded by BMBF, grant number 033L212. New features and bugfixes (since version 1.9) have been added within the project OSWeGe, funded by BMUV, grant number 67DAS263]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Jannik-Schilling/WaterNetAnalyzer]]></homepage>
        <file_name>WaterNetAnalyzer-master.2.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_cj6sxPI.png</icon>
        <author_name><![CDATA[Jannik Schilling]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/WaterNetAnalyzer-master/version/2.1.1/download/</download_url>
        <uploaded_by><![CDATA[jannikschilling]]></uploaded_by>
        <create_date>2019-08-20T13:54:20.519633+00:00</create_date>
        <update_date>2025-06-17T11:43:38.538508+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Jannik-Schilling/WaterNetAnalyzer/issues]]></tracker>
        <repository><![CDATA[https://github.com/Jannik-Schilling/WaterNetAnalyzer]]></repository>
        <tags><![CDATA[load,flow,network,water,catchment,river,net]]></tags>
        <downloads>41812</downloads>
        <average_vote>4.725397541224682</average_vote>
        <rating_votes>51</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LandXML2QGIS" version="0.3.21" plugin_id="1794">
        <description><![CDATA[Import Vic LandXML into QGIS temp layers]]></description>
        <about><![CDATA[This plugin converts Victorian land xml files to temp layers in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jameslevershadelwp/landxml2qgis-public]]></homepage>
        <file_name>landxml2qgis.0.3.21.zip</file_name>
        <icon>/media/packages/2023/icon_Ill42CP.png</icon>
        <author_name><![CDATA[James Leversha, Department of Environment, Land, Water and Planning]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/landxml2qgis/version/0.3.21/download/</download_url>
        <uploaded_by><![CDATA[jameskleversha]]></uploaded_by>
        <create_date>2019-08-22T05:57:19.506136+00:00</create_date>
        <update_date>2023-08-10T23:58:12.379301+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jameslevershadelwp/landxml2qgis-public/issues]]></tracker>
        <repository><![CDATA[https://github.com/jameslevershadelwp/landxml2qgis-public.git]]></repository>
        <tags><![CDATA[python,australia,landxml,victoria]]></tags>
        <downloads>30206</downloads>
        <average_vote>4.157675911794116</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Get Them Filtered" version="0.2.0" plugin_id="1803">
        <description><![CDATA[Quickly filter a given layer by the unique values from a field.]]></description>
        <about><![CDATA[Recursively filter a given layer by its values.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.xl-optim.com/get-them-filtered]]></homepage>
        <file_name>getthemfiltered.0.2.0.zip</file_name>
        <icon>/media/packages/2023/icon_W06Fvkm.svg</icon>
        <author_name><![CDATA[Pedro Camargo, Evan Derickson]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/getthemfiltered/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[pcamargo]]></uploaded_by>
        <create_date>2019-08-30T11:26:00.034162+00:00</create_date>
        <update_date>2023-08-06T22:34:48.140998+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pedrocamargo/getthemfiltered/issues]]></tracker>
        <repository><![CDATA[https://github.com/pedrocamargo/getthemfiltered]]></repository>
        <tags><![CDATA[layer,atlas,filter,unique values,automatic,navigate]]></tags>
        <downloads>10536</downloads>
        <average_vote>4.24946881639795</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Simple WCS 2" version="0.3" plugin_id="1804">
        <description><![CDATA[Provides basic support for OGC WCS 2.X and tiff format]]></description>
        <about><![CDATA[Receive tiff files from OGC Web Coverage Services (v2.X) based on your map view. Designed to access certain german official geodata, e.g. digital aerial photographs.
What it supports: WCS 2.X Core, CRS-Extension, Protocol-Binding KVP, Geo-TIFF
What it doesn&#x27;t support: Time series, scaling, gml cov, other extensions...

Die Entwicklung der Version 0.3 dieses Plugins durch die WhereGroup wurde von der Hessischen Verwaltung für Bodenmanagement und Geoinformation (HVBG) initialisiert und finanziert.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geobasis-bb.de/]]></homepage>
        <file_name>simplewcs2.0.3.zip</file_name>
        <icon>/media/packages/2024/icon_hXQzMDV.png</icon>
        <author_name><![CDATA[Landesvermessung und Geobasisinformation Brandenburg (Marcus Mohr), WhereGroup GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/simplewcs2/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[marcusmohr]]></uploaded_by>
        <create_date>2019-08-31T18:47:38.349526+00:00</create_date>
        <update_date>2024-10-25T11:28:12.621170+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcusmohr/simplewcs2/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcusmohr/simplewcs2]]></repository>
        <tags><![CDATA[orthophotos,wcs,ogc,tiff,aerial,geotiff,dop,web coverage service,wcs 2,dgm]]></tags>
        <downloads>4306</downloads>
        <average_vote>4.4541405326788475</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="radolan2map" version="1.8" plugin_id="1811">
        <description><![CDATA[Brings DWD precipitation products like RADOLAN, RADKLIM and REGNIE onto a map]]></description>
        <about><![CDATA[This QGIS plugin brings precipitation radar data from German Meteorological Service (DWD, https://www.dwd.de) in RADOLAN/RADKLIM binary format in any grid dimension as well as REGNIE on a map
You also can **add** up RADOLAN data!
Applications: hydrometeorological and agricultural analyses.

RADOLAN overview: https://dwd.de/RADOLAN
RADOLAN data (recent): https://opendata.dwd.de/climate_environment/CDC/grids_germany/hourly/radolan/recent/bin
RADKLIM data (radar climatology): https://opendata.dwd.de/climate_environment/CDC/grids_germany/hourly/radolan/reproc/2017_002/bin
Radar products on DWD Open Data: https://opendata.dwd.de/weather/radar/composit/

A RADOLAN-RW-testfile (gzipped binary) is included in directory &#x27;example/sample_file/&#x27;.

The plugin was successfully tested with
- QGIS 3.18 on Windows 10
- QGIS 3.36 Linux openSUSE Tumbleweed

Please restart QGIS after updating the plugin!

Code Repository: &lt;a href=&quot;https://github.com/Weathermann/radolan2map&quot;&gt;https://github.com/Weathermann/radolan2map&lt;/a&gt;

More info about installation/usage: &lt;a href=&quot;https://gitlab.com/Weatherman_/radolan2map/wikis/home&quot;&gt;https://gitlab.com/Weatherman_/radolan2map/wikis/home&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/Weatherman_/radolan2map/wikis/home]]></homepage>
        <file_name>radolan2map.1.8.zip</file_name>
        <icon>/media/packages/2024/icon_PgK5yVw.png</icon>
        <author_name><![CDATA[Weatherman]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/radolan2map/version/1.8/download/</download_url>
        <uploaded_by><![CDATA[weatherman]]></uploaded_by>
        <create_date>2019-09-02T19:27:25.826585+00:00</create_date>
        <update_date>2024-04-21T19:28:52.871776+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Weathermann/radolan2map/issues]]></tracker>
        <repository><![CDATA[https://github.com/Weathermann/radolan2map]]></repository>
        <tags><![CDATA[raster,radar,radolan,radklim,dwd,precipitation,qpe,regnie]]></tags>
        <downloads>8400</downloads>
        <average_vote>4.473448765854428</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapBiomas Collection" version="1.4" plugin_id="1812">
        <description><![CDATA[This plugin lets you add the anual land use and land cover maps from the MapBiomas Project (http://mapbiomas.org/) as a collection of WMS layer.]]></description>
        <about><![CDATA[This plugin adds Mapbiomas annual land use land cover maps as WMS layers.
The plugin is developed in collaboration with Solved[1]
[1] https://solved.eco.br]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/mapbiomascollection/wiki]]></homepage>
        <file_name>mapbiomascollection.1.4.zip</file_name>
        <icon>/media/packages/2021/mapbiomas_6qQjoZA.svg</icon>
        <author_name><![CDATA[Luiz Motta and Luiz Cortinhas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapbiomascollection/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2019-09-05T14:25:12.388266+00:00</create_date>
        <update_date>2021-11-19T17:29:26.841242+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/mapbiomascollection/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/mapbiomascollection]]></repository>
        <tags><![CDATA[mapbiomas,solved]]></tags>
        <downloads>81866</downloads>
        <average_vote>4.428444901574241</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geometric Attributes" version="0.4" plugin_id="1813">
        <description><![CDATA[A set of tools for calculating attributes along the centerline including width, deviation, transects, shape, sinuosity and adjacency.]]></description>
        <about><![CDATA[Citation - Nyberg, B., Buckley, S.J., Howell, J.A., Nanson, R.A., (2015). Geometric attribute and shape characterization of modern depositional elements: A quantitative GIS method for empirical analysis, Computers &amp; Geosciences, Vo. 82, 2015, p. 191-204.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BjornNyberg/Geometric-Attributes-Toolbox/wiki]]></homepage>
        <file_name>geometric_attributes.0.4.zip</file_name>
        <icon>/media/packages/2019/icon.jpg</icon>
        <author_name><![CDATA[Bjorn Nyberg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geometric_attributes/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[bjebn]]></uploaded_by>
        <create_date>2019-09-05T15:20:16.860886+00:00</create_date>
        <update_date>2023-05-02T19:25:08.581030+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BjornNyberg/Geometric-Attributes-Toolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/BjornNyberg/Geometric-Attributes-Toolbox/tree/master/geometric_attributes]]></repository>
        <tags><![CDATA[distance,merge,width,shape,topology,roads,skeleton,skeletonize,deviation,centerline,medial axis,threshold,clusters,adjacency,geometric attributes,sinuosity,transect,centreline,thresholding,perpendicular,rivers,line sampling,sam,segment anything model]]></tags>
        <downloads>57607</downloads>
        <average_vote>4.124914064290327</average_vote>
        <rating_votes>48</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Snail" version="1.0.1" plugin_id="1814">
        <description><![CDATA[Performance Monitoring]]></description>
        <about><![CDATA[Monitors RAM and CPU.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pblottiere/snail]]></homepage>
        <file_name>snail.1.0.1.zip</file_name>
        <icon>/media/packages/2019/snail.png</icon>
        <author_name><![CDATA[Paul Blottiere]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/snail/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[pblottiere]]></uploaded_by>
        <create_date>2019-09-05T20:42:13.088189+00:00</create_date>
        <update_date>2019-09-13T20:35:40.345192+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pblottiere/snail/issues]]></tracker>
        <repository><![CDATA[https://github.com/pblottiere/snail]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2525</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NetworkGT" version="1.0" plugin_id="1816">
        <description><![CDATA[NetworkGT (Network Geometry and Topology) Toolbox is a set of tools designed for the geometric and topological analysis of fracture networks.]]></description>
        <about><![CDATA[Citation - Nyberg, B., Nixon, C.W., Sanderson, D.J., 2018, NetworkGT: A GIS tool for geometric and topological analyses of two-dimensional fracture networks. Geosphere, v. 14, no. 4, doi:10.1130/GES01595.1.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BjornNyberg/NetworkGT/wiki]]></homepage>
        <file_name>network_gt.1.0.zip</file_name>
        <icon>/media/packages/2019/icon_93rmbqt.jpg</icon>
        <author_name><![CDATA[Bjorn Nyberg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/network_gt/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[bjebn]]></uploaded_by>
        <create_date>2019-09-06T14:37:02.824598+00:00</create_date>
        <update_date>2020-11-17T17:05:02.694395+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BjornNyberg/NetworkGT/issues]]></tracker>
        <repository><![CDATA[https://github.com/BjornNyberg/NetworkGT/tree/master/QGIS/network_gt]]></repository>
        <tags><![CDATA[flow,geometry,topology,histogram,snap,skeleton,rose diagram,permeability,nodes,clusters,branches,distribution analyses,fracture networks,sets,blocks,contour grids,line frequency,aperture,repair,shortest pathway,tortuosity,percolation]]></tags>
        <downloads>22302</downloads>
        <average_vote>4.464126281204242</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RasterTool" version="0.2" plugin_id="1820">
        <description><![CDATA[Extract Pixel value from raster files (.tif) into a CSV file and convert input Raster file to point shapefile and create 3D plot of input raster data.]]></description>
        <about><![CDATA[Extract pixel value from input raster data and plot 3D Graphs]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/aishwaryahegde29/RasterTool_Qgis]]></homepage>
        <file_name>rastertool.0.2.zip</file_name>
        <icon>/media/packages/2019/icon_RZ9FJdT.png</icon>
        <author_name><![CDATA[Aishwarya Hegde A,Pruthviraj Umesh,Amba Shetty]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rastertool/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[aishwarya25]]></uploaded_by>
        <create_date>2019-09-07T08:06:00.820532+00:00</create_date>
        <update_date>2019-10-21T10:33:02.696429+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aishwaryahegde29/RasterTool_Qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/aishwaryahegde29/RasterTool_Qgis]]></repository>
        <tags><![CDATA[python,raster,csvformat,attributetable,rastertopoint,3dplot]]></tags>
        <downloads>82952</downloads>
        <average_vote>3.2499187520311996</average_vote>
        <rating_votes>40</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ODKTrace2WKT" version="0.1" plugin_id="1822">
        <description><![CDATA[This plugin converts ODK geotraces to Well-Known Text]]></description>
        <about><![CDATA[Converts geotraces from ODK to Well-Known Text, Takes a CSV file containing line strings from an OpenDataKit Geotrace, which consist of a series of text coordinates, and returns a similar CSV file with properly formatted Well-Known Text (WKT) linestrings (and points). Funded by Ramani Huria, developed by Samweli Mwakisambwe]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ResilientDar/odktrace2wkt]]></homepage>
        <file_name>odktrace2wkt.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_tq29Kvm.png</icon>
        <author_name><![CDATA[Samweli Mwakisambwe]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/odktrace2wkt/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[samtwesa]]></uploaded_by>
        <create_date>2019-09-10T04:58:28.755752+00:00</create_date>
        <update_date>2019-09-10T04:58:30.183687+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ResilientDar/odktrace2wkt/issues]]></tracker>
        <repository><![CDATA[https://github.com/ResilientDar/odktrace2wkt]]></repository>
        <tags><![CDATA[wkt,csv,delimitation]]></tags>
        <downloads>10950</downloads>
        <average_vote>3.6664222385174323</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Danish Address Tools" version="0.1" plugin_id="1824">
        <description><![CDATA[This plugin provides tools to work with Danish addresses within the QGIS processing framework.]]></description>
        <about><![CDATA[This plugin provides tools to work with Danish addresses within the QGIS processing framework. For now there is one tool: Geocoding using DAWA. The plugin is developed and maintained by Septima.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Septima/qgis-addresstoolsdk]]></homepage>
        <file_name>AddressToolsDK.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Septima]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AddressToolsDK/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[asgerpetersen]]></uploaded_by>
        <create_date>2019-09-13T08:56:27.254753+00:00</create_date>
        <update_date>2019-09-13T08:56:29.064683+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Septima/qgis-addresstoolsdk/issues]]></tracker>
        <repository><![CDATA[https://github.com/Septima/qgis-addresstoolsdk]]></repository>
        <tags><![CDATA[geocoding,adresse,danmark,geokodning,geokod,geokode,dawa,danske,adresser,adressevask,geokoder]]></tags>
        <downloads>6086</downloads>
        <average_vote>4.142265390658477</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CDU Creator" version="1.3.3" plugin_id="1840">
        <description><![CDATA[This plugin creates the .pdf file of CDU (Certificato di Destinazione Urbanistica).]]></description>
        <about><![CDATA[--- English ---
CDU Creator generates the *Certificato di Destinazione Urbanistica (CDU)* in PDF format.
The plugin intersects the selected cadastral parcel with the layers of the urban plan,
extracting the related attributes and including them in the final report.

The resulting PDF contains all relevant planning information for the chosen parcel.
The document can be customized with a logo, a title, and additional text
(e.g. introduction, legislative references, notes).

The plugin is written in Italian, as it refers to national regulations on urban planning.
User manual (IT): https://manuale-cdu-creator.readthedocs.io/it/latest/

Version 1.0 was made possible thanks to donations from supporters of the project.

--- Italiano ---
CDU Creator compila il *Certificato di Destinazione Urbanistica (CDU)* in formato PDF.
Il plugin interseca la particella catastale selezionata con i layer dello strumento urbanistico,
recuperando le informazioni dai relativi attributi e riportandole nel documento finale.

Il PDF risultante contiene tutte le informazioni urbanistiche relative alla particella.
Il documento può essere personalizzato aggiungendo logo, titolo e un paragrafo di testo
(es. riferimenti normativi, note introduttive, ecc.).

Il plugin è stato sviluppato in lingua italiana poiché si riferisce a normative nazionali
in materia di urbanistica.
Manuale utente: https://manuale-cdu-creator.readthedocs.io/it/latest/

La versione 1.0 del plugin è stata sviluppata grazie al contributo dei sostenitori:

- Comune di Torralba (SS) — https://www.comune.torralba.ss.it/
- Associazione GFOSS — https://gfoss.it/
- Lorenzo Benvenuto, Enrico Bertonati, Antonio Cacosso, Stefano Campus
- Geol. Sabrina Casucci (studio GEASIT) — http://www.geasit.it/
- Stefano Chiappini, Paolo Corradeghini — https://3dmetrica.it/
- Federico Cortese, Giovanni D’Alessio, Ing. Gianfranco Di Pietro — https://gianfrancodp.github.io
- e42.it Cartography website Roma — http://www.e42.it/
- Amedeo Fadini, Giulio Fattori, Maria Federici, Salvatore Fiandaca — https://pigrecoinfinito.wordpress.com/
- Massimo Figaroli (libero professionista) — http://www.massimofigaroli.it/
- Federico Gianoli, GPSBRIANZA — https://gpsbrianza.com/
- Alberto Grava, Giampaolo Grosso, Massimiliano Intorbida
- Marco Lombardi — http://www.uta-studio.it/
- Massimiliano Moraca — https://www.massimilianomoraca.it/
- Francesco Paolicelli, Gianni Petino, Antonangelo Piu
- PROFESSIONAL GEOSPATIAL SERVICES RIPROGEO di Gagna Andrea — https://www.facebook.com/RIPROGEO/
- Luigi Scarpa, Pino Scioli, Mauro Silvia
- Antonio Soriano (Global Mapper Italia, Geographic Information Manager di Idea Computer, Sistemi e Servizi Snc) — https://www.globalmapper.it/
- Studio di Topografia Applicata Foderà — http://www.studiotopografia.it/
- Studio Tecnico DALTAS — https://www.geodaltas.it/
- Giuliano Urgeghe, Geom. Valentino Valentini — http://www.comune.gallese.vt.it/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gtergeomatica/cdu_creator]]></homepage>
        <file_name>cdu_creator-master.1.3.3.zip</file_name>
        <icon>/media/packages/2026/icon_UDyKs39.png</icon>
        <author_name><![CDATA[Roberta Fagandini (Gter srl) - Roberto Marzocchi (Gter srl)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cdu_creator-master/version/1.3.3/download/</download_url>
        <uploaded_by><![CDATA[coki96]]></uploaded_by>
        <create_date>2019-10-01T09:47:03.831325+00:00</create_date>
        <update_date>2026-02-23T11:51:42.993526+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gtergeomatica/cdu_creator/issues]]></tracker>
        <repository><![CDATA[https://github.com/gtergeomatica/cdu_creator]]></repository>
        <tags><![CDATA[catasto,pdf,cdu_creator,cdu,urbanistica]]></tags>
        <downloads>12140</downloads>
        <average_vote>3.99966669444213</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapBiomas Alert" version="1.3" plugin_id="1843">
        <description><![CDATA[This plugin lets you get alert from MapBiomas Project(http://alerta.mapbiomas.org/).]]></description>
        <about><![CDATA[This plugin lets you get alert from MapBiomas Project(http://alerta.mapbiomas.org/).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/mapbiomasalert/wiki]]></homepage>
        <file_name>mapbiomasalert.1.3.zip</file_name>
        <icon>/media/packages/2022/mapbiomas_alert.png</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapbiomasalert/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2019-10-03T19:51:41.858127+00:00</create_date>
        <update_date>2022-04-11T19:33:36.926818+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/mapbiomasalert/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/mapbiomasalert]]></repository>
        <tags><![CDATA[mapbiomas,alert]]></tags>
        <downloads>10973</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="French Locator Filter" version="1.5.0" plugin_id="1846">
        <description><![CDATA[Adds a Locator Filter (search bar) and processing algorithms to use geocoding services like the national French open address and the Photon OpenStreetMap APIs.]]></description>
        <about><![CDATA[The French geo.api is an open Geocoder service provided by French Government.
A Locator Filter implements the fetching of data from internal or external sources.
This plugin is forked from the work of Richard Duivenvoorde. Kudos Richard
Read more: &lt;a href=&quot;http://www.qgis.nl/2018/05/16/english-coding-a-qgslocator-plugin/?lang=en&quot;&gt;http://www.qgis.nl/2018/05/16/english-coding-a-qgslocator-plugin&lt;/a&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.4</qgis_minimum_version>
        <qgis_maximum_version>4.10.20</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/french_locator_filter/]]></homepage>
        <file_name>french_locator_filter.1.5.0.zip</file_name>
        <icon>/media/packages/2026/icon_IhYiEbJ.svg</icon>
        <author_name><![CDATA[Régis Haubourg (Oslandia), Richard Duivenvoorde, Zuidt, Julien Moura (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/french_locator_filter/version/1.5.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2019-10-08T21:01:53.597828+00:00</create_date>
        <update_date>2026-03-09T09:18:47.650042+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/french_locator_filter/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/french_locator_filter/]]></repository>
        <tags><![CDATA[filter,address,bano,open data,geocoder,france,locator,ban,addok,french,ign,geoplateforme,photon]]></tags>
        <downloads>88379</downloads>
        <average_vote>4.621496716304965</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="raster2postgis" version="1.3" plugin_id="1848">
        <description><![CDATA[Import raster to postgis]]></description>
        <about><![CDATA[This plugin uploads a raster to a Postgresql server. The raster is added to the database on the server side using Postgis raster2pgsql utility. Only works if the server has the raster2pgsql utility installed. You have to install Python unidecode module before installing this plugin. Detailed instructions on the plugin home page.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/geomaster/raster2postgis]]></homepage>
        <file_name>raster2postgis.1.3.zip</file_name>
        <icon>/media/packages/2019/icon_bHD3zkY.png</icon>
        <author_name><![CDATA[Geomaster]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raster2postgis/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[jgrocha]]></uploaded_by>
        <create_date>2019-10-10T09:05:10.900716+00:00</create_date>
        <update_date>2026-01-19T23:44:45.520284+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/geomaster/raster2postgis/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geomaster/raster2postgis]]></repository>
        <tags><![CDATA[raster,postgis,database,postgresql,raster2pgsql]]></tags>
        <downloads>9269</downloads>
        <average_vote>4.130255206295378</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SoLocator" version="2.0.0" plugin_id="1850">
        <description><![CDATA[Suche für Örtlichkeiten und Geodaten Kanton Solothurn | Locator search plugin for places and geo data of Canton Solothurn.]]></description>
        <about><![CDATA[Integration in die QGIS Suche für die Geodateninfrastruktur im Kanton Solothurn. Über dieses Plugin können Layer, Flurnamen, Adressen und andere Objekte im Kanton Solothurn gesucht und lokalisiert werden.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/solocator]]></homepage>
        <file_name>solocator.2.0.0.zip</file_name>
        <icon>/media/packages/2025/solocator_bswNhyR.png</icon>
        <author_name><![CDATA[Denis Rouzaud, OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/solocator/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2019-10-11T12:22:49.411055+00:00</create_date>
        <update_date>2025-11-21T07:35:27.000524+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/solocator/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/solocator]]></repository>
        <tags><![CDATA[locator,schweiz,soleure,solothurn]]></tags>
        <downloads>11185</downloads>
        <average_vote>3.999333444425929</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RUIAN Plugin" version="1.2.2" plugin_id="1851">
        <description><![CDATA[Stažení a import dat RÚIAN&lt;br&gt;&lt;br&gt;Download and import Czech RUIAN data]]></description>
        <about><![CDATA[Nástroj umožňuje stahovat a importovat data registru RÚIAN do vybraných GIS formatů a následně s nimi pracovat.&lt;br&gt;&lt;br&gt;This plugin allows downloding and importing data from Czech RUIAN data into selected GIS data formats.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ctu-geoforall-lab.github.io/qgis-ruian-plugin]]></homepage>
        <file_name>qgis-ruian-plugin.1.2.2.zip</file_name>
        <icon>/media/packages/2025/icon_laSvasF.png</icon>
        <author_name><![CDATA[Jan Klima, Lukas Streda, Simon Gajzler, Lukas Kettner, Martin Landa (GeoForAll Lab)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-ruian-plugin/version/1.2.2/download/</download_url>
        <uploaded_by><![CDATA[martinl]]></uploaded_by>
        <create_date>2019-10-12T15:00:56.000867+00:00</create_date>
        <update_date>2025-04-20T17:39:51.789907+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ctu-geoforall-lab/qgis-ruian-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ctu-geoforall-lab/qgis-ruian-plugin]]></repository>
        <tags><![CDATA[ruian,vdp,vfr]]></tags>
        <downloads>10732</downloads>
        <average_vote>3.7271033134857503</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Stripchartdrawer" version="1.0" plugin_id="1860">
        <description><![CDATA[Drawing a stripchart for a selected value from a dataset.]]></description>
        <about><![CDATA[Draws a stripchart for a value from a layer.
Shows selected data and can be used to select data.
The plot will be sorted on the (first field of the) primary key of the data set. If the dataset has no primary key, the data will be plotted, sorted on &quot;id&quot; if that field exists, it may not be possible to select data in the stripchart in this case.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/qgisstripchart/]]></homepage>
        <file_name>stripchart.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_BiEEAAR.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/stripchart/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2019-10-21T08:10:23.893076+00:00</create_date>
        <update_date>2024-01-31T20:43:07.805245+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/qgisstripchart/]]></tracker>
        <repository><![CDATA[https://github.com/sickel/qgisstripchart/]]></repository>
        <tags><![CDATA[timeseries,stripchart,radioactivity,gamma]]></tags>
        <downloads>5592</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Przechwyć Wysokość GUGiK NMT API" version="1.4.3" plugin_id="1861">
        <description><![CDATA[Pozwala na sprawdzenie wysokości terenu w danym punkcie na podstawie API GUGiK NMT. EN: Allows user to check elevation level of the terrain (Poland only) based on GUGiK&#x27;s NMT service]]></description>
        <about><![CDATA[Wtyczka pozwala na przechwycenie wysokości terenu w dowolnym punkcie na obszarze Polski. Wtyczka korzysta z usługi NMT udostępnionej przez GUGiK.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://envirosolutions.pl/wtyczki-qgis/nmt-gugik]]></homepage>
        <file_name>nmt_gugik.1.4.3.zip</file_name>
        <icon>/media/packages/2026/icon_pw_FPL0naC.svg</icon>
        <author_name><![CDATA[EnviroSolutions Sp. z o.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nmt_gugik/version/1.4.3/download/</download_url>
        <uploaded_by><![CDATA[envirosolutions]]></uploaded_by>
        <create_date>2019-10-21T14:45:14.729773+00:00</create_date>
        <update_date>2026-04-16T08:26:29.251629+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/envirosolutionspl/nmt_gugik/issues]]></tracker>
        <repository><![CDATA[https://github.com/envirosolutionspl/nmt_gugik]]></repository>
        <tags><![CDATA[python,dem,level,gugik,nmt,wysokość,envirosolutions,wysokości,poziom]]></tags>
        <downloads>23423</downloads>
        <average_vote>4.32244121157382</average_vote>
        <rating_votes>31</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoCat Bridge" version="4.6.1" plugin_id="1864">
        <description><![CDATA[Easy publication of data and metadata from QGIS.]]></description>
        <about><![CDATA[GeoCat is pleased to offer its Bridge plugin to the QGIS community.

GeoCat Bridge offers a one-click publishing experience for QGIS Desktop. Create great looking maps and publish them to GeoServer or MapServer, or share its metadata via the GeoNetwork metadata catalog.
Your data is uploaded as a GeoPackage, Shapefile, or imported into a PostGIS database. Bridge will automatically convert your QGIS styles into the destination format (SLD, Mapfile, etc.).

&lt;b&gt;Notes&lt;/b&gt;
- If you wish to publish metadata, QGIS 3.22+ may require you to install the &#x27;lxml&#x27; python package.
- &lt;i&gt;Bridge for QGIS&lt;/i&gt; versioning starts at v4.0. There are no official releases prior to v4.x.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geocat.net/bridge]]></homepage>
        <file_name>geocatbridge.4.6.1.zip</file_name>
        <icon>/media/packages/2024/geocat_JIje8m7.png</icon>
        <author_name><![CDATA[GeoCat bv]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocatbridge/version/4.6.1/download/</download_url>
        <uploaded_by><![CDATA[geocat]]></uploaded_by>
        <create_date>2019-10-24T14:07:26.061671+00:00</create_date>
        <update_date>2026-03-24T15:37:17.709487+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoCat/qgis-bridge-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoCat/qgis-bridge-plugin]]></repository>
        <tags><![CDATA[postgis,style,mapserver,metadata,sld,geoserver,sdi,cartography,geopackage,mapbox,geonetwork,iso19139,geostyler,sharing,symbology,publishing]]></tags>
        <downloads>51672</downloads>
        <average_vote>4.28326194563424</average_vote>
        <rating_votes>60</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spectre Viewer" version="1.35" plugin_id="1865">
        <description><![CDATA[View spectra stored in a geodataset.]]></description>
        <about><![CDATA[The plugin is for plotting georeferenced spectral data, e.g. from carborne or aerial gamma surveys. The spectre must be stored in an array, either as a postgres array datafield or as a comma separated string with an integer for each channel. In the plugin, select the the data set and in which field the spectra are stored. When features in the dataset are selected, the integrated spectra over these features will be displayed. Click in spectra to read values. Use arrow keys to move, esc to remove the reader line. Spectre values can be copied and pasted as a comma separated string of integers. The spectra can be saved as an image.
&lt;b&gt;Peak detection&lt;/b&gt;
The plugin will detect peaks in the spectrum. A linear calibration can be set up from channel numbers to energy. The peaks will be listed and each peak can be assigned a value calculate a new calibration. Check &quot;use&quot; to apply the calculated calibration. If a peak corresponds to a known nuclide, the nuclide will be indicated. (The nuclide information is stored in gammas.yml in the plugin directory, any updates to this file will be overwritten when the plugin is updated)
&lt;b&gt;Other plugins&lt;/b&gt;
There are three other plugins that are made to be used together with this plugin:
* Spectral data loader: Reads in .spe files or an ascii file exported from RSI software and stores the data in a suitable format for the spectre viewer. It should not be too hard to extend this for other text based spectral formats. Contact the author if that should be needed.
* Stripchartdrawer: Draws a strip chart of one of the numeric values from a data set. Makes it possible to select e.g. points with high dose rates
* Altitudeconverter: To estimate the parameters to calculate ground bases values from airborne gamma surveys.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/qgisSpectre]]></homepage>
        <file_name>qgisSpectre.1.35.zip</file_name>
        <icon>/media/packages/2024/icon_XWLnRfh.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisSpectre/version/1.35/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2019-10-25T20:24:57.909776+00:00</create_date>
        <update_date>2024-11-21T12:53:50.438457+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/qgisSpectre/issues]]></tracker>
        <repository><![CDATA[https://github.com/sickel/qgisSpectre]]></repository>
        <tags><![CDATA[gamma monitoring,spectrometry,radiation]]></tags>
        <downloads>9568</downloads>
        <average_vote>3.999333444425929</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vector field layer manager" version="1.1.1" plugin_id="1869">
        <description><![CDATA[Draw a point layer with arrow symbols]]></description>
        <about><![CDATA[Provides a capability  a point layer with arrows representing vectors.  The
size and orientation of the arrow is data defined.  Typically this
would be used to represent movement, fluid flow or ground deformation
for example.  The plugin can also draw an ellipse representing the
error covariance of the vector.  The scale of the arrows can be easily
changed using buttons on the toolbar.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/ccrook/QGIS-VectorFieldRenderer-Plugin]]></homepage>
        <file_name>VectorFieldLayerManager.1.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Chris Crook]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VectorFieldLayerManager/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[ccrook]]></uploaded_by>
        <create_date>2019-10-28T21:21:20.535962+00:00</create_date>
        <update_date>2024-04-21T20:29:34.654781+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ccrook/QGIS-VectorFieldRenderer-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ccrook/QGIS-VectorFieldRenderer-Plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>20138</downloads>
        <average_vote>3.9995556049327856</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Oblicz wysokość (GUGiK NMT)" version="0.7" plugin_id="1871">
        <description><![CDATA[Oblicza wysokość punktów i spadek terenu na podstawie API GUGiK. EN: Only for Polish users - allows calculating the height using the GUGiK API. The service coverage area is available only within the administrative borders of Poland.]]></description>
        <about><![CDATA[PL:
Wtyczka dzięki API udostępnionemu przez GUGiK umożliwi:
- dodanie punktów z obliczoną wysokością do warstwy tymczasowej
- skopiowanie obliczonych wysokości wraz z X, Y do schowka
- obliczenie spadków terenu
EN:
The plug-in with API provided by GUGiK will allow:
- adding points with the calculated height to the temporary layer
- copy the calculated heights together with X, Y to the clipboard
- calculation of slopes
The service coverage area is available only within the administrative borders of Poland.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/abocianowski/ObliczWysokosc]]></homepage>
        <file_name>ObliczWysokosc.0.7.zip</file_name>
        <icon>/media/packages/2019/cardinal-points_L3og6dT.svg</icon>
        <author_name><![CDATA[Adrian Bocianowski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ObliczWysokosc/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[abocianowski]]></uploaded_by>
        <create_date>2019-10-31T10:11:56.693379+00:00</create_date>
        <update_date>2025-08-07T18:54:09.396389+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/abocianowski/ObliczWysokosc/issues]]></tracker>
        <repository><![CDATA[https://github.com/abocianowski/ObliczWysokosc]]></repository>
        <tags><![CDATA[nmt gugik api wysokość z spadek terenu profil]]></tags>
        <downloads>13897</downloads>
        <average_vote>4.272338878283793</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Buienradar Plugin" version="1.4" plugin_id="1874">
        <description><![CDATA[A simple plugin that retrieves weather data from the Dutch Buienradar API. Currently only in Dutch.]]></description>
        <about><![CDATA[Een simpele plugin die Nederlandse weerdata van de buienradar API haalt en deze met tijdelijke puntsymbolen op de kaart toont. Ook kan een luchtfoto of een topografische ondergrond worden ingeladen. Een internetverbinding is noodzakelijk om deze plugin te gebruiken. De Buienradardata is vrij beschikbaar voor niet-commerciële doeleinden, bronvermelding is daarbij verplicht.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jeroenvanderzwam/buienradar]]></homepage>
        <file_name>buienradar_plugin.1.4.zip</file_name>
        <icon>/media/packages/2021/icon_yzdXNBm.png</icon>
        <author_name><![CDATA[Peter Schols &amp; Jeroen van der Zwam]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/buienradar_plugin/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[jeroenvanderzwam]]></uploaded_by>
        <create_date>2019-11-10T14:53:06.734902+00:00</create_date>
        <update_date>2021-12-12T11:00:28.121645+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jeroenvanderzwam/buienradar/issues]]></tracker>
        <repository><![CDATA[https://github.com/jeroenvanderzwam/buienradar]]></repository>
        <tags><![CDATA[python,web]]></tags>
        <downloads>4864</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ShLocator" version="v1.5" plugin_id="1875">
        <description><![CDATA[Suche für Geodaten Kanton Schaffhausen]]></description>
        <about><![CDATA[Integration in die QGIS Suche für die Geodateninfrastruktur im Kanton Schaffhausen. Über dieses Plugin können Adressen und andere Objekte im Kanton Schaffhausen gesucht und lokalisiert werden. This is a search provider for the canton Schaffhausen in Switzerland]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/shlocator]]></homepage>
        <file_name>shlocator.v1.5.zip</file_name>
        <icon>/media/packages/2026/shlocator.png</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shlocator/version/v1.5/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2019-11-11T09:01:50.214263+00:00</create_date>
        <update_date>2026-03-18T08:52:00.272291+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/shlocator/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/shlocator]]></repository>
        <tags><![CDATA[locator,schweiz,schaffhausen,suche]]></tags>
        <downloads>3178</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Generalizer3" version="1.0" plugin_id="1877">
        <description><![CDATA[Lines generalization and smoothing (partially based on v.generalize GRASS module)]]></description>
        <about><![CDATA[Plugin to Generalize, Simplify or Smooth lines in QGIS
Functions :
Remove small objects
Simplify :
Douglas-Peucker Algorithm
Jenk&#x27;s Algorithm
Lang Algorithm
Reumann-Witkam Algorithm
Vertex Reduction
Smooth :
Boyle&#x27;s Forward-Looking Algorithm
Chaiken&#x27;s Algorithm
Hermite Spline Interpolation
McMaster&#x27;s Distance-Weighting Algorithm
Distance Weighting
McMaster&#x27;s Sliding Averaging Algorithm
Snakes Algorithm : Slowest smoothing algorithm]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/giscan/Generalizer]]></homepage>
        <file_name>Generalizer3.1.0.zip</file_name>
        <icon>/media/packages/2020/icon_skUFh8q.png</icon>
        <author_name><![CDATA[Piotr Pociask, Matthew Petroff, Sylvain POULAIN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Generalizer3/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[sylvain]]></uploaded_by>
        <create_date>2019-11-11T14:18:35.937799+00:00</create_date>
        <update_date>2020-11-18T14:07:13.692801+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/giscan/Generalizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/giscan/Generalizer]]></repository>
        <tags><![CDATA[vector,line,simplify,smooth]]></tags>
        <downloads>64441</downloads>
        <average_vote>3.8212920967108315</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GPI_Import" version="0.5" plugin_id="1882">
        <description><![CDATA[Import SurvCE RW5 files from raw data temporary into  QGIS]]></description>
        <about><![CDATA[Import RW5 RAW Survey Files to QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Amphibitus/gpi_import]]></homepage>
        <file_name>gpi_import.0.5.zip</file_name>
        <icon>/media/packages/2023/icon_1nfPA2H.png</icon>
        <author_name><![CDATA[g3er geoplaning GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gpi_import/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[amphibitus]]></uploaded_by>
        <create_date>2019-11-18T17:20:52.043103+00:00</create_date>
        <update_date>2023-03-25T13:07:53.045209+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Amphibitus/gpi_import/issues]]></tracker>
        <repository><![CDATA[https://github.com/Amphibitus/gpi_Import]]></repository>
        <tags><![CDATA[python,import,survey,carlson,pointlayer,gpi,rw5,survpc,survce,raw]]></tags>
        <downloads>3834</downloads>
        <average_vote>2.9990003332222592</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NDOP Downloader" version="0.1.4" plugin_id="1884">
        <description><![CDATA[Stažení a import dat o výskytu druhů z NDOP AOPK. &lt;br&gt;&lt;br&gt; Download and import species occurence data from SOD NCA.]]></description>
        <about><![CDATA[NDOP Downloader allows download species occurence data from &lt;a href=&quot;https://portal.nature.cz/nd/&quot;&gt;The Species Occurrence Database NCA CR&lt;/a&gt; (Nature Conservation Agency of the Czech Republic). Localisation (.shp compressed in .zip) and table data (.csv) will be downloaded for found records. Table data will be imported as point layer according the columns with coordinates.

For using a databse is necessary &lt;a href=&quot;https://idm.nature.cz/idm/#/registration&quot;&gt;create account&lt;/a&gt; (free) in NCA information system.

NDOP Downloader slouží ke stahování dat o výskytu druhů z &lt;a href=&quot;https://portal.nature.cz/nd/&quot;&gt;Nálezové databáze AOPK&lt;/a&gt;. Pro všechny nalezené záznamy se stáhnou a importují dostupná data lokalizací (.shp komprimované v .zip) a tabulková data (.csv), ta se na základě uvedených souřadnic zobrazí jako bodová vrstva.

Pro použití je nutné &lt;a href=&quot;https://idm.nature.cz/idm/#/registration&quot;&gt;vytvořit účet&lt;/a&gt; (zdarma) v informačním systému AOPK - ISOP.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://opengeolabs.github.io/qgis-ndop-downloader/]]></homepage>
        <file_name>ndop_downloader.0.1.4.zip</file_name>
        <icon>/media/packages/2024/icon_MPtLNvw.png</icon>
        <author_name><![CDATA[Oto Kaláb]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ndop_downloader/version/0.1.4/download/</download_url>
        <uploaded_by><![CDATA[otokalab]]></uploaded_by>
        <create_date>2019-11-19T17:17:54.629662+00:00</create_date>
        <update_date>2024-06-14T09:18:11.066578+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenGeoLabs/qgis-ndop-downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenGeoLabs/qgis-ndop-downloader]]></repository>
        <tags><![CDATA[ecology,download,species occurrence]]></tags>
        <downloads>2281</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoAtlasQGIS" version="1.5" plugin_id="1887">
        <description><![CDATA[GeoAtlas Live, now in QGIS]]></description>
        <about><![CDATA[This plugin allows for the use of features found in GeoAtlas Live in QGIS. This includes making cross-sections of geological models, showing geological models for a given depth, and creating virtual borings. To use the plugin, you need a user for GeoAtlas Live. If you are interested in getting one, please contact us at data@geo.dk. If you have any feedback or find any bugs, please contact us.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://data.geo.dk/]]></homepage>
        <file_name>GeoAtlasQGIS.1.5.zip</file_name>
        <icon>/media/packages/2026/icon_BQOrCMe.png</icon>
        <author_name><![CDATA[Geo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoAtlasQGIS/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[geomfi]]></uploaded_by>
        <create_date>2019-11-21T10:55:06.649080+00:00</create_date>
        <update_date>2026-03-18T13:35:50.424801+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Geo-dk/GeoAtlasQGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Geo-dk/GeoAtlasQGIS]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>30709</downloads>
        <average_vote>4.743549200434184</average_vote>
        <rating_votes>117</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Radiotrack" version="0.12" plugin_id="1889">
        <description><![CDATA[Visualizes radiotracking data]]></description>
        <about><![CDATA[This plugin allows visualizing and processing telemetry data from a csv file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lccanon/Radiotrack]]></homepage>
        <file_name>Radiotrack.0.12.zip</file_name>
        <icon>/media/packages/2021/icon_KCIeBeI.png</icon>
        <author_name><![CDATA[Bello Fernando, Boisson Romain, Cabodi Alexis, Canon Louis-Claude, Jeannin Emile, Moyikoulou Chris-Féri, Wetzel Anthony]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Radiotrack/version/0.12/download/</download_url>
        <uploaded_by><![CDATA[lccanon]]></uploaded_by>
        <create_date>2019-11-22T17:24:37.098169+00:00</create_date>
        <update_date>2021-09-05T20:33:25.119467+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lccanon/Radiotrack/issues]]></tracker>
        <repository><![CDATA[https://github.com/lccanon/Radiotrack]]></repository>
        <tags><![CDATA[ecology,zoology,home range,animal movements]]></tags>
        <downloads>8862</downloads>
        <average_vote>3.9995000624921886</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="atlasprint" version="3.4.3" plugin_id="1893">
        <description><![CDATA[Add atlas capabilities for getPrint request in WMS for QGIS Server]]></description>
        <about><![CDATA[Add atlas capabilities for getPrint request in WMS for QGIS Server]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/3liz/qgis-atlasprint]]></homepage>
        <file_name>atlasprint.3.4.3.zip</file_name>
        <icon>/media/packages/2025/icon_T4sQpwW.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/atlasprint/version/3.4.3/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2019-11-27T13:44:29.699779+00:00</create_date>
        <update_date>2025-06-13T12:46:29.500675+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/qgis-atlasprint/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/qgis-atlasprint]]></repository>
        <tags><![CDATA[atlas,server,print]]></tags>
        <downloads>38005</downloads>
        <average_vote>3.624773451659271</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>True</server>
    </pyqgis_plugin><pyqgis_plugin name="Google Earth Engine" version="0.1.7" plugin_id="1901">
        <description><![CDATA[Integrates QGIS with Google Earth Engine]]></description>
        <about><![CDATA[Integrates Google Earth Engine (GEE) by wrapping GEE Python API.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gee-community.github.io/qgis-earthengine-plugin/]]></homepage>
        <file_name>ee_plugin.0.1.7.zip</file_name>
        <icon>/media/packages/2026/earth-engine.svg</icon>
        <author_name><![CDATA[Gennadii Donchyts, Xavier C. Llano, Fedor Baart, Zac Deziel, Anthony Lukach]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ee_plugin/version/0.1.7/download/</download_url>
        <uploaded_by><![CDATA[gena]]></uploaded_by>
        <create_date>2019-12-02T19:03:26.082653+00:00</create_date>
        <update_date>2026-01-10T14:50:09.966675+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gee-community/qgis-earthengine-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/gee-community/qgis-earthengine-plugin]]></repository>
        <tags><![CDATA[raster,analysis,landsat,cloud,statistics,google,dem,land cover,geometry,topography,remote sensing,processing,webservice,geojson,gee]]></tags>
        <downloads>998500</downloads>
        <average_vote>4.300256567676763</average_vote>
        <rating_votes>373</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Planet_Explorer" version="2.3.6" plugin_id="1904">
        <description><![CDATA[The Planet Plugin enables QGIS users to quickly discover, stream, and download Planet imagery and Planet Basemaps. The plug-in provides an imagery discovery interface that allows users to search for, stream, and download Planet imagery within QGIS.&lt;br&gt;&lt;br&gt;Full documentation for the Plugin is available &lt;a href=&quot;https://developers.planet.com/docs/integrations/qgis/&quot;&gt;here&lt;/a&gt;.]]></description>
        <about><![CDATA[Planet Explorer accesses the Planet imagery catalog archive. PYTHON 3.6 MINIMUM REQUIRED]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://developers.planet.com/docs/integrations/qgis/]]></homepage>
        <file_name>planet_explorer.2.3.6.zip</file_name>
        <icon>/media/packages/2026/planet-logo-p_X9QtwxK.png</icon>
        <author_name><![CDATA[Planet Inc]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/planet_explorer/version/2.3.6/download/</download_url>
        <uploaded_by><![CDATA[qscripter]]></uploaded_by>
        <create_date>2019-12-09T19:12:11.291275+00:00</create_date>
        <update_date>2026-02-17T14:39:35.487774+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/planetlabs/qgis-planet-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/planetlabs/qgis-planet-plugin]]></repository>
        <tags><![CDATA[raster,landsat,remote sensing,analytics]]></tags>
        <downloads>191067</downloads>
        <average_vote>4.65144467508068</average_vote>
        <rating_votes>66</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Deactivate Active Labels" version="0.5" plugin_id="1905">
        <description><![CDATA[on/off layer’s label]]></description>
        <about><![CDATA[This Plugin create one Button to on/off layer’s label and other Button to deactivate all labels and Active all labels that have been deactivate before.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CarlosCagna/deactivate_active_labels]]></homepage>
        <file_name>deactivate_active_labels.0.5.zip</file_name>
        <icon>/media/packages/2021/label.png</icon>
        <author_name><![CDATA[Carlos Eduardo Cagna]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/deactivate_active_labels/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[carloscagna]]></uploaded_by>
        <create_date>2019-12-12T18:58:22.170342+00:00</create_date>
        <update_date>2019-12-18T17:08:42.331807+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CarlosCagna/deactivate_active_labels/issues]]></tracker>
        <repository><![CDATA[https://github.com/CarlosCagna/deactivate_active_labels]]></repository>
        <tags><![CDATA[labeling,label]]></tags>
        <downloads>12322</downloads>
        <average_vote>4.332851905343851</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Batch Heatmaps" version="1.1" plugin_id="1907">
        <description><![CDATA[Plugin to automatically generate heatmaps]]></description>
        <about><![CDATA[This plugin automatically generates batch heatmaps at different time intervals (Year, Semester, Month, Fortnight, Epidemiological Week).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geobetim/BatchHeatmaps]]></homepage>
        <file_name>BatchHeatmaps-master.1.1.zip</file_name>
        <icon>/media/packages/2019/icon_d7sNMZ8.png</icon>
        <author_name><![CDATA[Prefeitura Municipal de Betim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BatchHeatmaps-master/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[equipegeobetim]]></uploaded_by>
        <create_date>2019-12-13T18:22:48.297299+00:00</create_date>
        <update_date>2020-05-15T19:33:09.224836+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geobetim/BatchHeatmaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/geobetim/BatchHeatmaps]]></repository>
        <tags><![CDATA[time,batch,maps,heatmaps]]></tags>
        <downloads>53756</downloads>
        <average_vote>3.71410885195943</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EZPrinter" version="1.3.1" plugin_id="1909">
        <description><![CDATA[Print your maps easily.]]></description>
        <about><![CDATA[EZPrinter enable you to print maps easily. Select area on MapCanvas by a rectangle this plugin provide, and then execute your printing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Kanahiro]]></homepage>
        <file_name>ezprinter.1.3.1.zip</file_name>
        <icon>/media/packages/2020/icon_yMcGhll.png</icon>
        <author_name><![CDATA[Kanahiro Iguchi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ezprinter/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[kanahiro]]></uploaded_by>
        <create_date>2019-12-14T05:55:15.263364+00:00</create_date>
        <update_date>2020-11-02T12:47:04.447738+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kanahiro]]></tracker>
        <repository><![CDATA[https://github.com/Kanahiro/EZPrinter]]></repository>
        <tags><![CDATA[python,map,print]]></tags>
        <downloads>12175</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geofabryka Toolbox" version="0.5" plugin_id="1910">
        <description><![CDATA[The &#x27;Geofabryka Toolbox&#x27; enables simple digitization of objects, trimming, filling and buffering. One of them you can move attributes of objects using lines.]]></description>
        <about><![CDATA[The package consists of four tools that allow:
- creating one side buffers from the polygon objects,
- filling empty spaces using polygons or lines,
- cutting and aggregation cuted elements by modifying the source layers and copying to the target layer,
- copy attributes from the source layer to the target layer by using a line.
At the plug-in design stage, it was assumed that the edited layers would be in the same coordinate system. Tool parameters such as distance will be determined by coordinate system. The plugin includes topological editing.
The plug-in created thanks to the financial support of &lt;a href=&quot;http://geofabryka.pl/&quot;&gt;Geofabryka Sp. z o.o.&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/abocianowski/Geofabryka-Toolbox-]]></homepage>
        <file_name>GeofabrykaToolbox.0.5.zip</file_name>
        <icon>/media/packages/2019/geofabryka_D3vX4Z3.png</icon>
        <author_name><![CDATA[Adrian Bocianowski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeofabrykaToolbox/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[abocianowski]]></uploaded_by>
        <create_date>2019-12-14T20:17:40.220123+00:00</create_date>
        <update_date>2019-12-16T18:17:49.632424+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/abocianowski/Geofabryka-Toolbox-/issues]]></tracker>
        <repository><![CDATA[https://github.com/abocianowski/Geofabryka-Toolbox-]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>8790</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Tracer" version="0.3.3" plugin_id="1911">
        <description><![CDATA[This plugin allows user to automaticaly trace lineal features of the underlaying raster map, simply by clicking on knots of lines on map.]]></description>
        <about><![CDATA[RasterTracer is a plugin for semi-automatic digitizing of underlying raster layer in QGis.  It is useful, for example, when you need to digitize a scanned topographic map, with curved black lines representing lines of equal heights of the surface.  Instead of creating this curved vector line by manually clicking at each segment of this curved line to create multi-line, with this plugin you can click at the beginning of the curved line and at the end of the curved line, and it will automatically trace over black pixels (or pixels that are almost black) from the beginning to the end.  By using this plugin you reduce clicks while digitizing raster maps. See https://github.com/mkondratyev85/raster_tracer for more explanation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mkondratyev85/raster_tracer/]]></homepage>
        <file_name>raster_tracer.0.3.3.zip</file_name>
        <icon>/media/packages/2023/icon_2nLM1w2.png</icon>
        <author_name><![CDATA[Mikhail Kondratyev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raster_tracer/version/0.3.3/download/</download_url>
        <uploaded_by><![CDATA[mkondratyev85]]></uploaded_by>
        <create_date>2019-12-15T22:24:57.503722+00:00</create_date>
        <update_date>2023-05-12T19:18:07.996335+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mkondratyev85/raster_tracer/issues]]></tracker>
        <repository><![CDATA[https://github.com/mkondratyev85/raster_tracer/]]></repository>
        <tags><![CDATA[vector,python,raster,digitizing]]></tags>
        <downloads>59825</downloads>
        <average_vote>4.1567812395835375</average_vote>
        <rating_votes>51</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Export to SQL Server" version="0.5" plugin_id="1919">
        <description><![CDATA[Exports a vector layer to a new SQL Server database connection.]]></description>
        <about><![CDATA[It needs a Microsoft SQL Server driver installed: https://docs.microsoft.com/en-us/sql/connect/odbc/microsoft-odbc-driver-for-sql-server.

This driver doesn’t support creating new databases, you might want to use the Microsoft SQL Server Client Tools for this purpose, but it does allow creation of new layers within an existing database.

More information about the tool: https://gdal.org/drivers/vector/mssqlspatial.html.

Developed by Pedro Venancio. Based in PostGIS Geoprocessing Tools plugin developed by Alexander Bruy and Giovanni Manghi for NaturalGIS (http://www.naturalgis.pt/) and in Export to PostgreSQL tool developed by Victor Olaya.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PedroVenancio/export_to_sql_server]]></homepage>
        <file_name>export_to_sql_server.0.5.zip</file_name>
        <icon>/media/packages/2024/mIconMssql_32.png</icon>
        <author_name><![CDATA[Pedro Venancio]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/export_to_sql_server/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[pedrongv]]></uploaded_by>
        <create_date>2019-12-19T15:05:58.950549+00:00</create_date>
        <update_date>2024-08-07T15:30:48.987904+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PedroVenancio/export_to_sql_server/issues]]></tracker>
        <repository><![CDATA[https://github.com/PedroVenancio/export_to_sql_server]]></repository>
        <tags><![CDATA[vector,sqlserver]]></tags>
        <downloads>15290</downloads>
        <average_vote>3.9427444930144855</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bit Flag Renderer" version="0.5.20230630T235901.master" plugin_id="1920">
        <description><![CDATA[Visualization of raster pixel bit values.]]></description>
        <about><![CDATA[&lt;p&gt;The Bit Flag Render plugin allows to visualize the state of single bits in raster bands of with data type byte or integer.&lt;/p&gt;&lt;h1&gt;Features&lt;/h1&gt;&lt;ul&gt;&lt;li&gt;visualizes bit flags consisting of 1 to 3 bits (from 2 (on/off) to 8 different states)&lt;/li&gt;&lt;li&gt;layer legend shows flag state colors&lt;/li&gt;&lt;li&gt;predefined flag schemes, e.g. for &lt;a href=&quot;https://www.usgs.gov/landsat-missions/landsat-surface-reflectance-quality-assessment&quot;&gt;Landsat Quality Assessment (QA) bands&lt;/a&gt;&lt;/li&gt;&lt;li&gt;allows to specify, save and reload flag schemes&lt;/li&gt;&lt;li&gt;Documentation &lt;a href=&quot;https://bit-flag-renderer.readthedocs.io/en/latest&quot;&gt;https://bit-flag-renderer.readthedocs.io/en/latest&lt;/a&gt;&lt;/li&gt;&lt;li&gt;Repository &lt;a href=&quot;https://bitbucket.org/jakimowb/bit-flag-renderer&quot;&gt;https://bitbucket.org/jakimowb/bit-flag-renderer&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;The Bit Flag Renderer is developed at Humboldt-Universität zu Berlin, &lt;a href=&quot;https://hu-berlin.de/eo-lab&quot;&gt;Earth Observation Lab&lt;/a&gt; as part of the &lt;a href=&quot;https://eo.belspo.be/en/stereo-in-action/projects/remote-sensing-image-processing-algorithms-land-use-and-land-cover&quot;&gt;Land Use Monitoring System (LUMOS)&lt;/a&gt; project. LUMOS was funded by the Belgian Science Policy Office as part of the Stereo-III research program (grant no. SR/01/349).&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://bit-flag-renderer.readthedocs.io/en/latest/]]></homepage>
        <file_name>BitFlagRenderer.0.5.20230630T235901.master.zip</file_name>
        <icon>/media/packages/2023/bitflagimage_KkYWlsN.svg</icon>
        <author_name><![CDATA[Benjamin Jakimow, Earth Observation Lab, Humboldt-Universität zu Berlin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BitFlagRenderer/version/0.5.20230630T235901.master/download/</download_url>
        <uploaded_by><![CDATA[jakimowb]]></uploaded_by>
        <create_date>2019-12-19T22:11:34.007456+00:00</create_date>
        <update_date>2023-06-30T21:59:38.402875+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jakimowb/bit-flag-renderer/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/jakimowb/bit-flag-renderer]]></repository>
        <tags><![CDATA[raster]]></tags>
        <downloads>6925</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGEP" version="1.6.6" plugin_id="1921">
        <description><![CDATA[Plugin to manage wastewater networks]]></description>
        <about><![CDATA[The QGEP plugin adds functionality to manage wastewater networks in QGIS. It requires a QGEP compatible database and project file.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/qgep/qgepplugin]]></homepage>
        <file_name>qgepplugin.1.6.6.zip</file_name>
        <icon>/media/packages/2025/qgepIcon_bD30xSV.svg</icon>
        <author_name><![CDATA[TEKSI]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgepplugin/version/1.6.6/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2019-12-20T15:47:20.824147+00:00</create_date>
        <update_date>2025-01-06T12:17:40.826628+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgep/qgepplugin/issues]]></tracker>
        <repository><![CDATA[http://github.com/QGEP/qgepplugin]]></repository>
        <tags><![CDATA[wastewater,abwasser,gep]]></tags>
        <downloads>13030</downloads>
        <average_vote>3.190324270272844</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="To Radians" version="0.2" plugin_id="1922">
        <description><![CDATA[This plugin helps to converts the Latitude and Longitude values to Radians]]></description>
        <about><![CDATA[The Latitude and Longitude values are converted to Radians with the aid of this plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ilayarajak/ToRadians2]]></homepage>
        <file_name>ToRadians.0.2.zip</file_name>
        <icon>/media/packages/2022/icon_tplzVKW.png</icon>
        <author_name><![CDATA[Dr. K. Ilayaraja]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ToRadians/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[drilayaraja]]></uploaded_by>
        <create_date>2019-12-23T11:17:10.761537+00:00</create_date>
        <update_date>2022-04-14T11:48:25.540940+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ilayarajak/ToRadians2/issues]]></tracker>
        <repository><![CDATA[https://github.com/ilayarajak/ToRadians]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2165</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Terrain Shading" version="0.9.9" plugin_id="1924">
        <description><![CDATA[Shading algorithms for terrain analysis and visualisation.]]></description>
        <about><![CDATA[This plugin features several algoritms for the analysis and visualisation of elevation models (DEMs).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://landscapearchaeology.org/qgis-terrain-shading]]></homepage>
        <file_name>TerrainShading.0.9.9.zip</file_name>
        <icon>/media/packages/2025/icon_SPL59us.png</icon>
        <author_name><![CDATA[Zoran Čučković]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TerrainShading/version/0.9.9/download/</download_url>
        <uploaded_by><![CDATA[zoran14]]></uploaded_by>
        <create_date>2019-12-30T19:24:30.207652+00:00</create_date>
        <update_date>2025-12-24T11:04:26.847020+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zoran-cuckovic/QGIS-terrain-shading/issues]]></tracker>
        <repository><![CDATA[https://github.com/zoran-cuckovic/QGIS-terrain-shading]]></repository>
        <tags><![CDATA[raster,hillshade,shadows,ambient occlusion,sky-view factor]]></tags>
        <downloads>79032</downloads>
        <average_vote>4.46656740961312</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Statto Redistricter QGISv3" version="2.3.1" plugin_id="1927">
        <description><![CDATA[Easily create political districts of equal population]]></description>
        <about><![CDATA[The Statto Redistricter for QGISv3 allows you to easily redistrict a map into areas of equal population. Developed by John Holden, Statto Software LLC. Special thanks to Blake Esselstyn; Zach Alexopoulos; Moussa Dia and Robert Rose, the William &amp; Mary Center for Geospatial Analysis; the William &amp; Mary Election Law Society; and the University of Arizona Geography Department.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.stattosoftware.com]]></homepage>
        <file_name>qgis3redistricter-master.2.3.1.zip</file_name>
        <icon>/media/packages/2022/icon_pEC8xRH.png</icon>
        <author_name><![CDATA[John Holden]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis3redistricter-master/version/2.3.1/download/</download_url>
        <uploaded_by><![CDATA[jpholden]]></uploaded_by>
        <create_date>2020-01-02T01:10:41.181119+00:00</create_date>
        <update_date>2022-03-03T22:40:54.418359+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/johnpholden/qgis3redistricter/issues]]></tracker>
        <repository><![CDATA[https://github.com/johnpholden/qgis3redistricter]]></repository>
        <tags><![CDATA[vector,redistricting,reapportionment]]></tags>
        <downloads>4535</downloads>
        <average_vote>3.570918440222825</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geokodowanie Adresów UUG GUGiK" version="1.3.2" plugin_id="1928">
        <description><![CDATA[PL: Wtyczka geokoduje adresy z pliku CSV do warstwy punktowej przy wykorzystaniu usługi UUG GUGiK. EN: The plugin geocodes CSV file od addresses for Poland. It uses UUG GUGiK web service.]]></description>
        <about><![CDATA[PL: Wtyczka geokoduje adresy z pliku CSV do warstwy punktowej przy wykorzystaniu usługi UUG GUGiK. EN: The plugin geocodes CSV file od addresses for Poland. It uses UUG GUGiK web service.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://envirosolutions.pl/wtyczki-qgis/geokodowanie-adresow-uug-gugik/]]></homepage>
        <file_name>geokodowanie_adresow.1.3.2.zip</file_name>
        <icon>/media/packages/2026/icon_uug_iQRRb2i.svg</icon>
        <author_name><![CDATA[EnviroSolutions Sp. z o.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geokodowanie_adresow/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[envirosolutions]]></uploaded_by>
        <create_date>2020-01-02T12:35:38.057437+00:00</create_date>
        <update_date>2026-04-16T08:13:53.571867+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/envirosolutionspl/geokodowanie_uug/issues]]></tracker>
        <repository><![CDATA[https://github.com/envirosolutionspl/geokodowanie_uug]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>22377</downloads>
        <average_vote>3.999891894813654</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DWA_M150_XML_Import" version="2.52" plugin_id="1931">
        <description><![CDATA[Import Manholes and sewers from  DWA M150 XML and ISYBAU XML &gt;2006

Import von Haltungen, Leitungen, Schächte und Zustandsbeschreibungen aus den Schnittstellen DWA M150 XML &amp; ISYBAU XML&gt;2006]]></description>
        <about><![CDATA[Dieses Plugin ermöglicht die effiziente Übernahme von Entwässerungsdaten direkt in QGIS. Es unterstützt den Import von Schächten (Punkten) und Leitungen/Haltungen (Linien) aus den Datenaustauschformaten DWA M150 XML &amp; ISYBAU XML

Funktionsumfang &amp; Highlights

Attribut-Transfer: 
Alle verfügbaren Attribute werden feldgenau eingelesen. Formatfestlegungen und hinterlegte Referenzlisten werden dabei übernommen.
Datenintegrität: 
Durch die Verknüpfung via Werteverweis auf die Referenzlisten bleibt die semantische Struktur der Quelldaten erhalten.
Geometrie-Handling: 
Haltungen können flexibel via QGIS-Feldrechner aus dem Attribut „Geometrie“ in echte Geometrie-Objekte umgewandelt werden:    geometry = geom_from_wkt(&#x27;LINESTRINGZ(&#x27;||&quot;Geometrie&quot;||&#x27;)&#x27;)

Wichtige Hinweise:

Plausibilität: 
Der Import erfolgt 1:1 ohne zusätzliche Validierung oder fachliche Prüfung.
Geometrie-Einschränkung: Knickpunkte in Leitungsverläufen werden in der aktuellen Version nicht abgebildet.

Feedback &amp; Kontakt:
Das Tool befindet sich in der aktiven Nutzung. Über Rückmeldungen aus der Praxis, Verbesserungsvorschläge oder Fehlerberichte freue ich mich sehr.

Viel Erfolg!
Gerd Dreier]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Amphibitus/m150xml]]></homepage>
        <file_name>m150xml.2.52.zip</file_name>
        <icon>/media/packages/2026/icon_MIpMn7B.png</icon>
        <author_name><![CDATA[g3er geoplaning GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/m150xml/version/2.52/download/</download_url>
        <uploaded_by><![CDATA[amphibitus]]></uploaded_by>
        <create_date>2020-01-03T15:53:18.586571+00:00</create_date>
        <update_date>2026-02-13T12:06:40.796638+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Amphibitus/m150xml/issues]]></tracker>
        <repository><![CDATA[https://github.com/Amphibitus/m150xml]]></repository>
        <tags><![CDATA[analysis,import,xml,qgis,dwa,m150,schacht,zustand,haltung,isybau,kanalkataster,stammdaten,tv untersuchung,inspektionsdaten]]></tags>
        <downloads>19760</downloads>
        <average_vote>3.911649657363019</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Automatic Backup" version="1.0" plugin_id="1933">
        <description><![CDATA[Create automatic backup for your project]]></description>
        <about><![CDATA[Create automatic backup for your project with few options such as interval time, destination folder where to store your backups, and their maximum number.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Seboon/AutomaticBackup]]></homepage>
        <file_name>AutomaticBackup-master.1.0.zip</file_name>
        <icon>/media/packages/2021/icon_9uOmG5z.png</icon>
        <author_name><![CDATA[S.Poudroux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AutomaticBackup-master/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[seboon]]></uploaded_by>
        <create_date>2020-01-05T17:52:24.619410+00:00</create_date>
        <update_date>2020-01-05T17:52:25.104935+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Seboon/AutomaticBackup/issues]]></tracker>
        <repository><![CDATA[https://github.com/Seboon/AutomaticBackup]]></repository>
        <tags><![CDATA[python,export,backup]]></tags>
        <downloads>16863</downloads>
        <average_vote>4.221987667351813</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Delete NULL Fields from Vector Data" version="0.2" plugin_id="1934">
        <description><![CDATA[This plugin will delete all fields/columns from a vector layer which has all values equal to NULL.]]></description>
        <about><![CDATA[Basically this plugin has one input which is Vector Layer in QGIS or you can give path to local vector data, after choosing one layer from dropdown, it will list all the fields which has all of its values equal to NULL or Empty. Then you can select fields that you want to delete from that particular file. Now it depends on your choice if you want to create temporary layer or want to export the updated temporary layer into shapefile, if you want to create temporary layer left the Output field empty or give export path with filename+extension which is shapefile(.shp).

Repo  Link: https://github.com/spaciandd/qgis3_plugin__delete_null_field]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/spaciandd/qgis3_plugin__delete_null_field]]></homepage>
        <file_name>delete_null_fields.0.2.zip</file_name>
        <icon>/media/packages/2020/icon_PeQkWdS.png</icon>
        <author_name><![CDATA[Abdullah - Mphil RS and GIS - GIS Developer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/delete_null_fields/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[spaciandd]]></uploaded_by>
        <create_date>2020-01-06T06:07:48.552971+00:00</create_date>
        <update_date>2020-01-08T08:25:52.181871+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/spaciandd/qgis3_plugin__delete_null_field/issues]]></tracker>
        <repository><![CDATA[https://github.com/spaciandd/qgis3_plugin__delete_null_field]]></repository>
        <tags><![CDATA[vector,shapefile,attribute,delete,fields,table,geojson,null]]></tags>
        <downloads>8353</downloads>
        <average_vote>4.719811207551698</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Nuclear Energy Plants&#x27; Radiations" version="1.8" plugin_id="1935">
        <description><![CDATA[Visualize all nuclear energy plant in the world!]]></description>
        <about><![CDATA[The goal of this project was develop a python plugin for the software Quantum GIS (QGIS) in order to visualize on the open street map all nuclear energy plant in the world. This plugin use the mqtt protocol for receive of radiation data from sensors in order to dinamically visualize it on the map. In order to clarify the visualization of the radiation data, a heat map was created and used. The plugin uses fake radiation, it simulates that the data comes from real sensors. The extention value (radiation radius) is computed by MAX_RADIATION_VALUE / (4pi), in order to give a real visual experience.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DomenicoM92/Nuclear-Energy-Plant-Radiations-.git]]></homepage>
        <file_name>Nuclear-Energy-Plant-Radiations-.1.8.zip</file_name>
        <icon>/media/packages/2020/icon_UUOaPRi.png</icon>
        <author_name><![CDATA[Marino Domenico, Ruggiero Mario]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Nuclear-Energy-Plant-Radiations-/version/1.8/download/</download_url>
        <uploaded_by><![CDATA[1234567]]></uploaded_by>
        <create_date>2020-01-06T16:20:02.647881+00:00</create_date>
        <update_date>2020-01-21T11:15:39.032790+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DomenicoM92/Nuclear-Energy-Plant-Radiations-/issues/]]></tracker>
        <repository><![CDATA[https://github.com/DomenicoM92/energy_plant_radiation_module.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4275</downloads>
        <average_vote>4.545041359876375</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="To Decimal" version="0.2" plugin_id="1936">
        <description><![CDATA[This plugin converts the Latitude and Longitude values into Decimal Values]]></description>
        <about><![CDATA[This plugin converts the Latitude and Longitude values into Decimal Values]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ilayarajak/ToDecimal2]]></homepage>
        <file_name>LatlonDecimal.0.2.zip</file_name>
        <icon>/media/packages/2022/icon_HBXcp57.png</icon>
        <author_name><![CDATA[Dr. K. Ilayaraja]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LatlonDecimal/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[drilayaraja]]></uploaded_by>
        <create_date>2020-01-07T08:08:16.661325+00:00</create_date>
        <update_date>2022-04-25T09:58:35.597765+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ilayarajak/ToDecimal2/issues]]></tracker>
        <repository><![CDATA[https://github.com/ilayarajak/To-Decimal]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3910</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OneAtlas" version="1.4.0" plugin_id="1943">
        <description><![CDATA[This plugin provides access to the OneAtlas platform for searching and streaming satellite imagery (ex. SPOT, Pleiades, Pleiades Neo).]]></description>
        <about><![CDATA[OneAtlas plugin for QGIS provides access to the OneAtlas platform (https://oneatlas.airbus.com/) for searching and streaming satellite imagery (ex: SPOT, Pleiades, Pleiades Neo).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://api.oneatlas.airbus.com/guides/oneatlas-data/g-service-view/#qgis-oneatlas-data-plugin]]></homepage>
        <file_name>oneatlas-qgis-plugin-1_0_1.1.4.0.zip</file_name>
        <icon>/media/packages/2025/logo_6qRbDF1.png</icon>
        <author_name><![CDATA[Airbus DS Geo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/oneatlas-qgis-plugin-1_0_1/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[halliot]]></uploaded_by>
        <create_date>2020-01-13T10:34:30.403214+00:00</create_date>
        <update_date>2025-03-05T07:56:50.497993+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/airbusgeo/oneatlas-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/airbusgeo/oneatlas-qgis-plugin]]></repository>
        <tags><![CDATA[wcs,satellite,imagery,wmts,streaming,oneatlas,pleiades,spot,phr,pleiades neo,pneo]]></tags>
        <downloads>31178</downloads>
        <average_vote>4.749762511874406</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tree Density Calculator" version="1.5.7" plugin_id="1944">
        <description><![CDATA[The Tree Density Calculator is designed to calculate tree densities based on local maxima.]]></description>
        <about><![CDATA[The Tree Density Calculator is a QGIS plugin and command line interface package designed to calculate tree densities based on brightness images, using the local maximum in a sliding window.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://treedensitycalculator.readthedocs.io]]></homepage>
        <file_name>localmaxfilter.1.5.7.zip</file_name>
        <icon>/media/packages/2020/lmf_logo.png</icon>
        <author_name><![CDATA[Ann Crabbé]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/localmaxfilter/version/1.5.7/download/</download_url>
        <uploaded_by><![CDATA[annc]]></uploaded_by>
        <create_date>2020-01-14T15:49:34.683613+00:00</create_date>
        <update_date>2020-11-29T19:13:29.248557+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/kul-reseco/localmaxfilter/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/kul-reseco/localmaxfilter/src]]></repository>
        <tags><![CDATA[remote sensing,forestry,tree density,local maxima,sliding window]]></tags>
        <downloads>20403</downloads>
        <average_vote>4.0655071228340525</average_vote>
        <rating_votes>61</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Thailand Meteorological Department (TMD)" version="0.3" plugin_id="1945">
        <description><![CDATA[Get Data from Thailand Meteorological Department API : TMDAPI]]></description>
        <about><![CDATA[This pluging will retrive data from The Thai Meteorological Department (TMD) via public webservice (https://data.tmd.go.th/api/index1.php) and show data in QGIS. In version 0.3 can use [✓] WeatherToday.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gis4developer/QGIS/tree/master]]></homepage>
        <file_name>tmd.0.3.zip</file_name>
        <icon>/media/packages/2020/icon_JdRClVA.png</icon>
        <author_name><![CDATA[GIS4Dev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tmd/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[gis4developer]]></uploaded_by>
        <create_date>2020-01-15T03:01:46.632273+00:00</create_date>
        <update_date>2020-01-15T03:01:47.394877+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gis4developer/QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/gis4developer/QGIS]]></repository>
        <tags><![CDATA[weather,gis4dev,thai,tmd]]></tags>
        <downloads>4402</downloads>
        <average_vote>3.856591915440651</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Globe Builder" version="v0.6.0" plugin_id="1946">
        <description><![CDATA[This plugin is meant for adding globe visualization to the current map or layout.]]></description>
        <about><![CDATA[This plugin builds a globe from Natural Earth countries GeoJSON and an Azimuthal orthographic projection (&quot;world from space&quot;) projection described &lt;a href=&quot;http://www.statsmapsnpix.com/2019/09/globe-projections-and-insets-in-qgis.html&quot;&gt;here&lt;/a&gt;. This plugin uses &lt;a href=&quot;https://wiki.openstreetmap.org/wiki/Nominatim&quot;&gt;OpenStreetMap Nominatim&lt;/a&gt; geocoding API. The OpenStreetMap data is licensed under &lt;a href=&quot;https://opendatacommons.org/licenses/odbl/&quot;&gt;ODbL license&lt;/a&gt;. Made with Natural Earth. Free vectior and raster map data &lt;a href=&quot;naturalearthdata.com&quot;&gt;naturalearthdata.com&lt;/a&gt;. This plugin lists Sentinel-2 cloudless as an optional data source. Sentinel-2 cloudless data &lt;a href=&quot;https://s2maps.eu/&quot;&gt;https://s2maps.eu/&lt;/a&gt; by EOX IT Services GmbH (Contains modified Copernicus Sentinel data 2017 &amp; 2018) released under &lt;a href=&quot;https://creativecommons.org/licenses/by-nc-sa/4.0/&quot;&gt;Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License&lt;/a&gt;. For commercial usage of Sentinel-2 cloudless please see &lt;a href=&quot;https://cloudless.eox.at&quot;&gt;https://cloudless.eox.at&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GispoCoding/GlobeBuilder]]></homepage>
        <file_name>GlobeBuilder.v0.6.0.zip</file_name>
        <icon>/media/packages/2020/icon_s0lGwbV.png</icon>
        <author_name><![CDATA[Gispo Ltd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GlobeBuilder/version/v0.6.0/download/</download_url>
        <uploaded_by><![CDATA[joonala]]></uploaded_by>
        <create_date>2020-01-15T09:24:23.045651+00:00</create_date>
        <update_date>2020-09-23T06:57:15.407178+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GispoCoding/GlobeBuilder/issues]]></tracker>
        <repository><![CDATA[https://github.com/GispoCoding/GlobeBuilder]]></repository>
        <tags><![CDATA[python,world,globe]]></tags>
        <downloads>33193</downloads>
        <average_vote>4.333152785300612</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BOS" version="1.1.0" plugin_id="1952">
        <description><![CDATA[Assess the quality (including geometric accuracy) of a line data set by comparing it to a line data set of significantly higher accuracy using the BOS method.]]></description>
        <about><![CDATA[The BOS Plugin compares the geometries of two line layers (the input and the reference layer) by buffering and overlay for several buffer sizes, collecting statistics and plotting the results for a visual assessment of the geometric accuracy (and completeness) of the line data set according to the BOS method (reference: Tveite, H. and Langaas S., 1999. An accuracy assessment method for geographical line data sets based on buffering. International Journal of Geographical Information Science, 13, pp. 27-47. URL: https://doi.org/10.1080/136588199241445).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://arken.nmbu.no/~havatv/gis/qgisplugins/BOS]]></homepage>
        <file_name>BOS.1.1.0.zip</file_name>
        <icon>/media/packages/2020/bos_f8EMyY0.png</icon>
        <author_name><![CDATA[Håvard Tveite, NMBU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BOS/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[havatv]]></uploaded_by>
        <create_date>2020-01-21T15:01:13.521623+00:00</create_date>
        <update_date>2020-09-05T12:23:29.768414+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/havatv/qgisbosplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/havatv/qgisbosplugin.git]]></repository>
        <tags><![CDATA[vector,displacement,line,statistics,lines,buffer,accuracy,miscodings,completeness]]></tags>
        <downloads>5575</downloads>
        <average_vote>2.6662222962839524</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cruise Tools" version="2.4" plugin_id="1953">
        <description><![CDATA[The toolbox you need for marine research cruises (planning and stuff)!]]></description>
        <about><![CDATA[On marine research cruises, one has to perform reoccurring tasks over an over again which might require a whole bunch of clicks each time. Cruise Tools intends to offer two click (or three click) solutions for some of these tasks.

This includes:
- loading, coloring and shading bathymetry grids
- exporting colored and shaded RGB grids
- calculating raster coverage
- creating smooth filtered contours
- generating DD, DDM, and XY coordinate attributes for point features
- generating length (m, km, and nm) attributes for line features
- generating area (m2 and km2) attributes for polygon features
- sampling raster values into point feature attributes
- generating geographic coordinate grid feature layers
- cruise planning mechanisms like estimate MBES coverage
- event logging in combination with PosiView

Cruise Tools is developed for Windows, but we intend to check OS compatibility in the future.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/simondreutter/cruisetools]]></homepage>
        <file_name>cruisetools.2.4.zip</file_name>
        <icon>/media/packages/2026/icon_O2mBOgN.png</icon>
        <author_name><![CDATA[Simon Dreutter &amp; Fynn Warnke]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cruisetools/version/2.4/download/</download_url>
        <uploaded_by><![CDATA[simondreutter]]></uploaded_by>
        <create_date>2020-01-22T15:20:23.598225+00:00</create_date>
        <update_date>2026-02-25T20:34:48.831452+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/simondreutter/cruisetools/issues]]></tracker>
        <repository><![CDATA[https://github.com/simondreutter/cruisetools]]></repository>
        <tags><![CDATA[research,bathymetry,cruise]]></tags>
        <downloads>13801</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Wtyczka GIS Support" version="3.1" plugin_id="1954">
        <description><![CDATA[GIS Support Plugin is the essential bridge between QGIS and Polish spatial data infrastructure. It gives you one-click access to services and datasets published by Polish public institutions - without leaving QGIS or hunting for URLs.]]></description>
        <about><![CDATA[What it does:
* Cadastral parcel search - find any parcel in Poland by commune, precinct and parcel number using the ULDK service (GUGiK); the parcel boundary is loaded directly onto your map

* Elevation profile - draw a line on the map and instantly generate an elevation chart using the GUGiK NMT API; individual point elevations are also available on click

* National WMS/WFS catalogue - a curated list of country-wide map services (orthophoto, topographic maps, administrative boundaries and more) ready to add in one click - no need to remember or search for service URLs

* WMTS with local tile caching - add tiled map services with configurable on-disk caching so downloaded tiles (e.g. orthophoto) are reused across sessions

* Data downloads - download PRG administrative boundaries (communes, counties, voivodeships), address points and BDOT10k topographic objects for any area of Poland directly from GUGiK

* Digital Elevation Model - bulk download NMT/NMPT raster data published by GUGiK

* Historical map search (Mapster) - browse and preview archival maps covering your current map view

* Usemaps Lite - a built-in cloud workspace for QGIS teams: upload layers to the cloud, share them with colleagues and keep everyone working on the same up-to-date data - no server setup required

The plugin is free, requires no API keys and works on Windows, macOS and Linux. Maintained by GIS Support: https://gis-support.pl.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gis-support/gis-support-plugin]]></homepage>
        <file_name>gissupport_plugin.3.1.zip</file_name>
        <icon>/media/packages/2026/icon_pZEaFoL.png</icon>
        <author_name><![CDATA[GIS Support]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gissupport_plugin/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[gissupport]]></uploaded_by>
        <create_date>2020-01-23T15:44:31.272706+00:00</create_date>
        <update_date>2026-03-30T12:34:42.769002+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gis-support/gis-support-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/gis-support/gis-support-plugin]]></repository>
        <tags><![CDATA[cloud,wfs,wms,address,dem,topography,elevation,cadastre,cadastral,webservice,download,catalog,basemap,chart,wmts,sharing,bdot10k,basemaps,collaboration]]></tags>
        <downloads>267627</downloads>
        <average_vote>4.004115685472374</average_vote>
        <rating_votes>242</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Zoom Level" version="0.3.3" plugin_id="1955">
        <description><![CDATA[Displays the zoom level of the map]]></description>
        <about><![CDATA[This plugin will display the zoom level of the current map in a dockable panel.  The number reported should be accurate for maps using EPSG:3857 -- no guarantees for other CRS!  Note that vector tile layers in QGIS tend to get requested at a slightly different zoom level than XYZ layers.  For more details about zoom levels, see &lt;a href=&quot;https://wiki.openstreetmap.org/wiki/Zoom_levels&quot;&gt;https://wiki.openstreetmap.org/wiki/Zoom_levels&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kgjenkins/qgis-zoom-level]]></homepage>
        <file_name>zoom_level.0.3.3.zip</file_name>
        <icon>/media/packages/2025/icon_xp6pJZN.png</icon>
        <author_name><![CDATA[Keith Jenkins]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/zoom_level/version/0.3.3/download/</download_url>
        <uploaded_by><![CDATA[kgjenkins]]></uploaded_by>
        <create_date>2020-01-23T18:50:31.488108+00:00</create_date>
        <update_date>2025-03-21T14:52:31.455949+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kgjenkins/qgis-zoom-level/issues]]></tracker>
        <repository><![CDATA[https://github.com/kgjenkins/qgis-zoom-level]]></repository>
        <tags><![CDATA[scale,zoom]]></tags>
        <downloads>32194</downloads>
        <average_vote>4.4543429844097995</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QWaterModel" version="1.5" plugin_id="1957">
        <description><![CDATA[QWaterModel is a simple tool to calculate evapotranspiration from thermal images.]]></description>
        <about><![CDATA[QWaterModel is a simple tool to calculate evapotranspiration from thermal images. Here is a tutorial: https://ecothermographylab.com/evapotranspiration/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ecothermographylab.com/evapotranspiration/]]></homepage>
        <file_name>qwatermodel.1.5.zip</file_name>
        <icon>/media/packages/2023/icon_oiLoiIJ.png</icon>
        <author_name><![CDATA[Florian Ellsäßer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qwatermodel/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[floell]]></uploaded_by>
        <create_date>2020-01-29T14:08:29.807536+00:00</create_date>
        <update_date>2023-02-15T14:42:19.328833+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FloEll/QWaterModel/issues]]></tracker>
        <repository><![CDATA[https://github.com/FloEll/QWaterModel]]></repository>
        <tags><![CDATA[ecology,raster,water,plant water use,dattutdut,land surface temperatures,energy balance modeling,evapotranspiration,evaporation,transpiration]]></tags>
        <downloads>19099</downloads>
        <average_vote>4.466368908739417</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Relation Batch Insert" version="0.3.2" plugin_id="1961">
        <description><![CDATA[Batch insert related features on a layer selection]]></description>
        <about><![CDATA[Batch insert related features on a layer selection]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis-relation-batchinsert]]></homepage>
        <file_name>relation_batchinsert.0.3.2.zip</file_name>
        <icon>/media/packages/2020/icon_IuDOWfr.svg</icon>
        <author_name><![CDATA[Denis Rouzaud]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/relation_batchinsert/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[3nids]]></uploaded_by>
        <create_date>2020-02-05T16:15:13.886219+00:00</create_date>
        <update_date>2020-02-10T08:10:55.700929+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis-relation-batchinsert/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis-relation-batchinsert]]></repository>
        <tags><![CDATA[relation]]></tags>
        <downloads>3004</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GIS Cloud Publisher" version="1.0.11" plugin_id="1962">
        <description><![CDATA[Transfer your QGIS projects to GIS Cloud and share online with others]]></description>
        <about><![CDATA[GIS Cloud Publisher allows you to publish your maps and data from QGIS to GIS Cloud with one click, preserving your symbology and integrating your desktop solution with the cloud. You can also update all changes to your QGIS project (or to specific layers) and sync it with published maps in GIS Cloud, as your project evolves. Share your maps privately or publicly through GIS Cloud with your colleagues and the public.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.giscloud.com/apps/gis-cloud-publisher-for-qgis/?from_qgis]]></homepage>
        <file_name>gis_cloud_publisher.1.0.11.zip</file_name>
        <icon>/media/packages/2026/icon_b25WATo.png</icon>
        <author_name><![CDATA[GIS Cloud Ltd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gis_cloud_publisher/version/1.0.11/download/</download_url>
        <uploaded_by><![CDATA[dravnic]]></uploaded_by>
        <create_date>2020-02-05T16:58:46.814686+00:00</create_date>
        <update_date>2026-02-18T11:19:14.494502+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/giscloud/gis_cloud_publisher_for_qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/giscloud/gis_cloud_publisher_for_qgis]]></repository>
        <tags><![CDATA[postgis,cloud,wfs,server,wms,gis,online gis,webgis,online data sharing,gis cloud]]></tags>
        <downloads>29080</downloads>
        <average_vote>4.157675911794116</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mappia Publisher" version="2.11.0" plugin_id="1963">
        <description><![CDATA[Share your maps online (raster and shape) as a profissional. Easily make your QGIS maps online 24/7 (for free, no private server required). (Beta Access, please report any error)]]></description>
        <about><![CDATA[Mappia is an online mapping platform accessible for everyone. Easy and free to share your maps online. (Beta Access, please report any issue)
_
Video Tutorial example: &lt;a href=&#x27;https://mappia.earth/mappia_publisher/#mappia_video_topics&#x27;&gt;https://mappia.earth/mappia_publisher/#mappia_video_topics&lt;/a&gt;
_
Publish all your maps, and customize an interactive platform.
Now Raster support with infinite zoom, Point Vectors with access to attributes, share maps by download, and much more.
We keep improving the Layer Vector Support.
The raster support was improved, there is no zoom limit anymore.
_
The Mappia is used in many projects (csr.ufmg.br/csr/projeto/) like: the amazon worth evaluation (csr.ufmg.br/amazones), and fire risk areas identification in real time in Brazilian cerrado (csr.ufmg.br/fipcerrado).
_
We developed an simplified WMS map protocol, as part of a 4 years research, to serve the maps over any File Storage service. Just create a FREE GitHub account and start sharing your maps online today. This platform allows the customization of the map interactions and layout in an user friendly interface.
_
For the complete menu of customization options and examples, please access: http://mappia.earth/.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.1</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://mappia.earth]]></homepage>
        <file_name>mappia_publisher.2.11.0.zip</file_name>
        <icon>/media/packages/2024/icon_WGOsDS7.png</icon>
        <author_name><![CDATA[Danilo da Silveira Figueira, Rubia Souza]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mappia_publisher/version/2.11.0/download/</download_url>
        <uploaded_by><![CDATA[asfixia]]></uploaded_by>
        <create_date>2020-02-05T20:46:28.955100+00:00</create_date>
        <update_date>2024-11-04T18:29:22.365578+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MappiaEarth/mappia_publisher/issues]]></tracker>
        <repository><![CDATA[https://github.com/MappiaEarth/mappia_publisher]]></repository>
        <tags><![CDATA[vector,raster,shapefile,project,web,openlayers,analysis,wfs,wms,tiles,geometry,layers]]></tags>
        <downloads>60320</downloads>
        <average_vote>4.473566485092498</average_vote>
        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MGRS Tools" version="3.1.2" plugin_id="1964">
        <description><![CDATA[Tools to capture and zoom to MGRS coordinates, create MGRS geometries, and create a grid zone designator layer.]]></description>
        <about><![CDATA[This plugin provides MGRS zoom to and capture capabilities derived from the Lat Lon Tools plugin. Because of user requests to have separate MGRS zoom to and capture capabilities, this plugin was created. It also creates an MGRS Grid Zone Designator overlay layer and can create points, lines, polygons, and bounding from pasted MGRS coordinates.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-mgrs-plugin/#readme]]></homepage>
        <file_name>mgrs.3.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_DiO0bv7.png</icon>
        <author_name><![CDATA[Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mgrs/version/3.1.2/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2020-02-06T21:21:56.636276+00:00</create_date>
        <update_date>2026-03-13T13:28:52.914485+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-mgrs-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-mgrs-plugin]]></repository>
        <tags><![CDATA[capture,zoom,coordinate,move to,mgrs,gzd,grid zone designator]]></tags>
        <downloads>27663</downloads>
        <average_vote>4.3887669786950365</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Preview Mode Plugin" version="1.0.1" plugin_id="1966">
        <description><![CDATA[Adds a toolbar for quickly switching the map preview (color blind) modes.]]></description>
        <about><![CDATA[Having to go through the menu to turn on and off the different Preview
Modes is cumbersome when trying to make changes to colors and check
quickly if the changes work for various color perceptions or for grayscale
printing. Having something right on the screen to toggle the modes
makes it much quicker and easier to find.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raymondnijssen/qgis_preview_mode_plugin]]></homepage>
        <file_name>qgis_preview_mode_plugin.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_protanope_DWvcAjV.svg</icon>
        <author_name><![CDATA[Raymond Nijssen, Michele Tobias]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_preview_mode_plugin/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[raymondnijssen]]></uploaded_by>
        <create_date>2020-02-10T22:10:07.321436+00:00</create_date>
        <update_date>2026-01-29T09:31:59.357695+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raymondnijssen/qgis_preview_mode_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/raymondnijssen/qgis_preview_mode_plugin]]></repository>
        <tags><![CDATA[map,color,grayscale,protanope,deuteranope,mono,normal,gray scale,mode,monochrome,blindness,preview,toolbar]]></tags>
        <downloads>1735</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KP Find" version="3.2.0" plugin_id="1967">
        <description><![CDATA[Finds geodetic distance along and to the side of a line]]></description>
        <about><![CDATA[Measures geodetic distance along a line, i.e. the chainage (in KP - kilometer points) and offset.
Clicking copies the information to the clipboard. Can generate chainage points, geodetic and cartesian.
Can also make a copy of a point layer with new attributes for KP and distance-off-line (DOL), Lat and Lon.
Please note: perpendicularity changes with each CRS and the distortions it creates - the chainage points are
those perpendicular in the CRS of the line layer.
If more than one feature in the line layer is present, the user will be prompted to choose one by feature ID.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Asratum]]></homepage>
        <file_name>KP_find.3.2.0.zip</file_name>
        <icon>/media/packages/2025/main_icon_Jx8H5XM.png</icon>
        <author_name><![CDATA[Milen Iliev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/KP_find/version/3.2.0/download/</download_url>
        <uploaded_by><![CDATA[asratum]]></uploaded_by>
        <create_date>2020-02-15T20:56:25.058498+00:00</create_date>
        <update_date>2025-08-20T10:10:04.281014+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Asratum/KP_find/issues]]></tracker>
        <repository><![CDATA[https://github.com/Asratum/KP_find]]></repository>
        <tags><![CDATA[python,chainage,qgis3,geodetic distance,distance along line,kp]]></tags>
        <downloads>11770</downloads>
        <average_vote>4.349782510874456</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FilterLayersAtOnce" version="2.1" plugin_id="1968">
        <description><![CDATA[Filters multiple visible layers at once with attributes]]></description>
        <about><![CDATA[Filters multiple visible layer at once with custom given attributes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/muratkendir/FilterLayersAtOnce]]></homepage>
        <file_name>FilterLayersAtOnce-master.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_0M67NZ5.png</icon>
        <author_name><![CDATA[Murat Kendir]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FilterLayersAtOnce-master/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[muratkendir]]></uploaded_by>
        <create_date>2020-02-17T07:43:40.517220+00:00</create_date>
        <update_date>2026-03-25T22:15:39.554846+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/muratkendir/FilterLayersAtOnce/issues]]></tracker>
        <repository><![CDATA[https://github.com/muratkendir/FilterLayersAtOnce]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8943</downloads>
        <average_vote>4.24946881639795</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MESMA" version="1.0.8" plugin_id="1984">
        <description><![CDATA[Processing tools for the MESMA (Multiple Endmember Spectral Mixture Analysis) unmixing algorithm.]]></description>
        <about><![CDATA[MESMA (Multiple Endmember Spectral Mixture Analysis) is a common unmixing technique in the fieldof remote sensing. This suite of processing tools allows you to unmix your image with MESMA (with multi-level fusion, stable zone unmixing, ...) and post-process the MESMA results (visualisation tool, shade normalisation, soft to hard classification).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mesma.readthedocs.io]]></homepage>
        <file_name>mesma.1.0.8.zip</file_name>
        <icon>/media/packages/2020/mesma_w2ixt33.png</icon>
        <author_name><![CDATA[Ann Crabbé]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mesma/version/1.0.8/download/</download_url>
        <uploaded_by><![CDATA[annc]]></uploaded_by>
        <create_date>2020-02-27T17:49:01.656450+00:00</create_date>
        <update_date>2020-11-29T19:40:23.132186+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://bitbucket.org/kul-reseco/mesma/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/kul-reseco/mesma/src]]></repository>
        <tags><![CDATA[remote sensing,mesma,sma,szu,viper,spectral mixture analysis]]></tags>
        <downloads>3292</downloads>
        <average_vote>3.5452933957547383</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Active FIre" version="0.3" plugin_id="1986">
        <description><![CDATA[Active Fire Data within 24 hours (MODIS)]]></description>
        <about><![CDATA[Display the latest active fire data from MODIS, from the past 24 hours.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PawelARDUINO/Active-FIre3]]></homepage>
        <file_name>active_fire.0.3.zip</file_name>
        <icon>/media/packages/2022/firicon_gIfL5uv.png</icon>
        <author_name><![CDATA[The Map Workshop]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/active_fire/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[themapworkshop]]></uploaded_by>
        <create_date>2020-02-28T11:15:29.269392+00:00</create_date>
        <update_date>2022-02-19T08:36:52.655899+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PawelARDUINO/Active-FIre3/issues]]></tracker>
        <repository><![CDATA[https://github.com/Themapworkshop/Active-Fire-Plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>39002</downloads>
        <average_vote>4.315675903265704</average_vote>
        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spectral Library Tool" version="1.1.3" plugin_id="1990">
        <description><![CDATA[The Spectral Library Tool is a suite of processing tools for multi- and hyperspectral libraries.]]></description>
        <about><![CDATA[Creating spectral libraries interactively (selecting spectra from an image or using regions of interest); visualizing the library on a plot and managing the metadata (developed by HU Berlin); Optimizing spectral libraries with IES, Ear-Masa-Cob, CRES, MUSIC, AMUSES.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://spectral-libraries.readthedocs.io]]></homepage>
        <file_name>spectral_libraries.1.1.3.zip</file_name>
        <icon>/media/packages/2020/profile_uAPVzeQ.png</icon>
        <author_name><![CDATA[Ann Crabbé]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spectral_libraries/version/1.1.3/download/</download_url>
        <uploaded_by><![CDATA[annc]]></uploaded_by>
        <create_date>2020-02-28T21:51:18.727754+00:00</create_date>
        <update_date>2020-12-12T15:44:18.997911+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://bitbucket.org/kul-reseco/spectral-libraries/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/kul-reseco/spectral-libraries/src]]></repository>
        <tags><![CDATA[remote sensing,emc,masa,ies,cres,spectral library,cob,square array,ear,viper,endmember,spectral signal,amuses,music]]></tags>
        <downloads>8054</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spectral data loader" version="1.20" plugin_id="1993">
        <description><![CDATA[Loads spectral data]]></description>
        <about><![CDATA[Loads spectral data into a layer. Possible to create a customised layer. To be used to import a set of geolocated spe files in a directory or csv-files exported from RSI radassist. The RSI csv files has a three line header and several fields that are to be collected for the spectre field, so it can not be imported using the normal csv-import function.

The spectra can be displayed using the plugin Spectre Viewer.
&lt;b&gt;Usage&lt;/b&gt;
The mission field can be left blank. The text will be used to name a new layer and will be added to the name of any new layer.
For files with data from one detector, spectre2 and dose2, livetime2 and detcount2 will be left blank.

The plugin will also install some new functions to do calculations on spectra for the field calculator. All these functions can be found in the group Gamma]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/qgisspectrereader]]></homepage>
        <file_name>DataLoader.1.20.zip</file_name>
        <icon>/media/packages/2024/icon_ep26HkF.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DataLoader/version/1.20/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2020-03-04T20:35:27.266873+00:00</create_date>
        <update_date>2024-12-02T16:41:11.548208+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/qgisspectrereader]]></tracker>
        <repository><![CDATA[https://github.com/sickel/qgisspectrereader]]></repository>
        <tags><![CDATA[spectrometry,spectral data,gamma]]></tags>
        <downloads>7266</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Altitudecorrector" version="1.2" plugin_id="1995">
        <description><![CDATA[Calculates altitude correction for airborne gamma spectroemtry data]]></description>
        <about><![CDATA[Prepares data to calculate parameters to do an altitude correction using a land / water altitude spiral. It needs the raw data from the flight and a polygon layer defining water and land lines.

Select the data layer and the field that contains the measurements. Then select the field that holds the altitude data. Select the layer defining the water and land part of the altitude spiral, then the field designating water and land and which labels used for land and water. Press &quot;Run&quot; and the data will be processed

The water plot and land plot tabs will show those two data sets to see that the data are correct. The fit data will be found under &quot;Fit data&quot;.

If numpy is not installed, data marked with land and water can be saved to be fitted using other software, e.g. R. See the R-script tab for an example to do the fitting in R

The plugin will install the formula altitudecorr(&quot;valuefield&quot;,&quot;altitudefield&quot;,water0,waterslope,attenuation) -&gt; Value at 1 meter under the group Gamma. Using the parameters calculated by this plugin, the formula can be used for height correction of aerial data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/altitudecorrector]]></homepage>
        <file_name>altitudecorrector.1.2.zip</file_name>
        <icon>/media/packages/2024/icon_Oy2XhHh.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/altitudecorrector/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2020-03-08T18:25:31.729792+00:00</create_date>
        <update_date>2024-02-22T07:33:39.785847+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/altitudecorrector]]></tracker>
        <repository><![CDATA[https://github.com/sickel/altitudecorrector]]></repository>
        <tags><![CDATA[radioactivity,spectrometry,gamma,airborne,contamination]]></tags>
        <downloads>9974</downloads>
        <average_vote>2.8997100289971005</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lock Zoom to Tile Scale" version="3.1.2" plugin_id="1999">
        <description><![CDATA[Lock the QGIS canvas scale/zoom level for EPSG:3857 and EPSG:4326 projects to predefined scales that are optimal for viewing XYZ and WMTS tiles.]]></description>
        <about><![CDATA[If the QGIS scale does not match the scale of tiles delivered by a WMTS or XYZ map server, then the incoming tiles are resized to fit the QGIS canvas. The result is that the imagery and text can be degraded and the text may become hard to read. If the QGIS scale matches the scale of the incoming tiles, then the best clarity of the map is achieved. This plugin locks the zoom level to the map server&#x27;s predefined scales.

The plugin is enabled when the QGIS CRS is either EPSG:3857 or EPSG:4326 and a layer has been added to the QGIS project. To lock the layer scale, select &quot;Plugins-&gt;Lock zoom to tile scale-&gt;Lock zoom scale&quot; from the QGIS menu or else select the icon from the toolbar.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-lockzoom-plugin/#readme]]></homepage>
        <file_name>lockzoom.3.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_XBBsFlF.png</icon>
        <author_name><![CDATA[Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lockzoom/version/3.1.2/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2020-03-12T21:01:42.481334+00:00</create_date>
        <update_date>2026-03-14T14:01:04.890698+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-lockzoom-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-lockzoom-plugin]]></repository>
        <tags><![CDATA[zoom,epsg:4326,wmts,lock,zoom to scale,epsg:3857,xyz tiles]]></tags>
        <downloads>13216</downloads>
        <average_vote>4.411505205576142</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sentinel-2 Download" version="3.5.7" plugin_id="2007">
        <description><![CDATA[This plugin allows users to download the Sentinel-2 Satellite image from Google Earth Engine into QGIS and save to Google Drive.]]></description>
        <about><![CDATA[This plugin allows downloading the satellite images Sentinel-2 into QGIS at any time according to the administrative boundaries of the commune to support the task of updating forest changes and reviewing the current status of forests in payment for forest environmental services in Vietnam. And of course, you can download the image everywhere you want. To make the plugin better and better, please send your comments and/or discussions at FanPage https://facebook.com/lamnghiep4.0 or email to nguyenvanthi@ifee.edu.vn. Thank you in advance!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://ifee.edu.vn]]></homepage>
        <file_name>sentinel2_download.3.5.7.zip</file_name>
        <icon>/media/packages/2022/icon_6kbj7zf.png</icon>
        <author_name><![CDATA[IFEE with contribution of Nguyen Van Thi, Tran Xuan Hoa, Le Sy Doanh, Pham Van Duan, Michael Dufty]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sentinel2_download/version/3.5.7/download/</download_url>
        <uploaded_by><![CDATA[nguyenvanthi]]></uploaded_by>
        <create_date>2020-03-16T16:27:07.736827+00:00</create_date>
        <update_date>2022-05-12T04:58:30.085691+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nguyenvanthi2020/Sentinel2-Downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/nguyenvanthi2020/Sentinel2-Download]]></repository>
        <tags><![CDATA[python,qgis,google earth engine,satellite image]]></tags>
        <downloads>117870</downloads>
        <average_vote>3.6908755374951134</average_vote>
        <rating_votes>110</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Covid19 Tracker" version="0.2" plugin_id="2008">
        <description><![CDATA[This plugin tracks COVID19 live]]></description>
        <about><![CDATA[This plugin tracks the data from the spread of COVID19 and plot it in the desktop for stathistical purposes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://homepage]]></homepage>
        <file_name>covid19_tracker.0.2.zip</file_name>
        <icon>/media/packages/2020/coronacon_9Vxuzed.png</icon>
        <author_name><![CDATA[The Map Workshop]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/covid19_tracker/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[themapworkshop]]></uploaded_by>
        <create_date>2020-03-17T08:40:15.170173+00:00</create_date>
        <update_date>2020-12-21T10:42:18.504131+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://bugs]]></tracker>
        <repository><![CDATA[https://github.com/Themapworkshop/COVID19TRACKER]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>18163</downloads>
        <average_vote>3.408935957456479</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AGIS" version="1.4.5" plugin_id="2009">
        <description><![CDATA[Archaeological GIS, toolbox for Slovenian Archaeologists.]]></description>
        <about><![CDATA[EN: Plugin helps seting up GIS project for archaeologists or anyone else that needs same layers for the area of Republic of Slovenia.
Data is provided by Slovenian Ministry of Culture, Surveying and Mapping Authority and Geological Survey of Slovenia.
Plugin was partially developed within my work at Centre for Preventive Archeology, IPCH Slovenia. It continues to be maintained on a voluntary basis.

SI: Vtičnik je v pomoč ob vzpostavitvi GIS projekta za arheologe ali kogarkoli, ki potrebuje iste sloje za območje Republike Slovenije.
Dostop do podatkov omogočata Ministrstvo za kulturo, Geodetska uprava RS in Geologški zavod Slovenije. Sprva razvit v okviru Centra za preventivno arheologijo, ZVKDS, se vtičnik še naprej vzdržuje kot prostovoljni projekt.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/matjash/AGIS]]></homepage>
        <file_name>agis.1.4.5.zip</file_name>
        <icon>/media/packages/2026/agis_logo.png</icon>
        <author_name><![CDATA[Matjaž Mori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/agis/version/1.4.5/download/</download_url>
        <uploaded_by><![CDATA[matjash]]></uploaded_by>
        <create_date>2020-03-19T14:26:09.700654+00:00</create_date>
        <update_date>2026-01-17T20:23:41.667492+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/matjash/AGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/matjash/AGIS]]></repository>
        <tags><![CDATA[python,geology,archaeology,cadastre,lidar,slovenia]]></tags>
        <downloads>60668</downloads>
        <average_vote>4.299914001719966</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGeoloGIS" version="1.9.0" plugin_id="2010">
        <description><![CDATA[Visualization of well logs in QGIS]]></description>
        <about><![CDATA[Visualization of well logs in QGIS]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/Oslandia/QGIS/QGeoloGIS/]]></homepage>
        <file_name>QGeoloGIS.1.9.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGeoloGIS/version/1.9.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2020-03-20T09:37:49.482445+00:00</create_date>
        <update_date>2021-06-28T15:08:02.821221+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/QGIS/QGeoloGIS/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/QGIS/QGeoloGIS/]]></repository>
        <tags><![CDATA[geology,well,graph,plot,logs]]></tags>
        <downloads>20168</downloads>
        <average_vote>3.9330711285914273</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Archiwalna Ortofotomapa" version="1.1.2" plugin_id="2014">
        <description><![CDATA[Pozwala na wczytanie do QGIS archiwalnej ortofotomapy z geoportal.gov.pl. EN: Allows user to add archival orthophotomaps of Poland]]></description>
        <about><![CDATA[Pozwala na podczytanie w QGIS archiwalnej ortofotomapy na podstawie usług z geoportal.gov.pl.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://envirosolutions.pl/wtyczki-qgis/archiwalna-ortofotomapa/]]></homepage>
        <file_name>archiwalna_ortofotomapa.1.1.2.zip</file_name>
        <icon>/media/packages/2026/archiwalna_logo_agVZJwv.svg</icon>
        <author_name><![CDATA[EnviroSolutions Sp. z o.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/archiwalna_ortofotomapa/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[envirosolutions]]></uploaded_by>
        <create_date>2020-03-25T13:04:11.521682+00:00</create_date>
        <update_date>2026-04-16T08:09:40.513658+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/envirosolutionspl/archiwalna_ortofotomapa/issues]]></tracker>
        <repository><![CDATA[https://github.com/envirosolutionspl/archiwalna_ortofotomapa]]></repository>
        <tags><![CDATA[python,time,poland,basemap,geoportal,gugik,envirosolutions,orthophotomap,old,ortofotomapa,polska,satelita,podkład,archiwalna]]></tags>
        <downloads>55105</downloads>
        <average_vote>3.999870971904132</average_vote>
        <rating_votes>31</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ESDL loader" version="1.3" plugin_id="2016">
        <description><![CDATA[Load an ESDL file in Qgis]]></description>
        <about><![CDATA[Energy System Description Language (ESDL) is an xml based format used to describe energy systems (see https://energytransition.gitbook.io/esdl/ for details). Requires pyecore library to be installed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/ESDL_loader/]]></homepage>
        <file_name>ESDL_loader.1.3.zip</file_name>
        <icon>/media/packages/2020/esdl_UzoHJxY.png</icon>
        <author_name><![CDATA[Daniel Muysken]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ESDL_loader/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[danielm]]></uploaded_by>
        <create_date>2020-03-26T19:32:53.966466+00:00</create_date>
        <update_date>2020-04-30T23:24:39.510259+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Geodan/esdl_qgis_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Geodan/esdl_qgis_plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1750</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ClusterPoints" version="6.1" plugin_id="2018">
        <description><![CDATA[Cluster Points conducts clustering of points based on their mutual distance to each other or based on supplemental information from attributes. The user can select between the K-Means or Fuzzy C-Means algorithms and (agglomerative) hierarchical clustering with several different link functions. To find the best possible grouping of points, both geographical coordinates and numerical fields can be incorporated into the algorithm to a varying degree.]]></description>
        <about><![CDATA[Sometimes it is requisite to determine distinct groups of points on a map which are closest to each other. To automatize this process, Cluster Points allows you to find a predefined number of groups with mutually close points. &lt;br&gt;&lt;br&gt;Different cluster algorithms are provided in this comprehensive GIS implementation. The user may choose from the K-Means or Fuzzy C-Means algorithms, hierarchical clustering with SLINK or hierarchical clustering with the Lance-Williams distance updates together with a cluster feature preprocessing (similar to BIRCH). All versions output an explicit cluster ID for individual points. The Fuzzy C-Means algorithm additionally outputs cluster membership probabilities for individual points. &lt;br&gt;&lt;br&gt;The user is offered the option to prescribe multiple numericals fields which can be incorporated into the spatial clustering by a prescribed percentage. Depending on this percentage, the clustering is rather location-based or attribute-based. &lt;br&gt;&lt;br&gt;This plugin was started during the project phase of a GIS-Analyst training course in Berlin (&lt;a href=https://gis-trainer.de&gt;https://gis-trainer.de&lt;/a&gt;).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://jjenkner.com.de/ClusterPoints]]></homepage>
        <file_name>clusterpoints.6.1.zip</file_name>
        <icon>/media/packages/2020/cluster_5REXp5p.png</icon>
        <author_name><![CDATA[Johannes Jenkner]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/clusterpoints/version/6.1/download/</download_url>
        <uploaded_by><![CDATA[jjenkner]]></uploaded_by>
        <create_date>2020-03-30T11:15:13.154597+00:00</create_date>
        <update_date>2023-08-18T05:52:37.378747+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jjenkner/ClusterPoints/issues]]></tracker>
        <repository><![CDATA[https://github.com/jjenkner/ClusterPoints]]></repository>
        <tags><![CDATA[points,clustering,cluster,grouping,machine learning,hierarchical,k-means,birch,link function,c-means]]></tags>
        <downloads>36560</downloads>
        <average_vote>4.09746103753567</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MonParcellaire" version="3.34.13" plugin_id="2019">
        <description><![CDATA[Manage your parcels]]></description>
        <about><![CDATA[Manage your parcels]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jhemmi/MonParcellaire/wiki]]></homepage>
        <file_name>mon_parcellaire.3.34.13.zip</file_name>
        <icon>/media/packages/2025/icon_Sb30a0e.png</icon>
        <author_name><![CDATA[jhemmi.eu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mon_parcellaire/version/3.34.13/download/</download_url>
        <uploaded_by><![CDATA[jhemmi]]></uploaded_by>
        <create_date>2020-03-30T13:04:02.892208+00:00</create_date>
        <update_date>2025-06-09T21:08:25.906207+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jhemmi/MonParcellaire/issues]]></tracker>
        <repository><![CDATA[https://github.com/jhemmi/MonParcellaire]]></repository>
        <tags><![CDATA[parcels parcellaire opensource opendata python]]></tags>
        <downloads>4987</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TomTom Locator Filter" version="0.2" plugin_id="2021">
        <description><![CDATA[This is a plugin which adds a TomTom Locator Filter (Geocoder) to QGIS.]]></description>
        <about><![CDATA[A Locator Filter implements the fetching of data from internal or external sources.Read more: &lt;a href=&quot;https://developer.tomtom.com/search-api&quot;&gt;https://developer.tomtom.com/search-api&lt;/a&gt;
In order to use this plugin you need to register in TomTom and grab a free API Key here:  &lt;a href=&quot;https://developer.tomtom.com/user/me/apps/add&quot;&gt;https://developer.tomtom.com/user/me/apps/add&lt;/a&gt;  with “Search API” in the product list.
Then create a new variable named “tomtom_api_key” in your QGIS project (Project/Properties menu)
]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yecarrillo/tomtom_locator_filter]]></homepage>
        <file_name>tomtom_locator_filter.0.2.zip</file_name>
        <icon>/media/packages/2020/icon_VDfRGpK.svg</icon>
        <author_name><![CDATA[Eduin Carrillo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tomtom_locator_filter/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[yecarrillo]]></uploaded_by>
        <create_date>2020-04-02T20:27:28.073543+00:00</create_date>
        <update_date>2020-04-02T20:27:28.844107+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yecarrillo/tomtom_locator_filter/issues]]></tracker>
        <repository><![CDATA[https://github.com/yecarrillo/tomtom_locator_filter]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3011</downloads>
        <average_vote>3.437285169676895</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Closest Points" version="1.0.1" plugin_id="2023">
        <description><![CDATA[get the closest points for one layer to another]]></description>
        <about><![CDATA[This plugin extracts the closests points for all features of a given layer to another layer using the euklidean distance.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jagodki/Closest-Points]]></homepage>
        <file_name>closest_points.1.0.1.zip</file_name>
        <icon>/media/packages/2020/all_closest_points_icon_EC8DqaJ.png</icon>
        <author_name><![CDATA[Christoph Jung]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/closest_points/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[jagodki]]></uploaded_by>
        <create_date>2020-04-06T18:00:44.885628+00:00</create_date>
        <update_date>2020-07-14T18:41:06.819420+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jagodki/Closest-Points/issues]]></tracker>
        <repository><![CDATA[https://github.com/jagodki/Closest-Points]]></repository>
        <tags><![CDATA[vector,closest,point,points,nearest]]></tags>
        <downloads>16342</downloads>
        <average_vote>4.832527912014664</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Neural Network MLPClassifier" version="1.0.7" plugin_id="2029">
        <description><![CDATA[The Neural Network MLPClassifier predicts classified images using supervised classification.]]></description>
        <about><![CDATA[Supervised classification of an multi-band image using an MLP (Multi-Layer Perception) Neural Network Classifier. Based on the Neural Network MLPClassifier by scikit-learn. Dependencies: pyqtgraph, matplotlib and sklearn. See homepage for clear installation instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mlp-image-classifier.readthedocs.io]]></homepage>
        <file_name>lnns.1.0.7.zip</file_name>
        <icon>/media/packages/2020/lnns_logo.png</icon>
        <author_name><![CDATA[Ann Crabbé]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lnns/version/1.0.7/download/</download_url>
        <uploaded_by><![CDATA[annc]]></uploaded_by>
        <create_date>2020-04-13T19:34:53.278097+00:00</create_date>
        <update_date>2020-11-29T20:17:51.459177+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/kul-reseco/lnns/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/kul-reseco/lnns/src]]></repository>
        <tags><![CDATA[remote sensing,supervised classification,image classification,multi-layer perception classifier,mlp,neural network]]></tags>
        <downloads>11795</downloads>
        <average_vote>4.368191147834324</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LoS Tools" version="2.1.0" plugin_id="2037">
        <description><![CDATA[This plugin creates and analyzes lines-of-sight (LoS) and also provides supporting tools.]]></description>
        <about><![CDATA[This plugin creates and analyzes lines-of-sight (LoS) and also provides supporting tools. The plugin is focused on point to point visibility, in contrast to classic viewshed analysis which is point to area. Besides that it provides tools for identification of horizon points (on LoS), horizon lines (from a set of LoS) and also additional useful tools related to visibility analysis. Take a look at the homepage for details and more information.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://jancaha.github.io/qgis_los_tools/]]></homepage>
        <file_name>los_tools.2.1.0.zip</file_name>
        <icon>/media/packages/2025/los_tools_icon_22x51u4.png</icon>
        <author_name><![CDATA[Jan Caha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/los_tools/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[cahik]]></uploaded_by>
        <create_date>2020-04-17T13:36:52.660298+00:00</create_date>
        <update_date>2025-06-23T10:42:26.775598+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JanCaha/qgis_los_tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/JanCaha/qgis_los_tools]]></repository>
        <tags><![CDATA[analysis,dem,landscape,visibility,dsm,los]]></tags>
        <downloads>16578</downloads>
        <average_vote>4.344677769732078</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="JagdKataster" version="0.1.2" plugin_id="2039">
        <description><![CDATA[This plugin creates german hunt cadastres from German cadastre data (therefore not localized)]]></description>
        <about><![CDATA[QGIS-Erweiterung zur Erstellung von Jagdkatastern
auf Basis von ALKIS-Daten (NAS-Daten).
Diese Erweiterung is von der Erweiterung &quot;norGIS ALKIS-Einbindung&quot; abhängig.

* Anleitungen unter https://jagdkataster.org/anleitungen/
* Spenden/Schenkung unter https://jagdkataster.org/schenkung.html]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://jagdkataster.org]]></homepage>
        <file_name>huntregister.0.1.2.zip</file_name>
        <icon>/media/packages/2020/logo_roZBXQi.svg</icon>
        <author_name><![CDATA[Simon Hodrus]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/huntregister/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[skorpsim]]></uploaded_by>
        <create_date>2020-04-21T14:20:02.455967+00:00</create_date>
        <update_date>2020-08-23T11:56:19.208323+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/skorpsim/JagdKataster/issues]]></tracker>
        <repository><![CDATA[https://github.com/skorpsim/JagdKataster]]></repository>
        <tags><![CDATA[cadastre,nas,germany,alkis,jagd,jagdkataster]]></tags>
        <downloads>4142</downloads>
        <average_vote>4.24946881639795</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="USGS Stream Mapper" version="0.5" plugin_id="2040">
        <description><![CDATA[Display upstream/downstream tributaries and basins using USGS NWIS site numbers]]></description>
        <about><![CDATA[Quickly display basins and channel flow lines for streams within the NHD network using a USGS NWIS site numbers. All that is needed is a USGS site number and a way to traverse to network.&lt;br&gt;This is a wrapper for the &lt;a href=&quot;https://waterdata.usgs.gov/blog/nldi-intro/&quot;&gt;Hydro-Network Linked Data Index API&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/aaraney/usgs-stream-mapper]]></homepage>
        <file_name>usgs_stream_mapper.0.5.zip</file_name>
        <icon>/media/packages/2025/icon_RWvfS5r.png</icon>
        <author_name><![CDATA[Austin Raney]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/usgs_stream_mapper/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[aaraney]]></uploaded_by>
        <create_date>2020-04-21T22:00:41.235149+00:00</create_date>
        <update_date>2025-04-27T17:53:45.256591+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aaraney/usgs-stream-mapper/issues]]></tracker>
        <repository><![CDATA[https://github.com/aaraney/usgs-stream-mapper]]></repository>
        <tags><![CDATA[python,water,hydrology,river,flooding,usgs]]></tags>
        <downloads>23787</downloads>
        <average_vote>4.4541405326788475</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="French Address" version="1.3.0" plugin_id="2043">
        <description><![CDATA[Research and location based on the &lt;a href=&quot;https://geo.api.gouv.fr/adresse&quot;&gt;API BAN&lt;/a&gt; provided by the French government .]]></description>
        <about><![CDATA[For research an address, simply write the desired address in the plugin&#x27;s research bar.
For best results, enter a house number, street name, and zip code.
You can also retrieve the address based on the coordinates by activating the tool &quot;Click on the map to capture an address&quot;.
The cursor will change to a cross and you can start catching.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Gui0delp/french_address]]></homepage>
        <file_name>french_address.1.3.0.zip</file_name>
        <icon>/media/packages/2022/icon_iXiyOFZ.png</icon>
        <author_name><![CDATA[Guillaume DELPLANQUE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/french_address/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[gui0delp]]></uploaded_by>
        <create_date>2020-04-23T08:32:34.391521+00:00</create_date>
        <update_date>2022-01-13T07:59:57.463863+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Gui0delp/french_address/issues]]></tracker>
        <repository><![CDATA[https://github.com/Gui0delp/french_address]]></repository>
        <tags><![CDATA[search,address,api,ban,french,government]]></tags>
        <downloads>22786</downloads>
        <average_vote>4.7497031435535275</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FRMS Downloader" version="2.2" plugin_id="2044">
        <description><![CDATA[This plugin to download FRMS Map]]></description>
        <about><![CDATA[This plugin to download FRMS map (Forest Resources Monitoring System) from FORMIS (Management Information System for the Forestry Sector in Viet Nam) and convert to NFIS (National Forest Inventory and Survey) data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://ifee.edu.vn/en/page/FRMS-Downloader.html]]></homepage>
        <file_name>frms_downloader.2.2.zip</file_name>
        <icon>/media/packages/2021/icon_hhIxd4S.png</icon>
        <author_name><![CDATA[IFEE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/frms_downloader/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[nguyenvanthi]]></uploaded_by>
        <create_date>2020-04-24T09:07:54.961995+00:00</create_date>
        <update_date>2021-01-23T09:52:45.532045+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nguyenvanthi2020/frms_downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/nguyenvanthi2020/frms_downloader]]></repository>
        <tags><![CDATA[map,forest,frms,nfis,ifee]]></tags>
        <downloads>4815</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Euro Data Cube" version="1.0.0" plugin_id="2045">
        <description><![CDATA[The Euro Data Cube plugin enables users to handle Euro Data Cube services directly from QGIS.]]></description>
        <about><![CDATA[The Euro Data Cube plugin provides an interface to render all the layers created in the Euro Data Cube Configuration Utility for a generated EDC-OGC url. Users can select and explore layers, parameters, and styles of each collection that is configured in the EDC configuration panel, by simply providing the generated EDC-OGC URL.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://eurodatacube.com]]></homepage>
        <file_name>EuroDataCube.1.0.0.zip</file_name>
        <icon>/media/packages/2020/favicon.ico</icon>
        <author_name><![CDATA[EOX IT Services GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/EuroDataCube/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[eurodatacube]]></uploaded_by>
        <create_date>2020-04-24T19:08:47.146642+00:00</create_date>
        <update_date>2020-04-24T19:08:47.528531+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eurodatacube/edc-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/eurodatacube/edc-qgis-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1955</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Rectanglify" version="1.0.3" plugin_id="2046">
        <description><![CDATA[Add a digitizing tool which &quot;rectanglifies&quot; selected features of a polygon vector layer]]></description>
        <about><![CDATA[Add a digitizing tool which &quot;rectanglifies&quot; selected features of a polygon vector layer]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/YoannQDQ/rectanglify]]></homepage>
        <file_name>rectanglify.1.0.3.zip</file_name>
        <icon>/media/packages/2020/icon_tioEDQc.png</icon>
        <author_name><![CDATA[Yoann Quenach de Quivillic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rectanglify/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[yquenach]]></uploaded_by>
        <create_date>2020-04-29T19:19:00.749737+00:00</create_date>
        <update_date>2020-05-07T14:19:48.909315+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/YoannQDQ/rectanglify/issues]]></tracker>
        <repository><![CDATA[https://github.com/YoannQDQ/rectanglify]]></repository>
        <tags><![CDATA[vector,python]]></tags>
        <downloads>13295</downloads>
        <average_vote>4.53811245288824</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoJson Renderer" version="v0.4" plugin_id="2047">
        <description><![CDATA[This plugins renders geojson files. The file to render is specified as a GET parameter and downloaded or located locally on the server. The qml style to use can be specified through a second parameter.]]></description>
        <about><![CDATA[Render geojson with qml]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis_server_render_geojson]]></homepage>
        <file_name>qgis_server_render_geojson.v0.4.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Matthias Kuhn (OPENGIS.ch)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_server_render_geojson/version/v0.4/download/</download_url>
        <uploaded_by><![CDATA[mkuhn]]></uploaded_by>
        <create_date>2020-05-03T17:06:14.935746+00:00</create_date>
        <update_date>2020-05-07T08:02:53.048414+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis_server_render_geojson/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis_server_render_geojson]]></repository>
        <tags><![CDATA[server,geojson,render]]></tags>
        <downloads>16673</downloads>
        <average_vote>3.768940850703792</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>True</server>
    </pyqgis_plugin><pyqgis_plugin name="GSI-VTDownloader" version="0.2.2" plugin_id="2049">
        <description><![CDATA[地理院ベクトルタイルをダウンロードしベクターレイヤーとして読み込むためのプラグイン。A plugin to download and decode GSI Vectortiles.]]></description>
        <about><![CDATA[A plugin to download and decode GSI-Vectortiles. User can choose zoom-level and source-layers to be downloaded. GSI is one of Japanese Governmental Organizations, stands for Geospatial Information Authority of Japan. https://www.gsi.go.jp/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Kanahiro/GSI-VTDownloader]]></homepage>
        <file_name>GSI-VTDownloader-master.0.2.2.zip</file_name>
        <icon>/media/packages/2021/icon_EQNcQjo.png</icon>
        <author_name><![CDATA[Kanahiro Iguchi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GSI-VTDownloader-master/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[kanahiro]]></uploaded_by>
        <create_date>2020-05-04T10:53:46.058926+00:00</create_date>
        <update_date>2021-06-14T11:56:32.689506+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kanahiro/GSI-VTDownloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kanahiro/GSI-VTDownloader]]></repository>
        <tags><![CDATA[vector,python,download,gsi,vectortile]]></tags>
        <downloads>11871</downloads>
        <average_vote>4.3938062482955065</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Move lines on points by attribute" version="3.3.1" plugin_id="2050">
        <description><![CDATA[Move lines on points by attribute (and vice versa)]]></description>
        <about><![CDATA[Modify the position of the vertices (the start-point and the end-point) of lines
to put them at the position of 2 node objects, thanks to 1 attribute of the line
that contains the 2 ids of the 2 nodes objects, with a separator. The reverse is also possible: move points on lines

&lt;b&gt;Déplace lignes sur points par attribut (et inversement)&lt;/b&gt;
Modifie la position des sommets de lignes (premier point et dernier point) pour les repositionner à l&#x27;emplacement de 2 objets ponctuels,
grâce à la valeur d&#x27;un attribut correspondant à l&#x27;identifiant de chacun de ces 2 points
(avec un séparateur spécifique entre les 2 identifiants dans la valeur d&#x27;attribut).
L&#x27;inverse est également possible: déplacer les points sur les lignes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sigmoe.fr/nouvelle-video-extension-qgis-deplace-lignes-sur-points-par-attribut]]></homepage>
        <file_name>SgmVertex2NodeByAtt.3.3.1.zip</file_name>
        <icon>/media/packages/2021/sgm_vtx2ndbatt.png</icon>
        <author_name><![CDATA[Etienne MORO]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SgmVertex2NodeByAtt/version/3.3.1/download/</download_url>
        <uploaded_by><![CDATA[emsigmoe]]></uploaded_by>
        <create_date>2020-05-04T14:11:30.157968+00:00</create_date>
        <update_date>2021-11-09T14:41:52.052832+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sigmoe/Vertex2NodeByAtt/issues]]></tracker>
        <repository><![CDATA[https://github.com/sigmoe/Vertex2NodeByAtt]]></repository>
        <tags><![CDATA[move points on lines,move lines on points,sigmoé,sigmoe]]></tags>
        <downloads>6316</downloads>
        <average_vote>4.562214861571151</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Qveg" version="5.5" plugin_id="2052">
        <description><![CDATA[This plugin loads Queensland vegetation management data from the Queensland government feature server. Layers can be loaded using property (lot-plan), regional ecosystem, or extent searches. The plugin can also load imagery, basemaps, various informative overlays, and export maps to a georeferenced PDF. A number of vector layers include styling which allows QGIS Actions to generate formatted Google Earth KML files and interogate Queensland government online databases to collect information on Accepted Development Vegetation Clearing Code (ADVCC) and Area Management Plan (AMP) notification history.]]></description>
        <about><![CDATA[Loads and displays data relevant to vegetation regulation in Queensland, Australia. Data is sourced from the Queensland government&#x27;s public web feature server based on a search of LotPlan number(s). LotPlan numbers uniquely identify individual properties in Queensland, Australia. Information on vegetation regulation in Queensland is available here: https://www.qld.gov.au/environment/land/management/vegetation . It is recommended that users seek advice via the contact information in the above webpage prior to clearing vegetation in Queensland and obtained a vegetation management property report here: https://www.qld.gov.au/environment/land/management/vegetation/maps/map-request]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Variatur/Qveg]]></homepage>
        <file_name>qveg.5.5.zip</file_name>
        <icon>/media/packages/2023/icon_wHJcROc.png</icon>
        <author_name><![CDATA[Otto Pattemore and Gary Pattemore]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qveg/version/5.5/download/</download_url>
        <uploaded_by><![CDATA[gpattemore]]></uploaded_by>
        <create_date>2020-05-06T05:01:59.878838+00:00</create_date>
        <update_date>2023-11-11T23:15:28.006856+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Variatur/Qgeo/issues]]></tracker>
        <repository><![CDATA[https://github.com/Variatur/Qveg]]></repository>
        <tags><![CDATA[kmz,kml,pdf,cadastre,river,basemap,ecosystem,australia,queensland,regional ecosystem,advcc,koala,vegetation regulation,wetland,waterway,habitat,tenure,amp,statewide landcover and tree study]]></tags>
        <downloads>17294</downloads>
        <average_vote>4.181438051086265</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Tree Icons" version="1.5.3" plugin_id="2058">
        <description><![CDATA[Layer tree icons customization]]></description>
        <about><![CDATA[Adds some actions in the QGIS layer tree context menu to set a custom icon and/or font on any node
Includes a resource browser to use QGIS icons
Icons can also be set for a given node type (i.e. group, or polygon layer)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://yoannqdq.github.io/qgis-layer-tree-icons]]></homepage>
        <file_name>layertreeicons.1.5.3.zip</file_name>
        <icon>/media/packages/2021/icon_gk7U4SH.png</icon>
        <author_name><![CDATA[Yoann Quenach de Quivillic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layertreeicons/version/1.5.3/download/</download_url>
        <uploaded_by><![CDATA[yquenach]]></uploaded_by>
        <create_date>2020-05-11T16:15:30.143014+00:00</create_date>
        <update_date>2021-08-02T12:02:01.830149+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/YoannQDQ/layer-tree-icons/issues]]></tracker>
        <repository><![CDATA[https://github.com/YoannQDQ/layer-tree-icons]]></repository>
        <tags><![CDATA[python,style,layer tree,customization,icons]]></tags>
        <downloads>12488</downloads>
        <average_vote>4.199580041995801</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qgis2fds" version="1.0.2" plugin_id="2067">
        <description><![CDATA[Export terrains to NIST FDS for fire simulation]]></description>
        <about><![CDATA[The open source plugin to export terrains and landuse to the NIST Fire Dynamics Simulator (FDS) (https://pages.nist.gov/fds-smv/) for wildfire simulation and atmospheric dispersion of fire pollutants.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firetools/qgis2fds/wiki]]></homepage>
        <file_name>qgis2fds.1.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_EDTNVoa.png</icon>
        <author_name><![CDATA[Emanuele Gissi, Ruggero Poletto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis2fds/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[emanuelegissi]]></uploaded_by>
        <create_date>2020-05-16T11:26:33.489589+00:00</create_date>
        <update_date>2023-06-08T09:28:36.695495+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firetools/qgis2fds/issues]]></tracker>
        <repository><![CDATA[https://github.com/firetools/qgis2fds]]></repository>
        <tags><![CDATA[python,fire,cfd,wilfire,wui]]></tags>
        <downloads>11422</downloads>
        <average_vote>4.529145344391506</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BDOT10k_GML_SHP" version="2.0.1" plugin_id="2071">
        <description><![CDATA[This tool can be used to import BDOT10k shapefiles or GML files and adds them in the QGIS canvas. Also, layes can be symbolized to be similar to the topographic map in 1:10 000 scale.]]></description>
        <about><![CDATA[BDOT10k_GML_SHP imports BDOT10k shapefiles or GML files.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MarcinLebiecki/BDOT10k_GML_SHP]]></homepage>
        <file_name>BDOT10k_GML_SHP_Loader.2.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_WzIcU9u.png</icon>
        <author_name><![CDATA[Marcin Lebiecki - Główny Urząd Geodezji i Kartografii]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BDOT10k_GML_SHP_Loader/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[marcinlebiecki]]></uploaded_by>
        <create_date>2020-05-25T08:28:47.534535+00:00</create_date>
        <update_date>2024-03-22T13:06:49.288588+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MarcinLebiecki/BDOT10k_GML_SHP/issues]]></tracker>
        <repository><![CDATA[https://github.com/MarcinLebiecki/BDOT10k_GML_SHP]]></repository>
        <tags><![CDATA[python,gml,bdot10k]]></tags>
        <downloads>78338</downloads>
        <average_vote>4.10408116497573</average_vote>
        <rating_votes>48</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IMAER Plugin" version="3.6.4" plugin_id="2073">
        <description><![CDATA[Plugin for handling AERIUS and UK Air Pollution Assessment Service (APAS) IMAER files]]></description>
        <about><![CDATA[This plugin is co-developed between the Dutch and British government and supports from version 3.4.1 working with IMAER files for NL AERIUS and UK APAS. IMAER files comply with the international gml standards.

Shared functionality:
- Creates IMAER files for generic sources or road networks to import in AERIUS/APAS based on available GIS information.
- Imports IMAER files with calculation results as QGIS layers.
- Has algorithms to calculate sums, differences and maximums of multiple result layers.

NL AERIUS specific functionality:
- Provides a GUI to the AERIUS Connect API.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.99</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/aerius/IMAER-QGIS-plugin/]]></homepage>
        <file_name>ImaerPlugin.3.6.4.zip</file_name>
        <icon>/media/packages/2025/icon_import_calc_result_e9BwSAA.svg</icon>
        <author_name><![CDATA[Raymond Nijssen, AERIUS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ImaerPlugin/version/3.6.4/download/</download_url>
        <uploaded_by><![CDATA[raymondnijssen]]></uploaded_by>
        <create_date>2020-05-29T15:38:43.739244+00:00</create_date>
        <update_date>2025-07-19T04:58:11.461398+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aerius/IMAER-QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/aerius/IMAER-QGIS-plugin/]]></repository>
        <tags><![CDATA[calculator,gml,pollution,connect,imaer,aerius,uk,stikstof,nitrogen,nl,air,apas]]></tags>
        <downloads>11631</downloads>
        <average_vote>4.72684301427143</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Google Earth Engine Data Catalog" version="0.5.0" plugin_id="2074">
        <description><![CDATA[This QGIS plug-in lets you explore satellite images and geospatial datasets from Google Earth Engine.]]></description>
        <about><![CDATA[Search, view and download satellite imagery and geospatial datasets from Google Earth Engine.

A Google Earth Engine account linked to a Cloud Project is required. Additionally, the EE Python API (earthengine-api) must be installed and authenticated.

To install on Windows (OSGeo4W Shell):

&gt; python -m pip install --upgrade pip
&gt; python -m pip install earthengine-api --user

To install on Linux (Ubuntu based):

$ sudo apt update
$ sudo apt upgrade
$ sudo apt install python3-pip
$ pip3 install earthengine-api --user

To authenticate on QGIS Terminal Python (Ctrl+Alt+P):

&gt;&gt;&gt; import ee
&gt;&gt;&gt; ee.Authenticate()

The Cloud Project name must be assigned to GOOGLE_CLOUD_PROJECT environment variable.
This can be done in QGIS (Settings -&gt; Options -&gt; System -&gt; Environment).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sandroklippel/qgis_gee_data_catalog/wiki]]></homepage>
        <file_name>qgis_gee_data_catalog.0.5.0.zip</file_name>
        <icon>/media/packages/2024/icon_Mh32V5P.png</icon>
        <author_name><![CDATA[Sandro Klippel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_gee_data_catalog/version/0.5.0/download/</download_url>
        <uploaded_by><![CDATA[sandroklippel]]></uploaded_by>
        <create_date>2020-05-31T06:54:45.049587+00:00</create_date>
        <update_date>2024-09-25T20:14:10.296031+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/sandroklippel/qgis_gee_data_catalog/issues]]></tracker>
        <repository><![CDATA[https://github.com/sandroklippel/qgis_gee_data_catalog]]></repository>
        <tags><![CDATA[raster,search,export,landsat,google,tms,remote sensing,layers,sentinel]]></tags>
        <downloads>335668</downloads>
        <average_vote>4.191145653340784</average_vote>
        <rating_votes>136</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS2Wegue" version="1.1.1" plugin_id="2075">
        <description><![CDATA[Converts a QGIS project into a Wegue configuration file]]></description>
        <about><![CDATA[Wegue is application template for building webmapping projects. It only requires a single configuration file, which usually is created manually. This plugin takes the layers and the settings of a QGIS project and creates a basic configuration file which can be consumed by Wegue.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/meggsimum/qgis2wegue]]></homepage>
        <file_name>qgis2wegue.1.1.1.zip</file_name>
        <icon>/media/packages/2022/logo_Cehjj11.png</icon>
        <author_name><![CDATA[Jakob Miksch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis2wegue/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[jakobmiksch]]></uploaded_by>
        <create_date>2020-05-31T14:35:36.511859+00:00</create_date>
        <update_date>2022-04-13T12:49:44.812071+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/meggsimum/qgis2wegue/issues]]></tracker>
        <repository><![CDATA[https://github.com/meggsimum/qgis2wegue]]></repository>
        <tags><![CDATA[web,openlayers,export,wfs,wms,geojson,wegue,vue.js]]></tags>
        <downloads>14670</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UMEP for processing" version="2.2.8" plugin_id="2079">
        <description><![CDATA[Urban Multi-scale Environmental Predictor (UMEP) for the QGIS processing framework]]></description>
        <about><![CDATA[UMEP for processing toolbox. UMEP is an extensive plugin designed for urban climate in general and climate sensitive planning applications in particular. The plugin consist of a pre-processor, a processor and a post-processor. This plugin is a collaboration between University of Gothenburg, University of Helsinki and University of Reading.

Some of the tools in UMEP requires Python libraries not included in the default QGIS installation. See Section 2.3 in the UMEP homepage.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://umep-docs.readthedocs.io/]]></homepage>
        <file_name>processing_umep.2.2.8.zip</file_name>
        <icon>/media/packages/2023/icon_umep_LVIk0BR.png</icon>
        <author_name><![CDATA[Fredrik Lindberg, Nils Wallenberg, Jeremy Bernard]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_umep/version/2.2.8/download/</download_url>
        <uploaded_by><![CDATA[biglimp]]></uploaded_by>
        <create_date>2020-06-05T14:17:09.198458+00:00</create_date>
        <update_date>2026-02-18T15:22:16.881852+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UMEP-dev/UMEP-processing/issues]]></tracker>
        <repository><![CDATA[https://github.com/UMEP-dev/UMEP-processing]]></repository>
        <tags><![CDATA[modelling,shadow,urban planning,urban climate,urban geometry,urban morphology]]></tags>
        <downloads>38662</downloads>
        <average_vote>4.302899912123875</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Curve Number Generator" version="2.2.2" plugin_id="2080">
        <description><![CDATA[Curve Number Generator plugin has multiple algorithms to generate the curve number layer for any area of interest using different datasets.]]></description>
        <about><![CDATA[Curve Number Generator plugin has multiple algorithms to generate the curve number layer for any area of interest using different datasets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ar-siddiqui/curve_number_generator]]></homepage>
        <file_name>curve_number_generator.2.2.2.zip</file_name>
        <icon>/media/packages/2024/icon_DkQMvYO.png</icon>
        <author_name><![CDATA[Abdul Raheem Siddiqui]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/curve_number_generator/version/2.2.2/download/</download_url>
        <uploaded_by><![CDATA[someone191]]></uploaded_by>
        <create_date>2020-06-06T22:32:17.786921+00:00</create_date>
        <update_date>2024-08-05T10:41:57.092442+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ar-siddiqui/curve_number_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/ar-siddiqui/curve_number_generator]]></repository>
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        <average_vote>4.565151229692323</average_vote>
        <rating_votes>69</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapTiler" version="3.6" plugin_id="2081">
        <description><![CDATA[Street and satellite base maps with vector tiles]]></description>
        <about><![CDATA[- Beautiful base maps using OpenStreetMap data powered by vector tiles - served from MapTiler Cloud.

- Satellite map of the entire world, outdoor map, hillshading and landcover, Ordnance Survey Open ZoomStack, Dutch Kadaster via Cartiqo, or GSI data in Japan - or your own datasets!

- Global digital elevation model (DEM) for the entire planet.

- Customize language &amp; colors of your map with a few clicks!

- Import your own Mapbox GL JSON style or TileJSON from any URL - even hosted on your own server.

- Print the maps using vector PDF. (It might cause spikes in Cloud export requests.)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.24.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://maptiler.link/qgisplugin]]></homepage>
        <file_name>qgis-maptiler-plugin.3.6.zip</file_name>
        <icon>/media/packages/2026/icon_maptiler_iPp29py.svg</icon>
        <author_name><![CDATA[MapTiler]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-maptiler-plugin/version/3.6/download/</download_url>
        <uploaded_by><![CDATA[maptiler]]></uploaded_by>
        <create_date>2020-06-08T14:09:52.434120+00:00</create_date>
        <update_date>2026-03-31T14:32:50.766342+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/maptiler/qgis-maptiler-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/maptiler/qgis-maptiler-plugin]]></repository>
        <tags><![CDATA[vector,raster,map,geocoding,style,openstreetmap,osm,print,dem,tiles,terrain,elevation,ordnance survey,cadastre,cadastral,open,geojson,styles,model,maps,japan,hillshade,wmts,mapbox,xyz,dataviz,gsi,basemaps,vector-tiles,maptiler,openmaptiles,reader,tilejson,gl,quickmapservices,cartiqo,kadaster,zoomstack,outdoor,carto,digital,rgb,ocean,customize]]></tags>
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        <average_vote>3.7172810343901066</average_vote>
        <rating_votes>428</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer tiles mapcanvas" version="1.4" plugin_id="2087">
        <description><![CDATA[Create a layer with grid of tiles from extent and zoom of map canvas]]></description>
        <about><![CDATA[This plugin create a layer with grid of tiles from extent and zoom of map canvas.
The goal of plugin is checking a XYZ tiles server, showing the grid of tiles
for the extent and zoom of current map canvas.
The plugin can used for download the image tiles.
* See if server license permit the download.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/layertilesmapcanvas/wiki]]></homepage>
        <file_name>layertilesmapcanvas.1.4.zip</file_name>
        <icon>/media/packages/2021/layertilesmapcanvas_Vjz1fKh.png</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layertilesmapcanvas/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2020-06-09T19:26:17.064742+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/layertilesmapcanvas/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/layertilesmapcanvas]]></repository>
        <tags><![CDATA[tiles,tms,xyz]]></tags>
        <downloads>16883</downloads>
        <average_vote>4.181438051086265</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BKG Geocoder" version="1.3.3" plugin_id="2089">
        <description><![CDATA[Geokodierung mit dem BKG Geokodierungsdienst]]></description>
        <about><![CDATA[Plugin für die Geokodierung von Adressen mit Hilfe des Geokodierungsdienstes des Bundesamtes für Kartographie und Geodäsie (BKG). Die Voraussetzung für die Nutzung des BKG Geocoders ist der Erwerb einer Lizenz für einen der Dienste gdz_geokodierung bzw. gdz_geokodierung_bund. Die Nutzung des Dienstes erfordert eine Authentifizierung. Beratung und Lizenzerwerb über das Dienstleistungszentrum des BKG (E-Mail: DLZ@bkg.bund.de)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.bkg.bund.de/]]></homepage>
        <file_name>bkggeocoder.1.3.3.zip</file_name>
        <icon>/media/packages/2022/icon_lkc1NHY.png</icon>
        <author_name><![CDATA[Bundesamt für Kartographie und Geodäsie]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bkggeocoder/version/1.3.3/download/</download_url>
        <uploaded_by><![CDATA[aleho]]></uploaded_by>
        <create_date>2020-06-15T12:59:34.802359+00:00</create_date>
        <update_date>2022-10-28T11:59:30.562369+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/de-bkg/qgis-geocoder/issues]]></tracker>
        <repository><![CDATA[https://github.com/de-bkg/qgis-geocoder]]></repository>
        <tags><![CDATA[geocode,geocoder,geokoder,bkg,geokodierung]]></tags>
        <downloads>11479</downloads>
        <average_vote>4.499678594386116</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Better Editor" version="1.5.0" plugin_id="2090">
        <description><![CDATA[Improve the embedded python editor]]></description>
        <about><![CDATA[Tweak the default python editor
Add toggle comment, code formatting (using black), smart autocomplete (using jedi), tab navigation and more]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/YoannQDQ/qgis-better-editor]]></homepage>
        <file_name>bettereditor.1.5.0.zip</file_name>
        <icon>/media/packages/2020/icon_wyIi26u.png</icon>
        <author_name><![CDATA[Yoann Quenach de Quivillic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bettereditor/version/1.5.0/download/</download_url>
        <uploaded_by><![CDATA[yquenach]]></uploaded_by>
        <create_date>2020-06-16T20:43:05.824192+00:00</create_date>
        <update_date>2020-07-24T15:51:59.072100+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/YoannQDQ/qgis-better-editor/issues]]></tracker>
        <repository><![CDATA[https://github.com/YoannQDQ/qgis-better-editor]]></repository>
        <tags><![CDATA[python,editor,comment,autocomplete]]></tags>
        <downloads>7845</downloads>
        <average_vote>4.856449078703042</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Israeli Open Data Loader" version="1.1.0" plugin_id="2095">
        <description><![CDATA[Easy access and loading of Israeli open data resources]]></description>
        <about><![CDATA[This plugin enables you to quickly add Israeli open data resources. We support Government ministries and agencies, Municipalities (paid version only), NGO / non-profits and Open Data websites.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://kaplanopensource.co.il/services/qgis/]]></homepage>
        <file_name>israeli_opendata_loader.1.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_1sjDl4T.png</icon>
        <author_name><![CDATA[Kaplan Open Source Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/israeli_opendata_loader/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[kaplan]]></uploaded_by>
        <create_date>2020-06-19T10:50:38.763025+00:00</create_date>
        <update_date>2023-05-29T20:29:36.415169+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KaplanOpenSource/qgis-open-data/issues]]></tracker>
        <repository><![CDATA[https://github.com/KaplanOpenSource/qgis-open-data]]></repository>
        <tags><![CDATA[python,wfs,wms,webservice,open data,israel]]></tags>
        <downloads>7490</downloads>
        <average_vote>2.6340820955586453</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Autocurve" version="0.5" plugin_id="2099">
        <description><![CDATA[Automatic cleanup of arcs after editing geometries (convert to curve and harmonize arc centers)]]></description>
        <about><![CDATA[Adds a toggle that automatically runs the convert to curve algorithm after edit commands such as split or merge.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/curved_split_merge]]></homepage>
        <file_name>autocurve.0.5.zip</file_name>
        <icon>/media/packages/2023/autocurve_EFFNSKv.svg</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/autocurve/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[redl]]></uploaded_by>
        <create_date>2020-06-24T15:59:25.510939+00:00</create_date>
        <update_date>2022-03-23T17:52:04.352099+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/curved_split_merge/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/curved_split_merge]]></repository>
        <tags><![CDATA[vector,python,curves]]></tags>
        <downloads>9729</downloads>
        <average_vote>3.8745156855393077</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Flight Planner" version="1.2.0" plugin_id="2104">
        <description><![CDATA[Flight Planner allows you to design photogrammetric flight. Plugin is also equipped in simple tools allowing to asses the flight project (or already done flight).]]></description>
        <about><![CDATA[[REFACTORED VERSION] Flight Planner allows you to make a plan of photogrammetric flight (block or corridor type) and get 4 layers: projection centres layer, waypoints layer, photo range layer and flight line layer. You can also evaluate the project (or already done flight), by providing &#x27;projection centres&#x27; layer with Exterior Orientation parameters in attribute table. In the results you can get: real photos coverage (footprint); number of overlapping images or raster showing GSD.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/UAV-GeoLAB/flight_planner]]></homepage>
        <file_name>flight_planner.1.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_zQkydL8.png</icon>
        <author_name><![CDATA[Szymon Węgliński - maintainer (WUT), Julia Białas - maintainer (WUT), Jakub Gruca - plugin author (AGH)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flight_planner/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[szyweg]]></uploaded_by>
        <create_date>2020-07-01T15:52:12.790736+00:00</create_date>
        <update_date>2026-03-29T10:47:32.018577+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UAV-GeoLAB/flight_planner/issues]]></tracker>
        <repository><![CDATA[https://github.com/UAV-GeoLAB/flight_planner]]></repository>
        <tags><![CDATA[evaluation,photogrammetry,planning,flight,gsd]]></tags>
        <downloads>25739</downloads>
        <average_vote>4.285637756468635</average_vote>
        <rating_votes>56</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Seismic Positioning Data Importer" version="0.5" plugin_id="2108">
        <description><![CDATA[This plugin imports Seismic Positioning or Navigation data from various formats such as P1/11 (P111), P1/90 (P190), SPS.]]></description>
        <about><![CDATA[This plugin is used to import Seismic Positioning data in published data exchange formats such as P1/11, P1/90 or SPS. It loads the data in csv (for points) and shapefiles (for lines).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gsingh7/SeisPos_Import]]></homepage>
        <file_name>seismic_importer.0.5.zip</file_name>
        <icon>/media/packages/2025/icon_Diydror.png</icon>
        <author_name><![CDATA[Gurpreet Singh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/seismic_importer/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[gsingh7]]></uploaded_by>
        <create_date>2020-07-03T10:27:25.888847+00:00</create_date>
        <update_date>2025-04-24T13:26:54.634908+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gsingh7/SeisPos_Import/issues]]></tracker>
        <repository><![CDATA[https://github.com/gsingh7/SeisPos_Import]]></repository>
        <tags><![CDATA[vector,shapefile,import,seismic,p1/11,p1/90,p111,sps,p190]]></tags>
        <downloads>7415</downloads>
        <average_vote>3.9061279335020784</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FeltTegn" version="1.25" plugin_id="2109">
        <description><![CDATA[Processes archaeological survey data for Danish Museums]]></description>
        <about><![CDATA[This plugin is intended to enable archaeological museums in Denmark to use Qgis to process survey data from excavations. It takes GNSS and total station data as coded text files and generates the appropriate geometries and attributes based on feature codes. It is intended to mirror the functionality of MapDigi for MapInfo, currently used by many of the museums.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/archaeodav/felttegn]]></homepage>
        <file_name>felt_tegn.1.25.zip</file_name>
        <icon>/media/packages/2022/icon_1MmPzDr.png</icon>
        <author_name><![CDATA[David Stott]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/felt_tegn/version/1.25/download/</download_url>
        <uploaded_by><![CDATA[archaeodave]]></uploaded_by>
        <create_date>2020-07-06T07:35:00.837859+00:00</create_date>
        <update_date>2022-08-17T09:36:17.456378+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/archaeodav/felttegn/issues]]></tracker>
        <repository><![CDATA[https://github.com/archaeodav/felttegn]]></repository>
        <tags><![CDATA[python,survey,archeology]]></tags>
        <downloads>7085</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="carte25k" version="0.8" plugin_id="2110">
        <description><![CDATA[Map layout creation with grid and coordinates]]></description>
        <about><![CDATA[This plugin has to be used in order to create automatically a paper map with grid and coordinates, without the different tasks of the manuel way. The default extent will try to fit the canvas extent. The user can chose another map center by first click on the cross and then click on the desired map center. The output CRS can be chosen in the plugin. After le layout creation, the user can open it and modify its settings.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/jbeilin/carte25k]]></homepage>
        <file_name>carte25k.0.8.zip</file_name>
        <icon>/media/packages/2023/icon_gH9Jf88.png</icon>
        <author_name><![CDATA[Jacques Beilin - ENSG-Geomatique]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/carte25k/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[jbeilin]]></uploaded_by>
        <create_date>2020-07-08T16:49:59.076225+00:00</create_date>
        <update_date>2023-02-02T15:24:15.362837+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/jbeilin/carte25k/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/jbeilin/carte25k]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4887</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cloud removal from sentinel 2" version="0.4" plugin_id="2111">
        <description><![CDATA[Sentinel 2 removed cloud and mosaic based on range date. Then using over the world by draw rectangle and vietnam administrative boundary to clip images.]]></description>
        <about><![CDATA[This plugin adds a button in your toolbar QGIS to search and download sentinel 2 images, remove cloud and mosaic by range date. Then clip based on administrative boundary (Only Vietnam) and clip by draw a rectangle for any location on the world. The user can be download NDVI index, NBR index in this version .This product developed by GFD (http://gfd.com.vn/)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://gfd.com.vn/]]></homepage>
        <file_name>sentinel2_removed_cloud_rec.0.4.zip</file_name>
        <icon>/media/packages/2023/icon_o3mwJAw.png</icon>
        <author_name><![CDATA[GFD]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sentinel2_removed_cloud_rec/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[hoalegfd]]></uploaded_by>
        <create_date>2020-07-11T13:45:32.578042+00:00</create_date>
        <update_date>2023-06-08T09:42:01.050425+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lequynhhoa/s2_download]]></tracker>
        <repository><![CDATA[https://github.com/lequynhhoa/s2_download]]></repository>
        <tags><![CDATA[nbr,ndvi,vietnam,vn,gfd,s2,sentinel2,cloud removal]]></tags>
        <downloads>20658</downloads>
        <average_vote>4.699765011749412</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Land Productivity Analysis Tool (LPAT)" version="0.11" plugin_id="2114">
        <description><![CDATA[The plugin analyzes and assesses land productivity]]></description>
        <about><![CDATA[Land productivity analysis tools plugin aims to enhance the assessment of extent and severity of land productivity in the region using earth observation technology.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/katxeus/land_productivity_analysis_tool]]></homepage>
        <file_name>land_productivity_analysis_tool.0.11.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[RCMRD]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/land_productivity_analysis_tool/version/0.11/download/</download_url>
        <uploaded_by><![CDATA[katxeus]]></uploaded_by>
        <create_date>2020-07-14T06:17:33.617083+00:00</create_date>
        <update_date>2020-07-18T07:23:25.638392+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/katxeus/land_productivity_analysis_tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/katxeus/land_productivity_analysis_tool]]></repository>
        <tags><![CDATA[ecology,analysis,landsat,statistics,land cover,landscape,remote sensing,processing]]></tags>
        <downloads>7683</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Criar Pontos nos Rios" version="2.0" plugin_id="2117">
        <description><![CDATA[Create START, END, CONFLUIT points in linear hydrographs.]]></description>
        <about><![CDATA[Tool creates start and end points and confluences of linear hydrographs, start and end points are created from the elevation (Z) of each coordinate, at each point and the name of the river is placed, in case of having rivers crossing always catch the most relevant. The shape needs to be linear and 3D, in the plugin we have the option where you select the layer, the option where you select the column where the hydrography name is located, and where the shape of points will be saved. (&quot;Ferramenta cria pontos de início e fim e confluentes das hidrografias linear, pontos de início e fim são criados a partir da elevação(Z) de cada coordenada, em cada ponto e colocado o nome do rio, em casos de ter rios se cruzando sempre pegara o mais relevante. O shape precisa ser linear e 3D, no plugin temos a opção onde seleciona a camada, a opção onde seleciona a coluna onde se encontra o nome da hidrografia, e onde vai ser salvo o shape de pontos.&quot;)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AntonioTLeandro/Plugins-Qgis-3.0/tree/master/criarpontosrios]]></homepage>
        <file_name>CriarPontosRios.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_FbnmFzv.png</icon>
        <author_name><![CDATA[Antônio Teles]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CriarPontosRios/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[antonioteles]]></uploaded_by>
        <create_date>2020-07-16T13:17:25.464622+00:00</create_date>
        <update_date>2025-05-06T00:24:29.682693+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AntonioTLeandro/Plugins-Qgis-3.0/issues]]></tracker>
        <repository><![CDATA[https://github.com/AntonioTLeandro/Plugins-Qgis-3.0/tree/master/criarpontosrios]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>5105</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MTF Estimator" version="1.4.2" plugin_id="2119">
        <description><![CDATA[Robust ESF, PSF, FWHM &amp; MTF estimation from low quality targets and synthetic edge creation.]]></description>
        <about><![CDATA[The algorithm implemented here is based on the slanted-edge sub-pixel sampling concept. It uses a tilted knife-edge image to fit a numeric model to estimate a PSF from which the MTF is obtained.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JorgeGIlG/MTF_Estimator]]></homepage>
        <file_name>mtf_estimator.1.4.2.zip</file_name>
        <icon>/media/packages/2026/icon_2Y9YOiY.png</icon>
        <author_name><![CDATA[Jorge Gil]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mtf_estimator/version/1.4.2/download/</download_url>
        <uploaded_by><![CDATA[jogg]]></uploaded_by>
        <create_date>2020-07-20T11:25:17.652910+00:00</create_date>
        <update_date>2026-04-08T09:05:26.711410+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JorgeGIlG/MTF_Estimator/issues]]></tracker>
        <repository><![CDATA[https://github.com/JorgeGIlG/MTF_Estimator/tree/master/qgis_plugin/mtf_estimator]]></repository>
        <tags><![CDATA[python,analysis,edge,mtf,psf,esf]]></tags>
        <downloads>3267</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TerrCtrl" version="0.1" plugin_id="2122">
        <description><![CDATA[The QGIS 3 plugin “TerrCtrl”, short for territorial control, which calculates the location and extent of territory controlled by warring parties during civil wars after each combat.]]></description>
        <about><![CDATA[This plugin calculates and visualizes territorial control status based on violent conflict event, using a hybrid transport network to approximate reachable space within a given time. It relies on data measuring the occurrence and location of violent events to identify the degree to which a warring party exercises control. The territory is calculated as a drive-time buffer from the conflict location to estimate the region where the warring party can project military power within a specified time window. The size and shape of the territory is determined by both on-road and off-road movements on a hybrid transportation network with both existing road/railway data and hexagon-fishnet-based artificial road data. This design guarantees its applicability to countries or regions with inferior transportation infrastructure where off-road movement of the military is common. The results can be used to reflect a quasi-real-time status of territorial controls of a specific region on the map. They can also serve as the input of further scientific analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bobyellow/TerrCtrl]]></homepage>
        <file_name>territorial_control.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_omAv9Oj.png</icon>
        <author_name><![CDATA[Ran Tao]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/territorial_control/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[bobyellow315]]></uploaded_by>
        <create_date>2020-07-21T19:57:47.240931+00:00</create_date>
        <update_date>2020-07-21T19:57:47.930298+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bobyellow/TerrCtrl/issues]]></tracker>
        <repository><![CDATA[https://github.com/bobyellow/TerrCtrl/tree/master/territorial_control]]></repository>
        <tags><![CDATA[territory,conflict,hybrid road network]]></tags>
        <downloads>1733</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SMC" version="0.1" plugin_id="2124">
        <description><![CDATA[Selectionne les entites contenues dans des communes choisies par l&#x27;utilisateur]]></description>
        <about><![CDATA[Ce plugin permet de selectionner toutes les entites (points, lignes, polygones) contenues dans des communes choisies par l&#x27;utilisateur. La selection s&#x27;effectue sur la totalite des couches du projet.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://gtihub.com/infogeo54/SMC.git]]></homepage>
        <file_name>SMC.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_DRLekbQ.png</icon>
        <author_name><![CDATA[Infogeo54]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SMC/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[nekika]]></uploaded_by>
        <create_date>2020-07-22T06:41:06.269479+00:00</create_date>
        <update_date>2020-07-22T06:41:06.451438+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://gtihub.com/infogeo54/SMC.git]]></tracker>
        <repository><![CDATA[http://gtihub.com/infogeo54/SMC.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1000</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ANA Data Acquisition" version="1.0" plugin_id="2126">
        <description><![CDATA[The ANA Data Acquisition tool automatically downloads several pluviometric and fluviometric stations provided by the brazilian National Water Agency (ANA)]]></description>
        <about><![CDATA[The ANA Data Acquisition tool automatically downloads several pluviometric and fluviometric stations provided by the National Water Agency (ANA). It was designed as part of the Large Basin Model (MGB) plugin in Quantum GIS software, however, due to the different uses that hydrological data can have, the tool is now also available in an independent plugin. In addition to the features present in the MGB plugin, the ANA Data Acquisition plugin offers the option to select the stations of interest directly in the QGIS interface and two reports, one with data consistency level and other with data availability.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.ufrgs.br/hge/]]></homepage>
        <file_name>ana_data_acquisition.1.0.zip</file_name>
        <icon>/media/packages/2021/icon_UQiljiE.png</icon>
        <author_name><![CDATA[HGE-IPH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ana_data_acquisition/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[ingriptry]]></uploaded_by>
        <create_date>2020-07-26T14:07:12.548541+00:00</create_date>
        <update_date>2021-10-08T12:25:42.967606+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HGE-IPH/ANA-Data-Acquisition]]></tracker>
        <repository><![CDATA[https://github.com/HGE-IPH/ANA-Data-Acquisition]]></repository>
        <tags><![CDATA[hydrology;data download;precipitation;discharge;ana]]></tags>
        <downloads>26400</downloads>
        <average_vote>4.541477438440065</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lines Ranking" version="2.4.2" plugin_id="2129">
        <description><![CDATA[Plugin for ranking line features based on the position of the starting point]]></description>
        <about><![CDATA[The plugin is designed for ranking segments of linear vector objects using a starting point.
Can be used for calculations in hydrology, for example Strahler, Shreve, and topological stream order, and in related geoscience tasks.
Official plugin documentation: https://linesranking.readthedocs.io/en/latest/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ChrisLisbon/QGIS_LinesRankingPlugin]]></homepage>
        <file_name>lines_ranking.2.4.2.zip</file_name>
        <icon>/media/packages/2026/icon_deXrcYr.png</icon>
        <author_name><![CDATA[Julia Borisova, Mikhail Sarafanov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lines_ranking/version/2.4.2/download/</download_url>
        <uploaded_by><![CDATA[dreamlone]]></uploaded_by>
        <create_date>2020-07-30T09:52:05.084571+00:00</create_date>
        <update_date>2025-01-05T08:56:06.934107+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ChrisLisbon/QGIS_LinesRankingPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ChrisLisbon/QGIS_LinesRankingPlugin]]></repository>
        <tags><![CDATA[vector,network,lines,network ranking,lines ranking]]></tags>
        <downloads>8710</downloads>
        <average_vote>4.833199077803394</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SLYR (Community Edition)" version="7.0.0" plugin_id="2131">
        <description><![CDATA[ESRI Style, LYR, MXD, stylx, lyrx to QGIS symbology converter (Community Edition)]]></description>
        <about><![CDATA[Converts ESRI .style databases and vector .lyr files to corresponding QGIS symbology and layers. For full LYR, MXD, stylx and other ArcGIS/ArcGIS Pro file conversion support see https://north-road.com/slyr/.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://north-road.com/slyr/]]></homepage>
        <file_name>slyr_community.7.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_plSObGQ.png</icon>
        <author_name><![CDATA[Nyall Dawson]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/slyr_community/version/7.0.0/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2020-07-31T06:45:18.121693+00:00</create_date>
        <update_date>2026-02-17T01:14:59.161419+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/north-road/slyr]]></tracker>
        <repository><![CDATA[https://github.com/north-road/slyr]]></repository>
        <tags><![CDATA[style,esri,arcgis,arcmap,lyr,mxd,arcgis pro,stylx,lyrx,aprx]]></tags>
        <downloads>252071</downloads>
        <average_vote>2.9449174786274037</average_vote>
        <rating_votes>581</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Projekt-Check" version="1.4.4" plugin_id="2132">
        <description><![CDATA[Projekt-Check Profi-Check - tool to assist in the planning of residential, commercial and industrial areas in Germany.]]></description>
        <about><![CDATA[Mit Projekt-Check Profi-Check können Kommunen, Planungsbüros, Politik sowie Bürgerinnen und Bürger neue Flächenplanungen vorprüfen.

Hinweis: Bitte schließen im Falle eines Updates alle offenen Hilfe-PDFs. Falls dennoch eine Fehlermeldung auftritt, starten Sie bitte QGIS neu und führen Sie das Update erneut ohne geöffnetes Projekt-Check-Plugin aus.
Benötigt lxml- and pandas-Bibliotheken (ab QGIS 3.10+ standardmäßig enthalten)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.projekt-check.de/]]></homepage>
        <file_name>projektcheck.1.4.4.zip</file_name>
        <icon>/media/packages/2026/icon_fEx4FfN.png</icon>
        <author_name><![CDATA[GGR-Planung, HafenCity University Hamburg, ILS Dortmund]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/projektcheck/version/1.4.4/download/</download_url>
        <uploaded_by><![CDATA[maxbo]]></uploaded_by>
        <create_date>2020-07-31T08:03:19.388538+00:00</create_date>
        <update_date>2026-01-27T09:18:02.414805+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/projektcheck/projektcheck-proficheck-qgis/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/projektcheck/projektcheck-proficheck-qgis]]></repository>
        <tags><![CDATA[projektcheck,proficheck,planung,rpc,profi-check,projekt-check]]></tags>
        <downloads>6340</downloads>
        <average_vote>4.799040191961607</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Pobieracz danych GUGiK" version="1.3.2" plugin_id="2133">
        <description><![CDATA[Pozwala na pobranie danych z zasobów GUGiK z interfejsu QGIS. EN: Allows user to download spatial data of Poland based on GUGiK&#x27;s services.(Poland only)]]></description>
        <about><![CDATA[Wtyczka pozwala na pobieranie danych przestrzennych udostępnianych przez GUGiK.
Możliwe jest pobieranie:
* danych za pomocą wskazania punktu na mapie
* danych poprzez warstwę poligonową, liniową lub punktową
* paczki danych dla wybranej jednostki podziału terytorialnego

Możliwe jest pobieranie następujących danych:
* LAZ (LIDAR) - dane skaningu laserowego
* ASCII GRID (NMT/NMPT) - Numeryczny Model Terenu i Numeryczny Model Pokrycia Terenu
* GeoTiff (ortofotomapa/CIR) - Ortofotomapa cyfrowa i Zobrazowanie w bliskiej podczerwieni
* GeoTiff (obrazy intensywności) - Produkt powstały ze skaningu laserowego w formie rastrowej
* Paczki danych BDOT10k (ZIP)
* Paczki danych BDOO (ZIP)

W wersji 1.0. dodano również możliwość pobierania następujących danych:
* Paczki danych PRNG (ZIP)
* Paczki danych PRG (ZIP)
* Paczki danych modeli 3D budynków (ZIP)
* Paczki danych EGiB (wersja beta)
* Paczki archiwalnych danych BDOT10k (ZIP)
* Zestawienia zbiorcze EGiB (XLS)
* Opracowania tyflologiczne (PDF/TIFF/JPG/CDR) - mapy dla niewidomych i słabowidzących
* Osnowy geodezyjnej
- Podstawowa osnowa geodezyjna (XLS/PDF)
- Archiwalne kartoteki osnów (TIFF/PDF)
* Aerotriangulacji (ASC/CSF/ISPM)
* Linii mozaikowania (SHZ)
* Wizualizacji kartograficznej BDOT10k (PDF)
* Zdjęć lotniczych (JPG)

W wersji 1.2.0 dodano:
* Paczki danych z modelami 3D drzew
* Paczki danych z modelami 3D mesh]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://envirosolutions.pl/wtyczki-qgis/pobieracz-danych-gugik/]]></homepage>
        <file_name>pobieracz_danych_gugik.1.3.2.zip</file_name>
        <icon>/media/packages/2026/pobieracz_logo_Hn8BYjF.svg</icon>
        <author_name><![CDATA[EnviroSolutions Sp. z o.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pobieracz_danych_gugik/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[envirosolutions]]></uploaded_by>
        <create_date>2020-08-03T13:44:21.854995+00:00</create_date>
        <update_date>2026-04-16T08:19:28.408411+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/envirosolutionspl/pobieracz_danych_gugik/issues]]></tracker>
        <repository><![CDATA[https://github.com/envirosolutionspl/pobieracz_danych_gugik]]></repository>
        <tags><![CDATA[python,dem,dtm,grid,reflectance,poland,open data,lidar,point cloud,geoportal,laz,las,gugik,geotiff,nmt,envirosolutions,ortofotomapa,polska,bdot10k,otwarte dane,dane,ortophotomap,pobieracz,nmpt,bdot,ortofotomapy,pobieranie,chmura punktów,obrazy intensywności,intensywność,bdoo,prg,egib,prng,wizualizacja kartograficzna,państwowy rejestr granic,mozaikowanie,osnowa,archiwalne kartoteki osnów,opracowania tyflologiczne,aerotriangulacja,państwowy rejestr nazw geograficznych,modele 3d budynkow,linie mozaikowania,osnowa geodezyjna,budynki 3d,zestawienia zbiorcze egib,ewidencja gruntów i budynków,zdjęcia lotnicze]]></tags>
        <downloads>196457</downloads>
        <average_vote>4.521218064795117</average_vote>
        <rating_votes>259</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="JSON to Waterbodies for QGIS" version="0.1" plugin_id="2135">
        <description><![CDATA[Creates linear and areal waterbody features from JSON.]]></description>
        <about><![CDATA[This plugin creates waterbody features from an Overpass API query JSON file. The plugin will create streams, canals and rivers as linear waterbodies and lakes, ponds and reservoirs as areal waterbodies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.crowemaps.life/]]></homepage>
        <file_name>json_to_waterbodies_for_qgis.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_6psJRYP.png</icon>
        <author_name><![CDATA[Alexandra Crowe]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/json_to_waterbodies_for_qgis/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[alexncrowe]]></uploaded_by>
        <create_date>2020-08-04T19:43:28.483839+00:00</create_date>
        <update_date>2020-08-04T19:43:30.272767+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alexncrowe/JSONtoWaterbodyFeatures/issues]]></tracker>
        <repository><![CDATA[https://github.com/alexncrowe/JSONtoWaterbodyFeatures]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3928</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Digitize local coordinates" version="0.3" plugin_id="2137">
        <description><![CDATA[Digitizes in distances from a local coordinate system]]></description>
        <about><![CDATA[Input coordinates relative to a local coordinate system. E.g. when planning modifications of buildings. Make one line cover with the first line defining the x-axis of the local system. The starting point of the first line will be the origin, the difference between the start and the end of the first line defines the direction of the coordinate system. The units are as defined in the CRS of the layer. The work layer should be in the same CRS as the reference layer. The libes in the work layer can be defined either as start and end point, or as a starting point and the angle (as degrees from the y-axis) and the length. If to x and/or to y is left blank, angle and length is used. Type in the definition a line and press &quot;Add line&quot; to add it to the work layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/localdigitizer]]></homepage>
        <file_name>localcoordinates.0.3.zip</file_name>
        <icon>/media/packages/2020/icon_aLPMGK4.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/localcoordinates/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2020-08-06T05:53:26.572926+00:00</create_date>
        <update_date>2020-09-07T20:24:58.874523+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/localdigitizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/sickel/localdigitizer]]></repository>
        <tags><![CDATA[vector digitizer]]></tags>
        <downloads>17127</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GisTools" version="0.3" plugin_id="2138">
        <description><![CDATA[Gis simple tools]]></description>
        <about><![CDATA[The plugin will be help automation of the process of converting several GPX format files to other formats (MapInfo TAB, KML, ESRI Shapefile).
Only needs to select the directory with the GPX files and start the conversion.
A directory with output data will be created in the same directory.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>gistools.0.3.zip</file_name>
        <icon>/media/packages/2020/icon_0ExDwfh.png</icon>
        <author_name><![CDATA[Aleksandr Prazdnikov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gistools/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[aprazdnikov]]></uploaded_by>
        <create_date>2020-08-10T08:40:40.345233+00:00</create_date>
        <update_date>2020-09-03T04:26:34.452334+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aprazdnikov/gistools/issues]]></tracker>
        <repository><![CDATA[https://github.com/aprazdnikov/gistools]]></repository>
        <tags><![CDATA[vector,point,export,select,polygon,polyline,table,geometry,processing,layers]]></tags>
        <downloads>33106</downloads>
        <average_vote>4.665889018496917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Wetland Vulnerability Analysis Tool" version="1.1" plugin_id="2139">
        <description><![CDATA[Analyze wetland vulnerability]]></description>
        <about><![CDATA[The Wetland Vulnerability Analysis Tool assesses wetland vulnerability using scientific knowledge as well as experience from the Eastern Africa region]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.12.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/katxeus/wetland_vulnerability_analysis_tool/]]></homepage>
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        <icon></icon>
        <author_name><![CDATA[ESIPPS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wetland_vulnerability_analysis_tool/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[katxeus]]></uploaded_by>
        <create_date>2020-08-11T08:21:06.037743+00:00</create_date>
        <update_date>2020-08-17T08:23:53.900464+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/katxeus/wetland_vulnerability_analysis_tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/katxeus/wetland_vulnerability_analysis_tool/]]></repository>
        <tags><![CDATA[ecology,raster,web,analysis,landsat,wfs,wms,land cover,landscape,topography,remote sensing,webservice]]></tags>
        <downloads>6931</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Coordinate Capture" version="0.2" plugin_id="2141">
        <description><![CDATA[Capture mouse coordinates in different CRS]]></description>
        <about><![CDATA[This is a Python port of the deprecated Coordinate Capture core plugin]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/uclaros/qgis_coordinate_capture]]></homepage>
        <file_name>coordinate_capture.0.2.zip</file_name>
        <icon>/media/packages/2020/coordinate_capture.png</icon>
        <author_name><![CDATA[Stefanos Natsis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coordinate_capture/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[uclaros]]></uploaded_by>
        <create_date>2020-08-14T07:11:01.497123+00:00</create_date>
        <update_date>2020-08-14T07:11:01.722598+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/uclaros/qgis_coordinate_capture/issues]]></tracker>
        <repository><![CDATA[https://github.com/uclaros/qgis_coordinate_capture]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>206902</downloads>
        <average_vote>4.540509861419855</average_vote>
        <rating_votes>148</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WiscSIMS Tool" version="3.3.1" plugin_id="2145">
        <description><![CDATA[Useful QGIS tools for WiscSIMS sessions]]></description>
        <about><![CDATA[This QGIS plugin helps to pre-select spots and import session data for (Wisc)SIMS users.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wiscsims/wiscsims_tool]]></homepage>
        <file_name>wiscsims_tool.3.3.1.zip</file_name>
        <icon>/media/packages/2020/icon_i9v0Xr5.png</icon>
        <author_name><![CDATA[WiscSIMS (Kouki Kitajima)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wiscsims_tool/version/3.3.1/download/</download_url>
        <uploaded_by><![CDATA[saburo]]></uploaded_by>
        <create_date>2020-08-21T16:09:11.438021+00:00</create_date>
        <update_date>2024-12-11T22:13:28.341912+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wiscsims/wiscsims_tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/wiscsims/wiscsims_tool]]></repository>
        <tags><![CDATA[python,excel,import,sims]]></tags>
        <downloads>4313</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multilayer Select" version="2.0.0" plugin_id="2146">
        <description><![CDATA[Multilayer selection tools]]></description>
        <about><![CDATA[Add a toolbar to select by point/rectangle/circle across multiple vector layers
Change the active layer according to which feature was clicked
Optionaly replace the default selection actions with the multilayer actions]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://yoannqdq.github.io/qgis-multilayer-select]]></homepage>
        <file_name>multilayerselect.2.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_VIThwnM.png</icon>
        <author_name><![CDATA[Yoann Quenach de Quivillic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/multilayerselect/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[yquenach]]></uploaded_by>
        <create_date>2020-08-26T01:32:41.842113+00:00</create_date>
        <update_date>2025-06-14T23:27:43.617337+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/YoannQDQ/qgis-multilayer-select/issues]]></tracker>
        <repository><![CDATA[https://github.com/YoannQDQ/qgis-multilayer-select]]></repository>
        <tags><![CDATA[selection,feature,python,layer,maptool,select]]></tags>
        <downloads>33709</downloads>
        <average_vote>4.333202024181086</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IDEV" version="0.12" plugin_id="2147">
        <description><![CDATA[Non Official plugin about Infraestrutura Valenciana de Datos Espaciales (IDEV)]]></description>
        <about><![CDATA[Infraestructura Valenciana de Dades Espacials. The Valencian Spatial Data Infrastructure (IDEV) was created with the aim of integrating the geographic information of the Generalitat and making it accessible through the internet from the same portal, incorporating interoperable geographic information infrastructures and services. http://www.idev.gva.es/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://idev.gva.es]]></homepage>
        <file_name>idev_visor.0.12.zip</file_name>
        <icon>/media/packages/2021/icon_xQJwQWF.png</icon>
        <author_name><![CDATA[Alfonso Moya Fuero]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/idev_visor/version/0.12/download/</download_url>
        <uploaded_by><![CDATA[alfonsomoyafuero]]></uploaded_by>
        <create_date>2020-08-31T10:10:55.085886+00:00</create_date>
        <update_date>2021-10-05T12:39:14.420590+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AlfonsoMoyaFuero/idev_visor/issues]]></tracker>
        <repository><![CDATA[https://github.com/AlfonsoMoyaFuero/idev_visor]]></repository>
        <tags><![CDATA[python,web,data,cartography,idev,icv,valencia,comunitat valenciana]]></tags>
        <downloads>7508</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Navarra Cadastre" version="1.0" plugin_id="2148">
        <description><![CDATA[Plugin para la descarga y visualización directa en QGIS de los datos catastrales de la Comunidad Foral de Navarra (España)]]></description>
        <about><![CDATA[&lt;p&gt;Plugin de QGIS desarrollado por el Área de GIS y Desarrollo de la &lt;a href=&#x27;https://geoinnova.org/consultoria-desarrollo-sistemas-de-informacion-geografica/&#x27;&gt;Asociación Geoinnova&lt;/a&gt; para la descarga de datos catastrales gráficos y alfanuméricos de la Comunidad Foral del Navarra (España). La descarga usa la url disponible en la página web del Servicio de Riqueza Territorial y Tributos Patrimoniales de Navarra (SRT). &lt;a href=&#x27;https://catastro.navarra.es/descargas/&#x27;&gt;https://catastro.navarra.es/descargas/&lt;/a&gt;&lt;/br&gt;&lt;/br&gt;QGIS plugina, &lt;a href=&#x27;https://geoinnova.org/consultoria-desarrollo-sistemas-de-informacion-geografica/&#x27;&gt;Geoinnova Elkartearen&lt;/a&gt; GIS eta Garapen Arloak garatua, Nafarroako Foru Komunitateko (Espainia) katastroko datu grafikoak eta alfanumerikoak deskargatzeko. Deskargak Nafarroako Lurralde Aberastasunaren eta Ondare Zergen Zerbitzuaren webgunean eskuragarri dagoen URLa erabiltzen du &lt;a href=&#x27;https://catastro.navarra.es/descargas/&#x27;&gt;https://catastro.navarra.es/descargas/&lt;/a&gt;&lt;/br&gt;&lt;/br&gt;QGIS plugin developed by the GIS and Development Area of ​​the  &lt;a href=&#x27;https://geoinnova.org/consultoria-desarrollo-sistemas-de-informacion-geografica/&#x27;&gt;Geoinnova Association&lt;/a&gt; to download graphic and alphanumeric cadastral data from the Navarra (Spain).The download uses the url available on the website of the Navarra Territorial Wealth and Patrimonial Tax Service (SRT) &lt;a href=&#x27;https://catastro.navarra.es/descargas/&#x27;&gt;https://catastro.navarra.es/descargas/&lt;/a&gt;&lt;p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geoinnova/navarra_cadastre]]></homepage>
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        <icon>/media/packages/2020/icon_uEA7QIk.png</icon>
        <author_name><![CDATA[Geoinnova]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/navarra_cadastre-master/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[geoinnova]]></uploaded_by>
        <create_date>2020-08-31T14:52:07.626132+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoinnova/navarra_cadastre]]></tracker>
        <repository><![CDATA[https://github.com/geoinnova/navarra_cadastre]]></repository>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[A set of tools to export spatial content to Flight Simulator 2020]]></description>
        <about><![CDATA[A set of tools to export spatial content to Flight Simulator 2020]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/FlightSimulatorTools/]]></homepage>
        <file_name>FlightSimulatorTools.0.2.zip</file_name>
        <icon>/media/packages/2020/icon_ep1dfXL.png</icon>
        <author_name><![CDATA[Mathieu Pellerin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FlightSimulatorTools/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[nirvn]]></uploaded_by>
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        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/nirvn/FlightSimulatorTools]]></repository>
        <tags><![CDATA[flight,simulator,plan]]></tags>
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        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2020/icon_xXDhYoy.png</icon>
        <author_name><![CDATA[Philippe Desboeufs]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/corrector_vector/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[philipped31]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PhilippeD31/Corrector_for_Vector/issues]]></tracker>
        <repository><![CDATA[https://github.com/PhilippeD31/Corrector_for_Vector]]></repository>
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        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[This QGIS plugin contains a set of preloaded layers with information about environmental variables regarding the territory of Catalunya.]]></description>
        <about><![CDATA[This QGIS plugin is an adaptation of the Canadian Web Services plugin ([https://github.com/eswright/cgdi-qgis-services](https://github.com/eswright/cgdi-qgis-services)). This QGIS plugin contains a set of preloaded layers with information about environmental variables regarding the territory of Catalunya, Catalonia in English. Original data are open and available, but they may be scattered among several web services. The aim of this plugin is to provide a powerful summary of environmental information of Catalonia in order to help basic ecological research and nature conservation management.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
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        <icon></icon>
        <author_name><![CDATA[Nathan Torrence and edited by Juan Barreto, Wladimir Szczerban and Francisco Pérez Sampayo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/EnviroCat/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[fpsampayo]]></uploaded_by>
        <create_date>2020-09-09T11:48:41.607896+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/geomatico/EnviroCat]]></repository>
        <tags><![CDATA[wfs,wms,web services,catalonia,decision-making,environmental cartography,ecological research]]></tags>
        <downloads>2977</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenTripPlanner Plugin" version="1.0" plugin_id="2153">
        <description><![CDATA[This plugin makes OpenTripPlanner 1.5 functionalities accessible from within QGIS]]></description>
        <about><![CDATA[This Plugin makes OpenTripPlanner 1.5 functionalities accessible from within QGIS. Create Isochrones, Routes and Route-Matrices based on your local or remote OTP v1.5 instance and continue working on the results directly in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
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        <icon>/media/packages/2022/icon_3RhejPq.png</icon>
        <author_name><![CDATA[Mario Koenigbauer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OpenTripPlannerPlugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mkoenigb]]></uploaded_by>
        <create_date>2020-09-09T19:34:46.199957+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mkoenigb/OpenTripPlannerPlugin/issues]]></tracker>
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        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[A tool for constructing and visualising a graph of sightlines between urban points of interest and street network.]]></description>
        <about><![CDATA[POI Visibility Network is a QGIS plug-in that constructs graphs (networks) of unobstructed lines of sight between two types of decision points during urban travel – junctions and turning points within the street network (SN), and origins and destinations of travel, i.e. points of interest (POI). POIs are locations designated as relevant for the analysis, i.e. buildings, entrances, land parcels, amenities, stations, and other. These are point-based, linear or polygon entities, as the user might wish to encode them in the input data.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://www.lboro.ac.uk/departments/abce/staff/asya-natapov/]]></homepage>
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        <icon>/media/packages/2024/icon_lAWOuRH.png</icon>
        <author_name><![CDATA[Achituv Cohen and Asya Natapov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/poi_visibility_network/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[achituv]]></uploaded_by>
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        <update_date>2024-09-04T03:30:03.343497+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/achic19/poi_visibility_network2]]></tracker>
        <repository><![CDATA[https://github.com/achic19/poi_visibility_network2]]></repository>
        <tags><![CDATA[analysis]]></tags>
        <downloads>5565</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GaliciaSustentable" version="1.0" plugin_id="2161">
        <description><![CDATA[GaliciaSustentable processing provider]]></description>
        <about><![CDATA[Install models and algs for GaliciaSustentable proyect (https://fgsustentable.org/)]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://fgsustentable.org/]]></homepage>
        <file_name>galiciasustentable.1.0.zip</file_name>
        <icon>/media/packages/2020/icon_urujnDd.png</icon>
        <author_name><![CDATA[Luigi Pirelli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/galiciasustentable/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[luipir]]></uploaded_by>
        <create_date>2020-09-21T16:05:27.561322+00:00</create_date>
        <update_date>2020-09-21T16:05:29.117513+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/luipir/qgis-galiciasustentable-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/luipir/qgis-galiciasustentable-plugin]]></repository>
        <tags><![CDATA[calculator,analysis,processing,delimitation]]></tags>
        <downloads>1691</downloads>
        <average_vote>2.997002997002997</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="JSON Eater" version="0.3" plugin_id="2162">
        <description><![CDATA[Flexible JSON importer for different structures - GeoJSON format is not required]]></description>
        <about><![CDATA[JSON Eater is a flexible importer for simple point data from several JSON formats and provides qualified guesses without having to convert the JSON formatted data to other formats. Data does not have to be in native GeoJSON format.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis.findvej.dk/]]></homepage>
        <file_name>JSONEater-master.0.3.zip</file_name>
        <icon>/media/packages/2020/eatericon64_ttbadBL.png</icon>
        <author_name><![CDATA[Peter Brodersen, Findvej.dk]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/JSONEater-master/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[findvej]]></uploaded_by>
        <create_date>2020-09-23T18:21:24.236487+00:00</create_date>
        <update_date>2020-10-23T09:41:18.173460+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PeterBrodersen/JSONEater/issues]]></tracker>
        <repository><![CDATA[https://github.com/PeterBrodersen/JSONEater]]></repository>
        <tags><![CDATA[python,import,geojson,json]]></tags>
        <downloads>17234</downloads>
        <average_vote>2.874964062949213</average_vote>
        <rating_votes>80</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ClusterMap" version="1.2" plugin_id="2164">
        <description><![CDATA[Receives polygon shapefile as input and applies clustering methods for the generation of choropleth maps]]></description>
        <about><![CDATA[The plugin receives polygon shapefile as input and applies clustering methods (k-mean and hierarchical clustering) for the generation of choropleth maps according to user-defined settings: attributes, similarity metric, and the number of clusters.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tiagoPrudencio/ClusterMap]]></homepage>
        <file_name>ClusterMap.1.2.zip</file_name>
        <icon>/media/packages/2024/map.png</icon>
        <author_name><![CDATA[Tiago Prudencio, Maia B.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ClusterMap/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[prudencio]]></uploaded_by>
        <create_date>2020-09-24T18:45:22.427113+00:00</create_date>
        <update_date>2024-03-24T18:43:10.283300+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tiagoPrudencio/ClusterMap/issues]]></tracker>
        <repository><![CDATA[https://github.com/tiagoPrudencio/ClusterMap]]></repository>
        <tags><![CDATA[python,choropleth maps,hierarchical,k-means]]></tags>
        <downloads>19715</downloads>
        <average_vote>4.742721636524671</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NAFI Fire Maps" version="1.0.4" plugin_id="2165">
        <description><![CDATA[North Australia &amp; Rangelands Fire Information (NAFI) Map Services]]></description>
        <about><![CDATA[Directory of NAFI web services which provide accurate 250m scale fire scar (burnt area) mapping across most of the Australian rangelands. The service provides annual and multi-year fire histories from 2000 to the present. The data are validated in the northern rangelands. A cleaned up hotspot dataset for the rangelands back to 2000 is also provided.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.1</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://firenorth.org.au]]></homepage>
        <file_name>nafi.1.0.4.zip</file_name>
        <icon>/media/packages/2021/icon_jRIiClp.png</icon>
        <author_name><![CDATA[Tom Lynch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nafi/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[nafigeospatial1]]></uploaded_by>
        <create_date>2020-09-30T11:13:50.039283+00:00</create_date>
        <update_date>2021-05-12T02:20:30.302810+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nafi-org/nafi-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/nafi-org/nafi-qgis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7334</downloads>
        <average_vote>3.624546931633546</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qlyrx" version="0.3.5" plugin_id="2167">
        <description><![CDATA[Apply Arcgis Pro .lyrx style]]></description>
        <about><![CDATA[Apply Arcgis Pro .lyrx style to vector layers in QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/arc2qgis/qlyrx]]></homepage>
        <file_name>qlyrx.0.3.5.zip</file_name>
        <icon>/media/packages/2024/icon_NLOAkpd.png</icon>
        <author_name><![CDATA[Netta Beninson, Dror Bogin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qlyrx/version/0.3.5/download/</download_url>
        <uploaded_by><![CDATA[bogind]]></uploaded_by>
        <create_date>2020-10-05T10:26:04.165579+00:00</create_date>
        <update_date>2024-11-21T06:44:11.902282+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/arc2qgis/qlyrx/issues]]></tracker>
        <repository><![CDATA[https://github.com/arc2qgis/qlyrx]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>27808</downloads>
        <average_vote>3.1514196539498807</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="eKMap Server Publisher" version="2.2.0" plugin_id="2168">
        <description><![CDATA[Publisher plugin for eKMap Server]]></description>
        <about><![CDATA[To publish map information to eKMap Server]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://ekgis.com.vn/]]></homepage>
        <file_name>eKMap-Publisher-For-QGIS.2.2.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[eKGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eKMap-Publisher-For-QGIS/version/2.2.0/download/</download_url>
        <uploaded_by><![CDATA[ekgis]]></uploaded_by>
        <create_date>2020-10-06T02:12:22.025956+00:00</create_date>
        <update_date>2021-12-16T09:35:29.714499+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eKMap/ekmap-publisher-for-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/eKMap/ekmap-publisher-for-qgis]]></repository>
        <tags><![CDATA[python,shapefile,web,export,geometry]]></tags>
        <downloads>5893</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Synthwave Code Editor Color Scheme" version="1.2" plugin_id="2170">
        <description><![CDATA[Synthwave color scheme for QGIS code editors. Originally developed by robb0wen for VS Code at https://github.com/robb0wen/synthwave-vscode.]]></description>
        <about><![CDATA[Synthwave color scheme for QGIS code editors. Originally developed by robb0wen for VS Code at https://github.com/robb0wen/synthwave-vscode.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.15.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/synthwave/]]></homepage>
        <file_name>synthwave.1.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Nyall Dawson]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/synthwave/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2020-10-07T02:07:11.495752+00:00</create_date>
        <update_date>2020-10-07T06:17:08.130509+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nyalldawson/qgis_theme_synthwave]]></tracker>
        <repository><![CDATA[https://github.com/nyalldawson/qgis_theme_synthwave]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2083</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GéoBretagne" version="2.2" plugin_id="2174">
        <description><![CDATA[Plugin pour QGIS 3 fournissant un accès simple aux flux de géographiques WMS et WFS de GéoBretagne et d&#x27;autres ressources géographiques utiles en région Bretagne.]]></description>
        <about><![CDATA[Plugin for QGIS 3 providing simple access to WMS and WFS geographic flows from GéoBretagne and other useful geographic resources in the Britany region.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geobretagne/qgis-plugin/wiki]]></homepage>
        <file_name>geobretagne.2.2.zip</file_name>
        <icon>/media/packages/2025/geobretagne.png</icon>
        <author_name><![CDATA[Neogeo Technologies, repris par région Bretagne]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geobretagne/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[lecault]]></uploaded_by>
        <create_date>2020-10-07T08:30:46.884135+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geobretagne/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/geobretagne/qgis-plugin]]></repository>
        <tags><![CDATA[géobretagne,geobretagne,bretagne]]></tags>
        <downloads>24532</downloads>
        <average_vote>4.356831654881795</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="pathfinder" version="1.0.4" plugin_id="2175">
        <description><![CDATA[A QGIS plugin that helps you locate and work with your layer file paths.]]></description>
        <about><![CDATA[Add actions to the layer context menu for copying its source or opening the file location. Customize quoting and separation characters in the pathfinder settings. Shift + Right Click adds a Copy Path command with double backslashes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/freeshrugsxd/qgis-pathfinder]]></homepage>
        <file_name>pathfinder.1.0.4.zip</file_name>
        <icon>/media/packages/2026/copy.svg</icon>
        <author_name><![CDATA[silvio bentzien]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pathfinder/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[sbentzien]]></uploaded_by>
        <create_date>2020-10-07T17:19:06.479837+00:00</create_date>
        <update_date>2026-03-17T17:27:50.540442+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/freeshrugsxd/qgis-pathfinder/issues]]></tracker>
        <repository><![CDATA[https://github.com/freeshrugsxd/qgis-pathfinder]]></repository>
        <tags><![CDATA[vector,raster,clipboard,show in explorer,copy path]]></tags>
        <downloads>10552</downloads>
        <average_vote>4.764425622022234</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Urban Green SARCA" version="0.1.5" plugin_id="2177">
        <description><![CDATA[Plugin for analysis of radioactive contamination of vegetation cover
in (mostly) urban environment]]></description>
        <about><![CDATA[The Urban Green SARCA (USG) module is a  GIS tool created for the
purpose of estimating the deposition of radionuclides on the surface
of vegetation and soil, or in areas without vegetation in the early
phase of a radiation accident. The module makes it possible to
estimate the radioactive contamination of the vegetation cover by
means of satellite images, total radioactivity deposition data and
precipitation amount data during the radiation accident. USG provides
a “first sight” on spatial information of a radioactive contamination
of vegetation and soils within large areas in a very simple way and
thus it is a usable tool for decision makers and authorities in case
of radiation accident. The usage of module is suitable mostly for
areas where the vegetation cover and amount of biomass is not very
well documented, e.g. urban areas.

Outputs:
- Amount of biomass (t/ha)
- Interception factor
- Biomass contamination (Bq/m2)
- Soil contamination (Bq/m2)
- Mass contamination (Bq/kg)
- Mask of hygienic limit exceeding
- Mask of reference levels

QGIS module Urban Green SARCA development was supported by project of
Ministry of the Interior of the Czech Republic No. VH20172020015]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.enki.cz]]></homepage>
        <file_name>UrbanSARCA-master.0.1.5.zip</file_name>
        <icon>/media/packages/2023/icon_3Rj2UVw.png</icon>
        <author_name><![CDATA[Jakub Brom, ENKI o.p.s. Třeboň, University of South Bohemia in České Budějovice, Faculty of Agriculture and Technology, Czech Republic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/UrbanSARCA-master/version/0.1.5/download/</download_url>
        <uploaded_by><![CDATA[jbosgeouid]]></uploaded_by>
        <create_date>2020-10-08T07:14:54.964343+00:00</create_date>
        <update_date>2023-08-29T15:34:04.950213+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JakubBrom/UrbanSARCA/issues]]></tracker>
        <repository><![CDATA[https://github.com/JakubBrom/UrbanSARCA]]></repository>
        <tags><![CDATA[raster,soil,remote sensing,vegetation,radioactivity,contamination,radioactive accident]]></tags>
        <downloads>6543</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Move Features" version="2.0" plugin_id="2182">
        <description><![CDATA[This plugin moves the features from one location to another based on several methods.]]></description>
        <about><![CDATA[With this plugin, it is possible to move features from one location to another. For correct results please be sure that the layer and the canvas have same coordinate reference system.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_move_feature_plugin]]></homepage>
        <file_name>moving_feature.2.0.zip</file_name>
        <icon>/media/packages/2021/icon_DKrQYzo.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/moving_feature/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2020-10-10T18:07:40.160382+00:00</create_date>
        <update_date>2021-05-23T15:40:10.274017+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_move_feature_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_move_feature_plugin]]></repository>
        <tags><![CDATA[point,features,polygon,line,move]]></tags>
        <downloads>19319</downloads>
        <average_vote>4.307360972232905</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Volume Calculation Tool" version="0.5" plugin_id="2187">
        <description><![CDATA[Calculates volume based on DEM layers]]></description>
        <about><![CDATA[This plugin allows to calculate the volume inside multiple polygons based on a DEM layer. It outputs cut/fill analysis, nDOM height difference layer and is compatible to [m/ft]. Different base level heights allow to use surface to surface analysis, as well as custom heights and lowest/average points.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.redcatch.at/qgisvolume/]]></homepage>
        <file_name>volume_calculation_tool.0.5.zip</file_name>
        <icon>/media/packages/2026/icon_rK4xmda.png</icon>
        <author_name><![CDATA[REDcatch GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/volume_calculation_tool/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[redcatch4d]]></uploaded_by>
        <create_date>2020-10-13T15:39:04.894459+00:00</create_date>
        <update_date>2026-03-11T09:23:17.338509+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/REDcatch/Volume_calculation_for_QGIS3]]></tracker>
        <repository><![CDATA[https://github.com/REDcatch/Volume_calculation_for_QGIS3]]></repository>
        <tags><![CDATA[calculator,vector,raster,analysis,statistics,dem,processing,drone,volume]]></tags>
        <downloads>53798</downloads>
        <average_vote>4.624951823418506</average_vote>
        <rating_votes>96</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FORCE4Q" version="1.0.1" plugin_id="2188">
        <description><![CDATA[Create composites and timeseries from Landsat and Sentinel 2 satellite data.]]></description>
        <about><![CDATA[A plugin for generating higher level EO data products. It is a QGIS port for the higher level functionality of the Framework for Operational Radiometric Correction for Environmental Monitoring (FORCE). It specifically makes use of FORCE’s Higher Level Processing System for generating image composites and time series from multitemporal Level 2 bottom of atmosphere surface reflectance imagery. FORCE4Q is compatible with Landsat 4-8 and Sentinel-2 reflectance imagery as downloaded from common online repositories.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://force4q.readthedocs.io]]></homepage>
        <file_name>force4qgis.1.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_dTWCwTT.png</icon>
        <author_name><![CDATA[Andreas Rabe]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/force4qgis/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[janzandr]]></uploaded_by>
        <create_date>2020-10-14T13:13:09.481746+00:00</create_date>
        <update_date>2020-10-14T19:53:09.450019+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/hu-geomatics/force4qgis/issues]]></tracker>
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        <server>False</server>
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        <description><![CDATA[Collection of helper tools for the free ProMaIDes software package;]]></description>
        <about><![CDATA[This is a collection of tools, which support the models set-up and the result visualization of ProMaIDes, a free and integrative software package for flood risk analysis (https://promaides.myjetbrains.com/youtrack/articles/PMID-A-7/General).]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://promaides.myjetbrains.com/youtrack/articles/PMDP-A-6/Plug-ins]]></homepage>
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        <icon>/media/packages/2024/icon_kUJPYp3.png</icon>
        <author_name><![CDATA[AG FRM Hochschule Magdeburg-Stendal and others]]></author_name>
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        <server>False</server>
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        <trusted>False</trusted>
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        <icon>/media/packages/2021/icon-highres.png</icon>
        <author_name><![CDATA[Gispo Ltd.]]></author_name>
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        <uploaded_by><![CDATA[thorbenw]]></uploaded_by>
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        <server>False</server>
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        <description><![CDATA[CWSI is a QGIS3 plugin that helps to calculate the CWSI (crop water stress index) from thermal images.]]></description>
        <about><![CDATA[CWSI plugin is a tool to calculate the CWSI (crop water stress index) from thermal images. Here is a tutorial: https://ecothermographylab.com/crop-water-stress-index-cwsi/]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2023/icon_aGWQkJu.png</icon>
        <author_name><![CDATA[Florian Ellsäßer]]></author_name>
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        <server>False</server>
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        <about><![CDATA[Bereken afwateringskenmerken BGT vlakken.]]></about>
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        <homepage><![CDATA[https://plugins.qgis.org/plugins/bgtinlooptool/#plugin-about]]></homepage>
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        <server>False</server>
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        <deprecated>True</deprecated>
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        <server>False</server>
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        <description><![CDATA[A set of map tools and Processing algorithms for cartographic tools]]></description>
        <about><![CDATA[A set of map tools and Processing algorithms for cartographic tools]]></about>
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        <icon>/media/packages/2021/icon_tJang1J.png</icon>
        <author_name><![CDATA[North Road]]></author_name>
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        <repository><![CDATA[https://github.com/north-road/qgis-cartography-tools]]></repository>
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        <server>False</server>
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        <server>False</server>
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        <description><![CDATA[Monokai color scheme for QGIS code editors. Originally developed by Wimer Hazenberg for Textmate.]]></description>
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        <trusted>True</trusted>
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        <description><![CDATA[Generate plot boundary]]></description>
        <about><![CDATA[This plugin is to generate plot boundaries for agriculture research plot.]]></about>
        <trusted>False</trusted>
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        <author_name><![CDATA[Jinha Jung]]></author_name>
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        <server>False</server>
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        <description><![CDATA[Image Segmentation]]></description>
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        <trusted>False</trusted>
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        <server>False</server>
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        <server>False</server>
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        <description><![CDATA[Simple screen to quickly perform find/replace on text in columns.]]></description>
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        <author_name><![CDATA[Sem Riemens]]></author_name>
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        <uploaded_by><![CDATA[semriemens]]></uploaded_by>
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        <server>False</server>
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        <description><![CDATA[CBERS4A Downloader QGIS Plugin]]></description>
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To download the images it is necessary to register at http://www.dgi.inpe.br/catalogo/explore.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2023/cbers4a.png</icon>
        <author_name><![CDATA[Sandro Klippel]]></author_name>
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        <server>False</server>
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        <icon>/media/packages/2021/icon_fjP4P9o.png</icon>
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        <server>False</server>
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        <server>False</server>
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        <trusted>False</trusted>
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        <author_name><![CDATA[Jurjen de Jong, Deltares]]></author_name>
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        <server>False</server>
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        <trusted>False</trusted>
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        <server>False</server>
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Calcoli sui campi quali Progressiva, Media, Media Mobile, Indice Media Ponderata, Percentuale, Variazione Percentuale]]></about>
        <trusted>False</trusted>
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        <author_name><![CDATA[Giulio Fattori]]></author_name>
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        <deprecated>False</deprecated>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zsiki/arearatio]]></tracker>
        <repository><![CDATA[https://github.com/zsiki/arearatio]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>14568</downloads>
        <average_vote>3.999333444425929</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cadastral Divisions" version="1.2" plugin_id="2232">
        <description><![CDATA[Split a polygon (parcel) according to a line into n equal parts or by imposed area size]]></description>
        <about><![CDATA[Split a polygon (parcel) according to a line into n equal parts or by an imposed area size, generating a new layer]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Korto19/Cadastral_Divisions#frazionamenti-cadastral-divisions]]></homepage>
        <file_name>Cadastral_Divisions-main.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_mNYh2gI.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Cadastral_Divisions-main/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2020-12-01T13:37:12.477658+00:00</create_date>
        <update_date>2023-02-08T17:15:10.316294+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Korto19/Cadastral_Divisions/issues]]></tracker>
        <repository><![CDATA[https://github.com/Korto19/Cadastral_Divisions]]></repository>
        <tags><![CDATA[python,polygon,split,catasto,cadastre,cadastral,divide,referencia catastral,parcel,frazionamenti,mappali,catastali,particelle,dividere,dividi,cadastral parcel]]></tags>
        <downloads>51344</downloads>
        <average_vote>4.7142339095174774</average_vote>
        <rating_votes>91</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="geoCore" version="0.8.1" plugin_id="2234">
        <description><![CDATA[Creates graphical representations of geoscientific drillings]]></description>
        <about><![CDATA[geoCore creates graphical representations of geoscientific drillings. The plugin depends on PyYAML (https://pypi.org/project/PyYAML/) and naturally on QGIS and thus PyQt. geoCore was developed in cooperation with the Lower Saxony Institute for Historical Coastal Research (NIhK). The NIhK provides the domain specific knowledge and is key driver for the plugin&#x27;s feature set. For the citation options see the manual. !!!Backup your config.yml and geoCore.yml before you update the plugin!!!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/t-systems-on-site-services-gmbh/geoCore]]></homepage>
        <file_name>geoCore.0.8.1.zip</file_name>
        <icon>/media/packages/2021/icon_f56HEw6.png</icon>
        <author_name><![CDATA[T-Systems on site services GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoCore/version/0.8.1/download/</download_url>
        <uploaded_by><![CDATA[mmmennenga]]></uploaded_by>
        <create_date>2020-12-02T11:28:26.999211+00:00</create_date>
        <update_date>2021-08-09T10:11:09.792887+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/t-systems-on-site-services-gmbh/geoCore/issues/]]></tracker>
        <repository><![CDATA[https://github.com/t-systems-on-site-services-gmbh/geoCore/]]></repository>
        <tags><![CDATA[profile,geology,archaeology,drilling,onsite,pedology,core,nihk]]></tags>
        <downloads>10647</downloads>
        <average_vote>4.130255206295378</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Actions for relations" version="1.2.0" plugin_id="2236">
        <description><![CDATA[Actions for relations (batch insert, show children)]]></description>
        <about><![CDATA[Show children or batch insert children on a layer selection]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis-actions-for-relations]]></homepage>
        <file_name>actions_for_relations.1.2.0.zip</file_name>
        <icon>/media/packages/2021/icon_TA1cHsp.svg</icon>
        <author_name><![CDATA[Denis Rouzaud]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/actions_for_relations/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[3nids]]></uploaded_by>
        <create_date>2020-12-04T07:47:42.257362+00:00</create_date>
        <update_date>2021-02-12T14:33:58.620927+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis-actions-for-relations/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis-actions-for-relations]]></repository>
        <tags><![CDATA[relation,action]]></tags>
        <downloads>24014</downloads>
        <average_vote>3.954365710649516</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Placekey - Address Matching and Entity Resolution" version="1.1.1" plugin_id="2237">
        <description><![CDATA[adds placekeys to your data]]></description>
        <about><![CDATA[IMPORTANT NOTE: Currently only fully supported for Addresses and POIs based in the US and Canada.&lt;br&gt;&lt;br&gt;Solve tough problems related to address matching, POI matching, address normalization, validation, deduplication, and entity resolution with the free Placekey Connector. Placekey is a free, universal identifier for physical places.&lt;ul&gt;&lt;li&gt;&lt;a href=&quot;https://www.youtube.com/watch?v=MD0khQxYaZE&amp;feature=emb_title&quot;&gt;How to Use This Plugin (Video)&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://www.placekey.io/blog/introducing-the-placekey-qgis-plugin&quot;&gt;Placekey Blog&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://docs.placekey.io/&quot;&gt;Placekey API Documentation&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://github.com/riccardoklinger/placekey/blob/master/readme.md&quot;&gt;Plugin Documentation&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;br&gt;Use this plugin to perform the following:&lt;br&gt;&lt;br&gt;&lt;b&gt;ADDRESS AND POI MATCHING&lt;/b&gt;&lt;br&gt;&lt;br&gt;If you are drawing address and/or POI-oriented data from multiple different places, Placekey allows you to match them together easily. Placekey can act as an alternative to a spatial join, letting you join on the Placekey attribute. This significantly reduces the downsides of spatial joins - these include geocodes on top of each other in apartment buildings or offices, densely-placed geocodes in urban areas, and street-level versus rooftop-level geocodings.&lt;br&gt;&lt;br&gt;&lt;b&gt;ADDRESS NORMALIZATION&lt;/b&gt;&lt;br&gt;&lt;br&gt;By resolving messy input address formats, Placekey removes the need to first normalize your addresses and POIs when joining them with other data. The Placekey API ensures that the same place will receive the same Placekey, even if it is referenced using multiple names and/or address conventions.&lt;br&gt;&lt;br&gt;&lt;b&gt;ADDRESS AND POI DEDUPLICATION&lt;/b&gt;&lt;br&gt;&lt;br&gt;Placekey can help you remove duplicate rows in your dataset, even if their address and POI formats differ. Just Placekey all of your rows and drop duplicates of the Placekey attribute.&lt;br&gt;&lt;br&gt;&lt;b&gt;EVALUATE ADDRESS DATA QUALITY&lt;/b&gt;&lt;br&gt;&lt;br&gt;The Placekey API compares your address and POI data against multiple authoritative sources of truth in order to generate a unique Placekey for each place in your dataset. Overall data quality can be ascertained by appending Placekeys and looking at the match rate.&lt;br&gt;&lt;br&gt;Learn more at &lt;a href=&quot;https://placekey.io&quot;&gt;Placekey.io&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/riccardoklinger/placekey]]></homepage>
        <file_name>placekey.1.1.1.zip</file_name>
        <icon>/media/packages/2021/icon_rfaW7aJ.png</icon>
        <author_name><![CDATA[Riccardo Klinger]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/placekey/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[riccardoklinger]]></uploaded_by>
        <create_date>2020-12-04T20:56:13.902900+00:00</create_date>
        <update_date>2021-01-22T18:45:15.216676+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/riccardoklinger/placekey/issues]]></tracker>
        <repository><![CDATA[https://github.com/riccardoklinger/placekey]]></repository>
        <tags><![CDATA[address validation,address correction,address verification,data conflation,poi matching,address normalization,deduplication,address standardization,address parsing,company name matching,company name normalization,business name matching,company name standardization,address matching]]></tags>
        <downloads>3706</downloads>
        <average_vote>4.586127825382321</average_vote>
        <rating_votes>58</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multiple Layers Tools" version="1.2" plugin_id="2238">
        <description><![CDATA[Multiple Layers Tools, like Edit, Commit, Undo, Filter, Clear filter and Load styles from DB.

(fr) Outils multicouches : éditer, enregistrer, annuler, filtrer, effacer les filtres, charger les styles depuis la base de données.]]></description>
        <about><![CDATA[Toolbar to facilitate work on several layers and groups :
- To turn on edit mode, to commit, to undo with only one click. Easy to edit points without switching layer. Easy to modify several layers.
- To create a filter by using the first of selected layer fields (alphabetical order). Note that the query is not checked so you&#x27;re free to use other fields coming from other layers. Easy to work on linked entities with a common field.
- To load selected layers styles from DB.

(fr) Ajoute une barre d&#x27;outils pour faciliter le travail sur plusieurs couches et groupes :
- Activer le mode édition, enregistrer, annuler en un clic. Pratique pour éditer les points sans changer de couche. Pratique pour modifier plusieurs couches d&#x27;un coup.
- Créer un filtre en utilisant les champs de la première couche sélectionnée (ordre alphabétique). Notez que la requête n&#x27;est pas vérifiée, vous pouvez donc utiliser d&#x27;autres champs venant d&#x27;autres couches. Pratique pour travailler sur des entités liées par un champ commun.
- Pour charger les styles des couches sélectionnées depuis la base de données.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/djes/MultipleLayersTools]]></homepage>
        <file_name>multiple_layers_tools.1.2.zip</file_name>
        <icon>/media/packages/2021/multiple_layers_tools_Jf2pyck.png</icon>
        <author_name><![CDATA[djes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/multiple_layers_tools/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[djes]]></uploaded_by>
        <create_date>2020-12-05T11:51:33.100748+00:00</create_date>
        <update_date>2021-08-18T15:36:33.020201+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/djes/MultipleLayersTools/issues]]></tracker>
        <repository><![CDATA[https://github.com/djes/MultipleLayersTools]]></repository>
        <tags><![CDATA[python,filter,edit,layers,qgis]]></tags>
        <downloads>19201</downloads>
        <average_vote>3.888456838129097</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EOF-based Time Series Reconstructor" version="4.0.5" plugin_id="2239">
        <description><![CDATA[Python wrapper for DINEOF fortran executable (ULiège, Alvera-Azcárte and Barth)]]></description>
        <about><![CDATA[EOF-based reconstruction tool for filling gaps, caused by e.g. clouds, in geophysical time series, like ocean temperature. It is developed specifically for oceanography.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://eof-reconstructor.readthedocs.io]]></homepage>
        <file_name>dineof.4.0.5.zip</file_name>
        <icon>/media/packages/2020/dineof_u0TQBWp.png</icon>
        <author_name><![CDATA[Ann Crabbé]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dineof/version/4.0.5/download/</download_url>
        <uploaded_by><![CDATA[annc]]></uploaded_by>
        <create_date>2020-12-05T22:35:00.345471+00:00</create_date>
        <update_date>2020-12-14T15:53:15.280171+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/kul-reseco/dineof/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/kul-reseco/dineof/src]]></repository>
        <tags><![CDATA[time series,remote sensing,missing data,gap filling,dineof,eof,oceanography]]></tags>
        <downloads>3877</downloads>
        <average_vote>4.4439506721475395</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FlyFotosDK" version="1.1" plugin_id="2240">
        <description><![CDATA[Samling af Danmarks historiske flyfotos]]></description>
        <about><![CDATA[Tjenesten FlyFotosDK udbyder mere end 1.200 unikke historiske flyfotoserier, svarende til godt en halv million individuelle billeder. Det store billede katalog dækker Danmark i flere årtier og skalaer. Læs mere om løsningen på &lt;a href=&quot;https://flyfotos.dk/&quot;&gt;https://flyfotos.dk/&lt;/a&gt;

Denne plugin gør det nemt at overskue de mange flyfotoserier. Du kan f.eks. vælge at få en oversigt over de ”synlige” serier i kortvinduet. Derudover kan du udvælge serier via skala eller fra et givet årti.

For at kunne anvende denne plugin skal du have etableret en brugerkonto til tjenesten - Læs mere her &lt;a href=&quot;https://flyfotos.dk/da-dk/produkter/adgang&quot;&gt;https://flyfotos.dk/da-dk/produkter/adgang&lt;/a&gt;

English:
The FlyFotosDK service offers more than 1.200 unique historical aerial photoseries, which is the equivalent of more than half a million individual photos. This large catalogue covers the whole of Denmark, divided over multiple decades and several scales. Read more about the service on the website &lt;a href=&quot;https://flyfotos.dk/&quot;&gt;https://flyfotos.dk/&lt;/a&gt;

This plugin helps with managing the many aerial photoseries. It allows you for example to get an overview of the visible layers in the current map canvas extent. Alternately you can sort the photoseries based on scale for a given decade.

To use this plugin you need to have an account - read more here &lt;a href=&quot;https://flyfotos.dk/da-dk/produkter/adgang&quot;&gt;https://flyfotos.dk/da-dk/produkter/adgang&lt;/a&gt;

&lt;img src=&quot;https://flyfotos.dk/Portals/2/flyfotodk-logo.png?ver=2020-05-20-124201-440&quot; alt=&quot;FlyfotosDK&quot; width=&quot;201&quot; height=&quot;62&quot;&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://flyfotos.dk/da-dk/]]></homepage>
        <file_name>FlyFotosDK.1.1.zip</file_name>
        <icon>/media/packages/2021/icon_pGkb5js.png</icon>
        <author_name><![CDATA[JO Informatik ApS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FlyFotosDK/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[joinformatik]]></uploaded_by>
        <create_date>2020-12-07T15:47:45.100216+00:00</create_date>
        <update_date>2021-04-12T16:16:58.540449+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JO-Informatik-ApS/FlyFotosDK4QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/JO-Informatik-ApS/FlyFotosDK4QGIS]]></repository>
        <tags><![CDATA[wms,dansk,danmark,denmark,flyfotoarkivet,ortofoto,historical mapping,historiske flyfotos,iarchive]]></tags>
        <downloads>3618</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GTFS-GO" version="4.1.3" plugin_id="2244">
        <description><![CDATA[The plugin to extract GTFS data and to show routes and stops.]]></description>
        <about><![CDATA[The plugin to extract GTFS data and to show routes and stops.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MIERUNE/GTFS-GO]]></homepage>
        <file_name>GTFS-GO-master.4.1.3.zip</file_name>
        <icon>/media/packages/2025/busstop_dmcwwmZ.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GTFS-GO-master/version/4.1.3/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
        <create_date>2020-12-09T11:33:16.207326+00:00</create_date>
        <update_date>2025-10-23T08:04:25.040288+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/GTFS-GO/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/GTFS-GO]]></repository>
        <tags><![CDATA[python,traffic,gtfs]]></tags>
        <downloads>47279</downloads>
        <average_vote>4.183447858276529</average_vote>
        <rating_votes>109</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Fit Geometry by Area" version="1.2" plugin_id="2245">
        <description><![CDATA[This plugin lets you change the geometry by a field that have a area value you want fit it.]]></description>
        <about><![CDATA[This plugin lets you change the geometry by a field that have a area value you want fit it.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/fitgeometrybyarea/wiki]]></homepage>
        <file_name>fitgeometrybyarea.1.2.zip</file_name>
        <icon>/media/packages/2021/fitgeometrybyarea_FBzfV3x.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fitgeometrybyarea/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2020-12-09T14:25:01.945730+00:00</create_date>
        <update_date>2021-04-13T14:33:32.955664+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/fitgeometrybyarea/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/fitgeometrybyarea]]></repository>
        <tags><![CDATA[geometry,area,fit]]></tags>
        <downloads>5483</downloads>
        <average_vote>2.9992501874531365</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Saraphi Get Connect" version="1.0.1" plugin_id="2246">
        <description><![CDATA[The plugins work as a connector between QGIS and OSGeo Thailand services]]></description>
        <about><![CDATA[The plugins provide data in 2 kinds of data type
1) Data on OGC API - Feature
2) Basemap on vector tile format.
For OGC API data format user who was registered on the website (https://osgeo.in.th) can store and retrieve their data for the server’s service. While Basemap on vector tile format is available only in read mode]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/osgeo-th/ogcapi-qgis]]></homepage>
        <file_name>SaraphiGetConnect.1.0.1.zip</file_name>
        <icon>/media/packages/2020/osgeo_Zy2h4Ce.svg</icon>
        <author_name><![CDATA[OSGEO Thailand]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SaraphiGetConnect/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[ibitz]]></uploaded_by>
        <create_date>2020-12-10T14:28:09.229315+00:00</create_date>
        <update_date>2020-12-13T16:50:20.382412+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/osgeo-th/ogcapi-qgis/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/osgeo-th/ogcapi-qgis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1780</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Valhalla" version="4.3.0" plugin_id="2254">
        <description><![CDATA[Valhalla routing, TSP, isochrones, matrix, map match, elevation &amp; expansion calculations for QGIS]]></description>
        <about><![CDATA[Valhalla provides access to most of the functions of the open-source Valhalla routing engine.
The tool set includes routing, Traveling Salesman, isochrones, matrix, map match, elevation &amp; expansion calculations, either interactive in the map canvas or from Point/LineString files within the processing framework.
Extensive attributes are set for output files, incl. duration, length and start/end locations.

The plugin accesses remote or local Valhalla HTTP APIs. Linux &amp; OSX users can even install https://pypi.org/project/pyvalhalla/ and are one button click away of:

- a local and fully configurable Valhalla service
- use remote, tar&#x27;d Valhalla graphs as a data source, supporting HTTP basic auth
- locally build graphs from OSM PBF files

For more information see https://github.com/nilsnolde/valhalla-qgis-plugin?tab=readme-ov-file#how-to.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nilsnolde/valhalla-qgis-plugin]]></homepage>
        <file_name>valhalla.4.3.0.zip</file_name>
        <icon>/media/packages/2026/valhalla_logo_eg9xYhh.svg</icon>
        <author_name><![CDATA[Nils Nolde]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/valhalla/version/4.3.0/download/</download_url>
        <uploaded_by><![CDATA[nilsnolde]]></uploaded_by>
        <create_date>2020-12-14T15:43:36.189232+00:00</create_date>
        <update_date>2026-01-21T09:02:23.637918+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nilsnolde/valhalla-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/nilsnolde/valhalla-qgis-plugin]]></repository>
        <tags><![CDATA[routing,openstreetmap,osm,elevation,processing,isochrone,route,matrix,tsp,valhalla,expansion,mapmatch]]></tags>
        <downloads>40096</downloads>
        <average_vote>4.634526259110402</average_vote>
        <rating_votes>52</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QR Barcode Layout Item" version="0.4.0" plugin_id="2256">
        <description><![CDATA[Add QR and linear barcode items to a QGIS print or report layout]]></description>
        <about><![CDATA[A plugin for adding QR and linear barcode items to a QGIS print layout. The items are accessible in the menu of a layout window under Add Item &gt; Add Barcode Item from where one can either choose a linear barcode or QR code item.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gkahiu.github.io/qrbarcodeitem-plugin]]></homepage>
        <file_name>qrbarcodeitem.0.4.0.zip</file_name>
        <icon>/media/packages/2026/qr_barcode.svg</icon>
        <author_name><![CDATA[John Kahiu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qrbarcodeitem/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[gkahiu]]></uploaded_by>
        <create_date>2020-12-15T17:03:14.150211+00:00</create_date>
        <update_date>2026-03-05T05:20:22.679282+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gkahiu/qrbarcodeitem-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/gkahiu/qrbarcodeitem-plugin]]></repository>
        <tags><![CDATA[layout,qrcode,barcode]]></tags>
        <downloads>33829</downloads>
        <average_vote>4.759809607615695</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PreCourlis" version="2.1.0" plugin_id="2257">
        <description><![CDATA[Create geometry for - sediment layered 1D cross-sections - of rivers for COURLIS which is the sediment transport module for MASCARET, the 1D free surface flow code of the Open TELEMAC-MASCARET platform (http://www.opentelemac.org/).
It also create geometry for MASCARET.]]></description>
        <about><![CDATA[This plugin allows you to:
- import georeferenced MASCARET or COURLIS geometry,
- georeference geo/geoC MASCARET/COURLIS geometry with the help of cross-section tracks.
- extract geometric information from a DEM (raster) or project points with elevation information orthogonally on polylines representing the cross-sections of the MASCARET-COURLIS model in respect with a user defined discretization,
- interpolate cross-sections along an hydraulic axis in respect with user defined longitudinal (number of cross-sections) and lateral (number of points on each profile) discretization, Many options are possible like interpolate by section with different space steps along the river or without lateral discretizations to propagate a shape like a channel. 
- visualize and modify the cross-sections in a graphical view,
- add sediment layers and bed rock to the cross-sections from river bed geometry (identical or with a Z shift) or from another DEM (raster),
- modify manually or with some functionality more automatic the river bed geometry, sediment layers geometry or bedrock geometry,
- define riverbed / flood plain limits in MASCARET geometry
- and export data for MASCARET and COURLIS module, but also for MOBILI and VisuProfil

Interpolation of cross-section can also be used to generates geometry source for TELEMAC-2D/3D.

PreCourlis is using :
- A fork of TatooineMesher (courtesy of CNR Engineering, https://github.com/CNR-Engineering/TatooineMesher)
- Modified version of Python classes of the TELEMAC-MASCARET system]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.pam-retd.fr/otm/PreCourlis]]></homepage>
        <file_name>PreCourlis.2.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_T4dXX0t.png</icon>
        <author_name><![CDATA[EDF Hydro, DeltaCAD, Camptocamp]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PreCourlis/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[amorvan]]></uploaded_by>
        <create_date>2020-12-21T17:33:41.294775+00:00</create_date>
        <update_date>2024-10-07T09:24:37.192944+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.pam-retd.fr/otm/PreCourlis/issues]]></tracker>
        <repository><![CDATA[https://gitlab.pam-retd.fr/otm/PreCourlis]]></repository>
        <tags><![CDATA[python courlis,MASCARET,openTELEMAC,COURLIS]]></tags>
        <downloads>3636</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Line Profile" version="3.2.0" plugin_id="2258">
        <description><![CDATA[Create line profiles from attribute table in vector layer and color band of raster layer]]></description>
        <about><![CDATA[Provide a brief description of the plugin and its purpose.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wiscsims/line_profile]]></homepage>
        <file_name>line_profile.3.2.0.zip</file_name>
        <icon>/media/packages/2020/icon_wiscsims.png</icon>
        <author_name><![CDATA[WiscSIMS (Kouki Kitajima)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/line_profile/version/3.2.0/download/</download_url>
        <uploaded_by><![CDATA[saburo]]></uploaded_by>
        <create_date>2020-12-23T22:23:48.875218+00:00</create_date>
        <update_date>2024-11-21T14:35:45.680870+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wiscsims/line_profile]]></tracker>
        <repository><![CDATA[https://github.com/wiscsims/line_profile]]></repository>
        <tags><![CDATA[python,cross section,line profile,sims,ion microprobe]]></tags>
        <downloads>29339</downloads>
        <average_vote>4.221753138540162</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QQuake" version="1.7" plugin_id="2260">
        <description><![CDATA[A plugin that makes the download of seismological data from web services easy]]></description>
        <about><![CDATA[&lt;p&gt;With QQuake you may download various type of data related to earthquakes such as parameters from catalogues, macroseismic intensity observations, recording stations, or seismogenic faults.&lt;br&gt;The plugin is pre-configured with a series of webservices, and the user may add new configurations with additional services that can be later exported and shared with others.&lt;p&gt;In seismology, the most widely adopted standards for sharing data are those promoted by &lt;a href=&quot;https://www.fdsn.org/webservices/&quot;&gt;FDSN&lt;/a&gt;, but they are not natively supported by QGIS. This plugin fix this problem by supporting the FDSN-event (&lt;a href=&quot;https://quake.ethz.ch/quakeml&quot;&gt;QuakeML 1.2&lt;/a&gt;) and FDSN-station (&lt;a href=&quot;https://www.fdsn.org/xml/station/&quot;&gt;StationXML&lt;/a&gt;) web service standards, as well as the macroseismic web service developed by the &lt;a href=&quot;https://emidius.eu/AHEAD/&quot;&gt;European Archive of Historical Earthquakes Data (AHEAD)&lt;/a&gt; which is based on the &lt;a href=&quot;https://quake.ethz.ch/quakeml/QuakeML2.0/Macroseismic&quot;&gt;macroseismic package of QuakeML 2.0&lt;/a&gt;. In addition, the plugin supports the inclusion of OGC WFS and WMS web services which are natively supported by QGIS, for a more complete set of data sources providing seismological data.&lt;/p&gt;&lt;p&gt;You may find additional information at the &lt;a href=&quot;https://www.emidius.eu/qquake/&quot;&gt;QQuake homepage&lt;/a&gt; and submit bug reports on &lt;a href=&quot;https://github.com/INGV/qquake/issues&quot;&gt;GitHub&lt;/a&gt;.&lt;/p&gt;&lt;hr /&gt;Data retrieved using the plugin is provided under the responsibility of the data provider of each selected web service.&lt;br&gt;Neither INGV, nor the plugin authors are responsible for the use that might be made of the data retrieved, nor are they responsible for any damage to third-parties caused by conclusions based on these data.&lt;br&gt;Data retrieved using the plugin may be altered with respects to the original data provided by the selected web services. Changes to the original data is required for loading data into QGIS as the original XML hierarchical structure must be converted into a flat table.&lt;/p&gt;&lt;hr /&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.emidius.eu/qquake/]]></homepage>
        <file_name>qquake.1.7.zip</file_name>
        <icon>/media/packages/2023/icon_rxMs0zK.svg</icon>
        <author_name><![CDATA[Istituto Nazionale di Geofisica e Vulcanologia (INGV)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qquake/version/1.7/download/</download_url>
        <uploaded_by><![CDATA[mariolocati]]></uploaded_by>
        <create_date>2020-12-28T11:50:26.569693+00:00</create_date>
        <update_date>2023-11-16T17:48:41.744373+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/INGV/qquake/issues]]></tracker>
        <repository><![CDATA[https://github.com/INGV/qquake]]></repository>
        <tags><![CDATA[geology,earthquake,download,data,stations,seismology,fdsn,macroseismic]]></tags>
        <downloads>12987</downloads>
        <average_vote>4.666511116296124</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Medsens" version="1.0" plugin_id="2261">
        <description><![CDATA[MedSens Index]]></description>
        <about><![CDATA[MedSens index, being based on open access data collected by volunteers, represents a bridge between marine citizen science and coastal management in the Mediterranean Sea, making possible and effective the integration of a well-established Community-Based environmental Monitoring into Ecosystem-Based Management policies. Turicchia E, Cerrano C, Ghetta M, Abbiati M, Ponti M (2020) MedSens index: The bridge between marine citizen science and coastal management. Ecological Indicators https://doi.org/10.1016/j.ecolind.2020.107296]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.reefcheckmed.org/english/underwater-monitoring-protocol/medsens-index]]></homepage>
        <file_name>medsens.1.0.zip</file_name>
        <icon>/media/packages/2020/icon_dvlrFIo.png</icon>
        <author_name><![CDATA[Matteo Ghetta (Faunalia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/medsens/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[ghtmtt]]></uploaded_by>
        <create_date>2020-12-29T08:19:45.854670+00:00</create_date>
        <update_date>2020-12-29T08:19:46.233568+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/faunalia/medsens/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/faunalia/medsens]]></repository>
        <tags><![CDATA[index,science,citizen science,marine,msfd,mediterranean sea,taxa,medsens,biology,marine strategy,reef check]]></tags>
        <downloads>1506</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NapkinGIS – Prepare" version="1.1" plugin_id="2265">
        <description><![CDATA[Prepare your QGIS projects for publishing on NapkinGIS]]></description>
        <about><![CDATA[Plugin for preparing your QGIS projects for publishing on the NapkinGIS platform. NapkinGIS is an online platform for publishing QGIS projects, making them available in a web-based map-view or for editing in a field app on mobile devices. &lt;a href=&quot;https://web.napkingis.no&quot;&gt;Link&lt;/a&gt; , &lt;a href=&quot;https://web.napkingis.no&quot;&gt;Demo&lt;/a&gt; , &lt;a href=&quot;https://www.napkingis.no/about.html&quot;&gt;Learn more&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.napkingis.com]]></homepage>
        <file_name>napkingis-prepare-plugin.1.1.zip</file_name>
        <icon>/media/packages/2021/icon_qGT4oMI.png</icon>
        <author_name><![CDATA[NapkinGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/napkingis-prepare-plugin/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[andreas98]]></uploaded_by>
        <create_date>2021-01-04T11:03:10.686754+00:00</create_date>
        <update_date>2021-02-05T12:38:22.968203+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NapkinGIS/NapkinGIS-QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/NapkinGIS/NapkinGIS-QGIS-plugin]]></repository>
        <tags><![CDATA[web,napkingis]]></tags>
        <downloads>1151</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Qgis-Tim" version="0.6.0" plugin_id="2268">
        <description><![CDATA[QGIS plugin to setup TimML multi-layer analytic elements]]></description>
        <about><![CDATA[QGIS plugin to setup TimML multi-layer analytic elements]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://deltares.github.io/QGIS-Tim/]]></homepage>
        <file_name>qgistim.0.6.0.zip</file_name>
        <icon>/media/packages/2024/icon_fiCEuEx.png</icon>
        <author_name><![CDATA[Deltares]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgistim/version/0.6.0/download/</download_url>
        <uploaded_by><![CDATA[engelen]]></uploaded_by>
        <create_date>2021-01-05T17:17:55.132025+00:00</create_date>
        <update_date>2024-01-08T16:12:34.868190+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Deltares/QGIS-Tim/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/deltares/imod/qgis-tim]]></repository>
        <tags><![CDATA[python,groundwater,analytic element,timml,groundwater modeling,ttim]]></tags>
        <downloads>3215</downloads>
        <average_vote>4.28510212826739</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geometry Shapes" version="1.1" plugin_id="2269">
        <description><![CDATA[This plugin draws basic geometry shapes (primitives) with user defined measurements]]></description>
        <about><![CDATA[This plugin draws basic geometry shapes with user defined measurements and also allows free drawing. Integrates in the digitizing toolbar. Options are rectangles, squares, ovals, and circles. Use shift to fix the aspect ratio and create perfect squares and circles.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pvandegeer/GeometryShapes]]></homepage>
        <file_name>GeometryShapes.1.1.zip</file_name>
        <icon>/media/packages/2025/geometry_shapes_yAaNgR3.png</icon>
        <author_name><![CDATA[P. van de Geer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeometryShapes/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[pvandegeer]]></uploaded_by>
        <create_date>2021-01-05T20:08:45.804153+00:00</create_date>
        <update_date>2025-08-22T19:54:36.871268+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pvandegeer/GeometryShapes/issues]]></tracker>
        <repository><![CDATA[https://github.com/pvandegeer/GeometryShapes]]></repository>
        <tags><![CDATA[shape,digitizing,geometry,circle,rectangle,square,oval,fixed size,primitive]]></tags>
        <downloads>108014</downloads>
        <average_vote>4.089691157805669</average_vote>
        <rating_votes>78</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Graphab" version="0.6.9" plugin_id="2270">
        <description><![CDATA[Graphab for QGIS]]></description>
        <about><![CDATA[This plugin allows you to model easily ecological networks with landscape graphs in QGIS without opening the Graphab software. Java must be installed on your computer before using this plugin. You may found open source Java installer on https://adoptopenjdk.net]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sourcesup.renater.fr/www/graphab/]]></homepage>
        <file_name>graphab4qgis.0.6.9.zip</file_name>
        <icon>/media/packages/2024/icon_QygzwFP.png</icon>
        <author_name><![CDATA[Robin Marlin-Lefebvre, Gilles Vuidel, Gaspard Quentin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/graphab4qgis/version/0.6.9/download/</download_url>
        <uploaded_by><![CDATA[gvuidel]]></uploaded_by>
        <create_date>2021-01-06T08:13:10.935957+00:00</create_date>
        <update_date>2024-10-31T14:00:56.513035+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab-mshe.univ-fcomte.fr/thema/graphab4qgis/issues]]></tracker>
        <repository><![CDATA[https://gitlab-mshe.univ-fcomte.fr/thema/graphab4qgis]]></repository>
        <tags><![CDATA[graphab,landscape graph,ecological network]]></tags>
        <downloads>11863</downloads>
        <average_vote>4.636152902140812</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RadAgro" version="0.1" plugin_id="2275">
        <description><![CDATA[QGIS plugin for temporal analysis of radioactivity contamination changes in agricultural landscape]]></description>
        <about><![CDATA[RadAgro is software designated for estimation of a radiation
contamination progress in agricultural landscape. It involves the
principal landscape elements and processes which could significantly
influence the radiation load in landscape. Especially important is the
field management based on crop rotation; also crop characteristics and
soil erosion are involved. RadAgro simulates the early phase of
radiation event and following development of radiation contamination
of the area of interest at monthly intervals. The output of the
software is a geodatabase of radiation contamination of individual
fields of the studied area.

The RadAgro software development was supported by the Ministry of the
Interior of the Czech Republic research project VI20172020098
Disposal of radiation-contaminated biomass after NPP
accident-distribution, logistic of harvesting, exploring in biogas
technology.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.zf.jcu.cz]]></homepage>
        <file_name>RadAgro-master.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_j0jSdLP.png</icon>
        <author_name><![CDATA[Dr. Jakub Brom, University of South Bohemia in České Budějovice, Faculty of Agriculture, Czech Republic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RadAgro-master/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jbosgeouid]]></uploaded_by>
        <create_date>2021-01-11T16:39:48.465575+00:00</create_date>
        <update_date>2021-01-11T16:39:48.636811+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JakubBrom/RadAgro/issues]]></tracker>
        <repository><![CDATA[https://github.com/JakubBrom/RadAgro]]></repository>
        <tags><![CDATA[soil,landscape,vegetation,radioactivity,contamination,radioactive accident,radioactive decay,erosion,crops rotation]]></tags>
        <downloads>2533</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Relief Visualization Toolbox" version="1.0.0" plugin_id="2277">
        <description><![CDATA[Relief visualization toolbox (RVT) plugin helps scientists visualise digital elevation model datasets.]]></description>
        <about><![CDATA[The Relief Visualization Toolbox was developed to help scientists visualise raster elevation model datasets. We narrowed down the selection to include techniques proven effective for identifying small-scale features. The default settings therefore assume work with high-resolution digital elevation models derived from airborne laser scanning missions (lidar). Despite this, the techniques are also used for various other purposes. For example, the sky-view factor can be efficiently applied in numerous studies where digital elevation model visualisations and automatic feature extraction techniques are indispensable, such as in geography, geomorphology, cartography, hydrology, glaciology, forestry, and disaster management. It can even be used in engineering applications, such as predicting the availability of the GNSS signal, conducting heat balance studies in urban areas, or predicting wind environments in football stadiums.

The methods currently implemented are: hillshading, hillshading from multiple directions, slope, simple local relief model (topographic position index), sky-view factor (as developed by our team), anisotropic sky-view factor, positive and negative openness, local dominance, multiscale topographic position, visualisation for archaeological topography (VAT), enhanced prismatic openness, enhanced multiscale topographic position (e4MSTP).

You are encouraged to cite these papers:
- Kokalj, Ž. 2025. Standardizing visualization in ancient Maya lidar research: Techniques, challenges and recommendations. Archaeological Prospection, 32 (4), 967–988. DOI: 10.1002/arp.70002
- Zakšek, K., Oštir, K., Kokalj, Ž. 2011. Sky-View factor as a relief visualization technique. Remote Sensing 3: 398-415. DOI: 10.3390/rs3020398

© Copyright 2026 ZRC SAZU and University of Ljubljana]]></about>
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        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://rvt-py.readthedocs.io/en/latest/rvtfor_qgis.html]]></homepage>
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        <icon>/media/packages/2026/icon_ShXv6m9.png</icon>
        <author_name><![CDATA[ZRC SAZU and University of Ljubljana (UL FGG)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rvt-qgis/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[ncoz]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EarthObservation/rvt-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/EarthObservation/rvt-qgis]]></repository>
        <tags><![CDATA[dem,slope,dtm,archaeology,lidar,hillshade,dsm,visualisation,sky-view factor,rvt,relief,vat,slrm,relief visualization toolbox,mstp]]></tags>
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        <rating_votes>102</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layman" version="2.7.0" plugin_id="2278">
        <description><![CDATA[Layman]]></description>
        <about><![CDATA[This plugin is client for Layman server, that provides WFS, WMS services. There is possible create map compositions, store metadata, sigle layers and load back by WMS or WFS. Plugin support OAuth2 autorization and read/write permissions for every layer/composition.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2024/icon_2pv6bcs.png</icon>
        <author_name><![CDATA[jan vrobel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Layman/version/2.7.0/download/</download_url>
        <uploaded_by><![CDATA[5]]></uploaded_by>
        <create_date>2021-01-13T16:41:50.285034+00:00</create_date>
        <update_date>2024-09-22T07:11:04.095587+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LESPROJEKT/qgis-layman-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/LESPROJEKT/qgis-layman-plugin/tree/master]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7664</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TopoJSON Writer" version="0.1.1" plugin_id="2279">
        <description><![CDATA[Write vector layers to TopoJson]]></description>
        <about><![CDATA[Write vector layers to TopoJson.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bogind/topojson_writer]]></homepage>
        <file_name>topojson_writer.0.1.1.zip</file_name>
        <icon>/media/packages/2021/icon_ZIpUoQX.png</icon>
        <author_name><![CDATA[Dror Bogin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/topojson_writer/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[bogind]]></uploaded_by>
        <create_date>2021-01-14T07:22:40.542490+00:00</create_date>
        <update_date>2021-02-10T09:10:00.524873+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bogind/topojson_writer/issues]]></tracker>
        <repository><![CDATA[https://github.com/bogind/topojson_writer]]></repository>
        <tags><![CDATA[python,geojson,topojson]]></tags>
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        <average_vote>3.77543315442542</average_vote>
        <rating_votes>49</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ANYWAYS Plugin" version="3.4.3" plugin_id="2280">
        <description><![CDATA[This plugin enables integration between QGIS and ANYWAYS.]]></description>
        <about><![CDATA[This plugin automates ANYWAYS Routing API by:
-Taking a set of Points of Interest (POIs) and returning routings between all of them based on a given routing profile
-Taking two sets of POIs as Origins and Destinations and returning routings from all origins to all Destinations based on a given routing profile]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.anyways.eu/]]></homepage>
        <file_name>anyways_impact_toolbox.3.4.3.zip</file_name>
        <icon>/media/packages/2026/icon_GOg3i4J.png</icon>
        <author_name><![CDATA[ANYWAYS BV]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/anyways_impact_toolbox/version/3.4.3/download/</download_url>
        <uploaded_by><![CDATA[xivk]]></uploaded_by>
        <create_date>2021-01-15T16:34:07.988298+00:00</create_date>
        <update_date>2026-03-11T15:12:08.951917+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/anyways-open/qgis-plugins/issues]]></tracker>
        <repository><![CDATA[https://github.com/anyways-open/qgis-plugins]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>14042</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CZML Billboard Maker" version="0.8" plugin_id="2281">
        <description><![CDATA[Creates Billboards from a point vector layer.]]></description>
        <about><![CDATA[You can convert your point vector layers into a CZML file to visualize them as billboards in Cesium environment by using this QGIS plugin. \n CZML brief definition from official guide: &quot;CZML is a JSON format for describing a time-dynamic graphical scene, primarily for display in a web browser running Cesium. It describes lines, points, billboards, models, and other graphical primitives, and specifies how they change with time. &quot; \n * * https://github.com/AnalyticalGraphicsInc/czml-writer/wiki/CZML-Guide]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/muratkendir/CZMLBillboardMaker]]></homepage>
        <file_name>CZMLBillboardMaker.0.8.zip</file_name>
        <icon>/media/packages/2023/icon_4g0QjkX.png</icon>
        <author_name><![CDATA[Murat Kendir]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CZMLBillboardMaker/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[muratkendir]]></uploaded_by>
        <create_date>2021-01-17T01:38:41.843939+00:00</create_date>
        <update_date>2023-06-07T15:10:43.927361+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/muratkendir/CZMLBillboardMaker/issues]]></tracker>
        <repository><![CDATA[https://github.com/muratkendir/CZMLBillboardMaker]]></repository>
        <tags><![CDATA[python czml cesium billboard gltf]]></tags>
        <downloads>3443</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Point selection algorithms" version="0.5" plugin_id="2282">
        <description><![CDATA[Calculates different measures for selecting points, e.g., the discrete isolation, functional importance and label grid]]></description>
        <about><![CDATA[This plugin contains tools for the calculation of measures to select points in the process of cartographic generalization. Generally, it helps to find the local maximum or minimum. This function is also useable for analytic purposes.
Calculates the discrete isolation distance for points with numerical attributes. The concept is similar to topographic isolation. Still, it uses only the points and not the terrain as continuous surfaces. The isolation is the distance from one point to the closest point with a higher attribute value. As attribute value can be used, e.g., the elevation (for peaks) or the population (for populated places). By graduating the points by the isolation, you can reach nearly spatially equally distributed point visualization, which can also be combined with other attributes.
As another approach, the functional importance method from Hormann is implemented. In this case, the population and a diameter create a function compared with all points. The difference of function values is stored in the attribute table. If the value is greater than zero, the point should be shown and graduate by the values.
The label grid function ranks the points, ordering from highest to lowest, value in each grid cell. First used by MapBox and implemented in PostgreSQL/PostGIS, now in QGIS. The grid stays invisible and is created by the tool. Besides, it is also to use this function with an own grid or any kind of polygon. At least there is an option to calculate the distance to the nearest point (Nearest Neighbor) without considering any numerical values.
For further details, please see: https://link.springer.com/10.1007/s42489-021-00079-y]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MathiasGroebe/point_selection]]></homepage>
        <file_name>point_selection.0.5.zip</file_name>
        <icon>/media/packages/2021/point_selection_icon_rO6MKWr.png</icon>
        <author_name><![CDATA[Mathias Gröbe]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/point_selection/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[mathiasgroebe]]></uploaded_by>
        <create_date>2021-01-17T16:13:31.878788+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MathiasGroebe/point_selection/issues]]></tracker>
        <repository><![CDATA[https://github.com/MathiasGroebe/point_selection]]></repository>
        <tags><![CDATA[selection,point,analysis,generalization]]></tags>
        <downloads>7000</downloads>
        <average_vote>3.4991252186953257</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Smart-Map" version="1.5" plugin_id="2284">
        <description><![CDATA[Interpolation using Ordinary Kriging and Machine Learning (Support Vector Machine). Generate Management Zones.]]></description>
        <about><![CDATA[This Plugin allows the user to import data from a QGIS Layer. Generate the experimental semivariogram and theoretical semivariograms such as: Linear, Spherical, Exponential and Gaussian. Generate the interpolation using the Ordinary Kriging and Machine Learning method. Generate management zones.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gustavowillam/SmartMapPlugin]]></homepage>
        <file_name>Smart_Map.1.5.zip</file_name>
        <icon>/media/packages/2025/icon_dpTaqth.png</icon>
        <author_name><![CDATA[Gustavo Willam Pereira (IFSUDESTE-MG);Domingos Sárvio Magalhães Valente (UFV);Daniel Marçal de Queiroz (UFV);André Luiz de Freitas Coelho (UFV);Sandro Manuel Carmelino Hurtado (UFU);Marcelo Marques Costa (UFJ)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Smart_Map/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[gustavowillam]]></uploaded_by>
        <create_date>2021-01-19T02:11:44.134399+00:00</create_date>
        <update_date>2025-03-20T13:30:28.307030+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gustavowillam/SmartMapPlugin]]></tracker>
        <repository><![CDATA[https://github.com/gustavowillam/SmartMapPlugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>149465</downloads>
        <average_vote>4.574686352377285</average_vote>
        <rating_votes>174</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PipelineML GeoPackager" version="1.1" plugin_id="2288">
        <description><![CDATA[Load a PipelineML file into a GeoPackage]]></description>
        <about><![CDATA[This plugin reads a PipelineML file and translates its contents into a GeoPackage, allowing QGIS to natively consume and store PipelineML data for GIS analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://jeffbourdier.github.io/]]></homepage>
        <file_name>pml_geopackager.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_quX6UG8.svg</icon>
        <author_name><![CDATA[Jeff Bourdier]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pml_geopackager/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[jeffbourdier]]></uploaded_by>
        <create_date>2021-01-29T23:25:31.939969+00:00</create_date>
        <update_date>2026-02-15T21:47:16.206478+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ogc-pipelineml/pml-geopackager/issues]]></tracker>
        <repository><![CDATA[https://github.com/ogc-pipelineml/pml-geopackager]]></repository>
        <tags><![CDATA[geopackage,pipelineml]]></tags>
        <downloads>2404</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Potential Slope Failure for processing" version="0.3" plugin_id="2289">
        <description><![CDATA[This plugin maps potential slope failures in cohesive soils]]></description>
        <about><![CDATA[This plugin maps potential slope failures in cohesive soils by making use of a raster-based shadow casting algorithm. The method is explained in detail in Lindberg, Olvmo and Bergdahl (2011). (http://www.sciencedirect.com/science/article/pii/S0266352X11000693)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/biglimp/PotentialSlopeFailure/wiki/Potential-Slope-Failure-plugin-for-QGIS]]></homepage>
        <file_name>PotentialSlopeFailure-processing.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_K7zrkrl.png</icon>
        <author_name><![CDATA[Fredrik Lindberg, Gothenburg University]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PotentialSlopeFailure-processing/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[biglimp]]></uploaded_by>
        <create_date>2021-02-02T10:44:53.544163+00:00</create_date>
        <update_date>2026-04-15T08:56:25.566783+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/biglimp/PotentialSlopeFailure/issues]]></tracker>
        <repository><![CDATA[https://github.com/biglimp/PotentialSlopeFailure]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>3363</downloads>
        <average_vote>4.28510212826739</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multi Maps" version="1.1" plugin_id="2294">
        <description><![CDATA[This plugin compose various multiple map on single layout]]></description>
        <about><![CDATA[Two algorithm plugins that make up layouts with multiple maps: by layers or by features

Due algoritmi che compongono layout con mappe multiple: da layers o da elementi]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Korto19/Multiple-Maps#multiple-map]]></homepage>
        <file_name>MultiMaps.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_0sR1Xl4.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MultiMaps/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2021-02-04T10:34:46.272252+00:00</create_date>
        <update_date>2021-02-09T17:32:40.097424+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Korto19/Multiple-Maps/issues]]></tracker>
        <repository><![CDATA[https://github.com/Korto19/Multiple-Maps]]></repository>
        <tags><![CDATA[python,map,composer,plugin,multiple,layout]]></tags>
        <downloads>14470</downloads>
        <average_vote>4.708137160951627</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OS search for addresses" version="1.4" plugin_id="2298">
        <description><![CDATA[Search for addresses if you have an OS API Key]]></description>
        <about><![CDATA[This is proof of concept and provided as is with not warranty. The plugin should allow you to use your OS API key to search for addresses.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/paulwithy/QGIS-OS-Address-Search]]></homepage>
        <file_name>addresssearch.1.4.zip</file_name>
        <icon>/media/packages/2021/icon_DTVL2ql.png</icon>
        <author_name><![CDATA[Paul Withington]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/addresssearch/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[paulwithy]]></uploaded_by>
        <create_date>2021-02-07T09:47:00.362063+00:00</create_date>
        <update_date>2021-03-30T20:37:03.633335+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/paulwithy/QGIS-OS-Address-Search/issues]]></tracker>
        <repository><![CDATA[https://github.com/paulwithy/QGIS-OS-Address-Search]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>6015</downloads>
        <average_vote>3.571173487608028</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BDOO_GML" version="2.0.1" plugin_id="2302">
        <description><![CDATA[This tool can be used to import BDOO GML files and adds them in the QGIS canvas. Also, layes can be symbolized to be similar to the map in 1:250 000 scale.]]></description>
        <about><![CDATA[BDOO_GML imports BDOO GML files.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MarcinLebiecki/BDOO_GML.git]]></homepage>
        <file_name>BDOO_GML_Loader.2.0.1.zip</file_name>
        <icon>/media/packages/2024/BDOO_GML_loader_jHPlbXv.png</icon>
        <author_name><![CDATA[Marcin Lebiecki - Główny Urząd Geodezji I Kartografii]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BDOO_GML_Loader/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[marcinlebiecki]]></uploaded_by>
        <create_date>2021-02-09T12:06:47.322479+00:00</create_date>
        <update_date>2024-04-15T06:24:19.868994+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MarcinLebiecki/BDOO_GML/issues]]></tracker>
        <repository><![CDATA[https://github.com/MarcinLebiecki/BDOO_GML.git]]></repository>
        <tags><![CDATA[python,gml,bdoo]]></tags>
        <downloads>23215</downloads>
        <average_vote>2.7271487659651834</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HTML Table Exporter" version="0.2.0" plugin_id="2303">
        <description><![CDATA[Exports a table as an HTML table with photos which can later be converted into a Word document.  Perfect for organising site visit photos.]]></description>
        <about><![CDATA[The plugin exports a vector table to an HTML table. Each feature will be a row and referenced photos will be rendered within the HTML table. The table can then be opened in MS Word and exported as word document. Useful for quickly preparing your site visit reports with photos taken using Input and Mergin.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.lutraconsulting.co.uk/blog/2021/02/10/batch-exporting-site-visit-photos-to-word/]]></homepage>
        <file_name>html_table_exporter.0.2.0.zip</file_name>
        <icon>/media/packages/2021/icon_O1RdIYl.png</icon>
        <author_name><![CDATA[Lutra Consulting]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/html_table_exporter/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[wellsp]]></uploaded_by>
        <create_date>2021-02-09T13:39:11.860204+00:00</create_date>
        <update_date>2021-02-11T09:10:25.588110+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lutraconsulting/qgis-html-table-exporter/issues]]></tracker>
        <repository><![CDATA[https://github.com/lutraconsulting/qgis-html-table-exporter]]></repository>
        <tags><![CDATA[html,export,photos,input,mergin]]></tags>
        <downloads>8539</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DigitransitGeocoding" version="0.7.3" plugin_id="2313">
        <description><![CDATA[The plugin is meant for searching and geocoding Finnish addresses]]></description>
        <about><![CDATA[The plugin is meant for anyone who wants to utilize the capabilities of Digitransit.fi geocoding API for searching and geocoding Finnish addresses / places in QGIS. Please, note that the data is from National Land Survey of Finland Topographic Database, Population Register Centre of Finland and OpenStreetMap. The National Land Survey (NLS) and the Population Register Centre (via OpenAddresses) data are licensed under CC BY 4.0 license. The OpenStreetMap data is licensed under ODbL license.

As of 3.4.2023 an API key is required to access the Digitransit.fi geocoding API. The key can be acquired from https://portal-api.digitransit.fi/ and in order to use the plugin you must create a global variable in QGIS called DIGITRANSIT_API_KEY and set your subscription (API) key as the value. Please note that the variable is specific to a QGIS profile and may be viewed in plain text in the options window.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GispoCoding/QGISDigitransitGeocoding]]></homepage>
        <file_name>QGISDigitransitGeocoding-master.0.7.3.zip</file_name>
        <icon>/media/packages/2022/icon_mFWdCyf.png</icon>
        <author_name><![CDATA[Gispo Ltd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGISDigitransitGeocoding-master/version/0.7.3/download/</download_url>
        <uploaded_by><![CDATA[gispo]]></uploaded_by>
        <create_date>2021-02-10T13:16:47.853619+00:00</create_date>
        <update_date>2024-09-03T13:00:59.843915+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GispoCoding/QGISDigitransitGeocoding/issues]]></tracker>
        <repository><![CDATA[https://github.com/GispoCoding/QGISDigitransitGeocoding]]></repository>
        <tags><![CDATA[geocoding,finland]]></tags>
        <downloads>5812</downloads>
        <average_vote>3.4991252186953257</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NLS GeoPackage Downloader" version="0.2.2" plugin_id="2314">
        <description><![CDATA[This plugin downloads MTK data from NLS and saves it to a GeoPackage.]]></description>
        <about><![CDATA[Download data from the Finnish NLS Atom feed and create a GeoPackage with built-in styles.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GispoCoding/NLSgpkgloader]]></homepage>
        <file_name>NLSgpkgloader-master.0.2.2.zip</file_name>
        <icon>/media/packages/2021/icon_W5tdUh2.png</icon>
        <author_name><![CDATA[Gispo Ltd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NLSgpkgloader-master/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[22141992]]></uploaded_by>
        <create_date>2021-02-10T13:17:36.139386+00:00</create_date>
        <update_date>2021-02-10T13:17:36.314950+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GispoCoding/NLSgpkgloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/GispoCoding/NLSgpkgloader]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4112</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GTFS Loader" version="1.0.0" plugin_id="2315">
        <description><![CDATA[Plugin for loading GTFS files]]></description>
        <about><![CDATA[This plugin allows to load a GTFS ZIP file, that will be extracted into the GeoPackage with individual tables. For stops and shapes it creates vector layers. There is built-in function for creating colorful shapes layer, so far for Prague integrated transport (PID).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ctu-geoforall-lab.github.io/qgis-gtfs-plugin/]]></homepage>
        <file_name>GTFS_Loader.1.0.0.zip</file_name>
        <icon>/media/packages/2021/icon_x0ie8Rv.png</icon>
        <author_name><![CDATA[CTU GeoForAll Lab]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GTFS_Loader/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[martinl]]></uploaded_by>
        <create_date>2021-02-11T17:35:29.080369+00:00</create_date>
        <update_date>2021-02-11T17:35:29.310811+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ctu-geoforall-lab/qgis-gtfs-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ctu-geoforall-lab/qgis-gtfs-plugin]]></repository>
        <tags><![CDATA[python,shapes,gpkg,gtfs,stops]]></tags>
        <downloads>13529</downloads>
        <average_vote>4.110882728737292</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Inclinometry calculator" version="1.3" plugin_id="2317">
        <description><![CDATA[Plugin for inclinometry processing]]></description>
        <about><![CDATA[This tool calc inclinometry, exports result txt-file and creates shp file with horizontal projection wellbore]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mikkoartik.github.io/InclinometryPlugin/]]></homepage>
        <file_name>inclinometry_calc.1.3.zip</file_name>
        <icon>/media/packages/2021/icon_n9YhfRB.png</icon>
        <author_name><![CDATA[Michael Chernov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/inclinometry_calc/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[mikkoartic]]></uploaded_by>
        <create_date>2021-02-15T11:42:32.686365+00:00</create_date>
        <update_date>2021-11-12T20:35:46.524490+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MikkoArtik/InclinometryPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MikkoArtik/InclinometryPlugin]]></repository>
        <tags><![CDATA[well,wellbore,inclinometry]]></tags>
        <downloads>4470</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Path Sorting" version="0.3" plugin_id="2318">
        <description><![CDATA[Change line direction]]></description>
        <about><![CDATA[Change line direction, if its end point intersect with a point in another pointlayer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GeoEspacioTech/path_sorting/wiki]]></homepage>
        <file_name>path_sorting.0.3.zip</file_name>
        <icon>/media/packages/2021/icon_YSGqt69.png</icon>
        <author_name><![CDATA[GeoEspacio Tech Private Limited]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/path_sorting/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[subhadip007]]></uploaded_by>
        <create_date>2021-02-17T04:31:18.560563+00:00</create_date>
        <update_date>2021-12-12T18:58:34.914849+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoEspacioTech/path_sorting/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoEspacioTech/path_sorting]]></repository>
        <tags><![CDATA[shapefile,point,line,swap,qgis]]></tags>
        <downloads>3536</downloads>
        <average_vote>3.0996900309969004</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LightPollutionToolbox" version="2.0.2" plugin_id="2320">
        <description><![CDATA[Light pollution toolbox]]></description>
        <about><![CDATA[Video tutorials : https://www.youtube.com/playlist?list=PLh9oFe6PuPCVSnbwOEN6aZ1hHkdg5qzg7&lt;/br&gt;https://www.youtube.com/playlist?list=PLh9oFe6PuPCU_K-qqZBIKJWEuRJFRa4Gc&lt;/br&gt;LightPollutionToolbox provides several algorithms to characterize and map light pollution. It has been initially developped to check compliance with french regulations but is intended to go further and gather any treatments relative to light dispersal, public lighting, statistics, ...&lt;/br&gt;&lt;/br&gt;Developped by Mathieu Chailloux &amp; Antoine Sensier (INRAE / UMR TETIS)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MathieuChailloux/LightPollutionToolbox/blob/master/README.md]]></homepage>
        <file_name>LightPollutionToolbox.2.0.2.zip</file_name>
        <icon>/media/packages/2025/lamp.png</icon>
        <author_name><![CDATA[Mathieu Chailloux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LightPollutionToolbox/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[mc]]></uploaded_by>
        <create_date>2021-02-17T14:50:43.582301+00:00</create_date>
        <update_date>2025-11-16T18:31:07.137296+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MathieuChailloux/LightPollutionToolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/MathieuChailloux/LightPollutionToolbox]]></repository>
        <tags><![CDATA[pollution,density,radiance,flux,surfacic,light]]></tags>
        <downloads>5357</downloads>
        <average_vote>4.221753138540162</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoData CZ/SK" version="0.6" plugin_id="2321">
        <description><![CDATA[This plugin gathers cz/sk data sources.]]></description>
        <about><![CDATA[This plugin gathers data sources that provide geospatial data in various formats. These data sources are from Czech republic and Slovakia.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OpenGeoLabs/czech_slovak_freegeodata]]></homepage>
        <file_name>czech_slovak_freegeodata.0.6.zip</file_name>
        <icon>/media/packages/2023/icon_pGvfHU1.png</icon>
        <author_name><![CDATA[OpenGeoLabs and contributors]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/czech_slovak_freegeodata/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[ruz76]]></uploaded_by>
        <create_date>2021-02-17T15:28:43.936699+00:00</create_date>
        <update_date>2023-02-19T08:17:00.539084+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenGeoLabs/czech_slovak_freegeodata/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenGeoLabs/czech_slovak_freegeodata]]></repository>
        <tags><![CDATA[wms,xyz,geodata,cz,sk]]></tags>
        <downloads>13829</downloads>
        <average_vote>4.388645075273596</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geomeletitiki Basin Analysis Toolbox" version="2.1.5" plugin_id="2323">
        <description><![CDATA[Semi-automated Hydrological Basin Analysis toolbox.]]></description>
        <about><![CDATA[A specialised &lt;b&gt;watershed basin analysis&lt;/b&gt; toolbox designed according to the methodology demanded by &lt;b&gt;Greek&lt;/b&gt; legislative standards for Hydrological engineering studies. The plugin is divided into 4 main modules, which should be executed in the respective order
&lt;b&gt;Module1&lt;/b&gt; comes first, and is executed for the whole area/DEM. The user must import a DEM and a Discharge Point (pour point) and also specify the Channel Initiation Threshold. The module produces the following outputs:
-&lt;b&gt;Flow Directions&lt;/b&gt; raster
-&lt;b&gt;Filled DEM&lt;/b&gt; raster (according to Wang&amp;Liu&#x27;s method)
-&lt;b&gt;Channel Network&lt;/b&gt; raster
-&lt;b&gt;Channel Network&lt;/b&gt; vector
-----------------------------------------
&lt;b&gt;Module2&lt;/b&gt; handles basin/sub-basin level analysis. It ingests the Filled DEM and a Control Point and produces:
-The &lt;b&gt;watershed&lt;/b&gt; that drains through the Discharge Point (pour point) as a vector polygon (Watershed Basin)
-&lt;b&gt;Curve Numbers&lt;/b&gt; of the soil, as vector polygons --&gt;CN Labels
-&lt;b&gt;SCS Soil Class&lt;/b&gt; Cover of the basin --&gt;SCS Cover
-&lt;b&gt;Corine Class Cover&lt;/b&gt; of the basin --&gt;Corine Cover
-&lt;b&gt;Contour Lines&lt;/b&gt; (at a user-specified interval) --&gt;Clipped Contour Lines
-&lt;b&gt;Channel Network&lt;/b&gt;, cropped to the watershed of the basin --&gt; Clipped Channel Network
-----------------------------------------
&lt;b&gt;Module3&lt;/b&gt; calculates the Longest Flow Path. The output is:
-&lt;b&gt;Longest Flow Path&lt;/b&gt;as a Vector Polyline
-Its &lt;b&gt;Length&lt;/b&gt; (in meters) and the &lt;b&gt;Elongation Ratio&lt;/b&gt; of the basin, both as attributes of the above layer.
-----------------------------------------
&lt;b&gt;Module4&lt;/b&gt; calculates the parameters needed to produce ICN Curves. It utilizes a dataset of greek meteo stations with their respective parameters and produces:
-&lt;b&gt;Nearest Stations&lt;/b&gt;as Vector Points. Each feature includes the station&#x27;s parameters (κ, λ, ψ, θ, η) as well as its calculated hydrological parameters used for ICN curves extraction.
The stations&#x27; distances from the watershed&#x27;s centroid are calculated and used to apply Inverse Distance Gage Weighting for the calculation of each station&#x27;s parameters contribution to the ICN cuves result.
Through the use of this plugin, most of the analysis process is automated, with user intervention practically needed only to initialize Modules 1, 2 and 3. Land use data are derived from Copernicus&#x27; CORINE2018 dataset, and soil properties are extracted from the Soil Map of Greece. In order to use the plugin, you have to download these &lt;a href=&quot;https://drive.google.com/drive/folders/1uwq5Fixi8lvyIi0cdFhbjfmaBQsONNnK?usp=sharing&quot;&gt;datasets&lt;/a&gt;. Unzip the file and then specify the shapefiles&#x27; location using the 5th button of the plugin toolbar (&#x27;select data folder&#x27;)

Methodology and testing by &lt;a href=&quot;https://gr.linkedin.com/in/ioannis-georgakis-b730526a?trk=people-guest_people_search-card&quot;&gt;Ioannis Georgakis&lt;/a&gt;, Hydraulic Engineer M.Sc., implementation by &lt;a href=&quot;https://gr.linkedin.com/in/efstathios-lymperis-975702188&quot;&gt;Efstathios Lymperis&lt;/a&gt;, Geologist &amp; GIS Developer]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geomeletitiki.gr/]]></homepage>
        <file_name>geomelwatershed-master.2.1.5.zip</file_name>
        <icon>/media/packages/2022/icon_TlrMfvo.png</icon>
        <author_name><![CDATA[Lymperis Efstathios for Geomeletitiki Consulting Engineers S.A.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geomelwatershed-master/version/2.1.5/download/</download_url>
        <uploaded_by><![CDATA[elymperis]]></uploaded_by>
        <create_date>2021-02-20T11:45:57.735470+00:00</create_date>
        <update_date>2022-03-28T11:11:17.225239+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/lymperis-e/Geomeletitiki-Watershed-Analysis-Toolbox---QGIS-Plugin-/issues]]></tracker>
        <repository><![CDATA[https://github.com/lymperis-e/Geomeletitiki-Watershed-Analysis-Toolbox---QGIS-Plugin-]]></repository>
        <tags><![CDATA[python,hydrology,greek,curve number,scs,watershed analysis,channel network,longest flow path,longest flow,cn number,gr]]></tags>
        <downloads>15847</downloads>
        <average_vote>2.7774691700922123</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Monokai Pro (Spectrum) Code Editor Color Scheme" version="1.1" plugin_id="2324">
        <description><![CDATA[Code editor color scheme.]]></description>
        <about><![CDATA[Heavily influenced by the Monokai Pro (Filter Spectrum) color scheme by Wimer Hazenberg for Sublime Text, VS Code and Jetbrains IDEs.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.38.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://monokai.pro]]></homepage>
        <file_name>monokaiprospectrum.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[silvio bentzien]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/monokaiprospectrum/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[sbentzien]]></uploaded_by>
        <create_date>2021-02-20T13:14:30.759151+00:00</create_date>
        <update_date>2026-02-16T15:02:09.194493+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/freeshrugsxd/qgis-monokai-pro-spectrum/issues]]></tracker>
        <repository><![CDATA[https://github.com/freeshrugsxd/qgis-monokai-pro-spectrum]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1353</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Alloy Search Here" version="1.7" plugin_id="2325">
        <description><![CDATA[Searches the current map for Alloy items]]></description>
        <about><![CDATA[Allows a user to connect to Yotta‘s Alloy product and search for items in the current map window. The items are loaded into memory as a copy. No edits are passed back to the system. NB: this requires and existing Alloy account and will only show layers already setup and available to the user account. NB: Provided as is with no maintenance or guarantee.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/paulwithy/alloy_search_here]]></homepage>
        <file_name>alloysearchhere.1.7.zip</file_name>
        <icon>/media/packages/2025/icon_vEgDQYu.png</icon>
        <author_name><![CDATA[Paul Withington]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/alloysearchhere/version/1.7/download/</download_url>
        <uploaded_by><![CDATA[paulwithy]]></uploaded_by>
        <create_date>2021-02-20T16:38:04.325274+00:00</create_date>
        <update_date>2025-01-21T10:07:39.214680+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/paulwithy/alloy_search_here/issues]]></tracker>
        <repository><![CDATA[https://github.com/paulwithy/alloy_search_here]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>9102</downloads>
        <average_vote>3.6660556573904346</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Weißflächenkartierung" version="3.3.2" plugin_id="2327">
        <description><![CDATA[The White Space Mapping Tool provides an innovative and customizable approach to identifying potential areas for the installation of solar and wind energy facilities.]]></description>
        <about><![CDATA[Get Geodata – https://shop.ciss.de
Newsletter – https://www.ciss.de/newsletter/
Demo-Files – https://git.osgeo.org/gitea/CISSTDI/weissflaechenkartierung/archive/3.2.1.zip

--------------

Das Weißflächenkartierungs-Tool bietet eine fortschrittliche und hochgradig anpassbare Methodik zur Identifizierung potenziell geeigneter Flächen für Solar- und Windenergieanlagen. Es unterstützt eine strukturierte und transparente Bewertung von Restriktions- und Ausschlusskriterien durch eine kartenbasierte Visualisierung und ermöglicht so eine effiziente und reproduzierbare Erfassung des Flächenpotenzials. Das Tool basiert auf der Auswertung autoritativer Geodaten mithilfe eines Geoinformationssystems (GIS) wie QGIS.

Eine umfassende Auswahl offizieller Geodaten bildet die Grundlage für die Abgrenzung potenzieller Flächen innerhalb der Weißflächenkartierung. In QGIS können diese Datensätze in unterschiedlichen Formaten integriert werden, darunter Tabellen, Textdateien, Web Feature Services (WFS) sowie weitere gängige Geodatenformate. Der Workflow zur Identifikation von Weißflächen ist vollständig automatisiert und auf hohe Effizienz ausgelegt. Nach der Auswahl des Projektgebiets werden alle relevanten thematischen Layer geladen. Anschließend werden Pufferzonen gemäß vordefinierter Abstands- und Restriktionsregeln erstellt. Diese gepufferten Ausschlussflächen werden im nächsten Schritt systematisch vom Projektgebiet abgezogen („Punch-out“-Verfahren). Das Ergebnis ist eine übersichtliche und intuitive Kartendarstellung, die potenzielle Weißflächen auf einen Blick sichtbar macht.

Nach Abschluss der Weißflächenkartierung auf Basis der definierten Kriterien erfolgt eine weiterführende Weißflächenanalyse. Diese umfasst eine tabellarische Darstellung der berechneten Flächen nach Kategorien sowie der daraus abgeleiteten technischen Potenziale. Diese Ergebnisse bilden eine belastbare Grundlage für weiterführende Planungen, Machbarkeitsanalysen und Entscheidungsprozesse im Kontext der Entwicklung erneuerbarer Energieprojekte.

Darüber hinaus ermöglicht das Weißflächenkartierungs-Tool eine initiale Kategorisierung der identifizierten Weißflächen anhand spezifischer Parameter, beispielsweise der Entfernung zum nächstgelegenen Transformator oder Netzanschlusspunkt. Diese zusätzliche Analyseebene unterstützt die Priorisierung und vergleichende Bewertung potenzieller Standorte und trägt zur Identifikation der am besten geeigneten Flächen für erneuerbare Energieprojekte bei.

--------------

The White Space Mapping Tool provides an innovative and customizable approach to identifying potential areas for the installation of solar and wind energy facilities. It enables a systematic review of restrictive and excluding criteria on a map, facilitating an efficient inventory of available space potential. This process is based on the evaluation of geographic base data using a Geographic Information System (GIS) application such as QGIS. Extensive official geospatial data forms the basis for determining potential areas integrated into the White Space Mapping Tool. In QGIS, this data can be incorporated in various formats such as tables, text, via Web Feature Service (WFS), or other geospatial formats. The workflow for white space identification is automated and efficiently designed. After selecting a project area, relevant layers are loaded, followed by setting up buffering according to specific distance rules. Subsequently, the &quot;punching out&quot; or subtracting of buffered areas from the project area is performed. The result is a clear map representation that easily identifies potential white spaces at a glance. Once the white space mapping is created based on defined criteria, white space analysis follows. This involves tabular representation of areas calculated for categories and the resulting technical potentials. These pieces of information serve as a basis for further planning and analysis within the context of renewable energy projects. Another function of the tool is the initial categorization of white spaces based on specific criteria such as the distance to the nearest transformer. This additional decision-making layer allows for further analysis and prioritization of potential areas to identify the best locations for renewable energy projects.]]></about>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2024/CISS-Signet.png</icon>
        <author_name><![CDATA[CISS TDI GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/weissflaechenkartierung/version/3.3.2/download/</download_url>
        <uploaded_by><![CDATA[cisstdi]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://git.osgeo.org/gitea/CISSTDI/weissflaechenkartierung/issues]]></tracker>
        <repository><![CDATA[https://git.osgeo.org/gitea/CISSTDI/weissflaechenkartierung]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7225</downloads>
        <average_vote>4.6824653576927355</average_vote>
        <rating_votes>63</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MiMiGIS" version="1.0.2" plugin_id="2329">
        <description><![CDATA[This plugin contains tools for teaching introductory QGIS.]]></description>
        <about><![CDATA[This plugin contains tools for teaching introductory QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon></icon>
        <author_name><![CDATA[Maja Cannavo and Joseph Holler]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MiMiGIS/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[josephholler]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GIS4DEV/MiMiGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/GIS4DEV/MiMiGIS]]></repository>
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        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layout Map Cropper" version="0.1" plugin_id="2333">
        <description><![CDATA[This plugin crops (resizes) the map item on a layout to precisely fit a map layer.]]></description>
        <about><![CDATA[This plugin crops (resizes) the map item on a layout to precisely fit a map layer. This is usefull if you have a rectangular sized map.
Usage:
- Select the map on your layout
- Activate the plugin through the menu or button
- Select constraining layer from the list

The map wil be fitted to the width of the map item on the layout. The height will be adjusted accordingly. In the item properties tab lock the aspect ratio and resize to your needs or hold SHIFT while manually resizing.]]></about>
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        <icon>/media/packages/2021/icon_3M7q6KX.png</icon>
        <author_name><![CDATA[P. van de Geer]]></author_name>
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        <uploaded_by><![CDATA[pvandegeer]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/pvandegeer/itemmap_cropper/issues]]></tracker>
        <repository><![CDATA[https://github.com/pvandegeer/itemmap_cropper]]></repository>
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        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Raster Splitter" version="2.3.1" plugin_id="2334">
        <description><![CDATA[This plugin allows you to split raster files, based on given polygon data.]]></description>
        <about><![CDATA[Using this plugin you can split your raster file based on given polygon vector. It is possible to clip or extract parts from rasters. Output can be one raster file that is clipped/extracted by whole polygon dataset or multiple raster files that are clipped/extracted by each polygon feature seperately. For correct results please be sure that all of the inputs have the same coordinate reference system.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_easy_raster_splitter_plugin]]></homepage>
        <file_name>easy_raster_splitter.2.3.1.zip</file_name>
        <icon>/media/packages/2025/icon_aCV7dHk.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easy_raster_splitter/version/2.3.1/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2021-03-01T10:49:35.308813+00:00</create_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_easy_raster_splitter_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_easy_raster_splitter_plugin/tree/main/easy_raster_splitter]]></repository>
        <tags><![CDATA[python,raster,delete,split,mask,clip,extract,crop,erase,cut]]></tags>
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        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BC TRO API" version="0.1" plugin_id="2335">
        <description><![CDATA[The plugin links to the BC TRO API, allowing users to request and view live Traffic Regulation Orders (TRO) in QGIS. The data covers several authorities  in the UK and is available three TRO formats BCNative, Alliance for Parking Data Standards (APDS) or TRO-D.]]></description>
        <about><![CDATA[Buchanan Computing is a private company based in Hammersmith, London. We specialise in software for traffic engineering and highway management and in web mapping, cloud computing and training.  We develop, supply and support systems for customers throughout the British Isles. We are the foremost supplier to UK highway authorities of computer mapping (GIS), and software for the design and management of traffic regulation orders and traffic signs.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.trafficorders.uk/api.html]]></homepage>
        <file_name>tro_api.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_Y4dnDzm.png</icon>
        <author_name><![CDATA[Buchanan Computing]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tro_api/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[janicki95]]></uploaded_by>
        <create_date>2021-03-01T11:56:32.188692+00:00</create_date>
        <update_date>2021-03-01T11:56:33.246622+00:00</update_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/janicki95/TRO-API/issues]]></tracker>
        <repository><![CDATA[https://github.com/janicki95/TRO-API]]></repository>
        <tags><![CDATA[python]]></tags>
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        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Périmètre d&#x27;ASA" version="2.0.0" plugin_id="2336">
        <description><![CDATA[French use case only. Extension pour la jointure des données parcellaires et un fichier métier pour http://asainfo.fr/]]></description>
        <about><![CDATA[French use case only. Effectuer une jointure entre les données parcellaires et un fichier métier pour http://asainfo.fr/]]></about>
        <trusted>True</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/3liz/qgis-perimetre_asa-plugin]]></homepage>
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        <icon>/media/packages/2021/icon_BBtZ1LX.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/perimetre_asa/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/3liz/qgis-perimetre_asa-plugin]]></tracker>
        <repository><![CDATA[https://github.com/3liz/qgis-perimetre_asa-plugin]]></repository>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Partial Histogram" version="1.2" plugin_id="2337">
        <description><![CDATA[This plugin creates histogram of a part of a raster.]]></description>
        <about><![CDATA[This plugin creates histogram of a part of a raster. The histogram is created according to the specified polygon layer.For correct results please be sure that the layer and the canvas have same coordinate reference system. (In this plugin opencv2 and matplotlib module is used and some QGIS versions may not include these modules. If you get an error about this, you have to install it manually. To learn how to install, check the README file in Github page or search it on internet.)]]></about>
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        <icon>/media/packages/2021/icon_CjaQ71p.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/partial_histogram/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_partial_histogram_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_partial_histogram_plugin/tree/main/partial_histogram]]></repository>
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        <average_vote>4.997501249375313</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PostGIS Queries" version="1.0" plugin_id="2338">
        <description><![CDATA[Processing plugin-based provider that adds scripts to execute PostGIS queries using the built-in script &quot;gdal:executesql&quot;. | Provedor do Processing que inclui scripts para executar consultas do PostGIS usando o script &quot;gdal:executesql&quot;.]]></description>
        <about><![CDATA[The scripts are intended to solve common spatial problems, such as finding dangles and pseudonodes in a line layer. To execute the scripts, at least one layer with a connection to the PostGIS database must be passed. Depending on the script, other parameters may be required.

-------------------------------------------------------------------------------------------------------------------------------------

Os scripts adicionados procuram resolver problemas espaciais comuns, como achar dangles ou pseudonós em uma camada tipo linha. Para executar os scripts, pelo menos uma camada com conexão ao PostGIS precisa ser passada. Dependendo do script, são requeridos ainda outros parâmetros.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcelgaucho/PostGISQueries]]></homepage>
        <file_name>PostGISQueries.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Marcel Rotunno (IBGE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PostGISQueries/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[marcelrotunno]]></uploaded_by>
        <create_date>2021-03-02T21:38:20.642844+00:00</create_date>
        <update_date>2025-03-07T22:16:08.414003+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcelgaucho/PostGISQueries/issues]]></tracker>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Area Weighted Average" version="0.2.1" plugin_id="2339">
        <description><![CDATA[Area Weighted Average.]]></description>
        <about><![CDATA[This plugin performs spatial area weighted average analysis on an input polygon layer given an attribute in the overlay polygon layer. Each feature in the input layer will be assigned a spatial area weighted average value of the overlay field. A report of the analysis is generated as a GIS Layer and as HTML.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2023/icon_Y3TGLvz.png</icon>
        <author_name><![CDATA[Abdul Raheem Siddiqui]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/area_weighted_average/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[someone191]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ar-siddiqui/area_weighted_average/issues]]></tracker>
        <repository><![CDATA[https://github.com/ar-siddiqui/area_weighted_average]]></repository>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="geocat.ch Export" version="v1.0.1" plugin_id="2340">
        <description><![CDATA[Export layer metadata to a geocat.ch compatible XML format.]]></description>
        <about><![CDATA[This QGIS plugin lets you export layer metadata to a geocat.ch compatible XML format (ISO 19139_CHE profile), which then can be uploaded to the geocat.ch metadata catalog.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
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        <icon>/media/packages/2021/cat-logo_0Iosr5J.png</icon>
        <author_name><![CDATA[GeoWerkstatt GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocat_export/version/v1.0.1/download/</download_url>
        <uploaded_by><![CDATA[geowerkstatt]]></uploaded_by>
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        <repository><![CDATA[https://github.com/GeoWerkstatt/qgis-geocat-export]]></repository>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Land Degradation Monitoring Program]]></description>
        <about><![CDATA[The core-service provides land degradation indicators for African Countries at two levels. At the regional level(North Africa action zone) where low and medium resolution EO are used.At the pilot site level, where(customized indicators) can be developed, using medium resoultion data(landsat time series imagery and derived vegetation indices, combined with different satellite-derived climate data). Note: MISLAND-Africa is an operational instrument relying on the international standards for reporting SDG 15.3.1 and technical approaches allowing the delivery of regular information on vegetation cover gain/loss to decision makers and environmental agencies at the first place.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/Kevin-Kiprotich/MISLANDAFRICA]]></homepage>
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        <icon>/media/packages/2025/misland_logo_hcoRims.png</icon>
        <author_name><![CDATA[Kevin Kiprotich, sMustapha MIMOUNI, Nabil KHATRA, Amjed TAIEB, Haithem REJEB, Toure SOULEYMANE, Vivianne META, Derick ONGERI, Grace AMONDI, Seth NYAWACHA, and Simon NDARAU.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MISLAND/version/1.1.3/download/</download_url>
        <uploaded_by><![CDATA[kambia]]></uploaded_by>
        <create_date>2021-03-05T06:23:39.109467+00:00</create_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kevin-Kiprotich/MISLANDAFRICA/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kevin-Kiprotich/MISLANDAFRICA]]></repository>
        <tags><![CDATA[python,land degradation,coastal erosion,soil erosion,vegetation loss,sdg 15.3.1,forest fires,land productivity]]></tags>
        <downloads>5622</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QNeighborhood" version="0.1.1" plugin_id="2348">
        <description><![CDATA[This plugin selects the polygons adjacent to a given polygon]]></description>
        <about><![CDATA[The user click in the map view on a spatial object from polygonal layer, the spatial objects that are adjacent neighbors of the first one in the same layer are selected. Additionally, the identification attributes of the selected spatial objects are displayed in the plugin window.&lt;br&gt;&lt;br&gt;&lt;h3&gt;Citation&lt;/h3&gt;If you feel like &lt;b&gt;QNeigborhood&lt;/b&gt; has made a contribution to your research, please consider citing it using: &lt;br&gt;&lt;br&gt;&lt;i&gt;Ramírez, S. (2021). QNeighborhood. QGIS 3 plugin version 0.1.&lt;/i&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/salomoneinstein/QNeighborhood]]></homepage>
        <file_name>QNeighborhood.0.1.1.zip</file_name>
        <icon>/media/packages/2021/icon_cLVldGZ.png</icon>
        <author_name><![CDATA[Salomón Einstein]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QNeighborhood/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[salomoneinstein]]></uploaded_by>
        <create_date>2021-03-07T05:01:02.991101+00:00</create_date>
        <update_date>2021-03-13T23:10:58.417194+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/salomoneinstein/QNeighborhood/issues]]></tracker>
        <repository><![CDATA[https://github.com/salomoneinstein/QNeighborhood.git]]></repository>
        <tags><![CDATA[analysis,neighbor,neighborhood]]></tags>
        <downloads>4744</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick STEP GEOBIA" version="0.1.2" plugin_id="2349">
        <description><![CDATA[Accuracy assessment of object-based image classification - GEOBIA]]></description>
        <about><![CDATA[Quick STEP GEOBIA plugin for QGIS 3 implements STEP, a novel object-based similarity matrix, for assessing both geometric and thematic accuracies of remote-sensing image classification. In contrast to the traditional error matrix, STEP uses samples of classified and reference objects rather than counts of pixels. Moreover, STEP provides four (4) similarity metrics for characterization of classified objects compared with reference objects: (i) shape similarity (S); (ii) theme similarity (T); (iii) edge similarity (E); and (iv) position similarity (P). For more information see: &lt;a href = &#x27;http://www.tandfonline.com/doi/abs/10.1080/01431161.2014.943328&#x27;&gt;Lizarazo, I. (2014). Accuracy assessment of object-based image classification: another STEP. International Journal of Remote Sensing, 35(16), 6135-6156.&lt;/a&gt;&lt;br&gt;&lt;br&gt;If you feel like Quick STEP plugin for QGIS has made a contribution to your research, please consider citing it using: Ramirez, S., &amp; Lizarazo, I.(2021). Quick STEP GEOBIA: Similarity matrix. QGIS 3 plugin version 0.1. &lt;br&gt;&lt;br&gt;An example dataset for this plugin is located here: &lt;a = href=&quot;https://goo.gl/Gso2B3&quot;&gt;https://goo.gl/Gso2B3&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/salomoneinstein/QuickStepGeobia]]></homepage>
        <file_name>QuickStepGeobia.0.1.2.zip</file_name>
        <icon>/media/packages/2021/icon_5a7GpeO.png</icon>
        <author_name><![CDATA[Salomón Einstein, Ivan Lizarazo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickStepGeobia/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[salomoneinstein]]></uploaded_by>
        <create_date>2021-03-07T16:00:55.839345+00:00</create_date>
        <update_date>2021-04-10T22:22:55.257982+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/salomoneinstein/QuickStepGeobia/issues]]></tracker>
        <repository><![CDATA[https://github.com/salomoneinstein/QuickStepGeobia.git]]></repository>
        <tags><![CDATA[accuracy assessment,accuracy,theme similarity,similarity matrix,geobia,position similarity,edge similarity,similarity]]></tags>
        <downloads>7395</downloads>
        <average_vote>4.570775603485216</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PIBC" version="1.1.0" plugin_id="2351">
        <description><![CDATA[A plugin to place SEM images to the QGIS canvas by their coordinates.]]></description>
        <about><![CDATA[This plugin allows you to arrange images taken with a microscope or electron microscope on a canvas according to the coordinates in their metadata.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wiscsims/PIBC.git]]></homepage>
        <file_name>pibc.1.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[WiscSIMS (Kouki Kitajima)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pibc/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[saburo]]></uploaded_by>
        <create_date>2021-03-08T07:14:46.423929+00:00</create_date>
        <update_date>2021-03-08T07:14:48.710377+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wiscsims/PIBC]]></tracker>
        <repository><![CDATA[https://github.com/wiscsims/PIBC]]></repository>
        <tags><![CDATA[python,raster,coordinates,image,sem,microscope]]></tags>
        <downloads>1260</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PolSAR tools" version="0.8.1" plugin_id="2353">
        <description><![CDATA[A QGIS plugin for processing Polarimetric Synthetic Aperture Radar (PolSAR) data.]]></description>
        <about><![CDATA[This plugin generates derived SAR parameters (viz. polarimetric descriptors, vegetation indices, polarimetric decomposition parameters) from input polarimetric matrix (S2, C4, C3, T4, T3, Sxy, C2, T2).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/polsartools/PolSARtools-QGIS]]></homepage>
        <file_name>polsar_tools.0.8.1.zip</file_name>
        <icon>/media/packages/2025/icon_1tcQJ9c.png</icon>
        <author_name><![CDATA[Narayanarao Bhogapurapu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/polsar_tools/version/0.8.1/download/</download_url>
        <uploaded_by><![CDATA[bnarayanarao]]></uploaded_by>
        <create_date>2021-03-09T17:10:07.574086+00:00</create_date>
        <update_date>2025-10-23T14:26:41.846464+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/polsartools/PolSARtools-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/polsartools/PolSARtools-QGIS.git]]></repository>
        <tags><![CDATA[sar,vegetation,dop,rvi,polsar,dprvi,prvi,vegetation index,decomposition,sarindex,mf3cf,mf3cc,grvi,dualpol,isomega,mrslab,cprvi,fullpol,compactpol,mf4cf]]></tags>
        <downloads>7052</downloads>
        <average_vote>4.693155152527543</average_vote>
        <rating_votes>176</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Road Slope Calculator" version="0.6" plugin_id="2354">
        <description><![CDATA[This algorithm is used to calculate the longitudinal slope of forest paths and roads, based on a 2D line vector layer and a DEM (Digital Elevation Model). It should not be used on national road systems, such as highways, motorways, national and regional roads, which have engineering works designed to smooth the slope (bridges, excavations, landfills, etc.), unless the user has access to a high precision Digital Surface Model (DSM). Not to be used with line vector layers in geographic coordinates.]]></description>
        <about><![CDATA[To run this plugin, go to Processing menu, open Toolbox window, and look for Road Slope -&gt; Road slope calculator. For more (important) information, visit https://github.com/Almeida100/RSC.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Almeida100]]></homepage>
        <file_name>road_slope_calculator.0.6.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Antonio Sobral Almeida]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/road_slope_calculator/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[al150]]></uploaded_by>
        <create_date>2021-03-09T21:40:36.018837+00:00</create_date>
        <update_date>2025-08-20T14:16:59.180932+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Almeida100/RSC/issues]]></tracker>
        <repository><![CDATA[https://github.com/Almeida100/RSC]]></repository>
        <tags><![CDATA[distance,routing,line,geometry,processing]]></tags>
        <downloads>21201</downloads>
        <average_vote>3.631483382016263</average_vote>
        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LF Tools" version="2.10.0" plugin_id="2357">
        <description><![CDATA[Comprehensive solutions for cartographic production, surveying, drone mapping, GNSS data import, geospatial database management, digital image processing, and spatial analysis.]]></description>
        <about><![CDATA[The LFTools plugin is a true &quot;Swiss Army knife&quot; developed for QGIS, bringing together more than 135 scripts, expression functions, and toolbar tools. It caters to a wide range of needs, including cartographic production, surveying, drone operations, GNSS, image processing, database management, and spatial analysis. Since its launch in March 2021, it has become the most downloaded Brazilian-developed plugin on the platform, widely adopted by surveyors, cartographers, geographers, and other professionals working with geotechnologies. LFTools stands out for offering practical and automated solutions for creating topographic plans, descriptive reports, and other technical documents, combining automation efficiency with QGIS Atlas features and Python expressions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LEOXINGU/lftools/wiki/LF-Tools-for-QGIS]]></homepage>
        <file_name>lftools.2.10.0.zip</file_name>
        <icon>/media/packages/2026/lftools_logo_WzWo3lB.png</icon>
        <author_name><![CDATA[Leandro França]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lftools/version/2.10.0/download/</download_url>
        <uploaded_by><![CDATA[leandrofranca]]></uploaded_by>
        <create_date>2021-03-12T12:04:02.172357+00:00</create_date>
        <update_date>2026-04-14T12:51:21.901103+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LEOXINGU/lftools/issues]]></tracker>
        <repository><![CDATA[https://github.com/LEOXINGU/lftools]]></repository>
        <tags><![CDATA[vector,raster,postgis,geotag,dem,topography,processing,nmea,cadastre,expressions,memorial,document,magnetic,cartography,surveying,brazil,reambulation,description,ellipses,lftools,drones,gnss,rtklib,geoone]]></tags>
        <downloads>349172</downloads>
        <average_vote>4.776308806566073</average_vote>
        <rating_votes>684</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GEE Timeseries Explorer" version="2.0" plugin_id="2358">
        <description><![CDATA[A QGIS plugin for interactive exploration of temporal raster data available in Google Earth Engine (GEE).]]></description>
        <about><![CDATA[Adds two panels for selecting and visualizing images and temporal profiles from a GEE image collection. See the project homepage for usage instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.24.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geetimeseriesexplorer.readthedocs.io]]></homepage>
        <file_name>geetimeseriesexplorer.2.0.zip</file_name>
        <icon>/media/packages/2022/icon_8SBq9as.png</icon>
        <author_name><![CDATA[Andreas Rabe, Philippe Rufin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geetimeseriesexplorer/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[janzandr]]></uploaded_by>
        <create_date>2021-03-12T17:03:00.288061+00:00</create_date>
        <update_date>2022-05-30T12:07:28.572516+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/janzandr/geetimeseriesexplorer/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/janzandr/geetimeseriesexplorer]]></repository>
        <tags><![CDATA[raster,profile,time,landsat,remote sensing,sentinel,timeseries,visualization,modis,plotting,temporal,google earth engine,exploration,satellite imagery,image collection,gee]]></tags>
        <downloads>43901</downloads>
        <average_vote>4.217299623921219</average_vote>
        <rating_votes>46</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Shoreline Identifier" version="1.3.5" plugin_id="2359">
        <description><![CDATA[This plugin is used for the identification of shore lines starting from topographic surveys]]></description>
        <about><![CDATA[The plugin was created to allow the identification of shore lines starting from the high resolution Digital Elevation Model (DEM).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://doi.org/10.3390/w12113110]]></homepage>
        <file_name>shoreline.1.3.5.zip</file_name>
        <icon>/media/packages/2024/icon_9KIoEiZ.png</icon>
        <author_name><![CDATA[University of Pisa - Earth Sciences Department and TerreLogiche s.r.l.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shoreline/version/1.3.5/download/</download_url>
        <uploaded_by><![CDATA[luppichini]]></uploaded_by>
        <create_date>2021-03-13T10:21:42.356876+00:00</create_date>
        <update_date>2024-12-12T14:24:57.759947+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mluppichini/Shoreline_QGIS_Plugin#shoreline_qgis_plugin]]></tracker>
        <repository><![CDATA[https://github.com/mluppichini/Shoreline_QGIS_Plugin#shoreline_qgis_plugin]]></repository>
        <tags><![CDATA[python,dem,coastline,shoreline,coast]]></tags>
        <downloads>8409</downloads>
        <average_vote>4.458147577184284</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Reverse Flow Direction" version="0.2" plugin_id="2360">
        <description><![CDATA[This Plugin changes the direction of a polyline feature.]]></description>
        <about><![CDATA[&lt;b&gt;Reverse Flow Direction&lt;/b&gt; changes the direction of a polyline feature. The first vertex becomes the last vertex while the actual location of the vertices remains unchanged.&lt;br&gt;&lt;br&gt; &lt;h3&gt;Citation&lt;/h3&gt;&lt;br&gt; If you feel like &lt;b&gt;Reverse Flow Direction&lt;/b&gt; plugin for QGIS has made a contribution to your research, please consider citing it using: Ramirez, S. (2021). Reverse Flow Direction. QGIS plugin version 0.1.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/salomoneinstein/ReverseFlowDirection]]></homepage>
        <file_name>ReverseFlow.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_RDNtaw9.png</icon>
        <author_name><![CDATA[Salomón Einstein]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ReverseFlow/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[salomoneinstein]]></uploaded_by>
        <create_date>2021-03-13T21:56:23.265660+00:00</create_date>
        <update_date>2021-03-20T14:03:47.978026+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/salomoneinstein/ReverseFlowDirection/issues]]></tracker>
        <repository><![CDATA[https://github.com/salomoneinstein/ReverseFlowDirection.git]]></repository>
        <tags><![CDATA[flow,direction,reverse,upstream]]></tags>
        <downloads>5610</downloads>
        <average_vote>4.665889018496917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapBiomas API" version="0.3.1" plugin_id="2361">
        <description><![CDATA[MapBiomas API for QGIS]]></description>
        <about><![CDATA[Get MapBiomas alerts directly into QGIS through the application interface. It is required to register an account.
If you don’t have one, sign-up here: https://plataforma.alerta.mapbiomas.org/cadastre-se.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sandroklippel/qgis-mapbiomas-api/wiki]]></homepage>
        <file_name>mapbiomas-api.0.3.1.zip</file_name>
        <icon>/media/packages/2021/icon_2ihDaY4.png</icon>
        <author_name><![CDATA[Sandro Klippel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapbiomas-api/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[sandroklippel]]></uploaded_by>
        <create_date>2021-03-17T03:56:39.581800+00:00</create_date>
        <update_date>2021-08-13T22:37:28.332386+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/sandroklippel/qgis-mapbiomas-api/issues]]></tracker>
        <repository><![CDATA[https://github.com/sandroklippel/qgis-mapbiomas-api]]></repository>
        <tags><![CDATA[api,brazil,alerts,deforestation]]></tags>
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        <average_vote>4.499625031247397</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Frequency Overlaps" version="1" plugin_id="2362">
        <description><![CDATA[Check for overlapping frequencies]]></description>
        <about><![CDATA[This plugin is a tool for radio spectrum management and interference analysis. It allows users to visualize and analyze frequency assignments geographically, identifying potential overlaps between station frequencies. By utilizing station location data and their respective frequency ranges (start and stop frequencies), the plugin detects frequency overlaps between stations, as well as available frequencies that can be assigned.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/slobbish/qgis-frequency-overlaps/tree/master]]></homepage>
        <file_name>frequency_overlaps.1.zip</file_name>
        <icon>/media/packages/2025/icon_J3r0wUP.png</icon>
        <author_name><![CDATA[Cavin Wang]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/frequency_overlaps/version/1/download/</download_url>
        <uploaded_by><![CDATA[cavinwang]]></uploaded_by>
        <create_date>2021-03-18T14:02:43.543675+00:00</create_date>
        <update_date>2025-03-05T14:18:42.368270+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/slobbish/qgis-frequency-overlaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/slobbish/qgis-frequency-overlaps/tree/master]]></repository>
        <tags><![CDATA[vector,point,polygon,centroid,geometry,frequency overlaps,radio frequency]]></tags>
        <downloads>2265</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Rename Field" version="0.1" plugin_id="2363">
        <description><![CDATA[This plugin let user changes the field&#x27;s name from a vector layer]]></description>
        <about><![CDATA[First, the user select a vector layer from vector layers list. Next, he select a field from selected layer. Then, he enter field&#x27;s new name. Finally, he must push rename button.&lt;br&gt;&lt;br&gt;&lt;h3&gt;Citation&lt;/h3&gt;If you feel like &lt;b&gt;Rename Field&lt;/b&gt; has made a contribution to your research, please consider citing it using:&lt;br&gt;Ramirez, S. (2021). Rename Field. QGIS 3 plugin version 0.1.&lt;br&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/salomoneinstein/RenameField]]></homepage>
        <file_name>RenameField.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_G5qOUIM.png</icon>
        <author_name><![CDATA[Salomón Einstein, Universidad Distrital Francisco José de Caldas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RenameField/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[salomoneinstein]]></uploaded_by>
        <create_date>2021-03-22T21:05:25.758498+00:00</create_date>
        <update_date>2021-03-22T21:05:26.170685+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/salomoneinstein/RenameField/issues]]></tracker>
        <repository><![CDATA[https://github.com/salomoneinstein/RenameField.git]]></repository>
        <tags><![CDATA[field,name,rename]]></tags>
        <downloads>8548</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CanFlood" version="1.2.2" plugin_id="2364">
        <description><![CDATA[Flood risk modelling toolbox.]]></description>
        <about><![CDATA[Provides a suite of tools for building, running, and analyzing simple flood risk models from typical asset and exposure data. Includes a tool for performing fragility calculations on dikes, downloading common flood vulnerability function libraries for buildings, and connecting to useful Canadian web-data. While the focus of the plugin is using depth-damage curves to estimate annualized flood risk from tangible building damages, the flexibility of the framework facilitates calculation of a wide-range of vulnerabilities from user-provided functions.

Fournit une suite d’outils pour élaborer, exécuter et analyser des modèles simples de risques d’inondation à partir de données typiques sur les actifs et l’exposition. Comprend un outil permettant d’effectuer des calculs de fragilité sur les digues, de télécharger des bibliothèques de fonctions courantes de vulnérabilité aux inondations pour les bâtiments et d’accéder à des données canadiennes utiles sur le Web. Bien que le plugiciel soit axé sur l’utilisation de courbes profondeur-dommages pour estimer le risque d’inondation annualisé à partir de dommages matériels causés aux bâtiments, la flexibilité du cadre facilite le calcul d’une large gamme de vulnérabilités à partir de fonctions fournies par l’utilisateur.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NRCan/CanFlood]]></homepage>
        <file_name>canflood.1.2.2.zip</file_name>
        <icon>/media/packages/2025/logo_20210510_22x22_TLzOOfe.png</icon>
        <author_name><![CDATA[Seth Bryant]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/canflood/version/1.2.2/download/</download_url>
        <uploaded_by><![CDATA[canflood]]></uploaded_by>
        <create_date>2021-03-23T21:18:12.964762+00:00</create_date>
        <update_date>2025-03-25T17:57:35.285487+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NRCan/CanFlood/issues]]></tracker>
        <repository><![CDATA[https://github.com/NRCan/CanFlood]]></repository>
        <tags><![CDATA[flood,model,dikes,levees,flood risk,annualized loss]]></tags>
        <downloads>10256</downloads>
        <average_vote>4.562214861571151</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Unfolded" version="v1.0.5" plugin_id="2365">
        <description><![CDATA[Export QGIS Maps to Unfolded Studio and publish them on the web.]]></description>
        <about><![CDATA[This plugin exports a QGIS map into a format that can be imported into &lt;a href=&quot;https://studio.unfolded.ai&quot;&gt;Unfolded Studio&lt;/a&gt; for further analysis or one-click publishing to the web after signing up for a free &lt;a href=&quot;https://unfolded.ai&quot;&gt;Unfolded&lt;/a&gt; account.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/foursquare/qgis-plugin]]></homepage>
        <file_name>Unfolded.v1.0.5.zip</file_name>
        <icon>/media/packages/2023/icon_wNUxf1k.svg</icon>
        <author_name><![CDATA[Foursquare]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Unfolded/version/v1.0.5/download/</download_url>
        <uploaded_by><![CDATA[foursquare]]></uploaded_by>
        <create_date>2021-03-24T12:24:51.783673+00:00</create_date>
        <update_date>2023-07-20T10:16:25.200528+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/foursquare/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/foursquare/qgis-plugin]]></repository>
        <tags><![CDATA[web,export,webmap,unfolded map sdk,unfolded studio,unfolded,unfolded data sdk]]></tags>
        <downloads>3895</downloads>
        <average_vote>4.529145344391506</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Hidroweb Downloader" version="1.1.0" plugin_id="2367">
        <description><![CDATA[Download hydrological data from ANA&#x27;s API (Hidroweb)]]></description>
        <about><![CDATA[Download hydrological data from ANA&#x27;s API (Hidroweb) using a shapefile.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alexnaoki/hidroweb-downloader-plugin]]></homepage>
        <file_name>hidroweb_downloader.1.1.0.zip</file_name>
        <icon>/media/packages/2021/icon_rV6nTFx.png</icon>
        <author_name><![CDATA[Alex Naoki Asato Kobayashi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hidroweb_downloader/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[alexkobayashi]]></uploaded_by>
        <create_date>2021-03-28T01:57:29.046430+00:00</create_date>
        <update_date>2021-03-29T21:04:05.317793+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alexnaoki/hidroweb-downloader-plugin]]></tracker>
        <repository><![CDATA[https://github.com/alexnaoki/hidroweb-downloader-plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>6864</downloads>
        <average_vote>3.8745156855393077</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ordered Relation Editor" version="0.3.7" plugin_id="2368">
        <description><![CDATA[Provides a relation editor widget to handle ordered relations]]></description>
        <about><![CDATA[Provides a relation editor widget to handle ordered relations]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis-ordered-relation-editor]]></homepage>
        <file_name>ordered_relation_editor.0.3.7.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Denis Rouzaud]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ordered_relation_editor/version/0.3.7/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2021-03-29T06:07:03.240271+00:00</create_date>
        <update_date>2026-03-11T09:04:12.103628+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis-ordered-relation-editor/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis-ordered-relation-editor]]></repository>
        <tags><![CDATA[relation]]></tags>
        <downloads>6973</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="exportDBmapper" version="0.2.0" plugin_id="2369">
        <description><![CDATA[ExportDBmapper tools to manage export PG and GPKG and vice versa.]]></description>
        <about><![CDATA[This plugin has been funded by QWAT]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/exportdbmapper/]]></homepage>
        <file_name>exportDBmapper.0.2.0.zip</file_name>
        <icon>/media/packages/2021/icon_HSe1CXc.png</icon>
        <author_name><![CDATA[Sébastien Peillet (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/exportDBmapper/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2021-03-29T09:11:21.494121+00:00</create_date>
        <update_date>2021-03-31T07:48:45.186627+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/exportdbmapper/-/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/exportdbmapper/]]></repository>
        <tags><![CDATA[database,postgresql,mapping,gpkg]]></tags>
        <downloads>4546</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FireHunter" version="1" plugin_id="2370">
        <description><![CDATA[This plugin creates a Sentinel-2 mosaic on an area given by a rectangle.]]></description>
        <about><![CDATA[This plugin creates a Sentinel-2 mosaic on an area given by a rectangle. The date interval for creating a mosaic is set by the number of days and the upper limit, which can be set manually or determined by the dates of hot spots that fall into the selected area.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/olegruk/firehunter]]></homepage>
        <file_name>firehunter.1.zip</file_name>
        <icon>/media/packages/2022/firehunter.png</icon>
        <author_name><![CDATA[R.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/firehunter/version/1/download/</download_url>
        <uploaded_by><![CDATA[olegruk]]></uploaded_by>
        <create_date>2021-04-01T11:07:52.047969+00:00</create_date>
        <update_date>2022-04-15T09:53:14.195618+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/olegruk/firehunter/issues]]></tracker>
        <repository><![CDATA[https://github.com/olegruk/firehunter]]></repository>
        <tags><![CDATA[mosaic,sentinel-2,google earth engine]]></tags>
        <downloads>7771</downloads>
        <average_vote>3.99800099950025</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IGC Importer" version="1.3" plugin_id="2371">
        <description><![CDATA[This plugin imports an IGC file and creates short line segments between the track points]]></description>
        <about><![CDATA[This plugin imports an IGC file and creates short line segments between the track points.
This plugin bases on the gpx-segment-importer from Simon Groe (https://github.com/SGroe/gpx-segment-importer)
Features include:
* Available as QGIS dialog in toolbar and also as QGIS algorithm for usage in processing
* [dialog, algorithm] Read all attributes available from each track point at the segment start and/or end. This includes the timestamp and the elevation as well as any other attributes added to a track point.
* [dialog] Select one or multiple IGC files with the same data structure at once.
* [dialog] To gain full control over the data, you can edit the attribute table before creating the segment layer. You can exclude attributes, modify the attribute label and change the data type (integer, double, boolean or string) if the automatic type detection failed, e.g. at numeric data that contains “Null” or “None” values. Also, the plugin detects empty attributes and excludes it by default.
* [dialog, algorithm] Optionally calculate motion attributes (track points indices, distance, speed, duration and elevation_diff) between track points.
* [algorithm] Second algorithm &#x27;Track segment creator&#x27; to apply line segment creator to any point vector dataset that has a timestamp attribute.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Murmele/qgis-igc-importer]]></homepage>
        <file_name>qgis-igc-importer.1.3.zip</file_name>
        <icon>/media/packages/2025/icon_60mcovM.svg</icon>
        <author_name><![CDATA[Martin Marmsoler]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-igc-importer/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[murmele]]></uploaded_by>
        <create_date>2021-04-02T08:56:06.233956+00:00</create_date>
        <update_date>2025-02-24T07:52:14.199550+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Murmele/qgis-igc-importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/Murmele/qgis-igc-importer]]></repository>
        <tags><![CDATA[gps,importer,segment,igc]]></tags>
        <downloads>4422</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geo Simplification (processing)" version="1.2.0" plugin_id="2373">
        <description><![CDATA[This plugin contains different tools for line/polygon simplification and generalization]]></description>
        <about><![CDATA[This plugin contains the following tool for line/polygon simplification and generalization: &lt;p&gt;- Chordal Axis&lt;/p&gt; &lt;p&gt;- Reduce Bend&lt;/p&gt; &lt;p&gt;- Simplify (D Peuker+)&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NRCan/geo_sim_processing]]></homepage>
        <file_name>geo_sim_processing.1.2.0.zip</file_name>
        <icon>/media/packages/2021/logo_GHeC0LA.png</icon>
        <author_name><![CDATA[Natural Resources Canada]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo_sim_processing/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[nrcangeobase]]></uploaded_by>
        <create_date>2021-04-06T01:07:13.936849+00:00</create_date>
        <update_date>2021-05-11T03:48:58.576046+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NRCan/geo_sim_processing/issues]]></tracker>
        <repository><![CDATA[https://github.com/NRCan/geo_sim_processing]]></repository>
        <tags><![CDATA[vector,generalization,topology,topography,simplification,constraint]]></tags>
        <downloads>19635</downloads>
        <average_vote>4.733017798813413</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dataforsyningen" version="0.8" plugin_id="2374">
        <description><![CDATA[Let adgang til data fra Dataforsyningen (Klimadatastyrelsen) i QGIS.
Easy access to webservices from Dataforsyningen (Agency for Climate Data) in QGIS.]]></description>
        <about><![CDATA[See english version below.

Dette plugin erstatter det tidligere plugin &quot;Kortforsyningen&quot;.

Dette plugin gør det let at indlæse en række af Dataforsyningens data i QGIS. Når pluginet er installeret vises menuen Dataforsyningen, hvorfra du kan tilføje en række af Dataforsyningens datasæt (fx baggrundskort, kommunegrænser, højdedata, stednavne, GeoDanmark-data og matrikeldata) udstillet via webservices (WMS, WMTS, WFS og WCS). Du kan også indlæse data via søgefeltet i QGIS (ofte placeret i nederste venstre hjørne af QGIS).

Har du tilføjet et lag, hvor lagnavnet i lagpanelet vises med grå kursiv skrift, skal du zoome tættere på, førend data vises. Datasæt udstillet som WMS/WMTS er billeder, der allerede har fået en symbolisering. Du kan kun ændre enkelte ting i visualiseringen såsom kontrast, gennemsigtighed mv. Data udstillet som WFS/WCS indeholder hhv. vektorobjekter og georefereret rasterdata, hvor du kan ændre stilarten.

Det er muligt at tilføje egne lag og webservices til Dataforsyning-menuen. Læs mere om denne mulighed i &lt;a href=&quot;https://qgisplugin.dataforsyningen.dk/qgis_plugin_dataforsyningen_vejledning.html&quot; target=&quot;_blank&quot;&gt;plugin-vejledningen&lt;/a&gt; (linket åbnes i din browser).

Dette plugin kræver, at du har bruger på Dataforsyningen samt et token - begge dele er gratis. &lt;a href=&quot;https://dataforsyningen.dk/#da&quot;&gt;Læs mere om oprettelse af Dataforsyningsbruger og token&lt;/a&gt;. Dit token skal du indtaste i Dataforsyningspanelet i indstillingsdialogen (som du finder under menuen Indstillinger/Settings --&gt; Indstillinger/Options). Læs også &lt;a href=&quot;https://qgisplugin.dataforsyningen.dk/qgis_plugin_dataforsyningen_vejledning.html&quot; target=&quot;_blank&quot;&gt;plugin-vejledningen&lt;/a&gt;, hvor der findes mere information om hvordan du kommer igang med at bruge pluginet.

In English:
This plugin replaces the soon to be deprecated &quot;Kortforsyningen&quot; plugin.

This plugin makes it easy to add data from the Danish Map Supply (In Danish &#x27;Dataforsyningen&#x27;). When installed, the plugin appears as a menu. From this &#x27;Dataforsyningen&#x27; menu you can add a number of datasets as webservices (WMS, WMTS, WFS, WCS) from the Danish Map Supply. This includes background maps, municipalities, elevation data, place names etc. You can also add the datasets from the search bar (normally found in the lower left part of QGIS).

If a layer is shown with grey italic font, you need to zoom in, to see the data. Data served as WMS/WMTS are served as map images. These data are already symbolized. You can only adjust the brightness, contrast, opacity and blending mode. Data served via WFS/WCS contain vector features and the georeferenced raster data respectively, and can be symbolized.

It is possible to add your own layers and webservices to the Dataforsyning-menu. Read more about this possibility in the &lt;a href=&quot;https://qgisplugin.dataforsyningen.dk/qgis_plugin_dataforsyningen_vejledning.html&quot; target=&quot;_blank&quot;&gt;plugin-guide&lt;/a&gt; (link opens in your browser).

In order to use the plugin, both an account at Dataforsyningen and a token are required. These are free of charge. Read more about creating a token &lt;a href=&quot;https://dataforsyningen.dk/#en&quot;&gt;here&lt;/a&gt;. You need to enter your token in the panel Dataforsyningen in QGIS&#x27; option-dialog (found in the menu &#x27;Settings&#x27; --&gt; &#x27;Options&#x27;).

For more information on how to use and set-up the plugin, read the &lt;a href=&quot;https://qgisplugin.dataforsyningen.dk/qgis_plugin_dataforsyningen_vejledning.html&quot; target=&quot;_blank&quot;&gt;plugin-guide&lt;/a&gt;.

This plugin is developed by &lt;a href=&quot;https://dataforsyningen.dk/&quot; target=&quot;_blank&quot;&gt;Dataforsyningen, Klimadatastyrelsen&lt;/a&gt; and &lt;a href=&quot;https://septima.dk/&quot; targer=&quot;_blank&quot;&gt;Septima&lt;/a&gt;.

Contact information: support@kds.dk

&lt;img width=&quot;300&quot; src=&quot;https://www.klimadatastyrelsen.dk/Media/638615471416374845/logo-ny.svg&quot; alt=&quot;&quot;&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SDFIdk/Qgis-dataforsyningen]]></homepage>
        <file_name>Dataforsyningen.0.8.zip</file_name>
        <icon>/media/packages/2026/icon_YT5HGVs.png</icon>
        <author_name><![CDATA[Danish Agency for Climate Data]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Dataforsyningen/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[kortforsyningen]]></uploaded_by>
        <create_date>2021-04-06T08:40:44.866929+00:00</create_date>
        <update_date>2026-04-07T11:31:13.894846+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SDFIdk/Qgis-dataforsyningen/issues]]></tracker>
        <repository><![CDATA[https://github.com/SDFIdk/Qgis-dataforsyningen]]></repository>
        <tags><![CDATA[wfs,wms,inspire,wcs,kortforsyningen,dansk,danmark,open data,danish,denmark,vector tiles,dataforsyningen,kds,klimadatastyrelsen]]></tags>
        <downloads>78633</downloads>
        <average_vote>4.3528131525543365</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TerraBrasilis Data Source" version="1.0.0" plugin_id="2375">
        <description><![CDATA[The QGIS plugin provides access to the WMS services of the Spatial Data Infrastructure TerraBrasilis.]]></description>
        <about><![CDATA[Thanks to Adeline Maciel (original author), André Carvalho (contributor and actual maintainer). The QGIS plugin provides access to the WMS services of the Spatial Data Infrastructure TerraBrasilis. From the TerraBrasilis Data Source, select the project name and desired layer, and it will be possible to access the layer metadata and added the layer to the canvas. The layers are provided via WMS which requires an active internet connection.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/terrabrasilis/terrabrasilis_datasource]]></homepage>
        <file_name>terrabrasilis_datasource.1.0.0.zip</file_name>
        <icon>/media/packages/2024/terrabrasilis_yehN6S5.png</icon>
        <author_name><![CDATA[André Carvalho, INPE - Brazil&#x27;s National Institute for Space Research (contributor and actual maintainer)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/terrabrasilis_datasource/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[andrecarvalho]]></uploaded_by>
        <create_date>2021-04-06T12:07:58.351691+00:00</create_date>
        <update_date>2024-05-14T18:24:36.904625+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/terrabrasilis/terrabrasilis_datasource/issues]]></tracker>
        <repository><![CDATA[https://github.com/terrabrasilis/terrabrasilis_datasource]]></repository>
        <tags><![CDATA[wms,brazil,deforestation,inpe,terrabrasilis,prodes]]></tags>
        <downloads>15289</downloads>
        <average_vote>4.60592103269598</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SPI Utility for Raster" version="1.0" plugin_id="2379">
        <description><![CDATA[Generates SPI values from Daily Precipiation Rasters]]></description>
        <about><![CDATA[Generates Standardized Precipitation Index (SPI) rasters from daily precipitaion rasters for specified time scale and accumulation period. Additionally, it generates drought class probability for user defined drought classification scheme.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://manaruchi.github.io/spiutility.html]]></homepage>
        <file_name>spiutilityraster.1.0.zip</file_name>
        <icon>/media/packages/2021/icon_5XOffGP.png</icon>
        <author_name><![CDATA[Manaruchi Mohapatra, Dr. Bhaskar R Nikam, Gunjan Kour]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spiutilityraster/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[manaruchi]]></uploaded_by>
        <create_date>2021-04-19T09:40:32.389935+00:00</create_date>
        <update_date>2021-04-19T09:40:32.572993+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/manaruchi/SPIUtilityRaster/issues]]></tracker>
        <repository><![CDATA[https://github.com/manaruchi/SPIUtilityRaster]]></repository>
        <tags><![CDATA[raster,drought,spi,precipitaion]]></tags>
        <downloads>2634</downloads>
        <average_vote>1.8330278286952173</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SPI Utility for Point Data" version="0.1" plugin_id="2380">
        <description><![CDATA[Calculates SPI Values from daily point precipitation data in CSV format.]]></description>
        <about><![CDATA[The Standardized Precipitation Index (SPI), a drought index widely used for drought monitoring, is estimated based on the probability of deficit in precipitation at any time scale. It is a simple and flexible drought index as it requires only precipitation as input data and it can quantify the degree of dryness/wetness on multiple time scales to address different types of droughts. Availability of free remotely sensed precipitation data and long term reanalysis meteorological data makes the usage of SPI more convenient at various spatial and temporal scales. At the same time, processing such high-volume data requires a high magnitude of processing power and time. This paper introduces SPI Utility, an open-source, light-weight and fast graphical user interface to estimate SPI values at different spatial and temporal scales. It is developed in Python using Geospatial Data Abstraction Library (GDAL), Numpy, Scipy and PyQt4 libraries as a plugin into Quantum Geographic Information System (QGIS). It can generate SPI values for 1-, 3-, 4-, 6-, 9-, 12-, 24- and 36- month timescales for any specified month range. The developed SPI Utility also classifies the generated SPI values into user-defined drought classes to generate the count and probability of occurrence of the drought classes. It can handle long duration precipitation data in form of both raster files and point data files. The tool can be used for drought monitoring in low performance systems and early drought warning systems.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://manaruchi.github.io/spiutility.html]]></homepage>
        <file_name>spiutilityforcsv.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_hwGXE5Z.png</icon>
        <author_name><![CDATA[Manaruchi Mohapatra, Dr. Bhaskar R Nikam, Gunjan Kour]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spiutilityforcsv/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[manaruchi]]></uploaded_by>
        <create_date>2021-04-19T10:14:51.645232+00:00</create_date>
        <update_date>2021-04-19T10:14:52.183094+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/manaruchi/SPIUtilityPoint/issues]]></tracker>
        <repository><![CDATA[https://github.com/manaruchi/SPIUtilityPoint]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1880</downloads>
        <average_vote>2.332555814728424</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Date/Time Tools" version="3.1.2" plugin_id="2383">
        <description><![CDATA[Tools to display and convert date, time, time zone, UNIX time (Epoch), Julian date, ISO8601, date differences, times and positions of the sun. (Note Python library dependencies.)]]></description>
        <about><![CDATA[This plugin requires 3 Python libraries not provided by the QGIS distribution. Open up the OSGeo4W Shell and type &quot;pip install timezonefinder astral&quot; and &quot;pip install reverse_geocoder&quot; or whatever method you use to install Python libraries. You don&#x27;t need to be a system administrator to do this.

This plugin contains four tools. 1)Conversion tools to display the local date, time, time zone, UNIX time (Epoch), Julian dates, ISO8601, calculate the difference between two dates, select a location and time zone by clicking on the map and display the closet location and sun statistics. 2) Time zone visualization and/or offset capture tool. 3) A processing tool that adds a time zone field and/or offset to a point layer. 4) A processing tool to add the sun times of dawn, sunrise, noon, sunset, and dusk to a point layer attribute table.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-datetimetools-plugin]]></homepage>
        <file_name>datetimetools.3.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_TuEYOAn.png</icon>
        <author_name><![CDATA[Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/datetimetools/version/3.1.2/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2021-04-19T19:00:19.816515+00:00</create_date>
        <update_date>2026-03-14T16:13:44.843933+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-datetimetools-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-datetimetools-plugin]]></repository>
        <tags><![CDATA[time,conversion,sunset,sunrise,geocoder,date,noon,weekday,sun,time zone,dawn,dusk]]></tags>
        <downloads>12438</downloads>
        <average_vote>4.4541405326788475</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="POLO" version="0.9" plugin_id="2384">
        <description><![CDATA[Automatically generates reports and maps of fire hotspots using NASA FIRMS and INPE data for the Amazon region]]></description>
        <about><![CDATA[The POLO plugin, inspired by the messenger of the god Tupã, facilitates access to information on heat spots in the state of Amazonas. Integrated with QGIS, it automatically generates reports and maps using data from NASA&#x27;s FIRMS and INPE. The plugin quantifies and locates heat spots in real-time and the past seven days, identifying priority areas by municipality and mesoregion. Designed for ease of use, it allows offline navigation with GeoPDFs on the Avenza Maps app for example.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sites.google.com/view/newtongeo/polo]]></homepage>
        <file_name>polo.0.9.zip</file_name>
        <icon>/media/packages/2026/icon_EqUXuUL.png</icon>
        <author_name><![CDATA[Newton Coelho Monteiro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/polo/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[newton787]]></uploaded_by>
        <create_date>2021-04-22T13:35:17.244494+00:00</create_date>
        <update_date>2026-02-11T17:19:24.463918+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Newton787/POLO-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Newton787/POLO-plugin]]></repository>
        <tags><![CDATA[report,geoprocessing,mapping,qgis,nasa,environment,fire,kernel density,monitoring,inpe,firms,hotspots,amazon,priority areas]]></tags>
        <downloads>1441</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vertex Compare" version="0.0.1" plugin_id="2386">
        <description><![CDATA[Assists with vertex comparison and topological repairs]]></description>
        <about><![CDATA[Assists with vertex comparison and topological repairs]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.19.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://north-road.github.io/vertex_compare]]></homepage>
        <file_name>vertex_compare.0.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_G3X7bG1.png</icon>
        <author_name><![CDATA[North Road]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vertex_compare/version/0.0.1/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2021-04-27T00:28:44.757418+00:00</create_date>
        <update_date>2021-04-27T00:28:44.923344+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/north-road/vertex_compare/issues]]></tracker>
        <repository><![CDATA[https://github.com/north-road/vertex_compare]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7767</downloads>
        <average_vote>4.832527912014664</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vector Correction" version="0.0.2" plugin_id="2387">
        <description><![CDATA[Correct vector datasets via GCP]]></description>
        <about><![CDATA[Correct vector datasets via GCP]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.19.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://north-road.github.io/vector_correction/]]></homepage>
        <file_name>vector_correction.0.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_BRiioIT.png</icon>
        <author_name><![CDATA[North Road]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vector_correction/version/0.0.2/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2021-04-27T00:29:32.863681+00:00</create_date>
        <update_date>2021-11-23T04:28:33.440854+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/north-road/vector_correction/issues]]></tracker>
        <repository><![CDATA[https://github.com/north-road/vector_correction]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7924</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Select Themes" version="3.0.1" plugin_id="2396">
        <description><![CDATA[Select one Theme out of the Toolbar]]></description>
        <about><![CDATA[Select some Themes out of the Toolbar with a Dropdownlist

If this plugin is useful for you, please consider to make a donation of any value to the Maintainer&lt;/p&gt;
&lt;a href=&quot;https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&amp;hosted_button_id=L6CGBSXGQNCLS&amp;source=url&quot; target=&quot;_blank&quot;&gt;
&lt;img border=&quot;0&quot; alt=&quot;Donate&quot; src=&quot;https://www.paypalobjects.com/de_DE/DE/i/btn/btn_donateCC_LG.gif&quot;&gt;
&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Amphibitus/selectThemes/wiki]]></homepage>
        <file_name>selectThemes.3.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_OTT3xzW.png</icon>
        <author_name><![CDATA[g3er geoplaning GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/selectThemes/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[amphibitus]]></uploaded_by>
        <create_date>2021-05-03T17:58:26.403855+00:00</create_date>
        <update_date>2021-05-03T17:58:26.698526+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Amphibitus/selectThemes/issues]]></tracker>
        <repository><![CDATA[https://github.com/Amphibitus/selectThemes]]></repository>
        <tags><![CDATA[layer,select,settings,themes]]></tags>
        <downloads>4416</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Conversor Nomes Comuns" version="0.1" plugin_id="2401">
        <description><![CDATA[This plugin converts common names of tree species to their respective scientific names.]]></description>
        <about><![CDATA[The user chooses a common name from a drop-down list, and the plugin creates two new fields (if they do not already exist), one for the common names and the other for the respective scientific names, and fills in these fields for all features, or only for the selected features. Common and scientific names were taken from listings published by the Portuguese Institute for the Conservation of Nature and Forests. O utilizador escolhe o nome comum numa lista drop-down, e o plugin cria dois novos campos (caso ainda não existam), um para os nomes comuns e o outro para os respectivos nomes científicos, e preenche estes campos para todos os elementos, ou só para os elementos seleccionados. Dados publicados pelo ICNF. Para correr o plugin: Processing -&gt; Toolbox -&gt; Conversores -&gt; Conversor de Nomes Comuns. Consulte o Manual em: https://github.com/Almeida100/Conversor-Nomes-Comuns]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Almeida100/Conversor-Nomes-Comuns]]></homepage>
        <file_name>conversor_nomes_comuns.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Antonio Sobral Almeida]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/conversor_nomes_comuns/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[al150]]></uploaded_by>
        <create_date>2021-05-08T21:49:04.500585+00:00</create_date>
        <update_date>2021-05-08T21:49:04.962243+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Almeida100/Conversor-Nomes-Comuns/issues]]></tracker>
        <repository><![CDATA[https://github.com/Almeida100/Conversor-Nomes-Comuns]]></repository>
        <tags><![CDATA[feature,ecology,attribute,landscape]]></tags>
        <downloads>2147</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qgissprp" version="0.5.0" plugin_id="2403">
        <description><![CDATA[A simple photogrammetry route planner.]]></description>
        <about><![CDATA[A simple photogrammetry route planner: for normal or UAV photogrammetric routing line design automaticly base on a polygon or a line.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/luoxiangyong/qgissprp.git]]></homepage>
        <file_name>qgissprp.0.5.0.zip</file_name>
        <icon>/media/packages/2021/icon_hF1lkMi.png</icon>
        <author_name><![CDATA[Xiangyong Luo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgissprp/version/0.5.0/download/</download_url>
        <uploaded_by><![CDATA[luoxiangyong]]></uploaded_by>
        <create_date>2021-05-10T12:31:19.739888+00:00</create_date>
        <update_date>2021-05-17T09:19:50.264435+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/luoxiangong/qgissprp.git]]></tracker>
        <repository><![CDATA[https://github.com/luoxianguong/qgissprp.git]]></repository>
        <tags><![CDATA[python,uav,photogrammetry]]></tags>
        <downloads>6181</downloads>
        <average_vote>3.3993201359728054</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ORKa.MV Data API" version="0.6" plugin_id="2404">
        <description><![CDATA[This plugin loads geopackage files from the ORKa.MV Data API |  Dieses Plugin lädt geopackages von der ORKa.MV Data API]]></description>
        <about><![CDATA[Dieses Plugin lädt geopackages von der ORKa.MV Data API.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/terrestris/orkamv-data-api-plugin]]></homepage>
        <file_name>orkamv-data-api-plugin-main.0.6.zip</file_name>
        <icon>/media/packages/2021/icon_Y2mI268.png</icon>
        <author_name><![CDATA[terrestris GmbH &amp; Co. KG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/orkamv-data-api-plugin-main/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[jansule]]></uploaded_by>
        <create_date>2021-05-12T11:48:23.771833+00:00</create_date>
        <update_date>2022-02-11T15:08:59.203027+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/terrestris/orkamv-data-api-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/terrestris/orkamv-data-api-plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2037</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sentera 6X Post Processing" version="1.5.2" plugin_id="2405">
        <description><![CDATA[This plugin processes mosaics created using Sentera 6X imagery.  Outputs include a 5-band moasic, RGB mosaic, or index layers.]]></description>
        <about><![CDATA[This plugin processes mosaics created using Sentera 6X imagery. Outputs include a 5-band moasic and index layers. Available Indices: NDVI, NDRE, GNDVI, NDWI, CIRE, CIG, Tacari Osavi, GLI.  See Index_Info.txt for more information.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SenteraLLC/Sentera-6X-QGIS-Plugin/]]></homepage>
        <file_name>sentera_6x_processing.1.5.2.zip</file_name>
        <icon>/media/packages/2022/icon_Lt9kLdy.png</icon>
        <author_name><![CDATA[Sentera]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sentera_6x_processing/version/1.5.2/download/</download_url>
        <uploaded_by><![CDATA[senteragis]]></uploaded_by>
        <create_date>2021-05-13T16:14:40.190015+00:00</create_date>
        <update_date>2022-03-10T16:37:59.724526+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SenteraLLC/Sentera-6X-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/SenteraLLC/Sentera-6X-QGIS-Plugin]]></repository>
        <tags><![CDATA[python,multispectral,6x,sentera]]></tags>
        <downloads>4637</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RasterAttributeTable" version="1.2" plugin_id="2406">
        <description><![CDATA[Display and manage Raster Attribute Tables.]]></description>
        <about><![CDATA[Display and manage Raster Attribute Tables.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/noaa-ocs-hydrography/qgis-raster-attribute-table-plugin]]></homepage>
        <file_name>RasterAttributeTable.1.2.zip</file_name>
        <icon>/media/packages/2022/rat_icon.svg</icon>
        <author_name><![CDATA[Alessandro Pasotti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RasterAttributeTable/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[hstb]]></uploaded_by>
        <create_date>2021-05-13T17:04:27.438382+00:00</create_date>
        <update_date>2022-09-28T14:54:11.273813+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/noaa-ocs-hydrography/qgis-raster-attribute-table-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/noaa-ocs-hydrography/qgis-raster-attribute-table-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>29794</downloads>
        <average_vote>4.48131550683308</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vallaris Desktop" version="1.0.6" plugin_id="2407">
        <description><![CDATA[The plugin desinged for communication between Vallaris Server]]></description>
        <about><![CDATA[Vallaris Desktop was build on core Vallaris Maps APIs. The features on Vallaris Management and Process are able to do on QGIS. Key advantage when use Vallaris Desktop is resources management. Basic functions such as Create, Import, Edit and Delete with Vallaris dataset either online or offline connection are most powerful when on desktop. Moreover, QGIS provides rich data management and data processing tools which web application can not do. Vallaris Desktop is key part of ecosystem, make Vallaris more complete.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/vallaris/Vallaris_desktop/-/tree/master]]></homepage>
        <file_name>vallaris.1.0.6.zip</file_name>
        <icon>/media/packages/2023/logo.svg</icon>
        <author_name><![CDATA[Vallaris]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vallaris/version/1.0.6/download/</download_url>
        <uploaded_by><![CDATA[ibitz]]></uploaded_by>
        <create_date>2021-05-19T03:14:08.690597+00:00</create_date>
        <update_date>2023-07-21T09:29:18.606074+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/vallaris/Vallaris_desktop/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/vallaris/Vallaris_desktop/-/tree/master]]></repository>
        <tags><![CDATA[vector,python,cloud,style,server,wms,tiles,tms,styles,gis,api,vector tile,wmts,mapbox,openmaptiles,tilejson,vallaris maps,vallaris,ogc api,vallaris desktop,desktop]]></tags>
        <downloads>6735</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TAFtoCSV" version="1.6" plugin_id="2408">
        <description><![CDATA[Converte file TAF in CSV]]></description>
        <about><![CDATA[Converte una Tabella attuale dei punti fiduciali (Taf) dell&#x27; Agenzia delle Entrate Italiana in un file csv standard (codifica UTF8 e separatore &#x27;,&#x27;) aggiungendo le opportune intestazioni con la possibilità della scelta dei campi da esportare

Converts a current table of fiducial points (Taf) of the Italian Revenue Agency into a standard csv file (encoding UTF8 and separator &#x27;,&#x27;) by adding the appropriate headings with the possibility of choosing the fields to export]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Korto19/TAF-to-CSV#taf-to-csv]]></homepage>
        <file_name>TAF-to-CSV-main.1.6.zip</file_name>
        <icon>/media/packages/2026/ae_rvL9tyr.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TAF-to-CSV-main/version/1.6/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2021-05-22T16:31:43.816659+00:00</create_date>
        <update_date>2026-03-30T13:50:39.926634+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Korto19/TAF-to-CSV/issues]]></tracker>
        <repository><![CDATA[https://github.com/Korto19/TAF-to-CSV]]></repository>
        <tags><![CDATA[python,table,catasto,csv,taf,agenzia entrate]]></tags>
        <downloads>3369</downloads>
        <average_vote>4.374453193350831</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GIO gml import plugin" version="0.9.2" plugin_id="2409">
        <description><![CDATA[Imports Omgevingswet GIO xml and/ or gml files in QGIS]]></description>
        <about><![CDATA[This plugin imports Omgevingswet GIO xml and /or gml files into QGIS. If style information is available in the GIO this style will be applied as well. Otherwise the default LVBB style will be used.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MarcoDuiker/QGIS_GIO_Import]]></homepage>
        <file_name>gio_import.0.9.2.zip</file_name>
        <icon>/media/packages/2026/icon_3D2gIRI.png</icon>
        <author_name><![CDATA[Marco Duiker - LandGoed]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gio_import/version/0.9.2/download/</download_url>
        <uploaded_by><![CDATA[marcoduiker]]></uploaded_by>
        <create_date>2021-05-24T06:22:02.330038+00:00</create_date>
        <update_date>2026-02-17T14:52:35.646466+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MarcoDuiker/QGIS_GIO_Import]]></tracker>
        <repository><![CDATA[https://github.com/MarcoDuiker/QGIS_GIO_Import]]></repository>
        <tags><![CDATA[import,gml,xml,omgevingswet,gio]]></tags>
        <downloads>10045</downloads>
        <average_vote>3.999428653049564</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FlexiGIS" version="0.2" plugin_id="2410">
        <description><![CDATA[For modelling energy systems and flexibility options in urban areas.]]></description>
        <about><![CDATA[It extracts, filters and categorises the geo-referenced urban energy infrastructure, and simulates the local electricity consumption.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FlexiGIS/FlexiGIS-plugin]]></homepage>
        <file_name>flexigis.0.2.zip</file_name>
        <icon>/media/packages/2022/flexigis.png</icon>
        <author_name><![CDATA[Alaa Alhamwi, Chinonso Unaichi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flexigis/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[flexigis]]></uploaded_by>
        <create_date>2021-05-25T14:10:06.340105+00:00</create_date>
        <update_date>2022-09-28T14:54:59.174176+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FlexiGIS/FlexiGIS-plugin]]></tracker>
        <repository><![CDATA[https://github.com/FlexiGIS/FlexiGIS-plugin]]></repository>
        <tags><![CDATA[python,openstreetmap]]></tags>
        <downloads>4572</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Coordinates Converter" version="1.0" plugin_id="2412">
        <description><![CDATA[Coordinates converter plugin developed for the purpose of converting coordinates from/to DMS, decimal degree and utm.]]></description>
        <about><![CDATA[Coordinates converter plugin developed for the purpose of converting coordinates from/to DMS, decimal degree and utm.

There are six methods in this plugin:
1- From Decimal Degree to UTM.
2- From Decimal Degree to DMS.
3- From UTM to Decimal Degree.
4- From UTM to DMS.
5- From DMS to Decimal Degree.
6- From DMS to UTM.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/a-abdelkarim/coordinates-converter]]></homepage>
        <file_name>coordinates_converter.1.0.zip</file_name>
        <icon>/media/packages/2021/icon_tmGjPcL.png</icon>
        <author_name><![CDATA[Ahmed Abdelkarim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coordinates_converter/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[devahmed]]></uploaded_by>
        <create_date>2021-05-27T07:33:12.814153+00:00</create_date>
        <update_date>2021-05-27T07:33:13.139732+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/a-abdelkarim/coordinates-converter/issues]]></tracker>
        <repository><![CDATA[https://github.com/a-abdelkarim/coordinates-converter]]></repository>
        <tags><![CDATA[python,coords,coordinates,UTM,epsg,latitude,longitude,dms,coordinate system,decimal]]></tags>
        <downloads>70814</downloads>
        <average_vote>4.25282468017609</average_vote>
        <rating_votes>87</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PgMetadata" version="1.3.1" plugin_id="2413">
        <description><![CDATA[Store some metadata about layers which are stored in PostgreSQL. It&#x27;s possible to define title, abstract, links, contacts etc. It also provides some search tool, in the QGIS Locator bar for instance.]]></description>
        <about><![CDATA[Store some metadata about layers which are stored in PostgreSQL. It&#x27;s possible to define title, abstract, links, contacts etc. It also provides some search tool, in the QGIS Locator bar for instance.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.3liz.org/qgis-pgmetadata-plugin/]]></homepage>
        <file_name>pg_metadata.1.3.1.zip</file_name>
        <icon>/media/packages/2024/icon_Tfivuoj.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pg_metadata/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2021-05-27T07:50:16.478738+00:00</create_date>
        <update_date>2024-09-02T12:56:40.396478+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/qgis-pgmetadata-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/qgis-pgmetadata-plugin]]></repository>
        <tags><![CDATA[metadata,csv,postgresql,xml,qgis,dcat,metadonnees]]></tags>
        <downloads>14253</downloads>
        <average_vote>4.687207049559402</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Custom Projection Creator" version="1.0" plugin_id="2414">
        <description><![CDATA[This plugin helps users to add a CRS(Coordinate Reference System) to Custom Projection list.]]></description>
        <about><![CDATA[This plugin helps users to add a CRS(Coordinate Reference System) to Custom Projection list.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_create_custom_projection_plugin]]></homepage>
        <file_name>create_custom_projection.1.0.zip</file_name>
        <icon>/media/packages/2021/icon_od2GcEc.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/create_custom_projection/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2021-05-27T10:01:49.325388+00:00</create_date>
        <update_date>2021-05-27T10:01:49.725120+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_create_custom_projection_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_create_custom_projection_plugin]]></repository>
        <tags><![CDATA[python,crs,projection,custom,srs,user defined]]></tags>
        <downloads>7371</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mercicor" version="1.0.4" plugin_id="2415">
        <description><![CDATA[Methodology for Scaling Mitigation and Compensatory Measures in Tropical Marine Ecosystems. The plugin is available in French only for now.; Méthode biophysiques d’évaluation des effets de l’aménagement sur l’environnement marin tropical. L&#x27;extension est disponible en Français seulement.]]></description>
        <about><![CDATA[Methodology for Scaling Mitigation and Compensatory Measures in Tropical Marine Ecosystems; Méthode biophysiques d’évaluation des effets de l’aménagement sur l’environnement marin tropical]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.3liz.org/qgis-mercicor-plugin/]]></homepage>
        <file_name>mercicor.1.0.4.zip</file_name>
        <icon>/media/packages/2022/icon_1v67etJ.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mercicor/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2021-05-28T07:08:52.645938+00:00</create_date>
        <update_date>2022-04-27T09:28:29.085172+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/qgis-mercicor-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/qgis-mercicor-plugin]]></repository>
        <tags><![CDATA[mercicor]]></tags>
        <downloads>2169</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Simple tools" version="1.4.0" plugin_id="2418">
        <description><![CDATA[A collection of simple tools for QGIS.]]></description>
        <about><![CDATA[A collection of simple tools for QGIS. The list of available tools should grow over time.

## In Attributes toolbar: Open Attributes Table FILTERED on SELECTED features
 Shows the list of selected features at a given moment T in an attribute table with a filter on their ids. This allows you to change the selection later WITHOUT LOSING the list of T.

## In Processing toolbox &gt; Styling helper
#  Categorized style from CSV: use a CSV file to define the style (categories,labels,colors) of a vector layer.
    CSV content: values (of the field) ; labels ; colors
    Example :
       WH;wheat;#eee22c
       CO;corn;#47a266
    Choose the target layer, choose it&#x27;s field to be used for the categories

## In attributes tables : 3 buttons to adjust rows height and columns width.

## In Plugins menu &gt; Simple tools
--  Inspect BIG csv (or text) files by quickly showing their first rows
--  Convert JSON to CSV: flatten a json tree
--  If the 1st level of the JSON is a list, each element will become 1 row in the CSV
    The content of each element (et sub-elements) will be transformed into columns in the CSV]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PhilippeD31/SimpleTools4QGIS]]></homepage>
        <file_name>simple_tools.1.4.0.zip</file_name>
        <icon>/media/packages/2025/tools.png</icon>
        <author_name><![CDATA[Philippe Desboeufs]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/simple_tools/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[philipped31]]></uploaded_by>
        <create_date>2021-05-28T15:25:25.793476+00:00</create_date>
        <update_date>2025-10-17T14:03:03.926523+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PhilippeD31/SimpleTools4QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/PhilippeD31/SimpleTools4QGIS]]></repository>
        <tags><![CDATA[vector,style,csv,json,big files]]></tags>
        <downloads>10509</downloads>
        <average_vote>3.4982508745627188</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Swiss Geo Downloader" version="2.2.0" plugin_id="2419">
        <description><![CDATA[Download swiss geodata comfortably inside QGIS]]></description>
        <about><![CDATA[(EN) This plugin allows you to download Swiss geodata in an easy and convenient way. Search for datasets, filter files by extent, timestamp or file type and add the geodata directly to QGIS.

(DE) Lade Schweizer Geodaten der Swisstopo und weiterer Bundesämter direkt in QGIS herunter. Suche nach Datensätzen, filtere Dateien nach Karten-Ausschnitt, Zeitstand oder Dateityp und füge die Geodaten direkt zur Karte hinzu.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://pimoll.github.io/swissgeodownloader/]]></homepage>
        <file_name>swissgeodownloader.2.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_4KMbfRX.png</icon>
        <author_name><![CDATA[Patricia Moll]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/swissgeodownloader/version/2.2.0/download/</download_url>
        <uploaded_by><![CDATA[pimoll]]></uploaded_by>
        <create_date>2021-05-28T21:07:17.242215+00:00</create_date>
        <update_date>2026-02-26T07:17:28.257741+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/piMoll/swissgeodownloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/piMoll/swissgeodownloader]]></repository>
        <tags><![CDATA[web,download,swiss,geoadmin,suisse,schweiz,geodata,switzerland,swisstopo,geoprtal]]></tags>
        <downloads>21924</downloads>
        <average_vote>4.499913463202631</average_vote>
        <rating_votes>52</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Andalusian Population" version="3.1" plugin_id="2422">
        <description><![CDATA[This plugin allows easier access to information about the population of Andalusia (region of Spain)]]></description>
        <about><![CDATA[[EN] This plugin has been developed to allow more accessibility to the information available about the socioeconomic structure of Andalusia. For both public organisms and private companies. [ES] Este plugin ha sido desarrollado para permitir que la información disponible acerca de la estructura socioeconómica de Andalucía, sea accesible de una forma más sencilla, tanto para organismos públicos como empresas o personas privadas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/devmemi]]></homepage>
        <file_name>andalusianpopulation.3.1.zip</file_name>
        <icon>/media/packages/2024/icon_E0DCqOk.png</icon>
        <author_name><![CDATA[Miguel Sanz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/andalusianpopulation/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[devmemi]]></uploaded_by>
        <create_date>2021-06-01T10:25:02.361397+00:00</create_date>
        <update_date>2024-03-24T19:22:35.901060+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/devmemi]]></tracker>
        <repository><![CDATA[https://github.com/devmemi]]></repository>
        <tags><![CDATA[python,andalusia,andalucía,social,indicador,tasa,eis]]></tags>
        <downloads>8733</downloads>
        <average_vote>4.651971653406373</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Document Management System" version="0.4.3" plugin_id="2425">
        <description><![CDATA[Provides an interface to handle document management system relations]]></description>
        <about><![CDATA[Provides a an interface to handle document management system relations on both sides (document and object side). It supports both 1-N and N-M relations.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis-document-management-system-plugin]]></homepage>
        <file_name>document_management_system.0.4.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/document_management_system/version/0.4.3/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2021-06-03T12:41:34.496527+00:00</create_date>
        <update_date>2024-12-02T19:09:55.236667+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis-document-management-system-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis-document-management-system-plugin]]></repository>
        <tags><![CDATA[relation]]></tags>
        <downloads>8498</downloads>
        <average_vote>3.999200159968006</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Open LiDAR Toolbox" version="2.3" plugin_id="2430">
        <description><![CDATA[Open Tools for LiDAR Data Preparation and Analysis in Archaeology]]></description>
        <about><![CDATA[Open Open LiDAR Toolbox is a QGIS plug-in for one-step-processing of airborne LiDAR data from point cloud to LiDAR visualisations. The required input is an unclassified point cloud in LAZ/LAS format and the tool returns outputs needed for interpretative mapping of archaeological features. In addition, several other tools are available for multi-step data processing. The tools are optimised for archaeology, but have a broader application for anyone primarily interested in visual inspection of airborne LiDAR, e.g., topographic mapping. List of tools: * 0NE (One-step- processing); * Classify LAS/LAZ; * Create base data; * DFM confidence map; * Hybrid interpolation; * Visualisations (from DFM). Further contributers: Elias Grünbacher, Alexander Watzinger]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.1</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://stefaneichert.github.io/OpenLidarToolbox/]]></homepage>
        <file_name>open_lidar_tools.2.3.zip</file_name>
        <icon>/media/packages/2024/icon_yLRhUJw.png</icon>
        <author_name><![CDATA[Stefan Eichert, Benjamin Štular, Edisa Lozić]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/open_lidar_tools/version/2.3/download/</download_url>
        <uploaded_by><![CDATA[stefaneichert]]></uploaded_by>
        <create_date>2021-06-09T12:08:53.355370+00:00</create_date>
        <update_date>2024-08-23T09:01:40.434174+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/stefaneichert/OpenLidarTools/issues]]></tracker>
        <repository><![CDATA[https://github.com/stefaneichert/OpenLidarTools]]></repository>
        <tags><![CDATA[python,raster,archaeology,archeology,lidar,laser scanning,als,airborne laser scanning]]></tags>
        <downloads>58257</downloads>
        <average_vote>4.461469823541176</average_vote>
        <rating_votes>65</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Doner" version="0.2.0" plugin_id="2431">
        <description><![CDATA[Draw an ellipse]]></description>
        <about><![CDATA[Doner is a tool to mark your map with areas. When performing digitizing or checks on map this tool will help with marking places you already passed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://pavelpereverzev.github.io/doner/eng.html]]></homepage>
        <file_name>doner.0.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_rbVCQbG.png</icon>
        <author_name><![CDATA[Pavel Pereverzev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/doner/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[kylsha]]></uploaded_by>
        <create_date>2021-06-10T07:29:55.755251+00:00</create_date>
        <update_date>2025-09-03T16:11:53.696254+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pavelpereverzev/doner_qgis/blob/main/tracker]]></tracker>
        <repository><![CDATA[https://github.com/pavelpereverzev/doner_qgis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1400</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Catchment" version="0.4.3" plugin_id="2432">
        <description><![CDATA[Calculate point catchment areas (isochrones) using Graphhopper on OpenStreetMap roads, e.g. for educational planning.]]></description>
        <about><![CDATA[This is a plugin to calculate travel time to a point (e.g. school), from any polygon, to better understand patterns of access and improve educational planning.
 
The plugin is using Graphhopper on OpenStreetMap roads, and requires access to a Graphhopper API (https://www.graphhopper.com), or your own Graphhopper deployment (e.g. https://github.com/GispoCoding/graphhopper-docker).
 
Was this plugin useful? Let us know by sending a message to development@iiep.unesco.org]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/iiepdev/school-catchment-plugin]]></homepage>
        <file_name>Catchment.0.4.3.zip</file_name>
        <icon>/media/packages/2022/iiep_logo_IjdVeER.svg</icon>
        <author_name><![CDATA[IIEP-UNESCO and Gispo Ltd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Catchment/version/0.4.3/download/</download_url>
        <uploaded_by><![CDATA[rikuoja]]></uploaded_by>
        <create_date>2021-06-11T10:53:54.592475+00:00</create_date>
        <update_date>2022-11-01T10:19:07.699300+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/iiepdev/school-catchment-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/iiepdev/school-catchment-plugin]]></repository>
        <tags><![CDATA[catchment,isochrone,catchment area,graphhopper]]></tags>
        <downloads>16197</downloads>
        <average_vote>4.26293352981422</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NowcastTool" version="1.0.1" plugin_id="2433">
        <description><![CDATA[Tool for Nowcast tiles, load tiles, create weather map animation.]]></description>
        <about><![CDATA[Tool for Nowcast tiles, load tiles, create weather map animation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Kanahiro/qgis-nowcast-tool-plugin]]></homepage>
        <file_name>qgis-nowcast-tool-plugin-master.1.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_623panw.png</icon>
        <author_name><![CDATA[Kanahiro Iguchi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-nowcast-tool-plugin-master/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[kanahiro]]></uploaded_by>
        <create_date>2021-06-13T05:19:58.829760+00:00</create_date>
        <update_date>2021-06-14T10:39:42.338372+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kanahiro/qgis-nowcast-tool-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kanahiro/qgis-nowcast-tool-plugin]]></repository>
        <tags><![CDATA[python,animation,tile,japan,weather]]></tags>
        <downloads>3466</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickDEM4JP" version="2.2.2" plugin_id="2435">
        <description><![CDATA[Convert DEM XML files, provided by Geospatial Information Authority of Japan(GSI) to DEM GeoTiff and/or Terrain RGB format GeoTiff.]]></description>
        <about><![CDATA[Geospatial Information Authority of Japan(GSI) provides 1m, 5m and 10m DEM XML files of Japan &lt;a href=&#x27;https://service.gsi.go.jp/kiban/app/map/?search=dem&#x27;&gt;on the web&lt;/a&gt;. This plugin imports XML files or XML included zip files and converts them to DEM GeoTiff and/or Terrain RGB format GeoTiff.
国土地理院が提供する&lt;a href=&#x27;https://service.gsi.go.jp/kiban/app/map/?search=dem&#x27;&gt;基盤地図情報数値標高モデル(DEM)&lt;/a&gt;のXML形式及びそのZIPファイルを GeoTIFF形式のDEMとTerrain RGBに変換します。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MIERUNE/QuickDEM4JP]]></homepage>
        <file_name>QuickDEM4JP.2.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_mwIrQlF.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickDEM4JP/version/2.2.2/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
        <create_date>2021-06-15T05:43:57.116591+00:00</create_date>
        <update_date>2026-03-16T14:00:23.729248+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/QuickDEM4JP/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/QuickDEM4JP]]></repository>
        <tags><![CDATA[dem,terrain,xml,geotiff,gsi,国土地理院,標高,terrain rgb]]></tags>
        <downloads>71320</downloads>
        <average_vote>4.1521287812089</average_vote>
        <rating_votes>92</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ICRA" version="1.4" plugin_id="2436">
        <description><![CDATA[QGIS processing algorithms by ICRA]]></description>
        <about><![CDATA[ICRA is the Catalan Institute for Water Research. This plugin contains all processing algorithms created by its researchers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/icra/QGISprocessing]]></homepage>
        <file_name>ICRA.1.4.zip</file_name>
        <icon>/media/packages/2021/icon_yXQMXQI.png</icon>
        <author_name><![CDATA[Josep Pueyo-Ros, ICRA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ICRA/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[jospueyo]]></uploaded_by>
        <create_date>2021-06-17T12:46:22.675786+00:00</create_date>
        <update_date>2026-03-13T12:34:38.600733+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/icra/QGISprocessing/issues]]></tracker>
        <repository><![CDATA[https://github.com/icra/QGISprocessing]]></repository>
        <tags><![CDATA[python,water,sewer system]]></tags>
        <downloads>3698</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Assisted-MapMatching" version="1.1" plugin_id="2439">
        <description><![CDATA[This QGIS plugin match a GPS track on a network using leuvenMapMatching and allow the user to modify the result.]]></description>
        <about><![CDATA[This plugin doesn&#x27;t need any librarie on windows. You need to install the latest version (1.7.1+) of shapely on mac and linux (pip install shapely) : https://pypi.org/project/Shapely/. The plugin has been created using The Plugin Builder tool.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LAEQ/Assisted-MapMatching]]></homepage>
        <file_name>Assisted-MapMatching.1.1.zip</file_name>
        <icon>/media/packages/2022/Q3M_logo.png</icon>
        <author_name><![CDATA[LAEQ]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Assisted-MapMatching/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[laeqinrs]]></uploaded_by>
        <create_date>2021-06-17T16:24:51.295857+00:00</create_date>
        <update_date>2022-02-24T15:24:21.315861+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LAEQ/Assisted-MapMatching/issues]]></tracker>
        <repository><![CDATA[https://github.com/LAEQ/Assisted-MapMatching]]></repository>
        <tags><![CDATA[leuven mapmatching,mapmatching,gps track]]></tags>
        <downloads>10012</downloads>
        <average_vote>3.888456838129097</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ElevationTile4JP" version="2.5" plugin_id="2440">
        <description><![CDATA[Convert elevation tiles provided by Geospatial Information Authority of Japan (GSI) to GeoTiff format DEM.]]></description>
        <about><![CDATA[Geospatial Information Authority of Japan (GSI) provides elevation tile as a XYZ tile. This plugin fetches tiles from a specified extent, converts and merges them to GeoTiff format DEM. 指定した範囲から&lt;a href=&quot;https://maps.gsi.go.jp/development/ichiran.html#dem&quot;&gt;国土地理院が提供する標高タイル&lt;/a&gt;を GeoTIFF形式のDEM に変換します。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MIERUNE/ElevationTile4JP]]></homepage>
        <file_name>ElevationTile4JP.2.5.zip</file_name>
        <icon>/media/packages/2026/icon_M21dHul.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ElevationTile4JP/version/2.5/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
        <create_date>2021-06-23T05:37:40.317751+00:00</create_date>
        <update_date>2026-03-16T13:22:12.945661+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/ElevationTile4JP/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/ElevationTile4JP]]></repository>
        <tags><![CDATA[python,dem,japan,geotiff,gsi]]></tags>
        <downloads>19619</downloads>
        <average_vote>4.8663422438504105</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PostGIS Raster Import" version="3.2.0" plugin_id="2441">
        <description><![CDATA[Import Raster to PgRaster]]></description>
        <about><![CDATA[The plugin is designed to easily import file-based rasters into a PostGIS database.


The underlying raster import is based on the work of:

- Mateusz Loskot &lt;mateusz@loskot.net&gt; Copyright (C) 2009-2010
- Pierre Racine &lt;pierre.racine@sbf.ulaval.ca&gt; Copyright (C) 2009-2011
- Jorge Arevalo &lt;jorge.arevalo@deimos-space.com&gt; Copyright (C) 2009-2010
- Horst Duester &lt;horst.duester@sourcepole.ch&gt; Copyright (C) 2016

Improvements and overview creation dialog by:
- Florian Jenn &lt;florian.jenn@gci-kw.de&gt; Copyright (C) 2022–2023]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hdus/pg_raster_upload]]></homepage>
        <file_name>pg_raster_import.3.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_vSjXzT2.png</icon>
        <author_name><![CDATA[Dr. Horst Duester]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pg_raster_import/version/3.2.0/download/</download_url>
        <uploaded_by><![CDATA[hdus]]></uploaded_by>
        <create_date>2021-06-25T09:10:51.758142+00:00</create_date>
        <update_date>2023-03-27T11:57:04.175493+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hdus/pg_raster_upload/issues]]></tracker>
        <repository><![CDATA[https://github.com/hdus/pg_raster_upload]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>31063</downloads>
        <average_vote>4.391113429850876</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Terra Antiqua" version="1.1" plugin_id="2444">
        <description><![CDATA[This plugin creates digital elevation models of paleogeographic maps.]]></description>
        <about><![CDATA[Terra Antiqua deals with the reconstruction of paleogeography, simplifying the reconstruction process. The conceptual approach we follow consists of modifying present-day topography, assuming that it is possible to infer the paleogeography based on present-day observations (e.g., fossil data, thermochronological data). Terra Antiqua provides a complete set of tools to edit Digital Elevation Models (DEM) for paleoreconstructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://jaminzoda.github.io/terra-antiqua-documentation/]]></homepage>
        <file_name>terra_antiqua.1.1.zip</file_name>
        <icon>/media/packages/2022/icon_main_XtHWi08.png</icon>
        <author_name><![CDATA[Jovid Aminov, Diego Ruiz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/terra_antiqua/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[terraantiquans]]></uploaded_by>
        <create_date>2021-07-01T08:24:14.595576+00:00</create_date>
        <update_date>2022-02-18T01:37:37.339431+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jaminzoda/terra-antiqua/issues]]></tracker>
        <repository><![CDATA[https://github.com/jaminzoda/terra-antiqua]]></repository>
        <tags><![CDATA[python,geology,dem,topography,geoscience,bathymetry,paleogeography,paleobathymetry,gplates,climate modeling,paleoreconstruction,paleotopography]]></tags>
        <downloads>10184</downloads>
        <average_vote>3.9996363966912103</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Véloroutes Voies Vertes" version="1.0.0" plugin_id="2445">
        <description><![CDATA[French use-case only for cycling routes following the COVADIS Standard. Extension pour la gestion des vélouroutes et voies vertes selon le standard COVADIS]]></description>
        <about><![CDATA[French use-case only for cycling routes following the COVADIS Standard. Extension pour la gestion des vélouroutes et voies vertes selon le standard COVADIS]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/3liz/qgis-veloroutes_voies_vertes-plugin]]></homepage>
        <file_name>veloroutes_voies_vertes.1.0.0.zip</file_name>
        <icon>/media/packages/2021/icon_6GKcHjw.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/veloroutes_voies_vertes/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2021-07-01T15:36:00.435346+00:00</create_date>
        <update_date>2021-07-01T15:36:00.870194+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/qgis-veloroutes_voies_vertes-plugin]]></tracker>
        <repository><![CDATA[https://github.com/3liz/qgis-veloroutes_voies_vertes-plugin]]></repository>
        <tags><![CDATA[veloroutes,velo,covadis,voies vertes]]></tags>
        <downloads>2604</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ISO 19157" version="0.4" plugin_id="2446">
        <description><![CDATA[Application of the ISO 19157 standard on the BTN25 of the CNIG (Aplicación de la norma ISO 19157 sobre la BTN25 del CNIG)]]></description>
        <about><![CDATA[This plugin is developed for the implementation of the ISO 19157 standard, for the evaluation of the quality of geographic data presented in the cartography of the CNIG&#x27;s BTN25. (Este complemento se desarrolla para la implementación de la norma ISO 19157, para la evaluación de calidad de datos geográficos presentados en la cartografía de la BTN25 del CNIG).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://iso19157qgis.hol.es/]]></homepage>
        <file_name>iso_19157.0.4.zip</file_name>
        <icon>/media/packages/2021/icon_8cXdnUv.png</icon>
        <author_name><![CDATA[Harold Mercado LLanos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/iso_19157/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[hmercado78]]></uploaded_by>
        <create_date>2021-07-03T20:58:23.639894+00:00</create_date>
        <update_date>2021-07-13T20:35:39.246499+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hmercado78/ISO19157/issues]]></tracker>
        <repository><![CDATA[https://github.com/hmercado78/ISO19157]]></repository>
        <tags><![CDATA[iso,cartography,quality,19157]]></tags>
        <downloads>2040</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Create Layer From Selected Features" version="1.2" plugin_id="2448">
        <description><![CDATA[This plugin creates a layer using selected features.]]></description>
        <about><![CDATA[This plugin creates a layer using selected features. Only filtering operation is performed to selected layer, new files(.shp, kml, gml etc.) are not created.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_create_layer_from_selected_features_plugin]]></homepage>
        <file_name>create_layer_from_selected_features.1.2.zip</file_name>
        <icon>/media/packages/2022/icon_1pdouML.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/create_layer_from_selected_features/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2021-07-07T07:43:20.182308+00:00</create_date>
        <update_date>2022-01-13T19:51:51.040479+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_create_layer_from_selected_features_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_create_layer_from_selected_features_plugin/tree/main/create_layer_from_selected_features]]></repository>
        <tags><![CDATA[feature,python,select,clone,duplicate]]></tags>
        <downloads>11467</downloads>
        <average_vote>4.082993083909674</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Licence area scraper" version="0.2" plugin_id="2451">
        <description><![CDATA[Plugin for getting licence area in SHP-file (now only for https://www.nedraexpert.ru/)]]></description>
        <about><![CDATA[The plugin intended for scraping coordinates from web page (now only for https://www.nedraexpert.ru/)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MikkoArtik/LicAreaScraper/blob/master/README.md]]></homepage>
        <file_name>licareascraper.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_01fryfp.png</icon>
        <author_name><![CDATA[Michael Chernov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/licareascraper/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mikkoartic]]></uploaded_by>
        <create_date>2021-07-09T06:40:06.458432+00:00</create_date>
        <update_date>2021-07-12T09:01:46.639454+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MikkoArtik/LicAreaScraper/issues]]></tracker>
        <repository><![CDATA[https://github.com/MikkoArtik/LicAreaScraper]]></repository>
        <tags><![CDATA[python,geology,area,scraping,licence]]></tags>
        <downloads>2100</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mapflow" version="3.5.1" plugin_id="2452">
        <description><![CDATA[Extract real-world objects from satellite imagery with Mapflow by Geoalert. Mapflow provides AI mapping pipelines for building footprints, roads, fields, forest and construction sites.]]></description>
        <about><![CDATA[Mapflow provides AI models for automatic feature extraction from satellite imagery. Choose a web imagery provider or upload you own image, select what type of features you want to extract and your area of interest, and Mapflow will do the rest. Currently, we can extract:
- buildings
- agricultural fields
- forest (optionally, with height)
- roads
- construction sites
For a step-by-step user guide, go to https://docs.mapflow.ai/api/qgis_mapflow#user-interface]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mapflow.ai]]></homepage>
        <file_name>mapflow.3.5.1.zip</file_name>
        <icon>/media/packages/2026/icon_opNaxiq.png</icon>
        <author_name><![CDATA[Geoalert]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapflow/version/3.5.1/download/</download_url>
        <uploaded_by><![CDATA[geoalert]]></uploaded_by>
        <create_date>2021-07-09T15:15:42.595345+00:00</create_date>
        <update_date>2026-04-08T08:13:19.230735+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Geoalert/mapflow-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/Geoalert/mapflow-qgis]]></repository>
        <tags><![CDATA[digitizing,classification,remote sensing,roads,feature extraction,forest,satellite,forestry,machine learning,earth observation,deep learning,artificial intelligence,construction detection,building detection,agricultural field detection]]></tags>
        <downloads>186986</downloads>
        <average_vote>3.975435733523107</average_vote>
        <rating_votes>163</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PrecisionCursor" version="1.1.D" plugin_id="2453">
        <description><![CDATA[Gives you a button to switch the mouse cursor to a high precision pointer]]></description>
        <about><![CDATA[Especially useful where standard map tools give you only imprecise cursors with unclear hotspot, like the &quot;open hand&quot; cursor for panning. Now with a set of extra large ruler / guideline cursors.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://greengooscenario.wordpress.com/2021/06/02/precisioncursorplugin/]]></homepage>
        <file_name>precisioncursor4qgis-main.1.1.D.zip</file_name>
        <icon>/media/packages/2021/PrecisionCursorIcon4_Klm2maV.png</icon>
        <author_name><![CDATA[Matthias Jacobs]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/precisioncursor4qgis-main/version/1.1.D/download/</download_url>
        <uploaded_by><![CDATA[greengooscenario]]></uploaded_by>
        <create_date>2021-07-12T19:42:31.272615+00:00</create_date>
        <update_date>2024-05-20T08:33:27.920158+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/greengooscenario/precisioncursor4qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/greengooscenario/precisioncursor4qgis]]></repository>
        <tags><![CDATA[map,canvas,maptool,digitizing,zoom,pan,productivity,georeference,match,gui,tool,georeferencing,interface,rulers,ruler,guideline]]></tags>
        <downloads>14981</downloads>
        <average_vote>4.4541405326788475</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qpip" version="1.4.5" plugin_id="2454">
        <description><![CDATA[PIP dependencies manager for QGIS plugins]]></description>
        <about><![CDATA[PIP dependencies manager for QGIS plugins (WARNING - THIS IS IN EARLY DEVELOPEMENT, NOT STABLE/USABLE YET)]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qpip]]></homepage>
        <file_name>a00_qpip.1.4.5.zip</file_name>
        <icon>/media/packages/2026/qpip_wf8fAjw.svg</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/a00_qpip/version/1.4.5/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2021-07-13T13:10:50.787025+00:00</create_date>
        <update_date>2026-04-08T12:51:33.227488+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qpip/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qpip]]></repository>
        <tags><![CDATA[plugin,pip,dependencies,dependency]]></tags>
        <downloads>62897</downloads>
        <average_vote>4.81234961407456</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Generate SWMM inp" version="0.40" plugin_id="2459">
        <description><![CDATA[Generate SWMM input files from layers, import input files from SWMM to QGIS and import SWMM report files to QGIS]]></description>
        <about><![CDATA[This plugin provides tools to generate SWMM input files from layers in QGIS, and to import SWMM input files into QGIS. You can create submodels above or below a certain node in your model layers. The plugin needs the python library &#x27;pandas&#x27; which should be included in current QGIS versions. If it is not already installed, it can be added in a advanced QGIS installation or via pip. Instructions and a documentation can be found on the plugin´s GIT (see link &quot;homepage&quot; below).

Cite as: Schilling, J.; Tränckner, J. Generate_SWMM_inp: An Open-Source QGIS Plugin to Import and Export Model Input Files for SWMM. Water 2022, 14, 2262. https://doi.org/10.3390/w14142262

First versions (0.1 to 0.31) of this plugin have been developed within the project PROSPER-RO, funded by BMBF, grant number 033L212.
New features and bugfixes (versions 0.32 to 0.39) have been added within the project OSWeGe, funded by BMUV, grant number 67DAS263]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Jannik-Schilling/generate_swmm_inp]]></homepage>
        <file_name>generate_swmm_inp.0.40.zip</file_name>
        <icon>/media/packages/2026/icon_pTO66lG.png</icon>
        <author_name><![CDATA[Jannik Schilling]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/generate_swmm_inp/version/0.40/download/</download_url>
        <uploaded_by><![CDATA[jannikschilling]]></uploaded_by>
        <create_date>2021-07-15T17:24:54.903946+00:00</create_date>
        <update_date>2025-11-02T13:57:43.247472+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Jannik-Schilling/generate_swmm_inp/issues]]></tracker>
        <repository><![CDATA[https://github.com/Jannik-Schilling/generate_swmm_inp]]></repository>
        <tags><![CDATA[flow,water,river,modelling,wastewater,sewer,swmm]]></tags>
        <downloads>36201</downloads>
        <average_vote>4.341410470604017</average_vote>
        <rating_votes>82</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="timezone_expressions" version="v0.2" plugin_id="2460">
        <description><![CDATA[Expression functions to handle timezones in QGIS. set_timezone, to_timezone, to_localtime]]></description>
        <about><![CDATA[Expression functions to handle timezones in QGIS]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis_timezone_expressions]]></homepage>
        <file_name>timezone_expressions.v0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Matthias Kuhn]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/timezone_expressions/version/v0.2/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2021-07-19T16:37:35.406989+00:00</create_date>
        <update_date>2021-07-19T16:48:14.690999+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis_timezone_expressions/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis_timezone_expressions]]></repository>
        <tags><![CDATA[attributes,function,expressions,field calculator,timezones]]></tags>
        <downloads>2307</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Censo IBGE" version="1.1" plugin_id="2467">
        <description><![CDATA[Download the IBGE (Brazilian Institute of Geography and Statistics) census sectors and the data linked to them. Only 2010 census data is currently available. Baixa os setores dos censos do IBGE juntando com os resultados dos censo agregados por setor, podendo escoher qual os dados e tabelas baixar. Atualmente só os dados do censo 2010 estão disponíveis.]]></description>
        <about><![CDATA[Download the IBGE (Brazilian Institute of Geography and Statistics) census sectors and the data linked to them. Only 2022 and 2010 census data is currently available. Baixa os setores dos censos do IBGE juntando com os resultados dos setores escolhidos, podendo escoher qual os dados serão agregados aos setores. os dados são baixados do https://ftp.ibge.gov.br/Censos e  https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_de_setores_censitarios__divisoes_intramunicipais]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CarlosCagna/Censo_IBGE]]></homepage>
        <file_name>dados_censo.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_8D0uNHS.png</icon>
        <author_name><![CDATA[Carlos Eduardo Cagna]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dados_censo/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[carloscagna]]></uploaded_by>
        <create_date>2021-07-30T16:16:45.271373+00:00</create_date>
        <update_date>2025-05-16T19:20:16.419441+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CarlosCagna/Censo_IBGE/issues]]></tracker>
        <repository><![CDATA[https://github.com/CarlosCagna/Censo_IBGE]]></repository>
        <tags><![CDATA[ibge setores]]></tags>
        <downloads>57733</downloads>
        <average_vote>4.794748852593523</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qgis2rasterlite" version="0.6" plugin_id="2468">
        <description><![CDATA[import raster into spatialite5  database]]></description>
        <about><![CDATA[import raster  into spatialite 5 database]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enzococca/qgis2rasterlite]]></homepage>
        <file_name>qgis2rasterlite.0.6.zip</file_name>
        <icon>/media/packages/2026/icon_2EjXhzg.png</icon>
        <author_name><![CDATA[Enzo Cocca, adArte srl]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis2rasterlite/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[enzo]]></uploaded_by>
        <create_date>2021-07-31T14:14:29.694064+00:00</create_date>
        <update_date>2026-02-02T11:16:35.451469+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enzococca/qgis2rasterlite]]></tracker>
        <repository><![CDATA[https://github.com/enzococca/qgis2rasterlite]]></repository>
        <tags><![CDATA[python,raster,spatialite,database,import]]></tags>
        <downloads>8507</downloads>
        <average_vote>4.099590040995901</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Estonian IN-ADS search" version="1.0" plugin_id="2473">
        <description><![CDATA[Estonian address search from the Estonian Land Board IN-ADS web service]]></description>
        <about><![CDATA[This plugin offers a basic aadress search from Estonian Land Board and highlights the response location on the map. https://geoportaal.maaamet.ee/eng/Services/In-ADS-p660.html]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sanderpukk/in_ads_search]]></homepage>
        <file_name>in_ads.1.0.zip</file_name>
        <icon>/media/packages/2021/icon_7xlA3Cc.png</icon>
        <author_name><![CDATA[Sander Pukk]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/in_ads/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[sanderpukk]]></uploaded_by>
        <create_date>2021-08-16T07:12:04.927264+00:00</create_date>
        <update_date>2021-08-16T07:12:07.110245+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sanderpukk/in_ads_search/issues]]></tracker>
        <repository><![CDATA[https://github.com/sanderpukk/in_ads_search]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1128</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Thematic accuracy" version="0.2" plugin_id="2474">
        <description><![CDATA[Plugin for the evaluation of thematic accuracy on vector cartography]]></description>
        <about><![CDATA[Thematic Accuracy Plugin QGIS for the evaluation of thematic accuracy on vector cartography. A polygon-type coverage layer and a reference source are required for the purchase, the plugin allows the user to select the type of sampling and the relationship between the attributes of both cartographies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://thematicaccuracy.hol.es/]]></homepage>
        <file_name>thematic_accuracy.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_fCyV7oD.png</icon>
        <author_name><![CDATA[Harold Mercado LLanos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/thematic_accuracy/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[hmercado78]]></uploaded_by>
        <create_date>2021-08-17T01:32:39.006412+00:00</create_date>
        <update_date>2021-08-17T01:32:39.427535+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hmercado78/ThematicAccuracy/issues]]></tracker>
        <repository><![CDATA[https://github.com/hmercado78/ThematicAccuracy]]></repository>
        <tags><![CDATA[python,quality,iso19157,thematic accuracy,sampling,clasificación,exactitud temática]]></tags>
        <downloads>3275</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Polygon by clicking in map image" version="0.7" plugin_id="2476">
        <description><![CDATA[Plugin tool for create polygon from image on map.

* Using &quot;Growth Region&quot; plugin]]></description>
        <about><![CDATA[From the click on the map, the tool automatically creates a polygon on the current editable layer.
&lt;b&gt;The Tool is active when the current layer is a polygon type and editable.&lt;/b&gt;

Dependence: &lt;a href=&quot;https://www.scipy.org/install.html&quot;&gt;SciPy&lt;/a&gt; for fill holes. The QGIS install SciPy for Mac and Windows.

Documentation: &lt;a href=&quot;https://github.com/lmotta/polygonclickmap/wiki/English&quot;&gt;english&lt;/a&gt; or &lt;a href=&quot;https://github.com/lmotta/polygonclickmap/wiki/Portuguese&quot;&gt;portuguese&lt;/a&gt;.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/polygonclickmap/wiki]]></homepage>
        <file_name>polygonclickmap.0.7.zip</file_name>
        <icon>/media/packages/2021/polygonclickmap_ZaFf5kN.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/polygonclickmap/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2021-08-26T23:02:02.768292+00:00</create_date>
        <update_date>2021-09-27T12:55:54.108808+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/polygonclickmap/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/polygonclickmap]]></repository>
        <tags><![CDATA[raster,polygon from image,polygonalization]]></tags>
        <downloads>15523</downloads>
        <average_vote>4.352685136168461</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AvaFrameConnector" version="1.14.1" plugin_id="2477">
        <description><![CDATA[Connects to AvaFrame]]></description>
        <about><![CDATA[Connecting AvaFrame and QGis.
NOTE: see installation instructions at http://docs.avaframe.org/installation.html.
If you are updating the AvaFrameConnector, make sure to run UpdateAvaFrame in
the Admin Group (in your toolbox)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://avaframe.org]]></homepage>
        <file_name>avaframeConnector.1.14.1.zip</file_name>
        <icon>/media/packages/2025/icon_KCOEgUt.png</icon>
        <author_name><![CDATA[AvaFrame Team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/avaframeConnector/version/1.14.1/download/</download_url>
        <uploaded_by><![CDATA[avaframe]]></uploaded_by>
        <create_date>2021-08-27T07:23:09.048240+00:00</create_date>
        <update_date>2025-11-25T15:32:45.288971+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenNHM/QGisAF]]></tracker>
        <repository><![CDATA[https://github.com/OpenNHM/QGisAF]]></repository>
        <tags><![CDATA[python,avalanche]]></tags>
        <downloads>10717</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="spatialite_converter" version="0.1" plugin_id="2478">
        <description><![CDATA[Tool to convert spatialite 3 or 4 into 5]]></description>
        <about><![CDATA[Tool to convert spaialite db 3 or 4 into 5]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enzococca/spatialite_converter]]></homepage>
        <file_name>spatialite_converter.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_0EndepE.png</icon>
        <author_name><![CDATA[Enzo Cocca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spatialite_converter/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[enzo]]></uploaded_by>
        <create_date>2021-08-27T09:39:20.008579+00:00</create_date>
        <update_date>2021-08-27T09:39:20.345806+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enzococca/spatialite_converter]]></tracker>
        <repository><![CDATA[https://github.com/enzococca/spatialite_converter]]></repository>
        <tags><![CDATA[python,spatialite,database]]></tags>
        <downloads>3409</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SolrSeach" version="1.0.0" plugin_id="2481">
        <description><![CDATA[a plugin to integrate an Apache Solr search engine into the locator filter]]></description>
        <about><![CDATA[This plugin allows QGIS to connect to a search platform realised by Apache Solr. Depending on the data in the search platform, the user has the option of a full text search with a spatial component to change the map position according to the selected search result.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jagodki/SolrSearch]]></homepage>
        <file_name>SolrSearch.1.0.0.zip</file_name>
        <icon>/media/packages/2021/icon_solrsearch.png</icon>
        <author_name><![CDATA[Christoph Jung]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SolrSearch/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[jagodki]]></uploaded_by>
        <create_date>2021-08-31T18:46:26.373571+00:00</create_date>
        <update_date>2021-08-31T18:46:28.243638+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jagodki/SolrSearch/issues]]></tracker>
        <repository><![CDATA[https://github.com/jagodki/SolrSearch]]></repository>
        <tags><![CDATA[filter,search,geocoder,locator,solr]]></tags>
        <downloads>1406</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CaLiÉc" version="2.3" plugin_id="2482">
        <description><![CDATA[EN:
Realise orienteering maps

FR :
Réaliser des cartes d’orientation]]></description>
        <about><![CDATA[EN:
Create supports for teaching geography and physical education in primary school. The representation of space is worked over small areas, and the symbology is adapted to the age of the students.

FR :
Permettre la production de supports pour l’enseignement en géographie et EPS (course d’orientation) à l’école primaire. En effet la représentation de l’espace y est travaillée sur des zones peu étendues, et la symbologie doit être adaptée à l’âge des élèves.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.linux-alpes.org/caliec/]]></homepage>
        <file_name>orientation.2.3.zip</file_name>
        <icon>/media/packages/2021/icon_zAa1bD7.png</icon>
        <author_name><![CDATA[Association Linux-Alpes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/orientation/version/2.3/download/</download_url>
        <uploaded_by><![CDATA[djedouas]]></uploaded_by>
        <create_date>2021-09-01T14:35:37.935321+00:00</create_date>
        <update_date>2021-09-01T14:35:38.224833+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://forge.chapril.org/linux_alpes/caliec/issues]]></tracker>
        <repository><![CDATA[https://forge.chapril.org/linux_alpes/caliec/]]></repository>
        <tags><![CDATA[python,osm]]></tags>
        <downloads>3090</downloads>
        <average_vote>3.9986671109630123</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoKKP-GIS" version="1.2.0" plugin_id="2484">
        <description><![CDATA[This plugin ports GeoKKP for National Land Agency of Indonesia]]></description>
        <about><![CDATA[This plugin serves as a port of GeoKKP for GIS purposes in QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/danylaksono/GeoKKP-GIS]]></homepage>
        <file_name>GeoKKP-GIS.1.2.0.zip</file_name>
        <icon>/media/packages/2023/icon_C2SKaYJ.png</icon>
        <author_name><![CDATA[Dany Laksono, Ivan Busthomi, Nur Izzahudin, Ismail Sunni]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoKKP-GIS/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[danylaksono]]></uploaded_by>
        <create_date>2021-09-01T22:05:21.382772+00:00</create_date>
        <update_date>2023-02-16T17:03:23.118180+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/danylaksono/GeoKKP-GIS]]></tracker>
        <repository><![CDATA[https://github.com/danylaksono/GeoKKP-GIS]]></repository>
        <tags><![CDATA[parcels,national land agency,geokkp]]></tags>
        <downloads>9725</downloads>
        <average_vote>4.782400765184122</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="movecost" version="3.0.1" plugin_id="2489">
        <description><![CDATA[R script for QGIS for Calculation of Slope-Dependent Accumulated Cost Surface, Least-Cost Paths, and Least-Cost Corridors Related to Human Movement]]></description>
        <about><![CDATA[R script for QGIS for Calculation of Slope-Dependent Accumulated Cost Surface, Least-Cost Paths, and Least-Cost Corridors Related to Human Movement. Based on the movecost R package by Gianmarco Alberti. Requires the Processing R Provider plugin and R with movecost, sf, and terra packages installed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enzococca/movecost]]></homepage>
        <file_name>movecost.3.0.1.zip</file_name>
        <icon>/media/packages/2026/movecost_fkb9WGH.png</icon>
        <author_name><![CDATA[Enzo Cocca; Gianmarco Alberti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/movecost/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[enzo]]></uploaded_by>
        <create_date>2021-09-14T18:51:29.929667+00:00</create_date>
        <update_date>2026-02-09T07:02:16.534236+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enzococca/movecost/issues]]></tracker>
        <repository><![CDATA[https://github.com/enzococca/movecost]]></repository>
        <tags><![CDATA[python,r,archaeology,gis,movement,least-cost path,cost surface]]></tags>
        <downloads>8081</downloads>
        <average_vote>2.833175934670296</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GIAP-PolaMap(lite)" version="1.0" plugin_id="2490">
        <description><![CDATA[GIAP-PolaMap(lite) is an open-source plugin, which allows customization of toolbar and adds proprietary tools to QGIS.]]></description>
        <about><![CDATA[The plugin consists of several elements, which include proprietary tools of one of polish firm producing GIS software - GIAP SP. z o.o. The proprietary GIAP tools include quick print of map, creating own map compositions, ability to quickly add WMS/WMTS services, search engine for data from the ULDK service and customization of toolbar.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GIAPspzoo/GIAP_PolaMap_lite]]></homepage>
        <file_name>GIAP-PolaMap-lite.1.0.zip</file_name>
        <icon>/media/packages/2025/PolaMap_Lite2_PWwQECW.png</icon>
        <author_name><![CDATA[GIAP]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GIAP-PolaMap-lite/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[giap]]></uploaded_by>
        <create_date>2021-09-15T13:09:11.707153+00:00</create_date>
        <update_date>2025-04-28T12:47:54.658860+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GIAPspzoo/GIAP_PolaMap_lite/issues]]></tracker>
        <repository><![CDATA[https://github.com/GIAPspzoo/GIAP_PolaMap_lite]]></repository>
        <tags><![CDATA[python,toolbar,giap,personalization]]></tags>
        <downloads>2902</downloads>
        <average_vote>4.759936534179544</average_vote>
        <rating_votes>75</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RDI Croisement Dynamique" version="2.7" plugin_id="2491">
        <description><![CDATA[Croisement dynamique et affichage des enjeux dans les emprises des aléas]]></description>
        <about><![CDATA[Ce plugin nécessite la connexion à une base Postgis avec un schéma accessible en écriture]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/elCreator/rdi-croisement-dynamique]]></homepage>
        <file_name>rdi.2.7.zip</file_name>
        <icon>/media/packages/2025/icon_PcjmpiX.png</icon>
        <author_name><![CDATA[Eric Lefevre (DDT-67)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rdi/version/2.7/download/</download_url>
        <uploaded_by><![CDATA[ericlefevre]]></uploaded_by>
        <create_date>2021-09-16T08:13:48.840677+00:00</create_date>
        <update_date>2025-08-29T09:06:50.249276+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/elCreator/rdi-croisement-dynamique/-/incidents]]></tracker>
        <repository><![CDATA[https://gitlab.com/elCreator/rdi-croisement-dynamique.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3626</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ellipsis Drive Connect" version="2.2.5" plugin_id="2493">
        <description><![CDATA[Easily open Ellipsis Drive content in QGIS.]]></description>
        <about><![CDATA[Easily open Ellipsis Drive content in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ellipsis-drive.com]]></homepage>
        <file_name>ellipsis-connect.2.2.5.zip</file_name>
        <icon>/media/packages/2026/icon_GamnZOn.png</icon>
        <author_name><![CDATA[Ellipsis Drive]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ellipsis-connect/version/2.2.5/download/</download_url>
        <uploaded_by><![CDATA[ellipsisdrive]]></uploaded_by>
        <create_date>2021-09-17T15:24:06.098753+00:00</create_date>
        <update_date>2026-03-30T12:24:35.211696+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ellipsis-drive-internal/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ellipsis-drive-internal/qgis-plugin]]></repository>
        <tags><![CDATA[python,ellipsis drive,ellipsis,drive,ellipsis-drive]]></tags>
        <downloads>5772</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Greek Data" version="3.0.0" plugin_id="2495">
        <description><![CDATA[Simple &amp; centralised access to open geospatial datasets for Greece, provided by official government agencies and institutions. This plugin provides catalog search and direct layer loading functions for a variety of official greek data sources.]]></description>
        <about><![CDATA[Easy and quick access to open geospatial data for Greece. Refer &lt;a href=&quot;https://www.elymperis.com/greekdata-qgis&quot;&gt;here&lt;/a&gt; for more information. Originally developed for &lt;a href=&quot;https://www.geomeletitiki.gr&quot;&gt;Geomeletitiki Consulting Engineers&lt;/a&gt; by &lt;a href=&quot;https://gr.linkedin.com/in/efstathios-lymperis-975702188&quot;&gt;Efstathios Lymperis&lt;/a&gt;, Geoscientist &amp; Geospatial Software Engineer.&lt;br /&gt; &lt;br /&gt; Version 2.0 is a complete re-write and features a new interface, along with some other features. You can read more &lt;a href=&quot;https://www.elymperis.com/greekdata-qgis&quot;&gt;here&lt;/a&gt;. The main change, is that fetched layers are now cached in a local settings.json file, so that they can be searched through and accessed easily. They then get updated every 7 days. Since the change is quite significant, the version has been bumped to 2.0.0, and your feedback is more than welcome.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lymperis-e/qgis_grdata_plugin]]></homepage>
        <file_name>grdata.3.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_fgzcdpx.png</icon>
        <author_name><![CDATA[Lymperis Efstathios]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/grdata/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[elymperis]]></uploaded_by>
        <create_date>2021-09-20T14:06:21.843257+00:00</create_date>
        <update_date>2026-03-22T20:11:01.705307+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lymperis-e/qgis_grdata_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lymperis-e/qgis_grdata_plugin]]></repository>
        <tags><![CDATA[python,data,greek,geodata,ypen,gov,gov.gr,poleodomia,epoleodomia]]></tags>
        <downloads>15705</downloads>
        <average_vote>4.290831075798622</average_vote>
        <rating_votes>55</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bivariate color polygon renderer" version="1.3.1" plugin_id="2496">
        <description><![CDATA[Implementation of bivariate color renderer for polygon data.]]></description>
        <about><![CDATA[Implementation of bivariate color renderer for polygon data. Examples are shown here - https://www.joshuastevens.net/cartography/make-a-bivariate-choropleth-map/.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://jancaha.github.io/qgis-plugin-bivariate-renderer/]]></homepage>
        <file_name>BivariateRenderer.1.3.1.zip</file_name>
        <icon>/media/packages/2026/main_icon_g5AM8o8.png</icon>
        <author_name><![CDATA[Jan Caha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BivariateRenderer/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[cahik]]></uploaded_by>
        <create_date>2021-09-22T09:16:47.799961+00:00</create_date>
        <update_date>2026-03-12T13:44:44.086445+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JanCaha/qgis-plugin-bivariate-renderer/issues]]></tracker>
        <repository><![CDATA[https://github.com/JanCaha/qgis-plugin-bivariate-renderer]]></repository>
        <tags><![CDATA[renderer]]></tags>
        <downloads>15462</downloads>
        <average_vote>4.368191147834324</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PCRaster Tools" version="0.4.0" plugin_id="2497">
        <description><![CDATA[Processing provider for PCRaster operations]]></description>
        <about><![CDATA[PCRaster is a powerful package of software for map algebra and environmental dynamic modelling. The main applications of PCRaster are found in environmental modelling: geography, hydrology, ecology to name a few. An extensive set of operators is available: several point operators (analytical and arithmetical functions, Boolean operators, operators for relations, comparison, rounding, field generation etc.), neighbourhood operators for calculations in moving windows (highpass filtering, edge filtering, moving averages, etc.), area operators for calculations within specified areas (for instance soil groups), operators for the calculation of cost paths. In the PCRaster package a rich suite of geomorphological and hydrological functions is available. These include functions for visibility analysis, catchment analysis and routing of transport (drainage) of material in a catchment using interactively generated local drain direction maps and transport (routing) operations. These operations are made available in the QGIS Processing Toolbox through this plugin.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://jvdkwast.github.io/qgis-processing-pcraster/]]></homepage>
        <file_name>pcraster_tools.0.4.0.zip</file_name>
        <icon>/media/packages/2025/icon_veNhAA6.png</icon>
        <author_name><![CDATA[Hans van der Kwast, North Road]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pcraster_tools/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2021-09-24T03:54:28.022870+00:00</create_date>
        <update_date>2025-05-27T23:07:32.029303+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jvdkwast/qgis-processing-pcraster/issues]]></tracker>
        <repository><![CDATA[https://github.com/jvdkwast/qgis-processing-pcraster]]></repository>
        <tags><![CDATA[ecology,python,raster,analysis,routing,water,geomorphology,hydrology,flood,dem,tools,processing,catchment,pcraster,modelling,map algebra]]></tags>
        <downloads>96522</downloads>
        <average_vote>4.352877163571124</average_vote>
        <rating_votes>68</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vertical Photo Placer" version="0.3" plugin_id="2502">
        <description><![CDATA[The Vertical Photo Placer (VPP) is a free open source plugin for QGIS that performs quick placement of vertical drone photos on map]]></description>
        <about><![CDATA[Developed at Chubu University, the Vertical Photo Placer (VPP) plugin allows quick geo-referencing and visualizing of vertical drone photos on map, which is intended to be used in emergency response.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://verticalphotoplacer.github.io/VerticalPhotoPlacer/]]></homepage>
        <file_name>vertical_photo_placer.0.3.zip</file_name>
        <icon>/media/packages/2023/icon_pgo0WXn.png</icon>
        <author_name><![CDATA[Man Duc Chuc, Hiroshi Inoue, Satoru Sugita, Hiromichi Fukui]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vertical_photo_placer/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[chucman]]></uploaded_by>
        <create_date>2021-09-28T01:24:41.632898+00:00</create_date>
        <update_date>2023-08-27T05:26:02.783068+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/verticalphotoplacer/VerticalPhotoPlacer/issues]]></tracker>
        <repository><![CDATA[https://github.com/verticalphotoplacer/VerticalPhotoPlacer]]></repository>
        <tags><![CDATA[photo,drone,mapping,visualization,qgis-plugin]]></tags>
        <downloads>20151</downloads>
        <average_vote>3.843629886566045</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="XTFLog-Checker" version="v1.3.0" plugin_id="2503">
        <description><![CDATA[Visualize errors in XTF-Log files]]></description>
        <about><![CDATA[XTFLog-Checker is a QGIS plugin that lets you display errors in XTFLog files created by the ilivalidator (https://www.interlis.ch/downloads/ilivalidator) and iG/Check (https://www.interlis.ch/downloads/igcheck). When opening an XTFLog file in QGIS with this plugin, A checklist is created that helps you keep track of your progress when addressing the errors.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GeoWerkstatt/qgis-xtf-log-checker]]></homepage>
        <file_name>xtflog_checker.v1.3.0.zip</file_name>
        <icon>/media/packages/2025/icon_TWnglP1.png</icon>
        <author_name><![CDATA[GeoWerkstatt GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xtflog_checker/version/v1.3.0/download/</download_url>
        <uploaded_by><![CDATA[geowerkstatt]]></uploaded_by>
        <create_date>2021-09-28T07:22:27.501410+00:00</create_date>
        <update_date>2025-12-17T16:19:27.827792+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoWerkstatt/qgis-xtf-log-checker/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoWerkstatt/qgis-xtf-log-checker.git]]></repository>
        <tags><![CDATA[interlis,swiss,suisse,xtf,ili,schweiz,switzerland,ilivalidator,transferfile,ig/check,igcheck]]></tags>
        <downloads>4000</downloads>
        <average_vote>4.727057861006317</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IBGE Cartography Index Map" version="0.4.1" plugin_id="2504">
        <description><![CDATA[This plugin displays in QGIS the index layers from IBGE Cartography Department.| O plugin exibe no QGIS as camadas de índice da Coordenação de Cartografia do IBGE.]]></description>
        <about><![CDATA[The main function of the index layers made available by the Cartography Department of IBGE is to allow the user to know everything that is produced in this department. This plugin displays these index layers in QGIS in a structured way.

-------------------------------------------------------------------------------------------------------------------------------------

A função principal das camadas de índice é permitir ao usuário conhecer todos os produtos que a Coordenação de Cartografia do IBGE disponibiliza. Esse plugin exibe essas camadas no QGIS de uma forma estruturada.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/IBGE-DGC/ibge_cartography_index_map]]></homepage>
        <file_name>ibge_cartography_index_map.0.4.1.zip</file_name>
        <icon>/media/packages/2021/icon_6pShXMn.png</icon>
        <author_name><![CDATA[Marcel Rotunno (IBGE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ibge_cartography_index_map/version/0.4.1/download/</download_url>
        <uploaded_by><![CDATA[marcelrotunno]]></uploaded_by>
        <create_date>2021-09-28T18:15:08.800309+00:00</create_date>
        <update_date>2021-10-07T01:12:29.837488+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IBGE-DGC/ibge_cartography_index_map/issues]]></tracker>
        <repository><![CDATA[https://github.com/IBGE-DGC/ibge_cartography_index_map]]></repository>
        <tags><![CDATA[cartography,index map,ibge,cartografia,mapa índice]]></tags>
        <downloads>15701</downloads>
        <average_vote>4.142265390658477</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QSoccer" version="1.1.1" plugin_id="2505">
        <description><![CDATA[Draw a pitch and depict soccer data]]></description>
        <about><![CDATA[Draw a pitch and depict soccer data]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/QSoccer/]]></homepage>
        <file_name>qsoccer.1.1.1.zip</file_name>
        <icon>/media/packages/2022/qsoccer_logo_96px_83gZcCv.svg</icon>
        <author_name><![CDATA[Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qsoccer/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2021-10-01T15:27:20.596613+00:00</create_date>
        <update_date>2022-11-14T09:08:40.875057+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/QSoccer/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/QSoccer/]]></repository>
        <tags><![CDATA[dataviz,football,soccer]]></tags>
        <downloads>4724</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="totalopenstationToQgis" version="5.4" plugin_id="2507">
        <description><![CDATA[Total Station Luncher in a connector for Total Open Station (TOPS for friends) and it is a free software program for downloading and processing data from total station devices. This one is a plugin to connect with totalopenstation software developed as part of the IOSA project by Stefano Costa and Luca Bianconi, archaeologists and Damien Gaignon() .]]></description>
        <about><![CDATA[Total Open Station (TOPS for friends) is a free software program for downloading and processing data from total station devices. This is a task which is usually done by proprietary, dedicated and Windows™-only software, but TOPS is different by nature, because: it is free software released under the GNU GPLv3 license; it works on any operating system; it is designed to support as many devices and formats as possible, all within the same program, opposed to having one program per device. Every model has its own quirks, but TOPS uses a modular structure and keeps the downloading of data logically separated from its processing, thus enabling exporting data to a variety of output formats, even at a later moment. Archiving of raw data is made easy by using plain text files. Users of Total Open Station are a growing number, you can be the next. See which Models are already supported.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://totalopenstation.readthedocs.io/en/stable/]]></homepage>
        <file_name>totalopenstationToQgis.5.4.zip</file_name>
        <icon>/media/packages/2022/icon_b6XkjzH.png</icon>
        <author_name><![CDATA[Enzo Cocca , Stefano Costa &amp; Damien Gaignon]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/totalopenstationToQgis/version/5.4/download/</download_url>
        <uploaded_by><![CDATA[enzo]]></uploaded_by>
        <create_date>2021-10-05T07:20:59.599459+00:00</create_date>
        <update_date>2022-08-26T07:26:40.150985+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enzococca/totalopenstationToQgis]]></tracker>
        <repository><![CDATA[https://github.com/enzococca/totalopenstationToQgis]]></repository>
        <tags><![CDATA[python,totalstation]]></tags>
        <downloads>7267</downloads>
        <average_vote>4.4439506721475395</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QompliGIS" version="v1.2.0" plugin_id="2509">
        <description><![CDATA[verify if the structure of a dataset complies with the structure of a reference dataset.]]></description>
        <about><![CDATA[QGIS compliance plugin]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/qompligis/]]></homepage>
        <file_name>QompliGIS.v1.2.0.zip</file_name>
        <icon>/media/packages/2022/qompligis_logo_VTZqRoW.svg</icon>
        <author_name><![CDATA[Loïc Bartoletti (Oslandia), Jacky Volpes (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QompliGIS/version/v1.2.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2021-10-05T14:57:20.333930+00:00</create_date>
        <update_date>2022-07-21T10:09:42.495636+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/qompligis/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/oslandia/QGIS/qompligis/]]></repository>
        <tags><![CDATA[cad,standard,reporting,quality,compliance]]></tags>
        <downloads>5814</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Coregistration" version="24.12" plugin_id="2510">
        <description><![CDATA[Image to image automatic co-registration processing Qgis plugin.]]></description>
        <about><![CDATA[Image to image co-registration processing plugin, converting the target image using a pixel alignment process based on a reference image. It generates a new raster file base on the target image with all properties from the reference image in order to have an image to image co-registration.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SMByC/Coregistration-Qgis-processing]]></homepage>
        <file_name>Coregistration.24.12.zip</file_name>
        <icon>/media/packages/2024/coregistration_Su8hMVe.svg</icon>
        <author_name><![CDATA[Xavier Corredor Llano, SMByC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Coregistration/version/24.12/download/</download_url>
        <uploaded_by><![CDATA[xaviercll]]></uploaded_by>
        <create_date>2021-10-07T06:48:50.730150+00:00</create_date>
        <update_date>2024-12-17T16:40:08.201362+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SMByC/Coregistration-Qgis-processing/issues]]></tracker>
        <repository><![CDATA[https://github.com/SMByC/Coregistration-Qgis-processing]]></repository>
        <tags><![CDATA[raster,processing,co-registration,arosics]]></tags>
        <downloads>11736</downloads>
        <average_vote>3.80754586362063</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Degree to DMS table converter" version="0.3" plugin_id="2512">
        <description><![CDATA[This processing plugin converts degree to DMS in table]]></description>
        <about><![CDATA[The plugin converts one or two columns containing angular values in degree format like FLOAT or DOUBLE to the DMS format. Example degree=81.76249166666666 =&gt; dms = 81°45′44.97″]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/inouterer/deg2dms]]></homepage>
        <file_name>deg_2_dms.0.3.zip</file_name>
        <icon>/media/packages/2022/deg2dms_uM7Mt1w.png</icon>
        <author_name><![CDATA[Ivan Lebedev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/deg_2_dms/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[inouterer]]></uploaded_by>
        <create_date>2021-10-08T06:44:55.232917+00:00</create_date>
        <update_date>2022-02-04T10:52:13.090517+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/inouterer/deg2dms]]></tracker>
        <repository><![CDATA[https://github.com/inouterer/deg2dms]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8862</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DMS to degree table converter" version="0.3" plugin_id="2513">
        <description><![CDATA[This processing plugin converts DMS to degree in table]]></description>
        <about><![CDATA[The plugin converts one or two columns containing angular values in DMS format to the degree format DOUBLE. Example dms = 81°45′44.97″ =&gt; degree=81.76249166666666]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/inouterer/deg2dms]]></homepage>
        <file_name>dms_2_deg.0.3.zip</file_name>
        <icon>/media/packages/2022/deg2dms.png</icon>
        <author_name><![CDATA[Ivan Lebedev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dms_2_deg/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[inouterer]]></uploaded_by>
        <create_date>2021-10-08T06:45:10.930638+00:00</create_date>
        <update_date>2022-02-04T10:51:56.129393+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/inouterer/deg2dms]]></tracker>
        <repository><![CDATA[https://github.com/inouterer/deg2dms]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>6889</downloads>
        <average_vote>3.332222592469177</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Morfofrac" version="0.2" plugin_id="2514">
        <description><![CDATA[Get the fractal dimension]]></description>
        <about><![CDATA[This program allows to apply the box counting technique to estimate the fractal dimension of a polygonal figure of one or more pieces, contained in the file on which the process will be run. The program returns 6 shapes with their respective mandatory files (shp, shx, dbf). The first shape contains the minimum square box that contains the analyzed figure. We call this level, N0. Subsequently, another five files are generated, the first of these (N1) divides the box of the first file into four equal squares. The next one (N2), a mosaic of 16 (4x4) squares, each one half the length of the previous ones, that fit inside these, and so on. After generating the files, the program delivers a list that indicates the number of squares in each file, and the number of occupied squares of each dimension inside the figure. You can estimate outside the QGIS program, the regression line whose slope is the dimension fractal. The largest square is l long. The second half of l, the third l / 2/2 and so on.

This complement was developed under the supervision of Dr. Luis Chías from GITS, Institute of Geography- UNAM. On whose page you can find more detailed information.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.gits.igg.unam.mx/portal/index.html]]></homepage>
        <file_name>fractaliadj.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Jair Arriaga, Tonatiuh Meaney.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fractaliadj/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[jarriaga]]></uploaded_by>
        <create_date>2021-10-11T15:34:52.787911+00:00</create_date>
        <update_date>2021-10-18T20:12:47.011692+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://www.gits.igg.unam.mx/portal/index.html]]></tracker>
        <repository><![CDATA[https://github.com/jarriaga-c/MorfoFrac.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2451</downloads>
        <average_vote>4.374453193350831</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WAPlugin" version="3.0.3" plugin_id="2518">
        <description><![CDATA[Provides access to all the WaPOR data and includes it in the QGIS canvas as another raster layer, providing WaPOR data easy access to the QGIS users. Moreover, the water accounting and productivity component of the plugin will help the water management, providing the opportunity of calculating water accounting indicators, through the creation of maps and reports.]]></description>
        <about><![CDATA[The water accounting and productivity plugin for QGIS platform provides access to all the WaPOR data and includes it in the QGIS canvas as another raster layer, providing WaPOR data easy access to the QGIS users. Moreover, the water accounting and productivity component of the plugin will help the water management, providing the opportunity of calculating water accounting indicators, through the creation of maps and reports.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/WAGIS/wap_plugin]]></homepage>
        <file_name>wap_plugin.3.0.3.zip</file_name>
        <icon>/media/packages/2024/icon_DwAyIDQ.png</icon>
        <author_name><![CDATA[WAGIS Tools &amp; Services]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wap_plugin/version/3.0.3/download/</download_url>
        <uploaded_by><![CDATA[fhfonsecaa]]></uploaded_by>
        <create_date>2021-10-14T19:02:23.600828+00:00</create_date>
        <update_date>2024-09-06T20:06:54.484552+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WAGIS/wap_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/WAGIS/wap_plugin/releases/tag/v3.0.3]]></repository>
        <tags><![CDATA[database,analysis]]></tags>
        <downloads>9373</downloads>
        <average_vote>4.789221619914741</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Heliware" version="0.1" plugin_id="2521">
        <description><![CDATA[Heliware Plugin]]></description>
        <about><![CDATA[This plugin exports  QGIS data directly onto the Heliware for further analysis and free 3D map creation purposed after signing free account on Heliware. Its also provide vector data quality control feature for qgis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://heliware.co.in]]></homepage>
        <file_name>heliware_plugin.0.1.zip</file_name>
        <icon>/media/packages/2021/heli_icon_QbEvhSh.png</icon>
        <author_name><![CDATA[Heliware]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/heliware_plugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[heliwareplugin]]></uploaded_by>
        <create_date>2021-10-23T19:23:47.565966+00:00</create_date>
        <update_date>2021-10-23T19:23:47.991867+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mukulsharma97/Heliware_Plugin.git]]></tracker>
        <repository><![CDATA[https://github.com/mukulsharma97/Heliware_Plugin.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>775</downloads>
        <average_vote>3.99800099950025</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qLidar" version="0.7" plugin_id="2524">
        <description><![CDATA[QGIS plugin to use point clouds from LIDAR or Photogrammetry]]></description>
        <about><![CDATA[QGIS plugin to use point clouds from LIDAR or Photogrammetry]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/UCLM-PAFyC/qLidar]]></homepage>
        <file_name>qLidar.0.7.zip</file_name>
        <icon>/media/packages/2022/icon_uLclFcK.png</icon>
        <author_name><![CDATA[David Hernandez Lopez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qLidar/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[daherlo]]></uploaded_by>
        <create_date>2021-10-28T08:32:45.603722+00:00</create_date>
        <update_date>2022-02-15T17:46:12.639349+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UCLM-PAFyC/qLidar]]></tracker>
        <repository><![CDATA[https://github.com/UCLM-PAFyC/qLidar]]></repository>
        <tags><![CDATA[3d,lidar,point cloud,photogrammetry]]></tags>
        <downloads>23093</downloads>
        <average_vote>3.7644844420916415</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Opendatasoft" version="1.1.0" plugin_id="2527">
        <description><![CDATA[Download datasets from Opendatasoft-powered data catalogs]]></description>
        <about><![CDATA[This plugin allows one to directly import, in the GeoJSON format, any dataset from a private or public Opendatasoft portal. It uses the web Explore API v2 to fetch the data, thus you&#x27;ll find this plugin in the web menu.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opendatasoft/qgis-ods-plugin]]></homepage>
        <file_name>Opendatasoft.1.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_UMj99Hz.png</icon>
        <author_name><![CDATA[Venceslas Roullier (Opendatasoft)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Opendatasoft/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[opendatasoft]]></uploaded_by>
        <create_date>2021-11-04T12:58:25.364971+00:00</create_date>
        <update_date>2023-07-26T14:10:23.631592+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opendatasoft/qgis-ods-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opendatasoft/qgis-ods-plugin]]></repository>
        <tags><![CDATA[ods,open data,datasets,opendatasoft]]></tags>
        <downloads>5951</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="iMOD" version="0.5.3" plugin_id="2528">
        <description><![CDATA[A plugin to visualize 4D geospatial data, to aid groundwater modellers]]></description>
        <about><![CDATA[This plugin aids exploring 4D geospatial data and links to the iMOD 3D viewer.
It is part of a larger software suite, named &quot;iMOD Suite&quot; (see homepage).
Mesh data can be used to store data with a time, z, y, and x dimension.
Currently the z-dimension is only scarcely supported by MDAL.
Therefore, for each vertical layer, we require a mesh dataset with the
following variables:

- &quot;{var}_layer_{nr}&quot;
- &quot;top_layer_{nr}&quot;
- &quot;bottom_layer_{nr}&quot;

To prepare your datasets for the iMOD QGIS plugin, [we advice using this utility
function in iMOD
Python](https://deltares.github.io/imod-python/api/generated/util/imod.util.mdal_compliant_ugrid2d.html#imod.util.mdal_compliant_ugrid2d).
If you&#x27;d like to prepare data yourself for the plugin, [follow this
example.](https://deltares.github.io/iMOD-Documentation/tutorial_wq.html#convert-output-data).
We expect to make this less specific in the future.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://deltares.github.io/iMOD-Documentation/]]></homepage>
        <file_name>imodqgis.0.5.3.zip</file_name>
        <icon>/media/packages/2025/icon_6qqpvbX.png</icon>
        <author_name><![CDATA[Deltares]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/imodqgis/version/0.5.3/download/</download_url>
        <uploaded_by><![CDATA[huite]]></uploaded_by>
        <create_date>2021-11-05T16:14:36.574103+00:00</create_date>
        <update_date>2025-10-14T18:10:01.243842+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Deltares/imod-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/Deltares/imod-qgis]]></repository>
        <tags><![CDATA[time,geology,time series,netcdf,3d,groundwater,timeseries,cross section,modflow,ugrid]]></tags>
        <downloads>11913</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PyLUSATQ" version="0.3.0" plugin_id="2531">
        <description><![CDATA[The plugin allows to perform Land Use Suitability Analysis following vector-based routines.]]></description>
        <about><![CDATA[This QGIS plugin is an interface to PyLUSAT, Python for Land Use Suitability Analysis. It integrates into the QGIS processing framework and provides a user interface, identical to all other QGIS tools, to all PyLUSAT (https://pylusat.readthedocs.io/) functions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/chjch/pylusat-qgis/]]></homepage>
        <file_name>pylusatq.0.3.0.zip</file_name>
        <icon>/media/packages/2023/icon_Ki4Yeo4.png</icon>
        <author_name><![CDATA[Changjie chen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pylusatq/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[chjch]]></uploaded_by>
        <create_date>2021-11-07T15:57:39.599744+00:00</create_date>
        <update_date>2023-11-16T05:06:00.346705+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chjch/pylusat-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/chjch/pylusat-qgis]]></repository>
        <tags><![CDATA[ahp,gis,planning,suitability analysis,planning support system,land use]]></tags>
        <downloads>5674</downloads>
        <average_vote>3.9997143061209917</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Speckle" version="2.20.2" plugin_id="2532">
        <description><![CDATA[Speckle 2.0 Connector for QGIS]]></description>
        <about><![CDATA[The Speckle QGIS plugin allows you send and receive data from multiple sources to/from several layers in your project, and store their geometry (as well as their contained metadata), in a Speckle server.

Don&#x27;t know what Speckle is? You&#x27;re not alone! Find out more at https://speckle.systems
You can start exploring by checking out this commit generated in QGIS from open web data sources (OSM, Google Satellite Tiles and Mapzen Terrain Tiles): https://app.speckle.systems/projects/5feae56049/models/1a95ec93ec

Requirements:
- Speckle Manager: You can download the installer here -&gt; https://speckle.guide/user/manager
- An account in a Speckle server. If you don&#x27;t have one, feel free to use our public server https://app.speckle.systems/
- An account added in the Accounts section of the Speckle Manager
- Windows and Mac compatible

If the requirements are not fullfilled, the plugin will load but will not have any functionality enabled.

If you&#x27;re having issues with this plugin, you can always reach us at https://speckle.community

Plugin is using the external libraries such as pyshp, scipy, triangle and specklepy, which will be installed automatically to a custom folder.

Data types currently not supported for sending:
- Layers depending on the server connection (WMS, WFC, WCS etc.)
- Scenes
- Mesh Vector layers
- Pointclouds]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.6</qgis_minimum_version>
        <qgis_maximum_version>3.43.0</qgis_maximum_version>
        <homepage><![CDATA[http://speckle.systems]]></homepage>
        <file_name>speckle-qgis.2.20.2.zip</file_name>
        <icon>/media/packages/2025/icon_d0hN20K.png</icon>
        <author_name><![CDATA[Speckle Systems]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/speckle-qgis/version/2.20.2/download/</download_url>
        <uploaded_by><![CDATA[speckle]]></uploaded_by>
        <create_date>2021-11-09T10:51:40.114944+00:00</create_date>
        <update_date>2025-03-06T14:23:33.033133+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/specklesystems/speckle-qgis/issues]]></tracker>
        <repository><![CDATA[http://github.com/specklesystems/speckle-qgis]]></repository>
        <tags><![CDATA[python,web,cad,cloud,server,3d,online,speckle,interoperability,collaboration,bim]]></tags>
        <downloads>21424</downloads>
        <average_vote>4.72960190265128</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ecosystem Respiration Tool" version="1.0" plugin_id="2533">
        <description><![CDATA[This plugin calculates ecosystem respiration from thermal images.]]></description>
        <about><![CDATA[This plugin calculates plant and ecosystem respiration from thermal images. Here is a tutorial: https://ecothermographylab.com/ecosystem-respiration/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FloEll/EcoRes]]></homepage>
        <file_name>ecores.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_kV30ils.png</icon>
        <author_name><![CDATA[Florian Ellsäßer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ecores/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[floell]]></uploaded_by>
        <create_date>2021-11-10T19:55:49.748905+00:00</create_date>
        <update_date>2025-03-10T19:40:54.920144+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FloEll/EcoRes/issues]]></tracker>
        <repository><![CDATA[https://github.com/FloEll/EcoRes]]></repository>
        <tags><![CDATA[lst,ecosystem,land surface temperatures,respiration,plant,thermal,leaf,ecores]]></tags>
        <downloads>3000</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Jaltol" version="1.2" plugin_id="2534">
        <description><![CDATA[a QGIS python plugin to make water balances for villages/watersheds in rural India. These plans help lead the user from data to decisions.]]></description>
        <about><![CDATA[Jaltol uses Google Earth Engine in the background and therefore users need a Google Earth Engine account, signup for this &lt;a href=&quot;https://signup.earthengine.google.com/&quot;&gt;here&lt;/a&gt;
P.S. The QGIS &#x27;Google Earth Engine&#x27; Plugin must also be installed prior to installing Jaltol, see more about this plugin &lt;a href=&quot;https://gee-community.github.io/qgis-earthengine-plugin/&quot;&gt;here&lt;/a&gt;
To receive the Training Manual for the plugin &amp; Sample Village and Watershed boundary files, please fill out the following&lt;a href=&quot;https://forms.gle/ksHdafTp2MMPoFbe6&quot;&gt;form&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.csei.org/jaltol]]></homepage>
        <file_name>jaltol-main.1.2.zip</file_name>
        <icon>/media/packages/2022/logo_wBSSm5N.png</icon>
        <author_name><![CDATA[CSEI-ATREE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/jaltol-main/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[jaltol]]></uploaded_by>
        <create_date>2021-11-11T09:41:10.089434+00:00</create_date>
        <update_date>2022-04-13T11:55:06.089075+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/atreebangalore/jaltol/issues]]></tracker>
        <repository><![CDATA[https://github.com/atreebangalore/jaltol]]></repository>
        <tags><![CDATA[water,google-earth-engine,water-balance]]></tags>
        <downloads>4038</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Servizi Ecosistemici Città di Torino" version="0.2" plugin_id="2535">
        <description><![CDATA[Calcolo dei Servizi Ecosistemici per la Città di Torino]]></description>
        <about><![CDATA[The plugin allows the valuation of ecosystem services, namely carbon storage, flood protection, air pollutants removal, rain inflitration, recreational activities, air temperature regulation, pollination, crops production, habitat quality. The valuation is referred to specific land use scenarios (eg actual conditions, future conditions) in order to assess trade-off and synergies to support land management policies in urban planning.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.comune.torino.it/torinosostenibile/]]></homepage>
        <file_name>servizi_ecosistemici.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Seacoop]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/servizi_ecosistemici/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[seacoop]]></uploaded_by>
        <create_date>2021-11-11T21:27:25.122924+00:00</create_date>
        <update_date>2021-11-13T13:16:59.350287+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SEAcoop/SE-Torino/issues]]></tracker>
        <repository><![CDATA[https://github.com/SEAcoop/SE-Torino]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1296</downloads>
        <average_vote>2.997002997002997</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Attributes of Irish and British Plants" version="1.0" plugin_id="2536">
        <description><![CDATA[Attributes of British and Irish Plants. A lookup table that gives information on Light, Moisture, Reaction, Nutrients, and Salinity for a specific plant.]]></description>
        <about><![CDATA[Attributes of British and Irish Plants]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/careyshan/attributes-of-british-and-irish-plants/-/tree/main/qgis_attributesOfBritishAndIrishPlants]]></homepage>
        <file_name>AttributesOfBritishAndIrishPlants.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Shane Carey]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AttributesOfBritishAndIrishPlants/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[careyshan]]></uploaded_by>
        <create_date>2021-11-12T13:45:58.732265+00:00</create_date>
        <update_date>2021-11-12T13:49:51.107488+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/careyshan/attributes-of-british-and-irish-plants/-/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/careyshan/attributes-of-british-and-irish-plants/-/tree/main/qgis_attributesOfBritishAndIrishPlants]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2177</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AtlasExportFunction" version="1.1" plugin_id="2539">
        <description><![CDATA[Expression function to export atlas images.]]></description>
        <about><![CDATA[This plugin adds a new expression function atlas_image() that renders an atlas page to an image and returns the binary content of the image.
Funded by: Kanton Solothurn]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/elpaso/qgis-atlas-export-function]]></homepage>
        <file_name>AtlasExportFunction.1.1.zip</file_name>
        <icon>/media/packages/2022/atlas_image_icon.svg</icon>
        <author_name><![CDATA[Alessandro Pasotti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AtlasExportFunction/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[elpaso]]></uploaded_by>
        <create_date>2021-11-19T08:26:20.571101+00:00</create_date>
        <update_date>2022-12-06T15:23:09.723322+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/elpaso/qgis-atlas-export-function/issues]]></tracker>
        <repository><![CDATA[https://github.com/elpaso/qgis-atlas-export-function]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>7377</downloads>
        <average_vote>3.285244965004999</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ThermalMetrics" version="1.0" plugin_id="2540">
        <description><![CDATA[This plugin helps to calculate basic metrics and indices from thermal images.]]></description>
        <about><![CDATA[This plugin helps to calculate several metrics and indices such as the Shannon Diversity Index and the Simpson Diversity Index from thermal images. It is especially useful for land, landscape and canopy surface temperature maps and images. However, it is still an experimental Plugin and especially the patch detection functions take quite long to calculate. It is a good idea to just grab a coffee and just wait until it is done calculating. Here is a tutorial: https://ecothermographylab.com/thermal-metrics/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FloEll/ThermalMetrics]]></homepage>
        <file_name>thermalmetrics.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_JTRi7ca.png</icon>
        <author_name><![CDATA[Florian Ellsäßer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/thermalmetrics/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[floell]]></uploaded_by>
        <create_date>2021-11-20T13:27:43.097616+00:00</create_date>
        <update_date>2025-03-10T19:37:20.289445+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FloEll/ThermalMetrics/issues]]></tracker>
        <repository><![CDATA[https://github.com/FloEll/ThermalMetrics]]></repository>
        <tags><![CDATA[ecology,raster,landscape,lst,temperature,metrics,land surface temperatures,thermal,simpson diversity index,shannon diversity index,patch richness,gini-simpson diversity index]]></tags>
        <downloads>3322</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Routing by wind forecast" version="1.2" plugin_id="2541">
        <description><![CDATA[sail routing by wind forecast]]></description>
        <about><![CDATA[A routing method to plan sailing based on wind speed and direction, and specific performances of a boat.
Built upon libweatherrout library: https://github.com/dakk/libweatherrouting]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enricofer/wind_forecast_routing]]></homepage>
        <file_name>wind_forecast_routing.1.2.zip</file_name>
        <icon>/media/packages/2022/icon_j4BdzsI.png</icon>
        <author_name><![CDATA[Enrico Ferreguti, Paolo Cavallini, Davide Gessa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wind_forecast_routing/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[enricofer]]></uploaded_by>
        <create_date>2021-11-22T10:56:42.687017+00:00</create_date>
        <update_date>2022-05-16T11:31:27.186846+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enricofer/wind_forecast_routing/issues]]></tracker>
        <repository><![CDATA[https://github.com/enricofer/wind_forecast_routing]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2366</downloads>
        <average_vote>3.142408227396086</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick Layer" version="0.3" plugin_id="2542">
        <description><![CDATA[Switch between the images of your choice using your favour keys how shortcuts.]]></description>
        <about><![CDATA[Digitalization of streams, water bodies, geological faults, lineaments and image interpretation, in general, requires many layers to decide what to do in a region and where to limit the edges of something. This plugin was developed to reduce this constant annoying work of turn off, turn on, active the vector layer and compare with a raster or other vector layer. I hope this plugin can help all of you with the GIS workflow and daily routines.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geojobueno/Internship/tree/main/plugins/quick_layer]]></homepage>
        <file_name>quick_layer.0.3.zip</file_name>
        <icon>/media/packages/2021/icon_OrPnVd1.png</icon>
        <author_name><![CDATA[João P. Bueno]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick_layer/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[jobueno]]></uploaded_by>
        <create_date>2021-11-23T06:06:35.616306+00:00</create_date>
        <update_date>2021-11-23T06:06:37.926475+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geojobueno/Internship/issues]]></tracker>
        <repository><![CDATA[https://github.com/geojobueno/Internship/tree/main/plugins/quick_layer]]></repository>
        <tags><![CDATA[python,analysis,temporal analysis,digitalization,shortcuts,facility]]></tags>
        <downloads>19428</downloads>
        <average_vote>4.4997750112494375</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="rosreestr-search-qgis-plugin" version="2.4" plugin_id="2543">
        <description><![CDATA[Rosreestr NSPD search qgis plugin]]></description>
        <about><![CDATA[Search to Public Cadastral Map of Rosreestr NSPD - https://nspd.gov.ru/map
Loading layers of the NSD
Поиск по Публичной кадастровой карте НСПД
Загрузка слоёв НСПД]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/matmatamat/rosreestr-search-qgis-plugin]]></homepage>
        <file_name>rosreestr-search-qgis-plugin-master.2.4.zip</file_name>
        <icon>/media/packages/2026/icon_gVHGeHz.png</icon>
        <author_name><![CDATA[matmatamat]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rosreestr-search-qgis-plugin-master/version/2.4/download/</download_url>
        <uploaded_by><![CDATA[matmatamat]]></uploaded_by>
        <create_date>2021-11-23T09:31:02.001951+00:00</create_date>
        <update_date>2026-03-19T16:25:57.036244+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/matmatamat/rosreestr-search-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/matmatamat/rosreestr-search-qgis-plugin]]></repository>
        <tags><![CDATA[web]]></tags>
        <downloads>12519</downloads>
        <average_vote>4.520486020739441</average_vote>
        <rating_votes>73</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Print Menu" version="1.3.0" plugin_id="2544">
        <description><![CDATA[Easy to print and handle PDF pages in one file]]></description>
        <about><![CDATA[Print plugin to create pdf file from qpt print layouts. &lt;a href=&quot;https://github.com/felixvons/Easy-Print-Menu/blob/main/manual/manual.md&quot;&gt;Manual here&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/felixvons/Easy-Print-Menu/blob/main/manual/manual.md]]></homepage>
        <file_name>easy_print_menu.1.3.0.zip</file_name>
        <icon>/media/packages/2024/icon_IEPpes7.png</icon>
        <author_name><![CDATA[Felix von Studsinske]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easy_print_menu/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[felixvons]]></uploaded_by>
        <create_date>2021-11-23T17:26:11.126451+00:00</create_date>
        <update_date>2024-05-30T09:06:11.995679+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/felixvons/Easy-Print-Menu/issues]]></tracker>
        <repository><![CDATA[https://github.com/felixvons/Easy-Print-Menu]]></repository>
        <tags><![CDATA[map,composer,atlas,canvas,export,print,pdf,plot,layout]]></tags>
        <downloads>15639</downloads>
        <average_vote>4.499678594386116</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Automatic numbering plugin" version="0.5" plugin_id="2545">
        <description><![CDATA[Automatic numbering of polygons]]></description>
        <about><![CDATA[This plugin allows polygons to be numbered using the max Y values and the total uniting field (optional). The numbering is made from the top object to the bottom. First, you need to open a vector polygonal layer and select it in the plugin&#x27;s list of layers. Then we select the necessary settings and start the process.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Alexzander721/numerator]]></homepage>
        <file_name>numerator.0.5.zip</file_name>
        <icon>/media/packages/2022/icon_O923IxO.png</icon>
        <author_name><![CDATA[Travin Alexzander]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/numerator/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[alexzander721]]></uploaded_by>
        <create_date>2021-11-25T05:50:24.597325+00:00</create_date>
        <update_date>2022-09-13T11:07:51.306959+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Alexzander721/numerator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Alexzander721/numerator]]></repository>
        <tags><![CDATA[attribute,database,polygon,auto]]></tags>
        <downloads>10974</downloads>
        <average_vote>4.388645075273596</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Project Packager" version="0.7.6" plugin_id="2546">
        <description><![CDATA[Gathers scattered data to make the project portable]]></description>
        <about><![CDATA[This plugin exports a portable project by copying data scattered on storage into a specified folder. When exporting, you can choose to copy the original files or store the data in a single GeoPackage. Note that if there is data that cannot be stored in GeoPackage, storage in GeoPackage will be disabled.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/ProjectPackager]]></homepage>
        <file_name>ProjectPackager.0.7.6.zip</file_name>
        <icon>/media/packages/2026/icon_NlChVsW.png</icon>
        <author_name><![CDATA[Tarot Osuji]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ProjectPackager/version/0.7.6/download/</download_url>
        <uploaded_by><![CDATA[tarot]]></uploaded_by>
        <create_date>2021-11-27T06:42:36.210667+00:00</create_date>
        <update_date>2026-03-15T14:21:37.344474+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tarot231/qgis-project-packager-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/tarot231/qgis-project-packager-plugin]]></repository>
        <tags><![CDATA[project,geopackage]]></tags>
        <downloads>47274</downloads>
        <average_vote>4.291621962271226</average_vote>
        <rating_votes>96</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HouseNumbering3" version="0.0.5" plugin_id="2547">
        <description><![CDATA[HouseNumbering3 plugin is a quick and handy way to input increasing field value for selected elements in the current/active layer.]]></description>
        <about><![CDATA[HouseNumbering3 plugin is a quick and handy way to input increasing field value for selected elements in the current/active layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcobra/HouseNumbering3]]></homepage>
        <file_name>HouseNumbering3.0.0.5.zip</file_name>
        <icon>/media/packages/2021/housenumbering_lSCzLZn.png</icon>
        <author_name><![CDATA[Marco Braida]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/HouseNumbering3/version/0.0.5/download/</download_url>
        <uploaded_by><![CDATA[marcobra]]></uploaded_by>
        <create_date>2021-11-28T13:18:12.485961+00:00</create_date>
        <update_date>2021-12-21T06:25:53.499633+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcobra/HouseNumbering3/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcobra/HouseNumbering3]]></repository>
        <tags><![CDATA[vector,attribute,update,database,field,edit,auto,numbering,increment]]></tags>
        <downloads>6139</downloads>
        <average_vote>4.181438051086265</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AutoLayoutTool" version="2.2" plugin_id="2549">
        <description><![CDATA[One-click print layout creator]]></description>
        <about><![CDATA[See help menu or &lt;a href=&#x27;https://github.com/sylsta/AutoLayoutTool/blob/main/help/AutoLayoutTool_visual_demo.gif&#x27;&gt;  this animated gif &lt;/a&gt;for visual help :)

This plugin creates in one click a map layout based on the extent of a QGIS project main window. It also adds a legend, a scale bar and a north arrow to the layout. The size of the map is calculated to occupy the maximum space on the page and the orientation of the page is determined by the extent of the map.

Cette extension permet de créer en un clic une mise en page basée sur l&#x27;étendue de la fenêtre principale d&#x27;un projet QGIS. Elle ajoute également une légende, une barre d&#x27;échelle et une flèche du nord à la mise en page. La taille de la carte est calculée pour occuper l&#x27;espace maximum sur la page et l&#x27;orientation de la page est déterminée par l&#x27;étendue de la carte.

该插件基于QGIS项目主窗口范围一键创建布局，同时它还为创建的布局添加了一个图例，比例尺和指北针。地图的尺寸以占据页面上的最大空间来计算的，而页面的方向由地图的范围所决定。

Partially translated into français, english, español, português, русский, العربية , 中文 (see below for credits - work in progress).

Translators: 闫兴成 yansuyang@hotmail.com (zh), Mohamed Saadi mosaadi7641@gmail.com (ar),  Sandrine Fréguin-Gresh (es), Ludivine Eloy (pt). Thanks guys !]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sylsta/AutoLayoutTool]]></homepage>
        <file_name>AutoLayoutTool.2.2.zip</file_name>
        <icon>/media/packages/2026/layout.png</icon>
        <author_name><![CDATA[Sylvain Théry - CNRS - UMR 5281 ART-Dev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AutoLayoutTool/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[sylther]]></uploaded_by>
        <create_date>2021-11-29T18:28:41.647818+00:00</create_date>
        <update_date>2026-03-22T16:05:03.870966+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sylsta/AutoLayoutTool/issues]]></tracker>
        <repository><![CDATA[https://github.com/sylsta/AutoLayoutTool]]></repository>
        <tags><![CDATA[layout,print manager,composeur d&#x27;impression,automation,mise en page,automatisation,composición de impresión,layout de impressão]]></tags>
        <downloads>32615</downloads>
        <average_vote>4.731591912392381</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lidar Campania" version="0.5" plugin_id="2550">
        <description><![CDATA[Import of lidar data (1x1) from the Campania region (Italy). Data are added directly from the website http://sit.cittametropolitana.na.it/]]></description>
        <about><![CDATA[Importazione dati lidar della Campania - Italia]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enzococca/lidar_campania]]></homepage>
        <file_name>lidar_campania.0.5.zip</file_name>
        <icon>/media/packages/2026/icon_C4X8sZ2.png</icon>
        <author_name><![CDATA[Enzo Cocca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lidar_campania/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[enzo]]></uploaded_by>
        <create_date>2021-11-29T19:07:02.910488+00:00</create_date>
        <update_date>2026-02-02T10:33:58.226919+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enzococca/lidar_campania]]></tracker>
        <repository><![CDATA[https://github.com/enzococca/lidar_campania]]></repository>
        <tags><![CDATA[python,raster,lidar,dsm,campania]]></tags>
        <downloads>4645</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QHadoop Tools" version="0.1" plugin_id="2552">
        <description><![CDATA[QHadoop Tools is a QGIS plugin for manage spatial data on Hadoop]]></description>
        <about><![CDATA[QGIS plugin to leverage the Hadoop framework to complete spatial analysis on spatial data. It was designed mainly for:&lt;ul&gt;&lt;li&gt;To copy from HDFS to local&lt;/li&gt;&lt;li&gt;To copy from local HDFS&lt;/li&gt;&lt;li&gt;To fix JSON to GEOJSON&lt;/li&gt;&lt;/ul&gt;&lt;br&gt;It requires http.client ($pip install http.client) and urllib.parse ($pip install urllib.parse) packages for HDFS access. &lt;br&gt;&lt;br&gt;&lt;b&gt;Citation&lt;/b&gt;&lt;br&gt;If you feel like &lt;b&gt;QHadoop Tools&lt;/b&gt; has made a contribution to your research, please consider citing it using: Ramírez, S. (2021). QHadoop Tools. QGIS 3 plugin version 0.1.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/salomoneinstein/QHadoopTools]]></homepage>
        <file_name>QHadoopTools.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Salomón Einstein]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QHadoopTools/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[salomoneinstein]]></uploaded_by>
        <create_date>2021-12-01T03:58:56.900328+00:00</create_date>
        <update_date>2021-12-01T03:58:58.416324+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/salomoneinstein/QHadoopTools/issues]]></tracker>
        <repository><![CDATA[https://github.com/salomoneinstein/QHadoopTools.git]]></repository>
        <tags><![CDATA[geojson,json,hdfs,hadoop]]></tags>
        <downloads>2182</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenADS" version="0.11.0" plugin_id="2554">
        <description><![CDATA[openADS est un logiciel web destiné à l&#x27;instruction dématérialisée des dossiers d&#x27;urbanisme. Cette extension fonctionne avec le module Lizmap https://github.com/3liz/lizmap-openads-module]]></description>
        <about><![CDATA[openADS est un logiciel web destiné à l&#x27;instruction dématérialisée des dossiers d&#x27;urbanisme. Cette extension fonctionne avec le module Lizmap https://github.com/3liz/lizmap-openads-module]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.3liz.org/qgis-openads-plugin/]]></homepage>
        <file_name>openads.0.11.0.zip</file_name>
        <icon>/media/packages/2025/icon_cY8as2u.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/openads/version/0.11.0/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2021-12-10T11:34:57.766758+00:00</create_date>
        <update_date>2025-09-12T16:22:24.232709+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/qgis-openads-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/qgis-openads-plugin]]></repository>
        <tags><![CDATA[lizmap,cadastre,foncier,france,urbanisme]]></tags>
        <downloads>2835</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="buildSeg" version="0.3" plugin_id="2560">
        <description><![CDATA[Deep learning building segmentation.]]></description>
        <about><![CDATA[Deep learning building segmentation base on ONNX.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/deepbands/buildseg]]></homepage>
        <file_name>buildseg.0.3.zip</file_name>
        <icon>/media/packages/2022/icon_WmFUzLv.png</icon>
        <author_name><![CDATA[deepbands (Yizhou Chen and Youssef Harby)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/buildseg/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[deepbands]]></uploaded_by>
        <create_date>2021-12-14T13:24:49.738082+00:00</create_date>
        <update_date>2022-06-05T07:14:59.472605+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/deepbands/buildseg/issues]]></tracker>
        <repository><![CDATA[https://github.com/deepbands/buildseg]]></repository>
        <tags><![CDATA[python,remote sensing,satellite,deep learning,building segmentation,deepbands]]></tags>
        <downloads>9727</downloads>
        <average_vote>3.8996100389961006</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kart" version="1.0.16" plugin_id="2561">
        <description><![CDATA[Work with Kart repositories directly from QGIS.]]></description>
        <about><![CDATA[Kart (https://kartproject.org) provides modern, open source, distributed version-control for geospatial and tabular datasets.

- Kart stores geospatial and tabular data in Git, providing version control at the row and cell level.

- Uses standard Git repositories and Git-like CLI commands. If you know Git, you&#x27;ll feel right at home with Kart.

- Provides repository working copies as GIS databases and files. Edit directly in QGIS and other common GIS software.

The Kart QGIS plugin requires you to install Kart from https://kartproject.org]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://kartproject.org]]></homepage>
        <file_name>kart.1.0.16.zip</file_name>
        <icon>/media/packages/2024/kart_R2DWiRg.png</icon>
        <author_name><![CDATA[Koordinates]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kart/version/1.0.16/download/</download_url>
        <uploaded_by><![CDATA[koordinates]]></uploaded_by>
        <create_date>2021-12-16T13:25:34.466141+00:00</create_date>
        <update_date>2024-12-06T04:23:50.561064+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/koordinates/kart-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/koordinates/kart-qgis-plugin]]></repository>
        <tags><![CDATA[versioning,data]]></tags>
        <downloads>22267</downloads>
        <average_vote>4.799808007679693</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGreenland Custom" version="0.2.0" plugin_id="2563">
        <description><![CDATA[No longer supported. Allowed download of individual QGreenland datasets.]]></description>
        <about><![CDATA[This plugin - no longer supported - allowed search and download of QGreenland data into QGIS. Please visit https://qgreenland.org for information on how to download the QGreenland Core package for QGIS instead.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nsidc/qgreenland-plugin#readme]]></homepage>
        <file_name>qgreenland.0.2.0.zip</file_name>
        <icon>/media/packages/2022/qgreenland-icon.png</icon>
        <author_name><![CDATA[Matteo Ghetta (Faunalia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgreenland/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[qgreenland]]></uploaded_by>
        <create_date>2021-12-24T17:45:20.225414+00:00</create_date>
        <update_date>2022-03-03T18:46:32.566081+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/nsidc/qgreenland-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/nsidc/qgreenland-plugin]]></repository>
        <tags><![CDATA[download,remote,greenland,dataset]]></tags>
        <downloads>2011</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenPlanetary Tile Loader" version="0.1" plugin_id="2565">
        <description><![CDATA[Load Mars and The Moon basemaps]]></description>
        <about><![CDATA[Easy access to basemaps of Mars and The Moon provided by OpenPlanetary.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/roberer/optileloader]]></homepage>
        <file_name>optileloader.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_tyluJ67.png</icon>
        <author_name><![CDATA[Rober J]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/optileloader/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[roberer]]></uploaded_by>
        <create_date>2021-12-30T13:07:14.320519+00:00</create_date>
        <update_date>2021-12-30T13:07:14.725448+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/roberer/optileloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/roberer/optileloader]]></repository>
        <tags><![CDATA[python,tiles,mars,basemaps,the moon,openplanetary]]></tags>
        <downloads>8780</downloads>
        <average_vote>4.2995700429957004</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Azimuth Measurement Map Tool" version="0.4" plugin_id="2567">
        <description><![CDATA[Measure azimuth and distance between two points]]></description>
        <about><![CDATA[* Choice of geodetic values on the WGS84 ellipsoid or cartesian coordinates.
* Snapping is supported.

This plugin adds a new map tool to the QGIS interactive measurements toolbox and to the measurements menu (View → Measure → Measure Azimuth).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/azimuth-measurement]]></homepage>
        <file_name>azimuth_distance_measurement.0.4.zip</file_name>
        <icon>/media/packages/2022/icon_K5gTg2X.png</icon>
        <author_name><![CDATA[Aaltronav s.r.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/azimuth_distance_measurement/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[aaltronav]]></uploaded_by>
        <create_date>2022-01-03T06:41:36.573491+00:00</create_date>
        <update_date>2022-01-18T20:56:45.456964+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/azimuth-measurement/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/azimuth-measurement/-/tree/devel]]></repository>
        <tags><![CDATA[python,measurement,azimuth,map tool]]></tags>
        <downloads>23099</downloads>
        <average_vote>3.9998400063997437</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="P1/90 Import" version="0.5" plugin_id="2569">
        <description><![CDATA[Read UKOOA P1/90 files]]></description>
        <about><![CDATA[Import UKOOA P1/90 files as a QGIS layer or layer group.

* Filter records by type (S, V, E, T, …)
* Partial import based on shotpoint range
* Import by geodetic or grid coordinates
* Import R (receiver) records
* Option to import shots as individual layers (useful when bringing in receivers)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/geophysics/p190-import]]></homepage>
        <file_name>p190_import.0.5.zip</file_name>
        <icon>/media/packages/2025/icon_NseoPI7.png</icon>
        <author_name><![CDATA[Aaltronav s.r.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/p190_import/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[aaltronav]]></uploaded_by>
        <create_date>2022-01-04T10:45:56.875192+00:00</create_date>
        <update_date>2025-06-08T14:15:11.779755+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/geophysics/p190-import/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/geophysics/p190-import/-/tree/devel]]></repository>
        <tags><![CDATA[python,seismic,p190,ukooa,p1]]></tags>
        <downloads>3571</downloads>
        <average_vote>4.374453193350831</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MonetDBConnector" version="1.0.0" plugin_id="2570">
        <description><![CDATA[MonetDBConnector]]></description>
        <about><![CDATA[A connector for MonetDB]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://monetdb.org]]></homepage>
        <file_name>MonetDB-QGIS.1.0.0.zip</file_name>
        <icon>/media/packages/2022/icon_YrGxGXX.png</icon>
        <author_name><![CDATA[MonetDBSolutions]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MonetDB-QGIS/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mitchellweg]]></uploaded_by>
        <create_date>2022-01-04T11:42:14.427112+00:00</create_date>
        <update_date>2022-01-04T11:42:14.686526+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MonetDBSolutions/MonetDB-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/MonetDBSolutions/MonetDB-QGIS]]></repository>
        <tags><![CDATA[python,database]]></tags>
        <downloads>842</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mobility Areas" version="1.3.1" plugin_id="2571">
        <description><![CDATA[This plugin build dynamic mobility areas based on origin destination data]]></description>
        <about><![CDATA[This plugin build dynamic mobility areas based on origin destination data]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/crocovert/mobilityareas]]></homepage>
        <file_name>mobilityareas.1.3.1.zip</file_name>
        <icon>/media/packages/2022/cerema.png</icon>
        <author_name><![CDATA[Patrick Palmier]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mobilityareas/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[crocovert]]></uploaded_by>
        <create_date>2022-01-05T16:14:54.514257+00:00</create_date>
        <update_date>2026-03-11T16:11:07.477486+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/crocovert/mobilityareas]]></tracker>
        <repository><![CDATA[https://github.com/crocovert/mobilityareas]]></repository>
        <tags><![CDATA[https://github.com/crocovert/mobilityareas]]></tags>
        <downloads>4814</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Magnetic Bearing Measurement Map Tool" version="0.6" plugin_id="2572">
        <description><![CDATA[Measure magnetic bearing and distance between two points]]></description>
        <about><![CDATA[This plugin adds a new map tool to the QGIS interactive measurements toolbox and to the measurements menu (View → Measure → Measure Magnetic Bearing).

* Toggle between geodetic (° T) and magnetic (° M) bearings.
* View declination at start point and model error estimation.
* Uses the WMM2025 model, valid for dates in the range 2025.0 to 2030.0.
* Temporal controller aware: uses the beginning of the current timeframe if the controller is active; otherwise it uses current time as the reference epoch.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/magnetic-bearing-measurement]]></homepage>
        <file_name>magnetic_bearing_measurement.0.6.zip</file_name>
        <icon>/media/packages/2025/icon_7NHAadd.png</icon>
        <author_name><![CDATA[Aaltronav s.r.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/magnetic_bearing_measurement/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[aaltronav]]></uploaded_by>
        <create_date>2022-01-05T18:39:44.000002+00:00</create_date>
        <update_date>2025-02-06T21:36:50.797458+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/magnetic-bearing-measurement/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/magnetic-bearing-measurement/-/tree/devel]]></repository>
        <tags><![CDATA[python,measurement,azimuth,magnetic,declination,map tool,wmm,wmm2025]]></tags>
        <downloads>10647</downloads>
        <average_vote>4.23044381201446</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AMIL-Assistente de Mapa Interativo Leaflet" version="1.1.1" plugin_id="2573">
        <description><![CDATA[Um assistente para criar mapas interativos no navegador utilizando Leaflet]]></description>
        <about><![CDATA[Cria mapas interativos que podem ser abertos no navegador através das camadas vetoriais disponíveis.
É possivel alterar cores e traços da simbologia, rótulos de atributos.
Ao final do processamento, o complemento gerará uma pasta com os arquivos necessários para exibição em qualquer navegador.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/givaldocesar/amil]]></homepage>
        <file_name>amil.1.1.1.zip</file_name>
        <icon>/media/packages/2022/icon_YzPEuKh.png</icon>
        <author_name><![CDATA[Givaldo Cesar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/amil/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[givaldocesar]]></uploaded_by>
        <create_date>2022-01-06T11:56:50.286676+00:00</create_date>
        <update_date>2022-01-14T17:22:28.366680+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/givaldocesar/amil]]></tracker>
        <repository><![CDATA[https://github.com/givaldocesar/amil]]></repository>
        <tags><![CDATA[python leaflet browser maps]]></tags>
        <downloads>11781</downloads>
        <average_vote>4.499437570303712</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CalcArea2" version="0.1" plugin_id="2574">
        <description><![CDATA[Show layer area and length when editing.]]></description>
        <about><![CDATA[When edit vector layer, the annotation is show with area and perimeter.
&lt;b&gt;The Tool work when the current layer is a polygon type and editable.&lt;/b&gt;

This plugin replace the CalcArea(deprecated) from nikolaus batlogg.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/calcarea2/wiki]]></homepage>
        <file_name>calcarea2.0.1.zip</file_name>
        <icon>/media/packages/2022/calcarea.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/calcarea2/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2022-01-06T18:19:05.030542+00:00</create_date>
        <update_date>2022-01-06T18:19:07.569045+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/calcarea2/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/calcarea2]]></repository>
        <tags><![CDATA[polygon layer,area and perimeter]]></tags>
        <downloads>30848</downloads>
        <average_vote>4.1426598733393645</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Merge Selected Features (Processing)" version="0.1" plugin_id="2575">
        <description><![CDATA[Merge selected features in a polygon vector layer]]></description>
        <about><![CDATA[This plugin allows you to merge selected features in a polygon vector layer. QGis already has a menu tool for this purpose, but this plugin performs the operation much faster, especially when the number of selected features is in the order of hundreds or thousands. Note: merging only takes place when there are two or more selected features. To run the plugin, go to Processing Toolbox -&gt; Merge Selected Features -&gt; Merge Selected Features Vers 0.1]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Almeida100/Merge-Selected-Features]]></homepage>
        <file_name>merge_selected_features.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Antonio Sobral Almeida]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/merge_selected_features/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[al150]]></uploaded_by>
        <create_date>2022-01-08T21:33:50.218758+00:00</create_date>
        <update_date>2022-01-08T21:33:51.885845+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Almeida100/Merge-Selected-Features/issues]]></tracker>
        <repository><![CDATA[https://github.com/Almeida100/Merge-Selected-Features]]></repository>
        <tags><![CDATA[vector,feature,shapefile,attribute,attribute edit,polygon,table,field,processing,layers]]></tags>
        <downloads>17980</downloads>
        <average_vote>4.136175628380528</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Report wizard" version="1.1.0" plugin_id="2577">
        <description><![CDATA[QGIS templating engine for odt and hypertext documents]]></description>
        <about><![CDATA[A plugin for odt and plain text reports generation.
The plugin makes use of python templating libraries (jinja2, secretary) for creating reports from data (variables, layers, features, layouts and other global settings) within the current QGIS project in ODT format or other text/hypertext format. More info on repository home page: https://github.com/enricofer/qgis_report_wizard]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enricofer/qgis_report_wizard]]></homepage>
        <file_name>qgis_report_wizard.1.1.0.zip</file_name>
        <icon>/media/packages/2022/icon_gBoRbeZ.png</icon>
        <author_name><![CDATA[Enrico Ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_report_wizard/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[enricofer]]></uploaded_by>
        <create_date>2022-01-10T11:11:28.523728+00:00</create_date>
        <update_date>2022-06-20T07:35:19.782982+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enricofer/qgis_report_wizard/issues]]></tracker>
        <repository><![CDATA[https://github.com/enricofer/qgis_report_wizard]]></repository>
        <tags><![CDATA[html,report,jinja2,odt,documents,secretary,markdown]]></tags>
        <downloads>5095</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Gazetteer Berlin/Brandenburg" version="1.0.1" plugin_id="2579">
        <description><![CDATA[A plug-in to search for addresses in Berlin/Brandenburg and cadastral data of Brandenburg]]></description>
        <about><![CDATA[The results can be viewed on the map as geometry. The plug-in uses official and daily updated data (https://search.geobasis-bb.de/) from the State Office for Land Surveying and Geoinformation Brandenburg (LGB).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcusmohr/qgs-gazetteer-bb]]></homepage>
        <file_name>qgs-gazetteer-bb.1.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_56HXUEj.png</icon>
        <author_name><![CDATA[Marcus Mohr]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgs-gazetteer-bb/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[marcusmohr]]></uploaded_by>
        <create_date>2022-01-11T13:56:08.911924+00:00</create_date>
        <update_date>2023-11-08T08:18:10.538231+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcusmohr/qgs-gazetteer-bb/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcusmohr/qgs-gazetteer-bb]]></repository>
        <tags><![CDATA[search,cadastre,adressen,gdi,flurstücke,addresses,kataster,suche,orte,bb,be,flur,gemarkung,berlin,brandenburg]]></tags>
        <downloads>5304</downloads>
        <average_vote>4.110654371736474</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS GeoNode" version="2.1.0" plugin_id="2580">
        <description><![CDATA[A QGIS plugin for integrating with modern GeoNode]]></description>
        <about><![CDATA[This plugin adds GeoNode client functionality to QGIS - search, load and manage GeoNode resources from inside QGIS.

Initial development has been commissioned by the by the Pacific Community (SPC), with funcding from the World Bank, and implemented by the Kartoza and GeoSolutions teams. The plugin is actively maintained and aims to keep up to date with changes in the GeoNode API.

Check the website for a user guide and more detail.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geonode.org/QGISGeoNodePlugin]]></homepage>
        <file_name>qgis_geonode.2.1.0.zip</file_name>
        <icon>/media/packages/2025/plugin-logo_0oFgawC.png</icon>
        <author_name><![CDATA[GeoNode Development Team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_geonode/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[giohappy]]></uploaded_by>
        <create_date>2022-01-12T22:23:00.473279+00:00</create_date>
        <update_date>2025-11-28T17:59:07.554478+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoNode/QGISGeoNodePlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoNode/QGISGeoNodePlugin]]></repository>
        <tags><![CDATA[wfs,wms,wcs,geonode]]></tags>
        <downloads>15026</downloads>
        <average_vote>4.368191147834324</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ICEtool" version="2025.6.0" plugin_id="2582">
        <description><![CDATA[Estimation of urban heat island]]></description>
        <about><![CDATA[Easy but real physical estimation of ground temperatures to help treat urban heat islands and create better urban designs.
ICEtool allows you to make and highlight the urban design choices (e.g. vegetation, materials) that reduce urban heat island phenomena.
ICEtool includes UMEP shadow generator, thanks to all UMEP plugin contributors for all their work!
To get started with ICEtool, check that QGIS Processing Toolbox is displayed (CTRL+ALT+T) and read the user manual in the Help menu.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Art-Ev/ICEtool]]></homepage>
        <file_name>ICEtool.2025.6.0.zip</file_name>
        <icon>/media/packages/2025/icon_tOj9l9m.png</icon>
        <author_name><![CDATA[Arthur Evrard]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ICEtool/version/2025.6.0/download/</download_url>
        <uploaded_by><![CDATA[arthev]]></uploaded_by>
        <create_date>2022-01-19T07:24:10.202251+00:00</create_date>
        <update_date>2025-12-16T08:28:18.897494+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Art-Ev/ICEtool/issues]]></tracker>
        <repository><![CDATA[https://github.com/Art-Ev/ICEtool]]></repository>
        <tags><![CDATA[uhi,icu]]></tags>
        <downloads>10192</downloads>
        <average_vote>4.6921873798107745</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="STAC API Browser" version="1.1.2" plugin_id="2583">
        <description><![CDATA[QGIS plugin for reading STAC API catalogs]]></description>
        <about><![CDATA[Adds functionality to search, load and manage STAC API resources inside QGIS.
Sponsored by Microsoft.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://stac-utils.github.io/qgis-stac-plugin]]></homepage>
        <file_name>qgis_stac.1.1.2.zip</file_name>
        <icon>/media/packages/2024/icon_S186oT0.png</icon>
        <author_name><![CDATA[Kartoza]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_stac/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[samtwesa]]></uploaded_by>
        <create_date>2022-01-20T08:36:54.261206+00:00</create_date>
        <update_date>2024-04-18T02:30:59.648739+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/stac-utils/qgis-stac-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/stac-utils/qgis-stac-plugin]]></repository>
        <tags><![CDATA[raster,web,stac,cog]]></tags>
        <downloads>46913</downloads>
        <average_vote>4.380882843129474</average_vote>
        <rating_votes>63</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoEASIN" version="2.0" plugin_id="2587">
        <description><![CDATA[Web services downloader and tools to analyze the European Alien Species Information Network data (EASIN).]]></description>
        <about><![CDATA[Data downloader from  &lt;a href=&quot;https://easin.jrc.ec.europa.eu/easin/Services/RestfulWebService&quot;&gt;EASIN Geospatial Web Service&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoinnova.org/plugin/geoeasin]]></homepage>
        <file_name>geoeasin.2.0.zip</file_name>
        <icon>/media/packages/2023/icon_jHCWEc9.png</icon>
        <author_name><![CDATA[Patricio Soriano (Geoinnova, python development), Roberto Matellanes (GIS&amp;Beers, processing tools)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoeasin/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[geoinnova]]></uploaded_by>
        <create_date>2022-01-21T16:25:52.053002+00:00</create_date>
        <update_date>2023-09-04T12:31:30.387331+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoinnova/geoeasin]]></tracker>
        <repository><![CDATA[https://github.com/geoinnova/geoeasin]]></repository>
        <tags><![CDATA[ecology,species,biodiversity,download,open data,web services,easin,eu,european alien species]]></tags>
        <downloads>3171</downloads>
        <average_vote>3.888456838129097</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DataGrandEst" version="2.3" plugin_id="2588">
        <description><![CDATA[Plugin pour QGIS 3 fournissant un accès simple aux flux de géographiques WMS et WFS de DataGrandEst et d&#x27;autres ressources géographiques utiles en région Grand Est.]]></description>
        <about><![CDATA[Plugin for QGIS 3 providing simple access to WMS and WFS geographic flows from DataGrandEst and other useful geographic resources in the Grand Est region.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geograndest/qgis-plugin/wiki]]></homepage>
        <file_name>datagrandest.2.3.zip</file_name>
        <icon>/media/packages/2025/datagrandest.png</icon>
        <author_name><![CDATA[Région Hauts-de-France, Neogeo Technologies, Benjamin Chartier, UMR LETG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/datagrandest/version/2.3/download/</download_url>
        <uploaded_by><![CDATA[bchartier]]></uploaded_by>
        <create_date>2022-01-26T08:27:13.305849+00:00</create_date>
        <update_date>2025-04-03T07:26:57.612367+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geograndest/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/geograndest/qgis-plugin]]></repository>
        <tags><![CDATA[géograndest,grandest,geograndest,grand est,datagrandest]]></tags>
        <downloads>20961</downloads>
        <average_vote>4.777246972558605</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QMapshaper" version="0.8.2" plugin_id="2589">
        <description><![CDATA[This allows running mapshaper tool (need to be locally installed) as a processing tool or using interactive GUI tool.]]></description>
        <about><![CDATA[This allows running mapshaper tool (need to be locally installed) as a processing tool or using interactive GUI tool.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://jancaha.github.io/qgis-qmapshaper/]]></homepage>
        <file_name>qmapshaper.0.8.2.zip</file_name>
        <icon>/media/packages/2023/qmapshaper.png</icon>
        <author_name><![CDATA[Jan Caha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qmapshaper/version/0.8.2/download/</download_url>
        <uploaded_by><![CDATA[cahik]]></uploaded_by>
        <create_date>2022-02-02T15:15:20.528971+00:00</create_date>
        <update_date>2023-08-08T18:20:13.172877+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JanCaha/qgis-qmapshaper/issues]]></tracker>
        <repository><![CDATA[https://github.com/JanCaha/qgis-qmapshaper]]></repository>
        <tags><![CDATA[vector,generalization,simplication]]></tags>
        <downloads>11073</downloads>
        <average_vote>3.3156149676332825</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Flurstücksfinder NRW" version="1.5.1" plugin_id="2592">
        <description><![CDATA[Find and display parcels (German State of North Rhine-Westphalia) - Flurstücksuche in NRW]]></description>
        <about><![CDATA[Remark:
The plugin uses data which covers only NRW/Germany. That&#x27;s why the plugin is only available in German language.

Dieses Plugin bietet die Möglichkeit, Flurstücke innerhalb von Nordrhein-Westfalen zu finden.
Datengrundlage sind „WFS NW ALKIS Vereinfacht“ von Geobasis NRW und die KRZN-WFS &quot;ALKIS Vereinfacht&quot;.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kreis-viersen/flurstuecksfinder-nrw]]></homepage>
        <file_name>flurstuecksfinder-nrw.1.5.1.zip</file_name>
        <icon>/media/packages/2026/finder_ZeQ0BN2.png</icon>
        <author_name><![CDATA[Kreis Viersen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flurstuecksfinder-nrw/version/1.5.1/download/</download_url>
        <uploaded_by><![CDATA[kreisviersen]]></uploaded_by>
        <create_date>2022-02-04T07:59:46.176222+00:00</create_date>
        <update_date>2026-03-03T08:47:38.283706+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kreis-viersen/flurstuecksfinder-nrw/issues]]></tracker>
        <repository><![CDATA[https://github.com/kreis-viersen/flurstuecksfinder-nrw]]></repository>
        <tags><![CDATA[search,cadastre,alkis,kataster,suche,nrw,flurstuecke,flurstueck]]></tags>
        <downloads>15746</downloads>
        <average_vote>4.799840005333156</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenTopography DEM Downloader" version="4.0" plugin_id="2593">
        <description><![CDATA[This plugin downloads DEM from OpenTopography.org]]></description>
        <about><![CDATA[This plugin will download DEMs from OpenTopography.org for user defined extent only

DEMs:
1. SRTM 90m
2. SRTM 30m
3. ALOS World 3D 30m
4. SRTM GL1 Ellipsoidal 30m
5. Global Bathymetry SRTM15+ V2.1
6. Copernicus Global DSM 30m
7. Copernicus Global DSM 90m
8. NASADEM Global DEM
9. Europe DTM 30m
10. GEDI L3 Grid 1km
11. GEBCOIceTopo Bathymetry 500m
12. GEBCOSubIceTopo Bathymetry 500m

** Get an API Key from OpenTopography.org to download the DEMs]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/knwin/OpenTopography-DEM-Downloader-qgis-plugin]]></homepage>
        <file_name>OpenTopography-DEM-Downloader.4.0.zip</file_name>
        <icon>/media/packages/2026/icon_UCp6dXD.png</icon>
        <author_name><![CDATA[Kyaw Naing Win]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OpenTopography-DEM-Downloader/version/4.0/download/</download_url>
        <uploaded_by><![CDATA[knwin]]></uploaded_by>
        <create_date>2022-02-08T14:26:01.323308+00:00</create_date>
        <update_date>2026-03-12T10:38:05.857038+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/knwin/OpenTopography-DEM-Downloader-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/knwin/OpenTopography-DEM-Downloader-qgis-plugin]]></repository>
        <tags><![CDATA[dem,opentopography]]></tags>
        <downloads>356139</downloads>
        <average_vote>4.378143902279156</average_vote>
        <rating_votes>595</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Divider" version="1.6.1" plugin_id="2594">
        <description><![CDATA[This plugin divides raster into equal sized parts.]]></description>
        <about><![CDATA[This plugin divides raster into equal sized chunks depend on desired size.The plugin consists of two section. In first section, footprints of output chunks are generated. In second section, raster is splitted based on footprints file. Three types of output formats are available (GeoTiff, VRT, Numpy).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_raster_divider_plugin]]></homepage>
        <file_name>raster_divider.1.6.1.zip</file_name>
        <icon>/media/packages/2026/icon_bjqG0bx.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raster_divider/version/1.6.1/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2022-02-11T07:18:28.756041+00:00</create_date>
        <update_date>2026-01-06T14:46:36.851440+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_raster_divider_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_raster_divider_plugin/tree/main/raster_divider]]></repository>
        <tags><![CDATA[python,raster,split,divide]]></tags>
        <downloads>20177</downloads>
        <average_vote>3.733084461035931</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cluster Analysis" version="1.0.1" plugin_id="2595">
        <description><![CDATA[Perform attribute based clustering on vector layers]]></description>
        <about><![CDATA[This plugin allows to perform attribute based clustering (Agglomerative Hierarchical and K-Means) on vector layers, with functions for feature selection and clustering evaluation. The plugin requires the libraries scikit_learn, numpy, and pandas (see the repository for installation guide and other documentaion)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/folini96/Cluster-Analysis-plugin]]></homepage>
        <file_name>Cluster-Analysis-plugin-main.1.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_w5m8EIL.png</icon>
        <author_name><![CDATA[Andrea Folini]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Cluster-Analysis-plugin-main/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[andreafolini]]></uploaded_by>
        <create_date>2022-02-11T13:39:55.373892+00:00</create_date>
        <update_date>2022-06-21T17:16:13.903622+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/folini96/Cluster-Analysis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/folini96/Cluster-Analysis-plugin]]></repository>
        <tags><![CDATA[vector,python,clustering,feature selection,kmeans]]></tags>
        <downloads>16985</downloads>
        <average_vote>4.4997187675770265</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layout Panel" version="0.3" plugin_id="2596">
        <description><![CDATA[Add a panel to manage layouts directly from QGIS main window]]></description>
        <about><![CDATA[This plugin adds a new panel to manage print layouts directly from QGIS main window. It allows to quickly open, create, rename, delete and filter print layouts without having to open the layout manager. It supports layout templates and also makes it possible to batch export one or multiple layouts to PDF, Image or SVG formats without having to open each print layout.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jbp35/layout_panel]]></homepage>
        <file_name>layout_panel-main.0.3.zip</file_name>
        <icon>/media/packages/2022/icon_Iu6G2oA.png</icon>
        <author_name><![CDATA[Atelier JBP]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layout_panel-main/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[jbpeter]]></uploaded_by>
        <create_date>2022-02-11T16:48:47.706401+00:00</create_date>
        <update_date>2022-09-16T12:44:12.129668+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jbp35/layout_panel/issues]]></tracker>
        <repository><![CDATA[https://github.com/jbp35/layout_panel]]></repository>
        <tags><![CDATA[export,print,template,panel,batch,layout,manager,composition]]></tags>
        <downloads>13405</downloads>
        <average_vote>2.8569387900864225</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cadastral Classifier" version="3.5" plugin_id="2597">
        <description><![CDATA[Clasificación parcelaria de municipios españoles utilizando información catastral.
Parcel classification of Spanish municipalities using cadastral information.]]></description>
        <about><![CDATA[Cadastral Classifier is a plugin to classify urban parcels of any Spanish municipality (excluding Navarra and País Vasco) using cadastral information (obtainable via official channels).
Clasificador Catastral es un complemento para la clasificación del parcelario de cualquier municipio español (excluyendo Navarra y País Vasco) utilizando la información de la Dirección General del Catastro.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://transurban-uah.github.io/Cadastral_Classifier/]]></homepage>
        <file_name>Cadastral_Classifier.3.5.zip</file_name>
        <icon>/media/packages/2025/icon.jpg</icon>
        <author_name><![CDATA[Nikolai Shurupov (Universidad de Alcalá de Henares)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Cadastral_Classifier/version/3.5/download/</download_url>
        <uploaded_by><![CDATA[nikoshur]]></uploaded_by>
        <create_date>2022-02-11T17:17:40.435280+00:00</create_date>
        <update_date>2025-03-21T00:48:43.031452+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TransUrban-UAH/Cadastral_Classifier/]]></tracker>
        <repository><![CDATA[https://github.com/TransUrban-UAH/Cadastral_Classifier/]]></repository>
        <tags><![CDATA[spain,classification,cadastre,catastro,españa,parcel,clasificacion]]></tags>
        <downloads>24169</downloads>
        <average_vote>4.388645075273596</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Floodplain Inundation Calculator" version="0.1" plugin_id="2600">
        <description><![CDATA[This plugin calculates inundation durations in floodplains.]]></description>
        <about><![CDATA[The frequency and duration of inundations in floodplains is of great interest as it affects habitat provision and biodiversity as well as various biogeochemical soil processes maintaining water quality. The development of the Inundation Calculator is intended to enable a simple approximation of yearly average flooding durations in floodplains by using river water levels and the floodplain topography. We are often confronted with the problem that no spatially and/or temporally high-resolution remote sensing data or open source 3D flooding model are available. So we need to find easy solutions which can be applied by everyone, although these remain rough approximations and users must be aware of application limitations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/usk92/Floodplain-Inundation-Calculator]]></homepage>
        <file_name>inundation_calculator.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_CNIkvKE.png</icon>
        <author_name><![CDATA[Ute Susanne Kaden]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/inundation_calculator/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[usk]]></uploaded_by>
        <create_date>2022-02-15T22:35:49.527750+00:00</create_date>
        <update_date>2022-02-15T22:35:49.696571+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/usk92/Floodplain-Inundation-Calculator]]></tracker>
        <repository><![CDATA[https://github.com/usk92/Floodplain-Inundation-Calculator]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>10304</downloads>
        <average_vote>4.649767511624418</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PrgDig" version="1.3" plugin_id="2601">
        <description><![CDATA[Land usage digital planning validation system for Provincia Autonoma di Trento - Servizio Urbanistica]]></description>
        <about><![CDATA[Automatic validation of land usage digital planning. Only needed if you are designing land digital planning for Provincia Autonoma di Trento - Servizio Urbanistica]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ProvinciaAutonomaTrento/PRGDIG-plugin]]></homepage>
        <file_name>prg_dig.1.3.zip</file_name>
        <icon>/media/packages/2023/icon_SRL74qm.png</icon>
        <author_name><![CDATA[Massimo Endrighi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/prg_dig/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[endmax]]></uploaded_by>
        <create_date>2022-02-16T14:57:46.814148+00:00</create_date>
        <update_date>2023-07-20T14:31:03.388664+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ProvinciaAutonomaTrento/PRGDIG-plugin]]></tracker>
        <repository><![CDATA[https://github.com/ProvinciaAutonomaTrento/PRGDIG-plugin]]></repository>
        <tags><![CDATA[prg,pat,provincia autonoma trento,servizio urbanistica]]></tags>
        <downloads>2985</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoPortal.rlp Metadata Search" version="0.3.2" plugin_id="2602">
        <description><![CDATA[GeoPortal.rlp metadata search module]]></description>
        <about><![CDATA[This plugin uses the REST search interface of GeoPortal.rlp for searching spatial datasets and services. It has also an option to search in remote CSW-based catalogues (e.g. in the INSPIRE Geoportal Catalogue and the german Geodatenkatalog.DE). WMS/WFS and OGC API Features interfaces can direct be loaded into the QGIS Browser.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geoportal.rlp.de]]></homepage>
        <file_name>gprlp_metadata_search.0.3.2.zip</file_name>
        <icon>/media/packages/2022/icon_4hKke27.png</icon>
        <author_name><![CDATA[Armin Retterath]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gprlp_metadata_search/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[armin11]]></uploaded_by>
        <create_date>2022-02-17T00:51:39.818464+00:00</create_date>
        <update_date>2024-03-02T12:40:39.411964+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mrmap-community/gprlp_metadata_search/issues]]></tracker>
        <repository><![CDATA[https://github.com/mrmap-community/gprlp_metadata_search]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8348</downloads>
        <average_vote>3.66625930452172</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Noise Prediction" version="1.1" plugin_id="2605">
        <description><![CDATA[This plugin estimates the noisel level by distances and barriers as BS:5228 standard.]]></description>
        <about><![CDATA[Noise Estimation From Point Source Algorithm British Standard - BS 5228-1:2009+A1:2014 Factors For consideration 1) the sound power outputs of processes and plant; 2) the periods of operation of processes and plant; 3) the distances from sources to receiver; 4) the presence of screening by barriers; 5) the reflection of sound; 6) soft ground attenuation. Other factors such as meteorological conditions (particularly wind speed and direction) and atmospheric absorption can also influence the level of noise received. The estimation of the effects of these factors is complicated, not least because of interaction between these factors, and is beyond the scope of this standard.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geohtet/Noise-Prediction-Algorithm/blob/main/README.md]]></homepage>
        <file_name>noise_prediction.1.1.zip</file_name>
        <icon>/media/packages/2022/logo_TwMV9Yp.png</icon>
        <author_name><![CDATA[Htet Arkar Soe]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/noise_prediction/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[htetarkarsoe]]></uploaded_by>
        <create_date>2022-02-19T21:15:58.364884+00:00</create_date>
        <update_date>2022-03-14T09:51:10.928157+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geohtet/Noise-Prediction-Algorithm/issues]]></tracker>
        <repository><![CDATA[https://github.com/geohtet/Noise-Prediction-Algorithm]]></repository>
        <tags><![CDATA[python,noise,bs5228]]></tags>
        <downloads>4176</downloads>
        <average_vote>4.545316808581559</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dissolve Adjacent Polygons" version="0.1" plugin_id="2606">
        <description><![CDATA[This plugin dissolves polygons adjacent to other polygons, according to user-chosen options.]]></description>
        <about><![CDATA[The plugin dissolves polygons whose area falls below a user-defined threshold. The dissolution is carried out into adjacent polygons of larger or smaller area, according to the option chosen by the user. The user can also choose an adjacency by common largest border.To run the plugin once installed, go to Processing Toolbox -&gt; Dissolve Adjacent Polygons.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Almeida100/Dissolve-Adjacent-Polygons]]></homepage>
        <file_name>dissolve_adjacent_polygons.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Antonio Sobral Almeida]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dissolve_adjacent_polygons/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[al150]]></uploaded_by>
        <create_date>2022-02-21T00:26:37.745123+00:00</create_date>
        <update_date>2022-02-21T00:26:38.695594+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Almeida100/Dissolve-Adjacent-Polygons/issues]]></tracker>
        <repository><![CDATA[https://github.com/Almeida100/Dissolve-Adjacent-Polygons]]></repository>
        <tags><![CDATA[vector,shapefile,processing]]></tags>
        <downloads>7676</downloads>
        <average_vote>4.332972252312308</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Import .3d file" version="1.3.1" plugin_id="2607">
        <description><![CDATA[Import features from survex .3d files]]></description>
        <about><![CDATA[Import features into vector layers from a survex .3d file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/patrickbwarren/qgis3-survex-import]]></homepage>
        <file_name>survex_import.1.3.1.zip</file_name>
        <icon>/media/packages/2023/icon_YJGCwJ5.png</icon>
        <author_name><![CDATA[Patrick B Warren]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/survex_import/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[patrickbwarren]]></uploaded_by>
        <create_date>2022-02-21T10:37:27.684350+00:00</create_date>
        <update_date>2023-10-17T12:36:12.364844+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/patrickbwarren/qgis3-survex-import]]></tracker>
        <repository><![CDATA[https://github.com/patrickbwarren/qgis3-survex-import]]></repository>
        <tags><![CDATA[python,survex]]></tags>
        <downloads>5783</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Convert Heights" version="0.2" plugin_id="2608">
        <description><![CDATA[This plugin allows to calculate EGM96 and EGM2008 elevations in Poland based on KRON86 or EVRF2007 normal heights.]]></description>
        <about><![CDATA[This plugin allows to calculate EGM96 and EGM2008 elevations in Poland based on KRON86 or EVRF2007 normal heights. Created for the needs of civil aviation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://wutwaw-my.sharepoint.com/:f:/g/personal/01033687_pw_edu_pl/ErcPfsWS0axHpDIgq_CBZ80BFeCtlDDxe-t-4fsQbRU7UA?e=2O9zeA]]></homepage>
        <file_name>convert_heights.0.2.zip</file_name>
        <icon>/media/packages/2022/icon_L8jbW8E.png</icon>
        <author_name><![CDATA[Warsaw University of Technology]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/convert_heights/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[vald]]></uploaded_by>
        <create_date>2022-02-21T21:45:39.112771+00:00</create_date>
        <update_date>2022-02-21T21:45:40.331552+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://wutwaw-my.sharepoint.com/:f:/g/personal/01033687_pw_edu_pl/ErcPfsWS0axHpDIgq_CBZ80BFeCtlDDxe-t-4fsQbRU7UA?e=2O9zeA]]></tracker>
        <repository><![CDATA[https://wutwaw-my.sharepoint.com/:f:/g/personal/01033687_pw_edu_pl/ErcPfsWS0axHpDIgq_CBZ80BFeCtlDDxe-t-4fsQbRU7UA?e=2O9zeA]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3103</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Encoded Polyline" version="0.9.1" plugin_id="2609">
        <description><![CDATA[Load encoded polyline into QGIS.]]></description>
        <about><![CDATA[Polyline encoding is a lossy compression algorithm that allows you to store a series of coordinates as a single string. This plugin helps you to load and visualize an encoded polyline on QGIS.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ismailsunni/qgis-encoded-polyline]]></homepage>
        <file_name>encoded-polyline.0.9.1.zip</file_name>
        <icon>/media/packages/2022/encodedPolyline_yzrbf1m.svg</icon>
        <author_name><![CDATA[Ismail Sunni]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/encoded-polyline/version/0.9.1/download/</download_url>
        <uploaded_by><![CDATA[ismailsunni]]></uploaded_by>
        <create_date>2022-02-22T08:21:48.224859+00:00</create_date>
        <update_date>2022-09-26T10:05:23.751148+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ismailsunni/qgis-encoded-polyline]]></tracker>
        <repository><![CDATA[https://github.com/ismailsunni/qgis-encoded-polyline]]></repository>
        <tags><![CDATA[polyline,encoded polyline]]></tags>
        <downloads>2439</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SIGPAC Downloader" version="0.5" plugin_id="2610">
        <description><![CDATA[Plugin to download SIGPAC (Spanish Agricultural Plots Information System) parcels]]></description>
        <about><![CDATA[The Agricultural Plot Geographic Information System (SIGPAC) enables the geographic identification of plots
declared by farmers and livestock farmers in Spain. This plugin allows the user to easily download the plots of every
municipality. Prior  to that, the Terms&amp;Conditions of the web page must be accepted and a download directory
must be selected.
The SIGPAC Downloader uses the ATOM service according to the Inspire Directive.
It was promoted by Fundación CETEMAS in order to facilitate a practical tool to multiple potential users from
forest and agricultural sector.
&lt;br&gt;Video tutorial: &lt;a href=&#x27;https://www.youtube.com/watch?v=98nwmIAHLmQ&#x27;&gt;https://www.youtube.com/watch?v=98nwmIAHLmQ&lt;/a&gt;&lt;br&gt;
Special Thanks to &lt;a href=&quot;https://github.com/fpuga&quot;&gt;Francisco Puga&lt;/a&gt; from &lt;a href=&quot;https://icarto.es/&quot;&gt;iCarto&lt;/a&gt; for providing the etl code!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geomatico/qgis-sigpac]]></homepage>
        <file_name>sigpac_downloader.0.5.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Geomatico]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sigpac_downloader/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[geomatico]]></uploaded_by>
        <create_date>2022-02-22T12:03:13.936804+00:00</create_date>
        <update_date>2025-03-13T10:55:40.723572+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geomatico/qgis-sigpac/issues]]></tracker>
        <repository><![CDATA[https://github.com/geomatico/qgis-sigpac]]></repository>
        <tags><![CDATA[python,agriculture,sigpac]]></tags>
        <downloads>23059</downloads>
        <average_vote>4.391113429850876</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tree Belt Designer" version="1.1.1" plugin_id="2612">
        <description><![CDATA[Design tree and shrub belts]]></description>
        <about><![CDATA[This plugin provides knowledge for design the future tree belt network in terms of the estimation of potential insolation within agricultural landscape. The design process bases on the user library containing attributes of tree and shrub species. The process is also supported by the soil type data, the parcel-based layout, and the digital surface model (DSM). The outcome provides the modified DSM extended with user’s tree belt project. Based on the modified DSM, the potential insolation and contrary to insolation - the shading effect caused by tree belt network is possible to estimate using plugins of different GIS software. Moreover, the outcome allows to estimate the insolation/shading effect within another arrangement of tree and shrub groups or single individuals planned by the user in his project.&lt;br&gt;&lt;br&gt;Icons from https://www.flaticon.com/authors/dinosoftlabs]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/skowronskij/tree-belt-designer]]></homepage>
        <file_name>tree-belt-designer.1.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Jakub Skowroński, Maciej Nowak, Jakub Nowosad]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tree-belt-designer/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[skowronskij]]></uploaded_by>
        <create_date>2022-02-22T23:06:08.138938+00:00</create_date>
        <update_date>2022-11-29T00:50:25.761454+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/skowronskij/tree-belt-designer/issues]]></tracker>
        <repository><![CDATA[https://github.com/skowronskij/tree-belt-designer]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2641</downloads>
        <average_vote>4.332851905343851</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Modzy" version="0.21" plugin_id="2613">
        <description><![CDATA[This plugin provides seamless access to Modzy&#x27;s ML, DL and AI models.
Please be sure to install the Modzy SDK to QGIS:
- Mac OS X: In a terminal, execute: /Applications/QGIS.app/Contents/MacOS/bin/python3 -m pip install modzy-sdk
- Windows: In a terminal, execute: C:\OSGeo4W\apps\Python39&gt;pip install modzy-sdk
To see more documentation, please view this page on Modzy&#x27;s official documentation site.]]></description>
        <about><![CDATA[Modzy hosts a public marketplace of ML, AI algorithms for use as well as a private library for subscribers. This plugin provides seamless access to Modzy&#x27;s ML, DL and AI models.
Please be sure to install the Modzy SDK to QGIS:
- Mac OS X: In a terminal, execute: /Applications/QGIS.app/Contents/MacOS/bin/python3 -m pip install modzy-sdk
- Windows: In a terminal, execute: C:\OSGeo4W\apps\Python39&gt;pip install modzy-sdk+
To see more documentation, please view this page on Modzy&#x27;s official documentation site.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.modzy.com/docs/qgis]]></homepage>
        <file_name>Modzy-QGIS-Plugin-main.0.21.zip</file_name>
        <icon>/media/packages/2022/icon_RvuWbeb.png</icon>
        <author_name><![CDATA[Modzy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Modzy-QGIS-Plugin-main/version/0.21/download/</download_url>
        <uploaded_by><![CDATA[bheliker]]></uploaded_by>
        <create_date>2022-02-22T23:41:37.775225+00:00</create_date>
        <update_date>2022-03-01T19:22:38.936496+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/modzy/Modzy-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/modzy/Modzy-QGIS-Plugin/]]></repository>
        <tags><![CDATA[python,modelops,ai,modzy,ml]]></tags>
        <downloads>4339</downloads>
        <average_vote>4.713612341094129</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geographical detector" version="1.3.0" plugin_id="2617">
        <description><![CDATA[A tool for  measuring spatial stratified heterogeneity and spatial associations of geographical attributes]]></description>
        <about><![CDATA[Spatial Stratified Heterogeneity (SSH) refers to the phenomena that the within strata are more similar than the between strata.Examples are land-use types and climate zones in spatial data. Geographical detector is a statistical tool to measure SSH and to make attribution for/by SSH; (1) measure and find SSH among data; (2) test the coupling between two variables Y and X and (3) investigate interaction between two explanatory variables X1 and X2 to a response variable Y.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/geographical-detector/]]></homepage>
        <file_name>geographical-detector.1.3.0.zip</file_name>
        <icon>/media/packages/2022/icon_8yh0yNp.png</icon>
        <author_name><![CDATA[Jiangang Guo; Jinfeng Wang]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geographical-detector/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[guojg]]></uploaded_by>
        <create_date>2022-02-23T05:51:57.255903+00:00</create_date>
        <update_date>2022-05-06T15:34:26.273490+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gsnrguo/QGIS-Geographical-detector/issues]]></tracker>
        <repository><![CDATA[https://github.com/gsnrguo/QGIS-Geographical-detector]]></repository>
        <tags><![CDATA[python,spatial analysis,spatial heterogeneity,stratification,geographical detector]]></tags>
        <downloads>9984</downloads>
        <average_vote>4.217207947480544</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TerraHidro" version="0.5" plugin_id="2620">
        <description><![CDATA[The TerraHidro plugin provides an interface for the TerraHidro console used in hydrological applications.]]></description>
        <about><![CDATA[The TerraHidro plugin provides an interface for the TerraHidro console used in hydrological applications.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/henriquerenno/TerraHidroQGIS/wiki]]></homepage>
        <file_name>terrahidro.0.5.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Henrique Rennó de Azeredo Freitas (INPE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/terrahidro/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[henriquerenno]]></uploaded_by>
        <create_date>2022-02-25T19:40:26.163211+00:00</create_date>
        <update_date>2024-09-27T01:06:57.544123+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/henriquerenno/TerraHidroQGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/henriquerenno/TerraHidroQGIS]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>6838</downloads>
        <average_vote>4.749406324209474</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoQ" version="2.8" plugin_id="2621">
        <description><![CDATA[Automatización del procesamiento de cálculo de la escorrentía superficial con el método de Número de Curva]]></description>
        <about><![CDATA[La modelización de fenómenos hidrológicos permite calcular o cuantificar la cantidad de precipitación de una tormenta que se infiltra o escurre superficialmente, teniendo en cuenta sus características de uso y cobertura del suelo y textura edáfica. GeoQ realiza esta modelación implementado la metodología del Número de Curva (NC) del Soil Conservation Service.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fabalmon/GeoQ]]></homepage>
        <file_name>GeoQ-main.2.8.zip</file_name>
        <icon>/media/packages/2024/logo-mich_yCJTfhs.png</icon>
        <author_name><![CDATA[Fabio Alejandro Montealegre Medina- Fernanda Julia Gaspari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoQ-main/version/2.8/download/</download_url>
        <uploaded_by><![CDATA[fabalmon405513]]></uploaded_by>
        <create_date>2022-03-02T01:23:18.897345+00:00</create_date>
        <update_date>2024-11-20T19:16:10.586192+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fabalmon/GeoQ]]></tracker>
        <repository><![CDATA[https://github.com/fabalmon/GeoQ]]></repository>
        <tags><![CDATA[calculator,vector,shapefile,intersection,polygon,flood,land cover,geoq,runoff]]></tags>
        <downloads>3156</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spatial Analysis Toolbox" version="0.3" plugin_id="2622">
        <description><![CDATA[This plugin adds some useful algorithms for Spatial Analysis.]]></description>
        <about><![CDATA[This plugin adds some useful algorithms for Spatial Analysis. Some of them are: Moran&#x27;s I, Local Moran&#x27;s I, GWR. Dependencies: pandas, geopandas, libpysal, esda, mgwr.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/parmendel/spatialanalysistoolbox]]></homepage>
        <file_name>spatialanalysistoolbox.0.3.zip</file_name>
        <icon>/media/packages/2022/icon_fOHFHxy.png</icon>
        <author_name><![CDATA[Parmenion Delialis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spatialanalysistoolbox/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[parmendel]]></uploaded_by>
        <create_date>2022-03-02T09:38:29.218874+00:00</create_date>
        <update_date>2022-04-20T10:49:42.478488+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/parmendel/spatialanalysistoolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/parmendel/spatialanalysistoolbox]]></repository>
        <tags><![CDATA[attribute,analysis,attribute table,statistics,table]]></tags>
        <downloads>45415</downloads>
        <average_vote>4.0567720821354305</average_vote>
        <rating_votes>88</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Testada de Lotes" version="1.2" plugin_id="2623">
        <description><![CDATA[Batch Tested Extraction]]></description>
        <about><![CDATA[The batch tested plugin will generate a new layer, in which it will extract the batch tested line from the polygonal layer, the generated shape will bring the native attributes of the source layer, in addition to adding a new field with the size of each test. (O plugin testada de lote irá gerar uma nova camada, na qual ele irá extrair a linha da testada do lote a partir da camada poligonal, o shape gerado irá trazer os atributos nativos da camada de origem, além de acrescentar um novo campo com o tamanho de cada testada.)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AntonioTLeandro/Testada-de-Lotes/tree/master]]></homepage>
        <file_name>testadalotes.1.2.zip</file_name>
        <icon>/media/packages/2022/icon_LciMum2.png</icon>
        <author_name><![CDATA[Antônio Teles, Gloria Santos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/testadalotes/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[antonioteles]]></uploaded_by>
        <create_date>2022-03-03T20:52:20.926966+00:00</create_date>
        <update_date>2022-04-14T13:24:05.483895+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AntonioTLeandro/Testada-de-Lotes/issues]]></tracker>
        <repository><![CDATA[https://github.com/AntonioTLeandro/Testada-de-Lotes/tree/master]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2126</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dissolve Related" version="1.3" plugin_id="2624">
        <description><![CDATA[This plugin allows dissolving only connected objects]]></description>
        <about><![CDATA[Existing QGIS Dissolve functions allow dissolving objects based on shared attribute. As a result you receive a new layer with multipart objects. Dissolve Related plugin dissolves only connected features. Thus, as a result you receive a layer, where only connected features are dissolved. The rest of features are intact - even if they share attribute values.&lt;/br&gt;There is also a dedicated to arc geometry function (keep arcs singlepart checkbox), which dissolves only arcs that are connected to up to two other arcs, related by common first or last node. It creates dissolved singlepart arcs. Multipart to singlepart QGIS function will not divide such objects to their previous state.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pandryk/PythonRepo]]></homepage>
        <file_name>dissolve_related.1.3.zip</file_name>
        <icon>/media/packages/2023/icon_HQBWza7.png</icon>
        <author_name><![CDATA[Piotr Andryk]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dissolve_related/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[pandryk]]></uploaded_by>
        <create_date>2022-03-07T12:32:38.481654+00:00</create_date>
        <update_date>2023-09-24T12:30:05.981575+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pandryk/PythonRepo/issues]]></tracker>
        <repository><![CDATA[https://github.com/pandryk/PythonRepo/tree/main/dissolve_related]]></repository>
        <tags><![CDATA[python,attribute,analysis,merge,dissolve]]></tags>
        <downloads>7722</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoStrategieKit" version="2.0.3" plugin_id="2627">
        <description><![CDATA[GeoStrategieKit is een plugin waarin verschillende analyses van StraTopo toegankelijk zijn gemaakt waaronder het maken van isochronen.]]></description>
        <about><![CDATA[GeoStrategieKit is een plugin waarin verschillende analyses van StraTopo toegankelijk zijn gemaakt waaronder het maken van isochronen.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://stratopo.nl]]></homepage>
        <file_name>SGS.2.0.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[StraTopo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SGS/version/2.0.3/download/</download_url>
        <uploaded_by><![CDATA[0]]></uploaded_by>
        <create_date>2022-03-08T13:20:36.575481+00:00</create_date>
        <update_date>2023-11-14T11:16:58.475247+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/stratopo/sgs/qgis/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/stratopo/sgs/qgis]]></repository>
        <tags><![CDATA[bag,isochrones,bod]]></tags>
        <downloads>8024</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Palapa" version="1.3" plugin_id="2629">
        <description><![CDATA[Upload, editing and delete spatial data or metadata from geoportal Palapa]]></description>
        <about><![CDATA[Upload, editing and delete spatial data or metadata from geoportal Palapa]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sandynagara/Palapa.git]]></homepage>
        <file_name>Palapa.1.3.zip</file_name>
        <icon>/media/packages/2022/icon_Jws9CFE.png</icon>
        <author_name><![CDATA[Sandy Setyanagara, Ahmad Nur Aly, Moh Mahrus Ali]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Palapa/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[sandynagara]]></uploaded_by>
        <create_date>2022-03-09T08:35:14.449801+00:00</create_date>
        <update_date>2022-08-07T03:09:06.324245+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sandynagara/Palapa.git]]></tracker>
        <repository><![CDATA[https://github.com/sandynagara/Palapa.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4066</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Wody Polskie - Baza WMS" version="1.0.4" plugin_id="2630">
        <description><![CDATA[Baza usług WMS publikowanych przez Państwowe Gospodarstwo Wodne Wody Polskie]]></description>
        <about><![CDATA[Wtyczka Wody Polskie - Baza WMS umożliwia szybki dostęp do usług sieciowych publikowanych przez Państwowe Gospodarstwo Wodne Wody Polskie (32 usług). Dodatkowo wtyczka umożliwia pobieranie wybranych danych przestrzennych. Publikowane usługi dla: Mapa Podziału Hydrograficznego Polski w skali 1:10000 (MPHP10k), Plany Gospodarowania Wodami (PGW), Jednostki organizacyjne PGW Wody Polskie, Wstępna ocena ryzyka powodziowego (WORP), Mapy zagrożenia powodziowego (MZP), Mapy ryzyka powodziowego (MRP), Plany zarządzania ryzykiem powodziowym (PZRP), Plan przeciwdziałania skutkom suszy (PPSS).Zasięg przestrzenny: Polska.   ENG: This plugin allows quick access to web map services published by the State Water Holding Polish Waters (32 services) and download selected spatial data. Spatial coverage: Poland.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LScislowski/Wody_Polskie_Baza_WMS]]></homepage>
        <file_name>wody_polskie_wms.1.0.4.zip</file_name>
        <icon>/media/packages/2025/icon_TsWpPkc.png</icon>
        <author_name><![CDATA[Łukasz Ścisłowski - Państwowe Gospodarstwo Wodne Wody Polskie - KZGW - Wydział SIGW]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wody_polskie_wms/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[581]]></uploaded_by>
        <create_date>2022-03-10T09:23:49.042086+00:00</create_date>
        <update_date>2025-07-29T06:01:57.102847+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LScislowski/Wody_Polskie_Baza_WMS/issues]]></tracker>
        <repository><![CDATA[https://github.com/LScislowski/Wody_Polskie_Baza_WMS]]></repository>
        <tags><![CDATA[python,shapefile,water,wms,download,hydrography,drought,mzp,pgwwp,mphp,apgw,mrp,worp,flood hazard map,water management plans,susza,wody polskie,powódź,hydrografia,plany,woda,flood risk map,ppss,geodatabase,pzrp]]></tags>
        <downloads>39213</downloads>
        <average_vote>4.619515005271682</average_vote>
        <rating_votes>92</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Articulação Sistemática" version="0.1" plugin_id="2631">
        <description><![CDATA[SYSTEMATIC JOINT]]></description>
        <about><![CDATA[Knowing that Systematic Articulation is defined from a cartographic series, a division into sheets of uniform format on the same scale as a geographic area, and the difficulty we have in locating them for downloads in shapefile formats, in addition to the fact that the IBGE only officially produced them for the scales: &lt;b&gt;1:1.000.000 / 1:500.000 / 1:250.000 / 1:100.000 / 1:50.000 and 1:25.000,&lt;/b&gt; this plugin aims to facilitate the acquisition of the same.

Starting from the parameters of the Official Systematic Articulation, it allows the user to generate not only the official scales, but also the sheets in the scales: &lt;b&gt;1:10.000 / 1:5.000 / 1:2.000 and 1:1.000.&lt;/b&gt; It also allows the user to feed these sheets with &lt;b&gt;Cartographic Data.&lt;/b&gt;

&lt;b&gt;Note:&lt;/b&gt; what defines the joint projection system is the input data, that is, the boundary of the area of ​​interest.


Sabendo que Articulação Sistemática é definida a partir de uma série cartográfica, uma divisão em folhas de formato uniforme na mesma escala de uma área geográfica, e da dificuldade que temos em localizá-las para downloads em formatos shapefile, além do fato que o IBGE só as produziu oficialmente para as escalas: &lt;b&gt;1:1.000.000 / 1:500.000 / 1:250.000 / 1:100.000 / 1:50.000 e 1:25.000,&lt;/b&gt; esse plugin visa facilitar a aquisição da mesma.

Partindo dos parâmetros da Articulação Sistemática Oficial ele possibilita ao usuário gerar não somente as escalas oficiais, como também as folhas nas escalas: &lt;b&gt;1:10.000 / 1:5.000 / 1:2.000 e 1:1.000.&lt;/b&gt;  Ele também possibilita que o usuário alimente essas folhas com os &lt;b&gt;Dados Cartográficos.&lt;/b&gt;

&lt;b color=#fff&gt;Observação:&lt;/b&gt; o que define o sistema de projeção da articulação é o dado de entrada, ou seja, o limite da área de interesse.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AntonioTLeandro/Articulacao-Sistematica/tree/master]]></homepage>
        <file_name>articulacaosistematica.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_82qIoPT.png</icon>
        <author_name><![CDATA[Antônio Teles, Gloria Santos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/articulacaosistematica/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[antonioteles]]></uploaded_by>
        <create_date>2022-03-16T13:29:27.550600+00:00</create_date>
        <update_date>2022-03-16T13:29:27.725860+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AntonioTLeandro/Articulacao-Sistematica/issues]]></tracker>
        <repository><![CDATA[https://github.com/AntonioTLeandro/Articulacao-Sistematica/tree/master]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2923</downloads>
        <average_vote>3.142408227396086</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Linking Relation Editor" version="v1.5.0" plugin_id="2632">
        <description><![CDATA[Provides a relation editor widget with an alternative link child dialog]]></description>
        <about><![CDATA[Provides a relation editor widget with an alternative link child dialog]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis-linking-relation-editor]]></homepage>
        <file_name>linking_relation_editor.v1.5.0.zip</file_name>
        <icon>/media/packages/2026/LinkingRelationEditor-icon.svg</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/linking_relation_editor/version/v1.5.0/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2022-03-18T09:32:40.368006+00:00</create_date>
        <update_date>2026-04-15T14:01:49.092305+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis-linking-relation-editor/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis-linking-relation-editor]]></repository>
        <tags><![CDATA[relation]]></tags>
        <downloads>26226</downloads>
        <average_vote>3.832694550908182</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Peel Orange Scale Distortion Visualizer" version="1.0.6" plugin_id="2633">
        <description><![CDATA[This plugin visualizes the scale distortion for a given region]]></description>
        <about><![CDATA[OrangePeel is a plugin that visualizes the scale distortion on a given region on a given projection. This tool algorithmically creates a grid of points over a given region and calculates the scale factor at each of these points. The points are then used in making a gradient map that visualize the gradient of change in scale distortion over that region.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/petrarch1603/PeelOrange]]></homepage>
        <file_name>peel_orange.1.0.6.zip</file_name>
        <icon>/media/packages/2022/icon_3TjALYG.png</icon>
        <author_name><![CDATA[Patrick McGranaghan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/peel_orange/version/1.0.6/download/</download_url>
        <uploaded_by><![CDATA[patrickmcgranaghan]]></uploaded_by>
        <create_date>2022-03-19T02:13:39.287991+00:00</create_date>
        <update_date>2022-03-24T00:36:52.158545+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/petrarch1603/PeelOrange/issues]]></tracker>
        <repository><![CDATA[https://github.com/petrarch1603/PeelOrange]]></repository>
        <tags><![CDATA[scale,projection,visualizer,peel,orange,distortion]]></tags>
        <downloads>1821</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Buffer Without Overlaps" version="0.5" plugin_id="2634">
        <description><![CDATA[This plugin creates a buffer around features of given type, without overlaps.]]></description>
        <about><![CDATA[A new field named &quot;Area&quot; is created and updated in the result layer named &quot;Buffer.shp&quot;. The &quot;Input vector field&quot; should preferably be a sequentially numbered Id reference field.The user can use several options to adapt End Caps and Join Styles to her/his needs. Please download and read the Manual, available from homepage. To run the plugin, go to Processing Toolbox and click on Buffer Without Overlaps. To use the &quot;buffer_without_overlaps&quot; plugin, you need to install and enable the &quot;Processing Saga NextGen Provider&quot; plugin, along with the latest SAGA GIS version (9.x): 1 - download the latest version 9.x of SAGA GIS; 2 - unzip the file &quot;saga-9.3.2_x64&quot; or newer and look for the file &quot;saga4qgis&quot;; unzip this file and follow the instructions contained therein; 3 - activate the &quot;Processing Saga NextGen Provider&quot; plugin by going to Settings-&gt;Options-&gt;Processing-&gt;Providers-&gt;SAGANG and enable SAGA, and look for the folder where &quot;saga-9.3.2_x64&quot; was unzipped (this folder must be kept).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Almeida100/Buffer-Without-Overlaps]]></homepage>
        <file_name>buffer_without_overlaps.0.5.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[António Sobral Almeida]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/buffer_without_overlaps/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[al150]]></uploaded_by>
        <create_date>2022-03-21T00:42:57.910035+00:00</create_date>
        <update_date>2024-04-14T10:46:21.278344+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Almeida100/Buffer-Without-Overlaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/Almeida100/Buffer-Without-Overlaps]]></repository>
        <tags><![CDATA[vector,feature,attribute,polygon,processing]]></tags>
        <downloads>18842</downloads>
        <average_vote>4.437222673582901</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tile Network Order" version="0.1" plugin_id="2638">
        <description><![CDATA[Tile Network Order plugin generates Ordering ID, Burying Depths, Flow Direction etc.]]></description>
        <about><![CDATA[The Tile Network Order plugin generates Ordering ID, Burying Depths, Flow Direction etc.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FVW-Services/Tile-Network-Order/wiki]]></homepage>
        <file_name>tile_network_order.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_xllbedr.png</icon>
        <author_name><![CDATA[FALASY Anamelechi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tile_network_order/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[fvwservices]]></uploaded_by>
        <create_date>2022-03-29T06:06:51.999750+00:00</create_date>
        <update_date>2022-03-29T06:06:52.435825+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FVW-Services/Tile-Network-Order/issues]]></tracker>
        <repository><![CDATA[https://github.com/FVW-Services/Tile-Network-Order]]></repository>
        <tags><![CDATA[python,laterals,elevation depths,subsurface drainage,main,drain tiles,tile network,ordering]]></tags>
        <downloads>3674</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Illini Drainage Tools" version="3.4" plugin_id="2639">
        <description><![CDATA[Performs Specific Draiange Related Tasks and Analysis on a Site using a LiDAR DEM data.]]></description>
        <about><![CDATA[Performs Specific Draiange Related Tasks and Analysis on a Site using a LiDAR DEM data.(Note: This Plugin functions better if the SAGA library is enabled. Install &quot;Processing Saga NextGen Provider&quot; Plugin).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FVW-Services/Illini-Drainage-Tools/wiki/Welcome-to-the-Illini-Drainage-Tools-wiki!]]></homepage>
        <file_name>illini_drainage_tools.3.4.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Anamelechi FALASY &amp; Richard COOKE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/illini_drainage_tools/version/3.4/download/</download_url>
        <uploaded_by><![CDATA[fvwservices]]></uploaded_by>
        <create_date>2022-03-29T06:53:37.983578+00:00</create_date>
        <update_date>2025-11-18T16:08:05.685635+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FVW-Services/Illini-Drainage-Tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/FVW-Services/Illini-Drainage-Tools]]></repository>
        <tags><![CDATA[python,elevation endpoints,lidar thinning,node generator,point sampling,tile network generator,layout grids,network connectivity]]></tags>
        <downloads>10859</downloads>
        <average_vote>4.332972252312308</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OSM SidewalKreator" version="1.6.1" plugin_id="2642">
        <description><![CDATA[Plugin designated to create the Geometries of Sidewalks (separated from streets) based on OpenStreetMap Streets, given a bounding polygon, outputting to a .geojson to be imported on JOSM. It is mostly intended for accessibility Mapping. Also includes a Processing provider with algorithms for protoblock and full sidewalk network generation.]]></description>
        <about><![CDATA[- Sidewalk generation from OSM highways with configurable widths and classes
- Optional building/address data fetch for improved geometry and segment splits
- Crossing line creation and kerb point extraction at intersections
- Export to JOSM‑ready GeoJSON for OSM editing
- Processing Provider version available, with additional algorithms]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kauevestena/osm_sidewalkreator]]></homepage>
        <file_name>osm_sidewalkreator.1.6.1.zip</file_name>
        <icon>/media/packages/2025/icon_INSLgDF.png</icon>
        <author_name><![CDATA[Kaue de Moraes Vestena]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/osm_sidewalkreator/version/1.6.1/download/</download_url>
        <uploaded_by><![CDATA[kauevestena]]></uploaded_by>
        <create_date>2022-03-31T22:25:58.487934+00:00</create_date>
        <update_date>2025-09-14T17:46:45.775189+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kauevestena/osm_sidewalkreator/issues]]></tracker>
        <repository><![CDATA[https://github.com/kauevestena/osm_sidewalkreator]]></repository>
        <tags><![CDATA[vector,openstreetmap,osm,processing,accessibility,sidewalks]]></tags>
        <downloads>21783</downloads>
        <average_vote>4.521542541628625</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="S.P.A.N.N.E.R.S." version="1.0.0" plugin_id="2643">
        <description><![CDATA[Plugin for creation, visualization, modification and analysis of graphs]]></description>
        <about><![CDATA[The S.P.A.N.N.E.R.S. plugin provides the creation, visualization and modification of graphs from geographical information.

In addition, this QGIS plugin serves as a frontend for the backend that supports the execution of analyses on the created graphs. For the execution of these analyses, the backend is required. The backend receives graph information from the frontend over the network in order to execute analyses on it using the Open Graph Drawing Framework (see https://ogdf.uos.de/).

Furthermore, customisable experiments can be performed and the results can automatically be visualised in a scientific manner.

Probably, the following python package needs to be installed: protobuf(&gt;=3.17). Detailed installation instructions for the frontend and the backend are provided in the handbook (see https://project2.informatik.uni-osnabrueck.de/spanners/). The handbook also contains detailed usage information.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://project2.informatik.uni-osnabrueck.de/spanners/]]></homepage>
        <file_name>spanners_plugin.1.0.0.zip</file_name>
        <icon>/media/packages/2022/icon_i3sY1Cg.svg</icon>
        <author_name><![CDATA[Theoretical Computer Science Group, Osnabrück University: Dennis Benz, Timo Glane, Tim Hartmann, Benedikte Lechtermann, Steffen Meinert, Levin Nemesch, Leon Nienhüser, Leon Richardt, Jo Sandor, Joshua Sangmeister, Maria Stjepic, Julian Pascal Wittker]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spanners_plugin/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[spanners]]></uploaded_by>
        <create_date>2022-04-01T11:27:35.154987+00:00</create_date>
        <update_date>2022-04-01T11:27:35.439465+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/S-P-A-N-N-E-R-S/Frontend/issues]]></tracker>
        <repository><![CDATA[https://github.com/S-P-A-N-N-E-R-S/Frontend]]></repository>
        <tags><![CDATA[layer,analysis,draw,graph,plot,visualization]]></tags>
        <downloads>2549</downloads>
        <average_vote>4.666407421809899</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="What3words Tools" version="4.4" plugin_id="2644">
        <description><![CDATA[Enables conversion between coordinates and what3words addresses in QGIS. Features include map click address capture, grid overlays, CSV import/export, field calculator tools, processing toolbox integration, and autosuggest support.]]></description>
        <about><![CDATA[&lt;p&gt;what3words is a global grid of 3m x 3m squares, each identified by a unique what3words address. This plugin allows QGIS users to easily convert coordinates to and from what3words addresses, view the what3words grid, and manage addresses on the map.&lt;/p&gt;&lt;p&gt;To get started, please &lt;a href=&quot;https://plugins.qgis.org/plugins/what3words/?utm_source=QGIS&amp;utm_medium=Plugin_Listing&amp;utm_campaign=QGIS_Create_Account#plugin-about&quot; target=&quot;_blank&quot;&gt;create an account with what3words&lt;/a&gt;, select your free tier and get your free API key.&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://developer.what3words.com/tools/gis-extensions/qgis]]></homepage>
        <file_name>what3words.4.4.zip</file_name>
        <icon>/media/packages/2025/w3w.png</icon>
        <author_name><![CDATA[what3words Limited]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/what3words/version/4.4/download/</download_url>
        <uploaded_by><![CDATA[w3wproduct]]></uploaded_by>
        <create_date>2022-04-01T15:14:26.587970+00:00</create_date>
        <update_date>2025-04-16T07:52:42.509123+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/what3words/qgis-what3words-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/what3words/qgis-what3words-plugin]]></repository>
        <tags><![CDATA[address,geocode,what3words,field-calculator,autosuggest,w3w,what3words-locator,what3words-grid,reverse-geocode]]></tags>
        <downloads>14457</downloads>
        <average_vote>3.7141530659619297</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Clear Null Geometry" version="0.4" plugin_id="2647">
        <description><![CDATA[Clear Null Geometry is a QGIS Plugin which is use to remove all Null geometries from selected layers.  Part of MAS Vector Processing tools.]]></description>
        <about><![CDATA[This plugin deletes all NULL geometry from the shapefile. New users of QGIS easily creates NULL geometry to shapefiles when they trying to delete a geometry and facing difficulties to delete all of them easily, this plugin will help them to delete all NULL geometry from all selected layers. 
Steps to Use it: 
1. At first Install this plugins and check it available. 
2. Select all opened layers from &#x27;Layer&#x27; panel. 
3. Click on the tool from toolbar (&quot;MAS ** Vector Processing&quot; Toolbar) or 
    select Vector menu --&gt; MAS Vector Processing --&gt; Clear Null Geometry. 
* Please give a vote (stars) according to your experiences, it will motivate me. If you required any other tools or plugins please contact with me &quot;mastools.help@gmail.com&quot;.
** MAS refer to my name &quot;Mirjan Ali Sha&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/clear_null_geometry/wiki]]></homepage>
        <file_name>clear_null_geometry.0.4.zip</file_name>
        <icon>/media/packages/2025/icon_05prtsN.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/clear_null_geometry/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2022-04-03T18:26:23.592089+00:00</create_date>
        <update_date>2025-06-01T16:46:23.421023+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/clear_null_geometry/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/clear_null_geometry]]></repository>
        <tags><![CDATA[vector,editing,python,digitizing,geometry,nullgeometry]]></tags>
        <downloads>10447</downloads>
        <average_vote>4.585254018194679</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Civil Engineering Tools Provider" version="0.2" plugin_id="2648">
        <description><![CDATA[Tools to automate the early design of civil engineering projects. This is a Provider with three tools: Reservoir, Earthworks and LRS]]></description>
        <about><![CDATA[Reservoir creates a basic dam design and calculates the related flooding area. Earthworks create the cut &amp; fill earthwork for a platform area. LRS creates marks and text for linear referencing system of polylines.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MBR111/CivilEng]]></homepage>
        <file_name>CivilEng.0.2.zip</file_name>
        <icon>/media/packages/2022/Civileng.png</icon>
        <author_name><![CDATA[Iñigo Marin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CivilEng/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mbr111]]></uploaded_by>
        <create_date>2022-04-03T21:24:41.683032+00:00</create_date>
        <update_date>2022-06-18T13:40:10.520407+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MBR111/CivilEng/issues]]></tracker>
        <repository><![CDATA[https://github.com/MBR111/CivilEng]]></repository>
        <tags><![CDATA[python,dam,reservoir,hidrology,earthworks,lake]]></tags>
        <downloads>9670</downloads>
        <average_vote>4.3927002607049745</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoINCRA" version="2.0.2" plugin_id="2649">
        <description><![CDATA[Georeferencing of rural properties according to INCRA’s Brazilian technical regulations for land regularization.]]></description>
        <about><![CDATA[Tools designed to support the georeferencing of rural land parcels in Brazil, following the technical standards of the National Institute for Colonization and Agrarian Reform (INCRA). The plugin is widely used in processes of rural land regularization and cadastral compliance. 🌎🇧🇷 Ferramentas desenvolvidas para apoiar o georreferenciamento de imóveis rurais no Brasil, conforme as normas técnicas do Instituto Nacional de Colonização e Reforma Agrária (INCRA). O plugin é amplamente utilizado em processos de regularização fundiária e conformidade cadastral.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OpenGeoOne/GeoINCRA/wiki/Sobre-o-GeoINCRA]]></homepage>
        <file_name>GeoINCRA.2.0.2.zip</file_name>
        <icon>/media/packages/2026/geoincra_logo_gWQ2Til.png</icon>
        <author_name><![CDATA[Tiago Prudencio, Leandro França]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoINCRA/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[leandrofranca]]></uploaded_by>
        <create_date>2022-04-04T11:37:29.764476+00:00</create_date>
        <update_date>2026-03-24T00:35:46.647089+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenGeoOne/GeoINCRA/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenGeoOne/GeoINCRA]]></repository>
        <tags><![CDATA[ods,brazil,georreferenciamento,imoveis,rurais,incra,sigef,planilha,georural,geoone]]></tags>
        <downloads>143379</downloads>
        <average_vote>4.727250108851154</average_vote>
        <rating_votes>209</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Smooth Geometry Tool" version="1.2.0" plugin_id="2652">
        <description><![CDATA[Smooths selected vector geometries using configurable smoothing parameters.]]></description>
        <about><![CDATA[Smooth Geometry Tool allows you to smooth selected vector geometries directly in QGIS. A configuration dialog lets you control the smoothing behaviour using iterations, offset, minimum distance, and maximum angle, making it suitable for cartographic refinement and data cleaning workflows.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ValPinnaSardinia/Smooth_Geometry_Plugin]]></homepage>
        <file_name>smooth_geometry.1.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_UM6d0fl.png</icon>
        <author_name><![CDATA[Valerio Pinna]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/smooth_geometry/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[valp]]></uploaded_by>
        <create_date>2022-04-05T10:06:03.735264+00:00</create_date>
        <update_date>2025-12-14T12:49:47.181803+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ValPinnaSardinia/Smooth_Geometry_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ValPinnaSardinia/Smooth_Geometry_Plugin]]></repository>
        <tags><![CDATA[python smooth geometry digitising]]></tags>
        <downloads>17097</downloads>
        <average_vote>4.299785010749463</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DaumAPI" version="0.1" plugin_id="2654">
        <description><![CDATA[Daum API Tool]]></description>
        <about><![CDATA[This is a Tool for Daum API. You can use this app without license.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kekero1004/QGIS3rdPartySW]]></homepage>
        <file_name>DaumAPI.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Jordan Moon]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DaumAPI/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mck5791]]></uploaded_by>
        <create_date>2022-04-07T14:00:52.995169+00:00</create_date>
        <update_date>2022-04-07T14:00:53.197106+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kekero1004/QGIS3rdPartySW/issues]]></tracker>
        <repository><![CDATA[https://github.com/kekero1004/QGIS3rdPartySW]]></repository>
        <tags><![CDATA[daum,jido,juso,kakaomap,roadview]]></tags>
        <downloads>4675</downloads>
        <average_vote>4.199580041995801</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WhiteboxTools for QGIS" version="1.0.9" plugin_id="2656">
        <description><![CDATA[Advanced geospatial data analysis platform.]]></description>
        <about><![CDATA[WhiteboxTools (WBT) is an advanced geospatial software package and a data analysis platform with functionality in GIS, remote sensing, LiDAR data processing, DEM analysis, spatial hydrology, and stream network analysis. It was developed by Dr. John Lindsay, at the University of Guelph, and co-founder of Whitebox Geospatial Inc. This plugin provides the QGIS plugin interface with WBT, however it does not include the WBT binary itself. Before using the tools, you will need to download and install them from [https://www.whiteboxgeo.com/](https://www.whiteboxgeo.com/geospatial-software/). Instructions about how to install this plugin can also be found in the user manual, at [https://www.whiteboxgeo.com/manual/wbt_book/qgis_plugin.html](https://www.whiteboxgeo.com/manual/wbt_book/qgis_plugin.html). For a video demonstrating how to setup the plugin, please see [https://www.youtube.com/watch?v=xJXDBsNbcTg&amp;t=3s](https://www.youtube.com/watch?v=xJXDBsNbcTg&amp;t=3s). Importantly, after installing the plugin for the first time, you may not see any plugin tools listed in the Processing toolbox because you will have yet to tell the plugin where it can find the WhiteboxTools binary (back-end). After downloading and decompressing the WhiteboxTools binary, which will be contained in a WBT folder, start by going to Settings =&gt; Options =&gt; Processing =&gt; Providers =&gt; WhiteboxTools and setting the WhiteboxTools executable parameter. This parameter must point to the WhiteboxTools binary within the WBT folder, which will either be called whitebox_tools.exe (Windows) or whitebox_tools (all other operating systems). After this parameter is set, the plugin will automatically generate the description files for each tool associated with the back-end, after which you will see the plugin listed in the Processing toolbox. This step may take a few minutes. If you upgrade the version of your WhiteboxTools back-end, or install the [Whitebox Toolset Extension (WTE)](https://www.whiteboxgeo.com/whitebox-toolset-extension/) you may also force the recreation of tool descriptions using the &#x27;Recreate tool description files&#x27; parameter setting.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.whiteboxgeo.com/geospatial-software/]]></homepage>
        <file_name>wbt_for_qgis.1.0.9.zip</file_name>
        <icon>/media/packages/2024/whiteboxtools_RUCHPtr.svg</icon>
        <author_name><![CDATA[John Lindsay and Alexander Bruy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wbt_for_qgis/version/1.0.9/download/</download_url>
        <uploaded_by><![CDATA[jlindsay]]></uploaded_by>
        <create_date>2022-04-07T18:37:03.563582+00:00</create_date>
        <update_date>2023-04-02T16:00:39.937680+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jblindsay/whitebox-tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/jblindsay/whitebox-tools]]></repository>
        <tags><![CDATA[vector,raster,analysis,processing,lidar]]></tags>
        <downloads>120640</downloads>
        <average_vote>2.851843726940949</average_vote>
        <rating_votes>351</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ALS Downloader" version="1.1" plugin_id="2658">
        <description><![CDATA[ALS data downloader for Slovenia and the Netherlands.]]></description>
        <about><![CDATA[Download ALS (LiDAR) data. Plugin can be found under Web menu. It provides fishnet and Action for downloading selected grids of following Countries:
Slovenia
The Netherlands]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/matjash/als_downloader]]></homepage>
        <file_name>als_downloader.1.1.zip</file_name>
        <icon>/media/packages/2022/icon_ld_4nSqFgN.png</icon>
        <author_name><![CDATA[Matjaž Mori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/als_downloader/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[matjash]]></uploaded_by>
        <create_date>2022-04-10T19:15:51.479803+00:00</create_date>
        <update_date>2022-04-10T19:15:51.856955+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/matjash/als_downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/matjash/als_downloader]]></repository>
        <tags><![CDATA[lidar,slovenia,netherlands,als data]]></tags>
        <downloads>8141</downloads>
        <average_vote>3.9996000399960008</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Importer2OSMbasemap" version="1.0" plugin_id="2659">
        <description><![CDATA[Import data into a QGIS Project, with OSM basemap]]></description>
        <about><![CDATA[Importer2OSMbasemap create a QGIS Project, with an OSM basemap. It allows to import data (SHP, DXF, geoJSON)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/arx-it/Importer2OSMbasemap]]></homepage>
        <file_name>Importer2OSMbasemap.1.0.zip</file_name>
        <icon>/media/packages/2022/icon_qqG3jaf.png</icon>
        <author_name><![CDATA[arx iT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Importer2OSMbasemap/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[arxit]]></uploaded_by>
        <create_date>2022-04-11T08:35:07.061652+00:00</create_date>
        <update_date>2022-04-11T08:35:09.031595+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/arx-it/Importer2OSMbasemap/issues]]></tracker>
        <repository><![CDATA[https://github.com/arx-it/Importer2OSMbasemap]]></repository>
        <tags><![CDATA[landuse,import2osm]]></tags>
        <downloads>15320</downloads>
        <average_vote>4.266382241183921</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Download Statistics Portugal Open Data" version="0.2" plugin_id="2664">
        <description><![CDATA[This plugin enables the open data download of geographical and statistical Information from Statistics Portugal]]></description>
        <about><![CDATA[This plugin has been developed to allow more accessibility to the information available about Census (1991, 2001, 2011, 2021) small statistical areas and statistical indicators linked to them. This is Open Data available for both public organisms and private companies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/frcaldeira/downloadgeostatportugal]]></homepage>
        <file_name>downloadgeostatportugal.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_EhDzo5c.png</icon>
        <author_name><![CDATA[Francisco Caldeira  - Instituto Nacional de Estatística]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/downloadgeostatportugal/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[frcaldeira]]></uploaded_by>
        <create_date>2022-04-13T13:44:47.734474+00:00</create_date>
        <update_date>2023-03-30T15:24:34.502181+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/frcaldeira/downloadgeostatportugal/issues]]></tracker>
        <repository><![CDATA[https://github.com/frcaldeira/downloadgeostatportugal/issues]]></repository>
        <tags><![CDATA[buildings,population,census,ine,censos 2021,censos,instituto nacional de estatística,base geográfica de georeferenciação da informação,bgri,alojamentos,agregados,small statistical areas,população,households,edifícios]]></tags>
        <downloads>7749</downloads>
        <average_vote>4.713949003642597</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cronometro" version="1.1" plugin_id="2665">
        <description><![CDATA[Il plugin crea un semplice cronometro in ambiente QGIS. Il conteggiop del tempo trascorso verrá visualizzato sia nella finestra del plugin the nella barra di stato]]></description>
        <about><![CDATA[Un semplice cronometro in ambiente QGIS per valutare la durata delle operazioni, con pulsanti start/stop e reset.

Il tempo trascorso sarà visibile sia in una finestra dedicata del plugin che nella barra di stato.
Quando la finestra viene chiusa senza interruzioni e reimpostazioni, il conteggio del tempo trascorso continuerà a essere disponibile nella barra di stato.
Per interromperlo riaprire la finestra e selezionare reset.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Korto19/Cronometro#cronometro]]></homepage>
        <file_name>Cronometro.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_kxixnES.png</icon>
        <author_name><![CDATA[Giulio Fattori &amp; Valerio Pinna]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Cronometro/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2022-04-13T17:26:10.868922+00:00</create_date>
        <update_date>2022-04-19T13:57:12.528245+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Korto19/Cronometro/issues]]></tracker>
        <repository><![CDATA[https://github.com/Korto19/Cronometro]]></repository>
        <tags><![CDATA[python,timer]]></tags>
        <downloads>1697</downloads>
        <average_vote>4.36323970548132</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mapmaker" version="1" plugin_id="2666">
        <description><![CDATA[This plugin help you to make map for tactical use.]]></description>
        <about><![CDATA[This plugin contains tools to create a named grid, to make atlas for print map and to make map kml-file to load into Garmin. You can create a chess-notated grid, create a rectangle grid for atlas generation and generate atlas for print. Also you can create kml to load it into Garmin GPS navigator. This plugin include tools to quick switch between &quot;local&quot; coordinate system and EPSG:3857, to insert your logo into printed map and to set distance points along tracks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/olegruk/mapmaker]]></homepage>
        <file_name>mapmaker.1.zip</file_name>
        <icon>/media/packages/2022/map.png</icon>
        <author_name><![CDATA[R.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapmaker/version/1/download/</download_url>
        <uploaded_by><![CDATA[olegruk]]></uploaded_by>
        <create_date>2022-04-15T09:39:24.732695+00:00</create_date>
        <update_date>2022-04-15T09:39:25.072693+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/olegruk/mapmaker/issues]]></tracker>
        <repository><![CDATA[https://github.com/olegruk/mapmaker]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>9417</downloads>
        <average_vote>4.49925012497917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Annotation to Label" version="1.0.1" plugin_id="2667">
        <description><![CDATA[This plugin converts the Text annotations on print layout labels. It provides also some buttons to show/hide and remove the Text Annotations.]]></description>
        <about><![CDATA[This plugin provides some useful tools to work with Text Annotations. A dedicated toolbar will provide some buttons to show/hide or remove the Text Annotations and a tool to convert the canvas map Text Annotations on print layout labels.

The Annotations/labels conversion tool allows defining the name, size and orientation of the new layout that will contain the labels. If the provided name is the same as an existing print layout it will be possible to decide if overwrite the old version.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ValPinnaSardinia/AnnotationToLabelPlugin]]></homepage>
        <file_name>annotation_labels.1.0.1.zip</file_name>
        <icon>/media/packages/2022/annotationtolabel_icon.png</icon>
        <author_name><![CDATA[Valerio Pinna]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/annotation_labels/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[valp]]></uploaded_by>
        <create_date>2022-04-18T20:22:19.277002+00:00</create_date>
        <update_date>2022-08-02T13:32:46.028116+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ValPinnaSardinia/AnnotationToLabelPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ValPinnaSardinia/AnnotationToLabelPlugin]]></repository>
        <tags><![CDATA[python,remove,hide,annotation,labels,textannotation,show]]></tags>
        <downloads>25239</downloads>
        <average_vote>4.31223048559465</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Smarty" version="1.0.13" plugin_id="2669">
        <description><![CDATA[Smarty Geocoding QGIS Plugin]]></description>
        <about><![CDATA[&lt;b&gt;Simple and Accurate Geocoding For Your Maps&lt;/b&gt;&lt;br&gt;&lt;br&gt;Smarty’s QGIS Geocoding plugin allows you to interactively geocode US addresses on your QGIS maps. There are several geocoding plugins in QGIS to choose from, but Smarty&#x27;s plugin is the easiest to use and the most accurate, with addresses being geocoded down to the rooftop and parcel levels. Subaddress geocodes are also available for secondary addresses such as  apartments and suites.&lt;br&gt;&lt;br&gt;&lt;b&gt;Address Verification, Standardization, and Autocomplete Included&lt;/b&gt;&lt;br&gt;&lt;br&gt;Simply enter an address and let our plugin validate, standardize, geocode, and plot it on your map. It even uses our US Address Autocomplete product to help you avoid entering errant address information.&lt;br&gt;&lt;br&gt;&lt;b&gt;Batch Geocoding Available&lt;/b&gt;&lt;br&gt;&lt;br&gt;While a subscription is not required to use the plugin, Smarty customers with a US Rooftop Geocoding subscription have the additional benefit of geocoding large batches of addresses at rates of up to 600-700 records/sec.&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;&lt;a href=&quot;https://www.smarty.com/docs/qgis-geocoding-plugin-us-address&quot;&gt;Read the documentation for this plugin&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://www.smarty.com/plugins/qgis-geocoding-plugin-us-address&quot;&gt;Learn more about Smarty&#x27;s QGIS Geocoding Plugin - US Address&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://www.smarty.com/products/us-rooftop-geocoding#geocoding-tool&quot;&gt;Learn more about Smarty&#x27;s US Rooftop Geocoding&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://www.smarty.com/&quot;&gt;Visit Smarty.com&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Additional Metadata Output&lt;/b&gt;&lt;br&gt;&lt;br&gt;Output fields include parsed, standardized address components, ZIP+4 Code, precision match level, county name, FIPS Code, congressional district, time zone with Daylight Savings Indicator, and whether the address is residential or commercial (RDI).&lt;br&gt;&lt;br&gt;&lt;p&gt;&lt;strong&gt;Software Support Policy&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Smarty&#x27;s software is designed to provide optimal performance, security, and stability. To ensure the highest quality of service, we only offer support for the most recent &lt;strong&gt;Long-Term Release (LTR)&lt;/strong&gt; version.&lt;/p&gt;&lt;p&gt;Other versions of this plugin, including previous LTR releases, may not receive updates, bug fixes, or technical assistance. We strongly recommend all users use the latest LTR version to benefit from ongoing support and improvements.&lt;/p&gt;&lt;p&gt;For more details on supported versions and upgrade recommendations, please refer to our official documentation or contact our support team.&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/smartystreets/qgis-plugin]]></homepage>
        <file_name>smarty.1.0.13.zip</file_name>
        <icon>/media/packages/2025/smarty-icon-gradient_TldpVMw.png</icon>
        <author_name><![CDATA[Smarty]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/smarty/version/1.0.13/download/</download_url>
        <uploaded_by><![CDATA[smarty]]></uploaded_by>
        <create_date>2022-04-27T18:40:39.834811+00:00</create_date>
        <update_date>2025-09-10T17:03:59.607746+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/smartystreets/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/smartystreets/qgis-plugin]]></repository>
        <tags><![CDATA[python,geocoding,address,geocode,geocoder,address validation,address correction,address verification,address standardization,address parsing,address matching,time zone,rdi,rooftop,county fips codes,congressional district,daylight savings,residential or commercial]]></tags>
        <downloads>9861</downloads>
        <average_vote>4.499750013888117</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Google Street View Layer" version="0.1" plugin_id="2670">
        <description><![CDATA[A QGIS plugin that uses your road layer, and creates a layer or table with the most recent Google Street View capture data. Google API Key required!]]></description>
        <about><![CDATA[A QGIS plugin that uses your road layer, and creates a layer or table with the most recent Google Street View capture data. Google API Key required!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gisn8/google-street-view-layer]]></homepage>
        <file_name>google-street-view-layer-master.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_uPuXAnU.png</icon>
        <author_name><![CDATA[Nathan Saylor]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/google-street-view-layer-master/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[gisn8]]></uploaded_by>
        <create_date>2022-04-27T18:59:55.100986+00:00</create_date>
        <update_date>2022-04-27T18:59:55.259987+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gisn8/google-street-view-layer/issues]]></tracker>
        <repository><![CDATA[https://github.com/gisn8/google-street-view-layer]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>170174</downloads>
        <average_vote>4.568077998227313</average_vote>
        <rating_votes>44</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="H3 Toolkit" version="0.3.0" plugin_id="2673">
        <description><![CDATA[Tools for the H3 discrete global grid system.]]></description>
        <about><![CDATA[This plugin adds an H3 processing provider to QGIS, with tools that let users create H3 grids. These tools are powered by the open source H3 library (&lt;a href=&quot;https://h3geo.org/&quot;&gt;https://h3geo.org/&lt;/a&gt;)
NOTE: The official H3 Library (&#x27;h3&#x27; Python package) is not shipped with this plugin and has to be installed separately. The plugin detects if the package is missing and offers basic guidance on how to install.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/arongergely/qgis-h3-toolkit-plugin]]></homepage>
        <file_name>h3_toolkit.0.3.0.zip</file_name>
        <icon>/media/packages/2026/h3_logo.svg</icon>
        <author_name><![CDATA[Aron Gergely]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/h3_toolkit/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[arongergely]]></uploaded_by>
        <create_date>2022-04-28T12:57:43.688471+00:00</create_date>
        <update_date>2026-03-18T13:42:25.775608+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/arongergely/qgis-h3-toolkit-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/arongergely/qgis-h3-toolkit-plugin]]></repository>
        <tags><![CDATA[grids,grid,h3,hexagon]]></tags>
        <downloads>13446</downloads>
        <average_vote>4.705743948707391</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Space Time Cube" version="1.2" plugin_id="2674">
        <description><![CDATA[This plugin creates a space-time cube based on given data.]]></description>
        <about><![CDATA[The main purpose of the plugin is the detection of hot spots (space-time clusters) localised in space and time using two different statistics: Getis-Ord and Local Moran&#x27;s I.
The plugin is composed of four tabs, in which the first one obtains the inputs -a space-time point dataset and the dimensions of the cube. The second and third tabs allows interactive analysis. &quot;Temporal Change&quot; tab allows temporal analysis on a selected cell. &quot;Neighbours&quot; tab allows investigation of the neighbouring cells of a selected cell. Finally, &quot;Simulation&quot; tab allows generation of random space-time point dataset for further analysis.
The four outputs of the plugin are as follows:
1. A csv file detailing the chosen statistics values at the cell level.
2. A csv file that providing information for individual points.
3. A shape file that visualises the created cells.
4. The tiff files for each time slice demonstrating the cell&#x27;s statistics to allow raster analysis.
Video tutorial: https://www.youtube.com/watch?v=Ibbs7u-iawE]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/banbar/SpaceTimeCube]]></homepage>
        <file_name>space_time_cube.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_cGYpJiY.png</icon>
        <author_name><![CDATA[Murat Çalışkan, Berk Anbaroğlu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/space_time_cube/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[banbar]]></uploaded_by>
        <create_date>2022-04-28T18:57:37.759158+00:00</create_date>
        <update_date>2026-04-08T08:05:02.726826+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/banbar/SpaceTimeCube/issues]]></tracker>
        <repository><![CDATA[https://github.com/banbar/SpaceTimeCube]]></repository>
        <tags><![CDATA[python,hot spot,space time cube]]></tags>
        <downloads>3351</downloads>
        <average_vote>4.356831654881795</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Group and Sort" version="1.3" plugin_id="2675">
        <description><![CDATA[Group the layers by type and sort them alphanumerically into their own group]]></description>
        <about><![CDATA[This plugin groups the layers of the project according to their type and reorders them alphanumeric within their own group]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/Korto19/Group_and_Sort_Layers#group]]></homepage>
        <file_name>Group_and_Sort_Layers.1.3.zip</file_name>
        <icon>/media/packages/2026/icon_rWL4Fh4.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Group_and_Sort_Layers/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2022-04-29T06:45:49.821946+00:00</create_date>
        <update_date>2024-10-28T16:11:45.645146+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/Korto19/Group_and_Sort_Layers/issues]]></tracker>
        <repository><![CDATA[http://github.com/Korto19/Group_and_Sort_Layers]]></repository>
        <tags><![CDATA[python,layer,sort,group]]></tags>
        <downloads>9259</downloads>
        <average_vote>3.9521927527260603</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Fetch" version="1.0" plugin_id="2676">
        <description><![CDATA[Generate gegraphical fetch]]></description>
        <about><![CDATA[Questo plugin disegna Fetch Geografici. E&#x27;possibile assegnare lunghezza e angolo minimo di generazione. Vengono inoltre indicate le distanze e le principali direzioni.
Una volta lanciato digitare il punto di inserimento con il cursore, compilare le form e al termine tasto destro per concludere la procedura.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/Korto19/Geographical_Fetch#geographical_fetch]]></homepage>
        <file_name>Geographical_Fetch.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_xk05h9h.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Geographical_Fetch/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2022-04-29T06:46:22.543397+00:00</create_date>
        <update_date>2022-04-29T06:46:22.682887+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/Korto19/Geographical_Fetch/issues]]></tracker>
        <repository><![CDATA[http://github.com/Korto19/Geographical_Fetch]]></repository>
        <tags><![CDATA[python,fetch]]></tags>
        <downloads>2501</downloads>
        <average_vote>4.3842781324513505</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapBiomas Alert Oficial Plugin" version="1.2.7" plugin_id="2679">
        <description><![CDATA[This Plugin allows you to get alert data from MapBiomas Alerta (http://alerta.mapbiomas.org/)]]></description>
        <about><![CDATA[This Plugin allows you to get alert data from MapBiomas Alerta (http://alerta.mapbiomas.org/)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/teammapbiomas/themes/mapbioma-alerta/mapbiomas-alerta-plugin]]></homepage>
        <file_name>PLUGIN.1.2.7.zip</file_name>
        <icon>/media/packages/2025/mapbiomas_alert_z5IM1EJ.png</icon>
        <author_name><![CDATA[Luiz Motta, Luiz Cortinhas, Mário Hermes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PLUGIN/version/1.2.7/download/</download_url>
        <uploaded_by><![CDATA[luizcf14]]></uploaded_by>
        <create_date>2022-05-02T16:04:53.668511+00:00</create_date>
        <update_date>2025-07-31T17:39:04.861740+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/teammapbiomas/themes/mapbioma-alerta/mapbiomas-alerta-plugin]]></tracker>
        <repository><![CDATA[https://gitlab.com/teammapbiomas/themes/mapbioma-alerta/mapbiomas-alerta-plugin]]></repository>
        <tags><![CDATA[mapbiomas,alert,oficial]]></tags>
        <downloads>21667</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Medir distancia entre..." version="1.1.0" plugin_id="2680">
        <description><![CDATA[Measures the minimum distance between two features.]]></description>
        <about><![CDATA[This plugin quickly measures the minimum distance between two features. Measurements are performed directly on the map canvas by selecting features, without creating auxiliary layers or running geoprocessing tools. It supports all geometry types (e.g., polygon-to-polygon, polygon-to-line, line-to-line).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://git.disroot.org/jpcasares/medir_distancia_entre/]]></homepage>
        <file_name>medir_distancia_entre.1.1.0.zip</file_name>
        <icon>/media/packages/2026/mde_icon.png</icon>
        <author_name><![CDATA[José A. Pérez Casares]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/medir_distancia_entre/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[jperezcasares]]></uploaded_by>
        <create_date>2022-05-03T18:39:43.471320+00:00</create_date>
        <update_date>2026-03-30T15:29:29.471940+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://git.disroot.org/jpcasares/medir_distancia_entre/issues]]></tracker>
        <repository><![CDATA[https://git.disroot.org/jpcasares/medir_distancia_entre/]]></repository>
        <tags><![CDATA[vector,feature,distance,measurement]]></tags>
        <downloads>7860</downloads>
        <average_vote>4.408890504977046</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geodesic Tools" version="v2.1.1" plugin_id="2681">
        <description><![CDATA[QGIS3 plugin containing geodesic tools for rectangular mapping, finding intersection point of a line and a circle, finding intersection point of two lines and displacing a line feature. In addition to these main functionalities the plugin contains tools for data manipulation (e.g. explode polygon to lines or split a line).]]></description>
        <about><![CDATA[Use geodesic tools to perform rectangular mapping or to find out intersection points of two lines or line and circle. Plugin contains also some tools supporting these three main functionalities.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GispoCoding/kimu]]></homepage>
        <file_name>kimu.v2.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Gispo Ltd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kimu/version/v2.1.1/download/</download_url>
        <uploaded_by><![CDATA[gispo]]></uploaded_by>
        <create_date>2022-05-04T12:48:00.364584+00:00</create_date>
        <update_date>2024-02-16T11:40:49.652895+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GispoCoding/kimu/issues]]></tracker>
        <repository><![CDATA[https://github.com/GispoCoding/kimu]]></repository>
        <tags><![CDATA[python,geodesic calculus]]></tags>
        <downloads>13558</downloads>
        <average_vote>3.9986671109630123</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="THYRSIS" version="2.3.0" plugin_id="2682">
        <description><![CDATA[THYRSIS (Transport HYdrogéologique Rapide Simulé en Insaturé et Saturé) is a plugin to simulate hydrogeological flow and transport of chemicals and radiologic substances in both unsaturated and saturated porous environments.]]></description>
        <about><![CDATA[Flow and transport simulations in unsaturated or saturated porous media.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/thyrsis/]]></homepage>
        <file_name>thyrsis.2.3.0.zip</file_name>
        <icon>/media/packages/2025/logo_thyrsis_square_IpEEh6r.svg</icon>
        <author_name><![CDATA[François RENARD (CEA), Vincent MORA (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/thyrsis/version/2.3.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2022-05-04T12:53:48.909860+00:00</create_date>
        <update_date>2025-02-14T09:06:24.629634+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/thyrsis/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/thyrsis/]]></repository>
        <tags><![CDATA[flow,hydrology,hydrogeology,mesh,transport,simulation,thyrsis]]></tags>
        <downloads>5278</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lizmap server" version="2.14.1" plugin_id="2683">
        <description><![CDATA[Designed only for QGIS server. For QGIS Desktop, install the other plugin called &quot;Lizmap&quot;.]]></description>
        <about><![CDATA[With a few clicks, it&#x27;s possible to publish and share your QGIS projects on the Web via Lizmap Web Client, by 3liz.com. QGIS Server is used in the background so all the symbology is kept. The edition forms in QGIS are also available. Demo : https://demo.lizmap.com and documentation : https://docs.lizmap.com and hosting solutions https://lizmap.com]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.lizmap.com/current/fr/install/pre_requirements.html#lizmap-qgis-server-plugin]]></homepage>
        <file_name>lizmap_server.2.14.1.zip</file_name>
        <icon>/media/packages/2025/icon_lwkOH4H.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lizmap_server/version/2.14.1/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2022-05-11T09:20:29.836930+00:00</create_date>
        <update_date>2025-10-02T11:07:30.419865+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/qgis-lizmap-server-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/qgis-lizmap-server-plugin]]></repository>
        <tags><![CDATA[web,cloud,mobile,wfs,server,wms,publication,wps,webmapping,webservice,internet,webgis,online]]></tags>
        <downloads>50296</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>True</server>
    </pyqgis_plugin><pyqgis_plugin name="NextGIS EasyQuery" version="1.1.0" plugin_id="2684">
        <description><![CDATA[Visual constructor for simple attribute queries]]></description>
        <about><![CDATA[Plugin is an alternative for Select features using expression tool. The idea is to provide less comprehensive, but more intuitive way to run simple queries.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nextgis.com]]></homepage>
        <file_name>qgis_easy_query.1.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_OZ6enlJ.svg</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_easy_query/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2022-05-13T12:01:52.951927+00:00</create_date>
        <update_date>2024-11-20T17:45:04.561550+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_easy_query/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_easy_query]]></repository>
        <tags><![CDATA[vector]]></tags>
        <downloads>6965</downloads>
        <average_vote>4.166319473377219</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Labeling" version="1.1" plugin_id="2685">
        <description><![CDATA[Create Labeling Points for labeling line sections]]></description>
        <about><![CDATA[Create extra points for labels in a labeling layer. From each point you can draw reference points to render arrows. UI/Messages currently only in German. &lt;a href=&quot;https://github.com/felixvons/Easy-Labeling/blob/main/manual/manual.md&quot;&gt;Manual here&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/felixvons/Easy-Labeling]]></homepage>
        <file_name>easy_labeling.1.1.zip</file_name>
        <icon>/media/packages/2022/icon_V6zOxTa.png</icon>
        <author_name><![CDATA[Felix von Studsinske]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easy_labeling/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[felixvons]]></uploaded_by>
        <create_date>2022-05-13T12:03:55.326672+00:00</create_date>
        <update_date>2022-08-16T19:24:22.246671+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/felixvons/Easy-Labeling/issues]]></tracker>
        <repository><![CDATA[https://github.com/felixvons/Easy-Labeling]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>8693</downloads>
        <average_vote>3.499416763872688</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Right Angle Drawing" version="1.0" plugin_id="2686">
        <description><![CDATA[Draw two lines with a right angle.]]></description>
        <about><![CDATA[Draw two new lines with right angles by defining a triangle. It is used to draw measuring lines e.g. to measure the distance from building corners to a destination point. UI/Messages currently only in German. &lt;a href=&quot;https://github.com/felixvons/Easy-Right-Angle-Drawing/blob/main/manual/manual.md&quot;&gt;Manual here&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/felixvons/Easy-Right-Angle-Drawing]]></homepage>
        <file_name>easy_right_angle_draw.1.0.zip</file_name>
        <icon>/media/packages/2022/icon_nbo2hRT.png</icon>
        <author_name><![CDATA[Felix von Studsinske]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easy_right_angle_draw/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[felixvons]]></uploaded_by>
        <create_date>2022-05-13T12:04:28.259806+00:00</create_date>
        <update_date>2022-05-13T12:04:29.650385+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/felixvons/Easy-Right-Angle-Drawing/issues]]></tracker>
        <repository><![CDATA[https://github.com/felixvons/Easy-Right-Angle-Drawing]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2582</downloads>
        <average_vote>2.9992501874531365</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapTileLoader" version="0.2.0" plugin_id="2690">
        <description><![CDATA[Download georeferenced parts of tile map services]]></description>
        <about><![CDATA[This plugin is a simple tool for downloading parts of popular web map services.
Only for non-commercial and educational purposes.
WARNING: Works only with Python&#x27;s Pillow module which has to be installed in QGIS

A brief instruction.
1. Select a web map source you want to clip
2. Set zoom level (the more value - the longer download process will be)
3. Draw a frame on map like a rectangle
4. Set folder to save your image
5. Press download.

In result you will see a georeferenced image cropped to frame. Additionaly you can unset &quot;Add image on load&quot; if you don&#x27;t want images to be automatically added to current project. You can also save your frames to *.xtnt files and then load them in after closing the widget]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pavelpereverzev/map_tile_loader]]></homepage>
        <file_name>map_tile_loader.0.2.0.zip</file_name>
        <icon>/media/packages/2024/icon_FMFlzP9.png</icon>
        <author_name><![CDATA[Pavel Pereverzev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/map_tile_loader/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[kylsha]]></uploaded_by>
        <create_date>2022-05-14T14:45:10.187990+00:00</create_date>
        <update_date>2024-09-03T21:58:43.207073+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pavelpereverzev/map_tile_loader]]></tracker>
        <repository><![CDATA[https://github.com/pavelpereverzev/map_tile_loader]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>28681</downloads>
        <average_vote>4.39978001099945</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Custom News Feed" version="v1.2.3" plugin_id="2691">
        <description><![CDATA[This plugin helps you display a newsfeed in QGIS.]]></description>
        <about><![CDATA[This QGIS plugin lets you display a feed of articles containing a title, date, text, image and link. The information to display is managed in a JSON-file, that can be provided locally or via url. Custom News Feed plugin is helpful if you want to distriubte news articles organisation-wide.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GeoWerkstatt/qgis-custom-news-feed]]></homepage>
        <file_name>custom_news_feed.v1.2.3.zip</file_name>
        <icon>/media/packages/2024/icon_igT6qSN.png</icon>
        <author_name><![CDATA[GeoWerkstatt GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/custom_news_feed/version/v1.2.3/download/</download_url>
        <uploaded_by><![CDATA[geowerkstatt]]></uploaded_by>
        <create_date>2022-05-16T08:05:00.152258+00:00</create_date>
        <update_date>2024-04-02T14:26:59.962386+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoWerkstatt/qgis-custom-news-feed/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoWerkstatt/qgis-custom-news-feed.git]]></repository>
        <tags><![CDATA[gis,feed,information,organisation,news]]></tags>
        <downloads>7343</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SEBCS for QGIS" version="2.1.5" plugin_id="2692">
        <description><![CDATA[Module for calculation of energy balance features and vegetation water stress indices]]></description>
        <about><![CDATA[The SEBCS for QGIS is software enabling calculation of energy balance and
crop water stress features (heat fluxes, evaporative fraction, Bowen ratio,
Omega factor, CWSI etc.) from Landsat satellite data (L5 TM, L7 ETM+, L8 and L9
OLI/TIRS) and also from other devices (e.g. UAV). Calculation procedure uses
approach based on Penman-Monteith method, SEBAL method and gradient approach of
the energy balance characteristics calculation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://researchgate.net/profile/Jakub-Brom]]></homepage>
        <file_name>SEBCS-master.2.1.5.zip</file_name>
        <icon>/media/packages/2025/icon_Inw1MKy.png</icon>
        <author_name><![CDATA[Jakub Brom, University of South Bohemia in Ceske Budejovice, Faculty of Agriculture and Technology]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SEBCS-master/version/2.1.5/download/</download_url>
        <uploaded_by><![CDATA[jbosgeouid]]></uploaded_by>
        <create_date>2022-05-16T09:48:58.845314+00:00</create_date>
        <update_date>2025-02-21T13:20:24.268001+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JakubBrom/SEBCS/issues]]></tracker>
        <repository><![CDATA[https://github.com/JakubBrom/SEBCS]]></repository>
        <tags><![CDATA[ecology,raster,remote sensing,evapotranspiration,cwsi,energy balance,vegetation water stress]]></tags>
        <downloads>3141</downloads>
        <average_vote>3.999333444425929</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QSCS" version="0.2" plugin_id="2693">
        <description><![CDATA[A QGIS Plugin to Determine Basin Properties for NRCS Peak Flow Estimation in HEC-HMS]]></description>
        <about><![CDATA[Qscs is a plugin created to estimate the peak design flow used in the design of highway engineering structures with the NRCS method.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sidar-qscs/qscs]]></homepage>
        <file_name>q_scs.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_xqT6r7R.png</icon>
        <author_name><![CDATA[sidar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/q_scs/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[sidar21]]></uploaded_by>
        <create_date>2022-05-16T18:18:31.011219+00:00</create_date>
        <update_date>2023-05-30T07:20:15.195482+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sidar-qscs/qscs/issues]]></tracker>
        <repository><![CDATA[https://github.com/sidar-qscs/qscs/]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3616</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Return PyQGIS Algorithm" version="0.1" plugin_id="2694">
        <description><![CDATA[Zero-click pyQGIS searching and copying]]></description>
        <about><![CDATA[Returns pyQGIS algorithms based on an algorithm name.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ScriptedChicken/Return-QGIS-Algorithm]]></homepage>
        <file_name>return_pyqgis_algorithm.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_Lc9BqUA.png</icon>
        <author_name><![CDATA[angusfhunt@gmail.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/return_pyqgis_algorithm/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[scriptedchicken]]></uploaded_by>
        <create_date>2022-05-19T07:17:09.597594+00:00</create_date>
        <update_date>2022-05-19T07:17:09.857448+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ScriptedChicken/Return-QGIS-Algorithm/issues]]></tracker>
        <repository><![CDATA[https://github.com/ScriptedChicken/Return-QGIS-Algorithm]]></repository>
        <tags><![CDATA[python,copy,pyqgis,algorithm]]></tags>
        <downloads>3509</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Stack Composed" version="23.8" plugin_id="2695">
        <description><![CDATA[Compute and generate in a parallel process the composed of a raster images stack through assemble and reduce by a statistic]]></description>
        <about><![CDATA[StackComposed is a Qgis plugin processing that compute the stack composed (assemble and reduce) using a statistic
to get the final value. The result is an assembled image, with a  wrapper extent for all input data, with the pixel
values resulting from the statistic for the specific band for all the valid pixels across the time axis (z-axis)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SMByC/StackComposed-Qgis-processing]]></homepage>
        <file_name>StackComposed.23.8.zip</file_name>
        <icon>/media/packages/2023/stack_composed.svg</icon>
        <author_name><![CDATA[Xavier Corredor Llano, SMByC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/StackComposed/version/23.8/download/</download_url>
        <uploaded_by><![CDATA[xaviercll]]></uploaded_by>
        <create_date>2022-05-20T07:49:34.507632+00:00</create_date>
        <update_date>2023-08-09T07:59:08.634732+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SMByC/StackComposed-Qgis-processing/issues]]></tracker>
        <repository><![CDATA[https://github.com/SMByC/StackComposed-Qgis-processing]]></repository>
        <tags><![CDATA[raster,processing,layers,stack,reducer]]></tags>
        <downloads>3000</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QNSPECT" version="1.0" plugin_id="2699">
        <description><![CDATA[QGIS Plugin for NOAA Nonpoint Source Pollution and Erosion Comparison Tool (NSPECT)]]></description>
        <about><![CDATA[QNSPECT is the QGIS implementation of the NOAA Office for Coastal Management&#x27;s (OCM) previous Nonpoint-Source Pollution and Erosion Comparison Tool (NSPECT). QNSPECT is a screening tool designed to allow users to estimate initial baseline pollution and erosion over an area and then compare how those values would change under a different land-use or management scenario. A user must have GRASS installed in QGIS to be able to use certain modules of the QNSPECT. Information and resources for using QNSPECT can be found on the NOAA Office for Coastal Management Digital Coast &lt;a href=&quot;https://coast.noaa.gov/digitalcoast/tools/qnspect.html&quot;&gt;QNSPECT Tool Page&lt;/a&gt;. See the &lt;a href=&quot;https://coast.noaa.gov/data/digitalcoast/pdf/qnspect-technical-guide.pdf&quot;&gt;Technical Guide&lt;/a&gt; for an overview of the typical QNSPECT workflow and a list of references. See the &lt;a href=&quot;https://coast.noaa.gov/digitalcoast/training/qnspect.html&quot;&gt;QNSPECT Tutorial&lt;/a&gt; for an interactive, self-paced introduction to the features and functionality of QNSPECT.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://coast.noaa.gov/digitalcoast/tools/qnspect.html]]></homepage>
        <file_name>QNSPECT.1.0.zip</file_name>
        <icon>/media/packages/2022/icon_MA29Bjv.svg</icon>
        <author_name><![CDATA[NOAA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QNSPECT/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[nspectadmin]]></uploaded_by>
        <create_date>2022-05-20T21:02:34.719107+00:00</create_date>
        <update_date>2022-05-31T17:35:44.269597+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NOAA-OCM/QNSPECT/issues]]></tracker>
        <repository><![CDATA[https://github.com/NOAA-OCM/QNSPECT]]></repository>
        <tags><![CDATA[ecology,python,analysis,flow,flood,processing,pollution,environment,erosion,rusle,comparison,non-point,source,screening,nonpoint,scenario,qnspect]]></tags>
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        <average_vote>4.272338878283793</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArrNorm" version="24.12" plugin_id="2700">
        <description><![CDATA[Apply the automatic relative radiometric normalization to the target image based on reference image using
the IR-MAD algorithm]]></description>
        <about><![CDATA[ArrNorm is a Qgis processing plugin for apply the radiometric normalization to the target image based on reference
image using the IR-MAD algorithm to locate invariant/variant pixels for a relative radiometric normalization]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>ArrNorm.24.12.zip</file_name>
        <icon>/media/packages/2024/arrnorm.png</icon>
        <author_name><![CDATA[Xavier Corredor Llano, SMByC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ArrNorm/version/24.12/download/</download_url>
        <uploaded_by><![CDATA[xaviercll]]></uploaded_by>
        <create_date>2022-05-21T00:38:52.971353+00:00</create_date>
        <update_date>2024-12-10T23:49:11.178957+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SMByC/ArrNorm-Qgis-processing/issues]]></tracker>
        <repository><![CDATA[https://github.com/SMByC/ArrNorm-Qgis-processing]]></repository>
        <tags><![CDATA[raster,processing,normalization]]></tags>
        <downloads>6062</downloads>
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        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Copy and Paste" version="1.0" plugin_id="2708">
        <description><![CDATA[Easily copy and paste features between QGIS layers]]></description>
        <about><![CDATA[This plug-in copies currently selected features in the map view to a target layer with a single click or Hotkey and commits them to the edit on that layer.
It also includes a copy-paste hot-key configuration. It&#x27;s intended for intensive human moderation of feature data.
Originally developed for mapping burnt areas from Object-Based Image Analysis (OBIA) polygons.
Author: Tom Lynch (Gaia Resources), Charles Darwin University, North Australia &amp; Rangelands Fire Information.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.1</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nafi-org/nafi-qgis]]></homepage>
        <file_name>naficp.1.0.zip</file_name>
        <icon>/media/packages/2022/icon_1AEh3WL.png</icon>
        <author_name><![CDATA[Trailmarker]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/naficp/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[nafigeospatial1]]></uploaded_by>
        <create_date>2022-05-31T05:47:55.521424+00:00</create_date>
        <update_date>2022-05-31T05:47:55.922105+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nafi-org/nafi-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/nafi-org/nafi-qgis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>5795</downloads>
        <average_vote>3.817834742296155</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FooODK" version="2.3" plugin_id="2709">
        <description><![CDATA[The plugin utilize the OpenDataKit (ODK) Central API (based on OpenData Standards) to enhance rapid data manipulations and quality check on both spatial and non-spatial data in Quantum Geographic Information System (QGIS). It performs data plotting, export, geotagging image/picture and analysis (pivot, graphs and wordcloud).]]></description>
        <about><![CDATA[Pulls data from ODK Central to QGIS, using ODK Central API(based on OData).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cutlan]]></homepage>
        <file_name>fooodk.2.3.zip</file_name>
        <icon>/media/packages/2026/icon_NuP6hmV.png</icon>
        <author_name><![CDATA[C-Langen R.M.M.M Mushi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fooodk/version/2.3/download/</download_url>
        <uploaded_by><![CDATA[cutlan]]></uploaded_by>
        <create_date>2022-05-31T10:06:46.772752+00:00</create_date>
        <update_date>2026-02-03T20:00:31.411186+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cutlan/QGIS-FooODK/issues]]></tracker>
        <repository><![CDATA[https://github.com/cutlan/QGIS-FooODK/]]></repository>
        <tags><![CDATA[python,qgis,api,odk,jodari,maji,miombo,central,jbidhaa,jbe]]></tags>
        <downloads>4982</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RoofDraw" version="1.0.0" plugin_id="2711">
        <description><![CDATA[This is a QGIS plugin that uses Google Earth Engine sentinel 2 image collection in projection EPSG:4326. the images classified using random forest algoritm and the result tiff is downloaded converted in vector file type shape and open inside current QGIS project.]]></description>
        <about><![CDATA[Develop by: Eixo território do Núcleo de Inteligência Territorial - NIT, Inteligência e Gestão Territorial - IT.DT e Fundação Parque Tecnológico Itaipu – Brasil em parceria com a Itaipu. Instructions of how to install required Python libs you can find in: https://gitlab.com/roofdraw/roof_draw/-/blob/main/README.md]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/roofdraw/roof_draw/-/wikis/ROOFDRAW]]></homepage>
        <file_name>roof_draw.1.0.0.zip</file_name>
        <icon>/media/packages/2022/icon_HjFU92f.png</icon>
        <author_name><![CDATA[PTI-TERRITORIO-ITDT-OPENSOURCE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/roof_draw/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[acfqgis]]></uploaded_by>
        <create_date>2022-05-31T10:41:06.187926+00:00</create_date>
        <update_date>2022-08-08T19:57:45.797099+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/roofdraw/roof_draw/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/roofdraw/roof_draw.git]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>5908</downloads>
        <average_vote>3.285244965004999</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Topographic Profile" version="1.0" plugin_id="2714">
        <description><![CDATA[This plugin generate a topographic profile from a CSV file.]]></description>
        <about><![CDATA[This plugin, by providing a csv file, generate a topographical elevation profile.
The csv must almost contain: peg number, ground levels, progressive distance as well as other optional information]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Korto19/Profili_CSV#profili_csv]]></homepage>
        <file_name>Topographical_profiles.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_XiaBM3I.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Topographical_profiles/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2022-06-05T14:29:21.021724+00:00</create_date>
        <update_date>2022-06-05T14:29:21.521369+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Korto19/Profili_CSV/issues]]></tracker>
        <repository><![CDATA[https://github.com/Korto19/Profili_CSV]]></repository>
        <tags><![CDATA[python,profile,topographic]]></tags>
        <downloads>26906</downloads>
        <average_vote>4.399824007039718</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ST_LUCAS Download Manager" version="2.0.1" plugin_id="2715">
        <description><![CDATA[QGIS plugin for accessing harmonized space-time aggregated LUCAS data provided by the ST_LUCAS system.]]></description>
        <about><![CDATA[This plugin provides possibility of retrieving the subsets of LUCAS data based on spatio-temporal and thematic filters provided by the ST_LUCAS system (https://geoforall.fsv.cvut.cz/st_lucas/). Points will be downloaded based on selected spatial, temporal and thematic filters. Downloaded data is stored as GPKG file in defined directory and automaticaly displayed in QGIS with predefined style. Plugin allows browsing photos and performing class aggregation or nomenclature translation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoforall.fsv.cvut.cz/st_lucas/]]></homepage>
        <file_name>st_lucas_download_manager.2.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_EOORab6.png</icon>
        <author_name><![CDATA[CTU GeoForAll Lab (Jaroslav Zeman, Tomas Boucek, Martin Landa)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/st_lucas_download_manager/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[martinl]]></uploaded_by>
        <create_date>2022-06-05T15:02:21.162739+00:00</create_date>
        <update_date>2025-07-15T12:29:33.792310+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/geoharmonizer_inea/st_lucas/st_lucas-qgis-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geoharmonizer_inea/st_lucas/st_lucas-qgis-plugin]]></repository>
        <tags><![CDATA[python,land cover,land use,lucas,st_lucas]]></tags>
        <downloads>4852</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VDIP" version="1.2" plugin_id="2716">
        <description><![CDATA[It computes site-specific soil line using NIR-Red band spectral space. Further, it estimates vegetation and drought indices.]]></description>
        <about><![CDATA[It computes site-specific soil line using NIR-Red band spectral space. Further, it estimates vegetation and drought indices that can be used to analyze agricultural land, soil conditions, crop health, etc.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nehakn/VDIP/blob/main/README.md]]></homepage>
        <file_name>vdip.1.2.zip</file_name>
        <icon>/media/packages/2023/icon_jNwKBzb.png</icon>
        <author_name><![CDATA[Neha K Nawandar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vdip/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[nnawandar]]></uploaded_by>
        <create_date>2022-06-09T12:34:47.315003+00:00</create_date>
        <update_date>2023-05-11T04:06:43.685175+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nehakn/VDIP/issues]]></tracker>
        <repository><![CDATA[https://github.com/nehakn/VDIP]]></repository>
        <tags><![CDATA[python,vegetation index,soil line,drought index]]></tags>
        <downloads>3054</downloads>
        <average_vote>4.374453193350831</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Density Analysis" version="2026.3.13" plugin_id="2717">
        <description><![CDATA[This plugin automates the creation of density heatmaps in QGIS with a heatmap explorer to examine the areas of greatest concentrations. It includes H3, geohash, and polygon density map algorithms along with several styling algorithms. It can paste a style onto all selected layers.]]></description>
        <about><![CDATA[This plugin adds six new density heatmap algorithms to QGIS including geohash, H3, and polygon density maps. It adds a vector density heatmap explorer to examine the areas of greatest concentrations. It wraps the QGIS Heatmap algorithm into a new version that automatically styles the layer and allows the user to specify the cell size in various units of measure and not just the units of the layer&#x27;s CRS. It provides an algorithm to create a raster density map of polygons. It has three processing algorithms to create a gradient style, random style, and raster pseudocolor style so that they can be used in QGIS models. Another tool allows a copied style or a .qml file to be pasted onto all selected layers. The plugin can be extended by installing the H3 library for blazing fast hexagon density maps.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.12.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-densityanalysis-plugin/#readme]]></homepage>
        <file_name>densityanalysis.2026.3.13.zip</file_name>
        <icon>/media/packages/2026/icon_kROtwSd.png</icon>
        <author_name><![CDATA[Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/densityanalysis/version/2026.3.13/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2022-06-16T13:07:28.200695+00:00</create_date>
        <update_date>2026-03-13T18:32:33.074254+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-densityanalysis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-densityanalysis-plugin]]></repository>
        <tags><![CDATA[analysis,style,kernel,copy,density,heatmap,heat map,paste,geohash,h3,paste style,pseudocolor,copy style,polygon density]]></tags>
        <downloads>123342</downloads>
        <average_vote>4.628145793002654</average_vote>
        <rating_votes>78</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ProcessX" version="1.7.1" plugin_id="2718">
        <description><![CDATA[This Plug-In adds a new processing provider to QGIS. It contains a great variety of different processing algorithms.]]></description>
        <about><![CDATA[This Plug-In provides a collection of various processing algorithms for QGIS. For example &quot;Split Lines at Nearest Points by Condition&quot;, &quot;Join Attributes by Nearest with Condition&quot;, &quot;Create Nested Grid&quot;, &quot;Nearest Points To Path&quot;, &quot;Conditional Intersection&quot;, &quot;Remove Self-Overlapping Portions&quot;, &quot;Translate Duplicate Features to Columns&quot;, &quot;Count Nearest Features by Category&quot;, etc. See Changelog or Readme for a complete list and more details.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mkoenigb/ProcessX]]></homepage>
        <file_name>ProcessX.1.7.1.zip</file_name>
        <icon>/media/packages/2024/icon_8pymQFV.png</icon>
        <author_name><![CDATA[Mario Koenigbauer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ProcessX/version/1.7.1/download/</download_url>
        <uploaded_by><![CDATA[mkoenigb]]></uploaded_by>
        <create_date>2022-06-16T19:36:47.598925+00:00</create_date>
        <update_date>2024-02-28T19:08:37.914322+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mkoenigb/ProcessX/issues]]></tracker>
        <repository><![CDATA[https://github.com/mkoenigb/ProcessX]]></repository>
        <tags><![CDATA[python,analysis,processing,provider,opentripplanner,algorithm,creation,conditional]]></tags>
        <downloads>18467</downloads>
        <average_vote>4.666472230323737</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="JAXA Earth API Plugin" version="2.1.3" plugin_id="2720">
        <description><![CDATA[QGIS Plugin for JAXA Earth API, easily get satellite datasets.]]></description>
        <about><![CDATA[QGIS Plugin for JAXA Earth API]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MIERUNE/qgis-jaxa-earth-plugin]]></homepage>
        <file_name>qgis-jaxa-earth-plugin-master.2.1.3.zip</file_name>
        <icon>/media/packages/2025/icon_vzaFfZd.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-jaxa-earth-plugin-master/version/2.1.3/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
        <create_date>2022-06-20T07:56:41.770821+00:00</create_date>
        <update_date>2025-10-23T08:07:11.057026+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/qgis-jaxa-earth-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/qgis-jaxa-earth-plugin]]></repository>
        <tags><![CDATA[python,raster,satellite,stac,cog,jaxa]]></tags>
        <downloads>19088</downloads>
        <average_vote>4.760496331037591</average_vote>
        <rating_votes>71</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Cutter" version="0.7.0" plugin_id="2721">
        <description><![CDATA[Export a raster layer as an image. Select extent, reproject, create Worldfile or Lexocad sidecar files.]]></description>
        <about><![CDATA[This plugin allows the user to select a raster layer from his project, set an extent and export the raster data within this extent to a .jpg or .png image file.
Additionally, the plugin can create a Worldfile and/or Lexocad sidecar file if desired. The plugin also supports re-projection into other Coordinate Reference Systems.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geometalab/qgis-raster-cutter/blob/main/README.md]]></homepage>
        <file_name>raster_cutter.0.7.0.zip</file_name>
        <icon>/media/packages/2026/icon_djNM8s3.png</icon>
        <author_name><![CDATA[Fabio Zahner]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raster_cutter/version/0.7.0/download/</download_url>
        <uploaded_by><![CDATA[geometalab]]></uploaded_by>
        <create_date>2022-06-21T12:58:26.728315+00:00</create_date>
        <update_date>2026-03-03T13:25:59.420106+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geometalab/qgis-raster-cutter/issues]]></tracker>
        <repository><![CDATA[https://github.com/geometalab/qgis-raster-cutter]]></repository>
        <tags><![CDATA[python,raster,crs,gdal]]></tags>
        <downloads>36502</downloads>
        <average_vote>3.761725632112756</average_vote>
        <rating_votes>21</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Saveecobot Loader" version="1.4" plugin_id="2722">
        <description><![CDATA[This plugins loads AQI data from Safeecobot]]></description>
        <about><![CDATA[Saveecobot Loader loads data from https://www.saveecobot.com/en/radiation-maps e.g. https://www.saveecobot.com/storage/maps_data]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_kttIh8W.png</icon>
        <author_name><![CDATA[Bundesamt für Strahlenschutz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/saveecobot_loader/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[mlechner]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenBfS/bfs_saveecobot_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenBfS/bfs_saveecobot_loader]]></repository>
        <tags><![CDATA[python]]></tags>
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        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IRMIS Json Loader" version="1.2" plugin_id="2723">
        <description><![CDATA[This plugin imports IRMIS Json files into QGIS]]></description>
        <about><![CDATA[This plugin imports JSON files from IAEA IRMIS into QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OpenBfS/irmis_json_loader]]></homepage>
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        <icon>/media/packages/2025/icon_k7byjLy.png</icon>
        <author_name><![CDATA[Marco Lechner, Bundesamt für Strahlenschutz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/irmis_json_loader/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[mlechner]]></uploaded_by>
        <create_date>2022-06-22T19:55:58.264118+00:00</create_date>
        <update_date>2025-04-24T14:59:24.220226+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenBfS/irmis_json_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenBfS/irmis_json_loader]]></repository>
        <tags><![CDATA[python iaea radiation irmis]]></tags>
        <downloads>1814</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Canvas Coordinates" version="1.0" plugin_id="2725">
        <description><![CDATA[This plugin shows the coordinates of the canvas extent and selected area in WKT and JSON format.]]></description>
        <about><![CDATA[This plugin shows the coordinates of the canvas extent and selected area in WKT and JSON format.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_canvas_coordinates_plugin]]></homepage>
        <file_name>canvas_coordinates.1.0.zip</file_name>
        <icon>/media/packages/2022/icon_Q09I78P.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/canvas_coordinates/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2022-07-01T06:51:35.395996+00:00</create_date>
        <update_date>2022-07-01T06:51:35.763773+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_canvas_coordinates_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_canvas_coordinates_plugin]]></repository>
        <tags><![CDATA[wkt,canvas,coordinate,json]]></tags>
        <downloads>7630</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MultiJoin" version="1.0" plugin_id="2727">
        <description><![CDATA[Join in a new layer n fields taken from other n layer having the same field]]></description>
        <about><![CDATA[This plugin generates a new temporary level with all fields from a source level and further n fields taken from other n levels having the same field]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Korto19/MultiJoin#multijoin]]></homepage>
        <file_name>MultiJoin.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_ngIR7X9.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MultiJoin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2022-07-04T07:33:55.712582+00:00</create_date>
        <update_date>2022-07-04T07:33:56.071287+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Korto19/MultiJoin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Korto19/MultiJoin]]></repository>
        <tags><![CDATA[vector,python,merge,fields,field,join]]></tags>
        <downloads>6424</downloads>
        <average_vote>4.24946881639795</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Here Route API Plugin" version="1.5" plugin_id="2728">
        <description><![CDATA[QGIS Plugin for HERE-API]]></description>
        <about><![CDATA[QGIS Plugin for HERE-API]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MIERUNE/qgis-here-api-plugin]]></homepage>
        <file_name>qgis-here-api-plugin.1.5.zip</file_name>
        <icon>/media/packages/2025/icon_mXRAGry.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-here-api-plugin/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
        <create_date>2022-07-06T04:18:03.748824+00:00</create_date>
        <update_date>2025-10-23T08:05:53.262817+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/qgis-here-api-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/qgis-here-api-plugin]]></repository>
        <tags><![CDATA[python,routing,here,routematching]]></tags>
        <downloads>7620</downloads>
        <average_vote>4.28510212826739</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeodiversityCalculator" version="2.1" plugin_id="2731">
        <description><![CDATA[This plugin calculates geodiversity over a custom polygon.]]></description>
        <about><![CDATA[This plugin calculates geodiversity over a custom polygon. These are the thematic subindices: geology, soil, relief, hydrography (line and polygon features), mineralogy and palaeontology.  Mostly QGIS proccessing tools and Saga tools are implemented in the code.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://terkep.elte.hu]]></homepage>
        <file_name>geodiversity_calculator.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_gDixIGk.png</icon>
        <author_name><![CDATA[Marton Pal, Emmanuel Owusu-Acheampong]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geodiversity_calculator/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[2683]]></uploaded_by>
        <create_date>2022-07-07T06:07:15.698297+00:00</create_date>
        <update_date>2026-01-28T17:21:17.682313+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marchello-map/geodiversity_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/marchello-map/geodiversity_plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1068</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geodata to ENVI-met" version="4.4" plugin_id="2732">
        <description><![CDATA[This plugin lets you export ENVI-met model areas from geodata, run microclimate simulations from QGIS and also enables you to visualize climate model results in QGIS]]></description>
        <about><![CDATA[ENVI-met is a three-dimensional microclimate model designed to simulate the building-surface-plant-air interactions in urban environment
Typical areas of application are Architecture, Landscape Architecture, Building Design or Environmental Planing, Science and many more...
&lt;br&gt;ENVI-met is a prognostic model based on the fundamental laws of fluid dynamics and thermodynamics. The model includes the simulation of:
&lt;ul&gt;
&lt;li&gt;Flow around and between buildings
&lt;li&gt;Exchange processes at the ground surface and at building walls
&lt;li&gt;Building physics
&lt;li&gt;Impact of vegetation of the local microclimate
&lt;li&gt;Bioclimatology
&lt;li&gt;Pollutant dispersion
&lt;/ul&gt;
With ENVI-met, you will be able to simulate the urban microclimate as an interactive system consisting of dozens of dynamic subsystems ranging from atmospheric dynamics, over soil physics, vegetation response down to building indoor climate.

&lt;br&gt;For the official documentation and tutorials, please see the website at &lt;a href=&quot;https://envi-met.info/doku.php?id=apps:gis4envi-met&quot;&gt;https://envi-met.info&lt;/a&gt;.
&lt;br&gt;Download a copy of ENVI-met at &lt;a href=&quot;https:www.envi-met.com&quot;&gt;www.envi-met.com&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.envi-met.com]]></homepage>
        <file_name>geodata2envimet.4.4.zip</file_name>
        <icon>/media/packages/2026/icon_Hn3kxUh.png</icon>
        <author_name><![CDATA[Helge Simon]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geodata2envimet/version/4.4/download/</download_url>
        <uploaded_by><![CDATA[hsi]]></uploaded_by>
        <create_date>2022-07-08T08:51:54.246487+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/One-Click-LCA/geodata2ENVI-met/issues]]></tracker>
        <repository><![CDATA[https://github.com/One-Click-LCA/geodata2ENVI-met]]></repository>
        <tags><![CDATA[python,modelling,climate,urban climate,environment,simulation,microclimate,envi-met,envimet,envi_met]]></tags>
        <downloads>22605</downloads>
        <average_vote>4.73288985782697</average_vote>
        <rating_votes>161</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QTribu" version="1.4.5" plugin_id="2733">
        <description><![CDATA[Geotribu (https://geotribu.fr) content right into QGIS.]]></description>
        <about><![CDATA[Keep in touch with your GIS Tribe!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.4</qgis_minimum_version>
        <qgis_maximum_version>4.10.15</qgis_maximum_version>
        <homepage><![CDATA[https://geotribu.github.io/qtribu/]]></homepage>
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        <icon>/media/packages/2026/logo_geotribu_HLk7G0f.png</icon>
        <author_name><![CDATA[Julien Moura (Geotribu), Guilhem Allaman (Geotribu)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qtribu/version/1.4.5/download/</download_url>
        <uploaded_by><![CDATA[geotribu]]></uploaded_by>
        <create_date>2022-07-12T22:02:29.609592+00:00</create_date>
        <update_date>2026-04-13T07:48:10.341563+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geotribu/qtribu/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geotribu/qtribu/]]></repository>
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        <average_vote>4.713949003642597</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Numerar Lote" version="0.6" plugin_id="2735">
        <description><![CDATA[GENERATE REAL ESTATE LOT NUMBERING]]></description>
        <about><![CDATA[This tool aims to propose to the user the possibility of automatically generating the lot numbering, either in sequential numbering or by the measurement of its tested, in both methodologies, the user will need to define only the initial lot of each block so that the tool manage the other numbers, always clockwise.


Esta ferramenta visa propor ao usuário a possibilidade de gerar de forma automática a numeração do lote, seja ela em numeração sequencial ou pela medida da testada deste, em ambas as metodologias, o usuário necessitará definir apenas o lote inicial de cada quadra para que a ferramenta gere as demais numerações, sempre em sentido horário.


Visualisar: &lt;a href=&#x27;https://github.com/AntonioTLeandro/Numerar_Lotes/blob/main/TUTORIAL_GERAR_NUMERACAO_D_LOTE.pdf&#x27;&gt;Manual do Plugin&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.6</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_56wVL4w.png</icon>
        <author_name><![CDATA[Gloria Santos, Antonio Teles]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/numerar_lote/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[antonioteles]]></uploaded_by>
        <create_date>2022-07-13T13:20:28.162084+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AntonioTLeandro/Numerar_Lotes/issues]]></tracker>
        <repository><![CDATA[https://github.com/AntonioTLeandro/Numerar_Lotes/tree/master]]></repository>
        <tags><![CDATA[imobiliario,lote,cadastro,loteamento,numerar]]></tags>
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        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QMapa GML 2021" version="2.4.1" plugin_id="2739">
        <description><![CDATA[Wizualizacja mapy zasadniczej z plików GML obejmujących zbiory danych EGiB, GESUT i BDOT500. EN: Visualization of the base map from GML files covering the EGiB, GESUT, and BDOT500 datasets.]]></description>
        <about><![CDATA[Wtyczka działa na plikach GML sporządzonych zgodnie z modelami danych 2021. Prezentacja kartograficzna obiektów na mapie jest realizowana wg standardów opublikowanych w rozporządzeniu Ministra Rozwoju, Pracy i Technologii z dnia 23 lipca 2021 r. w sprawie bazy danych obiektów topograficznych oraz mapy zasadniczej. EN: The plugin works with GML files prepared in accordance with the 2021 data models. The cartographic presentation of objects on the map is carried out in accordance with the standards published in the Regulation of the Minister of Development, Labour and Technology of 23 July 2021 on the database of topographic objects and the base map.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.geoxy.pl/]]></homepage>
        <file_name>QMapa.2.4.1.zip</file_name>
        <icon>/media/packages/2026/icon_jjSDrai.png</icon>
        <author_name><![CDATA[GEOXY sp. z o.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QMapa/version/2.4.1/download/</download_url>
        <uploaded_by><![CDATA[geoxy]]></uploaded_by>
        <create_date>2022-07-21T20:43:21.700440+00:00</create_date>
        <update_date>2026-03-30T14:21:00.321916+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoxyIT/QMapa/issues]]></tracker>
        <repository><![CDATA[https://github.com/geoxyIT/QMapa]]></repository>
        <tags><![CDATA[import,gml,mapa,bdot,zasadnicza,geoxy,2021,gesut,egib,egb,bdot500]]></tags>
        <downloads>31003</downloads>
        <average_vote>4.499945122620455</average_vote>
        <rating_votes>82</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Diachronix" version="1.0" plugin_id="2740">
        <description><![CDATA[A plugin to segment a river bed into regular blocks for the automatic extraction of active channel width along a segmented reach]]></description>
        <about><![CDATA[This plugin divides any longitudinal fluvial polygon into regular units to analyse its planimetric evolution over time or its longitudinal pattern. This allows to consistently track over time the evolution of active channels. In order to use this plugin, the SAGA GIS tools should be activated.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.huma-num.fr/ppassy/diachronix]]></homepage>
        <file_name>diachronix.1.0.zip</file_name>
        <icon>/media/packages/2022/active_channel_evolution_icon_fr60Lz5.png</icon>
        <author_name><![CDATA[Paul Passy (Université Paris Cité), Frédéric Liébault (INRAE), Guillaume Piton (INRAE), Margot Chapuis (Université Côte d&#x27;Azur), Gabriel Melun (OFB), Sylvain Théry (CNRS), Judith Nabec, Estelle Stefanini, Damien D-Arras and Fernando Rico-Quintero]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/diachronix/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[paulpassy]]></uploaded_by>
        <create_date>2022-07-22T09:09:16.653016+00:00</create_date>
        <update_date>2022-07-27T10:21:54.251796+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.huma-num.fr/ppassy/diachronix/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.huma-num.fr/ppassy/diachronix]]></repository>
        <tags><![CDATA[hydrology,river,active channel,fluvial geomorphology,flood plain,active channel width extraction]]></tags>
        <downloads>3175</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QTDC" version="2020.7.7" plugin_id="2741">
        <description><![CDATA[QGIS Time Data Control (QTDC):  A plugin for animating time-tagged data]]></description>
        <about><![CDATA[QTDC adds an interactive data animation capability to QGIS for vector layers having a time attribute.

The user can interactively control animation and specify the animation time context,
specifically: when in time, how much time, and how fast to animate the time-tagged data.

Multiple layers can be animated with QTDC simultaneously.

The UI also provides a histogram representation of data volume over time for each loaded layer.

The histogram doubles as a control for adjusting where in time and how much time to display.

Animation is bi-directional and is controlled either with UI buttons or with mouse gestures on the histogram.

There is also a basic API that exposes a subset of QTDC operations for interaction with other plugins.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/mitre/QgisTDC]]></homepage>
        <file_name>QgisTDC.2020.7.7.zip</file_name>
        <icon>/media/packages/2022/icon_8rD6f82.png</icon>
        <author_name><![CDATA[MITRE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QgisTDC/version/2020.7.7/download/</download_url>
        <uploaded_by><![CDATA[qtdc]]></uploaded_by>
        <create_date>2022-07-22T18:02:17.908648+00:00</create_date>
        <update_date>2022-07-22T18:02:18.388476+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/mitre/QgisTDC/issues]]></tracker>
        <repository><![CDATA[http://github.com/mitre/QgisTDC]]></repository>
        <tags><![CDATA[time,histogram,date,timeline,temporal context,interactive animation,time attribute]]></tags>
        <downloads>2691</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Prisma" version="6.0.1" plugin_id="2744">
        <description><![CDATA[Plugin para fazer caracterização de imóveis]]></description>
        <about><![CDATA[Plugin to perform characterization and overlap analysis of properties with areas of the Federal Government]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/spuhub/prisma]]></homepage>
        <file_name>prisma.6.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_FBkG6Kk.png</icon>
        <author_name><![CDATA[SPU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/prisma/version/6.0.1/download/</download_url>
        <uploaded_by><![CDATA[spume]]></uploaded_by>
        <create_date>2022-07-28T17:14:56.774812+00:00</create_date>
        <update_date>2024-12-16T14:02:40.327619+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/spuhub/prisma.git]]></tracker>
        <repository><![CDATA[https://github.com/spuhub/prisma.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4988</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TopoTijdreis" version="1.2" plugin_id="2751">
        <description><![CDATA[This plugin loads all historic maps from 1815-2025 from topotijdreis.nl into QGIS]]></description>
        <about><![CDATA[Qgis plugin that allows you to load all TopoTijdreis.nl map layers (1815-2025) into QGIS as a group.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BK-85/topotijdreis]]></homepage>
        <file_name>topo_tijdreis.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_x22549r.png</icon>
        <author_name><![CDATA[A.G.J. Hullegie]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/topo_tijdreis/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[bk85]]></uploaded_by>
        <create_date>2022-08-09T15:40:47.538652+00:00</create_date>
        <update_date>2026-02-08T00:39:38.981791+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BK-85/topotijdreis/issues]]></tracker>
        <repository><![CDATA[https://github.com/BK-85/topotijdreis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>15078</downloads>
        <average_vote>4.117404858537733</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dynamic Provider Filter Plugin" version="1.0" plugin_id="2752">
        <description><![CDATA[QGIS plugin to dynamically set provider filters using QGIS variable replacement.]]></description>
        <about><![CDATA[QGIS plugin to dynamically set provider filters using QGIS variable replacement.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/elpaso/qgis-subset-expression-plugin]]></homepage>
        <file_name>qgis-subset-expression-plugin.1.0.zip</file_name>
        <icon>/media/packages/2022/mActionFilter2.svg</icon>
        <author_name><![CDATA[Alessandro Pasotti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-subset-expression-plugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[elpaso]]></uploaded_by>
        <create_date>2022-08-11T09:27:35.680468+00:00</create_date>
        <update_date>2022-08-11T09:27:36.048945+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/elpaso/qgis-subset-expression-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/elpaso/qgis-subset-expression-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2120</downloads>
        <average_vote>4.28510212826739</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Check, Define &amp; Convert CRS" version="1.0" plugin_id="2753">
        <description><![CDATA[Check, define and convert CRS]]></description>
        <about><![CDATA[This plugin have 3 functions: check, defined and convert coordinate system. Developed by Green Field, Ltd.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lequynhhoa/ConvertTools_QGIS3]]></homepage>
        <file_name>CheckDefConv.1.0.zip</file_name>
        <icon>/media/packages/2022/icon_qO3UYX2.png</icon>
        <author_name><![CDATA[GFD]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CheckDefConv/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[hoalegfd]]></uploaded_by>
        <create_date>2022-08-12T07:48:11.770691+00:00</create_date>
        <update_date>2022-08-18T23:35:07.919993+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lequynhhoa/ConvertTools_QGIS3/issues]]></tracker>
        <repository><![CDATA[https://github.com/lequynhhoa/ConvertTools_QGIS3]]></repository>
        <tags><![CDATA[python,crs,convert,vn2000,gfd,check,define]]></tags>
        <downloads>9315</downloads>
        <average_vote>3.832694550908182</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="XPlan-Reader" version="0.37.0" plugin_id="2755">
        <description><![CDATA[Import XPlan-GML]]></description>
        <about><![CDATA[Remark:
This plugin loads XPlan-GML. XPlanung is a German standard for spatial planning data, that&#x27;s why the plugin is only available in German language.

Mit diesem Tool kann eine XPlanGML-Datei in QGIS mit vordefinierter Layerreihenfolge und Styling importiert werden, z.B.
- zur Visualisierung
- zur Qualitätssicherung
- oder auch zum Erstellen eines QGIS-Server-Projektes, etwa um einen WMS eines Flächennutzungsplans zu veröffentlichen.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.26.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kreis-viersen/xplan-reader/]]></homepage>
        <file_name>xplan-reader.0.37.0.zip</file_name>
        <icon>/media/packages/2026/xplan_reader_icon_WhMzUPG.png</icon>
        <author_name><![CDATA[Kreis Viersen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xplan-reader/version/0.37.0/download/</download_url>
        <uploaded_by><![CDATA[kreisviersen]]></uploaded_by>
        <create_date>2022-08-15T15:10:31.231082+00:00</create_date>
        <update_date>2026-03-10T13:00:11.338252+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kreis-viersen/xplan-reader/issues/]]></tracker>
        <repository><![CDATA[https://github.com/kreis-viersen/xplan-reader/]]></repository>
        <tags><![CDATA[xplanung,bebauungsplan,bplan,xplan,fnp,flächennutzungsplan]]></tags>
        <downloads>29575</downloads>
        <average_vote>4.654460827984946</average_vote>
        <rating_votes>55</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Maxent Model" version="1.0" plugin_id="2759">
        <description><![CDATA[Maxent mapping adapter for QGIS. Adaptador de cartografía Maxent para QGIS]]></description>
        <about><![CDATA[This plugin will help you to adapt your coordinates and environmental variables for file input in Maxent respecting CSV and ASCII file formats and structure during the construction of potential species distribution models (SDM).
Este complemento te ayudará a adaptar las coordenadas y variables ambientales de tu cartografía para poder importarla en Maxent, respetando los formatos y estructura de archivos CSV y ASCII durante la construcción de modelos de distribución potencial de especies (SDM).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoinnova.org/plugins/]]></homepage>
        <file_name>maxent_model.1.0.zip</file_name>
        <icon>/media/packages/2022/icon_DC3LbE6.png</icon>
        <author_name><![CDATA[Roberto Matellanes (Gis&amp;Beers, processing tools). Patricio Soriano (Geoinnova, plugin development)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/maxent_model/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[geoinnova]]></uploaded_by>
        <create_date>2022-08-22T08:19:52.065891+00:00</create_date>
        <update_date>2022-08-22T08:19:54.312727+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoinnova/maxent-model-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/geoinnova/maxent-model-qgis-plugin]]></repository>
        <tags><![CDATA[ecology,species,biodiversity,sdm,maxent,modeling]]></tags>
        <downloads>6417</downloads>
        <average_vote>3.2855969429663223</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="STL Generator" version="1.1.0" plugin_id="2760">
        <description><![CDATA[Generate STLs for 3D printing]]></description>
        <about><![CDATA[Plugin for generating a STL file based off of a raster file. Excludes nodata regions from the generated STL.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://suheybaden.github.io/STL_Generator-QGIS_Plugin/]]></homepage>
        <file_name>STL_Generator.1.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_0R1Su8h.png</icon>
        <author_name><![CDATA[Suheyb Aden]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/STL_Generator/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[suheyb21]]></uploaded_by>
        <create_date>2022-08-22T19:03:57.093256+00:00</create_date>
        <update_date>2024-12-10T23:40:51.896859+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SuheybAden/STL_Generator-QGIS_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/SuheybAden/STL_Generator-QGIS_Plugin]]></repository>
        <tags><![CDATA[raster,3d printing,stl]]></tags>
        <downloads>8114</downloads>
        <average_vote>4.319827206911723</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ProjectUTM" version="1.4" plugin_id="2765">
        <description><![CDATA[Set CRS of the Project to the UTM Zone of the area.]]></description>
        <about><![CDATA[Set CRS of the Project to the UTM Zone corresponding to the center
of the extend of the active layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/florianneukirchen/qgis-project-as-utm]]></homepage>
        <file_name>qgis-project-as-utm.1.4.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Florian Neukirchen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-project-as-utm/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[riannek]]></uploaded_by>
        <create_date>2022-09-06T13:52:39.726435+00:00</create_date>
        <update_date>2026-03-13T18:06:03.411686+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/florianneukirchen/qgis-project-as-utm/issues]]></tracker>
        <repository><![CDATA[https://github.com/florianneukirchen/qgis-project-as-utm]]></repository>
        <tags><![CDATA[vector,crs,utm]]></tags>
        <downloads>15184</downloads>
        <average_vote>4.23044381201446</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ETL Connector for ODK" version="2.0" plugin_id="2768">
        <description><![CDATA[Plugin to connect to the ODK (Open Data Kit) for data retrieval.]]></description>
        <about><![CDATA[This plugIn connects you to your ODK instance using API link and form id and then loads the data to QGIS in shapefile, geopackage or csv.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://demevengderrick.gitbook.io/etl-connector-for-odk/]]></homepage>
        <file_name>odkconnector2.2.0.zip</file_name>
        <icon>/media/packages/2023/icon_pOG5HCq.png</icon>
        <author_name><![CDATA[Derrick Demeveng]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/odkconnector2/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[cydd]]></uploaded_by>
        <create_date>2022-09-08T11:45:27.767076+00:00</create_date>
        <update_date>2023-12-31T20:50:55.592146+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DemevengDerrick/ETL-Connector-for-ODK/issues]]></tracker>
        <repository><![CDATA[https://github.com/DemevengDerrick/odkconnector]]></repository>
        <tags><![CDATA[python,connector,open data kit,odk]]></tags>
        <downloads>4865</downloads>
        <average_vote>4.777711420674713</average_vote>
        <rating_votes>72</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Nearest with greater value" version="2.2" plugin_id="2769">
        <description><![CDATA[Get name (or ID) of and distance to the nearest feature with greater value in a certain field of a point layer.
Returns point layer with added attributes and a line layer with connecting lines.]]></description>
        <about><![CDATA[For each feature on a vector layer, get name (or ID) of and distance to the nearest neighbour with greater value in a certain field. On line or polygon layers, distance is calculated between the center points of the bounding boxes. Since version 2.0, distance is calculated on the WGS84 ellipsoid (not on the layer plane) by default.
The main output is a layer with added attributes neargtdist (distance), neargtdelta (difference in value), neargtname (name or ID), neargtcount. Note that the features are sorted from lowest to greatest value of the field that was used to compare values.
The field neargtcount gives the value of incoming connecting lines linking to points with smaller value.
Also returns a lines layer with connecting lines, as well as basic statistics of the distances and deltas (min, max, mean, quantiles).
Use cases: Which is the next larger city? How far is the next higher building? Which is the closest peak with higher elevation?
Useful for spatial analysis or to categorize features in order to apply different styles (e.g. major and minor summits).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.riannek.de/code/qgis-nearest-with-greater/]]></homepage>
        <file_name>qgis_nearest_greater.2.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Florian Neukirchen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_nearest_greater/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[riannek]]></uploaded_by>
        <create_date>2022-09-09T14:36:04.382252+00:00</create_date>
        <update_date>2026-03-13T17:42:48.907672+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/florianneukirchen/qgis_nearest_greater/issues]]></tracker>
        <repository><![CDATA[https://github.com/florianneukirchen/qgis_nearest_greater]]></repository>
        <tags><![CDATA[vector,closest,python,point,distance,nearest]]></tags>
        <downloads>4969</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SecQuery" version="1.0.0" plugin_id="2770">
        <description><![CDATA[Render geodesic buffers with 4-32 sectors and query the point data in them.]]></description>
        <about><![CDATA[SecQuery is a tool for rendering geodesic buffers with a
specified number of sectors. Buffer radius can be specified
in cm, m, km, in, ft, mi, nmi or yd. The number of sectors
and smoothness of buffer can be configured via user input.
The tool also provides the functionality of displaying 16
directional labels. The center point of the buffer can be
entered manually or selected from the canvas. The buffer,
sectors and direction labels are added as Memory Layers.
A Point Layer and a CRS for this Layer are taken as input.
The data in a sector can be queried with a map tool which
identifies a sector from mouse click coordinates. The
queried data is added as a Memory Layer with Point data
of selected sector.The attribute table for these layers
are displayed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://srividya-p.github.io/SecQuery/]]></homepage>
        <file_name>secquery.1.0.0.zip</file_name>
        <icon>/media/packages/2022/icon_OcHzMJm.png</icon>
        <author_name><![CDATA[Srividya Subramanian]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/secquery/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[srividyas]]></uploaded_by>
        <create_date>2022-09-11T10:00:10.051934+00:00</create_date>
        <update_date>2022-09-11T10:00:10.527199+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/srividya-p/SecQuery/issues]]></tracker>
        <repository><![CDATA[https://github.com/srividya-p/SecQuery]]></repository>
        <tags><![CDATA[python,point,select,join,circle,sector]]></tags>
        <downloads>2033</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PEC_Avalia" version="1.0" plugin_id="2775">
        <description><![CDATA[Realiza a avaliação da acurácia posicional em produtos e dados cartográficos, a partir de normas e padrões brasileiros]]></description>
        <about><![CDATA[Este plugin possibilita executar a avaliação da acurácia posicional em produtos e dados cartográficos a partir de três normas/padrões brasileiros: (i) Decreto nº 89.817 / ET-CQDG; (ii) NBR 13.133, versão 1994; (iii) norma de execução nº 02 de 2018 do INCRA. Para sua aplicação é necessário dispor de uma camada vetorial de teste (produto avaliado) e uma camada vetorial dos dados de referência. Ao executar o processo, o plugin gera um arquivo .txt com o relatorio do processamento e a classificação de acordo com a norma utilizada.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/isaacantunes/PEC-Avalia]]></homepage>
        <file_name>pec_avalia.1.0.zip</file_name>
        <icon>/media/packages/2022/pec_avalia.png</icon>
        <author_name><![CDATA[Isaac Antunes Miranda Junior; Afonso de Paula dos Santos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pec_avalia/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[isaacantunes]]></uploaded_by>
        <create_date>2022-09-13T13:38:31.014350+00:00</create_date>
        <update_date>2022-09-13T13:38:33.661463+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/isaacantunes/PEC-Avalia/issues]]></tracker>
        <repository><![CDATA[https://github.com/isaacantunes/PEC-Avalia]]></repository>
        <tags><![CDATA[analysis,brasil,standard,spatial data quality,controle de qualidade cartográfica,positional accuracy,acurácia posicional,brazil,cartografia,incra,ufv,pec,qualidade,decreto 89817,et-cqdg,nbr 13133,pec-pcd]]></tags>
        <downloads>2129</downloads>
        <average_vote>4.615029613106684</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CO2_Sequestration" version="0.1" plugin_id="2776">
        <description><![CDATA[This plugin predicts the tree CO2 Sequestration by simply knowing the tree Diameter at Breast Height (DBH) and height of the tree.]]></description>
        <about><![CDATA[This plugin predicts the tree CO2 Sequestration by simply knowing the tree Diameter at Breast Height (DBH) and height of the tree.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ilayarajak/CO2Sequestration]]></homepage>
        <file_name>co2_sequestration.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_Ct3N3oG.png</icon>
        <author_name><![CDATA[Dr. K. Ilayaraja and Prasanna Kumar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/co2_sequestration/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[drilayaraja]]></uploaded_by>
        <create_date>2022-09-14T11:31:34.050509+00:00</create_date>
        <update_date>2022-09-14T11:31:34.416512+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ilayarajak/CO2Sequestration/issues]]></tracker>
        <repository><![CDATA[https://github.com/ilayarajak/CO2Sequestration]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3080</downloads>
        <average_vote>3.8419030577338034</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Groundwater Buffer Raster" version="0.85" plugin_id="2781">
        <description><![CDATA[Expands and interpolates edge values of Water Surface Elevation (WSE) rasters to produce groundwater (GW) buffer rasters]]></description>
        <about><![CDATA[Created for QGIS version 3.22.8 and has not been tested for later versions. Requires both a WSE raster file and a complimentary vector file. Vector file may require smoothing or simplification to be applied to the plugin; see repository for more info.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.8</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/blairscriven/Groundwater-Buffer-Raster]]></homepage>
        <file_name>Groundwater-Buffer-Raster.0.85.zip</file_name>
        <icon>/media/packages/2023/icon_t9Wqeir.png</icon>
        <author_name><![CDATA[Blair William Gerald Scriven]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Groundwater-Buffer-Raster/version/0.85/download/</download_url>
        <uploaded_by><![CDATA[bwgscriven]]></uploaded_by>
        <create_date>2022-09-19T19:42:47.257264+00:00</create_date>
        <update_date>2023-03-06T15:59:38.139579+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/blairscriven/Groundwater-Buffer-Raster/issues]]></tracker>
        <repository><![CDATA[https://github.com/blairscriven/Groundwater-Buffer-Raster]]></repository>
        <tags><![CDATA[hydrology,flood,buffer,groundwater,wse]]></tags>
        <downloads>6262</downloads>
        <average_vote>2.499375156210947</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geotuileur" version="1.1.0" plugin_id="2782">
        <description><![CDATA[Ce plugin a été avantageusement remplacé par le plugin Géoplateforme : https://plugins.qgis.org/plugins/geoplateforme/

Plugin associated with the IGN France service of the same name: Geotuileur.]]></description>
        <about><![CDATA[It allows an authenticated user to upload and host his data on the Geoplatform in order to distribute them via vector tile services for which he chooses a number of parameters.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/ign-geotuileur/]]></homepage>
        <file_name>geotuileur.1.1.0.zip</file_name>
        <icon>/media/packages/2025/logo-geotuileur.svg</icon>
        <author_name><![CDATA[Oslandia, IGN France]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geotuileur/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2022-09-20T15:35:53.387363+00:00</create_date>
        <update_date>2025-09-05T08:48:51.376069+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/ign-geotuileur/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/ign-geotuileur/]]></repository>
        <tags><![CDATA[vector tile,géotuileur,ign france,géoplateforme,tippecanoe]]></tags>
        <downloads>3110</downloads>
        <average_vote>3.888456838129097</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SenseRemote Detection" version="0.1.0" plugin_id="2783">
        <description><![CDATA[AI detection algorithms for remote sensing images.]]></description>
        <about><![CDATA[AI detection algorithms for remote sensing images.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://rs.sensetime.com]]></homepage>
        <file_name>sense_detection.0.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Xu Xiang]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sense_detection/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[atlasxu]]></uploaded_by>
        <create_date>2022-09-22T08:07:28.661859+00:00</create_date>
        <update_date>2022-09-22T08:07:30.747510+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cartosquare/qgis-plugin-senseremote-detection/issues]]></tracker>
        <repository><![CDATA[https://github.com/cartosquare/qgis-plugin-senseremote-detection]]></repository>
        <tags><![CDATA[segmentation,ai]]></tags>
        <downloads>3495</downloads>
        <average_vote>2.285387801742608</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BecaGIS" version="24.11.6" plugin_id="2784">
        <description><![CDATA[BecaGIS GeoProcessing, Field Calculation Tools and Expressions]]></description>
        <about><![CDATA[- Vector: Create Antipodal layer, the closest and farthest pair of points, the most isolated point, and the largest empty circle of a point set, the maximum inscribed circle of polygons, the Skeleton/ Medial Axis of Polygons, Split Polygon into (almost) equal parts based on voronoi Diagram, Swap X, Y, XY, and Create Wedge Buffers; 

- Attributes: Vietnamese Font Converter: TCVN3 &lt;--&gt; Unicode &lt;--&gt; VNI-Windows &lt;--&gt; Unaccented; UPPER CASE &lt;--&gt; lower case &lt;--&gt; Capitalize Each Word &lt;--&gt; Sentence case &lt;--&gt; sWAP Case; - Expressions: antipode, capitalize, unaccent, swapcase, tcvn3_unicode, unicode_tcvn3, vni_unicode, unicode_vni]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gishub.vn]]></homepage>
        <file_name>becagis.24.11.6.zip</file_name>
        <icon>/media/packages/2026/becagis_logo.png</icon>
        <author_name><![CDATA[Thang Quach]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/becagis/version/24.11.6/download/</download_url>
        <uploaded_by><![CDATA[thangqd]]></uploaded_by>
        <create_date>2022-09-23T07:11:15.655158+00:00</create_date>
        <update_date>2024-11-06T06:42:14.820632+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeoshub/becagis/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeoshub/becagis/]]></repository>
        <tags><![CDATA[expressions,voronoi,geoprocessing,skeleton,centerline,medial axis,farthest pair of points,closest pair of points,largest empty circle,most isolated point,antipodal layer,vietnamese font converter,split polygon,maximum inscribed circle,antipodes]]></tags>
        <downloads>26453</downloads>
        <average_vote>4.028456329819148</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Previsioni" version="0.1.10" plugin_id="2785">
        <description><![CDATA[This plugin connect to Previsioni API.]]></description>
        <about><![CDATA[This plugin connects to Previsioni API.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://previsioni.com.br]]></homepage>
        <file_name>wfs_qgis-previsioni-plugin-out.0.1.10.zip</file_name>
        <icon>/media/packages/2022/icon_5Qwiy8z.png</icon>
        <author_name><![CDATA[Jan Ruzicka, Otto Kalab, Katerina Ruzickova]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wfs_qgis-previsioni-plugin-out/version/0.1.10/download/</download_url>
        <uploaded_by><![CDATA[mikulasmuron]]></uploaded_by>
        <create_date>2022-09-23T10:59:44.912579+00:00</create_date>
        <update_date>2022-09-23T10:59:45.486229+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/World-From-Space/qgis-previsioni-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/World-From-Space/qgis-previsioni-plugin/]]></repository>
        <tags><![CDATA[earth observation,crop,vegetation indexes]]></tags>
        <downloads>1639</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UAV Mapping Path Generator (for Litchi)" version="0.4.1" plugin_id="2786">
        <description><![CDATA[This plugin provides a Litchi-compatible UAV flight path for mapping missions, based on an input polygon and drone camera parameters. The output is a .csv file that can be uploaded to the FlyLitchi Mission hub to quickly create a set of waypoints.]]></description>
        <about><![CDATA[This plugin prepares a drone flight path based on certain required inputs. This plugin gives a Fly Litchi compatible csv file with way points for the drone path.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/techforwildlife/qgis-drone_path-plugin]]></homepage>
        <file_name>drone_path.0.4.1.zip</file_name>
        <icon>/media/packages/2024/icon_xKu9DLG.png</icon>
        <author_name><![CDATA[Technology for Wildlife Foundation]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/drone_path/version/0.4.1/download/</download_url>
        <uploaded_by><![CDATA[sravanthi]]></uploaded_by>
        <create_date>2022-09-23T11:19:00.513704+00:00</create_date>
        <update_date>2024-07-25T10:43:25.747121+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/techforwildlife/qgis-drone_path-plugin]]></tracker>
        <repository><![CDATA[https://github.com/techforwildlife/qgis-drone_path-plugin]]></repository>
        <tags><![CDATA[python,grid,drone,path,gridlines,flylitchi]]></tags>
        <downloads>13044</downloads>
        <average_vote>4.0525249335543805</average_vote>
        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sentinel-5p data explorer" version="0.1" plugin_id="2788">
        <description><![CDATA[Sentinel-5p data explorer manage NC files from satellite &quot;Sentinel-5p&quot;.]]></description>
        <about><![CDATA[NC files are a widespread format, which is used on remote sensing for saving climate and geospatial data in multi-dimensions. &quot;Sentinel-5P&quot; is a satellite which performs atmospheric measurements and saves them on NC files. But NC files are difficult to use, because to working with NC files it is needed to apply programming languages. The aim of this plugin is to open NC files from satellite &quot;Sentinel-5P&quot;, in an easy and fast manner, eliminating the need for programming knowledge. Easy to use, it shows the variables, for each NC file that you choose and gives you the option to either export it to a simple text file or to map it on QGIS as a delimited text layer. This way you can visualize the satellite’s data and make high quality maps with QGIS, faster than any programming solution. --WARNING-- Before the installation, make sure that the python library &quot;netCDF4&quot; is already installed in QGIS. To check it, open the &quot;OSGeo4W Shell&quot; and write the command: pip install netCDF4]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sentinel-5p-data-explorer-qgis-plugin.000webhostapp.com/README.html]]></homepage>
        <file_name>Sentinel-5p_data_explorer.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_leHl8Yy.png</icon>
        <author_name><![CDATA[Tsafaras Anastasios, Kounalakis Stratis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Sentinel-5p_data_explorer/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[anastasios]]></uploaded_by>
        <create_date>2022-09-27T12:17:41.053146+00:00</create_date>
        <update_date>2022-09-27T12:17:43.605294+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://sentinel-5p-data-explorer-qgis-plugin.000webhostapp.com/README.html]]></tracker>
        <repository><![CDATA[https://sentinel-5p-data-explorer-qgis-plugin.000webhostapp.com/README.html]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7990</downloads>
        <average_vote>3.999333444425929</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QRichDem" version="0.2.3" plugin_id="2790">
        <description><![CDATA[Qgis wrappers for RichDem]]></description>
        <about><![CDATA[This plugin provides wrappers for RichDem - fast terrain analysis tools and was initially developed for the course Land Degradation and Development by Wageningen University to provide an alternative for SAGA. IT REQUIRES RICHDEM AND WILL TRY TO INSTALL IT IF NOT FOUND. https://landscapearchaeology.org/2018/installing-python-packages-in-qgis-3-for-windows/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis-tuts-wu.readthedocs.io/en/latest/docs/land_degradation_development/index.html]]></homepage>
        <file_name>qgis_richdem.0.2.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Fee]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_richdem/version/0.2.3/download/</download_url>
        <uploaded_by><![CDATA[freakyfee]]></uploaded_by>
        <create_date>2022-09-30T20:04:54.939229+00:00</create_date>
        <update_date>2022-11-11T08:30:52.589529+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/feefladder/qgis-richdem/issues]]></tracker>
        <repository><![CDATA[https://github.com/feefladder/qgis-richdem]]></repository>
        <tags><![CDATA[python hydrology]]></tags>
        <downloads>2717</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Zone Label" version="1.0" plugin_id="2791">
        <description><![CDATA[This plugin allows to split and manually label rectangular areas.]]></description>
        <about><![CDATA[Starting from a specified rectangular area, it is possible to split the area in smaller equal areas and to assign a label (either Accept or Reject) and a description to each area.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/folini96/Zone_Label]]></homepage>
        <file_name>zone_label.1.0.zip</file_name>
        <icon>/media/packages/2022/zone_label_icon.png</icon>
        <author_name><![CDATA[Andrea Folini]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/zone_label/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[andreafolini]]></uploaded_by>
        <create_date>2022-10-03T13:49:46.507185+00:00</create_date>
        <update_date>2022-10-03T13:49:46.720411+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/folini96/Zone_Label/issues]]></tracker>
        <repository><![CDATA[https://github.com/folini96/Zone_Label]]></repository>
        <tags><![CDATA[python,classification,label,rectangle,split area]]></tags>
        <downloads>4293</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NDFF Connector Plugin" version="0.9.9" plugin_id="2792">
        <description><![CDATA[This connector uses the NDFF-Connector library to create all needed configuration and settings to connect to the NDFF api, to upload Observations/Waarnemingen]]></description>
        <about><![CDATA[This connector uses the NDFF-Connector library to create all needed configuration and settings to connect to the NDFF api, to upload Observations/Waarnemingen]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/bij12-ndff/public/ndff-connector-plugin]]></homepage>
        <file_name>ndff_connector_plugin.0.9.9.zip</file_name>
        <icon>/media/packages/2026/ndff_48x48_0B13X6H.png</icon>
        <author_name><![CDATA[BIJ12-NDFF]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ndff_connector_plugin/version/0.9.9/download/</download_url>
        <uploaded_by><![CDATA[rduivenvoorde]]></uploaded_by>
        <create_date>2022-10-03T18:45:24.929492+00:00</create_date>
        <update_date>2026-03-03T10:53:18.963837+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/bij12-ndff/public/ndff-connector-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/bij12-ndff/public/ndff-connector-plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>5609</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Nearest Neighbor Method for Linear Features (NNMLF)" version="2.0" plugin_id="2793">
        <description><![CDATA[This plugin estimates the spatial distribution pattern of linear features.]]></description>
        <about><![CDATA[Named Nearest Neighbor Method for Linear Features (NNMLF), as the convenient name, this plugin uses a method based on modifying the Nearest Neighbor Method for points. In this method, the Hausdorff Distance is used to obtain a measure of the distance between the lines and, thus, infer about the spatial distribution pattern.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Marconi-Martins/NNMLF_QGIS_v2]]></homepage>
        <file_name>nnmlf.2.0.zip</file_name>
        <icon>/media/packages/2023/icon_AiORR3B.png</icon>
        <author_name><![CDATA[Marconi Martins Cunha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nnmlf/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[marconimartins]]></uploaded_by>
        <create_date>2022-10-06T21:48:38.169567+00:00</create_date>
        <update_date>2023-10-01T13:31:50.236529+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Marconi-Martins/NNMLF_QGIS_v2/issues]]></tracker>
        <repository><![CDATA[https://github.com/Marconi-Martins/NNMLF]]></repository>
        <tags><![CDATA[brasil,spatial data quality,linear feature,controle de qualidade cartográfica,positional accuracy,acurácia posicional,brazil,cartografia,ufv,qualidade,nearest neighbor method,spatial distribution pattern,nnmlf]]></tags>
        <downloads>7459</downloads>
        <average_vote>4.624421947256593</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SensorThings API" version="2.1.2" plugin_id="2796">
        <description><![CDATA[The plugin enables QGIS to inspect dynamic sensor data published using SensorThingsAPI protocol (https://www.ogc.org/standards/sensorthings).]]></description>
        <about><![CDATA[This plugin has been developed by Sandro Moretti from Deda Next (https://www.dedanext.it/) within the AIR-BREAK project (https://airbreakferrara.net/) and then further evolved into the current version with the financial support of BRGM (https://www.brgm.fr/en). The plugin leverages on QGIS SensorThings data provider to access SensorThingsAPI endpoints (https://www.ogc.org/standards/sensorthings), visualize on map the position of their spatially-enabled entities (Locations, Multi/Datastreams and FeatureOfInterest) and inspect the related timeseries of Observations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.38.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Sandro71/SensorThingsInspector_QGIS-plugin]]></homepage>
        <file_name>SensorThingsAPI.2.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_Kjg1ZPo.png</icon>
        <author_name><![CDATA[Deda Next (Sandro Moretti)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SensorThingsAPI/version/2.1.2/download/</download_url>
        <uploaded_by><![CDATA[pgcipriano]]></uploaded_by>
        <create_date>2022-10-10T09:15:41.064656+00:00</create_date>
        <update_date>2025-05-19T09:10:23.940443+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Sandro71/SensorThingsInspector_QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Sandro71/SensorThingsInspector_QGIS-plugin]]></repository>
        <tags><![CDATA[iot,ogc,sta,sensorthings api]]></tags>
        <downloads>3624</downloads>
        <average_vote>4.499750013888117</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Replace Geometry" version="2.0" plugin_id="2797">
        <description><![CDATA[Replaces a geometry keeping the attributes unchanged]]></description>
        <about><![CDATA[The plugin replaces a geometry keeping the attributes unchanged. It work with any type of geometry and any vector layer format.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ValPinnaSardinia/Replace-Geometry-Plugin.git]]></homepage>
        <file_name>replace_geometry.2.0.zip</file_name>
        <icon>/media/packages/2022/icon_Xuojbkt.png</icon>
        <author_name><![CDATA[Valerio Pinna]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/replace_geometry/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[valp]]></uploaded_by>
        <create_date>2022-10-10T11:28:22.101526+00:00</create_date>
        <update_date>2022-10-10T11:28:23.064887+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ValPinnaSardinia/Replace-Geometry-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ValPinnaSardinia/Replace-Geometry-Plugin.git]]></repository>
        <tags><![CDATA[point,attribute,polygon,polyline,digitizing,geometry,replace]]></tags>
        <downloads>5902</downloads>
        <average_vote>4.399824007039718</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS-GMSH" version="0.2.4" plugin_id="2799">
        <description><![CDATA[This is a plugin to interract with the GMSH mesh generator (see http://geuz.org/gmsh).]]></description>
        <about><![CDATA[Generate geometry input files for the GMSH mesh generator (http://geuz.org/gmsh) and convert the GMSH mesh file to shapefiles that can be imported into QGIS. The nightly snaphshot(http://geuz.org/gmsh/#Download) version of GMSH is required to mesh the generated .geo files. For more details, see this tutorial : https://github.com/jonathanlambrechts/qgis-gmsh/wiki.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jonathanlambrechts/qgis-gmsh/]]></homepage>
        <file_name>qgis-gmsh.0.2.4.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Jonathan Lambrechts]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-gmsh/version/0.2.4/download/</download_url>
        <uploaded_by><![CDATA[ccorail]]></uploaded_by>
        <create_date>2022-10-12T10:44:55.347664+00:00</create_date>
        <update_date>2022-12-19T09:47:16.075196+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jonathanlambrechts/qgis-gmsh/issues]]></tracker>
        <repository><![CDATA[https://github.com/jonathanlambrechts/qgis-gmsh/]]></repository>
        <tags><![CDATA[vector,mesh,gmsh]]></tags>
        <downloads>2911</downloads>
        <average_vote>2.332555814728424</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Download data from IBGE" version="0.2.1" plugin_id="2800">
        <description><![CDATA[This plugin downloads data from IBGE]]></description>
        <about><![CDATA[The purpose of this plugin is to easy download and merge geociences and statistical data from IBGE repository.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/viniciusdoria/ibgedatadownloader]]></homepage>
        <file_name>ibgedatadownloader.0.2.1.zip</file_name>
        <icon>/media/packages/2025/icon_xYGgznd.png</icon>
        <author_name><![CDATA[Vinicius Etchebeur Medeiros Dória]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ibgedatadownloader/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[vdoria]]></uploaded_by>
        <create_date>2022-10-14T19:54:58.221895+00:00</create_date>
        <update_date>2025-12-01T20:19:59.934239+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/viniciusdoria/ibgedatadownloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/viniciusdoria/ibgedatadownloader]]></repository>
        <tags><![CDATA[python,data,ibge]]></tags>
        <downloads>9315</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Create points on arcs&#x27; intersection" version="1.0" plugin_id="2801">
        <description><![CDATA[The plugin creates a new layer with points on arcs&#x27; intersection within the same layer]]></description>
        <about><![CDATA[The plugin creates a new layer with points on arcs&#x27; intersection within the same layer.&lt;/br&gt;It works in similar way to Line intersections... QGIS function - when you choose the same arcs&#x27; layer. This plugin works in an extended way. You can create points on arcs&#x27; intersection:&lt;/br&gt;1) by first or last node of a source feature with first or last node of another arc;&lt;/br&gt;2) by first or last node of a source feature with a body of another arc;&lt;/br&gt;3) on intersection between bodies of different arcs;&lt;/br&gt;4) on self-intersection of the same arc.&lt;/br&gt;&lt;/br&gt;Apart from that, you can choose the number of intersections between arcs, to create a point.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pandryk/PythonRepo]]></homepage>
        <file_name>point_on_arc_intersection.1.0.zip</file_name>
        <icon>/media/packages/2022/icon_2bVR8hh.png</icon>
        <author_name><![CDATA[Piotr Andryk]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/point_on_arc_intersection/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[pandryk]]></uploaded_by>
        <create_date>2022-10-18T06:17:12.624247+00:00</create_date>
        <update_date>2022-10-18T06:17:13.029892+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pandryk/PythonRepo/issues]]></tracker>
        <repository><![CDATA[https://github.com/pandryk/PythonRepo/tree/main/point_on_arc_intersection]]></repository>
        <tags><![CDATA[vector,feature,shapefile,point,intersection,analysis,network,line,polyline,geometry]]></tags>
        <downloads>3915</downloads>
        <average_vote>2.9992501874531365</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Deepness: Deep Neural Remote Sensing" version="0.6.5" plugin_id="2802">
        <description><![CDATA[Inference of deep neural network models (ONNX) for segmentation, detection and regression]]></description>
        <about><![CDATA[Deepness plugin allows to easily perform segmentation, detection and regression on raster ortophotos with custom ONNX Neural Network models, bringing the power of deep learning to casual users.
Features highlights:
- processing any raster layer (custom ortophoto from file or layers from online providers, e.g Google Satellite)
- limiting processing range to predefined area (visible part or area defined by vector layer polygons)
- common types of models are supported: segmentation, regression, detection
- integration with layers (both for input data and model output layers). Once an output layer is created, it can be saved as a file manually
- model ZOO under development (planes detection on Bing Aerial, Corn field damage, Oil Storage tanks detection, cars detection, ...)
- training data Export Tool - exporting raster and mask as small tiles
- parametrization of the processing for advanced users (spatial resolution, overlap, postprocessing)
Plugin requires external python packages to be installed. After the first plugin startup, a Dialog will show, to assist in this process. Please visit plugin the documentation for details.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis-plugin-deepness.readthedocs.io/]]></homepage>
        <file_name>deepness.0.6.5.zip</file_name>
        <icon>/media/packages/2024/icon_Is9CMcz.png</icon>
        <author_name><![CDATA[PUT Vision]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/deepness/version/0.6.5/download/</download_url>
        <uploaded_by><![CDATA[przemyslawaszkowski]]></uploaded_by>
        <create_date>2022-10-20T11:38:13.982136+00:00</create_date>
        <update_date>2024-12-10T10:38:22.549072+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PUTvision/qgis-plugin-deepness/issues]]></tracker>
        <repository><![CDATA[https://github.com/PUTvision/qgis-plugin-deepness]]></repository>
        <tags><![CDATA[analysis,classification,remote sensing,regression,supervised classification,machine learning,segmentation,deep learning,neural network,onnx,deepness,detection]]></tags>
        <downloads>72154</downloads>
        <average_vote>4.688146837920226</average_vote>
        <rating_votes>186</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Selection Sets Reloaded" version="1.1" plugin_id="2803">
        <description><![CDATA[Plugin for saving and loading selection sets for layers.]]></description>
        <about><![CDATA[Adds the ability to save and load sets of selections. Based on the work of Nathan Woodrow and Thomas Baumann. Added a few features and fixed some bugs.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/danzig666/selection-sets]]></homepage>
        <file_name>selection-sets-reloaded.1.1.zip</file_name>
        <icon>/media/packages/2022/select_icon.png</icon>
        <author_name><![CDATA[Abel Koszeghy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/selection-sets-reloaded/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[abelke]]></uploaded_by>
        <create_date>2022-10-23T21:21:34.303355+00:00</create_date>
        <update_date>2022-10-23T21:21:35.516575+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/danzig666/selection-sets]]></tracker>
        <repository><![CDATA[https://github.com/danzig666/selection-sets]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1518</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FLINTpro Datacheck" version="0.1" plugin_id="2804">
        <description><![CDATA[This plugin is designed for FLINTpro users to easily check the compatibility of data for uploading to FLINTpro.]]></description>
        <about><![CDATA[FLINTpro is a Software as a Service (SaaS) for the modelling and monitoring of land sector greenhouse gases. The system allows users to manage the natural capital assets within large land portfolios.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/HarrisonMcHarg/FLINTpro_datacheck]]></homepage>
        <file_name>flintpro_datacheck.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_1lHZxuW.png</icon>
        <author_name><![CDATA[Harrison McKenzie-McHarg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flintpro_datacheck/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[harrisonmcharg]]></uploaded_by>
        <create_date>2022-10-24T14:50:23.575403+00:00</create_date>
        <update_date>2022-10-24T14:50:23.961744+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HarrisonMcHarg/FLINTpro_datacheck/issues]]></tracker>
        <repository><![CDATA[https://github.com/HarrisonMcHarg/FLINTpro_datacheck]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>757</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapBiomas Collection Official" version="1.6.3" plugin_id="2806">
        <description><![CDATA[This plugin enables the acquisition of land&#x27;s use and coverage maps from MapBiomas Project (http://mapbiomas.org/) as a WMS layer.]]></description>
        <about><![CDATA[This plugin integrates MapBiomas annual land use and coverage maps as a WMS layer.
The plugin is developed in collaboration with Solved[1]
[1] https://solved.eco.br]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mariochermes/mapbiomascollection/wiki]]></homepage>
        <file_name>plugin.1.6.3.zip</file_name>
        <icon>/media/packages/2025/mapbiomas_GVmz3wl.svg</icon>
        <author_name><![CDATA[Luiz Motta, Luiz Cortinhas and Mário Hermes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/plugin/version/1.6.3/download/</download_url>
        <uploaded_by><![CDATA[luizcf14]]></uploaded_by>
        <create_date>2022-10-26T01:46:51.758117+00:00</create_date>
        <update_date>2025-08-18T13:24:48.616585+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mariochermes/mapbiomascollection/issues]]></tracker>
        <repository><![CDATA[https://github.com/mariochermes/mapbiomascollection]]></repository>
        <tags><![CDATA[mapbiomas,solved]]></tags>
        <downloads>43842</downloads>
        <average_vote>4.527652009666398</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NextGIS IdentifyPlus" version="4.2.0" plugin_id="2807">
        <description><![CDATA[Extended identify tool, show photos from your Web GIS]]></description>
        <about><![CDATA[Extended identify tool. Show photos and other attachments stored in your Web GIS right in QGIS. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nextgis.com]]></homepage>
        <file_name>identifyplus.4.2.0.zip</file_name>
        <icon>/media/packages/2024/identifyplus_UASBLwx.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/identifyplus/version/4.2.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2022-10-26T12:49:37.630184+00:00</create_date>
        <update_date>2024-11-19T13:17:05.792434+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/IdentifyPlus/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/IdentifyPlus]]></repository>
        <tags><![CDATA[feature,maptool,identification]]></tags>
        <downloads>7162</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Q5PFES" version="3.16" plugin_id="2809">
        <description><![CDATA[Q5PFES - This plugin to create the map of payment for forest environmental services]]></description>
        <about><![CDATA[The Q5PFES plugin supports the Forest Protection and Development Fund of the provinces to develop the Map of Payment for Forest Environmental Services (PFES). The plugin was developed by the Institute of Forest Ecology and Environment (IFEE) based on the provisions of Decree 156/2018/ND-CP about detailed instructions on the implementation of the Forest Law, the Payment for Forest Environmental Services and the Guide notebook for develop PFES map of Viet Nam Administration of Forestry. The main functions include: Extracting forest resources monitoring map, Developing the Map of Payment for Forest Environmental Services, Database management, Statistical data (according to the forms).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/IFEERnD/Q5PFES]]></homepage>
        <file_name>q5pfes.3.16.zip</file_name>
        <icon>/media/packages/2025/icon_8mqmomp.png</icon>
        <author_name><![CDATA[Institute of Forest Ecology and Environment (IFEE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/q5pfes/version/3.16/download/</download_url>
        <uploaded_by><![CDATA[ifeernd]]></uploaded_by>
        <create_date>2022-10-28T04:42:15.170066+00:00</create_date>
        <update_date>2025-09-30T04:24:46.883993+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IFEERnD/Q5PFES/issues]]></tracker>
        <repository><![CDATA[https://github.com/IFEERnD/Q5PFES]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>8323</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GBFS-NOW" version="1.4" plugin_id="2814">
        <description><![CDATA[GBFS-NOW]]></description>
        <about><![CDATA[GBFS-NOW is a QGIS plugin for displaying GBFS data. GBFS(General Bikeshare Feed Specification) is the open data standard for shared mobility. Many shared mobility operators publish their data under this standard.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hiskoh/GBFS-NOW]]></homepage>
        <file_name>GBFS-NOW.1.4.zip</file_name>
        <icon>/media/packages/2025/icon_5kDQa8P.png</icon>
        <author_name><![CDATA[Kohta Hisadomi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GBFS-NOW/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[hiskoh]]></uploaded_by>
        <create_date>2022-11-08T12:27:42.717655+00:00</create_date>
        <update_date>2025-01-04T21:18:41.060977+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hiskoh/GBFS-NOW/issues]]></tracker>
        <repository><![CDATA[https://github.com/hiskoh/GBFS-NOW]]></repository>
        <tags><![CDATA[mobility,gbfs,bikeshare,shared mobility,micro mobility]]></tags>
        <downloads>3852</downloads>
        <average_vote>3.4998409163219852</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Segment reshape tool" version="0.1.10" plugin_id="2815">
        <description><![CDATA[Tool to reshape toplogically connected segments]]></description>
        <about><![CDATA[With this plugin QGIS user can select the common segment of multiple features using a map tool and then reshape the segment for all features with one edit. Topological editing (found in snapping toolbar) must be turned on before reshape operation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nlsfi/segment-reshape-qgis-plugin]]></homepage>
        <file_name>segment_reshape_plugin.0.1.10.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[National Land Survey of Finland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/segment_reshape_plugin/version/0.1.10/download/</download_url>
        <uploaded_by><![CDATA[nlsfi]]></uploaded_by>
        <create_date>2022-11-09T08:23:16.834858+00:00</create_date>
        <update_date>2025-06-19T12:33:52.080015+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nlsfi/segment-reshape-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/nlsfi/segment-reshape-qgis-plugin]]></repository>
        <tags><![CDATA[editing,geometry,topology]]></tags>
        <downloads>12988</downloads>
        <average_vote>4.199580041995801</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GPS Replay" version="0.0.5" plugin_id="2817">
        <description><![CDATA[Allows replay of a previously logged GPS file (i.e. a NMEA text log).]]></description>
        <about><![CDATA[Allows replay of a previously logged GPS file (i.e. a NMEA text log). The playback is tied to the QGIS temporal controller, allowing users to play and scrub forward and backward in time through the logged GPS information.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/north-road/gps-replay]]></homepage>
        <file_name>gps_replay.0.0.5.zip</file_name>
        <icon>/media/packages/2024/icon_YF4IIWX.png</icon>
        <author_name><![CDATA[Nyall Dawson]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gps_replay/version/0.0.5/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2022-11-10T04:17:08.082331+00:00</create_date>
        <update_date>2024-10-20T23:26:46.181996+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/north-road/gps-replay]]></tracker>
        <repository><![CDATA[https://github.com/north-road/gps-replay]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>12422</downloads>
        <average_vote>4.307360972232905</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Koordinates" version="3.0.5" plugin_id="2818">
        <description><![CDATA[Discover, view and clone Koordinates hosted data directly from QGIS.]]></description>
        <about><![CDATA[&lt;div style=&quot;max-width:33em&quot;&gt;The &lt;a href=&quot;https://koordinates.com/explore/&quot;&gt;Koordinates&lt;/a&gt; plugin allows users to discover, view and clone Koordinates-hosted data directly from QGIS.

&lt;ul&gt;&lt;li&gt;&lt;strong&gt;Discover&lt;/strong&gt;&lt;br/&gt;
Browse thousands of open geospatial datasets alongside your organisations private data&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;View&lt;/strong&gt;&lt;br/&gt;
Add data to your current QGIS project with 1 click&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Clone&lt;/strong&gt;&lt;br/&gt;
Transfer authoritative data directly to your local drive for analysis and visualisation. Powered by &lt;a href=&quot;https://kartproject.org&quot;&gt;Kart&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://koordinates.com]]></homepage>
        <file_name>koordinates.3.0.5.zip</file_name>
        <icon>/media/packages/2026/koordinates.png</icon>
        <author_name><![CDATA[Koordinates]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/koordinates/version/3.0.5/download/</download_url>
        <uploaded_by><![CDATA[koordinates]]></uploaded_by>
        <create_date>2022-11-10T04:31:47.104467+00:00</create_date>
        <update_date>2025-03-02T08:10:16.181105+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/koordinates/koordinates-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/koordinates/koordinates-qgis-plugin]]></repository>
        <tags><![CDATA[versioning,data,open data,collections,cloning,access,discoverability]]></tags>
        <downloads>16911</downloads>
        <average_vote>4.294033450324504</average_vote>
        <rating_votes>51</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tieosoitetyökalu" version="1.3.2" plugin_id="2819">
        <description><![CDATA[Tieosoitetyökalu-plugin hakee VKM-rajapinnasta osoitetietoja ja esittää niitä erilaisin tavoin QGIS:sissa.]]></description>
        <about><![CDATA[FI:
Tieosoitetyökalu mahdollistaa monipuoliset hakutoiminnot tie- ja katuosoitteella.
Saat tieosoitteen sekä muita tien ominaisuuksia näkyviin helposti karttaa klikkaamalla.
Voit myös tarkastella tieosia, hakea kohteita tieosoitevälillä sekä hakea sijainnin koordinaatilla.
Tieosoitevälin ajoratojen osoitetiedot saa talletettua tiedostona taulukkolaskentaohjelmiin viemiseksi.

EN:
With Tieosoitetyökalu or Road address tool you can perform different kind of searches with road and street addresses.
This plugin displays road addresses and other address properties after a click on a canvas.
You can also examine road parts, highlight roadways between two chosen points and search locations by coordinates.
Address information of the highlighted roadway lines can be downloaded in a CSV file that is spreadsheet-friendly.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/finnishtransportagency/QGIS-tieosoitetyokalu/tree/main#readme]]></homepage>
        <file_name>Tieosoitetyokalu.1.3.2.zip</file_name>
        <icon>/media/packages/2026/main_icon.png</icon>
        <author_name><![CDATA[Väylävirasto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Tieosoitetyokalu/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[aleksandrroos]]></uploaded_by>
        <create_date>2022-11-11T06:31:19.105564+00:00</create_date>
        <update_date>2026-01-14T11:59:07.705856+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/finnishtransportagency/QGIS-tieosoitetyokalu/issues]]></tracker>
        <repository><![CDATA[https://github.com/finnishtransportagency/QGIS-tieosoitetyokalu]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2008</downloads>
        <average_vote>3.799240151969606</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LayerTree2JSON" version="0.7.6" plugin_id="2821">
        <description><![CDATA[Parse QGIS 3 project, write a JSON config file with layer information and upload to server.]]></description>
        <about><![CDATA[This plugin parses QGIS 3 projects and writes a JSON config file with information representing the layer tree. This file than automatically can be uploaded to a webserver using a SFTP connection. Usually the JSON config file then is used by a web viewer to show a layer switcher.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geraldo/layertree2json]]></homepage>
        <file_name>layertree2json.0.7.6.zip</file_name>
        <icon>/media/packages/2025/icon_5yN5ZfH.png</icon>
        <author_name><![CDATA[Gerald Kogler]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layertree2json/version/0.7.6/download/</download_url>
        <uploaded_by><![CDATA[geraldo]]></uploaded_by>
        <create_date>2022-11-14T09:15:35.624353+00:00</create_date>
        <update_date>2025-12-19T21:10:47.937704+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geraldo/layertree2json/issues]]></tracker>
        <repository><![CDATA[https://github.com/geraldo/layertree2json]]></repository>
        <tags><![CDATA[html,web,export,ftp,webmap,json,sftp,webmaps]]></tags>
        <downloads>8437</downloads>
        <average_vote>4.332851905343851</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NextGIS Points2One" version="0.4.0" plugin_id="2823">
        <description><![CDATA[Create lines and polygons from vertices.]]></description>
        <about><![CDATA[Connects points in a layer to form lines and polygons. A QGIS3 port of a plugin by Pavol Kapusta.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nextgis.com]]></homepage>
        <file_name>qgis_points2one.0.4.0.zip</file_name>
        <icon>/media/packages/2024/points2one.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_points2one/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2022-11-23T10:03:23.292388+00:00</create_date>
        <update_date>2024-11-20T14:22:10.744791+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_points2one/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_points2one]]></repository>
        <tags><![CDATA[point,line,conversion,nextgis]]></tags>
        <downloads>51249</downloads>
        <average_vote>4.199860004666511</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="road2QGIS" version="0.4" plugin_id="2825">
        <description><![CDATA[Plugin faisant appel au calcul d&#x27;itinéraires et d&#x27;isochrones/isodistances de la Géoplateforme pour intégration dans QGIS]]></description>
        <about><![CDATA[Plugin faisant appel au calcul d&#x27;itinéraires et d&#x27;isochrones/isodistances de la Géoplateforme pour intégration dans QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/azarz/road2qgis]]></homepage>
        <file_name>road2qgis.0.4.zip</file_name>
        <icon>/media/packages/2025/icon_fyrpnAD.png</icon>
        <author_name><![CDATA[azarz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/road2qgis/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[azarz]]></uploaded_by>
        <create_date>2022-11-24T09:57:02.379194+00:00</create_date>
        <update_date>2025-02-05T16:30:50.500992+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/azarz/road2qgis/issues]]></tracker>
        <repository><![CDATA[http://github.com/azarz/road2qgis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>9998</downloads>
        <average_vote>4.076609491577571</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DMI Open Data" version="1.0.9" plugin_id="2827">
        <description><![CDATA[This plugin lets you import data from DMIs Open Data]]></description>
        <about><![CDATA[This plugin lets you import data from DMIs Open Data in an easy manner.

With this plugin you can import meteorological observations, climate data, lightning data, radar data and oceanographic observations. Furthermore it is possible to download the data as .csv files, pull multiple parameters and stations at a time and get an overview of all DMIs stations, what they measure and where they are located.

For a full guide on how to use the plugin go &lt;a href=&quot;https://github.com/dmidk/Open-Data-QGIS-plugin/blob/master/Guide.md&quot;&gt;here&lt;/a&gt;.

To read more about DMIs Open Data go &lt;a href=&quot;https://www.dmi.dk/friedata/dokumentation-paa-engelsk&quot;&gt;here.&lt;/a&gt;
&lt;a href=&quot;https://www.dmi.dk/&quot;&gt;Visit DMI.&lt;/a&gt;
&lt;a href=&quot;https://www.dmi.dk/kontakt/&quot;&gt;Contact us.&lt;/a&gt;

This plugin requires the pandas libary. In most cases the pandas libary will be installed alongside the plugin. However, if this is not the case please install pandas to use the plugin. A guide to pandas installation can be found &lt;a href=&quot;https://pandas.pydata.org/docs/getting_started/install.html&quot;&gt;here&lt;/a&gt;

&lt;img src=&quot;https://www.dmi.dk/fileadmin/templates/img/logo.png&quot; alt=&quot;DMI&quot; width=&quot;200&quot; height=auto&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dmidk/Open-Data-QGIS-plugin]]></homepage>
        <file_name>DMI_Open_Data.1.0.9.zip</file_name>
        <icon>/media/packages/2026/icon_DVCKtk0.png</icon>
        <author_name><![CDATA[Danish Meteorological Institute]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DMI_Open_Data/version/1.0.9/download/</download_url>
        <uploaded_by><![CDATA[dmiopendata]]></uploaded_by>
        <create_date>2022-11-28T13:09:38.605783+00:00</create_date>
        <update_date>2026-01-27T10:14:42.577151+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dmidk/Open-Data-QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/dmidk/Open-Data-QGIS-plugin]]></repository>
        <tags><![CDATA[open data,climate,climate change,dmi,climate data,dmi open data,danmarks meteorologiske institut]]></tags>
        <downloads>8901</downloads>
        <average_vote>3.713755177831738</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BDOT10k" version="2.0.0" plugin_id="2828">
        <description><![CDATA[Wtyczka do pobierania danych BDOT10k. Plugin for downloading BDOT10k data.]]></description>
        <about><![CDATA[[PL] Wtyczka umożliwia pobranie danych BDOT10k:
- zaznaczając pola wyboru dla poszczególnych powiatów
pogrupowanych województwami,
- poprzez selekcję powiatów na podstawie przecięcia
z wybraną warstwą wektorową.

[EN] The plugin allows to download BDOT10k data
(BDOT stands for Topographic Objects Database):
- by selecting individual counties using checkboxes,
grouped by voivodeships,
- by selecting counties based on their intersection
with a chosen vector layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marylaGIS/bdot10k]]></homepage>
        <file_name>bdot10k.2.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_IiA4b5w.png</icon>
        <author_name><![CDATA[Maryla Jeż]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bdot10k/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[marylagis]]></uploaded_by>
        <create_date>2022-11-30T21:11:56.784831+00:00</create_date>
        <update_date>2026-01-13T19:44:18.397033+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marylaGIS/bdot10k/issues]]></tracker>
        <repository><![CDATA[https://github.com/marylaGIS/bdot10k]]></repository>
        <tags><![CDATA[poland,open data,gugik,polska,bdot10k,otwarte dane,marylagis]]></tags>
        <downloads>38506</downloads>
        <average_vote>3.80754586362063</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QDAI" version="0.1.1" plugin_id="2830">
        <description><![CDATA[It computes soil moisture at high resolution using the SMAP/SMOS 36km coarse resolution global soil moisture data]]></description>
        <about><![CDATA[It computes soil moisture at high resolution using the SMAP/SMOS 36km coarse resolution global soil moisture data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nehakn/SMC/blob/main/README.txt]]></homepage>
        <file_name>soil_moisture.0.1.1.zip</file_name>
        <icon>/media/packages/2022/icon_Ilj7KWW.png</icon>
        <author_name><![CDATA[Neha K. Nawandar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/soil_moisture/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[nnawandar]]></uploaded_by>
        <create_date>2022-12-02T08:14:05.225559+00:00</create_date>
        <update_date>2022-12-29T12:55:04.022460+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nehakn/SMC/issues]]></tracker>
        <repository><![CDATA[https://github.com/nehakn/SMC]]></repository>
        <tags><![CDATA[python,landsat,soil moisture,smap,smos]]></tags>
        <downloads>2712</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OsmAnd bridge" version="1.0" plugin_id="2831">
        <description><![CDATA[Import tracks, favourites, itinerary and AV notes from OsmAnd]]></description>
        <about><![CDATA[Import tracks, favourites, itinerary and AV notes from OsmAnd]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.huma-num.fr/sthery/OsmAnd_bridge]]></homepage>
        <file_name>OsmAnd_bridge.1.0.zip</file_name>
        <icon>/media/packages/2022/OsmAnd_logo.png</icon>
        <author_name><![CDATA[Sylvain Théry - UMR 5281 ART-Dev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OsmAnd_bridge/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[sylther]]></uploaded_by>
        <create_date>2022-12-02T15:15:04.720521+00:00</create_date>
        <update_date>2022-12-02T15:15:05.133202+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.huma-num.fr/sthery/OsmAnd_bridge/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.huma-num.fr/sthery/OsmAnd_bridge]]></repository>
        <tags><![CDATA[osm,gps,gnss,osmand,av notes]]></tags>
        <downloads>11785</downloads>
        <average_vote>4.249645862844763</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Räumlicher Filter" version="1.8.1" plugin_id="2833">
        <description><![CDATA[Spatial filters for PostGIS, GeoPackage and Spatialite layers]]></description>
        <about><![CDATA[Create and manage spatial filters that are applied to PostGIS, GeoPackage and Spatialite vector layers in the current QGIS project. The plugin allows for filtered viewing and editing of the layer, with the filter being defined by a polygon geometry or a bounding box. It is possible to define exceptions for layers and display the filter geometry on the map canvas. The development of this plugin by WhereGroup was proposed and funded by Hessische Verwaltung für Bodenmanagement und Geoinformation (HVBG).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/WhereGroup/spatial_filter]]></homepage>
        <file_name>spatial_filter.1.8.1.zip</file_name>
        <icon>/media/packages/2026/icon_nxyAiml.png</icon>
        <author_name><![CDATA[WhereGroup GmbH (Peter Gipper, Mathias Gröbe, Johannes Kröger)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spatial_filter/version/1.8.1/download/</download_url>
        <uploaded_by><![CDATA[jkroegerwg]]></uploaded_by>
        <create_date>2022-12-08T12:59:09.451260+00:00</create_date>
        <update_date>2026-03-28T14:47:48.901414+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WhereGroup/spatial_filter/issues]]></tracker>
        <repository><![CDATA[https://github.com/WhereGroup/spatial_filter]]></repository>
        <tags><![CDATA[vector,python,postgis,filter,performance]]></tags>
        <downloads>12983</downloads>
        <average_vote>4.678404342702046</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UDD Manager" version="0.3.1" plugin_id="2834">
        <description><![CDATA[BitHabitat UDD Manager for QGIS.]]></description>
        <about><![CDATA[This plugin manages all data for BitHabitat UDD. It depends on LayerTree2JSON QGIS plugin. The development of this plugin was funded by Barcelona Institute of Technology for the Habitat (BitHabitat).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geraldo/uddmanager]]></homepage>
        <file_name>uddmanager.0.3.1.zip</file_name>
        <icon>/media/packages/2024/icon_zWUEp7Q.png</icon>
        <author_name><![CDATA[Gerald Kogler]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/uddmanager/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[geraldo]]></uploaded_by>
        <create_date>2022-12-08T19:04:39.956081+00:00</create_date>
        <update_date>2024-10-31T14:56:45.311048+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geraldo/uddmanager/issues]]></tracker>
        <repository><![CDATA[https://github.com/geraldo/uddmanager]]></repository>
        <tags><![CDATA[html,web,export,webmap,json,webmaps,open data,ckan]]></tags>
        <downloads>2988</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Reveal Address" version="1.3.1" plugin_id="2835">
        <description><![CDATA[QGIS plugin generated by ChatGPT, to reveal address using reverse geocoding on Nominatim API]]></description>
        <about><![CDATA[Plugin allows user to get to know address for a picked by user point. Plugin works by simply clicking on a point on a map and revealing point location through Nominatim API.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/envirosolutionspl/reveal_address_plugin]]></homepage>
        <file_name>reveal_address_plugin.1.3.1.zip</file_name>
        <icon>/media/packages/2026/icon_BFssKJn.svg</icon>
        <author_name><![CDATA[ChatGPT &amp; EnviroSolutions Sp. z o.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/reveal_address_plugin/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[envirosolutions]]></uploaded_by>
        <create_date>2022-12-12T19:08:03.066668+00:00</create_date>
        <update_date>2026-03-09T12:18:38.106036+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/envirosolutionspl/reveal_address_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/envirosolutionspl/reveal_address_plugin]]></repository>
        <tags><![CDATA[address,nominatim,qgis,api,reverse geocoding,envirosolutions,ai,chatgpt,openai]]></tags>
        <downloads>4980</downloads>
        <average_vote>3.249864588975459</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoCSV" version="1.0" plugin_id="2836">
        <description><![CDATA[This plugin creates a vector layer from the loaded csv file to make it available to edit]]></description>
        <about><![CDATA[GeoCSV usage: 1) Add Delimited Text Layer via Layer-&gt;Add Layer-&gt;Add Delimited Text Layer... 2) Open GeoCSV plugin window via Plugins-&gt;GeoCSV 3) Select a Delimited Text Layer you want to transform to Temporary Vector Layer 4) Click &quot;OK&quot; 5) Enjoy!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/g2r4i6e8/geocsv]]></homepage>
        <file_name>geocsv-main.1.0.zip</file_name>
        <icon>/media/packages/2022/icon_XWkIRl8.png</icon>
        <author_name><![CDATA[Andrey Kolomatskiy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocsv-main/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[g2r4i6e8]]></uploaded_by>
        <create_date>2022-12-13T14:48:38.529829+00:00</create_date>
        <update_date>2022-12-13T14:48:40.687871+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/g2r4i6e8/geocsv/issues]]></tracker>
        <repository><![CDATA[https://github.com/g2r4i6e8/geocsv]]></repository>
        <tags><![CDATA[python,csv]]></tags>
        <downloads>14423</downloads>
        <average_vote>4.221987667351813</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AdressesFr" version="1.2" plugin_id="2837">
        <description><![CDATA[Recherche d&#x27;adresse BAN Eurométropole de Strasbourg]]></description>
        <about><![CDATA[Un plugin Qgis simplifié permmetant la recherche et la localisation d&#x27;addresses française grâce à la base d&#x27;addresses nationale (BAN)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cazitouni/AdressesFr]]></homepage>
        <file_name>AdressesFr.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_ya96Adw.png</icon>
        <author_name><![CDATA[Clément Zitouni]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AdressesFr/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[cazitouni]]></uploaded_by>
        <create_date>2022-12-16T10:13:09.137819+00:00</create_date>
        <update_date>2026-02-03T13:05:14.549480+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cazitouni/AdressesFr/issues]]></tracker>
        <repository><![CDATA[https://github.com/cazitouni/AdressesFr]]></repository>
        <tags><![CDATA[recherche,adresse,france,ban]]></tags>
        <downloads>27541</downloads>
        <average_vote>4.499795463842553</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Moisture and Water Index" version="1.5.2" plugin_id="2843">
        <description><![CDATA[Este complemento calcula el índice NDWI con las imágenes del Landsat 8.]]></description>
        <about><![CDATA[Este complemento calcula el índice NDWI con las imágenes del Landsat 8, las cuales pueden ser ingresadas sin la corrección atmosférica (radiancia y reflectancia (TOA)), ya que la aplicación puede corregirlas, de lo contrario solo se realizará el cálculo del índice. Los métodos utilizados para el cálculo son Xu, Gao y McFeeters.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FranciscaRTS/LST_NDWI_L8]]></homepage>
        <file_name>indice_ndwi.1.5.2.zip</file_name>
        <icon>/media/packages/2023/icon_RxUf04s.png</icon>
        <author_name><![CDATA[Francisca Ruiz-Tagle Santander y Keyla Alencar da Silva UTEM UNR CONICET]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/indice_ndwi/version/1.5.2/download/</download_url>
        <uploaded_by><![CDATA[franciscarts]]></uploaded_by>
        <create_date>2022-12-19T22:27:27.105885+00:00</create_date>
        <update_date>2023-10-27T21:49:35.574493+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FranciscaRTS/LST_NDWI_L8/issues]]></tracker>
        <repository><![CDATA[https://github.com/FranciscaRTS/LST_NDWI_L8]]></repository>
        <tags><![CDATA[python,raster,ndwi,reflectancia,radiancia,toa,índice,landsat8]]></tags>
        <downloads>4037</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoDynGem GWSW" version="2.2" plugin_id="2844">
        <description><![CDATA[sewerage prognosis tool for municipalities with support for GWSW-standard]]></description>
        <about><![CDATA[Sewerage prognosis tool for municipalities with support for GWSW-standard.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bart147/GeoDynGemGWSW]]></homepage>
        <file_name>GeoDynGemGWSW.2.2.zip</file_name>
        <icon>/media/packages/2022/logo_5LEkwOF.png</icon>
        <author_name><![CDATA[bkgis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoDynGemGWSW/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[bart147]]></uploaded_by>
        <create_date>2022-12-21T13:15:21.436387+00:00</create_date>
        <update_date>2024-10-08T11:44:32.372751+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://app.zenhub.com/workspaces/geodyngemgwsw-board-637b686a0483d62b95ce3b56/board]]></tracker>
        <repository><![CDATA[https://github.com/bart147/GeoDynGemGWSW]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2530</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MOPST" version="1.0.0" plugin_id="2846">
        <description><![CDATA[Mapping Opportunity &amp; Pressures for Sustainable Tourism]]></description>
        <about><![CDATA[This plugin runs the MOPST (Mapping Opportunity &amp; Pressures for Sustainable Tourism) model which helps evaluate sustainable tourism options.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mopst/qgis-plugin]]></homepage>
        <file_name>mopst.1.0.0.zip</file_name>
        <icon>/media/packages/2022/logo_dgkVfTi.png</icon>
        <author_name><![CDATA[Nick Bearman and Alexander Bruy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mopst/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[nickbearman]]></uploaded_by>
        <create_date>2022-12-22T10:56:55.855242+00:00</create_date>
        <update_date>2022-12-22T10:56:56.246793+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mopst/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/mopst/qgis-plugin]]></repository>
        <tags><![CDATA[analysis,processing,mopst]]></tags>
        <downloads>754</downloads>
        <average_vote>1.4992503748125938</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS-legendView" version="2.0.16" plugin_id="2847">
        <description><![CDATA[Display only the necessary legends in a clear, easy-to-understand manner with Qt5/Qt6 compatibility]]></description>
        <about><![CDATA[The legend you want to display is set in the project variable legend_group_layer_name. This plugin provides a dockable widget that displays legends for selected layers in a compact and organized way. Features include multi-language support (Japanese/English), Qt5/Qt6 compatibility, and enhanced user interface. Supports QGIS 3.0 to 3.99 with both Qt5 and Qt6 frameworks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yamamoto-ryuzo/QGIS-legendView/]]></homepage>
        <file_name>QGIS-legendView-main.2.0.16.zip</file_name>
        <icon>/media/packages/2026/icon_jG1mHPz.png</icon>
        <author_name><![CDATA[yamamoto ryuzo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS-legendView-main/version/2.0.16/download/</download_url>
        <uploaded_by><![CDATA[yamamotoryuzo]]></uploaded_by>
        <create_date>2022-12-22T12:41:29.830514+00:00</create_date>
        <update_date>2026-03-10T13:26:21.428756+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yamamoto-ryuzo/QGIS-legendView/]]></tracker>
        <repository><![CDATA[https://github.com/yamamoto-ryuzo/QGIS-legendView/]]></repository>
        <tags><![CDATA[python,legend,widget,dock,cartography,visualization,qt5,qt6,qt6-compatible,compatibility]]></tags>
        <downloads>7095</downloads>
        <average_vote>3.3993201359728054</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick GeoJSON" version="1.0" plugin_id="2848">
        <description><![CDATA[Quick GeoJSON viewer, this QGIS plugin helps you to load pasted GeoJSON as a temporary (memory) layer.]]></description>
        <about><![CDATA[Quick GeoJSON is a plugin to easily load GeoJSON data into QGIS as a temporary layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mtrcn/quick-geojson]]></homepage>
        <file_name>quick-geojson.1.0.zip</file_name>
        <icon>/media/packages/2022/quick_geojson_BzijzOf.png</icon>
        <author_name><![CDATA[Mete Ercan Pakdil]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick-geojson/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mtrcn]]></uploaded_by>
        <create_date>2022-12-24T22:37:19.811444+00:00</create_date>
        <update_date>2022-12-24T22:37:20.095291+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mtrcn/quick-geojson/issues]]></tracker>
        <repository><![CDATA[https://github.com/mtrcn/quick-geojson]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>18142</downloads>
        <average_vote>4.64678548320687</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Map Units per Pixel" version="0.2.1" plugin_id="2849">
        <description><![CDATA[Displays the current pixel size of the map in the status bar.]]></description>
        <about><![CDATA[This plugin displays the pixel size in map units per pixel of the current map in the status bar.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/andreassteffens/qgis-map-units-per-pixel]]></homepage>
        <file_name>map-units-per-pixel.0.2.1.zip</file_name>
        <icon>/media/packages/2023/icon_DHP9ak2.png</icon>
        <author_name><![CDATA[Andreas Steffens (GDS Geo Daten Service GmbH)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/map-units-per-pixel/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[andreassteffens]]></uploaded_by>
        <create_date>2022-12-27T14:14:58.142116+00:00</create_date>
        <update_date>2023-01-13T09:11:48.832967+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/andreassteffens/qgis-map-units-per-pixel/issues]]></tracker>
        <repository><![CDATA[https://github.com/andreassteffens/qgis-map-units-per-pixel]]></repository>
        <tags><![CDATA[scale,zoom,map units,resolution]]></tags>
        <downloads>4671</downloads>
        <average_vote>4.665889018496917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ShootPoints-Web Plotter" version="1.2.0" plugin_id="2850">
        <description><![CDATA[Plots ShootPoints-Web data]]></description>
        <about><![CDATA[Quickly plot shapefiles of total station data collected with ShootPoints-Web.

This plugin is not necessary for plotting exports of ShootPoints-Web session
data (which are saved as shapefiles), but is a convenience for quickly plotting,
grouping, and styling those shapefiles.

Its minimal interface will prompt you to select a directory of exported
ShootPoints-Web data, from which it will extract the session information,
plot any shapefiles in the &lt;i&gt;gis_shapefiles&lt;/i&gt; subdirectory, group those
new layers in sub-groups of a &lt;i&gt;ShootPoints Data&lt;/i&gt; group, and apply
layer styles supplied with this plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Lugal-PCZ/ShootPoints-Web]]></homepage>
        <file_name>shootpointswebplotter-main.1.2.0.zip</file_name>
        <icon>/media/packages/2024/prism_R947e8d.png</icon>
        <author_name><![CDATA[Paul C. Zimmerman]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shootpointswebplotter-main/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[lugal]]></uploaded_by>
        <create_date>2022-12-28T14:20:02.246693+00:00</create_date>
        <update_date>2024-12-18T21:08:57.956471+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Lugal-PCZ/shootpointswebplotter/issues]]></tracker>
        <repository><![CDATA[https://github.com/Lugal-PCZ/shootpointswebplotter]]></repository>
        <tags><![CDATA[archaeology,surveying,total station]]></tags>
        <downloads>2146</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Equirectangular 360° Viewer" version="1.6.1" plugin_id="2851">
        <description><![CDATA[Equirectangular and 360° streetview like image viewer]]></description>
        <about><![CDATA[Equirectangular and 360° streetview like image viewer]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cazitouni/QgisGLViewer]]></homepage>
        <file_name>QgisGLViewer.1.6.1.zip</file_name>
        <icon>/media/packages/2025/icon_7lQgsAl.png</icon>
        <author_name><![CDATA[Clément Zitouni]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QgisGLViewer/version/1.6.1/download/</download_url>
        <uploaded_by><![CDATA[cazitouni]]></uploaded_by>
        <create_date>2023-01-01T12:58:02.499772+00:00</create_date>
        <update_date>2025-04-25T12:30:57.271451+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cazitouni/QgisGLViewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/cazitouni/QgisGLViewer]]></repository>
        <tags><![CDATA[viewer,streetview,perspective,panorama,equirectangular,360,opengl]]></tags>
        <downloads>10722</downloads>
        <average_vote>4.484712584467138</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Polygon from map extent" version="0.2" plugin_id="2852">
        <description><![CDATA[A lightweight QGIS plugin to make a polygon from the current map extent.]]></description>
        <about><![CDATA[An ultra-lightweight QGIS plugin to make a polygon from the current map extent. This is useful to quickly make an area of interest from the current map view.

It works by creating a virtual layer using the project Coordinate Reference System. The layer will persist in the project on saving and closing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/matt-needle/qgis-polygon_from_map_extent]]></homepage>
        <file_name>polygon_from_map_extent.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_gpK4uGv.png</icon>
        <author_name><![CDATA[Matt Needle]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/polygon_from_map_extent/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mattneedle]]></uploaded_by>
        <create_date>2023-01-05T14:18:15.724799+00:00</create_date>
        <update_date>2023-01-08T20:59:13.644263+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/matt-needle/qgis-polygon_from_map_extent/issues]]></tracker>
        <repository><![CDATA[https://github.com/matt-needle/qgis-polygon_from_map_extent]]></repository>
        <tags><![CDATA[python,polygon,extent,virtual layer]]></tags>
        <downloads>6495</downloads>
        <average_vote>4.428255124633955</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SenseHawk QC" version="1.3" plugin_id="2853">
        <description><![CDATA[This plugin will load and save SenseHawk projects needing quality check.]]></description>
        <about><![CDATA[This plugin will take in projectUID from SenseHawk app and load the orthotiles and the vectors. Post quality check, you can save the changes and post directly to SenseHawk app and overwrite the saved vectors.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sensehawk/qgis_plugin]]></homepage>
        <file_name>sensehawk_qc.1.3.zip</file_name>
        <icon>/media/packages/2023/icon_y9ttGv4.png</icon>
        <author_name><![CDATA[SenseHawk]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sensehawk_qc/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[kiranhegde]]></uploaded_by>
        <create_date>2023-01-06T04:47:11.085804+00:00</create_date>
        <update_date>2023-03-06T14:01:10.443858+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sensehawk/qgis_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/sensehawk/qgis_plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1652</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kartverket adresse-API" version="1.1" plugin_id="2854">
        <description><![CDATA[Fetch coordinates for Norwegian addresses using the Kartverket open adress-API]]></description>
        <about><![CDATA[This plugin is fetching coordinates from the Norwegian Mapping authority&#x27;s adress-api at https://ws.geonorge.no/adresser/v1/#/default/get_sok. The text entered will be used for a free-text search over nearly all information on an address. Letter case does not matter.

Use * or ? as wildcharts. E.g. Parkve?en vill search for all addresses in Parkveien or Parkvegen. Park* will search for all addresses starting with Park.

The API will not return more than 10000 items. If this limits is reached, a warning will be shown. In case bigger datasets are needed, they can be downloaded from https://geonorge.no

The data that are returned will be stored in a new dataset for each query. These data sets are QGIS temporary memory layers and will be deleted when exiting QGIS. To store a data set, press the IC icon to the right of the name and select where to store it and in which format.

The plugin will be found under the Web menu in QGIS.

This plugin is neither made by nor endorsed by the Norwegian Mapping Authority.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/kartverket_adresse]]></homepage>
        <file_name>kartverket_adresse.1.1.zip</file_name>
        <icon>/media/packages/2023/icon_R75M1Sk.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kartverket_adresse/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2023-01-06T12:51:40.150614+00:00</create_date>
        <update_date>2023-11-07T19:57:35.809903+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/kartverket_adresse]]></tracker>
        <repository><![CDATA[https://github.com/sickel/kartverket_adresse]]></repository>
        <tags><![CDATA[web address geocoder norway kartverket api]]></tags>
        <downloads>4124</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Project Reports" version="1.2" plugin_id="2855">
        <description><![CDATA[Plugin to generate reports (CSV and HTML) of properties and metadata about layers, fields and layouts of QGIS projects.]]></description>
        <about><![CDATA[This plugin collects information and properties from different PyQGIS objects, such as layers, fields or layouts accessible from the project and generates open data files (CSV and HTML) with this information. The main objective is to have a tool to generate final reports on work done with QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sigdeletras/project-reports-qgis-plugin]]></homepage>
        <file_name>project_report.1.2.zip</file_name>
        <icon>/media/packages/2023/icon_GCcvlkJ.png</icon>
        <author_name><![CDATA[Patricio Soriano. SIGdeletras.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/project_report/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[pasoriano]]></uploaded_by>
        <create_date>2023-01-06T20:09:47.950892+00:00</create_date>
        <update_date>2023-01-22T19:42:48.356299+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sigdeletras/project-reports-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/sigdeletras/project-reports-qgis-plugin]]></repository>
        <tags><![CDATA[project,metadata,report]]></tags>
        <downloads>7286</downloads>
        <average_vote>4.332972252312308</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PlanCreator-3" version="3.2.1" plugin_id="2856">
        <description><![CDATA[This plugin for create a Building Information Model]]></description>
        <about><![CDATA[Create a building information model by a 2D plans for modeling people flow in the building]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bvchirkov/PlanCreator]]></homepage>
        <file_name>PlanCreator-3.3.2.1.zip</file_name>
        <icon>/media/packages/2023/icon_l_puyFyhG.png</icon>
        <author_name><![CDATA[bvchirkov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PlanCreator-3/version/3.2.1/download/</download_url>
        <uploaded_by><![CDATA[borysiks]]></uploaded_by>
        <create_date>2023-01-08T10:18:41.729361+00:00</create_date>
        <update_date>2023-03-10T06:59:47.301851+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bvchirkov/PlanCreator/issues]]></tracker>
        <repository><![CDATA[https://github.com/bvchirkov/PlanCreator]]></repository>
        <tags><![CDATA[cad,bim]]></tags>
        <downloads>2579</downloads>
        <average_vote>3.9995556049327856</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kauko työkalut" version="0.3.2" plugin_id="2857">
        <description><![CDATA[Kauko työkalut]]></description>
        <about><![CDATA[Kauko työkalut]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sitowise/Kauko]]></homepage>
        <file_name>Kauko.0.3.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Sitowise Oy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Kauko/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[valttlapp]]></uploaded_by>
        <create_date>2023-01-08T17:05:15.227824+00:00</create_date>
        <update_date>2023-06-30T07:00:48.836970+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sitowise/Kauko/issues]]></tracker>
        <repository><![CDATA[https://github.com/sitowise/Kauko]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2225</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NIB-ortofoto-prosjekt" version="1.2" plugin_id="2858">
        <description><![CDATA[Henter alle ortofoto- (inkl. midlertidige), Satellitt- og Infrarødt-prosjekt fra Norge i bilder (WMS) som ligger innafor et utsnitt.]]></description>
        <about><![CDATA[Utsnittet kan være bounding boksen til
- aktuelt map canvas (default)
- et utsnitt man angir selv i lengde og høyde (km x km)
- et kartlag i Layers panel (table of contents (TOC))
- en vektor- eller rasterfil man laster opp

Kan velge prosjekt fra et, flere eller alle (default) år.
Kan lagre prosjektnavna i egne tekstfiler sortert etter år (default) eller alfabetisk.
Utsnittet kan ikke overskride 500 km x 500 km.
Alle WMS-layere (ortofoto, satellitt og infrarødt) havner i en egen gruppe &quot;Nib-prosjekt&quot;.
Tidligere innhenta ortofoto kan slettes før nye hentes inn (husker siste valg).
NB! Man må ha tilgang til Norge i bilder ortofoto-prosjekt WMS (Norge digitalt-part)
NB! Prosjektet må være i UTM 32, 33 eller 35.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.nibio.no/abni/get_nib]]></homepage>
        <file_name>get_nib-main.1.2.zip</file_name>
        <icon>/media/packages/2024/icon_vHqtiV5.png</icon>
        <author_name><![CDATA[ban, NIBIO]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/get_nib-main/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[9ls1]]></uploaded_by>
        <create_date>2023-01-09T13:46:49.515718+00:00</create_date>
        <update_date>2024-01-03T10:23:30.790081+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.nibio.no/abni/get_nib/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.nibio.no/abni/get_nib/-/tree/main]]></repository>
        <tags><![CDATA[python,raster,wms,extent,norway]]></tags>
        <downloads>5529</downloads>
        <average_vote>4.624710955565277</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Equi Processing" version="0.3" plugin_id="2861">
        <description><![CDATA[Equidistance or median line between two states]]></description>
        <about><![CDATA[This plugin generates equidistant lines between two coastal states—either between two opposing coastal states or between two adjacent coastal states. Its primary purpose is to aid in the delimitation of marine boundaries between these states. The algorithm used is based on the Voronoi Diagram and follows the guidelines outlined for equidistance delimitation between opposing states in the TALOS (Technical Aspects of the United Nations Convention on the Law of the Sea) document]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://equiprocessing.carrd.co/]]></homepage>
        <file_name>equi_processing.0.3.zip</file_name>
        <icon>/media/packages/2023/icon_u4dz6aU.png</icon>
        <author_name><![CDATA[Safidy Ratolonandrasana (OMNIS)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/equi_processing/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[safidyrat]]></uploaded_by>
        <create_date>2023-01-16T07:58:16.900817+00:00</create_date>
        <update_date>2023-10-19T12:48:53.658754+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://equiprocessing.carrd.co/]]></tracker>
        <repository><![CDATA[https://plugins.qgis.org/plugins/equi_processing/version/0.3/download/]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3844</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Full MCE for Public Health" version="0.1" plugin_id="2864">
        <description><![CDATA[Full Multicriteria Evaluation tool for Public Health]]></description>
        <about><![CDATA[Ce plugin est un outil complet d&#x27;évaluation multicritère (MCE) pour les données vectorielles. Il permet : 
- de reclasser les contraintes en booléen
- de standardiser les facteurs 
- d&#x27;obtenir le poids de chaque facteur par la méthode de comparaison par paires 
- d&#x27;agréger les contraintes et les facteurs pondérés par la méthode de combinaison linéaire pondérée (WLC)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TeamSaGeo/fullmce/]]></homepage>
        <file_name>fullmce_Sarah-main.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_AQDNv8e.png</icon>
        <author_name><![CDATA[Fanjasoa RAKOTOMANANA, Anthonio RAKOTOARISON, Mampionona RASAMIMALALA, Sarah FAMENONTSOA,]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fullmce_Sarah-main/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[fsarah]]></uploaded_by>
        <create_date>2023-01-18T08:06:19.028829+00:00</create_date>
        <update_date>2023-01-18T08:06:19.367498+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TeamSaGeo/fullmce/issues]]></tracker>
        <repository><![CDATA[https://github.com/TeamSaGeo/fullmce/]]></repository>
        <tags><![CDATA[vector,ahp,mcda,wlc,fuzzy,mce]]></tags>
        <downloads>1928</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MAGIC Map Loader" version="1.2" plugin_id="2865">
        <description><![CDATA[This plugin will open the DEFRA MAGIC Map service on the area of your map canvas]]></description>
        <about><![CDATA[The plugin allows you to open the DEFRA MAGIC map service from QGIS. It will load the MAGIC map of the area you are zoomed to in QGIS. DEFRA&#x27;s MAGIC service is UK only.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Skipper-is/qgis_magic_map_loader]]></homepage>
        <file_name>magic_map_loader.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_K5O4Hdv.png</icon>
        <author_name><![CDATA[DeltaV Geospatial]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/magic_map_loader/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[skipper]]></uploaded_by>
        <create_date>2023-01-20T15:45:05.216869+00:00</create_date>
        <update_date>2025-02-11T07:25:53.783236+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Skipper-is/qgis_magic_map_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/Skipper-is/qgis_magic_map_loader]]></repository>
        <tags><![CDATA[project,search,select,ordnance survey,rectangle]]></tags>
        <downloads>8820</downloads>
        <average_vote>3.964144137709367</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QKan" version="3.4.8" plugin_id="2867">
        <description><![CDATA[Gruppe der QKan-Erweiterung(en)]]></description>
        <about><![CDATA[Mit diesem Plugin können Kanaldaten (Stammdaten und Inspektionsdaten) verwaltet und dargestellt werden. Es bietet Werkzeuge zur Vorbereitung und Ergebnisdarstellung einer hydraulischen Netzberechnung sowie Schnittstellen zu Berechnungssoftware. Außerdem ist eine Zustands- und Substanzbewertung für Kanalnetze integriert. Nähere Informationen können Sie der README.md (./plugins/QKan) entnehmen.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qkan.eu]]></homepage>
        <file_name>qkan.3.4.8.zip</file_name>
        <icon>/media/packages/2025/QKan_1FC4SLK.png</icon>
        <author_name><![CDATA[Nora Blase, Jörg Höttges, Yannick Linke]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qkan/version/3.4.8/download/</download_url>
        <uploaded_by><![CDATA[hoettges]]></uploaded_by>
        <create_date>2023-01-22T22:25:03.980558+00:00</create_date>
        <update_date>2025-12-02T14:02:32.887631+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hoettges/QKan/issues]]></tracker>
        <repository><![CDATA[https://github.com/hoettges/QKan]]></repository>
        <tags><![CDATA[spatialite,flood,cadastre,hydraulics,isybau,kanalkataster,kanal,sewer system,dwa m 145,dwa m 149,strakat,inspektion,dwa m 150,zustandsklassifizierung]]></tags>
        <downloads>15630</downloads>
        <average_vote>4.2579271636398826</average_vote>
        <rating_votes>31</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MINDED FBA" version="0.3" plugin_id="2868">
        <description><![CDATA[An automatic remote sensing tool for the estimation of flooded and burned areas.]]></description>
        <about><![CDATA[The MINDED-FBA is a non-supervised remote sensing approach for the determination of both flooded or burned extents. The tool is freely distributed as a QGIS plugin, consisting of an adaptation and development of the Multi Index Image Differencing Method (MINDED) (Oliveira et al., 2019 and 2021). The MINDED tool allows integrating a diversity of satellite datasets, including multispectral, SAR or a combination of both - data fusion.

Further details and demonstration of application:
https://doi.org/10.3390/rs15030724]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/roliveiraeduardo/MINDED-FBA]]></homepage>
        <file_name>minded_fba.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_sUEgCZj.png</icon>
        <author_name><![CDATA[Oliveira et al., 2023]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/minded_fba/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[eduardoliveira]]></uploaded_by>
        <create_date>2023-01-23T11:35:41.891656+00:00</create_date>
        <update_date>2025-03-27T16:25:39.627975+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/roliveiraeduardo/MINDED-FBA/issues]]></tracker>
        <repository><![CDATA[https://github.com/roliveiraeduardo/MINDED-FBA]]></repository>
        <tags><![CDATA[fire,data fusion,image differencing,non-supervised classification,qgis plugin,automatic threshold selection,floods]]></tags>
        <downloads>2721</downloads>
        <average_vote>4.3842781324513505</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="eTraceability Automatic Accountability Tracker" version="0.7" plugin_id="2870">
        <description><![CDATA[This plugin adds automatic attributes to vector layers, that track who updated or created features, and when.]]></description>
        <about><![CDATA[This plugin adds automatic attributes to vector layers, that track who updated or created features, and when. Also adds automatic area and length calculations to Polygons and Lines. When clicking the eTracability menu item, it checks through your layers, and adds the auto-updating values for existing attributes, and adds in the columns where they don&#x27;t already exist.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Skipper-is/qgis_eTracability]]></homepage>
        <file_name>e_tracability.0.7.zip</file_name>
        <icon>/media/packages/2023/icon_KUnKSt5.png</icon>
        <author_name><![CDATA[LC Ecological Services]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/e_tracability/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[skipper]]></uploaded_by>
        <create_date>2023-01-24T16:05:08.318086+00:00</create_date>
        <update_date>2023-02-21T10:21:06.460029+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Skipper-is/qgis_eTracability/issues]]></tracker>
        <repository><![CDATA[https://github.com/Skipper-is/qgis_eTracability]]></repository>
        <tags><![CDATA[vector,attribute,attribute edit,attribute table,field]]></tags>
        <downloads>2441</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CartoDruid Synchronizer" version="0.15" plugin_id="2871">
        <description><![CDATA[Plugin to synchronize SQLite databases to Cartodruid Synchronization services at ITACyL]]></description>
        <about><![CDATA[Cartodruid is a GIS editor that allows you to quickly collect data in the field. When you need to share this data with other technicians or to manage it in the desktop, you can use Cartodruid sinchronization services to share a common view of your layers. This plugin allows you to send and receive incremental changes from your cartodruid workspace using sqlite databases as the package sending unit.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/itacyldev/QGIS-crtchk.git]]></homepage>
        <file_name>cartodruid_sync.0.15.zip</file_name>
        <icon>/media/packages/2024/icon_2yK7tgY.png</icon>
        <author_name><![CDATA[ITACyL]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cartodruid_sync/version/0.15/download/</download_url>
        <uploaded_by><![CDATA[itacyldev]]></uploaded_by>
        <create_date>2023-01-25T11:23:31.926005+00:00</create_date>
        <update_date>2024-05-16T17:34:33.386519+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/itacyldev/QGIS-crtchk.git]]></tracker>
        <repository><![CDATA[https://github.com/itacyldev/QGIS-crtchk.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>5684</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Gather Connector" version="0.5" plugin_id="2872">
        <description><![CDATA[Manage Gather projects. Find out more: www.lowlandgeospatial.com/gather]]></description>
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- BGT inlooptabel (gpkg)
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Output:
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For detailed information please check the manual. Click &#x27;Open manual&#x27; in the plug-in.]]></about>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GlownyUrzadGeodezjiIKartografii/WalidatorPlikowGML/issues]]></tracker>
        <repository><![CDATA[https://github.com/GlownyUrzadGeodezjiIKartografii/WalidatorPlikowGML]]></repository>
        <tags><![CDATA[python,gml,bdot10k,bdoo,gesut,egib,bdot500,prng,xsd,walidacja,rcn,mgr]]></tags>
        <downloads>42750</downloads>
        <average_vote>3.131096211537516</average_vote>
        <rating_votes>61</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Limburg Flood Impact" version="1.3.0" plugin_id="2892">
        <description><![CDATA[Limburg Flood Impact Plugin.]]></description>
        <about><![CDATA[Tooling made for Waterschap Limburg&#x27;s &quot;Water in Balans&quot; progamme to determine the flood risk of buildings and the origin of the flood water, on the basis of a set of maximum water depth maps (rasters) and buildings (polygons). &lt;/br&gt;&lt;/br&gt;&lt;a href=&quot;https://www.flaticon.com/free-icons/flood&quot; title=&quot;flood icons&quot;&gt;Flood icons created by Freepik - Flaticon&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nens/limburg-flood-impact]]></homepage>
        <file_name>limburg_flood_impact_plugin.1.3.0.zip</file_name>
        <icon>/media/packages/2023/icon_oMPkyK1.png</icon>
        <author_name><![CDATA[Lutra Consulting Ltd for Nelen &amp; Schuurmans]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/limburg_flood_impact_plugin/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[cahik]]></uploaded_by>
        <create_date>2023-03-01T13:43:55.624549+00:00</create_date>
        <update_date>2023-08-17T08:28:41.165675+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nens/limburg-flood-impact/issues]]></tracker>
        <repository><![CDATA[https://github.com/nens/limburg-flood-impact]]></repository>
        <tags><![CDATA[analysis,flood,dem,impact]]></tags>
        <downloads>2858</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dichtheitsprüfung Checker" version="1.3" plugin_id="2893">
        <description><![CDATA[With this plugin, the raw data from leak tests (.sew files) can be read and checked for content.]]></description>
        <about><![CDATA[This plugin allows for the content verification of leak tests on non-pressurized reaches using air in combination with the attributes of the corresponding reach. The raw data (*.sew files, commonly used format in Austria) is read and compared with the attributes of the reach. Both the master data and compliance with testing times are checked.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/a-matz/dp_checker]]></homepage>
        <file_name>dp_checker.1.3.zip</file_name>
        <icon>/media/packages/2024/icon_gilzeMj.png</icon>
        <author_name><![CDATA[Armin Matzl]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dp_checker/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[arminmatzl]]></uploaded_by>
        <create_date>2023-03-04T13:05:28.046214+00:00</create_date>
        <update_date>2024-03-10T19:40:14.437025+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/a-matz/dp_checker/issues]]></tracker>
        <repository><![CDATA[https://github.com/a-matz/dp_checker]]></repository>
        <tags><![CDATA[sewer,haltung,kanal,dichtheitsprüfung,druckprüfung,reach,leak test]]></tags>
        <downloads>2231</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Variable Selector" version="0.2" plugin_id="2894">
        <description><![CDATA[Variable Selector Plugin is based on Camp2Camp DimensionsSelector plugin, it propose a new way for the filtering method using expression and variable.]]></description>
        <about><![CDATA[Allow filtering multiple layers on a common field (for example &#x27;floor&#x27;) by selecting one value in an ordered list. The value is added to a qgis variable and usable in expressions to do the actual filtering.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TeoGoddet/QGIS-VariableSelector/blob/master/README.md]]></homepage>
        <file_name>variable_selector.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_JvFS4JJ.png</icon>
        <author_name><![CDATA[TéoGoddet]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/variable_selector/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[goddet]]></uploaded_by>
        <create_date>2023-03-04T18:09:17.690676+00:00</create_date>
        <update_date>2023-03-04T18:33:46.297316+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TeoGoddet/QGIS-VariableSelector/issues]]></tracker>
        <repository><![CDATA[https://github.com/TeoGoddet/QGIS-VariableSelector]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1415</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Gamepad Navigation" version="1.0.5" plugin_id="2896">
        <description><![CDATA[Navigate 2D and 3D map canvases using gamepad controllers (Playstation, Xbox, PC, etc.)]]></description>
        <about><![CDATA[Navigate 2D and 3D map canvases using gamepad controllers (Playstation, Xbox, PC, etc.)]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nirvn/GamepadNavigation]]></homepage>
        <file_name>GamepadNavigation.1.0.5.zip</file_name>
        <icon>/media/packages/2023/icon_WlTIrxG.png</icon>
        <author_name><![CDATA[Mathieu Pellerin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GamepadNavigation/version/1.0.5/download/</download_url>
        <uploaded_by><![CDATA[nirvn]]></uploaded_by>
        <create_date>2023-03-08T04:07:56.786864+00:00</create_date>
        <update_date>2023-03-26T08:29:35.314588+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nirvn/GamepadNavigation/issues]]></tracker>
        <repository><![CDATA[https://github.com/nirvn/GamepadNavigation]]></repository>
        <tags><![CDATA[xbox,gamepad,ps,ps5,controller,ps4]]></tags>
        <downloads>2124</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Extractor" version="1.2" plugin_id="2898">
        <description><![CDATA[Extractor allows for the extraction of data from raster images based on point, line, and polygon vectors and the application of zonal statistics. Its usefulness lies in its ability to work with a range of raster sources, making it ideal for time series analysis and landscape studies.]]></description>
        <about><![CDATA[The Extractor QGIS plugin is a tool for extracting data from raster layers using vector features like points, lines, and polygons. It&#x27;s invaluable for complex spatial analyses, especially in time series studies, allowing extraction from multiple layers to track changes over time. It can be used to analyze land use shifts by extracting vegetation cover, urbanization, etc., across different time points. It&#x27;s also vital in landscape studies, extracting environmental variables (elevation, slope, etc.) to understand biodiversity patterns and ecosystem functions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/stangandaho/Extractor/]]></homepage>
        <file_name>extractor.1.2.zip</file_name>
        <icon>/media/packages/2023/icon_ovjpbZo.png</icon>
        <author_name><![CDATA[Stanislas Mahussi GANDAHO]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/extractor/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[stangandaho]]></uploaded_by>
        <create_date>2023-03-11T08:25:56.473234+00:00</create_date>
        <update_date>2023-11-17T08:23:37.710905+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/stangandaho/Extractor/issues]]></tracker>
        <repository><![CDATA[https://github.com/stangandaho/Extractor]]></repository>
        <tags><![CDATA[vector,ecology,shapefile,point,analysis,polygon,line,statistics,table,time series,csv,layers]]></tags>
        <downloads>27827</downloads>
        <average_vote>4.579908401831964</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LRS-Editor" version="1.4.0" plugin_id="2901">
        <description><![CDATA[Editor for Linear Referencing Systems]]></description>
        <about><![CDATA[The plugin consists of a complete toolset for building and managing Linear Referencing Systems. It adds functionality for creating and editing Point-, Tour- and Continuous (linear) Events referencing any network of linear features. Measures and route ID are managed dynamically, external data can be imported, data checks are included and Tour- and Continuous Events are additionally represented in a separate line layer. Data is stored in a PostGIS database.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Holenstein-Ingenieure-AG/lrs-editor]]></homepage>
        <file_name>lrseditor.1.4.0.zip</file_name>
        <icon>/media/packages/2025/lrseditor_plugin.png</icon>
        <author_name><![CDATA[Holenstein Ingenieure AG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lrseditor/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[rmeier]]></uploaded_by>
        <create_date>2023-03-15T15:17:32.912519+00:00</create_date>
        <update_date>2025-03-24T16:15:15.710563+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Holenstein-Ingenieure-AG/lrs-editor/issues]]></tracker>
        <repository><![CDATA[https://github.com/Holenstein-Ingenieure-AG/lrs-editor]]></repository>
        <tags><![CDATA[vector,python,postgis,network,dynamic segmentation,linear referencing,lrs,linear referencing system]]></tags>
        <downloads>4719</downloads>
        <average_vote>4.332851905343851</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ScienceFlightPlanner" version="2.0.1" plugin_id="2902">
        <description><![CDATA[This plugin helps to create scientific flight plans.]]></description>
        <about><![CDATA[ScienceFlightPlanner helps to create flight plans for scientific purposes by adding useful functionality.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://scienceflightplanner.github.io/ScienceFlightPlanner]]></homepage>
        <file_name>science_flight_planner.2.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_KMHxfQ3.png</icon>
        <author_name><![CDATA[Abraham Wondimu, Anna Menshikova, Maxim Poliakov, Simon Povh, Leon Krüger, Lars Reining, Jonas Schröter, Moritz Vogel, Hannah Willkomm]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/science_flight_planner/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[sfp2023]]></uploaded_by>
        <create_date>2023-03-15T19:16:52.685587+00:00</create_date>
        <update_date>2025-03-18T20:47:23.481510+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ScienceFlightPlanner/ScienceFlightPlanner/issues]]></tracker>
        <repository><![CDATA[https://github.com/ScienceFlightPlanner/ScienceFlightPlanner]]></repository>
        <tags><![CDATA[python,planning,flight]]></tags>
        <downloads>2912</downloads>
        <average_vote>4.666407421809899</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Custom TitleBar" version="1.0.0" plugin_id="2903">
        <description><![CDATA[Configure what is displayed in the title bar (QGIS full version, sha, project name, ...)]]></description>
        <about><![CDATA[Configure what is displayed in the title bar (QGIS full version, sha, project name, ...)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/YoannQDQ/qgis-custom-titlebar]]></homepage>
        <file_name>custom_titlebar.1.0.0.zip</file_name>
        <icon>/media/packages/2023/icon_RDsBV8v.png</icon>
        <author_name><![CDATA[Yoann Quenach de Quivillic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/custom_titlebar/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[yquenach]]></uploaded_by>
        <create_date>2023-03-15T22:58:12.481085+00:00</create_date>
        <update_date>2023-03-15T22:58:13.789852+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/YoannQDQ/qgis-custom-titlebar/issues]]></tracker>
        <repository><![CDATA[https://github.com/YoannQDQ/qgis-custom-titlebar]]></repository>
        <tags><![CDATA[python,version,titlebar,icon]]></tags>
        <downloads>2468</downloads>
        <average_vote>4.555049438951228</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MOJXML Loader" version="0.6.2" plugin_id="2904">
        <description><![CDATA[This plugin is made for Japanese users. It converts Japanese &quot;MOJ Map XML&quot; (land registration polygon data) into geospatial formats. 法務省登記所備付地図データ（地図XML）の変換や読み込みを行います。]]></description>
        <about><![CDATA[This plugin is made for Japanese users. It converts Japanese &quot;MOJ Map XML&quot; (land registration polygon data) into geospatial formats. 法務省登記所備付地図データ（地図XML）の変換や読み込みを行います。プロセッシング・ツールボックスなどから呼び出して使用できます。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MIERUNE/qgis-mojxml-plugin]]></homepage>
        <file_name>mojxml_plugin.0.6.2.zip</file_name>
        <icon>/media/packages/2025/icon_flJ6ZDg.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mojxml_plugin/version/0.6.2/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
        <create_date>2023-03-17T08:20:21.177929+00:00</create_date>
        <update_date>2025-10-23T08:07:38.159087+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/qgis-mojxml-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/qgis-mojxml-plugin]]></repository>
        <tags><![CDATA[python,processing]]></tags>
        <downloads>21812</downloads>
        <average_vote>4.611025721745894</average_vote>
        <rating_votes>54</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Remote DB Plugin" version="1.3.0" plugin_id="2905">
        <description><![CDATA[Manage and open SSH connections to remote database servers]]></description>
        <about><![CDATA[Manage and open &lt;b&gt;ssh&lt;/b&gt; connections to remote database servers. This plugin aims to make it easier to connect to firewall protected databases, without using an external ssh tunnel software.
All your connections are listed in the UI, allowing you to easily setup ssh tunnels to an arbitrary number of remote computers, with just a few clicks. Each connection displays the mapping between remote &amp; local ports for convenience.
Currently, you can setup the following parameters:
-&lt;b&gt;name&lt;/b&gt;: A name for you top identify the connection (must be unique)
-&lt;b&gt;host&lt;/b&gt;: host computer (&lt;b&gt;IP&lt;/b&gt; or &lt;b&gt;domain&lt;/b&gt; name)
-&lt;b&gt;ssh_port&lt;/b&gt;: port on which the remote ssh server is listening
-&lt;b&gt;remote_port&lt;/b&gt;: port on which the remote database/service is listening
-&lt;b&gt;local_port&lt;/b&gt;: local port to use for forwarding
-&lt;b&gt;username&lt;/b&gt;: remote computer username (must have ssh access)
-&lt;b&gt;password&lt;/b&gt; (optional): remote computer password
-&lt;b&gt;id_file&lt;/b&gt; (optional): an ssh identity file to use instead of password
-&lt;b&gt;pkey_password&lt;/b&gt; (optional): the passphrase to the key in the id file
-&lt;b&gt;ssh_proxy&lt;/b&gt; (optional): proxy server to use, to connect to the remote host
-&lt;b&gt;ssh_proxy_enabled&lt;/b&gt; (optional): wether to use the proxy server


It is recommended to choose a &lt;b&gt;different local&lt;/b&gt; port for each connection, in order to be able to open many connections simultaneously. Also, ensure that each connection name is unique.
You can manage your connections via the UI, or you can use the button &lt;b&gt;Settings Folder&lt;/b&gt; to open the plugin folder, where the settings live. There, you will find a &lt;b&gt;connections.json&lt;/b&gt;, which you can edit or replace in bulk. This is where your connections are stored.
&lt;b&gt;Attention:&lt;/b&gt; in connections.json, your credentials are stored in &lt;b&gt;PLAIN TEXT&lt;/b&gt;. You &#x27;ve been warned...

Depends on &lt;a href=&quot;https://www.paramiko.org/&quot;&gt;paramiko&lt;/a&gt; and &lt;a href=&quot;https://pypi.org/project/sshtunnel/&quot;&gt;sshtunnel&lt;/a&gt;. The latter, developed by &lt;a href=&quot;https://github.com/pahaz&quot;&gt;Pavel White&lt;/a&gt; has been hard-coded into the plugin to simplify the installation process. Its own dependencies though have to be installed when installing the plugin. You will be automatically prompted to install them.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lymperis-e/qgis_remote_db_plugin]]></homepage>
        <file_name>remote_db.1.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_08MT2T7.png</icon>
        <author_name><![CDATA[Lymperis Efstathios]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/remote_db/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[elymperis]]></uploaded_by>
        <create_date>2023-03-18T04:17:00.421666+00:00</create_date>
        <update_date>2026-03-22T15:56:07.789138+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lymperis-e/qgis_remote_db_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lymperis-e/qgis_remote_db_plugin]]></repository>
        <tags><![CDATA[python,database,remote,tunnel,ssh]]></tags>
        <downloads>7236</downloads>
        <average_vote>4.1330577961469235</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CPR" version="0.2" plugin_id="2906">
        <description><![CDATA[CPR (Colour Pattern Regression)]]></description>
        <about><![CDATA[The Colour Pattern Regression (CPR) algorithm complement for QGIS is presented for determining and quantifying the relationship between aerial images and raster maps. Aerial images can be readily decomposed into their standard RGB spaces that assign numerical values to their colours. According to them, a linear regression can be established to correlate raster values with the colour patterns, and if the model performance is considered satisfactory, the final result will provide a raster interpolation with finest resolution according to colour nuances within the aerial image. The CPR Algorithm allow both, the calculation of the regression coefficient and the evaluation of the goodness of fit of the model. The use of the CPR-QGIS plugin could enable the study of the relationships of aerial images and earth surface products – e.g. soil moisture content, landcover, vegetation and forests, soils, urban heat islands – or marine products – e.g. chlorophyll, total suspended solids. The tool is open source and ill be readily adapted with additional features and improved general performance ratings thresholds for the physical problems to be solved.The Colour Pattern Regression (CPR) algorithm complement for QGIS is presented for determining and quantifying the relationship between aerial images and raster maps. Aerial images can be readily decomposed into their standard RGB spaces that assign numerical values to their colours. According to them, a linear regression can be established to correlate raster values with the colour patterns, and if the model performance is considered satisfactory, the final result will provide a raster interpolation with finest resolution according to colour nuances within the aerial image. The CPR Algorithm allow both, the calculation of the regression coefficient and the evaluation of the goodness of fit of the model. The use of the CPR-QGIS complement could enable the study of the relationships of aerial images and earth surface products – e.g. soil moisture content, landcover, vegetation and forests, soils, urban heat islands – or marine products – e.g. chlorophyll, total suspended solids. The tool is open source and will be readily adapted with additional features and improved general performance ratings thresholds for the physical problems to be solved. Please read and cite the reference article: P. Blanco-Gómez, C. Amurrio-Garcia, J.L. Jiménez-García et al., CPR Algorithm—A new interpolation methodology and QGIS plugin for Colour Pattern Regression between aerial images and raster maps. SoftwareX (2023) 101356, https://doi.org/10.1016/j.softx.2023.101356.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/vielca/CPR]]></homepage>
        <file_name>CPR.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_UxgZrT4.png</icon>
        <author_name><![CDATA[Vielca Ingenieros]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CPR/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[pablobla]]></uploaded_by>
        <create_date>2023-03-24T07:31:28.512507+00:00</create_date>
        <update_date>2024-09-03T14:30:02.421567+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vielca/CPR/issues]]></tracker>
        <repository><![CDATA[https://github.com/vielca/CPR]]></repository>
        <tags><![CDATA[python,interpolation,regression]]></tags>
        <downloads>3257</downloads>
        <average_vote>3.4982508745627188</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Delete all" version="1.1.1" plugin_id="2909">
        <description><![CDATA[QGIS plugin to delete all groups and layers from the layers widget]]></description>
        <about><![CDATA[Adds a toolbar icon to clear the layers widget with one click, e.g. useful when developing and testing QGIS models.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kreis-viersen/delete-all]]></homepage>
        <file_name>delete-all.1.1.1.zip</file_name>
        <icon>/media/packages/2026/delete_all_mJwX8rR.png</icon>
        <author_name><![CDATA[Kreis Viersen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/delete-all/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[kreisviersen]]></uploaded_by>
        <create_date>2023-03-27T06:39:28.462244+00:00</create_date>
        <update_date>2026-03-03T09:49:09.037198+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kreis-viersen/delete-all]]></tracker>
        <repository><![CDATA[https://github.com/kreis-viersen/delete-all]]></repository>
        <tags><![CDATA[layer,remove,delete,development,layers,tool,toolbar,layertree]]></tags>
        <downloads>3819</downloads>
        <average_vote>4.733017798813413</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Converge Lines" version="1.0.0" plugin_id="2910">
        <description><![CDATA[Creates a point of convergence of lines within a selected area.]]></description>
        <about><![CDATA[Plugin to create a point of convergence of lines within a selected area. This tool searches for line endpoints inside the selected area, calculates the midpoint point between those vertices and translate the endpoints to the average point coordinates.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_converge_lines]]></homepage>
        <file_name>cigeoe_converge_lines.1.0.0.zip</file_name>
        <icon>/media/packages/2023/icon_SPC6oJ5.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_converge_lines/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2023-03-27T08:20:52.483958+00:00</create_date>
        <update_date>2023-03-27T08:20:52.768277+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_converge_lines/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_converge_lines]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>1927</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Austria Weather API" version="0.7" plugin_id="2912">
        <description><![CDATA[QGis connection to Geosphere Austria API]]></description>
        <about><![CDATA[QGis connection to the Geosphere Austria API (https://data.hub.geosphere.ac.at/).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/a-matz/austria_weather_api]]></homepage>
        <file_name>austria_weather_api.0.7.zip</file_name>
        <icon>/media/packages/2024/icon_bLnNTng.png</icon>
        <author_name><![CDATA[Armin Matzl]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/austria_weather_api/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[arminmatzl]]></uploaded_by>
        <create_date>2023-03-27T17:08:36.271535+00:00</create_date>
        <update_date>2024-11-22T22:09:00.930260+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/a-matz/austria_weather_api/issues]]></tracker>
        <repository><![CDATA[https://github.com/a-matz/austria_weather_api]]></repository>
        <tags><![CDATA[api,austria,weather,zamg,geosphere austria]]></tags>
        <downloads>5467</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PyQGIS Resource Browser" version="0.3.0" plugin_id="2913">
        <description><![CDATA[A Qt resource browser right into QGIS.]]></description>
        <about><![CDATA[Helper plugin for developers to browse, preview and get the embedded icons in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://guts.github.io/qgis-plugin-resource-browser/]]></homepage>
        <file_name>pyqgis_resource_browser.0.3.0.zip</file_name>
        <icon>/media/packages/2023/pyqgis_i1WRrr0.png</icon>
        <author_name><![CDATA[Julien Moura, Benjamin Jakimow]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pyqgis_resource_browser/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[geojulien]]></uploaded_by>
        <create_date>2023-03-27T17:58:03.651614+00:00</create_date>
        <update_date>2023-04-20T19:18:51.439279+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Guts/qgis-plugin-resource-browser/issues]]></tracker>
        <repository><![CDATA[https://github.com/Guts/qgis-plugin-resource-browser]]></repository>
        <tags><![CDATA[development,plugin,pyqgis,resource,icon]]></tags>
        <downloads>11952</downloads>
        <average_vote>4.3842781324513505</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Estonian Address Search" version="1.0.1" plugin_id="2915">
        <description><![CDATA[Plugin enables to search Estonian official addresses and cadastral units provided by In-ADS API]]></description>
        <about><![CDATA[For search addresses, simply write the desired address or cadastral unit&#x27;s id in the plugin&#x27;s search bar. To move to an address object, select the address from the results.
It is also possible to select the address on the map by activating the toggle button &quot;Click on the map to get the address&quot;. The cursor will change to a cross and you can now click on the map to display the address of the location. Clicking again restores the normal cursor.
Settings window enables:
- select between general address search (all object types are searched for and found addresses are returned (if multiple objects are related to a single address, the one with the highest priority is displayed) or address object type based search and include or exlude different data stores (e.g. buildings, streets, administrative units..) addresses are searched from
- select between two different zoom controls: zoom or pan to an address object
- specify number of results being displayed (default is 10, maximum is 100)
- choose whether only objects with uniqueness requirement are returned. Buildings requiring a unique address are e.g. residential buildings, schools, commercial buildings, accommodation buildings, hospitals, etc.; buildings not requiring a unique address are e.g. sheds and other outbuildings in which people are not expected to reside on a daily basis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://inaadress.maaamet.ee/]]></homepage>
        <file_name>estonian-address-search.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_hhjfF0p.png</icon>
        <author_name><![CDATA[Estonian Land and Spatial Development Board]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/estonian-address-search/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[kirken]]></uploaded_by>
        <create_date>2023-03-30T09:12:21.333191+00:00</create_date>
        <update_date>2024-04-16T12:19:27.294336+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://koodivaramu.eesti.ee/maa-ja-ruumiamet/qgis-plugins/estonian-address-search/-/issues]]></tracker>
        <repository><![CDATA[https://koodivaramu.eesti.ee/maa-ja-ruumiamet/qgis-plugins/estonian-address-search]]></repository>
        <tags><![CDATA[search,address,api,estonia,in-ads]]></tags>
        <downloads>2915</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CCD-Plugin" version="25.8" plugin_id="2916">
        <description><![CDATA[Qgis plugin for Continuous Change Detection (CCDC) algorithm of a time series at a given coordinate]]></description>
        <about><![CDATA[The CCD-Plugin uses Google Earth Engine to get Landsat or Sentinel2 datasets and run the Continuous Change Detection 
(CCDC) algorithm to analyze the trends and breakpoints of change over multi-year time series at a given coordinate.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SMByC/CCD-Plugin]]></homepage>
        <file_name>CCD_Plugin.25.8.zip</file_name>
        <icon>/media/packages/2025/ccd_plugin.svg</icon>
        <author_name><![CDATA[Xavier Corredor Llano, SMByC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CCD_Plugin/version/25.8/download/</download_url>
        <uploaded_by><![CDATA[xaviercll]]></uploaded_by>
        <create_date>2023-03-30T18:57:27.090836+00:00</create_date>
        <update_date>2025-08-28T00:42:23.557632+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SMByC/CCD-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/SMByC/CCD-Plugin]]></repository>
        <tags><![CDATA[landsat,time series,change detection,gee,ccdc,trends]]></tags>
        <downloads>10772</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MLIT People Flow Visualization Tool" version="2.0.1" plugin_id="2917">
        <description><![CDATA[This plugin visualize people flow]]></description>
        <about><![CDATA[The &quot;MLIT People Flow Visualization Tool&quot; was developed as a prototype in the 2022 People Flow Data Visualization Study conducted by the Information Promotion Division, Real Estate and Construction Economy Bureau, Ministry of Land, Infrastructure, Transport and Tourism, and improved in 2023. This tool was developed as a prototype to promote the utilization of people flow data, aiming to provide an opportunity for users who have never handled people flow data with GIS or BI tools to start utilizing people flow data. For this reason, we have packaged this tool by focusing on expressions that are often used in visualizing people flow data to make it as easy as possible to visualize.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geospatial.jp/ckan/dataset/mlit_people_flow_viz_tool_v2]]></homepage>
        <file_name>people_flow_visualization.2.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_49mq1Wl.png</icon>
        <author_name><![CDATA[Ministry of Land, Infrastructure, Transport and Tourism]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/people_flow_visualization/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[jinryuhudojyouhoukatsuyou]]></uploaded_by>
        <create_date>2023-03-31T00:50:46.881758+00:00</create_date>
        <update_date>2024-04-11T05:53:46.314050+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://www.geospatial.jp/ckan/dataset/mlit_people_flow_viz_tool_v2]]></tracker>
        <repository><![CDATA[https://www.geospatial.jp/ckan/dataset/mlit_people_flow_viz_tool_v2]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4501</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DataSud" version="0.9.2" plugin_id="2918">
        <description><![CDATA[Plugin pour QGIS 3 fournissant un accès simple aux flux de données géographiques (WMS, WFS) publiées par la Région Sud sur DataSud.fr.]]></description>
        <about><![CDATA[Plugin for QGIS 3 providing easy access to geographic data streams (WMS, WFS) published by the Region Sud on DataSud.fr.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.datasud.fr/region-sud/qgis-plugin/wiki]]></homepage>
        <file_name>datasud.0.9.2.zip</file_name>
        <icon>/media/packages/2023/logo_DataSud_03_V_tT4UTdr.jpg</icon>
        <author_name><![CDATA[Neogeo Technologies, Région Hauts-de-France, repris par région Bretagne, l&#x27;UMR LETG, Benjamin Chartier, repris par la Région Sud.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/datasud/version/0.9.2/download/</download_url>
        <uploaded_by><![CDATA[tonyemery]]></uploaded_by>
        <create_date>2023-04-03T12:37:34.265453+00:00</create_date>
        <update_date>2023-05-05T10:04:13.742676+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://gitlab.datasud.fr/region-sud/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://gitlab.datasud.fr/region-sud/qgis-plugin]]></repository>
        <tags><![CDATA[openstreetmap,osm,provence-alpes-côte-d&#x27;azur,région sud,paca,datasud]]></tags>
        <downloads>3426</downloads>
        <average_vote>3.799240151969606</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SeaLevelTool" version="1.4" plugin_id="2919">
        <description><![CDATA[Adjust styling on raster layer by a sea level curve.]]></description>
        <about><![CDATA[Adjust styling on raster layer by a sea level curve.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/patrick-morrison/qgis_sea_level_tool]]></homepage>
        <file_name>qgis_sea_level_tool.1.4.zip</file_name>
        <icon>/media/packages/2025/icon_aa6LEeV.png</icon>
        <author_name><![CDATA[Patrick Morrison]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_sea_level_tool/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[patrickmorrison]]></uploaded_by>
        <create_date>2023-04-04T08:04:50.607222+00:00</create_date>
        <update_date>2025-07-27T14:19:38.030891+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/patrick-morrison/qgis_sea_level_tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/patrick-morrison/qgis_sea_level_tool]]></repository>
        <tags><![CDATA[python,geomorphology,archaeology,sea level]]></tags>
        <downloads>4596</downloads>
        <average_vote>4.428255124633955</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tile Index Generator" version="1.0" plugin_id="2920">
        <description><![CDATA[This plugin creates tile index in vector format for XYZ tiles.]]></description>
        <about><![CDATA[This plugin creates tile index in vector format for XYZ tiles based on given zoom levels.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_tile_index_generator_plugin]]></homepage>
        <file_name>tile_index_generator.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_vwb37Rf.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tile_index_generator/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2023-04-04T13:51:51.570700+00:00</create_date>
        <update_date>2023-04-04T13:51:51.961937+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_tile_index_generator_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_tile_index_generator_plugin/tree/main/tile_index_generator]]></repository>
        <tags><![CDATA[vector,python,tile,wmts,xyz]]></tags>
        <downloads>6282</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Adresssuche" version="0.1" plugin_id="2923">
        <description><![CDATA[Searching for an adresspoint in Germany based on offical data - ALKIS Adresssuche]]></description>
        <about><![CDATA[Dieses Plugin dient der Suche einer Adresse auf den aktuellen ALKIS Daten. Kann aber auch für andere Daten verwendet werden.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/thmskn/address_search]]></homepage>
        <file_name>address_search.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_3mzoMMg.png</icon>
        <author_name><![CDATA[Thomas Knäuper]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/address_search/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[thmskn]]></uploaded_by>
        <create_date>2023-04-05T16:49:03.818832+00:00</create_date>
        <update_date>2023-04-05T16:49:04.282703+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/thmskn/address_search/issues]]></tracker>
        <repository><![CDATA[https://github.com/thmskn/address_search]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>10373</downloads>
        <average_vote>4.789221619914741</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Indiana Ortho Imagery" version="0.2.10" plugin_id="2925">
        <description><![CDATA[This plugin provide easy access to Indiana Ortho Imageries]]></description>
        <about><![CDATA[This plugin provide eash access to Indiana Ortho Imageries.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gdslab/indiana_ortho]]></homepage>
        <file_name>indiana_ortho.0.2.10.zip</file_name>
        <icon>/media/packages/2025/icon_dDHZI5X.png</icon>
        <author_name><![CDATA[Jinha Jung]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/indiana_ortho/version/0.2.10/download/</download_url>
        <uploaded_by><![CDATA[jinha]]></uploaded_by>
        <create_date>2023-04-07T17:40:51.510319+00:00</create_date>
        <update_date>2025-02-08T16:14:28.236481+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gdslab/indiana_ortho/issues]]></tracker>
        <repository><![CDATA[https://github.com/gdslab/indiana_ortho]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>11312</downloads>
        <average_vote>3.999200159968006</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bestagon" version="1.3.2" plugin_id="2926">
        <description><![CDATA[Form (mostly Hexagon) generator for point intensities]]></description>
        <about><![CDATA[I like hexagons.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/KonstiDE/Bestagon]]></homepage>
        <file_name>Bestagon-master.1.3.2.zip</file_name>
        <icon>/media/packages/2023/icon_xB5zPjL.png</icon>
        <author_name><![CDATA[Konstantin Müller]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Bestagon-master/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[caipi]]></uploaded_by>
        <create_date>2023-04-08T11:21:59.138683+00:00</create_date>
        <update_date>2023-11-12T12:08:36.519153+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KonstiDE/Bestagon/issues]]></tracker>
        <repository><![CDATA[https://github.com/KonstiDE/Bestagon]]></repository>
        <tags><![CDATA[forms,hexagon,intensity]]></tags>
        <downloads>3480</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DMP Data Catalogue" version="1.3.0" plugin_id="2928">
        <description><![CDATA[Discover and add layers from the Danish Environmental Portals (Danmarks Miljøportal) data catalogue]]></description>
        <about><![CDATA[With the Danish Environmental Portal plugin, you can easily load all layers from the Danish Environmental Portal&#x27;s Data Catalog. The Data Catalog contains all map layers displayed from the public databases with nature and environmental data found at the Environmental Portal, such as the Naturdatabasen, DKjord, Arealeditering, PULS, VanDa, etc.

In addition to these layers, the Data Catalog contains several hundred other publicly available layers relevant to working with environmental and nature data. Data is displayed via web services, and most layers are available as WMS, WFS, or WMTS. It is possible to switch between desired types in the plugin.

For all layers, it is possible to view metadata, which includes a description of the map layer, tags, data owner, and other information about the data.

The map layers are grouped into main categories but can also be sorted by data owner or data collections if the map is part of a collection. Additionally, the search field can be used to find desired datasets, after which the map layer is easily added to the view. It is also possible to add layers from collections.

About the Danish Environmental Portal

The Danish Environmental Portal is a public partnership owned by the state, municipalities, and regions, aimed at supporting digital environmental management in Denmark. The basic idea is that the state, municipalities, and regions input, update, and retrieve data from the same databases, and that data is also made available to businesses and citizens.

It includes data on the environment, water, nature, land use, and climate adaptation. The data is used across various areas, for example, when citizens retrieve soil contamination certificates, when municipalities designate pesticide-free areas, or when the state prepares the national water plan, and wastewater regulations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://miljoeportal.dk/]]></homepage>
        <file_name>dmpcatalogue.1.3.0.zip</file_name>
        <icon>/media/packages/2025/dmpcatalogue.svg</icon>
        <author_name><![CDATA[Danmarks Miljøportal]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dmpcatalogue/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[danmarksmiljoeportal]]></uploaded_by>
        <create_date>2023-04-12T10:13:40.470983+00:00</create_date>
        <update_date>2025-11-26T09:36:50.694681+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/danmarksmiljoeportal/datacatalog-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/danmarksmiljoeportal/datacatalog-qgis-plugin]]></repository>
        <tags><![CDATA[wfs,wms,data,catalog,danmark,denmark,ortofoto,dmp,jordforurening,miljødata,danmarks miljøportal,katalog,dmp data catalogue]]></tags>
        <downloads>16260</downloads>
        <average_vote>4.356831654881795</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenCage Geocoder" version="1.0.1" plugin_id="2930">
        <description><![CDATA[Geocoding using the OpenCage API]]></description>
        <about><![CDATA[Geocoding using the OpenCage API.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OpenCageData/opencage-qgis-plugin]]></homepage>
        <file_name>opencage_geocoder.1.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_dqAA60R.png</icon>
        <author_name><![CDATA[doublebyte]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/opencage_geocoder/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[doublebyte]]></uploaded_by>
        <create_date>2023-04-17T11:50:28.877884+00:00</create_date>
        <update_date>2023-04-17T11:50:29.072386+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenCageData/opencage-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenCageData/opencage-qgis-plugin]]></repository>
        <tags><![CDATA[python,geocoding,addresses,forward geocoder,reverse geocoder]]></tags>
        <downloads>5126</downloads>
        <average_vote>4.521542541628625</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TianDiTu Tools" version="0.5.5" plugin_id="2931">
        <description><![CDATA[天地图底图加载]]></description>
        <about><![CDATA[QGIS 天地图工具，方便进行天地图瓦片底图的添加以及简单实现了部分天地图 Web 服务 API（地名搜索、地理编码查询、逆地理编码查询）]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis-plugin-tianditu.liuxs.pro/]]></homepage>
        <file_name>tianditu-tools.0.5.5.zip</file_name>
        <icon>/media/packages/2025/icon_gdSx60m.png</icon>
        <author_name><![CDATA[liuxspro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tianditu-tools/version/0.5.5/download/</download_url>
        <uploaded_by><![CDATA[liuxspro]]></uploaded_by>
        <create_date>2023-04-18T12:28:28.721353+00:00</create_date>
        <update_date>2025-08-28T12:53:52.351424+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/liuxspro/qgis-plugin-tianditu/issues]]></tracker>
        <repository><![CDATA[https://github.com/liuxspro/qgis-plugin-tianditu]]></repository>
        <tags><![CDATA[basemap,geocoder,xyz,tianditu,天地图]]></tags>
        <downloads>118267</downloads>
        <average_vote>4.706400429355829</average_vote>
        <rating_votes>218</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenCraterTool" version="0.5" plugin_id="2933">
        <description><![CDATA[A tool to measure and compare craters]]></description>
        <about><![CDATA[The OpenCraterTool enables a map projection-independent measurement of crater sizes as basis for accurate dating of planetary surfaces.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.24.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/thomasheyer/OpenCraterTool]]></homepage>
        <file_name>opencratertool.0.5.zip</file_name>
        <icon>/media/packages/2026/icon0_FDX7Syf.png</icon>
        <author_name><![CDATA[Thomas Heyer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/opencratertool/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[thomasheyer]]></uploaded_by>
        <create_date>2023-04-19T12:01:18.122890+00:00</create_date>
        <update_date>2026-04-08T10:44:42.897880+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/thomasheyer/OpenCraterTool/issues]]></tracker>
        <repository><![CDATA[https://github.com/thomasheyer/OpenCraterTool]]></repository>
        <tags><![CDATA[vector,python,digitizing,circle,crater]]></tags>
        <downloads>4377</downloads>
        <average_vote>4.771360409137012</average_vote>
        <rating_votes>70</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lidar Manager" version="0.9.10" plugin_id="2934">
        <description><![CDATA[Manage lidar (dtm/dsm) dataset from Tile Index Layer]]></description>
        <about><![CDATA[Qgis Plugin to manage small and large LIDAR dataset. Useful to GIS user with intensive job in LIDAR analysis.

Request LIDAR file(s) in readable directory and user with read and write privilege for user directory. 
Tools use OSGgeo4W shell and require no restrictions on using cmd.exe.
Tested with Qgis 3.10 and following

Add file(s) lidar and/or single virtual raster file directly from Tile Index Layer with valid field path. Set on the fly hillshading parameter and CRS.
Change hillshading setting to LIDAR in TOC.

Other Tools:
- copy LIDAR selected in Tile Index Layer to destination directory
- create Tile Index Layer from directory/subdirectory or from LIDAR in TOC and populate valid field path. NB use gdaltileindex from OSGeo4w shell, 
it&#x27;very fast process but need OSGgeo4W shell active in original directory istallation (OSGEO4W_ROOT enviromental system variable)
- create virtual raster file from LIDAR active in TOC
- check path field in Tile Index Layer to control valid path for raster
- interactive help string and log message]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lsulli/LidarManager]]></homepage>
        <file_name>LidarManager.0.9.10.zip</file_name>
        <icon>/media/packages/2023/LidarManager.ico</icon>
        <author_name><![CDATA[Lorenzo Sulli - Autorità di bacino distrettuale Appennino settentrionale]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LidarManager/version/0.9.10/download/</download_url>
        <uploaded_by><![CDATA[lsulli]]></uploaded_by>
        <create_date>2023-04-20T15:22:42.133264+00:00</create_date>
        <update_date>2023-08-04T13:15:25.943097+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lsulli/LidarManager/issues]]></tracker>
        <repository><![CDATA[https://github.com/lsulli/LidarManager]]></repository>
        <tags><![CDATA[raster,lidar,tile index]]></tags>
        <downloads>8079</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Datos Espaciales de Referencia de Andalucía (DERA)" version="0.9" plugin_id="2938">
        <description><![CDATA[Loading of wfs/wms services from DERA Spatial Reference Data.Carga de los servicios wfs/wms de los Datos Espaciales de Referencia DERA]]></description>
        <about><![CDATA[Carga de los servicios wfs/wms de los Datos Espaciales de Referencia, eligiendo el tema y la capa concreta]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mcanop/wms_wfs_DERA]]></homepage>
        <file_name>wms_wfs_dera.0.9.zip</file_name>
        <icon>/media/packages/2025/icon_UK6WTMv.png</icon>
        <author_name><![CDATA[Manuel Cano]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wms_wfs_dera/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[mcanop]]></uploaded_by>
        <create_date>2023-04-24T07:24:06.392447+00:00</create_date>
        <update_date>2025-12-23T10:14:09.103623+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mcanop/wms_wfs_DERA]]></tracker>
        <repository><![CDATA[https://github.com/mcanop/wms_wfs_DERA]]></repository>
        <tags><![CDATA[vector,wfs,wms,andalucía,vectorial,espaciales,capas,información,dera,datos]]></tags>
        <downloads>11117</downloads>
        <average_vote>4.356831654881795</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Green View Index" version="1.2" plugin_id="2939">
        <description><![CDATA[A plugin for Green View Index (GVI) operations]]></description>
        <about><![CDATA[A plugin to easily calculate Green View Index through Google Street View images. It includes 3 main tools: Generate Sample Points, Download Google Street View Images and Calculate Green View Index. It requires a Street View Static API and it uses the algorithm from Li et. al. (2015) to extract green pixels from an image. It has two python libraries as dependencies: scikit-image and gpsphoto. They can easily be installed through pip and OSGeo4W Shell.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kowalski93/Green-View-Index-for-QGIS]]></homepage>
        <file_name>green_view_index.1.2.zip</file_name>
        <icon>/media/packages/2023/logo_wnEFoAI.png</icon>
        <author_name><![CDATA[Alexandros Voukenas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/green_view_index/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[voukenas]]></uploaded_by>
        <create_date>2023-04-24T11:37:06.044684+00:00</create_date>
        <update_date>2024-05-19T09:59:44.442064+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kowalski93/Green-View-Index-for-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/kowalski93/Green-View-Index-for-QGIS]]></repository>
        <tags><![CDATA[python,street view,gvi,urban green,green view index,greenview]]></tags>
        <downloads>5697</downloads>
        <average_vote>4.374726579588775</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AemetOpenDataDownloader" version="0.1" plugin_id="2941">
        <description><![CDATA[This Plugin download open data from aemet]]></description>
        <about><![CDATA[&lt;p&gt;Plugin para la descarga por provincias de los datos meteorologicos de las ultimas 24h, diarios, mensuales y normales en qgis de los Open Data de AEMET.&lt;/p&gt;&lt;p&gt;AEMET OpenData es un API REST (Application Programming Interface. REpresentational State Transfer) a través del cual se pueden descargar gratuitamente los datos explicitados en el Anexo II de la resolución de 30 de diciembre de 2015 de AEMET, por la que se establecen los precios públicos que han de regir la prestación de servicios meteorológicos y climatológicos. Esta resolución ha sido publicada en el BOE nº 4 de 5 de enero de 2016. &lt;a href=&#x27;https://opendata.aemet.es/centrodedescargas/inicio&#x27;&gt;https://opendata.aemet.es/centrodedescargas/inicio&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Para poder acceder a AEMET OpenData, es necesario solicitar una API Key. Una API Key es un identificador, mediante el cual se contabilizan e imputan los accesos que un usuario realiza al API.&lt;/p&gt;&lt;p&gt;&lt;a href=&#x27;https://opendata.aemet.es/centrodedescargas/altaUsuario?&#x27;&gt;https://opendata.aemet.es/centrodedescargas/altaUsuario?&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href=&#x27;https://github.com/Parpaya/AemetOpenDataDownloader&#x27;&gt;https://github.com/Parpaya/AemetOpenDataDownloader&lt;/a&gt;&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Parpaya/AemetOpenDataDownloader]]></homepage>
        <file_name>AemetOpenDataDownloader.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_gq7vtRK.png</icon>
        <author_name><![CDATA[Florentino Mostaza]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AemetOpenDataDownloader/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[parpaya]]></uploaded_by>
        <create_date>2023-04-25T19:35:19.377030+00:00</create_date>
        <update_date>2023-04-25T19:35:22.365242+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Parpaya/AemetOpenDataDownloader]]></tracker>
        <repository><![CDATA[https://github.com/Parpaya/AemetOpenDataDownloader]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8913</downloads>
        <average_vote>4.499437570303712</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Holes 3D" version="1.0.0" plugin_id="2942">
        <description><![CDATA[Draws holes in polygons (3D)]]></description>
        <about><![CDATA[This plugin creates holes in polygons, in 3D, using Inverse Distance Weighting (IDW) interpolation]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_holes_3d]]></homepage>
        <file_name>cigeoe_holes_3d.1.0.0.zip</file_name>
        <icon>/media/packages/2023/icon_zcvvosP.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_holes_3d/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2023-04-26T11:38:12.490553+00:00</create_date>
        <update_date>2023-04-26T11:38:15.254678+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_holes_3d/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_holes_3d]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>2624</downloads>
        <average_vote>3.3993201359728054</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Earth, Sun, Moon, and Planets" version="3.1.6" plugin_id="2944">
        <description><![CDATA[Tools to calculate the positions of the sun, moon, and planets when viewed directly overhead for a particular date and time. Create day/night terminator vector layers. Display solar and lunar information for a coordinate at the specified date and time. It provides expression functions to access solar and lunar information. (Note the Python library enhancements.)]]></description>
        <about><![CDATA[Enhance this plugin with two Python libraries not provided by the QGIS distribution. Open up the OSGeo4W Shell and type &quot;pip install timezonefinder skyfield&quot; or whatever method you use to install Python libraries. You don&#x27;t need to be a system administrator to do this. Without adding in these libraries, the only algorithms available are the &quot;Day/Night terminator&quot; and &quot;Sun position directly overhead&quot;

This plugin provides tools to calculate the positions of the sun, moon, and planets when viewed directly overhead for a particular date and time. It displays solar and lunar information for a coordinate at the specified date and time. It will produce the day/night terminator line, and twilight polygons.

The plugin provides expressions to obtains the current date and time, solar zenith, moon zenith, moon phase, and other solar and lunar information from the field calculaor.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-earthsunmoon-plugin]]></homepage>
        <file_name>earthsunmoon.3.1.6.zip</file_name>
        <icon>/media/packages/2026/icon_Cr6PI1E.png</icon>
        <author_name><![CDATA[Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/earthsunmoon/version/3.1.6/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2023-04-26T17:12:26.146977+00:00</create_date>
        <update_date>2026-03-13T18:48:57.883115+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-earthsunmoon-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-earthsunmoon-plugin]]></repository>
        <tags><![CDATA[time,expression,conversion,moon,mars,field calculator,sunset,sunrise,date,nautical,noon,weekday,sun,dawn,dusk,mercury,uranus,pluto,earth,jupiter,venus,saturn,neptune,planet,planets,twilight,civil,astornomical,terminator line]]></tags>
        <downloads>15929</downloads>
        <average_vote>4.333092605966335</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Chandrayaan-2 IIRS" version="1.0" plugin_id="2947">
        <description><![CDATA[Generates reflectance from Radiance data of  Imaging Infrared Spectrometer sensor of Chandrayaan 2]]></description>
        <about><![CDATA[This plugin performs thermal correction in the radiance data of Imaging Infrared Spectrometer (IIRS) sensor of Chandrayaan 2. Algorithm of the plugin can be found at &lt;a href=&quot;https://www.sciencedirect.com/science/article/abs/pii/S0019103522001853&quot;&gt; Verma, P. A., Chauhan, M., &amp; Chauhan, P. (2022). Lunar surface temperature estimation and thermal emission correction using Chandrayaan-2 imaging infrared spectrometer data for H2O &amp; OH detection using 3 μm hydration feature. Icarus, 383, 115075 &lt;/a&gt;. Visit homepage for instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/prabhakaralok/CH2IIRS]]></homepage>
        <file_name>thermal.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_ihueap1.png</icon>
        <author_name><![CDATA[Prabhakar Alok Verma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/thermal/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[prabhakarosgeo]]></uploaded_by>
        <create_date>2023-05-01T09:44:17.169134+00:00</create_date>
        <update_date>2023-05-01T09:44:17.753783+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/prabhakaralok/CH2IIRS]]></tracker>
        <repository><![CDATA[https://github.com/prabhakaralok/CH2IIRS]]></repository>
        <tags><![CDATA[python,moon,hyperspectral,chandrayaan,lunar,level 2,iirs]]></tags>
        <downloads>1783</downloads>
        <average_vote>4.582951420714941</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FuzzyJoinTables" version="0.1" plugin_id="2948">
        <description><![CDATA[Join tables using min Damerau-Levenshtein distance]]></description>
        <about><![CDATA[Join two tables through text columns using minimal Damerau-Levershtein distance.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/zsiki/fuzzy_join]]></homepage>
        <file_name>fuzzy_join.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_Sn2Nf6G.png</icon>
        <author_name><![CDATA[Zoltán Siki]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fuzzy_join/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[Siki]]></uploaded_by>
        <create_date>2023-05-01T15:07:12.019299+00:00</create_date>
        <update_date>2023-05-01T15:07:12.378927+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zsiki/fuzzy_join]]></tracker>
        <repository><![CDATA[https://github.com/zsiki/fuzzy_join]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1761</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qaequilibrae" version="26.76.7" plugin_id="2950">
        <description><![CDATA[Transportation modeling toolbox for QGIS]]></description>
        <about><![CDATA[QAequilibraE is the GUI for AequilibraE, a transportation modeling package designed to be an open-source alternative to traditional commercial packages. It is a comprehensive set of tools for modeling and visualization, including incredibly fast equilibrium traffic assignment, synthetic gravity models, network editing, and GTFS importer. http://www.aequilibrae.com/.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.10</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.aequilibrae.com/latest/qgis/index.html]]></homepage>
        <file_name>qaequilibrae.26.76.7.zip</file_name>
        <icon>/media/packages/2026/icon_h8mBNgz.png</icon>
        <author_name><![CDATA[Pedro Camargo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qaequilibrae/version/26.76.7/download/</download_url>
        <uploaded_by><![CDATA[tomouterloop]]></uploaded_by>
        <create_date>2023-05-05T12:14:11.535519+00:00</create_date>
        <update_date>2026-03-25T01:40:37.730050+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aequilibrae/QAequilibraE/issues]]></tracker>
        <repository><![CDATA[https://github.com/AequilibraE/QAequilibraE]]></repository>
        <tags><![CDATA[traffic,transport,modeling,transportation,gtfs]]></tags>
        <downloads>17338</downloads>
        <average_vote>4.171309391160253</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Adjust Style" version="2.2" plugin_id="2952">
        <description><![CDATA[Quickly adjust the symbology (colors, stroke, font) for all layers.]]></description>
        <about><![CDATA[Adjust the symbology of a map with a few clicks instead of altering every single symbol (and symbol layer) in a project with many layers, categories and label rules. With one click you can change the symbol or fonts on all layers (or all selected layers) consistantly, try out how different colors / stroke widths / fonts work for a project.
Allows to save and load styles of all layers – or even to apply styles to another project.
With one click, it allows to adjust color of all symbols (including color ramps and any number of symbol layers) and labels using the HSV color model: rotate hue (think of a color wheel), change saturation and value; change line thickness (i.e. stroke width of all symbols / symbol borders); change font size of all labels; replace a font family used in labels with another font family; save / load the styles of all layers at once into/from a given folder.
Since version 1.9, the same changes can be applied to print layouts (text labels, legend, scale bar, etc.).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/florianneukirchen/qgis_adjust_style]]></homepage>
        <file_name>qgis_adjust_style.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_J5YQXRE.png</icon>
        <author_name><![CDATA[Florian Neukirchen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_adjust_style/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[riannek]]></uploaded_by>
        <create_date>2023-05-11T07:26:47.900009+00:00</create_date>
        <update_date>2026-03-13T17:48:55.679546+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/florianneukirchen/qgis_adjust_style/issues]]></tracker>
        <repository><![CDATA[https://github.com/florianneukirchen/qgis_adjust_style]]></repository>
        <tags><![CDATA[vector,python,raster,point,polygon,style,line,labeling,layers,color,font]]></tags>
        <downloads>39288</downloads>
        <average_vote>4.563985538832338</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GISTDA sphere basemap" version="0.2" plugin_id="2953">
        <description><![CDATA[A plugin for adding base map layers from GISTDA sphere platform (https://sphere.gistda.or.th/).]]></description>
        <about><![CDATA[This plugin contains basemap layers from GISTDA sphere platform in order to make it easier for users to use our services. The layers consist of 1) sphere_streets layer 2) sphere_hybrid layer 3) thailand_images layer and 4) sphere_transparent layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sphere.gistda.or.th/]]></homepage>
        <file_name>gistda_sphere_basemap.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_zOAG4Cy.png</icon>
        <author_name><![CDATA[GISTDA sphere]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gistda_sphere_basemap/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[spheredev]]></uploaded_by>
        <create_date>2023-05-12T03:16:58.580574+00:00</create_date>
        <update_date>2023-05-19T07:36:43.029664+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.gistda.or.th/sphereplugin/spherebasemap]]></tracker>
        <repository><![CDATA[https://gitlab.gistda.or.th/sphereplugin/spherebasemap]]></repository>
        <tags><![CDATA[python,basemap,gistda]]></tags>
        <downloads>5130</downloads>
        <average_vote>3.499562554680665</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PixelCalculator" version="0.3.0" plugin_id="2954">
        <description><![CDATA[Interactively calculate the mean value of selected pixels of a raster layer.]]></description>
        <about><![CDATA[A QGis plugin to interactively calculate the mean value of selected pixels of a raster layer.

- Select a raster layer in the layer panel.
- Start a calculation using the menu Raster &gt; PixelCalculator &gt; Calculate pixel value.
- Draw a polygon on top of the raster layer.

- Your polygon will be aligned to the raster grid. All pixels overlapping at least 50 percent with your polygon will be included.
- The mean value of all matching pixels will be shown as its label.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DOV-Vlaanderen/qgis-pixel-calculator]]></homepage>
        <file_name>pixel_calculator.0.3.0.zip</file_name>
        <icon>/media/packages/2023/icon_HEm161R.png</icon>
        <author_name><![CDATA[Roel Huybrechts]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pixel_calculator/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[rulus]]></uploaded_by>
        <create_date>2023-05-12T13:16:50.140047+00:00</create_date>
        <update_date>2023-06-06T10:11:50.904977+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DOV-Vlaanderen/qgis-pixel-calculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/DOV-Vlaanderen/qgis-pixel-calculator]]></repository>
        <tags><![CDATA[python,raster]]></tags>
        <downloads>4353</downloads>
        <average_vote>2.599480103979204</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="StyleLoadSave" version="1.0" plugin_id="2955">
        <description><![CDATA[Load or Save active vector layer style]]></description>
        <about><![CDATA[Load or Save layer style of active vector layer, buttons in layer panel toolbar]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Korto19/Style-Load-or-Save]]></homepage>
        <file_name>StyleLoadSave.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_Dxx7JOH.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/StyleLoadSave/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2023-05-12T15:08:23.069659+00:00</create_date>
        <update_date>2023-05-12T15:08:23.471072+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Korto19/Style-Load-or-Save/issues]]></tracker>
        <repository><![CDATA[https://github.com/Korto19/Style-Load-or-Save]]></repository>
        <tags><![CDATA[vector,python,toolbar,layertoolbar]]></tags>
        <downloads>3515</downloads>
        <average_vote>4.789221619914741</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DBGI" version="0.5" plugin_id="2956">
        <description><![CDATA[Creates geopackages that match the requirements for the EMI project]]></description>
        <about><![CDATA[This plugin creates geopackages that match the requirements for the EMI project:
1. Creates collection layers
2. Updates deprecated collection layers
3. Creates observation layers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.dbgi.org/dendron-dbgi/notes/1u37mlza55e6dgksabcv7qn/]]></homepage>
        <file_name>gpkg_creator.0.5.zip</file_name>
        <icon>/media/packages/2024/icon_Ib6JXfz.png</icon>
        <author_name><![CDATA[Edouard Brülhart]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gpkg_creator/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[edouardbruelhart]]></uploaded_by>
        <create_date>2023-05-14T08:53:14.350601+00:00</create_date>
        <update_date>2024-12-20T09:58:16.816620+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/digital-botanical-gardens-initiative/gpkg_creator/issues]]></tracker>
        <repository><![CDATA[https://github.com/digital-botanical-gardens-initiative/gpkg_creator]]></repository>
        <tags><![CDATA[geopackage,gpkg,emi,dbgi]]></tags>
        <downloads>3910</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GISTDA sphere open data" version="0.3" plugin_id="2958">
        <description><![CDATA[A plugin for query and adding API data from GISTDA sphere platform (https://sphere.gistda.or.th/).]]></description>
        <about><![CDATA[This plugin contains data of crop information, crop suitability, disaster recurring, elevation, reverse geocoding and be more information in the future. The user can get data by input their study area which will minimize a data to fit your project. Enjoy to exploring and don&#x27;t forget to register for a key!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sphere.gistda.or.th/]]></homepage>
        <file_name>gistda_sphere_opendata.0.3.zip</file_name>
        <icon>/media/packages/2023/icon_DhOKX5g.png</icon>
        <author_name><![CDATA[GISTDA sphere]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gistda_sphere_opendata/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[spheredev]]></uploaded_by>
        <create_date>2023-05-16T07:12:24.267355+00:00</create_date>
        <update_date>2023-08-30T06:31:30.819768+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.gistda.or.th/sphereplugin/sphereopendata]]></tracker>
        <repository><![CDATA[https://gitlab.gistda.or.th/sphereplugin/sphereopendata]]></repository>
        <tags><![CDATA[vector,python,disaster,api,crop,gistda]]></tags>
        <downloads>2296</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Transparency Setter" version="0.2" plugin_id="2959">
        <description><![CDATA[Apply the specified transparency value to both vector and raster layers, as well as layers within the selected groups in the Layer Panel]]></description>
        <about><![CDATA[Apply the specified transparency value to both vector and raster layers, as well as layers within the selected groups in the Layer Panel]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/paolomartinis/transparency_setter]]></homepage>
        <file_name>transparency_setter.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_hJ17bk7.png</icon>
        <author_name><![CDATA[Idrostudi Srl]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/transparency_setter/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[pmartinis]]></uploaded_by>
        <create_date>2023-05-16T09:05:59.884250+00:00</create_date>
        <update_date>2023-05-23T06:09:59.871123+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/paolomartinis/transparency_setter/issues]]></tracker>
        <repository><![CDATA[https://github.com/paolomartinis/transparency_setter]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4287</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HOT Templates and Symbology Manager" version="1.0.2" plugin_id="2961">
        <description><![CDATA[QGIS plugin for managing HOT map templates and symbology]]></description>
        <about><![CDATA[Provides functionality to manage the HOT map templates and symbology.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hotosm/qgis-templates-and-symbology-plugin]]></homepage>
        <file_name>qgis_templates_symbology.1.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_KMfzjUx.png</icon>
        <author_name><![CDATA[Kartoza]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_templates_symbology/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[samtwesa]]></uploaded_by>
        <create_date>2023-05-17T11:24:06.120671+00:00</create_date>
        <update_date>2023-05-17T11:24:06.573475+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hotosm/qgis-templates-and-symbology-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hotosm/qgis-templates-and-symbology-plugin]]></repository>
        <tags><![CDATA[styles,maps,templates,symbology]]></tags>
        <downloads>4942</downloads>
        <average_vote>4.799040191961607</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="H-RISK with noisemodelling" version="0.6.3" plugin_id="2964">
        <description><![CDATA[Sound levels and Health risks of environmental noise]]></description>
        <about><![CDATA[This plugin helps in fetching geometries to calculate sound levels from environmental noise,
calculating the sound levels, and evaluating health risks.
For use, NoiseModelling (https://noise-planet.org/noisemodelling.html) must be prepared.
See README of the repository.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/jtagusari/hrisk-noisemodelling]]></homepage>
        <file_name>hrisk-noisemodelling-master.0.6.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Junta Tagusari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hrisk-noisemodelling-master/version/0.6.3/download/</download_url>
        <uploaded_by><![CDATA[jtagusari]]></uploaded_by>
        <create_date>2023-05-22T03:06:46.229889+00:00</create_date>
        <update_date>2026-01-28T01:12:26.731439+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/jtagusari/hrisk-noisemodelling]]></tracker>
        <repository><![CDATA[https://gitlab.com/jtagusari/hrisk-noisemodelling]]></repository>
        <tags><![CDATA[health risk,environmental noise]]></tags>
        <downloads>11577</downloads>
        <average_vote>4.428360554259321</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DiscordRPC Plugin for QGIS" version="5.1" plugin_id="2974">
        <description><![CDATA[QGIS plugin that enables displaying a Rich Presence in Discord]]></description>
        <about><![CDATA[QGIS plugin that enables displaying a Rich Presence in Discord.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Ahhj93/DiscordRPC-Plugin-for-QGIS]]></homepage>
        <file_name>DiscordRPC-Plugin-for-QGIS.5.1.zip</file_name>
        <icon>/media/packages/2024/icon_p0S7wbi.png</icon>
        <author_name><![CDATA[Ahhj93]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DiscordRPC-Plugin-for-QGIS/version/5.1/download/</download_url>
        <uploaded_by><![CDATA[ahhj]]></uploaded_by>
        <create_date>2023-05-29T09:04:59.853504+00:00</create_date>
        <update_date>2024-02-15T23:53:07.912343+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Ahhj93/DiscordRPC-Plugin-for-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Ahhj93/DiscordRPC-Plugin-for-QGIS]]></repository>
        <tags><![CDATA[python,qgis,discord]]></tags>
        <downloads>4962</downloads>
        <average_vote>4.807507403561401</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Triple2Layer" version="0.2.1" plugin_id="2975">
        <description><![CDATA[Import geographic data from SPARQL endpoints and data.world into QGIS vector layers.]]></description>
        <about><![CDATA[Triple2Layer bridges the gap between the Semantic Web and GIS by allowing users to execute SPARQL queries and import results as native QGIS layers (Points, Lines, Polygons) from WKT data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LambdaGeo/qgisparql-triple2layer]]></homepage>
        <file_name>qgisparql-triple2layer-main.0.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_F3NBF1O.png</icon>
        <author_name><![CDATA[Sérgio Costa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisparql-triple2layer-main/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[sergiocosta]]></uploaded_by>
        <create_date>2023-05-29T20:59:45.484265+00:00</create_date>
        <update_date>2026-03-02T18:56:09.303849+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LambdaGeo/qgisparql-triple2layer/issues]]></tracker>
        <repository><![CDATA[https://github.com/LambdaGeo/qgisparql-triple2layer.git]]></repository>
        <tags><![CDATA[wkt,database,sparql,linked data,rdf,semantic web,geosparql]]></tags>
        <downloads>772</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="3DCityDB Tools" version="0.8.14" plugin_id="2984">
        <description><![CDATA[Tools to visualize and manipulate CityGML 2.0 data stored in the 3D City Database 4.x]]></description>
        <about><![CDATA[This plugin connects to the 3D City Database (v. 4.x) for PostgreSQL/PostGIS. It consists of:

- The &quot;Layer Loader&quot;: it loads data as &quot;classical&quot; layers into QGIS. All CityGML LoDs are supported, as well as multiple citydb schemas and multiple database users. Feature attributes can be edited, changes are stored back directly into the database;

- The &quot;Bulk Deleter&quot;: it allows to clean up the database, or to delete selected feature types;

- The &quot;QGIS Package Administrator&quot;: it allows to install the server-side part of the plug-in and to manage database user privileges.

On the GitHub repository further resources are provided: the installation and user manual, as well as some test datasets can be downloaded.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tudelft3d/3DCityDB-Tools-for-QGIS]]></homepage>
        <file_name>citydb-tools.0.8.14.zip</file_name>
        <icon>/media/packages/2026/plugin_icon_GOg8GkV.png</icon>
        <author_name><![CDATA[Giorgio Agugiaro, Konstantinos Pantelios]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/citydb-tools/version/0.8.14/download/</download_url>
        <uploaded_by><![CDATA[gioagu]]></uploaded_by>
        <create_date>2023-06-02T08:09:57.639582+00:00</create_date>
        <update_date>2026-03-16T09:42:15.500053+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tudelft3d/3DCityDB-Tools-for-QGIS]]></tracker>
        <repository><![CDATA[https://github.com/tudelft3d/3DCityDB-Tools-for-QGIS]]></repository>
        <tags><![CDATA[postgis,postgresql,cityjson,3dcitydb,citygml]]></tags>
        <downloads>69225</downloads>
        <average_vote>4.73591023415483</average_vote>
        <rating_votes>231</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="XPlan-Umring" version="2.13.1" plugin_id="2987">
        <description><![CDATA[Create XPlanGML from polygon(s)]]></description>
        <about><![CDATA[This plugin adds a processing provider and algorithms to create XPlanGML from a polygon.
XPlanung is a German standard for spatial planning data, that&#x27;s why the plugin is only available in German language.

Dieses Plugin fügt einen Processing-Provider und diverse Algorithmen (Werkzeuge) hinzu, um XPlanGML für ein Umringszenario zu erzeugen.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.24.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kreis-viersen/xplan-umring/]]></homepage>
        <file_name>xplan-umring.2.13.1.zip</file_name>
        <icon>/media/packages/2026/xplan_umring_icon_m6v2WxL.png</icon>
        <author_name><![CDATA[Kreis Viersen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xplan-umring/version/2.13.1/download/</download_url>
        <uploaded_by><![CDATA[kreisviersen]]></uploaded_by>
        <create_date>2023-06-02T11:05:06.823975+00:00</create_date>
        <update_date>2026-03-03T10:13:06.695414+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kreis-viersen/xplan-umring/issues]]></tracker>
        <repository><![CDATA[https://github.com/kreis-viersen/xplan-umring/]]></repository>
        <tags><![CDATA[xplanung,bebauungsplan,bplan,xplan,landschaftsplan,lplan]]></tags>
        <downloads>14897</downloads>
        <average_vote>4.655011896141512</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="COA TPW Polygonizer" version="0.2" plugin_id="2988">
        <description><![CDATA[This plugin can be used to create polygons that track the shape of a line network, including the proper handling of intersections with common nodes of the line segments.]]></description>
        <about><![CDATA[The Vision Zero team of the City of Austin&#x27;s Transportation and Public works department uses polygons created from the street network to aggregate vehicle crashes to allow for comparisons of different parts of the City&#x27;s road network. This plugin is intended to facilitate the creation and maintenance of this geometry as the city&#x27;s expands its road network.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/frankhereford/qgis-polygonizer]]></homepage>
        <file_name>qgis-polygonizer.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_CILfuEY.png</icon>
        <author_name><![CDATA[DTS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-polygonizer/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[frankinaustin]]></uploaded_by>
        <create_date>2023-06-02T14:00:13.807465+00:00</create_date>
        <update_date>2023-09-20T16:42:19.664189+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/frankhereford/qgis-polygonizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/frankhereford/qgis-polygonizer]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4281</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LocationFinder" version="0.2.0" plugin_id="2989">
        <description><![CDATA[Allow QGIS to use LocationFinder (interactive geocoding)]]></description>
        <about><![CDATA[This QGIS Plugin allows interactive geocoding against a LocationFinder instance.
The user interface consists of a dockable window where you can type location names and see geocoded results.
It also includes a map tool for reverse geocoding: click map to find nearest location(s).
About LocationFinder, please see https://dirageosystems.ch]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dirageosystems/LocationFinder.QGIS]]></homepage>
        <file_name>location_finder.0.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_IYBWZWw.png</icon>
        <author_name><![CDATA[ujr for Dira GeoSystems]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/location_finder/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[ujr]]></uploaded_by>
        <create_date>2023-06-04T15:50:13.081440+00:00</create_date>
        <update_date>2025-04-15T07:01:54.841141+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dirageosystems/LocationFinder.QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/dirageosystems/LocationFinder.QGIS]]></repository>
        <tags><![CDATA[python,geocoding,geocode,geocoder,dira]]></tags>
        <downloads>9071</downloads>
        <average_vote>3.570918440222825</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Delete Duplicate Fields" version="1.0" plugin_id="2990">
        <description><![CDATA[Delete duplicate or redundant fields from a vector file]]></description>
        <about><![CDATA[A QGIS Plugin that deletes duplicate or redundant fields in a vector file. Requires the pandas library to function; unless deleted, this library is automatically installed with QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/blairscriven/QGIS_Delete_Fields]]></homepage>
        <file_name>Delete_Duplicates.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_GZj84pr.png</icon>
        <author_name><![CDATA[Blair William Gerald Scriven]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Delete_Duplicates/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[bwgscriven]]></uploaded_by>
        <create_date>2023-06-05T13:43:38.567772+00:00</create_date>
        <update_date>2023-06-05T13:43:38.688579+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/blairscriven/QGIS_Delete_Fields/issues]]></tracker>
        <repository><![CDATA[https://github.com/blairscriven/QGIS_Delete_Fields]]></repository>
        <tags><![CDATA[duplicate redundant delete fields]]></tags>
        <downloads>3876</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Identify Dangles" version="1.0.0" plugin_id="2993">
        <description><![CDATA[Identifies dangles in a viewport]]></description>
        <about><![CDATA[This plugin identifies dangles in a viewport]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_identify_dangles]]></homepage>
        <file_name>cigeoe_identify_dangles.1.0.0.zip</file_name>
        <icon>/media/packages/2023/icon_s3uLtgy.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_identify_dangles/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2023-06-07T12:01:14.815490+00:00</create_date>
        <update_date>2023-06-07T12:01:15.128857+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_identify_dangles/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_identify_dangles]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>2040</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PathoGAME" version="0.7" plugin_id="2995">
        <description><![CDATA[The goal is to find the location of the contamination as soon as possible.]]></description>
        <about><![CDATA[PathoGAME is an interactive QGIS plugin that turns the task of finding contaminants into an exciting game. Its main goal is to assist users in accurately identifying where contaminants are located. The game uses the benchmark water network `Anytown`. `ImportEpanetInpFiles` QGIS plugin was used to convert EPANET input files into shapefiles. In the first level, you have the assistance of 10 sensors (green color) that can detect the contamination (red color) within the water network. In the second level, the number of sensors is reduced to 5, and in the final level, you only have 3 sensors. Additionally, each level provides a heart help, which grants an extra sensor placed randomly. The contamination&#x27;s location is randomized. The user is presented with two options to select the correct contamination location at each level.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/KIOS-Research/PathoGAME]]></homepage>
        <file_name>PathoGAME.0.7.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Marios S. Kyriakou, Stelios G. Vrachimis, Demetrios G. Eliades, KIOS Research and Innovation Center of Excellence (KIOS CoE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PathoGAME/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
        <create_date>2023-06-08T10:14:13.454201+00:00</create_date>
        <update_date>2024-09-26T13:52:01.442363+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KIOS-Research/PathoGAME/issues]]></tracker>
        <repository><![CDATA[https://github.com/KIOS-Research/PathoGAME]]></repository>
        <tags><![CDATA[network,inp,epanet,pathocert,epyt,pathogame]]></tags>
        <downloads>4137</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Terraform" version="0.5" plugin_id="2996">
        <description><![CDATA[Implementation of popular topographic correction algorithms and various methods of their evaluation.]]></description>
        <about><![CDATA[This plugin contains implementation of 11 popular topographic correction algorithms: Cosine-T, Cosine-C, C-correction, SCS, SCS+C, Minnaert correction, Minnaert-SCS, Pixel-based Minnaert, VECA, Teillet regression and Pixel-based C correction. Besides it the plugin provides an ability to evaluate the results of the correction algorithms by several methods: correlation between luminance and image digital numbers, rose-diagrams analysis and multi-criteria statistical analysis. Also, the plugin is capable of ranking topographic correction algorithms according to their applicability to a particular image using multi-criteria score based on the statistical metrics. Terraform plugin has processing provider, so you can easily combine the algorithm described above with other processing algorithms.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tigrulya-exe/terraform]]></homepage>
        <file_name>Terraform.0.5.zip</file_name>
        <icon>/media/packages/2026/icon_y3pluXD.png</icon>
        <author_name><![CDATA[Tigran Manasyan, Nikolay Dobretsov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Terraform/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[vivacell]]></uploaded_by>
        <create_date>2023-06-12T17:36:25.558092+00:00</create_date>
        <update_date>2024-07-03T20:55:47.134969+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tigrulya-exe/terraform/issues]]></tracker>
        <repository><![CDATA[https://github.com/tigrulya-exe/terraform]]></repository>
        <tags><![CDATA[topography,processing,topographic correction,topographic correction evaluation]]></tags>
        <downloads>4037</downloads>
        <average_vote>4.618827674872625</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Map Segmenter" version="2.3.0" plugin_id="3005">
        <description><![CDATA[Algorithmically divides a satellite raster into a land coverage raster.]]></description>
        <about><![CDATA[The purpose of this plugin is to provide the user with the tools to segment parts of the map into different buckets. That is, trees vs asphalt roads vs buildings etc. More details along with installation instructions can be found on the github repository.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sirebellum/qgis-segmentation/blob/main/README.md]]></homepage>
        <file_name>segmenter.2.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_konxerC.png</icon>
        <author_name><![CDATA[Quant Civil]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/segmenter/version/2.3.0/download/</download_url>
        <uploaded_by><![CDATA[quantcivil]]></uploaded_by>
        <create_date>2023-06-16T05:54:20.498604+00:00</create_date>
        <update_date>2026-01-24T00:06:08.499447+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sirebellum/qgis-segmentation/issues]]></tracker>
        <repository><![CDATA[https://github.com/sirebellum/qgis-segmentation]]></repository>
        <tags><![CDATA[python,machine learning,land coverage,segmenting]]></tags>
        <downloads>14050</downloads>
        <average_vote>4.199790010499475</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Panorama Viewer" version="1.1" plugin_id="3006">
        <description><![CDATA[Plugin for QGIS to view 360-degrees panoramic photos]]></description>
        <about><![CDATA[Plugin that allows you to view panoramic photos in QGIS. Based on web view widget with Panellum JS library.
You need to have a layer with at least one string field that contain direct file or web link to panoramic shots.
Open plugin, select layer and field. Then manually select a feature with a link to panorama and press &quot;View panorama&quot;.
If you check &quot;Auto-update view&quot;, panorama will automatically loading when you select layer feature.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://pereverzev.info/?p=projects&amp;l=gb]]></homepage>
        <file_name>panorama_viewer.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_geVfD1w.png</icon>
        <author_name><![CDATA[Pavel Pereverzev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/panorama_viewer/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[kylsha]]></uploaded_by>
        <create_date>2023-06-16T07:25:07.699203+00:00</create_date>
        <update_date>2025-09-03T16:15:08.653252+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pavelpereverzev/panorama_viewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/pavelpereverzev/panorama_viewer]]></repository>
        <tags><![CDATA[panorama,360,panellum,photosphere]]></tags>
        <downloads>8263</downloads>
        <average_vote>4.352685136168461</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="feature_space" version="0.21" plugin_id="3007">
        <description><![CDATA[A plugin to plot feature space and export areas as raster or vector]]></description>
        <about><![CDATA[A plugin to plot feature space and export areas as raster or vector]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/farhang74/feature-space]]></homepage>
        <file_name>feature_space.0.21.zip</file_name>
        <icon>/media/packages/2023/icon_lnbpVUh.png</icon>
        <author_name><![CDATA[Farhang Zare]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/feature_space/version/0.21/download/</download_url>
        <uploaded_by><![CDATA[farhang74]]></uploaded_by>
        <create_date>2023-06-17T19:34:33.162336+00:00</create_date>
        <update_date>2023-06-26T11:52:34.684119+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/farhang74/feature-space/issues]]></tracker>
        <repository><![CDATA[https://github.com/farhang74/feature-space]]></repository>
        <tags><![CDATA[feature,density,plot,space,feature space]]></tags>
        <downloads>2196</downloads>
        <average_vote>1.7495626093476628</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QdrawEVT" version="2.60" plugin_id="3009">
        <description><![CDATA[Easily draw and select entities within the drawing footprint]]></description>
        <about><![CDATA[QdrawEVT allows you to draw points, lines and polygons directly on the map and perform selections of intersecting layers. A dedicated help is available from the plugin menu.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fthvd/qdrawEVT]]></homepage>
        <file_name>qdrawEVT.2.60.zip</file_name>
        <icon>/media/packages/2026/icon_0znRLmt.png</icon>
        <author_name><![CDATA[François Thévand]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qdrawEVT/version/2.60/download/</download_url>
        <uploaded_by><![CDATA[fthvd]]></uploaded_by>
        <create_date>2023-06-19T14:31:34.429933+00:00</create_date>
        <update_date>2026-03-03T15:52:38.449160+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fthvd/qdrawEVT/issues]]></tracker>
        <repository><![CDATA[https://github.com/fthvd/qdrawEVT]]></repository>
        <tags><![CDATA[vector,selection,tools,events,drawing]]></tags>
        <downloads>16242</downloads>
        <average_vote>2.785515320334262</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SiweiEarth" version="0.3" plugin_id="3011">
        <description><![CDATA[This plugin is used to load the daily new map provided by Siwei Earth.]]></description>
        <about><![CDATA[Images can be loaded based on the query of satellites, spatial extent, time and cloud cover. Also, users can load daily new maps based on polygon shapefile in custom query module.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GeospatialPython/Learn/issues]]></homepage>
        <file_name>Siwei_Earth.0.3.zip</file_name>
        <icon>/media/packages/2023/icon_ZkC4qZb.png</icon>
        <author_name><![CDATA[ChinaSiwei]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Siwei_Earth/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[tyz30]]></uploaded_by>
        <create_date>2023-06-20T06:40:43.984987+00:00</create_date>
        <update_date>2023-07-05T09:29:29.813303+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeospatialPython/Learn/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeospatialPython/Learn/]]></repository>
        <tags><![CDATA[python,wms,service,geojson,basemap,siweiearth]]></tags>
        <downloads>2718</downloads>
        <average_vote>3.332222592469177</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Jilin1Tiles" version="0.2.1" plugin_id="3012">
        <description><![CDATA[Jilin1Tiles]]></description>
        <about><![CDATA[吉林一号切片体验版插件]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Atumyugi/Jilin1TilesPlugins]]></homepage>
        <file_name>jilin1tiles.0.2.1.zip</file_name>
        <icon>/media/packages/2024/icon_xb3TiZf.png</icon>
        <author_name><![CDATA[yoyi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/jilin1tiles/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[yoyi]]></uploaded_by>
        <create_date>2023-06-20T07:33:43.905975+00:00</create_date>
        <update_date>2024-09-25T01:29:53.979283+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Atumyugi/Jilin1TilesPlugins]]></tracker>
        <repository><![CDATA[https://github.com/Atumyugi/Jilin1TilesPlugins]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4181</downloads>
        <average_vote>4.071137775873152</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Station Offset" version="1.1.4" plugin_id="3014">
        <description><![CDATA[This plugin computes the station and offset of points along polylines and exports those values to csv for other applications]]></description>
        <about><![CDATA[This plugin creates a .csv file containing the station and offset of all points in a point feature layer for each polyline in a polyline feature layer. This is useful to convert three-dimensional survey data to two dimensional survey data (station/offset).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.tailwaterlimited.com/stationOffset.html]]></homepage>
        <file_name>Station_Offset.1.1.4.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Tailwater Limited]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Station_Offset/version/1.1.4/download/</download_url>
        <uploaded_by><![CDATA[tailwater]]></uploaded_by>
        <create_date>2023-06-20T15:57:16.025457+00:00</create_date>
        <update_date>2026-01-12T22:56:37.541962+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/actaillacq/Station_Offset/issues]]></tracker>
        <repository><![CDATA[https://github.com/actaillacq/Station_Offset]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4966</downloads>
        <average_vote>4.461195292669795</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Add to Felt" version="3.1.6" plugin_id="3016">
        <description><![CDATA[Easily share QGIS maps with your team or with clients. From analysis to collaborative web map in 1 click.]]></description>
        <about><![CDATA[Felt is a cloud-based GIS platform that makes it easy to share your QGIS maps with your team and clients. Share with a single link or embed in other business intelligence tools like PowerBI and Tableau. Get started for free at Felt.com.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://felt.com/product]]></homepage>
        <file_name>felt.3.1.6.zip</file_name>
        <icon>/media/packages/2025/icon_qZXMkXb.svg</icon>
        <author_name><![CDATA[Felt]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/felt/version/3.1.6/download/</download_url>
        <uploaded_by><![CDATA[chrisloer]]></uploaded_by>
        <create_date>2023-06-21T02:50:49.449438+00:00</create_date>
        <update_date>2025-01-14T17:49:38.949210+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/felt/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/felt/qgis-plugin]]></repository>
        <tags><![CDATA[browser,cloud,capture,publication,webmapping,layers,leaflet,internet,data,catalog,maps,media,webgis,sharing,online,collaboration,publishing,realtime,comments,shared,public,powerbi]]></tags>
        <downloads>38909</downloads>
        <average_vote>4.338171497477978</average_vote>
        <rating_votes>68</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Infra-O plugin" version="0.1.1" plugin_id="3017">
        <description><![CDATA[Plugin for Finnish municipal asset management.]]></description>
        <about><![CDATA[A plugin for creating a database and QGIS project structure for Finnish municipal asset management. Imports and exports gml files in accordance to the Infra-O XML Schema (https://www.infra-o.fi/skeema/). For instructions on how to use, see homepage: (https://gispocoding.github.io/infraO-open/)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gispocoding.github.io/infraO-open/]]></homepage>
        <file_name>infrao.0.1.1.zip</file_name>
        <icon>/media/packages/2023/icon_niWPc66.png</icon>
        <author_name><![CDATA[Gispo Ltd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/infrao/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[gispo]]></uploaded_by>
        <create_date>2023-06-21T06:47:18.704123+00:00</create_date>
        <update_date>2023-06-22T11:25:05.576108+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GispoCoding/infrao-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GispoCoding/infrao-plugin]]></repository>
        <tags><![CDATA[infrao,infra-o]]></tags>
        <downloads>1635</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Eqip" version="0.2.9" plugin_id="3018">
        <description><![CDATA[QGIS Pip Management]]></description>
        <about><![CDATA[This tool provieds a way to manage python requirements using pip in the QGis python environment.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/automaps/eqip]]></homepage>
        <file_name>eqip.0.2.9.zip</file_name>
        <icon>/media/packages/2024/icon_FZYHJDt.png</icon>
        <author_name><![CDATA[Heider]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eqip/version/0.2.9/download/</download_url>
        <uploaded_by><![CDATA[heider]]></uploaded_by>
        <create_date>2023-06-21T09:02:15.703042+00:00</create_date>
        <update_date>2024-06-03T11:54:20.557357+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/automaps/eqip/issues]]></tracker>
        <repository><![CDATA[https://github.com/automaps/eqip]]></repository>
        <tags><![CDATA[python,live,geometry,debugging,inspection,collections,shapely]]></tags>
        <downloads>9716</downloads>
        <average_vote>4.4439506721475395</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FilePath" version="0.4" plugin_id="3021">
        <description><![CDATA[Copies the path of layer]]></description>
        <about><![CDATA[Copies path of the layer to clipboard. Opens file location of the layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enigmarosan/Qgis-Plugin/tree/main]]></homepage>
        <file_name>FilePath.0.4.zip</file_name>
        <icon>/media/packages/2026/icon_deSwskb.png</icon>
        <author_name><![CDATA[Rosan Pandey]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FilePath/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[enigmaroshan]]></uploaded_by>
        <create_date>2023-06-23T04:56:06.250441+00:00</create_date>
        <update_date>2026-04-09T23:15:25.666934+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enigmarosan/Qgis-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/enigmarosan/Qgis-Plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2172</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Gazetteer Creator" version="0.1.1" plugin_id="3023">
        <description><![CDATA[This plugin is for generate gazetteer pdf from layer vector data.]]></description>
        <about><![CDATA[This plugin is for generate gazetteer pdf from layer vector data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nna-ina/gazetteer_creator]]></homepage>
        <file_name>gazetteer_creator.0.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_81QvDrP.png</icon>
        <author_name><![CDATA[BIG - UNGEGN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gazetteer_creator/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[hanifarafah]]></uploaded_by>
        <create_date>2023-06-26T07:55:46.444237+00:00</create_date>
        <update_date>2024-04-25T02:42:11.057437+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nna-ina/gazetteer_creator/issues]]></tracker>
        <repository><![CDATA[https://github.com/nna-ina/gazetteer_creator]]></repository>
        <tags><![CDATA[python,pdf,gazetteer]]></tags>
        <downloads>2044</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="StreetSmart" version="v3.2.6.120" plugin_id="3024">
        <description><![CDATA[This plugin manages the Street Smart imagery]]></description>
        <about><![CDATA[This plugin manages the Street Smart imagery.
The plugin can add the Atlas Recording WFS to the current project.
And shows the Street Smart Panorama viewer in an external view.
The plguin uses the latest streetsmart API version 25.3
The plugin requires Cefpython3 for python39, this will be installed  automatically if not found.
If this is the  first time running the plugin please restart Qgis after the plugin has installed
For further details please visit http://www.merkator.com/streetsmart-plugin]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.42.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Samsonboadi/StreetSmart]]></homepage>
        <file_name>StreetSmart.v3.2.6.120.zip</file_name>
        <icon>/media/packages/2025/streetsmartedited_v2T6M3b.png</icon>
        <author_name><![CDATA[Merkator B.V.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/StreetSmart/version/v3.2.6.120/download/</download_url>
        <uploaded_by><![CDATA[samsonboadi]]></uploaded_by>
        <create_date>2023-06-26T14:59:44.167078+00:00</create_date>
        <update_date>2025-12-15T09:07:44.902723+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Samsonboadi/StreetSmart/issues]]></tracker>
        <repository><![CDATA[https://github.com/Samsonboadi/StreetSmart]]></repository>
        <tags><![CDATA[python,cyclorama,merkator,cyclomedia]]></tags>
        <downloads>22039</downloads>
        <average_vote>3.506992859255503</average_vote>
        <rating_votes>71</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Fast Density Analysis" version="2.0" plugin_id="3025">
        <description><![CDATA[A fast kernel density visualization plugin for geospatial analytics]]></description>
        <about><![CDATA[A Powerful QGIS plug-in for Large-scale Geospatial AnalyticsUnlock the power of large-scale geospatial analysis - with our QGIS plugin, quickly generate high-resolution kernel density visualizations, supporting advanced analysis tasks such as bandwidth-tuning and spatiotemporal analysis. No matter how large your dataset, our plugin delivers efficient and accurate results. Download now and start a new chapter in your geospatial analysis journey!Power by LibKDV - The fastest library in the world.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/libkdv/libkdv]]></homepage>
        <file_name>fast_kernel_density_analysis.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_VQNHVej.png</icon>
        <author_name><![CDATA[LibKDV Group]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fast_kernel_density_analysis/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[bojianzhu]]></uploaded_by>
        <create_date>2023-06-27T18:24:39.182002+00:00</create_date>
        <update_date>2025-12-13T17:47:08.186065+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/bojianzhu/qgis-fast-kernel-density-analysis/issues]]></tracker>
        <repository><![CDATA[http://github.com/bojianzhu/qgis-fast-kernel-density-analysis]]></repository>
        <tags><![CDATA[python,analysis,network analysis,network,kernel,density,heatmap,hotspot,geospatial analytics,spatiotemporal,kernel density,large-scale]]></tags>
        <downloads>21133</downloads>
        <average_vote>4.72176900925557</average_vote>
        <rating_votes>133</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Save All" version="1.0" plugin_id="3027">
        <description><![CDATA[File saving script that saves qgis project file and all vector and raster layers into user-specified folder. Automatically detects file type and saves as that file type (supports SHP, GPKG, KML, CSV, and TIF). All styles and formatting are saved with each layer (except for KML), ensuring that they are opened up with the proper style the next time the project is opened. Temporary layers are made permanent automatically.]]></description>
        <about><![CDATA[Save All is an improved save plugin because it also saves all temporary layers as permanent layers automatically. When the plugin is run, the user is prompted for a location where they would like to save a new folder. Then, another prompt asks the user what they would like to name the project and it&#x27;s container folder. Lastly, all vector and raster layers are saved into the folder, along with the QGIS project file itself. Each time the user uses this plugin, if they use the exact same folder name in the second prompt, the plugin will overwrite the previous save of the project in that folder.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CaptainDang/save_all]]></homepage>
        <file_name>SaveAllScript.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_rOn8udB.png</icon>
        <author_name><![CDATA[CaptainDang]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SaveAllScript/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[captaindang]]></uploaded_by>
        <create_date>2023-06-27T19:37:45.149419+00:00</create_date>
        <update_date>2023-07-20T16:59:55.647925+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CaptainDang/save_all/issues]]></tracker>
        <repository><![CDATA[https://github.com/CaptainDang/save_all]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>19313</downloads>
        <average_vote>4.413717004879226</average_vote>
        <rating_votes>58</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UA XML importer" version="0.5.3.3" plugin_id="3033">
        <description><![CDATA[Імпорт інформації з кадастрового обмінного файлу XML]]></description>
        <about><![CDATA[Плагін імпортує геометрії ділянок, обмежень, угідь, та територіальних зон з одного або декількох XML файлів, і вставляє їх в тимчсові шари, з додаванням атрибуту імені файлу з якого завантажилася геометрія, та деяких інших атрибутів об&#x27;єктів.
Майте на увазі - плагін не імпортує всю інформацію, що наявна в обмінному файлі.

Інформацію про виявлені помилки, та побажання щодо роботи плагіну пишіть в JD Help chat в Telegram: https://t.me/+eq7gtxjTXYBjZmUy.

Плагін розроблено в рамках проекту &quot;Відкриті інструменти просторового планування для України&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/brych92/UA_XML_Importer]]></homepage>
        <file_name>UA_XML_importer.0.5.3.3.zip</file_name>
        <icon>/media/packages/2024/icon_XMSlb7w.png</icon>
        <author_name><![CDATA[Стьопа]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/UA_XML_importer/version/0.5.3.3/download/</download_url>
        <uploaded_by><![CDATA[brych92]]></uploaded_by>
        <create_date>2023-07-05T16:48:47.472114+00:00</create_date>
        <update_date>2023-09-02T21:35:57.328997+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/brych92/UA_XML_Importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/brych92/UA_XML_Importer]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>6528</downloads>
        <average_vote>4.4997187675770265</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Circumvent Polygon" version="0.1" plugin_id="3035">
        <description><![CDATA[Changes the line to circumvent a polygon between the intersection points]]></description>
        <about><![CDATA[There are lines (eg, contour lines) of a layer that pass over areas / polygons (eg lakes) of another layer. This plugin removes the small areas intersected by the line and the area / polygon of another layer between the points of intersection]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_circumvent_polygon]]></homepage>
        <file_name>cigeoe_circumvent_polygon.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_cDnszEb.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_circumvent_polygon/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2023-07-06T10:45:02.602404+00:00</create_date>
        <update_date>2023-07-06T10:45:03.123598+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_circumvent_polygon/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_circumvent_polygon]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>1955</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LinearReferencing" version="2.1.0" plugin_id="3037">
        <description><![CDATA[Tools for linear referenced data]]></description>
        <about><![CDATA[Tools for linear referenced data:
- measure routes and points on linestring layers
- create tables for point- or route features or use existing ones
- insert or update features numerical and/or graphical
- create virtual layers to represent features on map]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Ludwig-K/QGisLinearReference/]]></homepage>
        <file_name>LinearReferencing.2.1.0.zip</file_name>
        <icon>/media/packages/2026/linear_referencing.svg</icon>
        <author_name><![CDATA[Ludwig Kniprath]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LinearReferencing/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[ludwigk]]></uploaded_by>
        <create_date>2023-07-08T16:33:19.724127+00:00</create_date>
        <update_date>2026-02-03T14:48:47.522684+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Ludwig-K/QGisLinearReference/issues]]></tracker>
        <repository><![CDATA[https://github.com/Ludwig-K/QGisLinearReference]]></repository>
        <tags><![CDATA[vector,python,dynamic segmentation,linear reference,linear referencing,lrs,event theme]]></tags>
        <downloads>8585</downloads>
        <average_vote>4.713949003642597</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VFK Plugin" version="3.1.3" plugin_id="3038">
        <description><![CDATA[Data českého katastru nemovitostí (VFK)&lt;br&gt;&lt;br&gt;Czech cadastre data (VFK)]]></description>
        <about><![CDATA[Zásuvný modul umožňující práci s daty českého katastru nemovitostí ve formátu VFK. Nástroj podporuje vyhledávání a dotazování parcel, budov, vlastníků a jednotek. Výsledky vyhledávání je následně možné exportovat či zobrazit v mapě.&lt;br&gt;&lt;br&gt;Plugin to work with Czech cadastre data in VFK format. The tool supports saerching and querying parcels, buildings, owners, and units. Results may be exported or visualized in map canvas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ctu-geoforall-lab.github.io/qgis-vfk-plugin/]]></homepage>
        <file_name>qgis-vfk-plugin.3.1.3.zip</file_name>
        <icon>/media/packages/2024/vfkPluginIcon_ylr8TKV.png</icon>
        <author_name><![CDATA[Anna Petrasova, Vaclav Petras, Stepan Bambula, Martin Landa (CTU GeoForAll Lab)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-vfk-plugin/version/3.1.3/download/</download_url>
        <uploaded_by><![CDATA[martinl]]></uploaded_by>
        <create_date>2023-07-10T16:52:30.334184+00:00</create_date>
        <update_date>2024-04-23T10:27:36.283267+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ctu-geoforall-lab/qgis-vfk-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ctu-geoforall-lab/qgis-vfk-plugin.git]]></repository>
        <tags><![CDATA[cadastre,cuzk,vfk,iskn]]></tags>
        <downloads>5066</downloads>
        <average_vote>2.9996250468691414</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Hub Plugin" version="0.5.0" plugin_id="3039">
        <description><![CDATA[A QGIS plugin to fetch resources from the QGIS Hub]]></description>
        <about><![CDATA[A QGIS plugin to fetch resources from the QGIS Hub]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis.github.io/QGIS-Hub-Plugin/]]></homepage>
        <file_name>qgis_hub_plugin.0.5.0.zip</file_name>
        <icon>/media/packages/2025/QGIS_Hub_icon_K8IU6el.svg</icon>
        <author_name><![CDATA[Ismail Sunni, Ronit Jadhav]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_hub_plugin/version/0.5.0/download/</download_url>
        <uploaded_by><![CDATA[ismailsunni]]></uploaded_by>
        <create_date>2023-07-13T01:59:57.975274+00:00</create_date>
        <update_date>2025-12-25T02:20:25.730487+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgis/QGIS-Hub-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgis/QGIS-Hub-Plugin]]></repository>
        <tags><![CDATA[python,map,project,layer,style,processing,hub,resource,3d model,processing model]]></tags>
        <downloads>25425</downloads>
        <average_vote>4.799862861061113</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Imagine Sustainability" version="1.0.1" plugin_id="3043">
        <description><![CDATA[sustainability assessment tool based on geographic MCDA algorithms. Especially suitable for Natura 2000 sites, based on pyrepo-mcda package(https://pyrepo-mcda.readthedocs.io/)]]></description>
        <about><![CDATA[ImagineSustainability is a QGIS plugin for sustainability assessment in geographic environment. The outputs of ImagineSustainability are both geographic and graphic.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gmassei/ImagineSustainability]]></homepage>
        <file_name>ImagineSustainability.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_GKrLDgr.png</icon>
        <author_name><![CDATA[University of Perugia (Developer: Gianluca Massei)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ImagineSustainability/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[gianluca]]></uploaded_by>
        <create_date>2023-07-16T14:57:57.375024+00:00</create_date>
        <update_date>2025-08-28T17:44:04.662164+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gmassei/ImagineSustainability/issues]]></tracker>
        <repository><![CDATA[https://github.com/gmassei/ImagineSustainability]]></repository>
        <tags><![CDATA[sustainability,geographic mcda,biodiversity,mcda,natura 2000,vector data]]></tags>
        <downloads>5199</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CSV Batch Import" version="0.3" plugin_id="3044">
        <description><![CDATA[Batch import of CSV vector layers]]></description>
        <about><![CDATA[Batch import of CSV vector layers. With a few clicks you can import a batch of CSV files by selecting their parent directory. The plugin will create layers groups/sub-group to match the CSV files hierarchy.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fajrtech/csv_batch_import]]></homepage>
        <file_name>csv_batch_import.0.3.zip</file_name>
        <icon>/media/packages/2023/icon_by0D8tk.png</icon>
        <author_name><![CDATA[Fajr.tech]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/csv_batch_import/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[fajrtech]]></uploaded_by>
        <create_date>2023-07-17T04:15:06.935824+00:00</create_date>
        <update_date>2023-08-03T16:39:10.429511+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fajrtech/csv_batch_import/issues]]></tracker>
        <repository><![CDATA[https://github.com/fajrtech/csv_batch_import]]></repository>
        <tags><![CDATA[python,csv,tsv]]></tags>
        <downloads>13569</downloads>
        <average_vote>3.8610038610038613</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SPAN" version="1.1" plugin_id="3048">
        <description><![CDATA[SPAN is a flexible and easy to use open-source plugin based on the QGIS software for rooftop mounted PV potential estimation capable of estimating every roof surface&#x27;s PV potential.]]></description>
        <about><![CDATA[DEPENDENCIES

Before installing the SPAN plugin, please open the OSGeo4W Shell program, which should already be installed on your computer along 	with QGIS, and install the necessary dependencies using the code block provided below:

&quot;pip install openpyxl pyqtgraph selenium open3d laspy&quot;

For more details please visit to https://doi.org/10.1016/j.renene.2023.119022]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://doi.org/10.1016/j.renene.2023.119022]]></homepage>
        <file_name>SPAN.1.1.zip</file_name>
        <icon>/media/packages/2023/icon_WhZrPxO.png</icon>
        <author_name><![CDATA[Ahmet Yavuzdogan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SPAN/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[ahmetyavuzd]]></uploaded_by>
        <create_date>2023-07-18T10:38:31.151690+00:00</create_date>
        <update_date>2023-07-26T10:30:03.794242+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ahmetyavuzd/SPAN/issues]]></tracker>
        <repository><![CDATA[https://github.com/ahmetyavuzd/SPAN]]></repository>
        <tags><![CDATA[point cloud,photovoltaic potential,building rooftops,geographic information systems,roof segments]]></tags>
        <downloads>2464</downloads>
        <average_vote>4.049797510124494</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IDG" version="1.0.0" plugin_id="3049">
        <description><![CDATA[Plugin providing easy access to data from different SDI]]></description>
        <about><![CDATA[Plugin providing easy access to data from different Spatial Data Infrastructures]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geo2france/idg-qgis-plugin]]></homepage>
        <file_name>idg.1.0.0.zip</file_name>
        <icon>/media/packages/2025/layers-svgrepo-com_hJVhnxZ.svg</icon>
        <author_name><![CDATA[Benjamin CHARTIER, Jean-Baptiste DESBAS, Julie PIERSON]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/idg/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[jbdesbas]]></uploaded_by>
        <create_date>2023-07-18T12:29:11.319580+00:00</create_date>
        <update_date>2025-06-12T13:18:53.474829+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geo2france/idg-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/geo2france/idg-qgis-plugin]]></repository>
        <tags><![CDATA[opendata,sdi,géobretagne,datagrandest,géoplateforme,crige,openig,géo2france]]></tags>
        <downloads>9522</downloads>
        <average_vote>4.624421947256593</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DAI" version="0.3" plugin_id="3058">
        <description><![CDATA[DAI (Daily Aerial Image)]]></description>
        <about><![CDATA[Satellite imagery and remote sensing data provide the physical characteristics of the Earth surface from the measures of the radiation reflectance of special cameras. Such a property allows the use of these information for environmental monitoring. However, one of the weaknesses of this appraisal is the spatial and temporal granularity of the information. While some satellite raster products have almost daily information but poor spatial resolution – e.g. Sentinel 3 provides Chl and TSM information at 300 m spatial resolution, or VIIRS and MODIS provides Chl at 750 m and 1000 m resolution, respectively –; aerial image is provided by Sentinel 2 at 10-60 m resolution, but with a temporal granularity of 5 days. Daily Aerial Image (DAI) interpolation method adapts the spatial Inverse Distance Weighting (IDW) method to temporal series for spatial interpolation of the RGB bands of two aerial images in order to obtain interpolated daily images between two dates.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/vielca/DAI]]></homepage>
        <file_name>DAI.0.3.zip</file_name>
        <icon>/media/packages/2024/icon_Evg8sU8.png</icon>
        <author_name><![CDATA[Vielca Ingenieros]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DAI/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[pablobla]]></uploaded_by>
        <create_date>2023-07-26T12:28:47.132505+00:00</create_date>
        <update_date>2024-12-05T11:11:34.745809+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vielca/DAI/issues]]></tracker>
        <repository><![CDATA[https://github.com/vielca/DAI]]></repository>
        <tags><![CDATA[python,interpolation,imagery]]></tags>
        <downloads>3754</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="USM toolset (Urban Sprawl Metric toolset)" version="1.2.1" plugin_id="3059">
        <description><![CDATA[The USM Toolset was developed to facilitate the calculation of Weighted Urban Proliferation (WUP) and all components of urban sprawl for landscapes that include built-up areas (e.g., dispersion (DIS), land uptake per person (LUP)).]]></description>
        <about><![CDATA[Weighted Urban Proliferation (WUP) has three components: PBA, DIS, and LUP (or UD). Proportion of built-up areas (PBA) is the ratio of the size of built-up areas to the size of the landscape (reporting unit): PBA = Area of built-up area / Area of reporting unit. Degree of urban dispersion (DIS) measures the dispersion of built-up areas based on the distances between any two points within the built-up areas. DIS is expressed in urban permeation units per square meter of built-up area (UPU/m^2). More dispersed built-up areas have higher DIS values. Land Uptake per person (LUP) is the area of land used per inhabitant or job within the built-up areas, expressed in square meters per inhabitant or job (m^2/(inh. or job)). High LUP values indicate more space used per inhabitant or workplace. LUP is the reciprocal of UD: LUP = 1/UD.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.4</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://giswiki.hsr.ch/USMToolset]]></homepage>
        <file_name>usm_calculator-main.1.2.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Joel Schwab, Ryan Horiguchi, Stefan F. Keller]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/usm_calculator-main/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[geometalab]]></uploaded_by>
        <create_date>2023-07-27T10:29:21.875686+00:00</create_date>
        <update_date>2026-03-07T11:19:18.074999+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/geometalab/usm_toolset/usm_calculator/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geometalab/usm_toolset/usm_calculator]]></repository>
        <tags><![CDATA[vector,raster,polygon,statistics,sustainability,processing,density,urban planning,urban permeation,urban sprawl,dispersion]]></tags>
        <downloads>4695</downloads>
        <average_vote>4.090537223888737</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Opacity Set" version="0.2" plugin_id="3060">
        <description><![CDATA[Sets opacity 0.5, 0.75 or 1 for selected raster layer.]]></description>
        <about><![CDATA[Simple plugin that sets opacity 0.5, 0.75 or 1 for selected raster layer. If no raster layer is selected, it will change opacity for all raster layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MSus4/qgis-plugin-opacity-set/]]></homepage>
        <file_name>opacity_set_01.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_kcv0joc.png</icon>
        <author_name><![CDATA[Matti Susi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/opacity_set_01/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[msus4]]></uploaded_by>
        <create_date>2023-07-27T12:05:20.408300+00:00</create_date>
        <update_date>2023-07-28T13:37:36.843057+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MSus4/qgis-plugin-opacity-set/issues]]></tracker>
        <repository><![CDATA[https://github.com/MSus4/qgis-plugin-opacity-set/]]></repository>
        <tags><![CDATA[transparency,opacity]]></tags>
        <downloads>3284</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BD TOPO® Extractor" version="2.0.2" plugin_id="3061">
        <description><![CDATA[This tool allows you to extract specific data from IGN&#x27;s BD TOPO®. The extraction is based on either an extent drawned by the user on the map canvas or a layer&#x27;s extent.]]></description>
        <about><![CDATA[It allows the user to extract elements from IGN&#x27;s BD TOPO® with an extent or inside a layer as reference.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://julesgrillot.frama.io/plugin_bd_topo_extractor/]]></homepage>
        <file_name>bd_topo_extractor.2.0.2.zip</file_name>
        <icon>/media/packages/2026/default_icon_ptrBNvT.png</icon>
        <author_name><![CDATA[Jules GRILLOT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bd_topo_extractor/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[jgrillot]]></uploaded_by>
        <create_date>2023-07-30T20:42:39.326584+00:00</create_date>
        <update_date>2026-02-03T20:14:08.102538+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://framagit.org/JulesGrillot/plugin_bd_topo_extractor/issues]]></tracker>
        <repository><![CDATA[https://framagit.org/JulesGrillot/plugin_bd_topo_extractor]]></repository>
        <tags><![CDATA[vector,export,wfs,france,ign,ign france,géoplateforme,bdtopo,geoplateforme]]></tags>
        <downloads>20691</downloads>
        <average_vote>4.478066171036041</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="JAPATI" version="2.0" plugin_id="3063">
        <description><![CDATA[The QGIS plugin is used by agencies in the West Java provincial government to upload data and create map services on the geoserver in order to publish data internally and publicly]]></description>
        <about><![CDATA[QGIS plugin for data upload and publish map service]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jabardigitalservice/qgis-plugin-upload-satupeta.git]]></homepage>
        <file_name>qgis-plugin-upload-satupeta-main.2.0.zip</file_name>
        <icon>/media/packages/2024/icon_GKYIPGj.png</icon>
        <author_name><![CDATA[Misdan Wijaya, Firman]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-plugin-upload-satupeta-main/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[jabardigitalservice]]></uploaded_by>
        <create_date>2023-08-01T04:54:16.447083+00:00</create_date>
        <update_date>2024-10-07T09:01:54.925191+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jabardigitalservice/qgis-plugin-upload-satupeta.git]]></tracker>
        <repository><![CDATA[https://github.com/jabardigitalservice/qgis-plugin-upload-satupeta.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2335</downloads>
        <average_vote>4.717288754592292</average_vote>
        <rating_votes>46</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Proxy Handler" version="0.2" plugin_id="3065">
        <description><![CDATA[Adds prefix proxy addresses to connections]]></description>
        <about><![CDATA[Adds prefix proxy addresses to connections, will only work with QGIS versions &gt;= 3.22]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bogind/prefix_proxy]]></homepage>
        <file_name>prefix_proxy.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_qn0YMJY.png</icon>
        <author_name><![CDATA[Dror Bogin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/prefix_proxy/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[bogind]]></uploaded_by>
        <create_date>2023-08-03T07:58:10.165850+00:00</create_date>
        <update_date>2023-10-13T22:35:50.006366+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bogind/prefix_proxy/issues]]></tracker>
        <repository><![CDATA[https://github.com/bogind/prefix_proxy]]></repository>
        <tags><![CDATA[python,proxy]]></tags>
        <downloads>2506</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LocationIQ Geocoding and Maps" version="3.0.6" plugin_id="3068">
        <description><![CDATA[LocationIQ integration to add geocoding and map tiles to QGIS]]></description>
        <about><![CDATA[locationiq geocoding]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/location-iq/locationiq-qgis]]></homepage>
        <file_name>locationiq-qgis.3.0.6.zip</file_name>
        <icon>/media/packages/2023/icon_m4rastn.png</icon>
        <author_name><![CDATA[C Hamilton;LocationIQ]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/locationiq-qgis/version/3.0.6/download/</download_url>
        <uploaded_by><![CDATA[findinggopi]]></uploaded_by>
        <create_date>2023-08-04T06:27:37.528466+00:00</create_date>
        <update_date>2023-08-04T06:27:39.398108+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/location-iq/locationiq-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/location-iq/locationiq-qgis]]></repository>
        <tags><![CDATA[geocoding,reverse geocoding,address search,locationiq]]></tags>
        <downloads>3934</downloads>
        <average_vote>3.332222592469177</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Radiation ToolBox Plugin" version="1.0.3" plugin_id="3069">
        <description><![CDATA[Plugin for loading data from Safecast and other radiation monitoring devices]]></description>
        <about><![CDATA[This plugin allows to easily load data from Safecast radiation monitoring devices (LOG file) like bGeigie Nano into QGIS as a new vector point layer. Experimental support for ERS 2.0 format (European Radiometric and Spectrometry format) and some types of PicoEnvirotec PEI files. Developed by OpenGeoLabs s.r.o for National Radiation Protection Institute (SURO), Prague, Czech Republic (SURO).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://opengeolabs.gitlab.io/radiation-toolbox/qgis-radiation-toolbox-plugin/]]></homepage>
        <file_name>radiation_toolbox_plugin.1.0.3.zip</file_name>
        <icon>/media/packages/2025/radiation_toolbox_icon_yXaXr18.png</icon>
        <author_name><![CDATA[OpenGeoLabs s.r.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/radiation_toolbox_plugin/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[martinl]]></uploaded_by>
        <create_date>2023-08-07T11:48:37.143212+00:00</create_date>
        <update_date>2025-07-13T09:45:32.331332+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/opengeolabs/radiation-toolbox/qgis-radiation-toolbox-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/opengeolabs/radiation-toolbox/qgis-radiation-toolbox-plugin]]></repository>
        <tags><![CDATA[vector,safecast,radioactivity,radiation,nuclear]]></tags>
        <downloads>3630</downloads>
        <average_vote>3.221864237306966</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GetBaseLine" version="1.0.2" plugin_id="3072">
        <description><![CDATA[GetBaseLine]]></description>
        <about><![CDATA[It combines parcels that have the same main address number of PNU. It dissolves the same main address number.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lxsurvey/GetBaseLine]]></homepage>
        <file_name>getbaseline.1.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_yyApiF7.png</icon>
        <author_name><![CDATA[LX]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/getbaseline/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[lxsurvey]]></uploaded_by>
        <create_date>2023-08-10T07:12:44.166367+00:00</create_date>
        <update_date>2023-09-14T01:49:11.877779+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lxsurvey/GetBaseLine]]></tracker>
        <repository><![CDATA[https://github.com/lxsurvey/GetBaseLine]]></repository>
        <tags><![CDATA[dissolve,union,lx,pnu,continuous cadastral map,sajeongline]]></tags>
        <downloads>7154</downloads>
        <average_vote>3.4991252186953257</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Plugin Exporter" version="0.2.2" plugin_id="3073">
        <description><![CDATA[A QGIS plugin for exporting plugins]]></description>
        <about><![CDATA[Plugin Exporter is a QGIS plugin that can export installed plugins into a .csv or .json file. The user can export all the installed plugins or select the plugins they want to export. Plugin Exporter can also use the generated file to install the plugins back in QGIS. Third party repositories are also supported as of v0.2.0.

I am not actively using the plugin, so if you encounter an issue, please report it using the tracker below!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Scriptbash/PluginExporter]]></homepage>
        <file_name>plugin_exporter.0.2.2.zip</file_name>
        <icon>/media/packages/2025/icon_BOc7qQ8.png</icon>
        <author_name><![CDATA[Francis Lapointe]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/plugin_exporter/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[scriptbash]]></uploaded_by>
        <create_date>2023-08-10T10:48:10.447383+00:00</create_date>
        <update_date>2025-10-01T19:49:11.506036+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Scriptbash/PluginExporter/issues]]></tracker>
        <repository><![CDATA[https://github.com/Scriptbash/PluginExporter]]></repository>
        <tags><![CDATA[python,plugin,qgis,backup,importer,exporter]]></tags>
        <downloads>8668</downloads>
        <average_vote>4.7997600119994</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Soar - the new atlas" version="1.0.2" plugin_id="3078">
        <description><![CDATA[Import or export maps via the Soar platform]]></description>
        <about><![CDATA[The Soar QGIS plugin allows users to collaborate in building the new atlas of the world by either uploading, or downloading maps via the Soar platform.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/north-road/soar_qgis_plugin]]></homepage>
        <file_name>soar.1.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_ycjri6Z.png</icon>
        <author_name><![CDATA[North Road]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/soar/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2023-08-24T23:50:40.493496+00:00</create_date>
        <update_date>2023-09-11T03:49:28.710412+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/north-road/soar_qgis_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/north-road/soar_qgis_plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4307</downloads>
        <average_vote>4.739905201895962</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GNAVS" version="1.0.13" plugin_id="3079">
        <description><![CDATA[GNSS Navigate and Save]]></description>
        <about><![CDATA[Dieses QGIS-Plugin ermöglicht das Anzeigen deiner aktuellen Position (mithilfe eines internen oder externen GPS-Gerätes) auf der Karte. Bei ausgewählten Zielpunkten wird die Entfernung in Kilometer, Meter und Zentimeter sowie Winkel in wahlweise Grad, Gon oder Radiant angezeigt. Die Luftlinie zwischen deiner aktuellen Position und dem Zielpunkt wird auf der Karte visualisiert. Ist die Zielposition erreicht, können Punkte &quot;eingemessen&quot; werden. Hierfür werden solange DAten erhoben, bis die gewünsche Qualität erreicht wird. In den Einstellungen des Plugins können Anforderungen an die Genauigkeit der Positionsbestimmung festgelegt werden. Bei erreichter Qualität können die Daten in einem GeoPackage gespeichert werden. Hierfür wird ein Layer angelegt. Die Daten können anschließend in QGIS oder anderen Anwendungen weiterverarbeitet werden.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/b-lack/qgis-gnavs-plugin]]></homepage>
        <file_name>gnavs.1.0.13.zip</file_name>
        <icon>/media/packages/2023/icon_ThrTV60.png</icon>
        <author_name><![CDATA[Torsten Wiebke (Concept), Gerrit Balindt (Development)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gnavs/version/1.0.13/download/</download_url>
        <uploaded_by><![CDATA[gruenecho]]></uploaded_by>
        <create_date>2023-08-25T14:44:58.490754+00:00</create_date>
        <update_date>2024-03-24T21:36:51.725948+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/b-lack/qgis-gnavs-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/b-lack/qgis-gnavs-plugin]]></repository>
        <tags><![CDATA[point,location,navigation,recording]]></tags>
        <downloads>7097</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cesium ion" version="v1.0.2" plugin_id="3083">
        <description><![CDATA[Browse and add datasets from Cesium ion]]></description>
        <about><![CDATA[Browse and add your assets from the Cesium ion platform.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.33.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/north-road/cesium-ion-plugin]]></homepage>
        <file_name>cesium_ion.v1.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_4uFhxOR.svg</icon>
        <author_name><![CDATA[North Road]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cesium_ion/version/v1.0.2/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2023-08-30T01:41:50.956957+00:00</create_date>
        <update_date>2024-03-05T23:14:06.673499+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/north-road/cesium-ion-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/north-road/cesium-ion-plugin]]></repository>
        <tags><![CDATA[tiles,3d,mesh,gltf,cesium,ion,scenes,b3dm,tiled]]></tags>
        <downloads>13937</downloads>
        <average_vote>4.374863285522328</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Selection as Filter" version="2.0" plugin_id="3084">
        <description><![CDATA[This plugin makes filter for the selected features]]></description>
        <about><![CDATA[This plugin will show only the selected feature using filter query. Menus are in the layer&#x27;s right click popup menus. The field selected and  its values for the selected features are used in query syntax. If you want to show only selected features, set a field with unique values. If the field has duplicate values (e.g parent field), some other features which are not selected will be in the filtered result.

MENUs:
Show selected features only - set filter for selected features
Hide selected features - set filter to hide selected features
Clear filter - remove the filter
Set field - to choose a field to use in the filter]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/knwin/SelectionFilter]]></homepage>
        <file_name>SelectionFilter.2.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Kyaw Naing Win]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SelectionFilter/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[knwin]]></uploaded_by>
        <create_date>2023-09-01T15:21:00.656284+00:00</create_date>
        <update_date>2026-03-12T06:32:00.933619+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/knwin/SelectionFilter/issues]]></tracker>
        <repository><![CDATA[https://github.com/knwin/SelectionFilter]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8991</downloads>
        <average_vote>4.72195989111716</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenHLZ" version="2.0.0" plugin_id="3086">
        <description><![CDATA[An open source HLZ identification processing plugin]]></description>
        <about><![CDATA[This plugin provides basic functionality to identify possible helicopter landing zones (HLZs).  Based on a point of interest (POI) or area of interest (AOI) defined by the user, this plugin will analyze slope and land cover data to determine possible locations to land a helicopter.  These sites are selected on land cover suitability and user-defined criteria, to include touchdown point (TDP) size and slope caution/limit thresholds (see README on GitHub for a more detailed explaination of methodology). A key feature of this tool is that it will automatically download the required data for analysis, so an internet connection is required to use it.

WARNING: The possible HLZ locations identified by this plugin are for research purposes only.  The results of this plugin have not been evaluated for accuracy and should not be relied upon as the sole means for determining where to land an aircraft.  It is ultimately the responsibility of the pilot-in-command to determine the suitability of any location prior to landing their aircraft.  The developer of this plugin is not liable for ANY damage to equipment, bodily injury, or loss of life associated with its use.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CustomCartographix/OpenHLZ]]></homepage>
        <file_name>openhlz.2.0.0.zip</file_name>
        <icon>/media/packages/2026/heli_icon.png</icon>
        <author_name><![CDATA[CustomCartographix]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/openhlz/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[jojohn246]]></uploaded_by>
        <create_date>2023-09-02T23:56:42.183524+00:00</create_date>
        <update_date>2026-02-07T19:23:06.060867+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CustomCartographix/OpenHLZ/issues]]></tracker>
        <repository><![CDATA[https://github.com/CustomCartographix/OpenHLZ]]></repository>
        <tags><![CDATA[python,dem,slope,land cover,elevation,processing,army,qgis,intelligence,military,aviation,helicopters,open-source,lulc,terrain analysis]]></tags>
        <downloads>1675</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Nimbo&#x27;s Earth Basemaps" version="1.4" plugin_id="3087">
        <description><![CDATA[Nimbo&#x27;s Earth Basemaps is an innovative Earth observation service providing cloud-free, homogenous mosaics of the world&#x27;s entire landmass as captured by satellite imagery. Updated every month.&lt;br&gt;&lt;br&gt;Along with this unprecedented refresh rate, Nimbo Earth Basemaps provides users with 4 data layers every month :&lt;br&gt;&lt;br&gt;- Natural colors (RGB)&lt;br&gt;- Infrared (NIR)&lt;br&gt;- NDVI (vegetation helath index)&lt;br&gt;- Radar (SAR, VV/VH combination)&lt;br&gt;&lt;br&gt;Maximum image resolution is 10m/px.&lt;br&gt;Images are served in WMS/WMTS format.&lt;br&gt;&lt;br&gt;Nimbo Earth Basemaps meets a variety of requirements for geospatial analysis professionals, including visualizations fit for machine learning algorithm implementation, monitoring tasks and training models based on time series.&lt;br&gt;&lt;br&gt;Nimbo Earth Basemaps&#x27; views consist of monthly syntheses using imagery from Sentinel 1 and 2 satellites from the European Copernicus programme.&lt;br&gt;&lt;br&gt;Nimbo is developed and published exclusively by Kermap:&lt;br&gt;&lt;a href=&quot;https://kermap.com&quot; &gt;https://kermap.com&lt;/a&gt;]]></description>
        <about><![CDATA[This plugins allows you to access all Nimbo earth tile map services. Use of this plugin requires the creation of a free Nimbo account at &lt;a href=&quot;https://maps.nimbo.earth&quot;&gt;https://maps.nimbo.earth.&lt;/a&gt;&lt;br&gt;&lt;br&gt;Users can then log directly into the Nimbo QGIS plugin with their ID/password, or QGIS or directly use the API key available in their Nimbo account at &lt;a href=&quot;https://maps.nimbo.earth/myNimbo/flux&quot;&gt;https://maps.nimbo.earth/myNimbo/flux&lt;/a&gt;&lt;br&gt;&lt;br&gt;All of Nimbo&#x27;s monthly layers - RGB, NDVI, Radar and Infrared - will then be available along the following timelines :&lt;br&gt;- From October 2019 to present : Europe, Northern Africa and Middle East&lt;br&gt;- From March 2022 to present : All of the above + the USA&lt;br&gt;- From February 2023 to present : Global coverage&lt;br&gt;&lt;br&gt;(Please note that radar layer does not provide extensive global coverage as of 2022, as one of Sentinel-1 constellation&#x27;s satellite went out of service by end-2021-early 2022)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nimbo.earth/]]></homepage>
        <file_name>assets.1.4.zip</file_name>
        <icon>/media/packages/2025/icon_5JvLmDp.png</icon>
        <author_name><![CDATA[Kermap]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/assets/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[kermapqgis]]></uploaded_by>
        <create_date>2023-09-04T14:12:30.873471+00:00</create_date>
        <update_date>2025-11-14T08:40:40.228330+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kermap-bzh/plugin-QGis-Nimbo-Earth/issues]]></tracker>
        <repository><![CDATA[https://github.com/kermap-bzh/plugin-QGis-Nimbo-Earth]]></repository>
        <tags><![CDATA[python,wms,land cover,geospatial,remote sensing,webservice,land cover change,sentinel,satellite,sentinel-1,basemap,agriculture,api,sentinel application platform,ndvi,radar,urban planning,climate,machine learning,environment,geoportal,wmts,satellite data,sentinel-2,earth observation,urban development,deep learning,satellite image,basemaps,cloud removal,environmental cartography,crop,copernicus,crops rotation,land use,crops,climate change,geospatial analytics,urban sprawl,nimbo earth,infrared,environmental assessment]]></tags>
        <downloads>29287</downloads>
        <average_vote>4.702220774040595</average_vote>
        <rating_votes>178</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Merge Lines" version="1" plugin_id="3088">
        <description><![CDATA[Merge 2 lines that overlap (connected in a vertex) and have same attribute names and values.]]></description>
        <about><![CDATA[When working on our data, there are many operations that prior require lines to be split. Later on, it is useful to have the lines merged again in a single feature. To avoid manual editing and shorten the time doing it, this plugin does it automatically by selecting two lines and pressing &quot;merge&quot; button.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/merge_lines]]></homepage>
        <file_name>cigeoe_merge_lines.1.zip</file_name>
        <icon>/media/packages/2023/icon_B47TwoI.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_merge_lines/version/1/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2023-09-05T14:09:34.804468+00:00</create_date>
        <update_date>2023-09-05T14:09:36.731602+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/merge_lines/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/merge_lines]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>5207</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Merge Multiple Lines" version="1.0" plugin_id="3089">
        <description><![CDATA[Merge multiple lines by coincident vertices and with the same attribute names and values.]]></description>
        <about><![CDATA[Merge multiple lines by coincident vertices and with the same attribute names and values.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_merge_multiple_lines]]></homepage>
        <file_name>cigeoe_merge_multiple_lines.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_R5u6YSI.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_merge_multiple_lines/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
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        <update_date>2023-09-05T14:33:36.590295+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_merge_multiple_lines/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_merge_multiple_lines]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Logiciel de photo-interprétation qui permet la visualisation d&#x27;images avec un système d&#x27;écran stéréoscopique - Photo-interpretation pluggin for stereoscopic visualization]]></description>
        <about><![CDATA[FR: Cette extension permet d&#x27;utiliser un dossier de photos aériennes (.TIF) pour les visualiser en stéréoscopie avec le système d&#x27;écran approprié. Le dossier doit aussi contenir les fichiers d&#x27;orientation (.PAR) associés à chaque photo. L&#x27;affichage et l&#x27;édition de différentes couches vectorielles sont disponibles dans l&#x27;application. Il est aussi possible d&#x27;ajouter un modèle numérique de terrain pour permettre aux couches vectorielles d&#x27;être positionnées correctement en stéréoscopie. L&#x27;application fonctionne sans carte graphique stéréoscopique.

EN : This extension allows the use of a folder of aerial photos (.TIF) for stereoscopic visualization using the appropriate display system. The folder must also contain the orientation files (.PAR) associated with each photo. The display and editing of various vector layers are available in the application. It is also possible to add a digital terrain model to allow the vector layers to be positioned correctly in stereoscopy. The application functions without a stereoscopic graphics card.]]></about>
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        <homepage><![CDATA[https://github.com/Direction-des-inventaires-forestiers/StereoPhoto]]></homepage>
        <file_name>StereoPhoto.0.2.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Frédérick Pineault]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/StereoPhoto/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[frpin33]]></uploaded_by>
        <create_date>2023-09-06T15:29:52.713516+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Direction-des-inventaires-forestiers/StereoPhoto/issues]]></tracker>
        <repository><![CDATA[https://github.com/Direction-des-inventaires-forestiers/StereoPhoto]]></repository>
        <tags><![CDATA[3d,photo-interpretation,stereoscopy,stereoimaging,aerial photography]]></tags>
        <downloads>4652</downloads>
        <average_vote>4.416298641779852</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Panoramax" version="0.4.0" plugin_id="3092">
        <description><![CDATA[Display your immersive views hosted on a Panoramax instance.]]></description>
        <about><![CDATA[Tools related to Panoramax project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://panoramax.gitlab.io/clients/qgis-plugin/]]></homepage>
        <file_name>panoramax.0.4.0.zip</file_name>
        <icon>/media/packages/2025/logo_panoramax_qgis_6iJ4Kg4.png</icon>
        <author_name><![CDATA[Julien Moura]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/panoramax/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[panoramax]]></uploaded_by>
        <create_date>2023-09-11T09:36:40.494197+00:00</create_date>
        <update_date>2025-10-28T22:05:47.767312+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/panoramax/clients/qgis-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/panoramax/clients/qgis-plugin/]]></repository>
        <tags><![CDATA[street view,mapillary,panoramax,geovisio,immersive]]></tags>
        <downloads>4045</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Japanese Grid Mesh" version="1.7.1" plugin_id="3095">
        <description><![CDATA[Create common grid squares used in Japan. 日本で使われている「標準地域メッシュ」および「国土基本図図郭」のポリゴンを作成できるほか、国勢調査や経済センサスなどの「地域メッシュ統計」のCSVファイルを読み込むこともできます。プロセッシングツールボックスから利用できます。また、地図キャンバス上のマウスカーソル位置の地域メッシュコードをリアルタイムに表示するパネルも搭載しています。]]></description>
        <about><![CDATA[Create common grid squares used in Japan. It supports the &quot;Grid Square Code&quot; (JIS X 0410) and &quot;Kokudo Kihonzu Zukaku&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MIERUNE/qgis-japan-mesh]]></homepage>
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        <icon>/media/packages/2025/icon_ZH8ooEu.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/japanese_grids/version/1.7.1/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
        <create_date>2023-09-11T16:42:20.701696+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/qgis-japan-mesh/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/qgis-japan-mesh]]></repository>
        <tags><![CDATA[python,processing]]></tags>
        <downloads>27312</downloads>
        <average_vote>4.725730230157578</average_vote>
        <rating_votes>62</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RST" version="1.5" plugin_id="3096">
        <description><![CDATA[This plugin computes biophysical indices]]></description>
        <about><![CDATA[Remote Sensing Toolkit Plugin is developed to facilitate computing biophysical indices, especially for multitemporal data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/RST-Plugin/RST]]></homepage>
        <file_name>remote_sensing_toolkit.1.5.zip</file_name>
        <icon>/media/packages/2025/icon_G8sM9Pk.png</icon>
        <author_name><![CDATA[Fatima Ezahrae Ezzaher; Nizar Ben Achhab; Hafssa Naciri; Naoufal Raissouni]]></author_name>
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        <uploaded_by><![CDATA[rstplugin]]></uploaded_by>
        <create_date>2023-09-12T13:33:14.122181+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/RST-Plugin/RST/issues]]></tracker>
        <repository><![CDATA[https://github.com/RST-Plugin/RST]]></repository>
        <tags><![CDATA[raster,landsat,statistics,remote sensing,mask,clip,sentinel,modis,aster,avhrr]]></tags>
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        <average_vote>4.737627252012262</average_vote>
        <rating_votes>61</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[Cette extension fournit plusieurs fonctions utiles à la gestion de la location des chasses communales pour la définition des lots de chasse. Extension spécialement destinée aux communes d&#x27;Alsace / Moselle (France).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://youtu.be/VTieWhijny0]]></homepage>
        <file_name>SgmHuntingLotsManager.1.0.0.zip</file_name>
        <icon>/media/packages/2023/sgm_hunting.png</icon>
        <author_name><![CDATA[SIGMOÉ - Etienne MORO]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SgmHuntingLotsManager/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[emsigmoe]]></uploaded_by>
        <create_date>2023-09-14T09:48:54.011480+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sigmoe/HuntingLotsManager/issues]]></tracker>
        <repository><![CDATA[https://github.com/sigmoe/HuntingLotsManager]]></repository>
        <tags><![CDATA[sigmoé,sigmoe,chasse,alsace,moselle]]></tags>
        <downloads>1418</downloads>
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        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PostGIS Toolbox" version="1.2" plugin_id="3099">
        <description><![CDATA[Plugin for QGIS implementing selected PostGIS functions]]></description>
        <about><![CDATA[The plugin implements:
• database and schema management mechanism,
• import of vector and raster data,
• extended query editor,
• several algorithms for vectors and rasters.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/eryk918/postgis_toolbox]]></homepage>
        <file_name>postgis_toolbox.1.2.zip</file_name>
        <icon>/media/packages/2024/main.png</icon>
        <author_name><![CDATA[Eryk Chełchowski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/postgis_toolbox/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[eryk91]]></uploaded_by>
        <create_date>2023-09-15T10:46:09.430637+00:00</create_date>
        <update_date>2024-07-12T20:40:42.007573+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eryk918/postgis_toolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/eryk918/postgis_toolbox]]></repository>
        <tags><![CDATA[raster,postgis,database,spatial,processing,postgres,postgresql,schema]]></tags>
        <downloads>19547</downloads>
        <average_vote>4.499678594386116</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LXExportDistrict" version="1.0.2" plugin_id="3100">
        <description><![CDATA[Export administrative district]]></description>
        <about><![CDATA[Export a layer by administrative district.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lxsurvey/LXExportDistrict]]></homepage>
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        <icon>/media/packages/2023/icon_6pRIa8U.png</icon>
        <author_name><![CDATA[LX]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LXExportDistrict/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[lxsurvey]]></uploaded_by>
        <create_date>2023-09-19T08:13:24.283742+00:00</create_date>
        <update_date>2023-09-26T06:52:56.605972+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lxsurvey/LXExportDistrict]]></tracker>
        <repository><![CDATA[https://github.com/lxsurvey/LXExportDistrict]]></repository>
        <tags><![CDATA[lx,pnu,administrative district]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Manage your FlexGIS data]]></description>
        <about><![CDATA[This plugin allows to export layers from QGIS to FlexGIS web platform for easier creating and sharing web maps with colleagues.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_MqCLx2I.png</icon>
        <author_name><![CDATA[FlexGIS]]></author_name>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/flexgis/flexgis_qgis]]></repository>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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Requires the Pyromb library to be installed to the QGIS environment, please refer to the homepage for instructions.

This plugin is now deprecated, please use &#x27;Runoff Model Builder&#x27;]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2023/icon_78JSzFI.png</icon>
        <author_name><![CDATA[Tom Norman]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/build_rorb/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[normantom]]></uploaded_by>
        <create_date>2023-09-20T23:51:37.175218+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>True</deprecated>
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        <downloads>4675</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[NetADS est un logiciel web destiné à l&#x27;instruction dématérialisée des dossiers d&#x27;urbanisme.]]></about>
        <trusted>True</trusted>
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        <homepage><![CDATA[https://docs.3liz.org/]]></homepage>
        <file_name>netads.1.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_69g4pSL.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/netads/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2023-09-21T08:57:16.507312+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/]]></tracker>
        <repository><![CDATA[https://github.com/]]></repository>
        <tags><![CDATA[lizmap,cadastre,foncier,france,urbanisme,ads]]></tags>
        <downloads>1982</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="digitizer" version="1.0.2" plugin_id="3104">
        <description><![CDATA[Digitizing old Plans]]></description>
        <about><![CDATA[This plugin was created to join the digitized detail and attribute information more advance plugins ae on the test]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wearemafaz/digitizer_plugin]]></homepage>
        <file_name>digitizer.1.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_9LLNFMU.png</icon>
        <author_name><![CDATA[M.F.M. Mafaz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/digitizer/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[mafaz]]></uploaded_by>
        <create_date>2023-09-21T14:41:34.275993+00:00</create_date>
        <update_date>2023-11-09T05:27:26.642712+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wearemafaz/digitizer_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/wearemafaz/digitizer_plugin]]></repository>
        <tags><![CDATA[python]]></tags>
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        <average_vote>3.8996100389961006</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QollabEO" version="0.1" plugin_id="3107">
        <description><![CDATA[Collaborative functions for interaction with remote users.]]></description>
        <about><![CDATA[With QollabEO you can schedule, start and join interactive sessions which allow interaction with other users connected remotely. ATTENTION: Before installing the plugin additional python packages are required.
Please visit https://github.com/smfloery/QollabEO for more information.]]></about>
        <trusted>False</trusted>
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        <about><![CDATA[Плагін для спрощення роботи з ресурсом Kadastr.Live в QGIS.

ЗВЕРНІТЬ УВАГУ!!! Ресурс Kadastr.Live поширює тільки архівні дані за почаок 2023р. Геометрія та положення ділянок приблизні, а атрибути можуть не співпадати з такими в ДЗК. Використовуйте інформацію тільки в ознайомчих цілях!

Плагін дозволяє:
- легко додавати основні шари з ресурсу Kadastr.Live в проект
- шукати ділянку на карті Kadastr.Live за кадастровим номером(також доступний пакетний пошук)
- завантажувати ділянки в межах екрану на тимчасовий шар
З додаткового:
- перегляд данних про ділянку на ресурсах Kadastr.Live та Land.gov.ua, а також перевірка площі ділянки за відомостями з ресурсу Kadastr.Live.

Плагін розроблено в рамках проекту &quot;Відкриті інструменти просторового планування для України&quot;.
Шукайте нас в JD Help чаті в Telegram: https://t.me/+eq7gtxjTXYBjZmUy]]></about>
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        <description><![CDATA[Este complemento fue diseñado para automatizar y optimizar la obtención de índices SAVI, NDVI y SIPI, así como la realización de correcciones atmosféricas en imágenes Landsat 8.]]></description>
        <about><![CDATA[Este innovador plugin diseñado para automatizar y optimizar la obtención de índices SAVI, NDVI y SIPI, así como la realización de correcciones atmosféricas en imágenes Landsat 8. Este complemento, conocido como &quot;EcoVisioL8&quot;, representa un avance significativo en el análisis y monitoreo de la vegetación, permitiendo a los investigadores y profesionales obtener información valiosa sobre la salud de la vegetación y el desarrollo de cultivos de manera más rápida y precisa. Con una interfaz amigable y basado en técnicas científicas de vanguardia, &quot;EcoVisioL8&quot; brinda la oportunidad de acceder a los índices SAVI, NDVI y SIPI con tan solo unos pocos clics. Estos índices son esenciales para evaluar el estado de la vegetación en diferentes aplicaciones agrícolas y medioambientales, lo que facilita la toma de decisiones informadas. Además, el plugin incorpora algoritmos para la corrección atmosférica específicamente adaptados a imágenes Landsat 8. Esta característica es fundamental para garantizar la precisión y confiabilidad de los análisis basados en datos satelitales, y &quot;EcoVisioL8&quot; automatiza este proceso, ahorrando tiempo y esfuerzo a los usuarios.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AlencarConicetUtem/EcoVisioL8]]></homepage>
        <file_name>eco_visiol8.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_nKGEzTM.png</icon>
        <author_name><![CDATA[Keyla Alencar da Silva, Francisca Ruiz-Tagle, Erik Zimmemann y Maria Carolina Parodi. CONICET, UTEM y UNR]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eco_visiol8/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[alencarconicetutem]]></uploaded_by>
        <create_date>2023-10-08T23:51:11.869612+00:00</create_date>
        <update_date>2024-02-17T03:09:08.135867+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AlencarConicetUtem/EcoVisioL8/issues]]></tracker>
        <repository><![CDATA[https://github.com/AlencarConicetUtem/EcoVisioL8]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2680</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="K-L8Slice" version="1.0" plugin_id="3126">
        <description><![CDATA[Este nombre combina el algoritmo k-means que se utiliza para el agrupamiento (K) con &quot;Landsat 8&quot;, que es el tipo específico de imágenes satelitales utilizadas, y &quot;Slicer&quot;, que hace referencia al proceso de segmentación o corte de la imagen en diferentes clusters o grupos de uso del suelo.]]></description>
        <about><![CDATA[El plugin desarrollado es una extensión basada en el algoritmo k-means, un método de agrupamiento ampliamente utilizado en análisis de datos. Este algoritmo se aplica para clasificar imágenes satelitales Landsat 8 con el propósito de realizar clasificaciones no supervisadas del uso del suelo. El algoritmo k-means se encarga de dividir el conjunto de datos, que en este caso son las imágenes satelitales, en k grupos o clusters. El objetivo es agrupar los datos de tal manera que los puntos dentro del mismo clúster sean más similares entre sí en términos de características relacionadas con el uso del suelo, mientras que los puntos en otros clusters presenten diferencias significativas. El proceso de agrupamiento se realiza mediante la asignación iterativa de cada punto de la imagen a un clúster, basándose en la similitud de sus atributos espectrales y espaciales. Esto permite obtener una segmentación en diferentes categorías de uso del suelo, como áreas urbanas, agrícolas, bosques, cuerpos de agua, entre otras. La utilización de este plugin proporciona una forma eficiente y automática de realizar clasificaciones no supervisadas del uso del suelo en imágenes satelitales Landsat 8, lo que facilita el análisis y la toma de decisiones en estudios de gestión del territorio, planificación urbana, monitoreo ambiental y otras aplicaciones relacionadas con el uso del suelo. El plugin K-L8Slice es una extensión diseñada para realizar clasificaciones no supervisadas del uso del suelo en imágenes satelitales Landsat 8. Utilizando el algoritmo k-means, este plugin se encarga de dividir el conjunto de datos de las imágenes en k grupos o clusters, donde los puntos dentro del mismo clúster presentan similitudes espectrales y espaciales relacionadas con su uso del suelo. K-L8Slice permite una segmentación eficiente de las imágenes, agrupando áreas urbanas, agrícolas, bosques, cuerpos de agua y otras categorías de uso del suelo. La clasificación no supervisada automatizada facilita el análisis y la toma de decisiones en estudios de gestión del territorio, planificación urbana, monitoreo ambiental y diversas aplicaciones que requieran información detallada sobre la distribución del uso del suelo en una región específica, aprovechando la información rica y precisa de las imágenes satelitales Landsat 8.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AlencarConicetUtem/K-L8Slice/issues]]></homepage>
        <file_name>k_l8slice.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_wQPzoXO.png</icon>
        <author_name><![CDATA[Keyla Alencar da Silva, Francisca Ruiz-Tagle, Erik Zimmemann y Maria Carolina Parodi. CONICET, UTEM y UNR]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/k_l8slice/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[alencarconicetutem]]></uploaded_by>
        <create_date>2023-10-08T23:53:57.209053+00:00</create_date>
        <update_date>2023-10-08T23:53:57.678362+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AlencarConicetUtem/K-L8Slice/issues]]></tracker>
        <repository><![CDATA[https://github.com/AlencarConicetUtem/K-L8Slice]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1966</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Moisture and Water Index 2.0" version="2.0" plugin_id="3127">
        <description><![CDATA[Este complemento calcula el índice NDWI con las imágenes del Landsat 8.]]></description>
        <about><![CDATA[Este complemento calcula el índice NDWI con las imágenes del Landsat 8, las cuales pueden ser ingresadas sin la corrección atmosférica (radiancia y reflectancia (TOA)), ya que la aplicación puede corregirlas, de lo contrario solo se realizará el cálculo del índice. Los métodos utilizados para el cálculo son Xu, Gao y McFeeters.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AlencarConicetUtem/Moisture_and_Water_Index_2.0]]></homepage>
        <file_name>indice_ndwi2.2.0.zip</file_name>
        <icon>/media/packages/2023/icon_3CH2fbK.png</icon>
        <author_name><![CDATA[Keyla Alencar da Silva, Francisca Ruiz-Tagle, Erik Zimmemann y Maria Carolina Parodi. CONICET, UTEM y UNR]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/indice_ndwi2/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[alencarconicetutem]]></uploaded_by>
        <create_date>2023-10-09T00:34:33.558938+00:00</create_date>
        <update_date>2023-10-09T00:34:35.236729+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AlencarConicetUtem/Moisture_and_Water_Index_2.0/issues]]></tracker>
        <repository><![CDATA[https://github.com/AlencarConicetUtem/Moisture_and_Water_Index_2.0]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1843</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bearing &amp; Distance" version="1.0" plugin_id="3128">
        <description><![CDATA[This plugin contains tools for the calculation of bearing and distances for both single and multiple parcels.]]></description>
        <about><![CDATA[This plugin is for the use of Surveyors, Cartographers, and G.I.S Analysts.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ymakarfi/BearingDistance]]></homepage>
        <file_name>bearing_distance.1.0.zip</file_name>
        <icon>/media/packages/2023/IconOnly_Transparent_NoBuffer.png</icon>
        <author_name><![CDATA[Yahaya Isah Makarfi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bearing_distance/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[ymakarfi]]></uploaded_by>
        <create_date>2023-10-09T03:26:07.834407+00:00</create_date>
        <update_date>2023-10-09T03:26:08.782297+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ymakarfi/BearingDistance/issues]]></tracker>
        <repository><![CDATA[https://github.com/ymakarfi/BearingDistance]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7836</downloads>
        <average_vote>4.529145344391506</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BorderFocus" version="1.0" plugin_id="3130">
        <description><![CDATA[clicks on the edge center them on the canvas]]></description>
        <about><![CDATA[BorderFocus es un complemento QGIS diseñado para mejorar significativamente la velocidad y la eficiencia en el dibujo y la navegación de mapas. Equipado con un borde ajustable y autocentrado, este complemento elimina la necesidad de reajustar manualmente la vista cada vez que se alcanza el borde del espacio de trabajo. Con un solo clic, los usuarios pueden centrar instantáneamente tanto el mapa como el cursor, lo que permite realizar dibujos y análisis continuos y fluidos. Es una herramienta indispensable para los cartógrafos y profesionales SIG que buscan optimizar su flujo de trabajo y mejorar la precisión en la visualización de mapas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://giseros.com/borderfocus-qgis/]]></homepage>
        <file_name>BorderFocus.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_8TSmoyv.png</icon>
        <author_name><![CDATA[Bernabe Hinojosa L.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BorderFocus/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[bernabehl]]></uploaded_by>
        <create_date>2023-10-09T18:21:08.899197+00:00</create_date>
        <update_date>2023-10-09T18:21:09.344290+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/webmasterbhl/borderfocus]]></tracker>
        <repository><![CDATA[https://github.com/webmasterbhl/borderfocus]]></repository>
        <tags><![CDATA[cad,digitizing,delimitation]]></tags>
        <downloads>1798</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geoportal Lokalizator" version="0.2" plugin_id="3131">
        <description><![CDATA[PL: Wtyczka otwiera rządowy geoportal w tej samej lokacji w której użytkownik ma otwarty canvas QGIS-a. EN: The plugin opens the government geoportal in the same location where the user has the QGIS canvas open (Poland only).]]></description>
        <about><![CDATA[Wtyczka otwiera geoportal w tej samej lokacji w której użytkownik ma otwarty canvas QGIS-a.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GrzWar/Geoportal_Lokalizator]]></homepage>
        <file_name>Geoportal_Lokalozator-main.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_rfP2D9K.png</icon>
        <author_name><![CDATA[Grzegorz Warszycki]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Geoportal_Lokalozator-main/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[opti33]]></uploaded_by>
        <create_date>2023-10-10T20:20:04.324384+00:00</create_date>
        <update_date>2023-10-10T20:20:04.627836+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GrzWar/Geoportal_Lokalizator/issues]]></tracker>
        <repository><![CDATA[https://github.com/GrzWar/Geoportal_Lokalozator]]></repository>
        <tags><![CDATA[python,geoportal]]></tags>
        <downloads>7166</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FLO-2D Rasterizor" version="0.3.2" plugin_id="3132">
        <description><![CDATA[A plugin to rasterize general FLO-2D output files.]]></description>
        <about><![CDATA[This plugin rasterizes generic FLO-2D output files with columns ge, x, y, and var, where ge is the grid element, x and y are coordinates, and var is the output data. It can be used on various output files such as depth, velocity, mudflow, and sediment transport. This plugin simplifies data mapping and captures data that Mapper and Mesh tools may miss.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FLO-2DKaren/FLO-2D-Rasterizor/wiki]]></homepage>
        <file_name>rasterizor.0.3.2.zip</file_name>
        <icon>/media/packages/2024/icon_QvS2qVE.png</icon>
        <author_name><![CDATA[Karen OBrien, Robson Leo Pachaly]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rasterizor/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[karenflo2d]]></uploaded_by>
        <create_date>2023-10-10T21:40:57.570552+00:00</create_date>
        <update_date>2024-09-16T14:58:24.982457+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FLO-2DKaren/FLO-2D-Rasterizor/issues]]></tracker>
        <repository><![CDATA[https://github.com/FLO-2DKaren/FLO-2D-Rasterizor]]></repository>
        <tags><![CDATA[python,rasterize,.out files,flo-2d output]]></tags>
        <downloads>6860</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PLATEAU QGIS Plugin" version="0.1.1" plugin_id="3133">
        <description><![CDATA[Import the PLATEAU 3D city model data (CityGML) used in Japan — PLATEAU 3D都市モデルのCityGMLファイルをQGISに読み込みます]]></description>
        <about><![CDATA[This plugin allows QGIS to import the PLATEAU 3D City Models (CityGML) used in Japan. PLATEAU 3D都市モデルのCityGMLファイルをQGISに読み込むことができます。プロセッシングツールボックスから呼び出して使用できます。
本プラグインは Project PLATEAU の参考資料として提供するものであり、動作の保証は行っておりません。また本プラグインの利用により生じた損失及び損害等について、国土交通省はいかなる責任も負わないものとします。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Project-PLATEAU/plateau-qgis-plugin]]></homepage>
        <file_name>plateau_plugin.0.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_SMB734j.png</icon>
        <author_name><![CDATA[MLIT Japan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/plateau_plugin/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
        <create_date>2023-10-11T11:38:14.971090+00:00</create_date>
        <update_date>2025-10-23T08:08:40.521891+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/plateau-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Project-PLATEAU/plateau-qgis-plugin]]></repository>
        <tags><![CDATA[python,processing,3d,japan,citygml,city]]></tags>
        <downloads>16085</downloads>
        <average_vote>4.3887669786950365</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Monitask" version="0.9.1" plugin_id="3134">
        <description><![CDATA[a SAM (facebook segment anything model and its decendants) based geographic information extraction tool just by interactive click on  remote sensing image, as well as an efficient geospatial labeling tool. While extracting geometries for geographic entities much more quickly, you can construct and optimize a land-cover classification system according to the nature characteristics of earth photo. 
To try it without difficult installation, please follow these links  to download the compressed package (QGIS3.30.2-simplified_Monitask0.91.7z) which contains a portable QGIS3.30 with Monitask fully equipped. Just unzip the package into any disk root, and click the QGIS_Monitask icon to run.
1. Google Drive : https://drive.google.com/file/d/1o52WTYhLzT5zuSH8WLd2EusYyFFBvlyF/view?usp=sharing
2. Baidu Drive: https://pan.baidu.com/s/177Y0KY0rqxATunR1CcFRmw?pwd=yiqc
&lt;img src=&quot;https://user-images.githubusercontent.com/12957225/276595781-ce241cf3-f096-4ff2-b61d-c2bf3ec1121d.gif&quot;&gt;]]></description>
        <about><![CDATA[1).Lightly click the mouse to automatically recognize the range of features. 
2). Multiple methods support flexible adjustment of automatic recognition results. 
3). Automatically create geometries and achieve post-processing such as simplification, smoothing, and orthogonizing that are suitable for the labeled class. 
4). Automatically edge with adjacent polygons. 
5). efficient labeling operation. 
6).  Automatic expansion of large parcels, collecting feature parcels like playing games. 
7).Automatically adapt to changes in image display scale, and can flexibly respond to both large and small features. 
8). Flexible labeling system establishment and maintenance operations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitee.com/grainseed/monitask]]></homepage>
        <file_name>monitask-master.0.9.1.zip</file_name>
        <icon>/media/packages/2023/icon_5YqOJFN.png</icon>
        <author_name><![CDATA[zhouxu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/monitask-master/version/0.9.1/download/</download_url>
        <uploaded_by><![CDATA[enri]]></uploaded_by>
        <create_date>2023-10-12T03:53:11.311257+00:00</create_date>
        <update_date>2023-10-13T01:50:44.169272+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/grainseed/monitask/issues]]></tracker>
        <repository><![CDATA[https://github.com/grainseed/monitask]]></repository>
        <tags><![CDATA[python,segment,sam]]></tags>
        <downloads>3129</downloads>
        <average_vote>3.999428653049564</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SAGis XPlanung" version="2.13.2" plugin_id="3135">
        <description><![CDATA[Plugin zur XPlanung-konformen Erfassung und Verwaltung von Bauleitplänen]]></description>
        <about><![CDATA[DE: SAGis XPlanung ermöglicht die digitale Erfassung von Planwerken der Bauleitplanung unter Verwendung des Standards XPlanung.

EN: The plugin supports creation of datasets for German land use planning standard XPlanung.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nti-de/SAGisXPlanung/]]></homepage>
        <file_name>SAGisXPlanung.2.13.2.zip</file_name>
        <icon>/media/packages/2026/sagis_icon_toGHg0X.png</icon>
        <author_name><![CDATA[NTI Deutschland GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SAGisXPlanung/version/2.13.2/download/</download_url>
        <uploaded_by><![CDATA[nti]]></uploaded_by>
        <create_date>2023-10-12T09:23:07.000721+00:00</create_date>
        <update_date>2026-04-09T12:51:33.806366+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nti-de/SAGisXPlanung/issues]]></tracker>
        <repository><![CDATA[https://github.com/nti-de/SAGisXPlanung/]]></repository>
        <tags><![CDATA[xplanung,bebauungsplan,bplan,fnp]]></tags>
        <downloads>9118</downloads>
        <average_vote>4.124935547882064</average_vote>
        <rating_votes>64</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AWD" version="0.2" plugin_id="3136">
        <description><![CDATA[Automatic waterfalls detector]]></description>
        <about><![CDATA[An automatic waterfalls detector. Important: The QuickOSM plugin must be installed too!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/guialexsdev/awd]]></homepage>
        <file_name>awd.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_DaSDRii.png</icon>
        <author_name><![CDATA[Guilherme Alexsander Pereira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/awd/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[guialexs]]></uploaded_by>
        <create_date>2023-10-12T19:15:38.460313+00:00</create_date>
        <update_date>2023-10-13T12:34:08.583262+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/guialexsdev/awd/issues]]></tracker>
        <repository><![CDATA[https://github.com/guialexsdev/awd]]></repository>
        <tags><![CDATA[water,fuzzy,detect,waterfall]]></tags>
        <downloads>2533</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Consolidate Networks" version="1.7" plugin_id="3137">
        <description><![CDATA[Consolidate Networks is a a Qgis plugin bringing together a set of tools to consolidate your network data.]]></description>
        <about><![CDATA[Fix bug, This plugin provides processing algorithms that allow you to manipulate the vertices of a line layer. You can repair topological issues and clean up your data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sducournau.github.io/consolidate_networks]]></homepage>
        <file_name>consolidate_networks.1.7.zip</file_name>
        <icon>/media/packages/2024/icon_BNI2cYP.png</icon>
        <author_name><![CDATA[imagodata]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/consolidate_networks/version/1.7/download/</download_url>
        <uploaded_by><![CDATA[imagodata]]></uploaded_by>
        <create_date>2023-10-13T12:54:30.752004+00:00</create_date>
        <update_date>2024-05-09T23:00:07.789260+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sducournau/consolidate_networks/issues]]></tracker>
        <repository><![CDATA[https://github.com/sducournau/consolidate_networks]]></repository>
        <tags><![CDATA[vector,python,consolidate,network,geometry,library,lines]]></tags>
        <downloads>6588</downloads>
        <average_vote>4.110654371736474</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TerrainZones" version="2.2" plugin_id="3138">
        <description><![CDATA[This Plugin Identifies &amp; Creates Sub-Irrigation Zones]]></description>
        <about><![CDATA[This Plugin Identifies &amp; Creates Sub-Irrigation Zones]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FVW-Services/TerrainZones/wiki]]></homepage>
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        <icon></icon>
        <author_name><![CDATA[Anamelechi FALASY &amp; Richard COOKE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/terrainzones/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[fvwservices]]></uploaded_by>
        <create_date>2023-10-16T02:32:41.458105+00:00</create_date>
        <update_date>2025-11-18T16:15:05.495957+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FVW-Services/TerrainZones/issues]]></tracker>
        <repository><![CDATA[https://github.com/FVW-Services/TerrainZones]]></repository>
        <tags><![CDATA[python,raster,terrain,hillshade,zones,basevalue]]></tags>
        <downloads>3783</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[The plugin to convert QGIS maps to import from Illustrator. With PlugX-QGIS, you can transfer maps designed in QGIS to Illustrator!]]></description>
        <about><![CDATA[Let&#x27;s transfer your maps to Illustrator!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_0gGqIk9.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-plugx-plugin/version/v0.3.3/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
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        <update_date>2025-10-23T08:09:22.933823+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/qgis-plugx-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/qgis-plugx-plugin]]></repository>
        <tags><![CDATA[map,style,illustrator]]></tags>
        <downloads>11248</downloads>
        <average_vote>3.6315311640636305</average_vote>
        <rating_votes>76</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Esse plugin salvar camada de pontos em arquivo TXT]]></description>
        <about><![CDATA[Esse plugin salvar camada de pontos em arquivo TXT]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TrindadeCompany/imprimir_alvara]]></homepage>
        <file_name>salvar_pontos_txt.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_JMvYHwB.png</icon>
        <author_name><![CDATA[Trindade Company]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/salvar_pontos_txt/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[trindadecompany]]></uploaded_by>
        <create_date>2023-10-24T00:15:24.634817+00:00</create_date>
        <update_date>2023-10-24T00:15:24.997893+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TrindadeCompany/imprimir_alvara]]></tracker>
        <repository><![CDATA[https://github.com/TrindadeCompany/imprimir_alvara]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1075</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Artificial Intelligence Forecasting Remote Sensing" version="1.0.1" plugin_id="3154">
        <description><![CDATA[This plugin allows time series forecasting using deep learning models.]]></description>
        <about><![CDATA[Artificial Intelligence forecasting Remote Sensing (AIRS) plugin is a free open-source plugin for QGIS that allows time series forecasting using deep learning models. The overall objective of AIRS is to simplify the complexities of data preparation, model training, and prediction, empowering you to leverage your data for accurate and insightful time series forecasts. The plugin allows users to preprocess data, build and train deep learning models, make predictions, and visualize results. This plugin requires the installation of Tensorflow. Before installing this plugin visit &quot;https://www.tensorflow.org/install/pip&quot; for step-by-step instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AIRS-Plugin/AIRS]]></homepage>
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        <icon>/media/packages/2025/icon_N4s5Ben.png</icon>
        <author_name><![CDATA[Hafssa Naciri; Nizar Ben Achhab; Fatima Ezahrae Ezzaher; Naoufal Raissouni]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/artificial_intelligence_forecasting_remote_sensing/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[airs]]></uploaded_by>
        <create_date>2023-10-24T13:34:55.559166+00:00</create_date>
        <update_date>2025-11-12T11:24:46.855845+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AIRS-Plugin/AIRS/issues]]></tracker>
        <repository><![CDATA[https://github.com/AIRS-Plugin/AIRS]]></repository>
        <tags><![CDATA[analysis,time series,remote sensing,deep learning,lstm model,forecasting]]></tags>
        <downloads>14712</downloads>
        <average_vote>4.29718115726602</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Image histogram matching process]]></description>
        <about><![CDATA[This is a plugin for performing histogram matching on satellite images.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Gustavoohs/HistMatch]]></homepage>
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        <icon>/media/packages/2024/icon_ygqE9vW.png</icon>
        <author_name><![CDATA[Gustavo Ferreira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/HistMatch-master/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[gustavoohs]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Gustavoohs/HistMatch]]></tracker>
        <repository><![CDATA[https://github.com/Gustavoohs/HistMatch]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>3660</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[This plugin import features from KML e KMZ files from Avenza Maps.]]></description>
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        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lakto69/avenza_kmz_importer]]></homepage>
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        <icon>/media/packages/2026/icon_WybGLl0.ico</icon>
        <author_name><![CDATA[Andrés de M. Leite]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/avenza_kmz_importer/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[lakto69]]></uploaded_by>
        <create_date>2023-10-28T15:07:06.052071+00:00</create_date>
        <update_date>2026-04-09T18:40:46.618146+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lakto69/avenza_kmz_importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/lakto69/avenza_kmz_importer]]></repository>
        <tags><![CDATA[python,point,kmz,kml,polygon,line,import,avenza]]></tags>
        <downloads>5198</downloads>
        <average_vote>3.749531308586427</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="D4C Plugin" version="1.6.0" plugin_id="3161">
        <description><![CDATA[Using Data4Citizen API to manipulate CKAN data]]></description>
        <about><![CDATA[Using D4C API to manipulate CKAN data]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.bpm-conseil.com/data4citizen/qgis-d4c]]></homepage>
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        <icon>/media/packages/2024/icon_nqNrlj9.png</icon>
        <author_name><![CDATA[MSE @ BPM-conseil]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/d4c_api/version/1.6.0/download/</download_url>
        <uploaded_by><![CDATA[patrickb]]></uploaded_by>
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        <update_date>2024-01-16T13:52:30.940558+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.bpm-conseil.com/data4citizen/qgis-d4c]]></tracker>
        <repository><![CDATA[https://gitlab.bpm-conseil.com/data4citizen/qgis-d4c]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4917</downloads>
        <average_vote>4.764425622022234</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[PyGeoRS is a dynamic QGIS plugin designed to streamline and enhance your remote sensing workflow within the QGIS environment.]]></description>
        <about><![CDATA[With PyGeoRS, users can effortlessly automate an array of remote sensing operations, both basic and advanced, without getting entangled in the intricacies of multiple software utilities]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnassMarzouki/PyGeoRS]]></homepage>
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        <icon>/media/packages/2024/icon_2IsNxHm.png</icon>
        <author_name><![CDATA[Dr. Anass MARZOUKI, Pr. Abdallah DRIDRI]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pygeors/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[anassmarzouki]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnassMarzouki/PyGeoRS/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnassMarzouki/PyGeoRS]]></repository>
        <tags><![CDATA[python,remote sensing,automation,digital image processing]]></tags>
        <downloads>4693</downloads>
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        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Nahlížení do KN" version="1.0" plugin_id="3163">
        <description><![CDATA[Unofficial integration for Nahlížení do Katastru nemovitostí.]]></description>
        <about><![CDATA[Requires lxml Python library.

See repository README for usage instructions (in Czech).]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://codeberg.org/dvdkon/qgis_ndkn]]></homepage>
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        <icon></icon>
        <author_name><![CDATA[David Koňařík]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_ndkn/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[dvdkon]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://codeberg.org/dvdkon/qgis_ndkn/issues]]></tracker>
        <repository><![CDATA[https://codeberg.org/dvdkon/qgis_ndkn]]></repository>
        <tags><![CDATA[]]></tags>
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        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Automatic update of the shapes length and/or area in the selected layer]]></description>
        <about><![CDATA[This plugin updates the shapes length and/or area in the selected layer. It&#x27;s useful after clipping a polygon for example, as the new shape area doesn&#x27;t automatically change. Make sure the attributes are &quot;Shape_Length&quot; for the length and &quot;Shape_Area&quot; for the area.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SylvainMilliot/Quick-shape-update]]></homepage>
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        <icon>/media/packages/2023/icon_lozVVLl.png</icon>
        <author_name><![CDATA[Sylvain Milliot]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick_shape_update/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[sylvainmilliot]]></uploaded_by>
        <create_date>2023-11-01T19:19:02.033977+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SylvainMilliot/Quick-shape-update/issues]]></tracker>
        <repository><![CDATA[https://github.com/SylvainMilliot/Quick-shape-update]]></repository>
        <tags><![CDATA[calculator,attribute edit,geometry]]></tags>
        <downloads>6296</downloads>
        <average_vote>4.082993083909674</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[A QGIS plugin for viewshed analysis in drone mission planning]]></description>
        <about><![CDATA[The purpose of this plugin is to provide the user with a comprehensive viewshed analysis to aid in drone mission planning. The user provides a DSM and a polygon of the desired area, as well as the target height, observer height and range, the plugin will then provide a visibility map. A comprehensive guide to the plugin is available in the Github repository. The plugin was developed as a collaborative project between the Technical University of Denmark (DTU) and the Mapping and GIS department at Niras.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/H-W-LANGE/view_drone]]></homepage>
        <file_name>view_drone.0.3.zip</file_name>
        <icon>/media/packages/2023/icon_z5QpSNr.png</icon>
        <author_name><![CDATA[Helena Walther Lange]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/view_drone/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[hwlange]]></uploaded_by>
        <create_date>2023-11-02T11:41:27.591456+00:00</create_date>
        <update_date>2023-11-20T09:57:59.297003+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/H-W-LANGE/view_drone/issues]]></tracker>
        <repository><![CDATA[https://github.com/H-W-LANGE/view_drone]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7076</downloads>
        <average_vote>4.332972252312308</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KICa - KAN Imagery Catalog" version="1.6.6" plugin_id="3174">
        <description><![CDATA[KICa, is QGIS plugin Kan Imagery Catalog, developed by Kan Territory &amp; IT
to consult availability of images in an area in an agnostic way,
having as main objective to solve the need and not to focus on suppliers.
In the beginning, satellite imagery providers (free and commercial) are incorporated,
but it is planned to incorporate drone imagery among others.]]></description>
        <about><![CDATA[KICa - QGIS Kan Imagery Catalog Plugin, developed to query the availability of imagery
in an area in an agnostic way, focused on geospatial analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://kan-t-it.github.io/QGIS-KICa-Doc/]]></homepage>
        <file_name>kan_imagery_catalog.1.6.6.zip</file_name>
        <icon>/media/packages/2025/icon_otnoNM3.png</icon>
        <author_name><![CDATA[KAN Territory &amp; IT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kan_imagery_catalog/version/1.6.6/download/</download_url>
        <uploaded_by><![CDATA[aanthieni]]></uploaded_by>
        <create_date>2023-11-02T20:23:02.396888+00:00</create_date>
        <update_date>2025-07-18T20:13:46.583123+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kan-T-IT/QGIS-KICa/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kan-T-IT/QGIS-KICa/]]></repository>
        <tags><![CDATA[raster,landsat,image,sentinel,spot,satellite imagery,remote sensor,up42]]></tags>
        <downloads>7105</downloads>
        <average_vote>4.332972252312308</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Fotowoltaika LP" version="1.1.2" plugin_id="3175">
        <description><![CDATA[Wyznaczanie lokalizacji pod farmy fotowoltaiczne LP]]></description>
        <about><![CDATA[Wtyczka pozwoli na wyznaczenie odpowiednich terenów będących w zarządzie PGL LP pod farmy fotowoltaiczne]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://envirosolutions.pl/wtyczki-qgis/fotowoltaika-lp/]]></homepage>
        <file_name>pv_las.1.1.2.zip</file_name>
        <icon>/media/packages/2026/fotowoltaika_3gKw1VA.svg</icon>
        <author_name><![CDATA[EnviroSolutions Sp. z o.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pv_las/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[envirosolutions]]></uploaded_by>
        <create_date>2023-11-03T12:38:58.413461+00:00</create_date>
        <update_date>2026-04-16T08:11:41.173302+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/envirosolutionspl/pv_las/issues]]></tracker>
        <repository><![CDATA[https://github.com/envirosolutionspl/pv_las]]></repository>
        <tags><![CDATA[python,envirosolutions,lasy państwowe,fotowoltaika]]></tags>
        <downloads>4786</downloads>
        <average_vote>3.9998260945176294</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TENGUNGUN" version="0.2.1" plugin_id="3180">
        <description><![CDATA[To list up and download point cloud data such as &quot;VIRTUAL SHIZUOKA&quot;]]></description>
        <about><![CDATA[Grid of point cloud data are shown and the data can be downloaded.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/jtagusari/tengungun]]></homepage>
        <file_name>tengungun-master.0.2.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Junta Tagusari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tengungun-master/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[jtagusari]]></uploaded_by>
        <create_date>2023-11-07T06:26:55.402415+00:00</create_date>
        <update_date>2025-05-04T07:58:44.323427+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/jtagusari/tengungun]]></tracker>
        <repository><![CDATA[https://gitlab.com/jtagusari/tengungun]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1487</downloads>
        <average_vote>3.9986671109630123</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GisCarta" version="1.4" plugin_id="3181">
        <description><![CDATA[Manage your GISCARTA data]]></description>
        <about><![CDATA[This plugin allows to import layers from GISCARTA to QGIS and export layers from QGIS to GISCARTA web platform for easier creating and sharing web maps with colleagues.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/giscarta/giscarta-qgis]]></homepage>
        <file_name>giscarta.1.4.zip</file_name>
        <icon>/media/packages/2025/icon_g2Y1RHD.png</icon>
        <author_name><![CDATA[GISCARTA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/giscarta/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[giscarta]]></uploaded_by>
        <create_date>2023-11-07T08:16:03.062760+00:00</create_date>
        <update_date>2025-12-24T16:27:38.901917+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/giscarta/giscarta-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/giscarta/giscarta-qgis]]></repository>
        <tags><![CDATA[web,giscarta]]></tags>
        <downloads>3077</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Download raster GEE" version="0.2.1" plugin_id="3182">
        <description><![CDATA[download_raster_gee]]></description>
        <about><![CDATA[This QGIS plugin enables easy and efficient downloading of raster images from Google Earth Engine (GEE), simplifying the integration of global geospatial data into your QGIS projects.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/odd-industries/lemu-qgis-plugins]]></homepage>
        <file_name>download_raster.0.2.1.zip</file_name>
        <icon>/media/packages/2023/icon_UTXAVLx.png</icon>
        <author_name><![CDATA[aleksi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/download_raster/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[aleksilemu]]></uploaded_by>
        <create_date>2023-11-07T13:46:50.515505+00:00</create_date>
        <update_date>2023-11-28T19:21:03.066195+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/odd-industries/lemu-qgis-plugins]]></tracker>
        <repository><![CDATA[https://github.com/odd-industries/lemu-qgis-plugins]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>10709</downloads>
        <average_vote>3.7269339150986274</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FLO-2D MapCrafter" version="0.3.1" plugin_id="3183">
        <description><![CDATA[This plugin creates maps and plots from FLO-2D output files.

FLO-2D Plugins are now stored on the FLO-2D private repository.  Please connect the Plugin Manager to this URL via the Settings tab on Plugin Manager.
https://flo-2dsoftware.github.io/FLO-2D-Plugins/plugins.xml]]></description>
        <about><![CDATA[FLO-2D MapCrafter is a QGIS plugin designed to transform FLO-2D output files into comprehensive visualizations. It generates flood maps for single-phase simulations, sediment maps, mudflow maps, and two-phase simulation flood maps. Additionally, MapCrafter goes beyond by creating hazard maps, highlighting areas with elevated risks based on FLO-2D simulations, aiding in risk management. The plugin also streamlines the QGIS layout manager process by automatically generating templates for easy customization.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.flo-2d.com]]></homepage>
        <file_name>flo2d_mapcrafter.0.3.1.zip</file_name>
        <icon>/media/packages/2024/icon_U8GZMlr.png</icon>
        <author_name><![CDATA[FLO-2D Software, Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flo2d_mapcrafter/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[karenflo2d]]></uploaded_by>
        <create_date>2023-11-08T13:56:01.331500+00:00</create_date>
        <update_date>2024-10-15T15:41:01.437031+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/FLO-2DSoftware/FLO-2DMapCrafter/issues]]></tracker>
        <repository><![CDATA[https://github.com/FLO-2DSoftware/FLO-2DMapCrafter]]></repository>
        <tags><![CDATA[python,mapping,flo-2d,flow routing,storm drain plots]]></tags>
        <downloads>5380</downloads>
        <average_vote>4.582951420714941</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Drainage" version="0.2.1" plugin_id="3189">
        <description><![CDATA[the hydro DEM analysis with the TauDEM]]></description>
        <about><![CDATA[Drainage is a plugin for the hydro DEM analysis with the TauDEM. It can produce the No-sink-DEM, FD(Flow Direction , D8), FA(Flow Accumulation), Stream and watershed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.24.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/floodmodel/Plugin_repository_QGIS3.10]]></homepage>
        <file_name>drainage.0.2.1.zip</file_name>
        <icon>/media/packages/2025/icon_LCGrigN.png</icon>
        <author_name><![CDATA[KICT, Hermesys]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/drainage/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[sukmin28]]></uploaded_by>
        <create_date>2023-11-13T01:02:04.384955+00:00</create_date>
        <update_date>2025-12-30T05:23:02.886909+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/floodmodel/Plugin_repository_QGIS3.10/issues]]></tracker>
        <repository><![CDATA[https://github.com/floodmodel/Plugin_repository_QGIS3.10.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>17790</downloads>
        <average_vote>3.7574618950940883</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Merge Areas" version="1.0" plugin_id="3190">
        <description><![CDATA[Centro de Informação Geoespacial do Exército]]></description>
        <about><![CDATA[When acquiring features in the field, and after doing some updates and validations, there may exist areas of same type that overlap. To avoid manual editing and shorten the time doing it, this plugin does it automatically by selecting two areas/polygons and pressing &quot;merge&quot; button.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_merge_areas]]></homepage>
        <file_name>cigeoe_merge_areas.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_bTX7MbA.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_merge_areas/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2023-11-14T15:20:22.560780+00:00</create_date>
        <update_date>2023-11-14T15:20:22.725505+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_merge_areas/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_merge_areas]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>3318</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Toggle Label Visibility" version="0.1" plugin_id="3191">
        <description><![CDATA[Toggle label visibility]]></description>
        <about><![CDATA[Toggle label visibility]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_toggle_label_visibility]]></homepage>
        <file_name>cigeoe_toggle_label_visibility.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_rp6AoAc.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_toggle_label_visibility/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2023-11-14T15:48:27.457603+00:00</create_date>
        <update_date>2023-11-14T15:48:27.634221+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_toggle_label_visibility/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_toggle_label_visibility]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>2155</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QDuckDB" version="2.2.7" plugin_id="3192">
        <description><![CDATA[This plugin adds a new data provider that can read DuckDB databases and display their tables as a layer in QGIS.]]></description>
        <about><![CDATA[Plugin for using DuckDB databases in QGIS.&lt;br/&gt;
If you&#x27;re running on Windows, this plugin comes with the necessary version of
duckdb, so you don&#x27;t have to install by yourself. Two things you may know:
- it&#x27;s neither more nor less than the same version you could have installed with a &#x27;pip install&#x27; (but we know how complicated that is in the Python environment of QGIS on Windows)
- the library is installed in a subdirectory of the plugin, which means that it is only activated when the plugin itself is activated.
You can get &lt;a href=&quot;https://oslandia.gitlab.io/qgis/qduckdb/usage/installation.html#windows-embedded-package&quot;&gt;more information in the documentation&lt;/a&gt;.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.6</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/qduckdb]]></homepage>
        <file_name>qduckdb.2.2.7.zip</file_name>
        <icon>/media/packages/2026/logo_duckdb.png</icon>
        <author_name><![CDATA[Florent Fougeres (Oslandia), Jean Felder (Oslandia), Julien Moura (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qduckdb/version/2.2.7/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2023-11-17T14:58:56.356188+00:00</create_date>
        <update_date>2026-02-16T16:03:35.923390+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/qduckdb/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/qduckdb]]></repository>
        <tags><![CDATA[sql,database,duckdb,parquet,overture,insee-fr]]></tags>
        <downloads>31059</downloads>
        <average_vote>4.540417826545228</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Fast Grid Inspection (FGI)" version="4.0.2" plugin_id="3194">
        <description><![CDATA[This plugin aims to allow the generation and classification of samples from predefined regions.]]></description>
        <about><![CDATA[The QGIS Fast Grid Inspection plugin is a versatile tool designed to innovate the way users generate and classify samples. Originally developed to assist in the generation of samples for creating a comprehensive global map of pastures, its functionality extends far beyond just that.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lapig-ufg/qgis-fgi-plugin/wiki]]></homepage>
        <file_name>qgis-fgi-plugin.4.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_uldWCGb.png</icon>
        <author_name><![CDATA[Tharles de Sousa Andrade | LAPIG - UFG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-fgi-plugin/version/4.0.2/download/</download_url>
        <uploaded_by><![CDATA[tharlestsa]]></uploaded_by>
        <create_date>2023-11-21T05:26:58.729380+00:00</create_date>
        <update_date>2024-07-28T01:35:08.508685+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lapig-ufg/qgis-fgi-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lapig-ufg/qgis-fgi-plugin]]></repository>
        <tags><![CDATA[features,google,bing,grid,samples,pixels]]></tags>
        <downloads>5195</downloads>
        <average_vote>4.411505205576142</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QWC Tools" version="1.5.0" plugin_id="3195">
        <description><![CDATA[QGIS plug-in designed to publish and manage the publication of projects in a QGIS Web Client (QWC) instance. The plugin allows you to publish projects, delete projects and view the list of published projects.]]></description>
        <about><![CDATA[QGIS plugin for publishing and managing projects in a QGIS Web Client (QWC) instance.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.6</qgis_minimum_version>
        <qgis_maximum_version>4.10.15</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/qwc_tools_plugin_for_qgis_desktop]]></homepage>
        <file_name>qwc2_tools.1.5.0.zip</file_name>
        <icon>/media/packages/2026/default_icon_te60m35.png</icon>
        <author_name><![CDATA[Florent FOUGERES (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qwc2_tools/version/1.5.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2023-11-21T13:56:30.318943+00:00</create_date>
        <update_date>2026-04-10T14:14:46.672205+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/qwc_tools_plugin_for_qgis_desktop/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/qwc_tools_plugin_for_qgis_desktop]]></repository>
        <tags><![CDATA[webgis,publishing,qgis-web-client,qwc,web client,qgis web client,web mapping]]></tags>
        <downloads>13886</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FilterMate" version="4.6.6" plugin_id="3196">
        <description><![CDATA[🚀 The ultimate spatial filtering plugin! Explore, filter &amp; export vector data with lightning-fast performance on ANY data source.]]></description>
        <about><![CDATA[🎯 FilterMate 4.6.6 - Your Swiss Army Knife for Spatial Data!

Stop struggling with complex filters. FilterMate makes spatial queries intuitive, fast, and powerful.

🌟 WHY FILTERMATE?
━━━━━━━━━━━━━━━━━
✓ Works with EVERYTHING: PostgreSQL, Spatialite, GeoPackage, Shapefiles, WFS...
✓ Lightning fast: 2-8× faster with 4 performance optimizers + smart caching
✓ Intuitive: Filter by clicking, drawing, or selecting - no SQL needed!
✓ Professional: Undo/Redo, Favorites, Dark Mode, 34 languages

🔥 KILLER FEATURES:
━━━━━━━━━━━━━━━━━━
📍 Geometric filtering with buffer, intersection, containment...
🔍 Smart entity search across any layer type
⭐ Save &amp; share your favorite filter configurations with spatial context
📦 One-click export to GeoPackage with embedded QGIS project (preserves group structure, styles &amp; CRS)
🎨 Beautiful UI that adapts to your QGIS theme
⚡ Filter chaining with dynamic buffer expressions

💡 v4.6.6: Security fixes (XML parsing, temp file hardening)
💡 v4.6.5: Config tree restructure with live save, auto-migration, live language switching fixes
💡 v4.6.3: i18n expanded to 34 languages, live language switching fix (full UI retranslation)
💡 v4.6.2: Feature picker fixes (debounce, refresh, browser buttons), always-enabled identify/zoom

📖 Full docs: https://imagodata.github.io/filter_mate]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://imagodata.github.io/filter_mate/]]></homepage>
        <file_name>filter_mate.4.6.6.zip</file_name>
        <icon>/media/packages/2026/icon_OBtF22z.png</icon>
        <author_name><![CDATA[imagodata]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/filter_mate/version/4.6.6/download/</download_url>
        <uploaded_by><![CDATA[imagodata]]></uploaded_by>
        <create_date>2023-11-21T16:05:55.310429+00:00</create_date>
        <update_date>2026-04-08T08:34:43.217843+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/imagodata/filter_mate/issues]]></tracker>
        <repository><![CDATA[https://github.com/imagodata/filter_mate]]></repository>
        <tags><![CDATA[vector,python,postgis,spatialite,filter,search,export,layers,data,ogr,exploration,subset,geofilter]]></tags>
        <downloads>11557</downloads>
        <average_vote>3.6468443032762776</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UA CRS Magic" version="0.4.0" plugin_id="3197">
        <description><![CDATA[Підбір системи кординат для векторного шару]]></description>
        <about><![CDATA[Плагін підбирає систему координат при якій центр всіх об&#x27;єктів буди найближче до місця кліку.
Для того аби скористатися плагіном:
- Виберіть шари
- Натисніть іконку плагіну
- Натисніть на карті на приблизне місце розташування об&#x27;єктів(хоча б з точністю до області, але точніше - краще)
Плагін автоматично змінить системм кординат та виведе повідомлення про інші можливі СК

Плагін розроблено в рамках проекту &quot;Відкриті інструменти просторового планування для України&quot;.

Включені СК:
WGS 84
&#x27;EPSG:3857&#x27;, &#x27;EPSG:4326&#x27;,
&#x27;EPSG:5562&#x27;, &#x27;EPSG:5563&#x27;, &#x27;EPSG:5564&#x27;, &#x27;EPSG:5565&#x27;, &#x27;EPSG:5566&#x27;, &#x27;EPSG:5567&#x27;, &#x27;EPSG:5568&#x27;, &#x27;EPSG:5569&#x27;,
&#x27;EPSG:5576&#x27;, &#x27;EPSG:5577&#x27;, &#x27;EPSG:5578&#x27;, &#x27;EPSG:5579&#x27;, &#x27;EPSG:5580&#x27;, &#x27;EPSG:5581&#x27;, &#x27;EPSG:5582&#x27;, &#x27;EPSG:5583&#x27;,
&#x27;EPSG:6381&#x27;, &#x27;EPSG:6382&#x27;, &#x27;EPSG:6383&#x27;, &#x27;EPSG:6384&#x27;, &#x27;EPSG:6385&#x27;, &#x27;EPSG:6386&#x27;, &#x27;EPSG:6387&#x27;,
&#x27;EPSG:5558&#x27;,
&#x27;EPSG:5560&#x27;, &#x27;EPSG:5561&#x27;,
&#x27;EPSG:9821&#x27;, &#x27;EPSG:9831&#x27;, &#x27;EPSG:9832&#x27;, &#x27;EPSG:9833&#x27;, &#x27;EPSG:9834&#x27;,
&#x27;EPSG:9835&#x27;, &#x27;EPSG:9836&#x27;, &#x27;EPSG:9837&#x27;, &#x27;EPSG:9838&#x27;, &#x27;EPSG:9839&#x27;,
&#x27;EPSG:9840&#x27;, &#x27;EPSG:9841&#x27;, &#x27;EPSG:9842&#x27;, &#x27;EPSG:9843&#x27;, &#x27;EPSG:9851&#x27;,
&#x27;EPSG:9852&#x27;, &#x27;EPSG:9853&#x27;, &#x27;EPSG:9854&#x27;, &#x27;EPSG:9855&#x27;, &#x27;EPSG:9856&#x27;,
&#x27;EPSG:9857&#x27;, &#x27;EPSG:9858&#x27;, &#x27;EPSG:9859&#x27;, &#x27;EPSG:9860&#x27;, &#x27;EPSG:9861&#x27;,
&#x27;EPSG:9862&#x27;, &#x27;EPSG:9863&#x27;, &#x27;EPSG:9864&#x27;, &#x27;EPSG:9865&#x27;,
&#x27;EPSG:4284&#x27;, &#x27;EPSG:4179&#x27;, &#x27;EPSG:4178&#x27;,
&#x27;EPSG:7825&#x27;, &#x27;EPSG:7826&#x27;, &#x27;EPSG:7827&#x27;, &#x27;EPSG:7828&#x27;, &#x27;EPSG:7829&#x27;, &#x27;EPSG:7830&#x27;, &#x27;EPSG:7831&#x27;
Якщо ви бажаєте додати якусь СК шукайте нас в JD Help чаті в Telegram: https://t.me/+eq7gtxjTXYBjZmUy]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/brych92/UA_CRS_Magic]]></homepage>
        <file_name>UA_CRS_Magic.0.4.0.zip</file_name>
        <icon>/media/packages/2023/icon_NFARvkb.png</icon>
        <author_name><![CDATA[Стьопа]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/UA_CRS_Magic/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[brych92]]></uploaded_by>
        <create_date>2023-11-21T20:43:16.545569+00:00</create_date>
        <update_date>2023-12-12T20:49:59.465554+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/brych92/UA_CRS_Magic/issues]]></tracker>
        <repository><![CDATA[https://github.com/brych92/UA_CRS_Magic]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2525</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Puentes" version="1.1.0" plugin_id="3200">
        <description><![CDATA[Run external Python files inside QGIS.]]></description>
        <about><![CDATA[Simple plugin with utilities to test Python scripts from QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caprieldeluca/puentes]]></homepage>
        <file_name>puentes.1.1.0.zip</file_name>
        <icon>/media/packages/2024/run_CUHlUyT.png</icon>
        <author_name><![CDATA[Gabriel De Luca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/puentes/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[gabrieldeluca]]></uploaded_by>
        <create_date>2023-11-22T12:25:35.460756+00:00</create_date>
        <update_date>2024-01-13T22:24:57.920331+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caprieldeluca/puentes/issues]]></tracker>
        <repository><![CDATA[https://github.com/caprieldeluca/puentes]]></repository>
        <tags><![CDATA[python,script,utilities.]]></tags>
        <downloads>2283</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SOSIexpressions" version="1.11" plugin_id="3201">
        <description><![CDATA[Expressions related to SOSI-data]]></description>
        <about><![CDATA[This plugin contains utility expressions to work with data from the Norwegian SOSI format. The expressions will be listed under SOSI in the expression list in e.g. the field calculator.
&lt;h4&gt;rotation_from_vector(&quot;vectorfield&quot;)&lt;/h4&gt;From &quot;vectorfield&quot;, a field containing a vector as a space separated string of numbers, e.g. &quot;0 -1&quot; or &quot;0.2 0.8&quot;, a  rotation in degrees is calculated. This function can be used directly for calculating a rotation angle in the symbology window, in which case the symbol will be rotated the number of degrees clockwise so a stymbol initially pointing northwards is pointing in the same direction as the vector. If the symbol initially is not pointing northwards, the angular offset can be corrected, e.g.
&lt;i&gt;rotation_from_vector(&quot;vectorfield&quot;) + 90&lt;/i&gt;
for a symbol that is pointing westwards.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/SOSIexpression]]></homepage>
        <file_name>SOSIexpressions.1.11.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SOSIexpressions/version/1.11/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2023-11-22T18:16:16.845962+00:00</create_date>
        <update_date>2023-12-26T13:33:08.827123+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/SOSIexpression]]></tracker>
        <repository><![CDATA[https://github.com/sickel/SOSIexpression]]></repository>
        <tags><![CDATA[expressions,norway,norge,sosi]]></tags>
        <downloads>3948</downloads>
        <average_vote>4.2995700429957004</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PDD-QGis Tool" version="1.1.2" plugin_id="3204">
        <description><![CDATA[Tool to download and visualize datasets from Plataforma de Datos by Itrend.]]></description>
        <about><![CDATA[This plugin allows to connect to plataformadedatos.cl through credentials and private access keys for each registered user to download and visualize the different datasets with georeferenced information. This tool supports datasets referenced by points, lines, multilines, polygons, multipolygons, etc.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ItrendCL/pdd-qgis-plugin]]></homepage>
        <file_name>pdd-qgis-plugin.1.1.2.zip</file_name>
        <icon>/media/packages/2024/icon_X2Q89ty.png</icon>
        <author_name><![CDATA[Sebastián Castro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pdd-qgis-plugin/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[itrendcl]]></uploaded_by>
        <create_date>2023-11-28T14:34:02.699722+00:00</create_date>
        <update_date>2024-01-04T15:42:28.639920+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ItrendCL/pdd-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ItrendCL/pdd-qgis-plugin]]></repository>
        <tags><![CDATA[python,risk,visualization,hazard,datasets,chile,analitics]]></tags>
        <downloads>2979</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="R-ABLE plugin" version="1.0" plugin_id="3207">
        <description><![CDATA[R-ABLE plugin, developed within the EUHubs4Data project, providing access to the web services on agricultural land.]]></description>
        <about><![CDATA[R-ABLE plugin, developed within the EUHubs4Data project, providing access to the web services on agricultural land. The plugin provides access to the arable land data for the selected timeframe and area of interest and allows the generation of analytical reports on the location of arable land and its dynamics over time for the selected timeframe.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Przemek2829/r-able]]></homepage>
        <file_name>r_able.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_ZnYJpgA.png</icon>
        <author_name><![CDATA[The Wroclaw Institute of Spatial Information and Artificial Intelligence]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/r_able/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[przemek2829]]></uploaded_by>
        <create_date>2023-11-30T08:26:18.280432+00:00</create_date>
        <update_date>2023-11-30T08:26:18.551158+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Przemek2829/r-able/issues]]></tracker>
        <repository><![CDATA[https://github.com/Przemek2829/r-able]]></repository>
        <tags><![CDATA[python,food security,arable lands,agricultural lands,r-able]]></tags>
        <downloads>1176</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Style to text" version="0.1" plugin_id="3209">
        <description><![CDATA[Converts stylefiles to csv-files]]></description>
        <about><![CDATA[This plugin takes a QML-stylefile and exports a csv-file that can be imported in excel. The csv-file will contain information on the colorcodes making it easy to streamline figures made in QGIS and graphs made in excel.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mathiku/Stylefile-to-text]]></homepage>
        <file_name>style_to_excel.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_r0PJi1W.png</icon>
        <author_name><![CDATA[Mathias Kusk]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/style_to_excel/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mathiku]]></uploaded_by>
        <create_date>2023-12-04T19:46:42.011581+00:00</create_date>
        <update_date>2023-12-04T19:46:42.389049+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mathiku/Stylefile-to-text]]></tracker>
        <repository><![CDATA[https://github.com/mathiku/Stylefile-to-text]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2186</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickCopy" version="0.1" plugin_id="3210">
        <description><![CDATA[Click and Copy WKT.]]></description>
        <about><![CDATA[Click to select one feature and copy the wkt to paste-board automatically.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yuzisheng/quick-copy]]></homepage>
        <file_name>quick-copy.0.1.zip</file_name>
        <icon>/media/packages/2023/quick_copy_cursor.png</icon>
        <author_name><![CDATA[Zisheng Yu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick-copy/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[yuzisheng]]></uploaded_by>
        <create_date>2023-12-05T04:26:07.690673+00:00</create_date>
        <update_date>2023-12-05T04:26:08.035878+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yuzisheng/quick-copy/issues]]></tracker>
        <repository><![CDATA[https://github.com/yuzisheng/quick-copy]]></repository>
        <tags><![CDATA[wkt,python]]></tags>
        <downloads>3409</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LandXML to Mesh" version="0.2.0" plugin_id="3211">
        <description><![CDATA[Conversion of LandXML to Mesh and vice versa]]></description>
        <about><![CDATA[Conversion of LandXML to Mesh and vice versa]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lutraconsulting/qgis-landxml-mesh-plugin]]></homepage>
        <file_name>landxmlconvertor.0.2.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Lutra Consulting]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/landxmlconvertor/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[cahik]]></uploaded_by>
        <create_date>2023-12-06T09:05:03.295408+00:00</create_date>
        <update_date>2023-12-06T09:05:03.488578+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lutraconsulting/qgis-landxml-mesh-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lutraconsulting/qgis-landxml-mesh-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>4947</downloads>
        <average_vote>4.0881150554395465</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SAGis ALKIS Suche" version="1.0.2" plugin_id="3212">
        <description><![CDATA[Plugin zum Einbinden und Durchsuchen einer ALKIS-Datenbank]]></description>
        <about><![CDATA[DE: SAGis ALKIS Suche ermöglicht das Einbinden, Durchsuchen und Exportieren von ALKIS Flurstückdaten.
Unterstützt werden mit dem SAGis ALKIS Konverter erstellte Datenbanken (PostgreSQL/SQLite).

EN: SAGis ALKIS Search enables the integration, search and export of ALKIS parcel data.
Databases created with the SAGis ALKIS converter are supported (PostgreSQL/SQLite).

Funktionen:
- Einbinden der Datenbank
- Suche nach Straßennamen, Gebäuden und Flurstücken
- Anzeigen von Flurstückdaten
- Excel Export von Flurstückdaten
- Anzeigen eines Flurstücks in SAGis web

Voraussetzungen/Requirements:
- pandas (tested with version 2.0.2)
- xlsxwriter (tested with version 3.1.9)
- xsdata (tested with version 23.8)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nti-de/SAGisALKISSearch/]]></homepage>
        <file_name>SAGisALKISSearch.1.0.2.zip</file_name>
        <icon>/media/packages/2024/SAGis_Logo_Search.png</icon>
        <author_name><![CDATA[NTI Deutschland GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SAGisALKISSearch/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[nti]]></uploaded_by>
        <create_date>2023-12-06T13:58:00.877794+00:00</create_date>
        <update_date>2024-05-15T12:33:49.304152+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nti-de/SAGisALKISSearch/issues]]></tracker>
        <repository><![CDATA[https://github.com/nti-de/SAGisALKISSearch/]]></repository>
        <tags><![CDATA[python,germany,alkis]]></tags>
        <downloads>4799</downloads>
        <average_vote>3.499416763872688</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SAGis Excel Export" version="1.1.1" plugin_id="3213">
        <description><![CDATA[Plugin öffnet einen vereinfachten Excel-Export-Dialog]]></description>
        <about><![CDATA[DE: SAGis Excel Export bietet einen einfachen Dialog zum Exportieren von XLSX-Dateien. Attributfelder können basierend auf der Konfiguration des Attributformulars in den Layer-Eigenschaften ausgewählt werden.

EN: SAGis Excel Export offers a simple dialog for exporting XLSX files. Attribute fields are selectable based on the attributes form configuration in the layer properties.

Voraussetzungen/Requirements:
- openpyxl (tested with version 3.0.9)
- pandas (tested with version 2.0.2)
- xlsxwriter (tested with version 3.1.9)
- xsdata (tested with version 23.8)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.nti-group.com/de]]></homepage>
        <file_name>SAGisExcelExport.1.1.1.zip</file_name>
        <icon>/media/packages/2024/SAGis_Logo_Excel_Export_PjrlZ09.png</icon>
        <author_name><![CDATA[NTI Deutschland GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SAGisExcelExport/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[nti]]></uploaded_by>
        <create_date>2023-12-06T13:59:56.792982+00:00</create_date>
        <update_date>2024-05-15T12:38:16.589473+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nti-de/SAGisExcelExport/issues]]></tracker>
        <repository><![CDATA[https://github.com/nti-de/SAGisExcelExport/]]></repository>
        <tags><![CDATA[python,excel,export]]></tags>
        <downloads>4956</downloads>
        <average_vote>3.499416763872688</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QRiS" version="1.2.4" plugin_id="3215">
        <description><![CDATA[QGIS Riverscapes Studio (QRiS)]]></description>
        <about><![CDATA[QRiS is a QGIS plugin designed to support a framework for consistently authoring, analyzing, and presenting information related to riverscape health.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://riverscapes.github.io/QRiS/]]></homepage>
        <file_name>qris_deploy.1.2.4.zip</file_name>
        <icon>/media/packages/2025/QRiS_128.png</icon>
        <author_name><![CDATA[North Arrow Research]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qris_deploy/version/1.2.4/download/</download_url>
        <uploaded_by><![CDATA[riverscapes]]></uploaded_by>
        <create_date>2023-12-08T19:51:17.858234+00:00</create_date>
        <update_date>2026-03-26T21:59:12.893137+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Riverscapes/QRiS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Riverscapes/QRiS]]></repository>
        <tags><![CDATA[python,planning,riverscapes]]></tags>
        <downloads>23047</downloads>
        <average_vote>4.499550044995501</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mesh Flow" version="0.1.3" plugin_id="3216">
        <description><![CDATA[Tool to extract flow from hydraulic model results contained in a mesh layer.]]></description>
        <about><![CDATA[The user has to choose the velocity dataset group and the depth dataset group. Then when the user draw a line on the map canvas, the flow through the line is calculated to produce a hydrograph that can be view in a plot and exported (right click on the plot).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/vcloarec/meshflow]]></homepage>
        <file_name>meshflow.0.1.3.zip</file_name>
        <icon>/media/packages/2025/meshflow.svg</icon>
        <author_name><![CDATA[Vincent Cloarec]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/meshflow/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[vcloarec]]></uploaded_by>
        <create_date>2023-12-10T02:02:07.351778+00:00</create_date>
        <update_date>2025-09-03T19:32:37.094913+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vcloarec/meshflow/issues]]></tracker>
        <repository><![CDATA[https://github.com/vcloarec/meshflow]]></repository>
        <tags><![CDATA[analysis,flow,hydraulic,flood,hydraulic modelling,results viewer,mesh,river,channel]]></tags>
        <downloads>4454</downloads>
        <average_vote>4.221753138540162</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QMetadataLayerHISPANIA" version="1.2" plugin_id="3217">
        <description><![CDATA[Complemento para visualizar y agregar metadatos a las capas.]]></description>
        <about><![CDATA[QMetadaLayer HISPANIA es la versión en español del complemento que permite visualizar, agregar, modificar y manipular, así como cargar, guardar, abrir, editar desde y en un archivo los metadatos asociados a una capa en QGIS, tanto vectoriales como raster a través de una interfaz sencilla y dinámica que facilita la visualización de cualquier capa, así como añadir información de una manera más rápida y confiable bajo estándares internacionales (ISO, INSPIRE) ayudando a mantener la uniformidad de los datos. EL complemento, además cuenta con sugerencia en ítems claves, en algunos casos con información de países hispanoamericanos y España.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/asardelli/Manual_QMetadataLayerHISPANIA.git]]></homepage>
        <file_name>QMetadataLayerHISPANIA.1.2.zip</file_name>
        <icon>/media/packages/2024/icono_PP3q8MV.png</icon>
        <author_name><![CDATA[Aldo Sardelli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QMetadataLayerHISPANIA/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[asardelli]]></uploaded_by>
        <create_date>2023-12-11T19:34:49.994881+00:00</create_date>
        <update_date>2024-12-02T19:56:49.985952+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/asardelli/QMetadataLayerHISPANIA.git]]></tracker>
        <repository><![CDATA[https://github.com/asardelli/QMetadataLayerHISPANIA.git]]></repository>
        <tags><![CDATA[vector,python,raster,metadata,qgis,maps,qoiltools,oil&amp;gas]]></tags>
        <downloads>4417</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geohash Expressions Plugin" version="0.3.1" plugin_id="3218">
        <description><![CDATA[This plugin adds expression functions to work with geohash in the field calculator]]></description>
        <about><![CDATA[This plugin adds expression functions to work with geohash in the field calculator:

- geohash_from_geom | geohash -&gt; Calculate the GeoHash from a geometry
- geohash_yx -&gt; Calculate the GeoHash from y, x (latitude, longitude) coordinates.
- geom_from_geohash -&gt;Return a geometry from a GeoHash string. The geometry will be a polygon representing the GeoHash bounds.
- point_from_geohash -&gt; Return a point geometry from a GeoHash string. The point represents the center point of the GeoHash.
- geohash_neighbors -&gt; Return an array of all the neighbors from a GeoHash string
- geohash_neighbors_map -&gt; Return a map of all the neighbors from a GeoHash string
- geohash_(north|northeast|east|southeast|south|southwest|west|northwest) -&gt; Return the specified cardinal point neighbor of a geohash string.

If you want to support my work, you can donate to me : https://ko-fi.com/valentinbuira]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ValentinBuira/qgis-geohash-expressions-plugin]]></homepage>
        <file_name>geohash_expressions.0.3.1.zip</file_name>
        <icon>/media/packages/2025/icon_Jq4HkWp.png</icon>
        <author_name><![CDATA[Valentin Buira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geohash_expressions/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[valentinb]]></uploaded_by>
        <create_date>2023-12-12T17:36:35.532436+00:00</create_date>
        <update_date>2025-12-30T20:09:21.454611+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ValentinBuira/qgis-geohash-expressions-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ValentinBuira/qgis-geohash-expressions-plugin]]></repository>
        <tags><![CDATA[python,expression,geohash,field-calculator]]></tags>
        <downloads>2795</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Urbantracer" version="1.0" plugin_id="3219">
        <description><![CDATA[Urbantracer creates urbanized area polygon over a street map.]]></description>
        <about><![CDATA[UrbanTracer creates urbanized area polygon over a street map. Selection of resolution and area of intra-urban open spaces are available. Mandatory CRS in meters (Project Properties and Files). Polygon could be separated, to unify use a Qgis Tool &quot;Dissolve Tool&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/EuniceBB/Urbantracer]]></homepage>
        <file_name>urbantracer.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_vnokc8A.png</icon>
        <author_name><![CDATA[Eunice Barbosa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/urbantracer/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[eunicebb]]></uploaded_by>
        <create_date>2023-12-13T17:08:10.353569+00:00</create_date>
        <update_date>2023-12-13T17:08:11.001675+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EuniceBB/Urbantracer/issues]]></tracker>
        <repository><![CDATA[https://github.com/EuniceBB/Urbantracer]]></repository>
        <tags><![CDATA[python,brazil,urbanized area]]></tags>
        <downloads>2732</downloads>
        <average_vote>4.832527912014664</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Swedigarch Geotools" version="1.5.1" plugin_id="3220">
        <description><![CDATA[Swedigarch Geotools]]></description>
        <about><![CDATA[Export Intrasis databases to GeoPackages and work with the exported GeoPackages]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/swedigarch/QGIS-plugin/wiki/Swedigarch-QGIS-plugin]]></homepage>
        <file_name>swedigarch_plugin.1.5.1.zip</file_name>
        <icon>/media/packages/2025/svedigark_big_logo.png</icon>
        <author_name><![CDATA[Uppsala University, Sweco AB]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/swedigarch_plugin/version/1.5.1/download/</download_url>
        <uploaded_by><![CDATA[kicki]]></uploaded_by>
        <create_date>2023-12-14T15:09:50.178943+00:00</create_date>
        <update_date>2025-01-23T10:48:01.419827+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/swedigarch/QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/swedigarch/QGIS-plugin]]></repository>
        <tags><![CDATA[geopackage,postgresql/postgis,intrasis]]></tags>
        <downloads>4402</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Oemc Plugin" version="0.2" plugin_id="3221">
        <description><![CDATA[This plugin provides easy access to OEMC STAC catalog]]></description>
        <about><![CDATA[This plugin aims to provide straightforward access to OEMC STAC catalog spatial layers to allow different user communities to conduct integrated and customized analysis in an open-source environment.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Open-Earth-Monitor/oemc-qgis-plugin]]></homepage>
        <file_name>oemc-qgis-plugin-main.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_Pwcj9wL.png</icon>
        <author_name><![CDATA[OpenGeoHub]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/oemc-qgis-plugin-main/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[muratsahin]]></uploaded_by>
        <create_date>2023-12-15T11:01:50.044299+00:00</create_date>
        <update_date>2024-08-27T09:13:44.733960+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Open-Earth-Monitor/oemc-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Open-Earth-Monitor/oemc-qgis-plugin]]></repository>
        <tags><![CDATA[raster,stac,cog,openeo]]></tags>
        <downloads>2162</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BrandGIS" version="1.0.4" plugin_id="3222">
        <description><![CDATA[BrandGIS Ledningsstöd och geografisk lägesbild vid brand i skog och mark.]]></description>
        <about><![CDATA[Denna applikation är en hjälp för dig för att arbeta som ett ledningsstöd och geografisk lägesbild vid brand i skog och mark.
Se mer information på:
https://ext-geoportal.lansstyrelsen.se/arcgis/apps/storymaps/collections/7b8f0317581240f9b8d6beacd840ad1e]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.3.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Danlin82/BrandGIS/wiki]]></homepage>
        <file_name>brand_gis.1.0.4.zip</file_name>
        <icon>/media/packages/2024/icon_D08rweQ.png</icon>
        <author_name><![CDATA[Daniel Lind]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/brand_gis/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[danlinqgis]]></uploaded_by>
        <create_date>2023-12-15T12:45:57.212444+00:00</create_date>
        <update_date>2025-05-23T13:00:03.525284+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Danlin82/BrandGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Danlin82/BrandGIS]]></repository>
        <tags><![CDATA[editing,project,print,digitizing,topography]]></tags>
        <downloads>2020</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Feature Z Setter" version="1.1" plugin_id="3223">
        <description><![CDATA[Sets the Z value of each new/edited feature to a specific value, based on a DEM layer plus an offset.]]></description>
        <about><![CDATA[This plugin&#x27;s aim is to help to set, more accurately, the 3D coordinate of vector features. It does it by searching the Z value of a preloaded raster DEM, with the chance of fine tunning that value by setting an offset. If no DEM is provided, it will only consider the offset value.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/feature-z-setter]]></homepage>
        <file_name>feature_z.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_mwiaxcN.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/feature_z/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2023-12-15T15:20:17.423608+00:00</create_date>
        <update_date>2025-09-15T14:12:38.087526+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/feature-z-setter/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/feature-z-setter]]></repository>
        <tags><![CDATA[vector,raster,dem,layers,3d]]></tags>
        <downloads>2741</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Riverscapes Viewer" version="1.1.1" plugin_id="3224">
        <description><![CDATA[Explore symbolized Riverscapes projects]]></description>
        <about><![CDATA[The Riverscapes Viewer Plugin is part of the Riverscapes Consortium’s much larger family of tools for analyzing riverscapes. The Riverscapes Viewer Plugin itself does not do any analysis, but allows exploring of any Riverscapes-compliant project. This plugin provides an explorer in which you can navigate the “project tree”, and add any layer to map symbolized appropriately.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://viewer.riverscapes.net]]></homepage>
        <file_name>riverscapes_viewer.1.1.1.zip</file_name>
        <icon>/media/packages/2025/Viewer_256.png</icon>
        <author_name><![CDATA[North Arrow Research]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/riverscapes_viewer/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[riverscapes]]></uploaded_by>
        <create_date>2023-12-15T21:08:03.867152+00:00</create_date>
        <update_date>2026-01-24T00:04:09.424537+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Riverscapes/QRAVEPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Riverscapes/QRAVEPlugin]]></repository>
        <tags><![CDATA[python,riverscapes,riverscapes_viewer]]></tags>
        <downloads>7598</downloads>
        <average_vote>4.666277810182485</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GSI-AddressSearch" version="1.3" plugin_id="3225">
        <description><![CDATA[国土地理院のAPIを利用して、住所を検索した結果の地点を表示します。住所検索した結果から選択してポイントを追加することもできます。国土地理院API（https://msearch.gsi.go.jp/address-search/AddressSearch）から取得したデータを加工して利用。This plugin allows the user to search for a address and get its coordinates using GSI API.]]></description>
        <about><![CDATA[This plugin allows the user to search for a address and get its coordinates using GSI API.GSI is one of Japanese Governmental Organizations, stands for Geospatial Information Authority of Japan. https://www.gsi.go.jp/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hrko9gis/GSI-AddressSearch]]></homepage>
        <file_name>GSI-AddressSearch.1.3.zip</file_name>
        <icon>/media/packages/2024/Search.gif</icon>
        <author_name><![CDATA[Kohei Hara]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GSI-AddressSearch/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[hrko9gis]]></uploaded_by>
        <create_date>2023-12-17T04:54:11.084059+00:00</create_date>
        <update_date>2024-01-05T23:06:36.696669+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hrko9gis/GSI-AddressSearch/issues]]></tracker>
        <repository><![CDATA[https://github.com/hrko9gis/GSI-AddressSearch]]></repository>
        <tags><![CDATA[address,location,japan,gsi,jpn]]></tags>
        <downloads>6181</downloads>
        <average_vote>3.832694550908182</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Pacman" version="1.0" plugin_id="3226">
        <description><![CDATA[Resolve the intersection of 2 polygons by removing the overlapped area in the second polygon.]]></description>
        <about><![CDATA[When acquiring features in the field, and after doing some updates and validations, there may exist areas that overlap. To avoid manual editing and shorten the time doing it, this plugin defines the overlapped area as belonging to the first polygon and removing it from the second.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_pacman]]></homepage>
        <file_name>cigeoe_pacman_upload.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_vd3y6EF.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_pacman_upload/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2023-12-18T23:47:10.201802+00:00</create_date>
        <update_date>2023-12-18T23:47:13.316423+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_pacman/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_pacman]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>2361</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bunting Labs AI Vectorizer" version="2.10" plugin_id="3227">
        <description><![CDATA[Autocomplete for vectorizing and georeferencing raster maps.]]></description>
        <about><![CDATA[This plugin uses a neural network via API to automatically vectorize and georeference raster maps.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://buntinglabs.com/solutions/ai-vectorizer-qgis-plugin]]></homepage>
        <file_name>buntinglabs-qgis-plugin.2.10.zip</file_name>
        <icon>/media/packages/2025/icon_1aHCmWf.png</icon>
        <author_name><![CDATA[Brendan Ashworth]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/buntinglabs-qgis-plugin/version/2.10/download/</download_url>
        <uploaded_by><![CDATA[brendanashworth]]></uploaded_by>
        <create_date>2023-12-19T20:07:11.462525+00:00</create_date>
        <update_date>2025-03-11T04:25:05.762231+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BuntingLabs/buntinglabs-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/BuntingLabs/buntinglabs-qgis-plugin]]></repository>
        <tags><![CDATA[vector,raster,digitizing,image,api,georeferencing,machine learning,neural network,automation,ai]]></tags>
        <downloads>90845</downloads>
        <average_vote>4.283212235767423</average_vote>
        <rating_votes>173</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dokumente verknüpfen" version="1.0" plugin_id="3228">
        <description><![CDATA[With this Plugin documents can be connected to objects. It is designed for sewer system inspection data.]]></description>
        <about><![CDATA[With this Plugin documents can be connected to objects. It is designed for sewer system inspection data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/a-matz/QGis_document_connector]]></homepage>
        <file_name>document_connector.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_rMBecYu.png</icon>
        <author_name><![CDATA[Armin Matzl]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/document_connector/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[arminmatzl]]></uploaded_by>
        <create_date>2023-12-23T12:35:09.166177+00:00</create_date>
        <update_date>2024-02-17T07:38:21.194128+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/a-matz/QGis_document_connector/issues]]></tracker>
        <repository><![CDATA[https://github.com/a-matz/QGis_document_connector]]></repository>
        <tags><![CDATA[python,sewer]]></tags>
        <downloads>2073</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Point Cloud Filter Slider" version="1.0" plugin_id="3230">
        <description><![CDATA[GUI panel to change values in simple query builder filter for point clouds.

(Deprecated since 3.38 when functionality is built in core)]]></description>
        <about><![CDATA[In order to filter point clouds you use the query builder. This plugin helps change this filter quickly without the need to open the query builder and changing text.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/klakar/PcFilterSlider]]></homepage>
        <file_name>pc_filter_slider.1.0.zip</file_name>
        <icon>/media/packages/2024/icon.png</icon>
        <author_name><![CDATA[Klas Karlsson]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pc_filter_slider/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[klakar]]></uploaded_by>
        <create_date>2024-01-01T14:29:14.112281+00:00</create_date>
        <update_date>2024-01-01T14:29:15.876002+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/klakar/PcFilterSlider/issues]]></tracker>
        <repository><![CDATA[https://github.com/klakar/PcFilterSlider]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1426</downloads>
        <average_vote>2.4987506246876565</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FIM" version="1.0.38" plugin_id="3233">
        <description><![CDATA[Forest Inventory and Monitoring]]></description>
        <about><![CDATA[Das Plugin „Forest Inventory Monitoring“ (FIM) dient der Aufnahme in Brandenburg als Waldinventur nach § 30 LWaldG durchgeführten Waldinventur „Verjüngungszustands- und Wildeinflussmonitoring“ (VWM).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/b-lack/qgis-fim-plugin]]></homepage>
        <file_name>fim.1.0.38.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Torsten Wiebke (Concept), Gerrit Balindt (Development)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fim/version/1.0.38/download/</download_url>
        <uploaded_by><![CDATA[gruenecho]]></uploaded_by>
        <create_date>2024-01-04T14:21:45.642292+00:00</create_date>
        <update_date>2025-05-23T16:50:36.821553+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/b-lack/qgis-fim-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/b-lack/qgis-fim-plugin]]></repository>
        <tags><![CDATA[python,monitoring]]></tags>
        <downloads>4872</downloads>
        <average_vote>3.749531308586427</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Tree Tools" version="1.4.0" plugin_id="3235">
        <description><![CDATA[Sorts and groups nodes in layer tree, takes layer tree snapshots]]></description>
        <about><![CDATA[Adds the ability to sort layer tree nodes by one of their attributes (name, geometry, position etc.) as well as grouping nodes that share the same attribute. Snapshoting is the ability to save current tree format and reload tree nodes in order in which they were (memory layers can also be stored and reloaded as memory layers).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ViperMiniQ/qgis-layer-tree-tools]]></homepage>
        <file_name>layer_tree_tools.1.4.0.zip</file_name>
        <icon>/media/packages/2026/sort_icon.png</icon>
        <author_name><![CDATA[Viper MiniQ]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer_tree_tools/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[viperminiq]]></uploaded_by>
        <create_date>2024-01-06T15:36:47.296794+00:00</create_date>
        <update_date>2024-09-10T20:47:31.110570+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ViperMiniQ/qgis-layer-tree-tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/ViperMiniQ/qgis-layer-tree-tools]]></repository>
        <tags><![CDATA[python,sort,snapshot,group]]></tags>
        <downloads>8110</downloads>
        <average_vote>4.642525533890437</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Infra3D plugin" version="0.3.0" plugin_id="3237">
        <description><![CDATA[This plugin is an integration of the Infra3D application with QGIS]]></description>
        <about><![CDATA[This plugin is an integration of the Infra3D application with QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/iNovitas/infra3d-qgis-plugin/blob/main/README.md]]></homepage>
        <file_name>Infra3DPlugin.0.3.0.zip</file_name>
        <icon>/media/packages/2024/infra3d_05YIqgr.png</icon>
        <author_name><![CDATA[Sourcepole AG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Infra3DPlugin/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[mhugent]]></uploaded_by>
        <create_date>2024-01-08T11:59:16.996857+00:00</create_date>
        <update_date>2024-01-08T11:59:17.285273+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/iNovitas/qgis-infra3d-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/iNovitas/qgis-infra3d-plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2382</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QgisToUGCS" version="1.4" plugin_id="3238">
        <description><![CDATA[A Plugin to create UGCS missions from GPKG layers.
This is made for drone users that want to lead AreaScan for a drone-line inspection]]></description>
        <about><![CDATA[This plugin aim to create entires UGCS missions from a GIS layer GPKG file.
So it is much faster than doing it directely on UGCS software and can be automated.
The symbology able to have an idea of the flight time on QGIS without waiting the route to be processed.
The user don t need to match azimuth with flight plan limit (very long to do).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/vincentBenet/QGIS-plugin_qgis-to-ugcs]]></homepage>
        <file_name>QGIS-plugin_qgis-to-ugcs.1.4.zip</file_name>
        <icon>/media/packages/2024/icon_32lrqVa.png</icon>
        <author_name><![CDATA[Vincent Bénet]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS-plugin_qgis-to-ugcs/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[vincentbenet]]></uploaded_by>
        <create_date>2024-01-09T22:21:53.360834+00:00</create_date>
        <update_date>2024-03-01T16:09:10.019384+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vincentBenet/QGIS-plugin_qgis-to-ugcs/issues]]></tracker>
        <repository><![CDATA[https://github.com/vincentBenet/QGIS-plugin_qgis-to-ugcs]]></repository>
        <tags><![CDATA[python,drone,ugcs]]></tags>
        <downloads>2962</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Y!maptool（Yahoo! JAPAN YOLP Web API）" version="1.0" plugin_id="3240">
        <description><![CDATA[Yahoo!JAPANのYOLP Web APIを利用して、検索した結果の位置を表示します。郵便番号での検索ができます。クレジット：Webサービス by Yahoo! JAPAN （https://developer.yahoo.co.jp/sitemap/） This plugin allows the user to displays the location of search results using Yahoo!JAPAN YOLP Web API.You can search by zip code.]]></description>
        <about><![CDATA[This plugin allows the user to displays the location of search results using Yahoo!JAPAN YOLP Web API.You can search by zip code.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hrko9gis/Y-maptool]]></homepage>
        <file_name>Y-maptool.1.0.zip</file_name>
        <icon>/media/packages/2024/Ymaptool.gif</icon>
        <author_name><![CDATA[Kohei Hara]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Y-maptool/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[hrko9gis]]></uploaded_by>
        <create_date>2024-01-14T07:13:32.388210+00:00</create_date>
        <update_date>2024-01-14T07:13:32.773709+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hrko9gis/Y-maptool/issues]]></tracker>
        <repository><![CDATA[https://github.com/hrko9gis/Y-maptool]]></repository>
        <tags><![CDATA[location,zip,japan,jpn,yahoo]]></tags>
        <downloads>1478</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Whitebox Workflows for QGIS" version="1.2.6" plugin_id="3241">
        <description><![CDATA[Provides access to Whitebox Workflows within QGIS]]></description>
        <about><![CDATA[This plugin provides access to the Whitebox Workflows for Python (WbW) geospatial analysis library. WbW has functionality for processing raster, vector and LiDAR data. With nearly 500 tools for performing advanced spatial analytical operations, WbW is a GIS powerhouse. See www.whiteboxgeo.com/whitebox-workflows-for-python/ for further details.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.whiteboxgeo.com/whitebox-workflows-for-python/]]></homepage>
        <file_name>whitebox_workflows_for_qgis.1.2.6.zip</file_name>
        <icon>/media/packages/2024/WbW_OfiSUfk.svg</icon>
        <author_name><![CDATA[John Lindsay, Whitebox Geospatial Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/whitebox_workflows_for_qgis/version/1.2.6/download/</download_url>
        <uploaded_by><![CDATA[jlindsay]]></uploaded_by>
        <create_date>2024-01-16T18:54:37.343683+00:00</create_date>
        <update_date>2024-05-03T13:16:17.980623+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jblindsay/whitebox_workflows_for_qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/jblindsay/whitebox_workflows_for_qgis]]></repository>
        <tags><![CDATA[vector,raster,shapefile,analysis,flow,flood,dem,topography,remote sensing,processing,lidar]]></tags>
        <downloads>30562</downloads>
        <average_vote>2.9642724809264243</average_vote>
        <rating_votes>224</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CAV" version="1.2" plugin_id="3242">
        <description><![CDATA[Este plugin realiza cálculos, comparações e análises estatísticas do volume e área de uma cota específica em um modelo digital de terreno.]]></description>
        <about><![CDATA[Este plugin é produto de uma colaboração entre a Universidade Federal de Viçosa e o Ministério da Integração e Desenvolvimento Regional. Ferramenta foi validada e melhorada no projeto de Mestrado do aluno Felipe Santos com orientação dos professores Italo Ferreira e Julio Oliveira. 
Ele permite calcular volume e área em um modelo digital de terreno, gerando relatórios em PDF, gráficos e tabelas CSV. A ferramenta facilita comparações entre dois modelos de terreno e análises estatísticas de assoreamento. Para utilizá-la, são necessários um ou dois modelos raster e uma camada vetorial delimitando a área de interesse.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/felipesantoc/cav_ufv]]></homepage>
        <file_name>cav.1.2.zip</file_name>
        <icon>/media/packages/2024/icon_UqYU6O8.png</icon>
        <author_name><![CDATA[GPHIDRO]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cav/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[felipesantos]]></uploaded_by>
        <create_date>2024-01-17T20:58:30.520365+00:00</create_date>
        <update_date>2024-03-20T00:37:27.679946+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/felipesantoc/cav_ufv/issues]]></tracker>
        <repository><![CDATA[https://github.com/felipesantoc/cav_ufv]]></repository>
        <tags><![CDATA[python,raster,topography,cartography,surveying]]></tags>
        <downloads>4522</downloads>
        <average_vote>4.499625031247397</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geovita GIS Processing provider" version="3.3.0" plugin_id="3243">
        <description><![CDATA[Aims to bring different Geovita custom geological and geotechnical processing algorithms to QGIS]]></description>
        <about><![CDATA[Geovita plugin provider. This plugin enables different geological and geotechnical algorithms to QGIS, and is under development.

Now it implements NGI&#x27;s REMEDY_GIS_RiskTool to QGIS:

* REMEDY_GIS_RiskTool is an open-source GIS-based tool using the GIBV method to quantify building damage risks from deep excavation, analyzing settlements due to wall deformation and groundwater drawdown, developed under the REMEDY/Begrens Skade 2 research project (2017–2022).

* Begrens Skade - Excavation: Analyzes building settlement risks in soft clays caused by deep excavation wall deformation, using the GIBV method to calculate vertical greenfield settlements based on empirical data from retaining wall behavior (developed under the REMEDY/Begrens Skade 2 project).
* Begrens Skade - ImpactMap: Quantifies short- and long-term consolidation settlements from groundwater drawdown during construction pit establishment, employing the GIBV method and empirical datasets to model spatiotemporal risk distribution in soft clays (part of the NFR-funded REMEDY initiative).
* Begrens Skade - Tunnel: Evaluates subsidence and inclination risks in buildings adjacent to tunnel excavations, leveraging the GIBV framework to predict settlements induced by tunneling activities in soft clay environments (developed through the REMEDY/Begrens Skade 2 research collaboration).

- File bug-reports here: https://github.com/danpejobo/geovita_processing_plugin/issues]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/danpejobo/geovita_processing_plugin]]></homepage>
        <file_name>geovita_processing_plugin.3.3.0.zip</file_name>
        <icon>/media/packages/2025/geovita_aNbQCrH.ico</icon>
        <author_name><![CDATA[DPE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geovita_processing_plugin/version/3.3.0/download/</download_url>
        <uploaded_by><![CDATA[danpejobo]]></uploaded_by>
        <create_date>2024-01-17T23:19:11.627152+00:00</create_date>
        <update_date>2025-11-05T17:18:36.601789+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/danpejobo/geovita_processing_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/danpejobo/geovita_processing_plugin]]></repository>
        <tags><![CDATA[geology,dtm,settlements,remedy,begrensskade,ngi,impactmap,excavation,gibv method,infrastructure risk,subsidence,geotechnical engineering,tunnel engineering,slope stability,soft clays,soil-structure interaction,site investigation,groundwater drawdown,geotechnical modeling,soil mechanics,geotechnical analysis,geohazards,consolidation,ground deformation]]></tags>
        <downloads>7164</downloads>
        <average_vote>4.399560043995601</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CoGEOS" version="0.5" plugin_id="3244">
        <description><![CDATA[This plugin enables the user to automatically extract shorelines and compute shoreline change rates.]]></description>
        <about><![CDATA[Regional Centre for Mapping of Resource and Development (RCMRD), through its partnership with the private sector, is developing environmental monitoring tools for Coastal Erosion mapping in Comoros, Mauritius and Madagascar using EO data, innovative techniques and end-user knowledge. This involves the development of an interactive dashboard that al- lows the user to interactively explore ares susceptible to coastal change, a QGIS plugin to model shoreline changes and a Mapographics to provide insights and inform policies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://cogeos000.readthedocs.io/en/latest/Introduction/plugin.html]]></homepage>
        <file_name>shoreline_extractor.0.5.zip</file_name>
        <icon>/media/packages/2024/icon_BES7ozu.png</icon>
        <author_name><![CDATA[LocateIT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shoreline_extractor/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[kevinkiprotich]]></uploaded_by>
        <create_date>2024-01-18T09:48:30.634482+00:00</create_date>
        <update_date>2024-07-17T07:12:57.886931+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kevin-Kiprotich/shoreline_extractor/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kevin-Kiprotich/shoreline_extractor]]></repository>
        <tags><![CDATA[python,erosion,coastal erosion,shoreline change,shoreline extraction,coastal geomorphology,accretion]]></tags>
        <downloads>5316</downloads>
        <average_vote>3.66625930452172</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Co-Traveler" version="3.2.0" plugin_id="3245">
        <description><![CDATA[Co-Traveler discovery tools.]]></description>
        <about><![CDATA[The co-traveler tools help discover, among a collection of moving objects, subsets of these objects which travel together.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamiltoncj/qgis-cotraveler-plugin]]></homepage>
        <file_name>cotraveler.3.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_In6lngs.png</icon>
        <author_name><![CDATA[David S. Yuen, John Farina, Calvin Hamilton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cotraveler/version/3.2.0/download/</download_url>
        <uploaded_by><![CDATA[hamiltoncj]]></uploaded_by>
        <create_date>2024-01-18T12:15:36.571758+00:00</create_date>
        <update_date>2026-03-23T12:59:29.180577+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamiltoncj/qgis-cotraveler-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamiltoncj/qgis-cotraveler-plugin]]></repository>
        <tags><![CDATA[travel,moving objects,tracks,co-travel,synchronous,co-travelers]]></tags>
        <downloads>2324</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoFA" version="0.36" plugin_id="3246">
        <description><![CDATA[Gratis og let adgang til GeoFA (Geografiske Fagdata i GeoDanmark) i QGIS. &lt;br&gt;

Free and easy access to GeoFA (Geographical Professional Data in GeoDanmark) in QGIS.]]></description>
        <about><![CDATA[See english version below.

Geografiske Fagdata i GeoDanmark (GeoFA) er en frivillig samling af fællesoffentlige data, som vurderes at have værdi på tværs af kommunegrænser – både for myndigheder og andre eksterne anvendere. Det er frivilligt for myndigheder at benytte databasen til opbevaring og udstilling af data – dermed kan nogle data være ufuldstændige. Data er gratis for tredjepart at hente og anvende data lokalt.

Dette plugin gør det let at indlæse alle GeoFA’s data i QGIS. Når pluginet er installeret vises menuen GeoFA, hvorfra du kan tilføje GeoFA-data såsom friluftsdata, skoledistrikter og ladefaciliteter til kortet.

Bemærk når der udfyldes en kolonne med en kodeværdi (f.eks. oprindkode), behøver man ikke at udfylde den tilhørende kodetekst (f.eks. oprindelse) – det bliver automatisk udfyldt når der gemmes.

Har man et brugernavn og en kode, kan man editere i ens eget data i lagene, hvilket gøres under indstillinger &gt; GeoFA &gt; Brugernavn og kode. Her kan man vælge enten ”WFS-T (muligt at editere)” for at oprette og redigere i GeoFA-databasen eller ”Testmiljø” for at oprette og redigere i testmiljøet.

Hvis man mangler sit login eller skal oprettes som ny bruger, bedes man sende en mail til support@geopartner.dk, hvor man i emnefeltet skal skrive ”GeoFA brugeroplysninger”.

Dette plugin er udviklet af &lt;a href=&quot;https://geopartner.dk/&quot; target=&quot;_blank&quot;&gt;Geopartner&lt;/a&gt; og &lt;a href=&quot;https://www.geodanmark.dk/home/vejledninger/geofa/&quot; targer=&quot;_blank&quot;&gt;GeoDanmark&lt;/a&gt;.

_________________________________________________________________________________________________________________________________________________________________

English Version:

Geographical Professional Data in GeoDanmark (GeoFA) is a voluntary collection of joint public data, which is considered to have value across municipal boundaries - both for authorities and other external users. It is voluntary for authorities to use the database for storage and display of data - thus some data may be incomplete. Data is free for third parties to download and use locally.

This plugin makes it easy to load all of GeoFA&#x27;s data into QGIS. Once the plugin is installed, the GeoFA menu is displayed, from which you can add GeoFA data such as outdoor data, school districts, and charging facilities to the map.

Note that when filling out a column with a code value (e.g., origin code), one does not need to fill out the corresponding code text (e.g., origin) - it will be automatically filled in when saved.

If one has a username and a code, one can edit one&#x27;s own data in the layers, which is done under settings &gt; GeoFA &gt; username and code. Here one can choose either &#x27;WFS-T (possible to edit)&#x27; to create and edit in the GeoFA database or &#x27;Test environment&#x27; to create and edit in the test environment.

This plugin is developed by &lt;a href=&quot;https://geopartner.dk/&quot; target=&quot;_blank&quot;&gt;Geopartner&lt;/a&gt; and &lt;a href=&quot;https://www.geodanmark.dk/home/vejledninger/geofa/&quot; targer=&quot;_blank&quot;&gt;GeoDanmark&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geodanmark.dk/home/vejledninger/geofa/]]></homepage>
        <file_name>geofa.0.36.zip</file_name>
        <icon>/media/packages/2024/icon_xWkUjSo.png</icon>
        <author_name><![CDATA[GeoFA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geofa/version/0.36/download/</download_url>
        <uploaded_by><![CDATA[hl101688]]></uploaded_by>
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        <update_date>2024-09-18T06:54:18.498889+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoDanmarkGeoFA/QGIS_GeoFA/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoDanmarkGeoFA/QGIS_GeoFA]]></repository>
        <tags><![CDATA[wfs,dansk,danmark,open data,danish,denmark,geodanmark,geopartner,geofa]]></tags>
        <downloads>7083</downloads>
        <average_vote>4.555049438951228</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Rename Attachment Attribute" version="1.0" plugin_id="3249">
        <description><![CDATA[Rename attachment attribute of selected field on all features]]></description>
        <about><![CDATA[Rename attachment attribute of selected field on all features]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_rename_attachment_attribute.git]]></homepage>
        <file_name>cigeoe_rename_attachment_attribute_upload.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_wtDr936.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_rename_attachment_attribute_upload/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2024-01-23T20:06:22.938218+00:00</create_date>
        <update_date>2024-01-23T20:06:23.245593+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_rename_attachment_attribute/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_rename_attachment_attribute.git]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>1933</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WFS Styler Plugin" version="1.0.1" plugin_id="3250">
        <description><![CDATA[Set a WMS style to a WFS layer]]></description>
        <about><![CDATA[If an OGC service is hosting data both as WMS and WFS layers, this plugin
tries to find the corresponding WMS for a WFS, picks up the WMS styles
(SLD&#x27;s) and sets the style to the WFS.

This plugin was sponsored by Provincie Zeeland, The Netherlands.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ProvincieZeeland/wfs_styler_qgis_plugin]]></homepage>
        <file_name>wfs_styler.1.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_NHDEabs.svg</icon>
        <author_name><![CDATA[Raymond Nijssen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wfs_styler/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[raymondnijssen]]></uploaded_by>
        <create_date>2024-01-24T12:05:25.673779+00:00</create_date>
        <update_date>2024-01-26T07:44:04.124114+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ProvincieZeeland/wfs_styler_qgis_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/raymondnijssen/wfs_styler_qgis_plugin]]></repository>
        <tags><![CDATA[style,wfs,wms,mapserver,sld,ogc,geoserver,styler]]></tags>
        <downloads>5160</downloads>
        <average_vote>4.874390701162355</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MunsellRGB" version="1.1" plugin_id="3254">
        <description><![CDATA[Munsell code to sRBG conversion.]]></description>
        <about><![CDATA[This proccessing tool converts Munsell color system code into sRBG value.
munsellrgb can be found in rat proccesing provider.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/matjash/munsellrgb]]></homepage>
        <file_name>munsellrgb.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_afvd4qg.png</icon>
        <author_name><![CDATA[Matjaž Mori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/munsellrgb/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[matjash]]></uploaded_by>
        <create_date>2024-01-24T22:16:56.485566+00:00</create_date>
        <update_date>2024-01-24T22:16:56.762502+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/matjash/munsellrgb/issues]]></tracker>
        <repository><![CDATA[https://github.com/matjash/munsellrgb]]></repository>
        <tags><![CDATA[python qgis munsell rgb archaeology soil rat]]></tags>
        <downloads>1607</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VectorToDBLoader" version="1.1" plugin_id="3255">
        <description><![CDATA[Loads Active Vector Themes to PostGIS, Oracle and MS SQL]]></description>
        <about><![CDATA[*** NOTE *** This plugin will crash on initial download as there are missing Python Connectors to the databases.
*** Download the Plugin - open the &quot;RubberSheetingETC.html&quot; in the plugin folder for User and Installation instructions. ***
*** Install Python Database Connectors: psycopg2, oracledb, pyodbc,{Devart ODBC Driver for Oracle},{Devart ODBC Driver for SQL Server} ***
*** On Ubuntu, run: pip3 install -U psycopg2 oracledb pyodbc ***]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SpatialTapestry/QGIS-Plugin---Vector-Themes-to-DB]]></homepage>
        <file_name>vectortodbloader.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_Gb5rEw8.png</icon>
        <author_name><![CDATA[Roger Merritt, Spatial Tapestry PL]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vectortodbloader/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[spatialtapestry]]></uploaded_by>
        <create_date>2024-01-25T04:38:10.890377+00:00</create_date>
        <update_date>2025-01-08T07:57:50.287022+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SpatialTapestry/QGIS-Plugin---Vector-Themes-to-DB/issues]]></tracker>
        <repository><![CDATA[https://github.com/SpatialTapestry/QGIS-Plugin---Vector-Themes-to-DB]]></repository>
        <tags><![CDATA[vector,python,postgis,oracle,ms sql,data migration]]></tags>
        <downloads>4109</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Eurostat downloader" version="0.4.1" plugin_id="3258">
        <description><![CDATA[This plugin can be used to get data using the Eurostat API.]]></description>
        <about><![CDATA[Eurostat Downloader can be used to add Eurostat datasets as tables in QGIS and join them with vector layers. For a guide on how to use the package, check the homepage. Depends on the &#x27;eurostat&#x27; python package. After installing it, make sure to give QGIS a restart.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alecsandrei/eurostat_downloader]]></homepage>
        <file_name>eurostat_downloader.0.4.1.zip</file_name>
        <icon>/media/packages/2026/icon_UUOVGES.png</icon>
        <author_name><![CDATA[Cuvuliuc Alex-Andrei]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eurostat_downloader/version/0.4.1/download/</download_url>
        <uploaded_by><![CDATA[alecsandrei]]></uploaded_by>
        <create_date>2024-01-28T19:23:25.805077+00:00</create_date>
        <update_date>2026-01-30T10:25:33.325335+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alecsandrei/eurostat_downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/alecsandrei/eurostat_downloader]]></repository>
        <tags><![CDATA[database,statistics,api,eurostat,gisco]]></tags>
        <downloads>4609</downloads>
        <average_vote>3.733084461035931</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Autofill Attributes" version="1" plugin_id="3259">
        <description><![CDATA[Simple screen to fill your attributes table automatically.]]></description>
        <about><![CDATA[Right click in the attribute table to open a screen which lets you quickly set the unique value text in fields.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/steeve-bvs7/qgis-plugin-autofill_attr]]></homepage>
        <file_name>qgis-plugin-autofill_attr.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Steeve Beauvais]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-plugin-autofill_attr/version/1/download/</download_url>
        <uploaded_by><![CDATA[steevebvs7]]></uploaded_by>
        <create_date>2024-01-29T08:21:25.972066+00:00</create_date>
        <update_date>2024-01-29T08:21:26.798754+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/steeve-bvs7/qgis-plugin-autofill_attr/issues]]></tracker>
        <repository><![CDATA[https://github.com/steeve-bvs7/qgis-plugin-autofill_attr]]></repository>
        <tags><![CDATA[search,attribute,attribute edit,attribute table,table,field]]></tags>
        <downloads>7221</downloads>
        <average_vote>3.6425969573601886</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QSU2" version="0.2" plugin_id="3260">
        <description><![CDATA[QSU2 for CFD simulations]]></description>
        <about><![CDATA[QSU2 is an open-source QGIS processing plugin developed by the KIOS Research and Innovation Center of Excellence, University of Cyprus which operates within the QGIS environment, for providing an interface for the SU2 software, an open-source software suite for simulation and optimization in computational fluid dynamics (CFD), developed at Stanford University. This tool is particularly useful for engineers, researchers, and professionals engaged in CFD analysis, enabling them to efficiently prepare their simulation environments using geospatial data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/KIOS-Research/QSU2]]></homepage>
        <file_name>QSU2.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Syed Mafooq Ul Hassan, Marios S. Kyriakou, Demetrios G. Eliades, KIOS Research and Innovation Center of Excellence (KIOS CoE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QSU2/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
        <create_date>2024-01-29T10:05:29.839046+00:00</create_date>
        <update_date>2024-09-26T07:15:11.205166+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KIOS-Research/QSU2/issues/]]></tracker>
        <repository><![CDATA[https://github.com/KIOS-Research/QSU2/]]></repository>
        <tags><![CDATA[python,water,dam,cfd,su2]]></tags>
        <downloads>1796</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenLog" version="1.8.0" plugin_id="3263">
        <description><![CDATA[High performance drillhole visualization QGIS module supporting 3D, cross-section, and log views.]]></description>
        <about><![CDATA[Thank you for using OpenLog, which is funded by industry users like you!
&lt;p&gt;If you aim to achieve even more with OpenLog, check out our &lt;a href=&quot;https://apeiron.technology/openlog/&quot;&gt;Premium&lt;/a&gt; version.&lt;/p&gt;
&lt;p&gt;Dependencies are listed &lt;a href=&quot;https://geolandia.gitlab.io/openlog/openlog-documentation/usage/installation.html#direct-dependency-installations&quot;&gt;here&lt;/a&gt;&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://apeiron.technology/openlog/]]></homepage>
        <file_name>openlog.1.8.0.zip</file_name>
        <icon>/media/packages/2026/logo_ueRrJ9Y.png</icon>
        <author_name><![CDATA[Apeiron]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/openlog/version/1.8.0/download/</download_url>
        <uploaded_by><![CDATA[vla123]]></uploaded_by>
        <create_date>2024-01-31T16:34:42.348122+00:00</create_date>
        <update_date>2026-02-26T15:40:04.680192+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/geolandia/openlog/openlog-qgis-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geolandia/openlog/openlog-qgis-plugin/]]></repository>
        <tags><![CDATA[geology,cross-section,3d,drillhole,mining,striplog]]></tags>
        <downloads>15452</downloads>
        <average_vote>4.756628199237859</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RubberSheetingEtc" version="1.0" plugin_id="3265">
        <description><![CDATA[Provides Rubber Sheeting and Two Point Transformations, storing to PostGIS, Oracle and MS SQL. The Rubber Sheeting algorithm uses supplied Shift Vectors and calculates the weighted average shift from the 10 nearest Shift Vectors. The Two Point Transformations handles themes with and without a CRS.]]></description>
        <about><![CDATA[*** NOTE *** This plugin will crash on initial download as there are missing Python Connectors to the databases.
*** Download the Plugin - open the &quot;RubberSheetingETC.html&quot; in the plugin folder for User and Installation instructions. ***
*** Install Python Database Connectors: psycopg2, oracledb, pyodbc,{Devart ODBC Driver for Oracle},{Devart ODBC Driver for SQL Server} ***
*** On Ubuntu, run: pip3 install -U psycopg2 oracledb pyodbc ***]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SpatialTapestry/QGIS-Plugin---RubberSheeting]]></homepage>
        <file_name>QGIS-Plugin---RubberSheeting-main.1.0.zip</file_name>
        <icon>/media/packages/2024/tapestry_395Fyjy.png</icon>
        <author_name><![CDATA[Roger Merritt, Spatial Tapestry PL]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS-Plugin---RubberSheeting-main/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[spatialtapestry]]></uploaded_by>
        <create_date>2024-02-01T06:34:24.008721+00:00</create_date>
        <update_date>2024-12-29T09:23:00.744221+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SpatialTapestry/QGIS-Plugin---RubberSheeting/issues]]></tracker>
        <repository><![CDATA[https://github.com/SpatialTapestry/QGIS-Plugin---RubberSheeting]]></repository>
        <tags><![CDATA[vector,python,postgis,oracle,ms sql,data migration,two point transformation,rubber sheeting]]></tags>
        <downloads>3030</downloads>
        <average_vote>4.28510212826739</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QTalsim" version="1.7.1" plugin_id="3266">
        <description><![CDATA[QTalsim is a QGIS plugin with four principal functionalities that enable the processing of spatial data suitable for Talsim (http://www.talsim.de/).]]></description>
        <about><![CDATA[QTalsim is a QGIS plugin with four principal functionalities that enable the processing of spatial data suitable for Talsim. Firstly, it enables users to calculate Hydrological Response Units (HRUs). Secondly, the plugin faciliates a direct connection to a Talsim database, enabling users to edit system elements, sub-basins and transport reaches. The third functionality allows the user to preprocess sub-basins and calculate the longest flowpaths for each sub-basin. Another functionality downloads data from ISRIC and creates a layer containing the soil type and bulk density class for a given input area. The fifth functionality allows to map German land cover data to Talsim land uses.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sydroconsult.github.io/QTalsim/doc_qtalsim.html]]></homepage>
        <file_name>QTalsim.1.7.1.zip</file_name>
        <icon>/media/packages/2026/icon_npnoo4x.png</icon>
        <author_name><![CDATA[SYDRO Consult GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QTalsim/version/1.7.1/download/</download_url>
        <uploaded_by><![CDATA[sydrolt]]></uploaded_by>
        <create_date>2024-02-01T10:58:05.639540+00:00</create_date>
        <update_date>2026-02-24T08:10:04.277997+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sydroconsult/QTalsim/issues]]></tracker>
        <repository><![CDATA[https://github.com/sydroconsult/QTalsim]]></repository>
        <tags><![CDATA[python,talsim,hydrological-modelling]]></tags>
        <downloads>8248</downloads>
        <average_vote>4.499550044995501</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DigiAgriApp" version="0.5.2" plugin_id="3267">
        <description><![CDATA[Plugins to work with DigiAgriApp server]]></description>
        <about><![CDATA[This plugin is able to interfaces with DigiAgriApp trough its API. You can upload and download vector and raster data]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://digiagriapp.gitlab.io/digiagriapp-website/]]></homepage>
        <file_name>digiagriapp.0.5.2.zip</file_name>
        <icon>/media/packages/2026/icon_AzEilYs.png</icon>
        <author_name><![CDATA[Luca Delucchi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/digiagriapp/version/0.5.2/download/</download_url>
        <uploaded_by><![CDATA[lucadelu]]></uploaded_by>
        <create_date>2024-02-01T12:24:27.270861+00:00</create_date>
        <update_date>2026-04-13T22:35:56.636849+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/digiagriapp/digiagriapp-qgis-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/digiagriapp/digiagriapp-qgis-plugin]]></repository>
        <tags><![CDATA[web,api,agri]]></tags>
        <downloads>6311</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Environmental Data Retrieval" version="1.0.0" plugin_id="3268">
        <description><![CDATA[Environmental Data Retrieval QGIS plugin]]></description>
        <about><![CDATA[QGIS Client for viewing and manipulating data from the OGC Environmental Data Retrieval API endpoint.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MetOffice/qgis-plugin-edr]]></homepage>
        <file_name>edr_plugin.1.0.0.zip</file_name>
        <icon>/media/packages/2026/edr.png</icon>
        <author_name><![CDATA[Lutra Consulting]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/edr_plugin/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[sabb]]></uploaded_by>
        <create_date>2024-02-02T17:11:07.163206+00:00</create_date>
        <update_date>2024-05-31T10:38:39.436666+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MetOffice/qgis-plugin-edr/issues]]></tracker>
        <repository><![CDATA[https://github.com/MetOffice/qgis-plugin-edr/]]></repository>
        <tags><![CDATA[ogc,environmental,data,api,meteo,atmosphere,multidimensional,edr,met office]]></tags>
        <downloads>5204</downloads>
        <average_vote>4.399824007039718</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick_search" version="1.6" plugin_id="3269">
        <description><![CDATA[Quick_search]]></description>
        <about><![CDATA[The plugin is used to quickly search for objects in your project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Sakal24/quick_search.git]]></homepage>
        <file_name>quick_search.1.6.zip</file_name>
        <icon>/media/packages/2025/icon_JmFRBxN.png</icon>
        <author_name><![CDATA[Sakal Mykhailo and Tretiak Volodymyr]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick_search/version/1.6/download/</download_url>
        <uploaded_by><![CDATA[sakal]]></uploaded_by>
        <create_date>2024-02-06T10:13:22.686975+00:00</create_date>
        <update_date>2025-06-25T11:24:59.378349+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Sakal24/quick_search/issues]]></tracker>
        <repository><![CDATA[https://github.com/Sakal24/quick_search]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>16456</downloads>
        <average_vote>4.781731241250159</average_vote>
        <rating_votes>55</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SmartSDI" version="0.91" plugin_id="3271">
        <description><![CDATA[SmartSDI plugin (Geo-System)
PL: Wyszukiwanie oraz pobieranie danych z ewidencji gruntów i budynków
EN: Search and download cadastral data in Poland]]></description>
        <about><![CDATA[PL: Wtyczka SmartSDI - zaawansowane wyszukiwanie działek ewidencyjnych oraz pobieranie danych (działki, budynki, adresy) w postaci wektorowej z usługi Polish Cadaster Data Integration
EN: SmartSDI plugin - advanced search for cadastral parcels in Poland, downloading vector data (parcels, buildings, addresses) from the Polish Cadaster Data Integration service]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://smartsdi.pl/qgis]]></homepage>
        <file_name>qgis-smartsdi.0.91.zip</file_name>
        <icon>/media/packages/2025/icon_hYgL2hD.png</icon>
        <author_name><![CDATA[Geo-System]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-smartsdi/version/0.91/download/</download_url>
        <uploaded_by><![CDATA[geosystem]]></uploaded_by>
        <create_date>2024-02-07T13:18:56.377820+00:00</create_date>
        <update_date>2025-09-03T09:16:49.921577+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geo-system/qgis-smartsdi/issues]]></tracker>
        <repository><![CDATA[https://github.com/geo-system/qgis-smartsdi]]></repository>
        <tags><![CDATA[search,buildings,download,poland,działki,polska,parcels,egib,cadaster,budynki,ewidencja gruntów]]></tags>
        <downloads>4272</downloads>
        <average_vote>4.845781093762018</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PyXel_Sync" version="0.0.1" plugin_id="3273">
        <description><![CDATA[PyXel_Sync]]></description>
        <about><![CDATA[A simple SW that allows you to edit the properties of layers loaded in QGIS map canvas using PyQGIS and Openpyxl in a QGIS environment.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kekero1004/PyXel_Sync]]></homepage>
        <file_name>PyXel_Sync.0.0.1.zip</file_name>
        <icon>/media/packages/2024/PyXel_Sync.png</icon>
        <author_name><![CDATA[J.D.M.P.E]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PyXel_Sync/version/0.0.1/download/</download_url>
        <uploaded_by><![CDATA[mck5791]]></uploaded_by>
        <create_date>2024-02-12T08:25:58.541725+00:00</create_date>
        <update_date>2024-02-12T08:25:58.876029+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kekero1004/PyXel_Sync/issues]]></tracker>
        <repository><![CDATA[https://github.com/kekero1004/PyXel_Sync]]></repository>
        <tags><![CDATA[openpyxl,dbf 엑셀에서 shp 자료편집,pyxel_sync,엑셀편집]]></tags>
        <downloads>1707</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HedgeTools" version="1.0.2" plugin_id="3274">
        <description><![CDATA[Extract and caracterize hedges. \n

A documentation is available at: https://hedgetools-oop-0770ee.pages-forge.inrae.fr/fr/]]></description>
        <about><![CDATA[HedgeTools is a Python plugin for QGIS designed to characterize hedgerows.
It aims to automate the calculation of properties and indicators at different scales of analysis (object, context, network, and landscape).
Several modules are available, including tools for extracting data from images and 3D LiDAR point clouds.

In the current version, several groups of metrics are provided:
- Metrics describing hedge morphology
- Metrics describing hedge structure
- Metrics describing the position of hedge within the landscape
- Metrics analyzing the hedge network

The plugin was developed by the DYNAFOR laboratory (INRAE / INP-AgroToulouse / EI Purpan).
It has received support from CNES (SCO EagleHedges project) in collaboration with TerraNIS.
It is also funded by the French Ministry of Agriculture and Food Sovereignty (MAASA)
and the Ministry for Ecological Transition (MTE) as part of the National Hedge Observatory, in collaboration with OFB and IGN.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://hedgetools-oop-0770ee.pages-forge.inrae.fr/fr/]]></homepage>
        <file_name>hedge_tools.1.0.2.zip</file_name>
        <icon>/media/packages/2026/hedge_tools_MTfvikC.png</icon>
        <author_name><![CDATA[Gabriel MARQUÈS, Lucas Bernigaud Samatan, David Sheeren]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hedge_tools/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[dynafor]]></uploaded_by>
        <create_date>2024-02-13T14:58:40.940618+00:00</create_date>
        <update_date>2026-03-23T09:17:05.664746+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://forge.inrae.fr/dynafor/workflows/hedgetools/-/issues]]></tracker>
        <repository><![CDATA[https://forge.inrae.fr/dynafor/workflows/hedgetools]]></repository>
        <tags><![CDATA[extraction,tree cover,characterization,hedges]]></tags>
        <downloads>4231</downloads>
        <average_vote>4.33304446370242</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="C-GEO Wizualizacja GML demo" version="1.4.6" plugin_id="3279">
        <description><![CDATA[Wtyczka wczytuje oraz wizualizuje dane EGiB, GESUT, BDOT500 zapisane w plikach GML.]]></description>
        <about><![CDATA[Wersja demo umożliwia testowanie wszystkich funkcjonalności wtyczki poza wczytywaniem surowych danych GML oraz eksportem do CAD. Podczas instalacji wtyczki automatycznie pobierane oraz instalowane są dodatkowe zależności python: ezdxf, openpyxl, pandas oraz pyperclip. W przypadku błędu instalacji należy zainstalować wskazane zależności manualnie.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://softline.geo.pl/index.php?view=article&amp;id=48:wtyczka-wizualizacja-gml-dla-qgis&amp;catid=8]]></homepage>
        <file_name>cgeo_gml_explorer_demo.1.4.6.zip</file_name>
        <icon>/media/packages/2025/cgeo_gml_qgis_gG5ZwQX.png</icon>
        <author_name><![CDATA[Softline Plus Jerzy Biegalski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cgeo_gml_explorer_demo/version/1.4.6/download/</download_url>
        <uploaded_by><![CDATA[przemek2829]]></uploaded_by>
        <create_date>2024-02-15T17:19:04.659466+00:00</create_date>
        <update_date>2025-11-25T19:39:52.590277+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GISMates/gml_explorer_demo/issues]]></tracker>
        <repository><![CDATA[https://github.com/GISMates/gml_explorer_demo]]></repository>
        <tags><![CDATA[cad,gml,dxf,bdot,gesut,egib,mapa zasadnicza,softline,c-geo]]></tags>
        <downloads>17541</downloads>
        <average_vote>4.499625031247397</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Pixel Purity Index" version="0.2.1" plugin_id="3280">
        <description><![CDATA[Pixel Purity Index algorithm]]></description>
        <about><![CDATA[Pixel purity index algorithm based on Boardman et al. 1995]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Gustavoohs/PPI]]></homepage>
        <file_name>PPI-master.0.2.1.zip</file_name>
        <icon>/media/packages/2024/icon_qDZnI5P.png</icon>
        <author_name><![CDATA[Gustavo Ferreira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PPI-master/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[gustavoohs]]></uploaded_by>
        <create_date>2024-02-16T14:20:37.756061+00:00</create_date>
        <update_date>2024-02-22T13:15:29.564959+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Gustavoohs]]></tracker>
        <repository><![CDATA[https://github.com/Gustavoohs/PPI]]></repository>
        <tags><![CDATA[python,remote sensing,pixel purity,ppi]]></tags>
        <downloads>2461</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Reshape Features 3D" version="1.0" plugin_id="3281">
        <description><![CDATA[reshape a feature in 3D]]></description>
        <about><![CDATA[This plugin reshape line or polygon with 3 dimensions using Inverse Distance Weighting (IDW) interpolation]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_reshape_features_3d]]></homepage>
        <file_name>cigeoe_reshape_features_3d_zip.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_rklesnR.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_reshape_features_3d_zip/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2024-02-19T11:49:58.885848+00:00</create_date>
        <update_date>2024-02-19T11:49:59.067188+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_reshape_features_3d/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_reshape_features_3d]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>2160</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Fluvial Corridor Toolbox" version="1.1.1" plugin_id="3282">
        <description><![CDATA[Fluvial Corridor Toolbox]]></description>
        <about><![CDATA[The Fluvial Corridor Toolbox is a set of geoalgorithms intended to describe and measure fluvial features and processes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://evs-gis.github.io/fct-qgis/]]></homepage>
        <file_name>FluvialCorridorToolbox.1.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_LIZckHT.png</icon>
        <author_name><![CDATA[CNRS UMR5600 Environnement, Ville, Société]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FluvialCorridorToolbox/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[samuelfr69]]></uploaded_by>
        <create_date>2024-02-19T15:59:23.621071+00:00</create_date>
        <update_date>2025-01-14T08:56:30.130251+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EVS-GIS/fct-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/EVS-GIS/fct-qgis]]></repository>
        <tags><![CDATA[vector,analysis,processing,fluvial,dgo,hydromorphology]]></tags>
        <downloads>3965</downloads>
        <average_vote>4.352685136168461</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NVDB Les" version="1.2" plugin_id="3285">
        <description><![CDATA[NVDB Les-Skriv (Norwegian Administration Road) it&#x27;s a Plugin for reading, visualized and manipulate NVDB (National Road Database) data, especific task users can achieve are modifying properties(Egenskaper), parent/child relationship(Relasjoner), road linking(Stedfesting) and visualizaed NVDB data.]]></description>
        <about><![CDATA[NVDB Les-Skriv National Administration Road Database) it&#x27;s a Plugin for reading. visualized, manipulate and send it back to NVDB database using NVDB REST API, especific task users can achieve are modifying properties, parent/child relationship, road linking and visualizaed data with the QGIS internals visual tools. The only dependency is a third party python library that is already there, this library is for collecting/reading NVDB data from the NVDB the library is already there in a folder called &#x27;nvdbapi&#x27;, and plugin does the job to find the library itself. So no need for manual installation. Plug-In has been run on Windows and Mac OS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nvdb.atlas.vegvesen.no/docs/produkter/qgis/]]></homepage>
        <file_name>nvdb.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_9R3NGHa.png</icon>
        <author_name><![CDATA[TeamNVDB DoV Utvikling]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nvdb/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[costringnvdb]]></uploaded_by>
        <create_date>2024-02-26T18:14:44.123937+00:00</create_date>
        <update_date>2025-05-26T11:26:50.197336+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://git.vegvesen.no/projects/NVDBDOV/repos/nvdb-qgis-plugin/browse]]></tracker>
        <repository><![CDATA[https://git.vegvesen.no/projects/NVDBDOV/repos/nvdb-qgis-plugin/browse]]></repository>
        <tags><![CDATA[norway,norge,nvdb,fagdata,vegdata]]></tags>
        <downloads>6644</downloads>
        <average_vote>4.071137775873152</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Verkeersborden" version="0.5" plugin_id="3286">
        <description><![CDATA[Import dutch traffic signs by municipality.]]></description>
        <about><![CDATA[Deze plugin laad de verkeersborden in van een gemeente.&lt;br&gt;&lt;br&gt; Gemaakt op basis van &lt;a href=&quot;https://community.openstreetmap.org/t/ndw-verkeersborden-geopackage-qgis/7594&quot;&gt;deze&lt;/a&gt; post door &lt;a href=&quot;https://community.openstreetmap.org/u/peewee32&quot;&gt;Peter&lt;/a&gt;.&lt;br&gt;&lt;br&gt;De plugin doet een query bij het CBS (via PDOK) voor een actuele lijst van gemeenten met en gemeentecodes (statcodes).&lt;br&gt;&lt;br&gt;Een gemeente is te typen in een invoerveld - vult automatisch aan.&lt;br&gt;&lt;br&gt;Daarna wordt de &lt;a href=&quot;https://www.ndw.nu&quot;&gt;NDW&lt;/a&gt; ge-queryd met de gemeentecode van de geselecteerde gemeente.&lt;br&gt;&lt;br&gt;Na het ophalen van de verkeersborden wordt de stijl toegepast zoals Peter dat heeft gedaan in zijn geopackage. De stijl is als qml bestand opgenomen in de plugin.&lt;br&gt;&lt;br&gt;De nieuwe laag is een virtuele laag.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TacodeJong/QGIS_Verkeersborden]]></homepage>
        <file_name>Verkeersborden.0.5.zip</file_name>
        <icon>/media/packages/2025/verkeersborden_4L3CGR1.svg</icon>
        <author_name><![CDATA[Taco de Jong]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Verkeersborden/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[tictaco]]></uploaded_by>
        <create_date>2024-02-27T16:22:58.120203+00:00</create_date>
        <update_date>2025-08-28T10:22:43.894674+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TacodeJong/QGIS_Verkeersborden/issues]]></tracker>
        <repository><![CDATA[https://github.com/TacodeJong/QGIS_Verkeersborden]]></repository>
        <tags><![CDATA[python,traffic]]></tags>
        <downloads>3205</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Zonal Exact Extract" version="0.6" plugin_id="3287">
        <description><![CDATA[Zonal Statistics of rasters using Exact Extract library]]></description>
        <about><![CDATA[Zonal Statistics using ExactExtract library. This plugin requires exactextract library installed with python.
If there&#x27;s need to update `exactextract` user should close QGIS, open OSGeo4WShell and write:
pip install exactextract --upgrade
You can read more about plugin and installation requirements in plugin repository / homepage.

This library allows to treat pixel cells as partially covered by polygons using weighting according to the extent of cover. If you want to know more about the library working in the backend of this plugin it&#x27;s highly recommend to visit its github repository.
The geoprocessesing tool &quot;Zonal statistics&quot; currently implemented in QGIS have an issues that yield wrong results in certain situations. Exactextract can remedy it.

Features:
--------
-Multiple supported statistics: Every statistic given by exactextract is supported by plugin (statistics), including array result type (usage of these statistics might slow down calculation and saving stage) and weighted statistics (statistics with weighted_ name).
-Define own, custom functions : Write custom Python code to define extra, additional features for raster zonal statistics. Custom functions should accept raster values and coverage attributes.
-Usage of QGIS parallel engine: There is an option to process statistics calculation in multiple parts (subtasks/batch option). Calculation of statistics in this case is done in parallel manner using QgsTaskManager engine. To configure number of parallel cores it will use you should configure Max Threads option in QGIS settings.
-Support multiple values rasters: Selection of multiple rasters will process each raster separately and append to the result.
-Support multiband rasters: In case there&#x27;s a multiband raster - each band is processed during calculations and is output as separate set of columns.
-Support weights raster]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JakubCha/exactextract_qgis]]></homepage>
        <file_name>zonal_exact.0.6.zip</file_name>
        <icon>/media/packages/2024/exact_icon_pMEJ7qE.svg</icon>
        <author_name><![CDATA[Jakub Charyton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/zonal_exact/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[jcharyton]]></uploaded_by>
        <create_date>2024-02-27T18:26:08.884264+00:00</create_date>
        <update_date>2024-10-09T13:49:05.220857+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JakubCha/exactextract_qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/JakubCha/exactextract_qgis]]></repository>
        <tags><![CDATA[vector,python,raster,statistics,extract,exact,zonal]]></tags>
        <downloads>11274</downloads>
        <average_vote>4.454410472409927</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Aino" version="0.1.2" plugin_id="3289">
        <description><![CDATA[AI assistant to download data from OSM]]></description>
        <about><![CDATA[Aino converts natural language prompts such as &quot;parks in Barcelona&quot; into vector layers containing relevant OSM data.&lt;br&gt; If you wish to collaborate, please contact us at hello@aino.world.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.25.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://aino.world/]]></homepage>
        <file_name>aino-qgis-plugin-main.0.1.2.zip</file_name>
        <icon>/media/packages/2024/icon_I4ZaQOQ.svg</icon>
        <author_name><![CDATA[aino.world]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/aino-qgis-plugin-main/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[kamestony]]></uploaded_by>
        <create_date>2024-02-29T13:02:47.134005+00:00</create_date>
        <update_date>2024-05-09T13:33:43.056808+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Aino-Technology/aino-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Aino-Technology/aino-qgis-plugin]]></repository>
        <tags><![CDATA[capture,osm,publication,webmapping,layers,internet,data,catalog,open street map,maps,webgis,collaboration,publishing,ai,realtime,comments,shared,public]]></tags>
        <downloads>18845</downloads>
        <average_vote>3.8204148611574062</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Style Exporter" version="1.1" plugin_id="3290">
        <description><![CDATA[Plugin export styles of selected layers to individual file with name same as layers name.]]></description>
        <about><![CDATA[EN: Plugin batch layer styles export of selected layers to individual file with same name as layers name.

PL: Plugin eksportuje masowo style wybranych warstw do odrębnych plików z nazwami takimi jak nazwa warstwy.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/Rzezimioszek]]></homepage>
        <file_name>style_exporter.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_IPZwNLT.png</icon>
        <author_name><![CDATA[Łukasz Świątek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/style_exporter/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[rzezimioszek]]></uploaded_by>
        <create_date>2024-03-01T13:40:45.070771+00:00</create_date>
        <update_date>2024-11-07T12:58:37.335845+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rzezimioszek/QGIS-style-exporter/issues]]></tracker>
        <repository><![CDATA[https://github.com/Rzezimioszek/QGIS-style-exporter]]></repository>
        <tags><![CDATA[python,export,style,polish,layer style]]></tags>
        <downloads>3403</downloads>
        <average_vote>4.399560043995601</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ZUMbox" version="1.0" plugin_id="3294">
        <description><![CDATA[Urban planning related tools]]></description>
        <about><![CDATA[Zbirka orodij razvitih za potrebe ZUM d.o.o.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/matjash/ZUMbox]]></homepage>
        <file_name>zum_box.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_U9IPIQm.png</icon>
        <author_name><![CDATA[Matjaž Mori, ZUM d.o.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/zum_box/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[matjash]]></uploaded_by>
        <create_date>2024-03-05T14:28:06.728172+00:00</create_date>
        <update_date>2024-03-05T14:28:07.111911+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/matjash/ZUMbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/matjash/ZUMbox]]></repository>
        <tags><![CDATA[vector,reproject,wor,mapinfo,3tra]]></tags>
        <downloads>1562</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SciPy Filters" version="2.0" plugin_id="3297">
        <description><![CDATA[Filter collection implemented with SciPy]]></description>
        <about><![CDATA[QGIS plugin providing access to SciPy filters via the processing toolbox. SciPy offers a range of highly optimised algorithms for i.e. multidimensional image processing and signal processing, and some can be useful to analyze raster layers.
Includes raster filters such as:
- binary/grey morphology (dilation, erosion, closing, opening; tophat etc.)
- principal component analysis (PCA)
- statistical filters (local variance, std, median, minimum, percentile etc.)
- edge detection (sobel, prewitt, gaussian magnitude etc.)
- convolution with a custom kernel (both, classic and FFT versions)
- sharpening with unsharp mask
- noise removal with Wiener filter
- blurring (gaussian, box filter etc.)
- Pixel statistics (std, mean, min ... of all bands for individual pixels)
- Get no data mask, apply no data mask (i.e. set cells to no data)
- fill no data cells of all bands with value, band mean or minimum, maximum or central value of the data type
Most filters are based on scipy.ndimage, a library to filter images (or arrays, rasters) in n dimensions. These are either applied on each layer seperately in 2D, or in 3D on a 3D datacube consisting of all bands. In most cases, the plugin simply provides a user interface for a single SciPy function, gets the raster data using GDAL, calls the SciPy function with the provided parameters and loads the result back into QGIS. A few filters (PCA, unsharp mask, pixel statistics etc.) use custom functions that where implemented using SciPy and/or Numpy.
For many filters, a custom footprint and/or structure or kernel can be provided, adjusting the size and shape of the filter.
Python users get helpers.RasterWizard to quickly get the data of a raster layer as numpy array and the processing result back into QGIS as a new raster layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/florianneukirchen/scipy_filters]]></homepage>
        <file_name>scipy_filters.2.0.zip</file_name>
        <icon>/media/packages/2026/logo32.png</icon>
        <author_name><![CDATA[Florian Neukirchen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/scipy_filters/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[riannek]]></uploaded_by>
        <create_date>2024-03-07T17:07:19.189305+00:00</create_date>
        <update_date>2026-03-13T17:36:52.074333+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/florianneukirchen/scipy_filters/issues]]></tracker>
        <repository><![CDATA[https://github.com/florianneukirchen/scipy_filters]]></repository>
        <tags><![CDATA[python,raster,filter,analysis,edge,principal components analysis,pca,image,smoothing,no data]]></tags>
        <downloads>13651</downloads>
        <average_vote>4.33304446370242</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SADI Processor" version="1.2.6" plugin_id="3298">
        <description><![CDATA[A plugin to Process Standardized Agricultural Drought Index.]]></description>
        <about><![CDATA[Welcome to SADI Processor! SADI Processor is your premier software tool for swiftly and accurately assessing the Standardized Agricultural Drought Index (SADI) in any region. Our user-friendly interface and robust features make it a breeze for farmers, policymakers, and researchers to understand drought conditions and their impact on agriculture. Key Features: Customized Analysis: Tailor your analysis by selecting your desired region, whether it&#x27;s a single farm or an entire watershed. Real-Time Data: Access up-to-date data satellites. SADI Calculation: Utilize our advanced algorithms to compute the Standardized Agricultural Drought Index, enabling easy comparison across regions and timeframes. Interactive Visualization: Explore historical trends and identify drought hotspots through intuitive maps . SADI Processor empowers users with the insights needed to mitigate agricultural losses and build resilience against drought.NOTE: google earth engine plugin required.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/john-ngugi/drought_indexer]]></homepage>
        <file_name>drought_indexer.1.2.6.zip</file_name>
        <icon>/media/packages/2024/icon_uiSWcTU.png</icon>
        <author_name><![CDATA[John Ngugi, Dr. Godfrey Makokha, Bonface Odhiambo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/drought_indexer/version/1.2.6/download/</download_url>
        <uploaded_by><![CDATA[johnngugi]]></uploaded_by>
        <create_date>2024-03-08T08:06:35.099564+00:00</create_date>
        <update_date>2024-04-20T06:48:25.457255+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/john-ngugi/drought_indexer]]></tracker>
        <repository><![CDATA[https://github.com/john-ngugi/drought_indexer]]></repository>
        <tags><![CDATA[python,satellite,index,drought,drought index,johnngugi0407@gmail.com,makokha.godfrey@ttu.ac.ke,taita taveta university,bonfaceodhiambo291@gmail.com,standardized,drought indexer]]></tags>
        <downloads>7011</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="easyPlugin" version="1.1.0" plugin_id="3300">
        <description><![CDATA[Plugin which creates a simple QGIS plugin templates ready for install, editing and testing]]></description>
        <about><![CDATA[easyPlugin is tool for beginner developers who started making plugins for QGIS.
Its logic based on existing plugin called PluginBuider and basically makes a zip-archive which can be installed as a plugin in QGIS. Plugin contains two tools: easyPlugin itself and Kolba - a tool for testing raw python plugin code and other scripts.
A detailed guide can be seen in github page or plugin website.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pavelpereverzev/easyPlugin]]></homepage>
        <file_name>easyPlugin.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_1EEbDFQ.png</icon>
        <author_name><![CDATA[Pavel Pereverzev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easyPlugin/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[kylsha]]></uploaded_by>
        <create_date>2024-03-10T22:11:39.905802+00:00</create_date>
        <update_date>2025-09-26T06:03:48.544574+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pavelpereverzev/easyPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/pavelpereverzev/easyPlugin]]></repository>
        <tags><![CDATA[template,development,plugin,module,wizard,kolba]]></tags>
        <downloads>2680</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Modular Layout Grid Guides" version="0.0.2" plugin_id="3302">
        <description><![CDATA[This plugin creates a modular layout grid for print layouts]]></description>
        <about><![CDATA[This plugin lets you create grids from layout guides for arranging items in a print layout.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ioalexei/modular_grid_builder]]></homepage>
        <file_name>modular_grid_builder.0.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_cORs5ms.png</icon>
        <author_name><![CDATA[Alexei Schwab]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/modular_grid_builder/version/0.0.2/download/</download_url>
        <uploaded_by><![CDATA[index]]></uploaded_by>
        <create_date>2024-03-11T12:41:47.322792+00:00</create_date>
        <update_date>2026-01-23T09:34:02.817250+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ioalexei/modular_grid_builder/issues]]></tracker>
        <repository><![CDATA[https://github.com/ioalexei/modular_grid_builder]]></repository>
        <tags><![CDATA[python,layout]]></tags>
        <downloads>2053</downloads>
        <average_vote>4.599080183963207</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Roll" version="0.6.5" plugin_id="3305">
        <description><![CDATA[Design and analysis of 3D seismic survey geometries]]></description>
        <about><![CDATA[&lt;p&gt;This plugin is intended to create and analyze 3D seismic survey geometries. It is dependent on the following Python packages:&lt;ul&gt;
&lt;li&gt;&lt;b&gt;debugpy&lt;/b&gt; (version 1.8.17) &lt;i&gt;if you want to debug GUI- and worker threads&lt;/i&gt; &lt;/li&gt;
&lt;li&gt;&lt;b&gt;numba&lt;/b&gt; (version 0.62.1) Not strictly required, but it &lt;i&gt;&lt;b&gt;significantly&lt;/b&gt;&lt;/i&gt; speeds up calculations&lt;/li&gt;
&lt;li&gt;&lt;b&gt;numpy&lt;/b&gt; (version 1.26.4) &lt;i&gt;should already be installed by QGIS installation&lt;/i&gt; &lt;/li&gt;
&lt;li&gt;&lt;b&gt;pyqtgraph&lt;/b&gt; (version 0.13.7) or higher&lt;/li&gt;
&lt;li&gt;&lt;b&gt;rasterio&lt;/b&gt; (version 1.4.1) &lt;/li&gt;
&lt;li&gt;&lt;b&gt;wellpathpy&lt;/b&gt; (version 0.5.2) &lt;/li&gt;&lt;/ul&gt;
&lt;p&gt;Please install these packages &lt;b&gt;first&lt;/b&gt;, using pip from the OSGeo4W command prompt (on Windows)
&lt;p&gt;Use &lt;b&gt;pip list&lt;/b&gt; to detect which packages and versions have already been installed. (E.g. numpy should already be installed)
&lt;p&gt;Start with installing rasterio (it has quite a few dependencies), followed by numba, pyqtgraph and wellpathpy in that order
&lt;p&gt;Usage: &lt;b&gt; python -m pip install {package_name}=={package_version}&lt;/b&gt;
&lt;p&gt;
&lt;p&gt;Whereby rasterio will install (requires) affine, attrs, certifi, chardet, charset-normalizer, click, click-plugins, cligj, and colorama
&lt;p&gt;And numba will install the llvmlite bindings for the llvm JIT compiler
&lt;p&gt;
&lt;p&gt;Please take note:&lt;ul&gt;
&lt;li&gt;Packages newer than those listed above may have bug fixes (nice) or incompatibilities (not so nice) &lt;/li&gt;
&lt;li&gt;Wellpathpy 0.5.2 solved a deprecation warning in 0.5.0, as a call to &#x27;import pkg_resources&#x27; has been removed &lt;/li&gt;
&lt;li&gt;The plugin has not (yet) been tested on Linux or macOS &lt;/li&gt;
&lt;li&gt;The plugin works best on a QHD Screen (2560 x 1440 pixels) or larger &lt;/li&gt;
&lt;li&gt;As of QGIS v3.32, High-DPI UI scaling issues have arisen. See the following discussion on GitHub &lt;a href=&quot;https://github.com/qgis/QGIS/issues/53898&quot;&gt;here&lt;/a&gt; &lt;/li&gt;
&lt;li&gt;As of version 3.34.6, QGIS upgraded Python from v3.9 to to v3.12 This speeds up calculations and solves some security issues.
But when &lt;i&gt;upgrading&lt;/i&gt; from an earlier QGIS version, it requires installing the above listed packages &lt;b&gt;&lt;i&gt;again.&lt;/b&gt;&lt;/i&gt; &lt;/li&gt;&lt;/ul&gt;
&lt;p&gt;
&lt;p&gt;As of version 0.4.6 the plugin is compatible with Qt6. Note that with Qt6 the High DPI scaling issues have been resolved
&lt;p&gt;As of version 0.6.3 the plugin is compatible with QGIS 4.0. Some numpy attribute names needed to be changed for NumPy 2.0
&lt;p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MrBeee/roll]]></homepage>
        <file_name>roll.0.6.5.zip</file_name>
        <icon>/media/packages/2026/icon_3Wr2w5S.png</icon>
        <author_name><![CDATA[Duijndam.Dev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/roll/version/0.6.5/download/</download_url>
        <uploaded_by><![CDATA[mrbeee]]></uploaded_by>
        <create_date>2024-03-13T14:57:47.103591+00:00</create_date>
        <update_date>2026-04-16T14:22:18.413758+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MrBeee/roll/issues]]></tracker>
        <repository><![CDATA[https://github.com/MrBeee/roll]]></repository>
        <tags><![CDATA[sps data,3d seismic,seismic survey design]]></tags>
        <downloads>10618</downloads>
        <average_vote>4.499550044995501</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Show Corona CAST by click" version="0.1" plugin_id="3306">
        <description><![CDATA[This plugin opens a webpage showing the Corona CAST map in the clicked coordinates on the canvas]]></description>
        <about><![CDATA[This tool extracts the coordinates of the canvas and opens Corona Cast webpage on the same coordinates.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ishibaro/CAST-corona-clicker/#readme]]></homepage>
        <file_name>CAST-corona-clicker.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_1s5b7XI.png</icon>
        <author_name><![CDATA[Ishiba RO]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CAST-corona-clicker/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[ihb8468]]></uploaded_by>
        <create_date>2024-03-14T11:38:27.724020+00:00</create_date>
        <update_date>2024-03-14T11:38:29.061719+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ishibaro/CAST-corona-clicker/issues]]></tracker>
        <repository><![CDATA[https://github.com/ishibaro/CAST-corona-clicker]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1262</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Estonian Oblique Aerial Photographs" version="1.0.0" plugin_id="3309">
        <description><![CDATA[Get the oblique aerial photographs of Estonia at the clicked location on the map]]></description>
        <about><![CDATA[Click on map to see oblique aerial photographs at that location of various years in Estonia. Photographs are provided by Estonian Land Board.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoportaal.maaamet.ee/est/Ruumiandmed/Kaldaerofotod-p633.html]]></homepage>
        <file_name>estonian-oblique-aerial-photographs-release.1.0.0.zip</file_name>
        <icon>/media/packages/2024/icon_YS81zl4.png</icon>
        <author_name><![CDATA[Estonian Land and Spatial Development Board]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/estonian-oblique-aerial-photographs-release/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[kirken]]></uploaded_by>
        <create_date>2024-03-18T09:36:14.892518+00:00</create_date>
        <update_date>2024-03-18T09:36:16.245584+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://koodivaramu.eesti.ee/maa-ja-ruumiamet/qgis-plugins/estonian-oblique-aerial-photographs/-/issues]]></tracker>
        <repository><![CDATA[https://koodivaramu.eesti.ee/maa-ja-ruumiamet/qgis-plugins/estonian-oblique-aerial-photographs]]></repository>
        <tags><![CDATA[remote sensing,webservice,streetview,estonia,aerial photographs]]></tags>
        <downloads>1617</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geo Cluster" version="0.1" plugin_id="3310">
        <description><![CDATA[This plugin allows you to cluster different territorial scopes.]]></description>
        <about><![CDATA[The Geo Cluster Plugin allows users to extract two different clusters, as well as their overlapping portions. The procedure envisages the creation of a hexagonal mesh grid. Together with the plugin the user’s manual is provided. GeoDa Software needed, but not mandatory. (https://geodacenter.github.io/download.html)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.centroplaneco.it/]]></homepage>
        <file_name>geocluster.0.1.zip</file_name>
        <icon>/media/packages/2024/icona_plugin.png</icon>
        <author_name><![CDATA[Federico Falasca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocluster/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[federico]]></uploaded_by>
        <create_date>2024-03-18T11:04:43.117159+00:00</create_date>
        <update_date>2024-03-18T11:04:44.643873+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Federico20221/Geo-Cluster-Plugin/issues]]></tracker>
        <repository><![CDATA[https://plugins.qgis.org/plugins/]]></repository>
        <tags><![CDATA[vector]]></tags>
        <downloads>2026</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Compare_attributes" version="1.0" plugin_id="3311">
        <description><![CDATA[Compare Attributes]]></description>
        <about><![CDATA[The Compare_attributes plugin is a tool developed for QGIS that allows users to compare two Shapefiles and extract features with corresponding attributes. With an intuitive interface, this plugin simplifies the process of comparing and extracting geospatial data in the QGIS environment. Effectively handles different types of data in selected columns, ensuring accurate comparisons even with different data types In addition to features with corresponding attributes, the plugin also allows the extraction of features that have unique attributes in relation to the other Shapefile]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MatheusOliveiraFreitas/compare_attributes]]></homepage>
        <file_name>compare_attributes.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_lztbzem.png</icon>
        <author_name><![CDATA[Matheus Oliveira de Freitas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/compare_attributes/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[matheus303]]></uploaded_by>
        <create_date>2024-03-18T11:36:46.324215+00:00</create_date>
        <update_date>2024-09-17T18:19:41.494255+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MatheusOliveiraFreitas/compare_attributes/issues]]></tracker>
        <repository><![CDATA[https://github.com/MatheusOliveiraFreitas/compare_attributes]]></repository>
        <tags><![CDATA[vector,feature,python,shapefile,attribute table,layers]]></tags>
        <downloads>4554</downloads>
        <average_vote>4.166319473377219</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MitiConnect" version="1.0.3" plugin_id="3312">
        <description><![CDATA[MitiConnect integrates ecological connecitivy in mitigation hierarchy based on landscape graphs.]]></description>
        <about><![CDATA[MitiConnect integrates ecological connecitivy in mitigation hierarchy based on landscape graphs. Using Graphab tool and its dedicated QGIS plugin graphab4qgis, MitiConnect eases the definition of mitigation scenarios through its user-friendly interface. User can prepare data, define target species ecological parameters such as dispersal capacities, creates new scenarios by stacking landuse modifications, and manages all treatments from MitiConnect interface.
MitiConnect has been developped by Mathieu Chailloux based on Simon Tarabon (Ubiquiste) thesis work on an original idea from Jennifer Amsallem (INRAE). Work has been funded by the French ecological network resource center and French ministry of ecology.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MathieuChailloux/MitiConnect/blob/main/README.md]]></homepage>
        <file_name>MitiConnect.1.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_WYYw5ZF.png</icon>
        <author_name><![CDATA[Mathieu Chailloux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MitiConnect/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[mc]]></uploaded_by>
        <create_date>2024-03-18T14:18:09.850978+00:00</create_date>
        <update_date>2025-11-28T17:36:24.346980+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MathieuChailloux/MitiConnect/issues]]></tracker>
        <repository><![CDATA[https://github.com/MathieuChailloux/MitiConnect]]></repository>
        <tags><![CDATA[landscape,graph,connectivity,graphab,ecologocial,hierarchy,connexity,mitigation,continuities]]></tags>
        <downloads>4248</downloads>
        <average_vote>4.2995700429957004</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OrfeoToolbox Provider" version="3.0.3" plugin_id="3313">
        <description><![CDATA[OrfeoToolbox Processing provider.]]></description>
        <about><![CDATA[Use OrfeoToolbox applications inside QGis.
This plugin needs a quick setup to work with your OTB installation.
Setup instructions are available on OTB Cookbook (https://www.orfeo-toolbox.org/CookBook/QGISInterface.html).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.orfeo-toolbox.org/]]></homepage>
        <file_name>orfeoToolbox_provider.3.0.3.zip</file_name>
        <icon>/media/packages/2024/providerOtb_HOdSQEF.svg</icon>
        <author_name><![CDATA[CSGroup and CNES]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/orfeoToolbox_provider/version/3.0.3/download/</download_url>
        <uploaded_by><![CDATA[orfeotb]]></uploaded_by>
        <create_date>2024-03-18T17:31:12.110368+00:00</create_date>
        <update_date>2024-04-30T14:19:01.483633+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb-qgis-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb-qgis-plugin]]></repository>
        <tags><![CDATA[vector,raster,analysis,processing,provider,orfeotoobox,otb]]></tags>
        <downloads>46306</downloads>
        <average_vote>4.746412022365882</average_vote>
        <rating_votes>71</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Power Pin PL" version="1.1" plugin_id="3315">
        <description><![CDATA[Plugin eksportuje pinezkę do serwiów typu geoportal. Pin to popular polish and world maps portal. Plugin export pin to popular geoportal like serives]]></description>
        <about><![CDATA[PL: Wtyczka służy do otwierania portali mapowych w stylu geoportalu po przez wskazanego pinezką miejsca.
EN: The plugin is used to open map portals in the geoportal style by indicating a location with a pin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/Rzezimioszek]]></homepage>
        <file_name>power_pin.1.1.zip</file_name>
        <icon>/media/packages/2026/map512_yG2xQGg.png</icon>
        <author_name><![CDATA[Łukasz Świątek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/power_pin/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[rzezimioszek]]></uploaded_by>
        <create_date>2024-03-19T08:29:53.344646+00:00</create_date>
        <update_date>2026-03-22T14:14:29.387372+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rzezimioszek/QGIS-style-exporter/issues]]></tracker>
        <repository><![CDATA[http://github.com/Rzezimioszek/QGIS-power-pin]]></repository>
        <tags><![CDATA[python,openstreetmap,osm,google maps,streetview,geoportal,c-geo,geoportal360,pin,polskie serwisy mapowe,geoportal2,power pin,e-mapa]]></tags>
        <downloads>11450</downloads>
        <average_vote>4.666355576294914</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MongoDB Layer" version="1.3.0" plugin_id="3316">
        <description><![CDATA[This plugin gives the possibility to create a layer from MongoDB datasource]]></description>
        <about><![CDATA[The QGIS MongoDB Layer plugin facilitates seamless integration between QGIS
and MongoDB databases, enabling users to create layers directly from MongoDB datasources with ease.
Users can select databases, collections, and geometry fields effortlessly,
import documents as features, and apply filters for dataset refinement.
The plugin supports various geometry types and formats, intelligently handles nested geometries,
and allows retrieval of a mix of multi and simple geometries from the same collection.
Asynchronous loading ensures faster layer loading times, enhancing productivity and
efficiency in spatial data analysis workflows.

Requirements: QGIS 3.0+ and Python 3.7+

If there is any problem, don&#x27;t hesitate to report and/or contribute for bugs or missing features.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rombru/mongodb_layer]]></homepage>
        <file_name>mongodb_layer.1.3.0.zip</file_name>
        <icon>/media/packages/2024/icon_2FuQbeP.png</icon>
        <author_name><![CDATA[Romain Bruyère]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mongodb_layer/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[rombru]]></uploaded_by>
        <create_date>2024-03-19T18:50:57.479835+00:00</create_date>
        <update_date>2024-08-29T20:18:24.807234+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rombru/mongodb_layer/issues]]></tracker>
        <repository><![CDATA[https://github.com/rombru/mongodb_layer]]></repository>
        <tags><![CDATA[python,layer,database,mongodb]]></tags>
        <downloads>4249</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Flood Path Finder" version="1.0" plugin_id="3317">
        <description><![CDATA[Developed with Python by Emerson N. Santos - 2024]]></description>
        <about><![CDATA[This add-on/plugin was developed to identify road infrastructure in areas susceptible to flooding, classifying these roads according to their width and location in susceptible locations. (The algorithm works more reliably based on the layers of risk generated through the Hand Model methodology (Height Above the Nearest Drainage))]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/EmersonNog/plugin-flood-path-finder-qgis]]></homepage>
        <file_name>plugin-flood-path-finder-qgis.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_6RN0kL3.png</icon>
        <author_name><![CDATA[Nogueira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/plugin-flood-path-finder-qgis/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[9983]]></uploaded_by>
        <create_date>2024-03-21T14:29:45.997466+00:00</create_date>
        <update_date>2024-03-21T14:29:48.113399+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EmersonNog/plugin-flood-path-finder-qgis]]></tracker>
        <repository><![CDATA[https://github.com/EmersonNog/plugin-flood-path-finder-qgis]]></repository>
        <tags><![CDATA[python,analysis,flood]]></tags>
        <downloads>3047</downloads>
        <average_vote>2.7496562929633797</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AutoStyler" version="1.1" plugin_id="3320">
        <description><![CDATA[Apply QML style files to new layers.
QML files are stored in {qgis_home}\Styles directory.
QML files will be applied to a vector layer when the QML file&#x27;s basename
is found as a substring of the new layer&#x27;s name.
QML files will be applied to a raster layer when the QML file&#x27;s label token
is found as a substring of the new layer&#x27;s name. The label token is raster_style_{label}.qml.]]></description>
        <about><![CDATA[This plugin was developed by Black Tusk Geophysics (BTG) for use with their projects.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/btgeophysics/QGISPlugins]]></homepage>
        <file_name>AutoStyler.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[BTG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AutoStyler/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[btggtb]]></uploaded_by>
        <create_date>2024-03-22T20:21:47.529873+00:00</create_date>
        <update_date>2024-03-22T22:32:22.901371+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/btgeophysics/QGISPlugins/issues]]></tracker>
        <repository><![CDATA[https://github.com/btgeophysics/QGISPlugins]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>3971</downloads>
        <average_vote>3.0996900309969004</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RioGIS 2" version="0.5.3" plugin_id="3322">
        <description><![CDATA[RioGIS offline]]></description>
        <about><![CDATA[This Exports attributes of a given feature to a config text file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/vavpp/riogisoffline]]></homepage>
        <file_name>riogisoffline.0.5.3.zip</file_name>
        <icon>/media/packages/2025/icon_OzQFC4b.png</icon>
        <author_name><![CDATA[Vann og Avløpsetaten Oslo kommune]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/riogisoffline/version/0.5.3/download/</download_url>
        <uploaded_by><![CDATA[paalped]]></uploaded_by>
        <create_date>2024-03-25T12:31:25.496228+00:00</create_date>
        <update_date>2025-04-09T10:40:25.644842+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vavpp/riogisoffline/issues]]></tracker>
        <repository><![CDATA[https://github.com/vavpp/riogisoffline]]></repository>
        <tags><![CDATA[vector,attribute,export,table,txt]]></tags>
        <downloads>20432</downloads>
        <average_vote>4.4541405326788475</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Mirror View" version="1.0" plugin_id="3324">
        <description><![CDATA[Add one or more panels synchronized with the main panel.]]></description>
        <about><![CDATA[Add one or more panels synchronized with the main panel.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_mirror_view]]></homepage>
        <file_name>cigeoe_mirror_view_no_git.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_krAo5nI.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_mirror_view_no_git/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2024-03-25T13:31:30.769813+00:00</create_date>
        <update_date>2024-03-25T13:31:32.201710+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_mirror_view/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_mirror_view]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>1909</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoZone" version="1.0.2" plugin_id="3325">
        <description><![CDATA[QGIS Plugin for adding and modifying zone data in compliance with the GeoZone schema, facilitating sharing with partners or uploading to a central web repository.]]></description>
        <about><![CDATA[This project is designed to support initiatives conforming to the Terrestrial Code Chapter on Zoning and Compartmentalisation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geozone.izsvenezie.it/]]></homepage>
        <file_name>geozone.1.0.2.zip</file_name>
        <icon>/media/packages/2024/logo_5ZUHqWo.png</icon>
        <author_name><![CDATA[Mirco Cazzaro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geozone/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[mmazzucato]]></uploaded_by>
        <create_date>2024-03-26T09:14:19.684063+00:00</create_date>
        <update_date>2024-07-05T11:51:08.144403+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IZSVenezie/geozone/issues]]></tracker>
        <repository><![CDATA[https://github.com/IZSVenezie/geozone]]></repository>
        <tags><![CDATA[zones,veterinary,diseases,terrestrial animal health code]]></tags>
        <downloads>1945</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NDVI and EVI Index Calculator" version="0.4" plugin_id="3326">
        <description><![CDATA[This plugin calculates NDVI and EVI index from Sentinel 2 B02, B04 and B08 Bands.]]></description>
        <about><![CDATA[This plugin was developed for calculating NDVI and EVI index from Sentinel 2 satellite images (preferably downloaded via Copernicus Browser – B02, B04 and B08 bands). It is expected (partially tested) to work with georeferenced drone images as well, as long as image names contain recognizable date string. This plugin is designed to produces NDVI and EVI index TIFF rasters that are going to be used as an input layers for new QGIS plugin (NDVI to Variable Nitrogen Application Map - alredy made available in QGIS repository) capable of producing site-specific variable nitrogen application maps based on site-specific index values (Precision Agriculture).
Minimal data set for testing can be found in GitHub repository which is homepage of this plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></homepage>
        <file_name>ndvi_and_evi_index_calculator.0.4.zip</file_name>
        <icon>/media/packages/2024/icon_FagfBWj.png</icon>
        <author_name><![CDATA[Emir Memic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ndvi_and_evi_index_calculator/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[memicemir]]></uploaded_by>
        <create_date>2024-03-27T05:26:06.590823+00:00</create_date>
        <update_date>2024-09-15T08:58:45.107958+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></tracker>
        <repository><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>10070</downloads>
        <average_vote>4.899510048995101</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multifilter" version="1.0" plugin_id="3327">
        <description><![CDATA[Filter multiple layers]]></description>
        <about><![CDATA[Set the same filter on mulitple selected layers in a project

&lt;b&gt;Usage&lt;/b&gt;
Select the layers to be filtered in the dropdown list and press the + button. Type in a filter expression in the text box and press &quot;Filter&quot;. The same filter will be set on all layers, any existing filter will be removed.

Select a layer and press the &#x27;-&#x27; button to remove the layer from the list, this will not change the filter status for the layer.

Press &#x27;Clear&#x27; to remove the filter on all listed layers, this will leave the layers unfiltered and not restore any earlier filter.

Press the &#x27;C&#x27;-button to add the filter from the selected layer into the filter box. If there is any filter description in the box when this is done, the resulting filter will probably be invalid, as they should be chained together with an &#x27;and&#x27;, &#x27;or&#x27; or similar if both parts are to be used.

Press &#x27;Q&#x27; to run the query editor on the selected layer. That layer will be filtered and the filter expression copied to the filter edit box. Press &#x27;Filter&#x27; to apply that filter to all selected layers.

The settings in the dialog will be stored in the active project.

The plugin is not checking the filter in any way. At least for a layer from Postgis or temporary scratch layers, there will be an error message if a wrong field name is given, for some other types of layers, it will fail quietly and not return any data. Tip: Set the filter on one of the layers using the normal filtering dialog and copy the filter. A layer that has no items left when filtere will be marked in orange. Any layers on which the filter is detected to fail will be marked in red.

The list is just the names of the layers as when they are added. If the layer name is changed later on, this will not be reflected. To update this, remove and re-add the layer or close and reopen the project. The filtering is based on the layer id and will work with the original layer.

If a layer is not found when filtering, it will get marked with a gray background]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/sickel/multi_filter]]></homepage>
        <file_name>multi_filter.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_MrF30gZ.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/multi_filter/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2024-03-27T06:49:01.038761+00:00</create_date>
        <update_date>2024-04-15T19:55:24.113996+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/sickel/multi_filter]]></tracker>
        <repository><![CDATA[http://github.com/sickel/multi_filter]]></repository>
        <tags><![CDATA[vector,filter]]></tags>
        <downloads>3970</downloads>
        <average_vote>4.272338878283793</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="On-the-Fly-Shortest-Path" version="1.3.1" plugin_id="3329">
        <description><![CDATA[Interactively find shortest path between points over a line network and calculate the Fiber Loss Budget of a fiber optic network (backbone or FTTH)]]></description>
        <about><![CDATA[The &quot;On-the-Fly Shortest Path&quot; plugin offers an interactive measurement of distances along a line network, operating directly on the map. It calculates Distance and the Fiber Loss Budget in fiber optic networks. The plugin uses the core Network Analysis library of QGIS in order to calculate the shortest path via the Dijkstra algorithm. Subsequently, it calculates the fiber loss of this path, considering several configured parameters (connector loss, splice loss, fiber attenuation, splitters etc.). In contrast to similar algorithms of the Processing toolbox, this plugin does not create a new layer for every measurement but rather presents the path and the calculated parameters directly on screen. This functionality is similar to the original RoadGraph plugin of QGIS2. In addition, the plugin allows the setting of optional middle points, forcing the path to go first from the start point to each one of the  middle points and finally to the end point. This is helpful in networks with multiple paths between the start and stop point where the user wants to direct the algorithm to use a preferred path.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://fryktoria.github.io/On-the-Fly-Shortest-Path/]]></homepage>
        <file_name>On-the-Fly-Shortest-Path.1.3.1.zip</file_name>
        <icon>/media/packages/2024/logo_Wqjzdfg.png</icon>
        <author_name><![CDATA[Ilias Iliopoulos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/On-the-Fly-Shortest-Path/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[fryktoria]]></uploaded_by>
        <create_date>2024-03-27T17:06:29.223922+00:00</create_date>
        <update_date>2024-07-05T09:00:08.264541+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fryktoria/On-theFly-Shortest-Path/issues]]></tracker>
        <repository><![CDATA[https://github.com/fryktoria/On-theFly-Shortest-Path]]></repository>
        <tags><![CDATA[network analysis,shortest path,dijkstra,graph analysis,fiber,ftth,fiber attenuation,loss budget,roadgraph plugin,distance measurement,power budget]]></tags>
        <downloads>9139</downloads>
        <average_vote>4.461195292669795</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dynamic Flow" version="0.1" plugin_id="3330">
        <description><![CDATA[Dynamic Flow is a qgis plugin to estimate the spatio-temporal 3D gradient flow from the point observation of the attributes values such as aggregated cell-phone mobility data.]]></description>
        <about><![CDATA[Dynamic Flow is a qgis plugin to estimate the spatio-temporal 3D gradient flow from the point observation of the attributes values such as aggregated cell-phone mobility data. The algorithm was based on the image-processing techniques which provided a two-step 3D gradient method to extract the movement features. The first step is to estimate the initial movement pattern in each spatiotemporal grid, and then to estimate the accumulated movement pattern within a time period around a geographical grid. This method can be applied adaptively to multi-scale spatiotemporal grid data. Using geospatial visualization methods, estimated motion characteristics such as velocity and flow direction can be made intuitive and integrated with other multiscale geospatial data.

The introduction of the algorithm: Bo-Cheng Lin, Ta-Chien Chan*, 2022, “Visualizing Population Mobility from Spatio-temporally Aggregated Mobile Phone Data via a 3D Gradient Approach”, TRANSACTIONS IN GIS, https://doi.org/10.1111/tgis.13008

The tutorial data: Bergroth, C., Järv, O., Tenkanen, H., Manninen, M., Toivonen, T., 2022. A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland. Scientific Data 9, 39. https://doi.org/10.1038/s41597-021-01113-4 (https://zenodo.org/records/4726996)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/chanyu020816/QGIS-Plugin-DynamicFlow]]></homepage>
        <file_name>dynamic_flow.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_Hyaivj0.png</icon>
        <author_name><![CDATA[Bo-Cheng Lin, Chen-Yu Liu, Ta-Chien Chan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dynamic_flow/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[chenyu020816]]></uploaded_by>
        <create_date>2024-03-29T10:36:39.832196+00:00</create_date>
        <update_date>2024-03-29T10:36:41.800779+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chanyu020816/QGIS-Plugin-DynamicFlow/issues]]></tracker>
        <repository><![CDATA[https://github.com/chanyu020816/QGIS-Plugin-DynamicFlow]]></repository>
        <tags><![CDATA[python,flow]]></tags>
        <downloads>1959</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NDVI to Variable Nitrogen Application Map" version="0.9" plugin_id="3331">
        <description><![CDATA[This plugin was developed for producing variable nitrogen application maps based on index (e.g. NDVI, EVI) values.]]></description>
        <about><![CDATA[This open-source plugin was developed (for educational purposes) initially for producing variable nitrogen application maps based on site-specific variablity of NDVI (EVI) index values in satelite (or drone) images. Additionally user can produce yield potential maps based on index values. Some options are still being tested. In case of any issues or IMPROVMENT recommendations, please contact the author!

Minimal data set for testing can be found in GitHub repository which is homepage of this plugin.

At the same GitHub repository in the pdf document &quot;QGIS Plugin - NDVI to Variable Nitrogen Application Map.pdf&quot; detailed description of specific options can be found!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></homepage>
        <file_name>ndvi_to_variable_nitrogen_application_map.0.9.zip</file_name>
        <icon>/media/packages/2025/icon_My4jHaH.png</icon>
        <author_name><![CDATA[Emir Memic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ndvi_to_variable_nitrogen_application_map/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[memicemir]]></uploaded_by>
        <create_date>2024-03-29T11:19:12.963430+00:00</create_date>
        <update_date>2025-01-21T12:46:56.227913+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></tracker>
        <repository><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8040</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Indonesian Multi-scaled Grid System" version="1.1" plugin_id="3333">
        <description><![CDATA[This plugin automate the determination of Indonesia&#x27;s Environmental Support and Capacity.]]></description>
        <about><![CDATA[IMSGS is a QGIS plugin that provides comprehensive support for calculating, mapping, and analyzing in a data-driven framework. The main objective of IMSGS is to provide automation of the determination of Indonesia&#x27;s Environmental Support and Capacity in compliance with the national guidelines of the Ministry of Environment and Forestry.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alshaadiq/IMSGS-QGIS-Plugin.git]]></homepage>
        <file_name>IMSGS-QGIS-Plugin-main2.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_pBz8WmU.png</icon>
        <author_name><![CDATA[Dr. Akhmad Riqqi, M.Si., Dr. Albertus Deliar, S.T., M.T., Ir. Agung Budi Harto, M.Sc., Ph.D., Dr. Riantini Virtriana, S.T., M.T., Irwanto, Muhammad Usman Alshaadiq, Mutia Hendriani Putri, Rania Altairatri Evelina Brawijaya]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/IMSGS-QGIS-Plugin-main2/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[mutiahendriani]]></uploaded_by>
        <create_date>2024-03-31T17:54:05.044028+00:00</create_date>
        <update_date>2024-06-14T09:48:46.511628+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alshaadiq/IMSGS-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/alshaadiq/IMSGS-QGIS-Plugin.git]]></repository>
        <tags><![CDATA[water,grid,environmental,population,food,carrying capacity]]></tags>
        <downloads>3446</downloads>
        <average_vote>4.458147577184284</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Japan GSI Point Collector" version="0.1" plugin_id="3336">
        <description><![CDATA[This plugin collects xyz points from gsi website. The selection should be within Japan boundary.]]></description>
        <about><![CDATA[This plugin collects xyz points from gsi website. The selection should be within Japan boundary.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nirmaljoshi1/JapanGSIPointCollector]]></homepage>
        <file_name>JapanGSIPointCollector.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_vuIXrXm.png</icon>
        <author_name><![CDATA[Nirmal Raj Joshi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/JapanGSIPointCollector/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[nirmaljoshi]]></uploaded_by>
        <create_date>2024-04-01T09:02:35.831751+00:00</create_date>
        <update_date>2024-04-01T09:02:37.291718+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nirmaljoshi1/JapanGSIPointCollector]]></tracker>
        <repository><![CDATA[https://github.com/nirmaljoshi1/JapanGSIPointCollector]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1401</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spatial Analyzer" version="0.1.7" plugin_id="3337">
        <description><![CDATA[Spatial Analysis Tools]]></description>
        <about><![CDATA[Spatial Analyzer provides several spatial analysis tools including:&lt;/br&gt;1. spatial central tendency&lt;/br&gt; - mean center&lt;/br&gt; - median center&lt;/br&gt; - central feature&lt;/br&gt;&lt;/br&gt;2. spatial dispersion&lt;/br&gt; - standard distance&lt;/br&gt; - standard deviation ellipse&lt;/br&gt;&lt;/br&gt;3. cluster analysis&lt;/br&gt; - k-mean&lt;/br&gt; - hierarchial&lt;/br&gt; - DBscan&lt;/br&gt;&lt;/br&gt;4. spatial regression&lt;/br&gt; - geographically weighted regression&lt;/br&gt;&lt;/br&gt;5. dimensionality reduction&lt;/br&gt; - principal component analysis (PCA)&lt;/br&gt; - t-distributed stochastic neighbor embedding (t-SNE)&lt;/br&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sospatial1.blogspot.com/]]></homepage>
        <file_name>spatial_analysis.0.1.7.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Lai Taps]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spatial_analysis/version/0.1.7/download/</download_url>
        <uploaded_by><![CDATA[djpaek]]></uploaded_by>
        <create_date>2024-04-01T16:01:35.079435+00:00</create_date>
        <update_date>2025-11-10T05:32:19.748911+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/so-spatial1/spatial-analyzer/issues]]></tracker>
        <repository><![CDATA[https://github.com/so-spatial1/spatial-analyzer]]></repository>
        <tags><![CDATA[pca,cluster,standard distance,median center,mean center,accumulated mean center,central feature,t-sne,standard deviation ellipse,geographically weighted regression]]></tags>
        <downloads>16274</downloads>
        <average_vote>4.703529498907447</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RRR-reader" version="0.5" plugin_id="3338">
        <description><![CDATA[Reads RRR files]]></description>
        <about><![CDATA[Reads CTBTO OSI &quot;Revised Radionuclide Report&quot; files]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/rrr-reader]]></homepage>
        <file_name>rrrReader.0.5.zip</file_name>
        <icon>/media/packages/2024/icon_Y4LJDuT.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rrrReader/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2024-04-02T09:05:08.704027+00:00</create_date>
        <update_date>2024-04-02T09:05:10.385611+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/rrr-reader]]></tracker>
        <repository><![CDATA[https://github.com/sickel/rrr-reader]]></repository>
        <tags><![CDATA[data loader,radionuclides]]></tags>
        <downloads>1120</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="landXMLtoDB_Free" version="1.1" plugin_id="3340">
        <description><![CDATA[Provides LandXML to Database tools, etc, storing to PostGIS initially, later to Oracle and MS SQL.]]></description>
        <about><![CDATA[Thanks to Chris Cook, LINZ.
*** NOTE *** This plugin will crash on initial download as there are missing Python Connectors to the databases.
*** Download the Plugin - open the .HTML in the plugin folder for User and Installation instructions. ***
*** Install Python Database Connectors: psycopg2, oracledb, pyodbc,{Devart ODBC Driver for Oracle},{Devart ODBC Driver for SQL Server} ***
*** On Ubuntu, run: pip3 install -U psycopg2 oracledb pyodbc ***
The LandXml format is an Xml format used to transfer cadastral survey data.
The format can describe cadastral survey parcels, nodes, and observations.
This plugin is used to extract information from a LandXml data file into PostGIS tables.
Currently it supports parcels and nodes, and observations.
The plugin supports LXML Files from around Australia and New Zealand, and abroad as samples are provided.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SpatialTapestry/QGIS-Plugin---LandXML-to-Database]]></homepage>
        <file_name>landXMLtoDB.1.1.zip</file_name>
        <icon>/media/packages/2025/tapestry.png</icon>
        <author_name><![CDATA[Roger Merritt, Spatial Tapestry PL]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/landXMLtoDB/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[spatialtapestry]]></uploaded_by>
        <create_date>2024-04-05T05:23:08.741597+00:00</create_date>
        <update_date>2025-01-08T07:56:59.335617+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SpatialTapestry/QGIS-Plugin---LandXML-to-Database/issues]]></tracker>
        <repository><![CDATA[https://github.com/SpatialTapestry/QGIS-Plugin---LandXML-to-Database]]></repository>
        <tags><![CDATA[vector,python,postgis,oracle,landxml,ms sql,data migration,two point transformation,rubber sheeting]]></tags>
        <downloads>3423</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NextGIS OGRStyle" version="0.3.0" plugin_id="3341">
        <description><![CDATA[Capture OGR Style in ONE click to paste them into a spreadsheet]]></description>
        <about><![CDATA[Сapture OGR Style in exactly one click for immediate pasting into a spreadsheet, as simple as it gets. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nextgis.com]]></homepage>
        <file_name>qgis_ogrstyle.0.3.0.zip</file_name>
        <icon>/media/packages/2024/cursor_DGGSPoG.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_ogrstyle/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2024-04-05T10:35:18.702850+00:00</create_date>
        <update_date>2024-11-19T14:37:16.310414+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_ogrstyle/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_ogrstyle]]></repository>
        <tags><![CDATA[style,copy style]]></tags>
        <downloads>3418</downloads>
        <average_vote>3.6660556573904346</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="eMapTools" version="1.1.5" plugin_id="3342">
        <description><![CDATA[This plugin propose retention trees and riparian buffer zones based on ecological values]]></description>
        <about><![CDATA[This plugin propose retention trees and riparian buffer zones based on ecological values]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.26.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MikkoKesala]]></homepage>
        <file_name>eMapTools.1.1.5.zip</file_name>
        <icon>/media/packages/2025/emap2_uWxR3DG.png</icon>
        <author_name><![CDATA[Mikko Kesälä]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eMapTools/version/1.1.5/download/</download_url>
        <uploaded_by><![CDATA[8890]]></uploaded_by>
        <create_date>2024-04-05T12:47:17.703839+00:00</create_date>
        <update_date>2025-05-22T12:38:39.689748+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MikkoKesala/eMapTools/issues]]></tracker>
        <repository><![CDATA[https://github.com/MikkoKesala/eMapTools]]></repository>
        <tags><![CDATA[ecology,distance,flow,processing]]></tags>
        <downloads>5716</downloads>
        <average_vote>3.1661389768371935</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ActiveBreak" version="3" plugin_id="3344">
        <description><![CDATA[ActiveBreak is a plugin for QGIS that emits messages at the top of the canvas at time intervals from the start of work, reminding the user to take an active break, take their lunch and/or reminders indicating to save their QGIS project.]]></description>
        <about><![CDATA[ActiveBreak is a plugin for QGIS that emits messages at the top of the canvas at time intervals from the start of work, reminding the user to take an active break, take their lunch and/or reminders indicating to save their QGIS project, depending on the time the message is broadcast. Additionally, it offers the user inspiring quotes from personalities related to the business, scientific, artistic, spiritual, social, political world, etc.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/asardelli/ActiveBreak.git]]></homepage>
        <file_name>ActiveBreak.3.zip</file_name>
        <icon>/media/packages/2025/qgis_icon_active_break.png</icon>
        <author_name><![CDATA[Aldo Sardelli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ActiveBreak/version/3/download/</download_url>
        <uploaded_by><![CDATA[asardelli]]></uploaded_by>
        <create_date>2024-04-08T13:18:27.369026+00:00</create_date>
        <update_date>2025-01-03T18:24:49.575194+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/asardelli/ActiveBreak.git]]></tracker>
        <repository><![CDATA[https://github.com/asardelli/ActiveBreak.git]]></repository>
        <tags><![CDATA[python,qgis,qoiltools,user,activebreak]]></tags>
        <downloads>7644</downloads>
        <average_vote>4.260684318073127</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickWebViewer" version="0.5.2" plugin_id="3345">
        <description><![CDATA[Publish your QGIS project online as web map.]]></description>
        <about><![CDATA[An easy solution if you want to publish easily and with a low complexity infraestructure your QGIS maps. QuickWebViewer is a plugin that enables the online publication of maps created in QGIS through a simple three step process:

Step 1: Export mapset, export your qgis files (selecting your predefined themes)
Step 2: Export viewer, pack all your previous exports in a viewer
Step 3: Publish viewer, upload to your own server]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://quickwebviewer.org]]></homepage>
        <file_name>QuickWebViewer.0.5.2.zip</file_name>
        <icon>/media/packages/2026/icon_mC2tfJr.png</icon>
        <author_name><![CDATA[300000kms]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickWebViewer/version/0.5.2/download/</download_url>
        <uploaded_by><![CDATA[geraldo]]></uploaded_by>
        <create_date>2024-04-11T14:24:37.180405+00:00</create_date>
        <update_date>2026-04-16T07:42:40.608080+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/300000-kms/QuickWebViewer/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/300000-kms/QuickWebViewer]]></repository>
        <tags><![CDATA[vector,html,web,export,ftp,tiles,webmap,mbtiles,webmaps,vector tiles,mapbox,cog,publishing,maplibre,maplibre gl js]]></tags>
        <downloads>32516</downloads>
        <average_vote>4.103377527973656</average_vote>
        <rating_votes>58</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OD_LSA_Loader (Open Data Land Sachsen Anhalt Loader)" version="0.0.7" plugin_id="3346">
        <description><![CDATA[OD_LSA_Loader (Open Data Land Sachsen Anhalt Loader)]]></description>
        <about><![CDATA[Dieses Plugin ist veraltet und wird nicht mehr gepflegt! Als Nachfolger auch für weitere Bundesländer außer dem LSA steht seit 17. Mai 2024, 12:05 Uhr der GeoBasis Loader (https://plugins.qgis.org/plugins/GeoBasis_Loader) zur Verfügung.

Das Plugin vereinfacht das Einfügen der  WMS-/WFS-Dienste aus dem Open Data Portal des Landes Sachsen-Anhalt, LSA (https://www.lvermgeo.sachsen-anhalt.de/de/gdp-open-data.html) sowie von Hintergrundkarten (OSM, Basemap.de) zum aktuellen View. Als Bonus kann der WMS der Digitalen Stadtgrundkarte der Stadt Halle (Saale) eingebunden werden. Mehr Informationen zum OD_LSA_Loader auf https://geoobserver.de/od_lsa_loader/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoobserver.de/od_lsa_loader/]]></homepage>
        <file_name>OD_LSA_Loader.0.0.7.zip</file_name>
        <icon>/media/packages/2024/OD_LSA_Loader_icon_ZQ9jc9d.png</icon>
        <author_name><![CDATA[Mike Elstermann (#geoObserver)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OD_LSA_Loader/version/0.0.7/download/</download_url>
        <uploaded_by><![CDATA[geoobserver]]></uploaded_by>
        <create_date>2024-04-11T14:38:28.412053+00:00</create_date>
        <update_date>2024-04-25T13:53:40.881851+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/geoObserver/qgis-plugin-od-lsa-loader/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geoObserver/qgis-plugin-od-lsa-loader/]]></repository>
        <tags><![CDATA[wfs,wms,opendata]]></tags>
        <downloads>2335</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Skråfotos" version="2.0.1" plugin_id="3347">
        <description><![CDATA[Dette plugin laver opslag på Dataforsyningens Skråfotos]]></description>
        <about><![CDATA[Dette plugin laver opslag på Dataforsyningens Skråfotos udfra det punkt og den retning, som brugeren udpeger i kortkanvasset.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/styrke10/skraafotos]]></homepage>
        <file_name>skraafoto.2.0.1.zip</file_name>
        <icon>/media/packages/2026/skraafoto_7umHzuC.png</icon>
        <author_name><![CDATA[Morten Storm, Styrke 10 ApS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/skraafoto/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[mostorm]]></uploaded_by>
        <create_date>2024-04-15T13:43:08.017349+00:00</create_date>
        <update_date>2026-03-11T10:15:47.731422+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/styrke10/skraafotos/issues]]></tracker>
        <repository><![CDATA[https://github.com/styrke10/skraafotos]]></repository>
        <tags><![CDATA[python,danmark,dataforsyningen]]></tags>
        <downloads>7740</downloads>
        <average_vote>4.466368908739417</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PG service parser" version="0.10.0" plugin_id="3348">
        <description><![CDATA[View, edit or copy PG service entries]]></description>
        <about><![CDATA[View, edit or copy PG service entries for PostgreSQL connections]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis-pg-service-parser-plugin]]></homepage>
        <file_name>pg_service_parser.0.10.0.zip</file_name>
        <icon>/media/packages/2026/logo_UaHGnOG.png</icon>
        <author_name><![CDATA[OPENGIS.CH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pg_service_parser/version/0.10.0/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2024-04-17T13:47:16.499800+00:00</create_date>
        <update_date>2026-03-02T14:23:48.929676+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis-pg-service-parser-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis-pg-service-parser-plugin]]></repository>
        <tags><![CDATA[database,service,postgresql,db,connection,pgservice]]></tags>
        <downloads>10753</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Route Builder" version="0.1" plugin_id="3354">
        <description><![CDATA[&quot;Route Builder&quot; is a QGIS plugin with a set of tools that calculates shortest routes in street networks using data from OpenStreetMap (OSM) and using the A* (A Star) algorithm. Users can define a region, define origin and destination points (O/D) using the coordinates collected by the plugin, these coordinates of the nodes and thus calculate the shortest route between them.]]></description>
        <about><![CDATA[Route Builder was developed by Emerson N. Santos with the goal of providing a powerful and affordable tool for analyzing street networks in urban environments.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/EmersonNog/plugin-route-builder-qgis]]></homepage>
        <file_name>route_builder.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_nZ7WGfd.png</icon>
        <author_name><![CDATA[Nogueira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/route_builder/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[9983]]></uploaded_by>
        <create_date>2024-04-25T19:23:23.085886+00:00</create_date>
        <update_date>2024-04-25T19:23:24.533977+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EmersonNog/plugin-route-builder-qgis]]></tracker>
        <repository><![CDATA[https://github.com/EmersonNog/plugin-route-builder-qgis]]></repository>
        <tags><![CDATA[python,street,analyses,routes,astar algorithm]]></tags>
        <downloads>9836</downloads>
        <average_vote>4.192146455905542</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UDef-ARP Plugin" version="1.0" plugin_id="3355">
        <description><![CDATA[UDef-ARP for QGIS]]></description>
        <about><![CDATA[&lt;p&gt;This is a modified version of the UDef-ARP repository [&lt;a href=&quot;https://github.com/ClarkCGA/UDef-ARP&quot;&gt;github.com/ClarkCGA/UDef-ARP&lt;/a&gt;] that enables the tools to be fully integrated into QGIS as a plugin.&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ClarkCGA/UDef-ARP-Plugin]]></homepage>
        <file_name>UDef-ARP-Plugin.1.0.zip</file_name>
        <icon>/media/packages/2024/VCS.png</icon>
        <author_name><![CDATA[Eli Simonson, Yao-Ting Yao]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/UDef-ARP-Plugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[esimonson]]></uploaded_by>
        <create_date>2024-05-01T17:31:35.436596+00:00</create_date>
        <update_date>2024-05-01T17:31:36.980266+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ClarkCGA/UDef-ARP-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ClarkCGA/UDef-ARP-Plugin]]></repository>
        <tags><![CDATA[allocation,fit,deforestation,prediction,relative frequency]]></tags>
        <downloads>993</downloads>
        <average_vote>2.9992501874531365</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Luftbildfinder NRW" version="1.0.1" plugin_id="3358">
        <description><![CDATA[Find and display aerial images (German State of North Rhine-Westphalia) - Luftbilder finden und laden für NRW]]></description>
        <about><![CDATA[Remark:
This plugin loads aerial images for the German State of North Rhine-Westphalia, that&#x27;s why the plugin is only available in German language.

Mit diesem Tool können Luftbilder aus folgenden WMS von Geobasis NRW gefunden und geladen werden
- historische Luftbilder
- historische Luftbilder (iDOP)
- DOP
- iDOP
- vDOP]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kreis-viersen/luftbildfinder-nrw]]></homepage>
        <file_name>luftbildfinder-nrw.1.0.1.zip</file_name>
        <icon>/media/packages/2026/luftbildfinder-nrw_0pCwxQi.png</icon>
        <author_name><![CDATA[Kreis Viersen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/luftbildfinder-nrw/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[kreisviersen]]></uploaded_by>
        <create_date>2024-05-09T04:46:47.022054+00:00</create_date>
        <update_date>2026-03-03T10:04:52.371037+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kreis-viersen/luftbildfinder-nrw]]></tracker>
        <repository><![CDATA[https://github.com/kreis-viersen/luftbildfinder-nrw]]></repository>
        <tags><![CDATA[dop,nrw,idop,luftbilder,vdop,luftbild]]></tags>
        <downloads>5580</downloads>
        <average_vote>4.666277810182485</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="S2 Toolkit" version="0.3" plugin_id="3360">
        <description><![CDATA[Tools for the S2 Geometry.]]></description>
        <about><![CDATA[This plugin adds tools that let create S2 Geometry in QGIS processing provider.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ogpetrov/s2toolkit]]></homepage>
        <file_name>s2toolkit-main.0.3.zip</file_name>
        <icon>/media/packages/2024/s2_toolkit_logo.png</icon>
        <author_name><![CDATA[Mikhail Melnikov, Oleg Petrov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/s2toolkit-main/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[ogpetrov]]></uploaded_by>
        <create_date>2024-05-10T07:57:29.952371+00:00</create_date>
        <update_date>2024-06-05T13:49:12.706778+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ogpetrov/s2toolkit/issues]]></tracker>
        <repository><![CDATA[https://github.com/ogpetrov/s2toolkit]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2251</downloads>
        <average_vote>4.733017798813413</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Viper (QGIS snake clone)" version="0.1" plugin_id="3362">
        <description><![CDATA[Snake clone using vector layers and QGIS canvas]]></description>
        <about><![CDATA[Snake clone using vector layer geometries and QGIS canvas]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ViperMiniQ/Viper-QGIS-snake-clone]]></homepage>
        <file_name>Viper-QGIS-snake-clone-main.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_pZQMi0t.png</icon>
        <author_name><![CDATA[Viper MiniQ]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Viper-QGIS-snake-clone-main/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[viperminiq]]></uploaded_by>
        <create_date>2024-05-14T20:47:32.693133+00:00</create_date>
        <update_date>2024-05-14T20:47:35.175417+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ViperMiniQ/Viper-QGIS-snake-clone/issues]]></tracker>
        <repository><![CDATA[https://github.com/ViperMiniQ/Viper-QGIS-snake-clone]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1689</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Reverse Line" version="1.0" plugin_id="3366">
        <description><![CDATA[Reverses a selected line]]></description>
        <about><![CDATA[This plugin reverses the vertices order of a selected line.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_reverse_line]]></homepage>
        <file_name>cigeoe_reverse_line-.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_F2oF7KX.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_reverse_line-/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2024-05-21T14:48:29.853106+00:00</create_date>
        <update_date>2024-05-21T14:48:33.935066+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_reverse_line/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_reverse_line]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>1284</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Toggle Vertex Visibility" version="1.0" plugin_id="3367">
        <description><![CDATA[Toggle vertex&#x27;s marker visibility]]></description>
        <about><![CDATA[Toggle vertex&#x27;s marker visibility]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_toggle_vertex_visibility]]></homepage>
        <file_name>cigeoe_toggle_vertex_visibility_.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_oD3l92U.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_toggle_vertex_visibility_/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2024-05-22T09:38:11.704770+00:00</create_date>
        <update_date>2024-05-22T09:38:13.681783+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_toggle_vertex_visibility/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_toggle_vertex_visibility]]></repository>
        <tags><![CDATA[vector,layers,3d]]></tags>
        <downloads>1850</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CIGeoE Translate To Fit To Adjacent Polygon" version="1.0" plugin_id="3368">
        <description><![CDATA[Do a polygon translation to the nearest polygon, by making it coincide their nearest vertices]]></description>
        <about><![CDATA[Accidentally, one may do small polygons translations while operating over a vector layer. To reduce the time spent fixing such errors, this plugin, with a selection and a single click on the plugin&#x27;s icon, attempts to find the nearest polygon within a given threshold and does the translation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cigeoe/cigeoe_translate_to_fit_to_adjacent_polygon]]></homepage>
        <file_name>cigeoe_translate_to_fit_to_adjacent_polygon_.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_l57XYxD.png</icon>
        <author_name><![CDATA[Centro de Informação Geoespacial do Exército]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cigeoe_translate_to_fit_to_adjacent_polygon_/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cigeoe]]></uploaded_by>
        <create_date>2024-05-22T10:10:18.002421+00:00</create_date>
        <update_date>2024-05-22T10:10:19.640320+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cigeoe/cigeoe_translate_to_fit_to_adjacent_polygon/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cigeoe/cigeoe_translate_to_fit_to_adjacent_polygon]]></repository>
        <tags><![CDATA[vector,layers,nodes]]></tags>
        <downloads>1575</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Amazon Location Service" version="4.1.2" plugin_id="3371">
        <description><![CDATA[QGIS Plugin for Amazon Location Service]]></description>
        <about><![CDATA[This plugin uses the functionality of Amazon Location Service in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MIERUNE/qgis-amazonlocationservice-plugin]]></homepage>
        <file_name>location_service.4.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_Lbhu1cG.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/location_service/version/4.1.2/download/</download_url>
        <uploaded_by><![CDATA[dayjournal]]></uploaded_by>
        <create_date>2024-05-23T22:24:26.304490+00:00</create_date>
        <update_date>2026-03-11T15:03:37.795616+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/qgis-amazonlocationservice-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/qgis-amazonlocationservice-plugin]]></repository>
        <tags><![CDATA[map,geocoding,routing,amazonlocationservice,aws]]></tags>
        <downloads>6058</downloads>
        <average_vote>3.9998000099995</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UMap" version="1.0" plugin_id="3374">
        <description><![CDATA[This plugin enables any user to transform a stack of digital bathymetric data terrain models into a bathymetric community map.]]></description>
        <about><![CDATA[Bathymetric Community Map - This plugin enables any user to transform a stack of digital bathymetric data terrain models into a bathymetric community map.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://umap-iic.github.io/UMap/]]></homepage>
        <file_name>umap.1.0.zip</file_name>
        <icon>/media/packages/2024/UMap_Icon.PNG</icon>
        <author_name><![CDATA[IIC Technologies]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/umap/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[iicqgis]]></uploaded_by>
        <create_date>2024-05-28T18:57:12.505106+00:00</create_date>
        <update_date>2024-05-28T18:57:14.720310+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/umap-iic/UMap/issues]]></tracker>
        <repository><![CDATA[https://github.com/umap-iic/UMap]]></repository>
        <tags><![CDATA[map,community,bathymetry,soundings,depth areas]]></tags>
        <downloads>2499</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Stats By Polygon" version="1.0" plugin_id="3376">
        <description><![CDATA[This plugin creates plots for statistics of raster bands based on selected polygon feature.]]></description>
        <about><![CDATA[This plugin creates plots for statistics of raster bands based on selected polygon feature.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_stats_by_polygon_plugin/tree/main]]></homepage>
        <file_name>stats_by_polygon.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_P3UwABg.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/stats_by_polygon/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2024-05-30T12:50:22.789800+00:00</create_date>
        <update_date>2024-05-30T12:50:24.939055+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_stats_by_polygon_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_stats_by_polygon_plugin/tree/main/stats_by_polygon]]></repository>
        <tags><![CDATA[python,raster,stats,statistics]]></tags>
        <downloads>2213</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CompareClasseA" version="1.1" plugin_id="3378">
        <description><![CDATA[Compare two datasets of GPKG pointZ geometry based on french legislation formatting &quot;class A&quot;.]]></description>
        <about><![CDATA[# Compare Class A ## What is It ? This repository is the source code of a QGIS Plugin. ## How to Use ? This plugin can be downloaded on QGIS Plugin menu. Then run it. Select described inputs and press &quot;Ok&quot; ## What it does ? This plugin answer the following need: What is the distance error between two data set of points, representing a line, with differents sampling distances, different begining and end. ## Inputs - Point geometry Vector Layer as a reference - QGIS Expression to get the Z value - Select the Z value unit - Point geometry Vector Layer as a result to compare - QGIS Expression to get the Z value - Select the Z value unit If the layer reference CRS is not in meter, it will be projected on EPSG:3857. The layer result will be projected on the layer reference CRS if they are differents. ## Outputs - Display of a graph showing histogram of error formated to follow Class A Regulation system.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/vincentBenet/Compare-Classe-A]]></homepage>
        <file_name>CompareClasseA.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_ROissWn.png</icon>
        <author_name><![CDATA[Vincent Bénet]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CompareClasseA/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[vincentbenet]]></uploaded_by>
        <create_date>2024-05-30T22:35:44.863431+00:00</create_date>
        <update_date>2024-08-13T18:28:14.843493+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vincentBenet/Compare-Classe-A/issues]]></tracker>
        <repository><![CDATA[https://github.com/vincentBenet/Compare-Classe-A]]></repository>
        <tags><![CDATA[python,distance,compare]]></tags>
        <downloads>1240</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EDAC Tools" version="1.2" plugin_id="3379">
        <description><![CDATA[A toolbox containing various Python-based tools developed by the Earth Data Analysis Center (EDAC) at the University of New Mexico.]]></description>
        <about><![CDATA[This plugin requries the external libraries geopandas and shapley. The EDAC development team frequently creates Python tools for internal use. This project aims to share these tools with the broader community, providing solutions for various data analysis tasks. Additional tools will be added over time as they are developed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://edac.unm.edu/]]></homepage>
        <file_name>edactools.1.2.zip</file_name>
        <icon>/media/packages/2024/g4173-2.png</icon>
        <author_name><![CDATA[EDAC dev team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/edactools/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[habarrett]]></uploaded_by>
        <create_date>2024-05-31T03:11:30.300146+00:00</create_date>
        <update_date>2024-07-26T23:06:20.888737+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/edac/edactools/issues]]></tracker>
        <repository><![CDATA[https://github.com/edac/edactools]]></repository>
        <tags><![CDATA[vector,raster,ndvi,ndwi,evi,phenology,address parity,fishbone]]></tags>
        <downloads>2256</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Georeferencer Extension" version="4.0.0" plugin_id="3383">
        <description><![CDATA[Extension to the QGIS 3.x/4.x Georeferencer]]></description>
        <about><![CDATA[This is an extension to the QGIS 3.x/4.x Georeferencer. The main purpose of this extension is to save the georeferencing results in VRT files rather than just GeoTIFF.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cxcandid/GeorefExtension]]></homepage>
        <file_name>GeorefExtension.4.0.0.zip</file_name>
        <icon>/media/packages/2026/go.png</icon>
        <author_name><![CDATA[Christoph Candido]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeorefExtension/version/4.0.0/download/</download_url>
        <uploaded_by><![CDATA[cxcandid]]></uploaded_by>
        <create_date>2024-06-01T16:38:29.165621+00:00</create_date>
        <update_date>2026-04-11T09:06:26.788152+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cxcandid/GeorefExtension/issues]]></tracker>
        <repository><![CDATA[https://github.com/cxcandid/GeorefExtension]]></repository>
        <tags><![CDATA[raster,clip,gdal,georeferencing,vrt]]></tags>
        <downloads>280940</downloads>
        <average_vote>4.639737143673467</average_vote>
        <rating_votes>322</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Band Stacker" version="1.4" plugin_id="3384">
        <description><![CDATA[A plugin to stack bands from selected raster layers.  Part of MAS Raster Processing tools.]]></description>
        <about><![CDATA[A plugin to stack bands from selected raster layers.
Follow The Steps below;
1. Open your all bands in QGIS Interface or click on &#x27;Open Bands&#x27; button and open all band images which images are you wants to stack.
2. Click on &quot;Band Stacker&quot; tool (under &#x27;MAS Raster Processing&#x27; toolbox)
or &#x27;Raster&#x27; menu --&gt; &#x27;MAS Raster Processing&#x27; menu item --&gt; &#x27;Band Stacker&#x27;.
3. Re-arrange your bands using Move Up/Down button.
4. If you wants to open the output file after stacking, check mark on it.
5. Click on &quot;Stack Bands&quot; Button.
* Please give a vote (stars) according to your experiences, it will motivate me. If you required any other tools or plugins please contact with me &quot;mastools.help@gmail.com&quot;.
** MAS refer to my name &quot;Mirjan Ali Sha&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/band_stacker/wiki]]></homepage>
        <file_name>band_stacker.1.4.zip</file_name>
        <icon>/media/packages/2025/icon_ogwRit2.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/band_stacker/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2024-06-01T22:40:55.798747+00:00</create_date>
        <update_date>2025-06-14T19:04:41.601340+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/band_stacker/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/band_stacker]]></repository>
        <tags><![CDATA[raster,remote sensing,stacking,stack,image stacking,band stacking]]></tags>
        <downloads>6405</downloads>
        <average_vote>4.533182227259092</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="디지털트윈(DigitalTwin)" version="0.8" plugin_id="3386">
        <description><![CDATA[QGIS plugin for DigitalTwin]]></description>
        <about><![CDATA[The spatial information disclosed in the DigitalTwin can be used by users in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.egiscloud.com]]></homepage>
        <file_name>egiscloud.0.8.zip</file_name>
        <icon>/media/packages/2024/egis.png</icon>
        <author_name><![CDATA[egis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/egiscloud/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[egis]]></uploaded_by>
        <create_date>2024-06-03T02:15:38.495760+00:00</create_date>
        <update_date>2024-06-03T02:15:40.244152+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://www.egiscloud.com]]></tracker>
        <repository><![CDATA[https://github.com/iyeti78/qgis-dtcloud-plugin/tree/egis]]></repository>
        <tags><![CDATA[openlayers,wms,gis,egis]]></tags>
        <downloads>2215</downloads>
        <average_vote>3.714020427112349</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="trainminator2" version="2.0" plugin_id="3389">
        <description><![CDATA[Plugin de labellisation]]></description>
        <about><![CDATA[Outil de labellisation monodate ou bidate pour la segmentation sémantique et la détection du changement appliquée à la géomatique / télédétection.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/IGNF/trainminator]]></homepage>
        <file_name>trainminator-main.2.0.zip</file_name>
        <icon>/media/packages/2024/icon_AhlGQ70.png</icon>
        <author_name><![CDATA[IGN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/trainminator-main/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[chouette]]></uploaded_by>
        <create_date>2024-06-03T06:51:09.003729+00:00</create_date>
        <update_date>2024-06-03T06:51:11.278662+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IGNF/trainminator]]></tracker>
        <repository><![CDATA[https://github.com/IGNF/trainminator]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>685</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Pan Europeo" version="v1.0.0" plugin_id="3390">
        <description><![CDATA[Ponders very large and distinct rasters with different utility functions]]></description>
        <about><![CDATA[This plugin calculates a summary raster weighting very large and distinct rasters with different multi utility attribute functions, for the PanEuropeo project by fire2a(.com).
1.0.0 Features summing nodata values as 0, skip normalization phase, notifications for background tasks. Bugfixes on values on startup, bipiecewise formula]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.2</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://fire2a.github.io/qgis-pan-europeo]]></homepage>
        <file_name>pan_batido.v1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_bzJBgBL.png</icon>
        <author_name><![CDATA[Fernando Badilla Veliz - Fire2a.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pan_batido/version/v1.0.0/download/</download_url>
        <uploaded_by><![CDATA[fdobad]]></uploaded_by>
        <create_date>2024-06-03T17:05:14.391572+00:00</create_date>
        <update_date>2025-06-09T15:11:55.624737+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fire2a/qgis-pan-europeo/issues]]></tracker>
        <repository><![CDATA[https://github.com/fire2a/qgis-pan-europeo]]></repository>
        <tags><![CDATA[python,raster summary,multiattribute utility functions,ponderation]]></tags>
        <downloads>4355</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Power Clipboard" version="0.6" plugin_id="3391">
        <description><![CDATA[Plugin to easy copy/zoom to XY/YX coords.]]></description>
        <about><![CDATA[EN:
Four buttons gives option to quick copy or zoom to coords in format XY, YX seperate by tabulation, space or comma (if dot is decimal separator, and comma is coord separator otherwise comma is repleced by dot as decimal separator).

PL:
Plugin dodaje 4 przyciski pozwalające na szybkie kopiowanie/zoomowanie do współrzednych w formacie XY, YX rozdzielonych tablulacją, spacją lub przecinkiem. (Jeżeli kropka jest separatorem dziesiętnym, a przecinek rozdziela X od Y, w przeciwnej sytuwacji przecinek jest traktowany jako separator dziesiętny)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Rzezimioszek]]></homepage>
        <file_name>power_clipboard.0.6.zip</file_name>
        <icon>/media/packages/2026/icon_kArub4c.png</icon>
        <author_name><![CDATA[Łukasz Świątek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/power_clipboard/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[rzezimioszek]]></uploaded_by>
        <create_date>2024-06-05T07:36:42.675421+00:00</create_date>
        <update_date>2026-03-08T14:07:07.939162+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rzezimioszek/QGIS-power-clipboard/issues]]></tracker>
        <repository><![CDATA[https://github.com/Rzezimioszek/QGIS-power-clipboard]]></repository>
        <tags><![CDATA[python,zoom,coords,copy,clipboard,paste,coord,powerclipboard,powerpin]]></tags>
        <downloads>2628</downloads>
        <average_vote>4.499437570303712</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spot Height Extractor" version="1.1" plugin_id="3392">
        <description><![CDATA[This plugin extracts spot heights from an elevation model.]]></description>
        <about><![CDATA[This plugin derives spot heights from an elevation model.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/eleeld/Spot-Height-Extractor-Plugin]]></homepage>
        <file_name>Spot-Height-Extractor-Plugin-main.1.1.zip</file_name>
        <icon>/media/packages/2024/spot_height_icon.png</icon>
        <author_name><![CDATA[Elena Field - British Antarctic Survey]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Spot-Height-Extractor-Plugin-main/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[efield]]></uploaded_by>
        <create_date>2024-06-06T16:00:29.871014+00:00</create_date>
        <update_date>2024-06-28T14:17:53.742633+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eleeld/Spot-Height-Extractor-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/eleeld/Spot-Height-Extractor-Plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3588</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Hankaku Converter" version="0.20240815" plugin_id="3393">
        <description><![CDATA[This plug-in converts string attribute values to full-width (Zenkaku) and half-width (Hankaku) characters to each other.]]></description>
        <about><![CDATA[This plug-in converts string attribute values to full-width (Zenkaku) and half-width (Hankaku) characters to each other. Only alphanumeric symbols are supported. --- このプラグインは、指定したベクタレイヤーで、すべてのString型の属性値について、全角文字と半角文字を交互に変換します。アルファベット・数字・記号のみ対応しています。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SandaTakeru/Hankaku-Converter]]></homepage>
        <file_name>hankaku_converter.0.20240815.zip</file_name>
        <icon>/media/packages/2024/icon_cRIQHUQ.png</icon>
        <author_name><![CDATA[Sanda Takeru]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hankaku_converter/version/0.20240815/download/</download_url>
        <uploaded_by><![CDATA[sandatakeru]]></uploaded_by>
        <create_date>2024-06-10T00:23:40.035776+00:00</create_date>
        <update_date>2024-08-15T00:34:23.282401+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SandaTakeru/Hankaku-Converter/issues]]></tracker>
        <repository><![CDATA[https://github.com/SandaTakeru/Hankaku-Converter]]></repository>
        <tags><![CDATA[attribute,string,japanese,半角,日本語,全角,characters,full-length,harf-width]]></tags>
        <downloads>2159</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BathyFlowDEM" version="1.0" plugin_id="3394">
        <description><![CDATA[Anisotropie interpolation for bathymetric data]]></description>
        <about><![CDATA[BathyFlowDEM uses flow-oriented curvilinear coordinate system and anisotropic Inverse Distance Weighting interpolation to create a digital elevation model from a set of bathymetry data points and a user-defined river centerline. The anisotropy ratio is set by the user.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/melindafemminis/BathyFlowDEM/tree/master]]></homepage>
        <file_name>bathyflowdem.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_G7m2NS1.png</icon>
        <author_name><![CDATA[Melinda Femminis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bathyflowdem/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[melindafte]]></uploaded_by>
        <create_date>2024-06-13T00:14:58.572841+00:00</create_date>
        <update_date>2026-02-03T10:32:18.684476+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/melindafemminis/BathyFlowDEM/tree/master]]></tracker>
        <repository><![CDATA[https://github.com/melindafemminis/BathyFlowDEM]]></repository>
        <tags><![CDATA[python,raster,dem,interpolation,idw,bathymetry,anisotropy]]></tags>
        <downloads>2336</downloads>
        <average_vote>3.749531308586427</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Unsupervised Classifier" version="1.4.1" plugin_id="3395">
        <description><![CDATA[Plugin for unsupervised classification or clustering of satellite images. Part of MAS Raster Processing tools.]]></description>
        <about><![CDATA[The Unsupervised Classification Plugin for QGIS is a powerful tool designed to facilitate the classification of satellite images using unsupervised learning algorithms. This plugin provides an easy-to-use interface for loading satellite images and selecting from a variety of unsupervised classification methods, including K-means and ISODATA. Key Features:
1. User-Friendly Interface: Intuitive dialog for selecting classification parameters.
2. Multiple Algorithms: Support for K-means and ISODATA algorithms.
3. Seamless Integration: Directly integrates with QGIS, allowing for easy access and visualization of classification results.
4. Flexible: Handles different types of satellite images and provides robust classification results. This plugin is ideal for remote sensing professionals, GIS analysts, and researchers looking to perform efficient and accurate unsupervised classification of satellite imagery within the QGIS environment.
To use this Tool follow the below steps:
1. Click on the tool or chose &quot;Raster&quot; menu --&gt; &quot;MAS Raster Processing&quot; menu item --&gt; &quot;Unsupervised Classifier&quot; option.
2. Select &#x27;Stack Image&#x27; or Image as Input and select output file name.
3. Select clustering method.
4. Adjust all parameters according to your needs. &#x27;Number of Bands:&#x27; give you total number of bands, If you decrease it then it will remove that no of bands from process the clustering. or you can directly select those bands by check mark on &#x27;Do you want to select available bands?&#x27;
5. Decide do you wants to open the output or not.
6. Click on &quot;Run Clustering&quot; or &quot;Run Classification&quot; button.
FOR Version &gt;= 1.0.0 follow below steps:
1. Launch the tool via the MAS Raster Processing toolbar or the Raster menu—all loaded raster layers in QGIS will automatically appear in the input list table.
2. Add additional rasters by clicking &quot;Browse...&quot; to select multiple files at once, or use the &quot;Remove from List&quot; button to remove unwanted entries.
3. Click anywhere on the &quot;Select&quot; or &quot;Raster Name&quot; columns to select/deselect rasters for batch processing, or use &quot;Select All/Unselect All&quot; for quick selection.
4. Click on the &quot;Output File Name&quot; column to edit output names for each raster as needed.
5. Select bands for processing: click &quot;...&quot; in the &quot;Selected Bands&quot; column or highlight a row and click &quot;Select Bands&quot; button to open the band selection window where you can check/uncheck individual bands.
6. Optionally set the output folder or check &quot;Save output same as input folder?&quot; to save outputs next to their source files.
7. Select your preferred clustering method (K-means or ISODATA) and adjust parameters such as number of clusters.
8. Check &quot;Open the output in QGIS&quot; if you want results loaded automatically after processing.
9. Click &quot;Run Classification&quot; to process all selected rasters in batch—a progress bar will display processing status and completion messages will show when finished.
**Note: After installation make sure the following points;
1. Check Mark the Installed plugins (under &#x27;Manage and Install Plugins...&#x27; menu)
2. Check Mark &#x27;MAS Raster Processing&#x27; toolbar (by right click on toolbar).
For more details, please visit &#x27;homepage&#x27;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/unsupervised_classifier/wiki]]></homepage>
        <file_name>unsupervised_classifier.1.4.1.zip</file_name>
        <icon>/media/packages/2026/icon_MexKd9g.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/unsupervised_classifier/version/1.4.1/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2024-06-13T06:06:31.395006+00:00</create_date>
        <update_date>2026-03-17T17:43:32.596136+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/unsupervised_classifier/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/unsupervised_classifier]]></repository>
        <tags><![CDATA[raster,classification,remote sensing,processing,clustering,image processing,unsupervised classification]]></tags>
        <downloads>18436</downloads>
        <average_vote>4.467990042765048</average_vote>
        <rating_votes>47</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Fast Line Density Analysis" version="1.3" plugin_id="3396">
        <description><![CDATA[A fast line density visualization plugin for geospatial analytics]]></description>
        <about><![CDATA[This plugin is built based on an efficient solution, called LARGE, for generating line density visualization (LDV) with non-trivial accuracy guarantees under a single machine setting. Our preliminary experiment results show that this solution can achieve up to 291.8x speedups over the state-of-the-art solutions. One research article that is based on this solution is submitted to a prestigious conference in computer science. More details (e.g., technical parts and implementation details) will be released after this article is accepted.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/bojianzhu/qgis-fast-line-density-analysis]]></homepage>
        <file_name>fast_line_density_analysis.1.3.zip</file_name>
        <icon>/media/packages/2025/icon_6kYjBWH.png</icon>
        <author_name><![CDATA[Tsz Nam Chan, Bojian Zhu, Dingming Wu, Yun Peng, Leong Hou U]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fast_line_density_analysis/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[bojianzhu]]></uploaded_by>
        <create_date>2024-06-17T04:14:31.960800+00:00</create_date>
        <update_date>2025-03-19T19:32:12.015607+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/bojianzhu/qgis-fast-line-density-analysis/issues]]></tracker>
        <repository><![CDATA[http://github.com/bojianzhu/qgis-fast-line-density-analysis]]></repository>
        <tags><![CDATA[python,analysis,hotspot,geospatial analytics,large-scale,line density]]></tags>
        <downloads>4769</downloads>
        <average_vote>4.678529655985214</average_vote>
        <rating_votes>112</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CSMap Plugin" version="1.2.2" plugin_id="3397">
        <description><![CDATA[DEMをGeoTIFF形式のCS立体図に変換するプラグインです。 A plugin that converts DEM (Digital Elevation Model) into CS (Curvature and Slope) topographical maps in GeoTIFF format.]]></description>
        <about><![CDATA[バージョン 3.32 以降の QGIS（Windows / macOS）で動作します。 Works with QGIS version 3.32 and later (Windows / macOS).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MIERUNE/csmap-qgis-plugin]]></homepage>
        <file_name>csmap-qgis-plugin.1.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_Y4nc78c.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/csmap-qgis-plugin/version/1.2.2/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
        <create_date>2024-06-17T08:15:49.845615+00:00</create_date>
        <update_date>2026-03-16T13:30:23.019316+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/csmap-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/csmap-qgis-plugin]]></repository>
        <tags><![CDATA[python,dem,processing,geotiff]]></tags>
        <downloads>8896</downloads>
        <average_vote>4.457015513842462</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WAsP scripting" version="0.3.5" plugin_id="3398">
        <description><![CDATA[Scripts for fetching, creating and saving WAsP map files]]></description>
        <about><![CDATA[This plugin provides scripts that convert QGIS map formats to the formats needed by the WAsP.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.windenergy.dtu.dk/WAsP/qgis-plugin]]></homepage>
        <file_name>wasp_scripts.0.3.5.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[DTU Wind and Energy Systems]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wasp_scripts/version/0.3.5/download/</download_url>
        <uploaded_by><![CDATA[rofl]]></uploaded_by>
        <create_date>2024-06-19T07:57:29.726292+00:00</create_date>
        <update_date>2025-11-07T12:09:10.761146+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.windenergy.dtu.dk/WAsP/qgis-plugin]]></tracker>
        <repository><![CDATA[https://gitlab.windenergy.dtu.dk/WAsP/qgis-plugin]]></repository>
        <tags><![CDATA[elevation,landcover,roughness,wasp]]></tags>
        <downloads>4709</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="D2S Browser" version="0.5.0" plugin_id="3399">
        <description><![CDATA[This plugin allows you to browse your data on a D2S instance.]]></description>
        <about><![CDATA[This plugin will allow you to sign in to a Data to Science instance. Once authenticated, you will be able to browse and view your projects, flights, and data products.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://py.d2s.org]]></homepage>
        <file_name>d2s_browser.0.5.0.zip</file_name>
        <icon>/media/packages/2025/icon_Lb6KmO4.png</icon>
        <author_name><![CDATA[Ben Hancock]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/d2s_browser/version/0.5.0/download/</download_url>
        <uploaded_by><![CDATA[jinha]]></uploaded_by>
        <create_date>2024-06-19T14:53:35.512798+00:00</create_date>
        <update_date>2025-11-14T21:44:42.121437+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gdslab/d2spy-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/gdslab/d2spy-qgis-plugin]]></repository>
        <tags><![CDATA[python,raster,uas,d2s]]></tags>
        <downloads>2940</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EIS QGIS Plugin" version="1.0.6" plugin_id="3402">
        <description><![CDATA[Comprehensive mineral prospectivity mapping and analysis framework]]></description>
        <about><![CDATA[EIS (Exploration Information System) QGIS Plugin is a tool for prospectivity
mapping of critical raw materials. EIS QGIS Plugin consists of two main components:
EIS Wizard, a plugin application with guided processes and workflows and EIS
Processing Algorithms, the individual tools and algorithms available in QGIS
Processing Toolbox. To run EIS QGIS Plugin, you need to install EIS Toolkit in a
Python environment and configure the environment in the plugin. More detailed
instructions can be found in EIS QGIS Plugin GitHub repository
(https://github.com/GispoCoding/eis_qgis_plugin) and EIS Toolkit GitHub repository
(https://github.com/GispoCoding/eis_toolkit).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GispoCoding/eis_qgis_plugin]]></homepage>
        <file_name>eis_qgis_plugin.1.0.6.zip</file_name>
        <icon>/media/packages/2025/icon4_O7TatiS.png</icon>
        <author_name><![CDATA[Gispo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eis_qgis_plugin/version/1.0.6/download/</download_url>
        <uploaded_by><![CDATA[gispo]]></uploaded_by>
        <create_date>2024-06-20T06:59:14.859043+00:00</create_date>
        <update_date>2025-07-03T05:58:01.377546+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GispoCoding/eis_qgis_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GispoCoding/eis_qgis_plugin]]></repository>
        <tags><![CDATA[vector,raster,geology,processing,modelling,geophysics,data analysis,geochemistry,mineral exploration]]></tags>
        <downloads>7364</downloads>
        <average_vote>3.749687526039497</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Konwerter PL-ETRF2000 PL-2000" version="1.1.5" plugin_id="3403">
        <description><![CDATA[Konwerter współrzędnych punktu układu PL-ETRF2000 do układu PL-2000]]></description>
        <about><![CDATA[Program może być przydatny po pomiarach satelitarnych w odniesieniu do stacji referencyjnych ASG-EUPOS w Polsce, gdzie współrzędne stacji podawane są w układzie PL-ETRF2000.  Wyniki pomiarów bądź postprocesingu można przeliczyć z układu PL-ETRF2000 do układu PL-2000, w którym podawane są współrzędne działek i budynków.

Wtyczka instalowana jest jako panel i dostępna w menu Widok, Panele. Można też kliknąć prawym przyciskiem na dowolnym pasku narzędzi głównego okna.

Uwaga W funkcjach QGIS współrzędne x y są w odwrotnej kolejności niż w układzie PL-2000.

Zamiast tej wtyczki, do transformacji pomiędzy dowolnymi układami współrzędnych, można użyć w okienku poleceń systemu operacyjnego polecenia cs2cs dostępnego po zainstalowaniu QGIS i posługując się kodami EPSG układów. Należy przy tym zwracać uwagę na dokładność transformacji.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/szymon2024/Konwerter-PL-ETRF2000-PL-2000-plugin]]></homepage>
        <file_name>konwerterPLETRF2000PL2000Plugin.1.1.5.zip</file_name>
        <icon>/media/packages/2024/thumbnail_ZfjrpbU.png</icon>
        <author_name><![CDATA[Szymon Kędziora]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/konwerterPLETRF2000PL2000Plugin/version/1.1.5/download/</download_url>
        <uploaded_by><![CDATA[szymon]]></uploaded_by>
        <create_date>2024-06-20T15:05:00.144309+00:00</create_date>
        <update_date>2024-08-19T13:40:33.145293+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/szymon2024/Konwerter-PL-ETRF2000-PL-2000-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/szymon2024/Konwerter-PL-ETRF2000-PL-2000-plugin]]></repository>
        <tags><![CDATA[converter]]></tags>
        <downloads>1716</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Curvilinear Coordinator" version="0.9.1" plugin_id="3404">
        <description><![CDATA[Plugin for river data conversion from Cartesian to curvilinear orthogonal system]]></description>
        <about><![CDATA[Plugin for conversion of river data (bathymetry, concentrations etc.) from Cartesian to Curvilinear coordinate system. It allows to perform interpolation in Curvilinear CS that improves accuracy significantly]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/zaarcvon/curvicoord/wiki]]></homepage>
        <file_name>curvicoord-main.0.9.1.zip</file_name>
        <icon>/media/packages/2024/icon_vGQM7Yx.png</icon>
        <author_name><![CDATA[Sergei Freiman, Pavel Terskii]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/curvicoord-main/version/0.9.1/download/</download_url>
        <uploaded_by><![CDATA[zaarcvon]]></uploaded_by>
        <create_date>2024-06-20T19:35:25.880643+00:00</create_date>
        <update_date>2024-06-25T08:55:31.894771+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zaarcvon/curvicoord/issues]]></tracker>
        <repository><![CDATA[https://github.com/zaarcvon/curvicoord]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1251</downloads>
        <average_vote>4.499437570303712</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Field Stats" version="0.2" plugin_id="3405">
        <description><![CDATA[This pluggins calculate basic stats and graph histogram and boxplot]]></description>
        <about><![CDATA[It calculate basic stats and make a histogram and a boxplot graph for numeric field in vector layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/M-Alejo/fieldStats]]></homepage>
        <file_name>field_stats.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_hx4noYA.png</icon>
        <author_name><![CDATA[Manuel Alejandro Montealegre Martínez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/field_stats/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[m4lejo]]></uploaded_by>
        <create_date>2024-06-20T20:12:48.266522+00:00</create_date>
        <update_date>2024-08-23T02:16:39.943350+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/M-Alejo/fieldStats]]></tracker>
        <repository><![CDATA[https://github.com/M-Alejo/fieldStats]]></repository>
        <tags><![CDATA[python,field stats]]></tags>
        <downloads>4572</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Supervised Classifier" version="1.0.6" plugin_id="3406">
        <description><![CDATA[A plugin to classify a selected raster file with reference. The Supervised Classifier Plugin for QGIS is a powerful tool that facilitates the classification of satellite images using supervised learning algorithms.  Part of MAS Raster Processing tools.]]></description>
        <about><![CDATA[Supervised Classifier: A plugin to classify selected raster file with reference or pre-trained models.
This plugin provides an easy-to-use interface for loading satellite images and selecting from a variety of supervised classification methods, including &quot;Minimum Distance&quot;, &quot;Random Forest&quot;, &quot;Gradient Boosting&quot;, &quot;SVM&quot;, &quot;KNN&quot;, &quot;Maximum Likelihood&quot;, &quot;LDA&quot;, &quot;QDA&quot;.
Key Features:
- User-Friendly Interface with Batch Processing
- Multiple Classification Algorithms (Random Forest, Gradient Boosting, SVM, KNN, Minimum Distance, Maximum Likelihood, LDA, QDA)
- Accuracy Assessment with Confusion Matrix, Kappa, Precision/Recall/F1-Score
- Export Training Samples as CSV
- Pre-trained Model Support
- Classify multiple rasters using saved models
- Band Selection
- Choose specific bands for classification
- Multiple Label Field Support -
Handle complex reference shapefiles
- Model Saving &amp; Export
- Save trained models with detailed info files
- Label Mapping Export - Export classification labels as CSV/JSON
- Progress Tracking &amp; Error Handling - Seamless QGIS Integration

This plugin is ideal for remote sensing professionals, GIS analysts, and researchers looking to perform efficient and accurate supervised classification of satellite imagery within the QGIS environment.

To use this Tool, follow the steps below:
1. Click on the tool or choose &quot;Raster&quot; menu --&gt; &quot;MAS** Raster Processing&quot; menu item --&gt; &quot;Supervised Classifier&quot; option.
2. Select &#x27;Stack Image&#x27; or Image as Input and select the output folder name.
3. Select classification method.
4. Adjust all parameters according to your needs. Select the field of the Reference Shapefile that has the labels for the classification and check mark on &quot;Want to save the trained model?&quot;
If you want to save the trained model (except the &quot;Minimum Distance&quot; model). Select the &quot;No of Iterations:&quot; to train the model (except the &quot;Minimum Distance&quot; model).
5. Decide do you want to open the output or not.
6. Click on the &quot;Classify&quot; button.

Follow the steps below for Version &gt;= 1.0.0:
**Training New Model Mode:**
1. Open the tool: Raster menu → &quot;MAS Raster Processing&quot; → &quot;Supervised Classifier&quot;
2. Keep &quot;Do you want to use a pre-trained model?&quot; unchecked
3. Select input rasters from the table or add new ones using &quot;Add Raster from File&quot;
4. Select reference shapefiles and choose label fields using the &quot;Select Label Fields&quot; button
5. Choose output folder (or check &quot;Save output in same folder as input?&quot;)
6. Select classification method (Random Forest, SVM, KNN, or Minimum Distance)
7. Check &quot;Wants to save trained model?&quot; to save the model for future use
8. Set &quot;No of Iterations&quot; for training (except Minimum Distance)
9. Optionally check &quot;Do you want to open output in QGIS Interface?&quot;
10. Click the &quot;Classify&quot; button
11. View label mappings dialog and export if needed

**Pre-trained Model Mode:**
1. Open the tool and check &quot;Do you want to use a pre-trained model?&quot;
2. Select input rasters from the table
3. Add pre-trained model files (.pkl) using the &quot;Add Model from File&quot; button
4. If multiple models are selected, confirm the warning about the total output files
5. Choose output folder
6. Optionally check &quot;Do you want to open output in QGIS Interface?&quot;
7. Click the &quot;Classify&quot; button
8. Check model info files for label mapping details

**Note: After installation, make sure the following points;
1. Check the Installed plugins (under &#x27;Manage and Install Plugins...&#x27; menu).
2. Check Mark &#x27;MAS Raster Processing&#x27; toolbar (by right-clicking on the toolbar).
3. Issues (please take a look):
[ModuleNotFoundError: No module named &#x27;sklearn&#x27; #1](https://github.com/Mirjan-Ali-Sha/supervised_classifier/issues/1)

For more details, please visit &#x27;homepage&#x27;.
** MAS refer to my name &quot;Mirjan Ali Sha&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/supervised_classifier/wiki]]></homepage>
        <file_name>supervised_classifier.1.0.6.zip</file_name>
        <icon>/media/packages/2025/icon_FCB2MJ7.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/supervised_classifier/version/1.0.6/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2024-06-22T18:15:59.584270+00:00</create_date>
        <update_date>2025-12-31T18:30:27.141276+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/supervised_classifier/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/supervised_classifier]]></repository>
        <tags><![CDATA[raster,classification,remote sensing,processing,supervised classification,knn,svm,random forest,minimum distance,image classification,supervised,lda,qda,maximum likelihood]]></tags>
        <downloads>12093</downloads>
        <average_vote>4.3887669786950365</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Heritage Inventory" version="2.5" plugin_id="3409">
        <description><![CDATA[Digitally register, manage, and visualise heritage resource data with this inventory worksheet plugin.]]></description>
        <about><![CDATA[The Heritage Inventory Plugin simplifies the management of heritage resources by offering a digital solution for data collection and visualisation.

Create detailed databases of heritage sites with ease, visualise spatial and non-spatial data, and access multilingual support in English, Spanish, and Armenian.

Streamline your heritage conservation efforts.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ansa16a/qgis-heritage-inventory-plugin/#readme]]></homepage>
        <file_name>her_inv.2.5.zip</file_name>
        <icon>/media/packages/2025/icon_6ERZj24.png</icon>
        <author_name><![CDATA[Anna Sanasaryan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/her_inv/version/2.5/download/</download_url>
        <uploaded_by><![CDATA[ansa16a]]></uploaded_by>
        <create_date>2024-06-26T14:53:22.217289+00:00</create_date>
        <update_date>2025-06-06T17:31:32.490415+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ansa16a/qgis-heritage-inventory-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ansa16a/qgis-heritage-inventory-plugin/]]></repository>
        <tags><![CDATA[python,heritage,management,inventory]]></tags>
        <downloads>3222</downloads>
        <average_vote>4.529145344391506</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Slownik warstw" version="1.0" plugin_id="3410">
        <description><![CDATA[Tworzy słownik w formie pliku txt rozdzielanego tabulacjami dla wybranych warstw, program pozwala na eksport pełnych nazw pól danej warstwy oraz wersje jako powstanie po zmienie z gpkg do shp.]]></description>
        <about><![CDATA[[EN] Plugin exports layer names and field names from attribute table to tab seperated txt file.

[PL] Wtyczka eksportuje nazwę warstwy oraz nazwę pól z tabeli atrybutów do pliku txt, który jest rozdzielany tabulacjami i jest prosty do wklejenia do xlsx.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/Rzezimioszek]]></homepage>
        <file_name>slownik_warstw.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_zdUJXnF.png</icon>
        <author_name><![CDATA[Łukasz Świątek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/slownik_warstw/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[rzezimioszek]]></uploaded_by>
        <create_date>2024-07-01T09:53:53.467395+00:00</create_date>
        <update_date>2024-11-07T13:13:01.388410+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rzezimioszek/QGIS-layer-dictionary/issues]]></tracker>
        <repository><![CDATA[https://github.com/Rzezimioszek/QGIS-layer-dictionary]]></repository>
        <tags><![CDATA[python,export,txt,xlsx,name,polish,layername,dictionary,fieldname,layer dictionary]]></tags>
        <downloads>1316</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sections" version="0.2.1" plugin_id="3411">
        <description><![CDATA[Creates a section polygon layer from a point layer]]></description>
        <about><![CDATA[The plugin works only on point layers. It creates section polygons from the point layer, treating the points as section centers. The sections are drawn in the selected plot format, with set margins, for the selected scale.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.gis4.pl/sections]]></homepage>
        <file_name>sections.0.2.1.zip</file_name>
        <icon>/media/packages/2024/icon_UOALLjX.svg</icon>
        <author_name><![CDATA[Marek Zygadło]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sections/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[gis4]]></uploaded_by>
        <create_date>2024-07-01T17:15:02.054981+00:00</create_date>
        <update_date>2024-08-01T17:18:09.366213+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gis4pl/sections/issues]]></tracker>
        <repository><![CDATA[https://github.com/gis4pl/sections]]></repository>
        <tags><![CDATA[vector,point,polygon,centroid,inspire,mask]]></tags>
        <downloads>2747</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArcGeek Calculator" version="4.0.8" plugin_id="3413">
        <description><![CDATA[ArcGeek Calculator is a QGIS plugin that provides a comprehensive set of tools for coordinate calculations, conversions, spatial operations, watershed analysis, land use analysis, flood simulation, 3D CAD integration, topographic profiling, machine learning classification, path optimization, and forestry planning in QGIS. It&#x27;s designed for GIS analysts, cartographers, surveyors, hydrologists, urban planners, foresters, and anyone working with spatial data.]]></description>
        <about><![CDATA[Developed by Franz Pucha-Cofrep, 2024-2026. ArcGeek Calculator provides a comprehensive suite of tools for GIS analysis, hydrology, topography, and planning. Includes the new Multiple Basin Delineation tool.


- Added AI MCP Server (Model Context Protocol) integration for Claude Desktop based on QGISMCP by jjsantos01
- Included bundled Python MCP client for seamless configuration

- Added Multiple Basin Delineation tool (contribution by Anthropocene Engineering team - anthroeng.com)
- Enhanced Watershed Basin Delineation tool:
* Longest Flow Path calculation feature (suggested by Antonio López Espinazo)
* Topological network integration using r.drain
* Three Strahler order calculations (sthr_original, sthr_extend, sthr_final)
- Fixed topological issues in stream network merging
- Minor bug fixes and improvements

- Enhanced Image Classification: Advanced machine learning classification with Random Forest, SVM, GMM, and KNN algorithms, including scientific accuracy assessment and comprehensive HTML reports
- Least Cost Path Finder: Advanced path optimization with multiple optimization levels, flat terrain sensitivity, and support for drainage analysis, hiking trails, and utility corridors
- Tree Planting Pattern Generator: Generate optimal planting patterns (Triangular/Quincunx, Rectangular/Square, Five of Diamonds) for forestry and agricultural planning

1. Calculate Coordinates: Add XY coordinates to point layers, convert to Decimal Degrees, and provide two formats of Degrees Minutes Seconds.
2. Calculate Line Geometry: Calculate length and azimuth for line features.
3. Calculate Polygon Geometry: Calculate area and perimeter for polygon features.
4. Calculate Angles: Calculate internal and external angles at vertices of lines or polygons.
5. Go to XY: Quickly navigate to specific coordinates on the map and optionally create point markers.

6. Extract Ordered Points from Polygons: Extract and order points from the vertices of input polygons with bi-directional numbering.
7. Lines to Ordered Points: Convert line features to ordered point features.
8. Calculate Line from Coordinates and Table: Generate a line and points from starting coordinates and a table of distances and angles.

9. Stream Network with Order: Generate a stream network with Strahler order.
10. Multiple Basin Delineation: Delineate multiple basins from points, snap them to streams, and calculate drainage areas.
11. Watershed Basin Delineation: Delineate watershed basins from a DEM and pour points with main channel extension.
12. Watershed Morphometric Analysis: Perform a comprehensive morphometric analysis of a watershed, calculating various parameters and providing their interpretations.
13. Calculate Global Curve Number: Calculate CN values using global datasets for hydrological analysis.

14. Topographic Profile: Generate interactive topographic profiles from lines and DEMs with advanced visualization.
15. Least Cost Path Finder: Advanced path optimization for drainage channels, hiking trails, utility lines, and irrigation planning.

16. Land Use Change Detection: Analyze changes in land use between two time periods.
17. Weighted Sum Analysis: Perform weighted sum analysis on multiple raster layers.
18. Optimized Parcel Division: Divide rectangular parcels into lots of specified width.
19. Dam Flood Simulation: Simulate flooding based on a DEM and specified water level.

20. Enhanced Image Classification: Machine learning classification with scientific accuracy assessment.
21. Kriging Analysis: Perform spatial interpolation using Kriging (requires external libraries).
22. Satellite Index Calculator: Calculate various satellite indices (NDVI, NDWI, etc.) for different satellites.

23. Tree Planting Pattern Generator: Generate optimal tree planting patterns with comparative density analysis.

24. Basemap Manager: Add and manage basemaps from Google Maps, Esri, Bing, and others.
25. Screen Capture: Capture and georeference the current map view.
26. Export to CSV: Export vector layer attributes to CSV format compatible with Excel.
27. Export Contours to 3D CAD: Export contour lines to DXF format preserving elevation values.

- Compatible with QGIS 3.40 through 4.99]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://arcgeek.com/]]></homepage>
        <file_name>ArcGeekCalculator.4.0.8.zip</file_name>
        <icon>/media/packages/2026/icon_ZTth9AF.png</icon>
        <author_name><![CDATA[ArcGeek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ArcGeekCalculator/version/4.0.8/download/</download_url>
        <uploaded_by><![CDATA[franzpc]]></uploaded_by>
        <create_date>2024-07-01T20:42:07.238776+00:00</create_date>
        <update_date>2026-04-09T14:18:57.543095+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/franzpc/ArcGeekCalculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/franzpc/ArcGeekCalculator]]></repository>
        <tags><![CDATA[calculator,cad,analysis,bing,google maps,elevation,classification,coordinates,conversion,esri,basemap,random forest,dms,qt5,forestry,dam,machine learning,kriging,image classification,curve number,cn,watershed analysis,contour lines,artificial intelligence,automation,ai,hidrology,llm,decimal degrees,line generation,xy navigation,stream order,basin delineation,line from coordinates,parcel division,weighted sum,perimeter calculation,area calculation,land use change,xy coordinates,flood simulation,screen capture,csv export,satellite index,support vector machine,topographic profile,least cost path,tree planting,semi-automatic classification,scp,agricultural planning,path optimization,qt6,compatibility,claude,mcp,model context protocol,claude desktop]]></tags>
        <downloads>132153</downloads>
        <average_vote>4.7205034039152665</average_vote>
        <rating_votes>229</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Polaris" version="26.1.18" plugin_id="3415">
        <description><![CDATA[QGIS interface for Polaris through Polaris-Studio]]></description>
        <about><![CDATA[POLARIS is a high-performance, computationally efficient tool that implements advanced travel and freight demand modeling, dynamic traffic assignment, and transportation simulation into an integrated modeling platform. POLARIS features an integrated network-demand model, in which all the aspects of travel decisions can be modeled simultaneously, including
Activity generation;
Activity planning (e.g., departure time, destination choice, mode-choice, etc.);
Multi-modal route choice;
Activity planning and rescheduling;
Freight and logistics planning; and
Fleet and transit service operational controls.

QPolaris is the QGIS interface for Polaris, including access to many features of Polaris&#x27; Python API through Polaris-Studio, as well as additional visualization and model-building tools]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/QPolaris]]></homepage>
        <file_name>QPolaris.26.1.18.zip</file_name>
        <icon>/media/packages/2026/icon_t77VbgY.png</icon>
        <author_name><![CDATA[Argonne National Laboratory]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QPolaris/version/26.1.18/download/</download_url>
        <uploaded_by><![CDATA[anlpolaris]]></uploaded_by>
        <create_date>2024-07-04T22:54:19.813925+00:00</create_date>
        <update_date>2026-01-18T00:14:43.960528+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://plugins.qgis.org/plugins/QPolaris]]></tracker>
        <repository><![CDATA[https://plugins.qgis.org/plugins/QPolaris]]></repository>
        <tags><![CDATA[traffic,transport,modelling,modeling,transportation,gtfs,simulation]]></tags>
        <downloads>3363</downloads>
        <average_vote>3.9995556049327856</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mosaic Tool" version="0.3" plugin_id="3416">
        <description><![CDATA[A plugin to mosaic bands from selected raster layers.  Part of MAS Raster Processing tools.]]></description>
        <about><![CDATA[A plugin to mosaic bands/images from selected raster layers.
** PLEASE USE THE VERSION  &gt;=0.2**
Follow The Steps below;
1. Open your all bands in QGIS Interface or click on &#x27;Open Bands&#x27; button and open all band images which images you wants to mosaic.
2. Click on &quot;Mosaic Tool&quot; tool (under &#x27;MAS** Raster Processing&#x27; toolbox)
or &#x27;Raster&#x27; menu --&gt; &#x27;MAS Raster Processing&#x27; menu item --&gt; &#x27;Mosaic Tool&#x27;.
3. Open Images (&#x27;Open Bands&#x27; button) or Select your bands/files (It can work on stack Image as Well) using Select/Unselect button.
4. If you wants to open the output file after mosaic, check mark on it.
5. Click on &quot;Create Mosaic&quot; Button.
OR you can use the Processing Provider Tool as well.
* Please give a vote (stars) according to your experiences, it will motivate me. If you required any other tools or plugins please contact with me &quot;mastools.help@gmail.com&quot;.
** MAS refer to my name &quot;Mirjan Ali Sha&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/mosaic_tool/wiki]]></homepage>
        <file_name>mosaic_tool.0.3.zip</file_name>
        <icon>/media/packages/2025/mosaic_ItT8K6A.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mosaic_tool/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2024-07-05T20:32:22.249638+00:00</create_date>
        <update_date>2025-06-14T16:27:09.501275+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/mosaic_tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/mosaic_tool]]></repository>
        <tags><![CDATA[raster,remote sensing,mosaic,image mosaic,band mosaicking]]></tags>
        <downloads>3248</downloads>
        <average_vote>3.8821245809070053</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Sound Effects" version="0.4" plugin_id="3418">
        <description><![CDATA[Add sound effects to QGIS to make work less boring]]></description>
        <about><![CDATA[Add sound effects to QGIS to make work less boring.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bogind/qgs_sound_effects]]></homepage>
        <file_name>qgs_sound_effects.0.4.zip</file_name>
        <icon>/media/packages/2024/qgs_effects_icon_iXdDbNI.png</icon>
        <author_name><![CDATA[Dror Bogin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgs_sound_effects/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[bogind]]></uploaded_by>
        <create_date>2024-07-08T12:07:09.453864+00:00</create_date>
        <update_date>2024-08-08T10:10:56.917751+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bogind/qgs_sound_effects/issues]]></tracker>
        <repository><![CDATA[https://github.com/bogind/qgs_sound_effects]]></repository>
        <tags><![CDATA[python,sounds,silly,effects,sound effects,audio,text-to-speech]]></tags>
        <downloads>4194</downloads>
        <average_vote>4.666148205754917</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GPX Maker for GARMIN® devices" version="0.20240918" plugin_id="3419">
        <description><![CDATA[This plugin exports GPX files for GARMIN® devices.]]></description>
        <about><![CDATA[This plugin exports GPX files, which you can import and view on your Garmin® device. Supporting point layers, line layers, and polygon layers. By optional setting, you can exports features without dissolving them. (Garmin® is trademarks of Garmin Ltd. or its subsidiaries, registered in the USA and other countries.)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SandaTakeru/GPX-Maker-for-Garmin-devices]]></homepage>
        <file_name>gpx_maker.0.20240918.zip</file_name>
        <icon>/media/packages/2024/icon_4A9RGdi.png</icon>
        <author_name><![CDATA[Sanda Takeru]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gpx_maker/version/0.20240918/download/</download_url>
        <uploaded_by><![CDATA[sandatakeru]]></uploaded_by>
        <create_date>2024-07-10T08:01:50.967958+00:00</create_date>
        <update_date>2024-09-18T04:49:10.545313+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SandaTakeru/GPX-Maker-for-Garmin-devices/issues]]></tracker>
        <repository><![CDATA[https://github.com/SandaTakeru/GPX-Maker-for-Garmin-devices]]></repository>
        <tags><![CDATA[point,export,polygon,line,gps,gpx,garmin,gnss]]></tags>
        <downloads>16936</downloads>
        <average_vote>4.71411735295168</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapSafe" version="1.3" plugin_id="3420">
        <description><![CDATA[safeguard datasets using masking or hexagonal binning, encryption and notarisation]]></description>
        <about><![CDATA[A complete geoprivacy approach using geomasking or hexagonal binning, encryption and notarisation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sharmapn.github.io/MapSafeQGISGeoPrivPlugin]]></homepage>
        <file_name>mapsafe.1.3.zip</file_name>
        <icon>/media/packages/2025/icon_MuJ9xGZ.png</icon>
        <author_name><![CDATA[Pankajeshwara Sharma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapsafe/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[sharmapn]]></uploaded_by>
        <create_date>2024-07-12T02:50:12.426412+00:00</create_date>
        <update_date>2025-01-14T00:47:51.643839+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sharmapn/MapSafe-QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/sharmapn/MapSafe-QGIS-plugin]]></repository>
        <tags><![CDATA[privacy masking encryption notarisation]]></tags>
        <downloads>3521</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sentinel 2 Image Downloader" version="2.5.1" plugin_id="3421">
        <description><![CDATA[This plugin allows users to download Sentinel-2 images.]]></description>
        <about><![CDATA[This plugin allows users to download Sentinel-2 images from Copernicus Data Space platform (https://dataspace.copernicus.eu). Images can be downloaded as bands or raw zip file. The plugin also has ability to create various indices. Another option is to download only &quot;quicklook&quot; image (RGB image with lower resolution and size) instead of Sentinel-2 data. Analysis consists of four processes. &quot;Download Footprints&quot;, &quot;Download Images&quot;, &quot;Select Images&quot; and &quot;Preview Images&quot;. In &quot;Download Footprints&quot; section footprints of the images are retrieved based on given conditions (such as date, query area, max cloud etc.) In &quot;Download Images&quot; section credentials are provided and images are downloaded based on some options(such as bands to be downloaded, indices etc). &quot;Select Images&quot; section is optional. In this section; footprints can be filtered using quicklook file and saved as new geopackage file. &quot;Preview Images&quot; section is also optional. In this section; footprints can be previewed and saved as new geopackage file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_sentinel2_image_downloader_plugin]]></homepage>
        <file_name>sentinel_downloader.2.5.1.zip</file_name>
        <icon>/media/packages/2026/icon_I1cCScL.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sentinel_downloader/version/2.5.1/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2024-07-12T08:14:13.603365+00:00</create_date>
        <update_date>2026-04-02T14:12:07.269228+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_sentinel2_image_downloader_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_sentinel2_image_downloader_plugin/tree/main/sentinel_downloader]]></repository>
        <tags><![CDATA[python,raster,nbr,image,sentinel,satellite,ndvi,ndwi,vegetation,remote,copernicus,sensing]]></tags>
        <downloads>42403</downloads>
        <average_vote>4.651971653406373</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Natur i Norge kartlegging" version="0.3" plugin_id="3423">
        <description><![CDATA[Natur i Norge (NiN) mapping tool.]]></description>
        <about><![CDATA[Artsdatabanken lanserte Natur i Norge (NiN) versjon 3.0 i 2024. I den forbindelse er det utviklet et programtillegg (plugin) for QGIS som tilrettelegger for feltbasert kartlegging etter NiN 3.0. Formålet med programtillegget er å gjøre NiN-kartlegging mer tilgjengelig og effektiv – både for fagpersoner og brukere uten spesialisert teknisk kompetanse. The Norwegian Biodiversity Information Centre (Artsdatabanken) launched version 3.0 of Nature in Norway (NiN) in 2024. To support this, a plugin has been developed for QGIS to facilitate field-based mapping according to NiN 3.0. The purpose of the plugin is to make NiN mapping more accessible and efficient – for both professionals and users without specialized technical expertise.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.8</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geco-nhm/nin-qgis-plugin]]></homepage>
        <file_name>nin_qgis_plugin.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_i1eKgCg.png</icon>
        <author_name><![CDATA[Lasse Keetz, Peter Horvath, Anne B. Nilsen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nin_qgis_plugin/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[peterhor]]></uploaded_by>
        <create_date>2024-07-12T14:42:59.196540+00:00</create_date>
        <update_date>2025-06-13T13:36:12.814400+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geco-nhm/nin-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/geco-nhm/nin-qgis-plugin.git]]></repository>
        <tags><![CDATA[python,norway,field mapping,nin]]></tags>
        <downloads>2107</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Filter By Selection" version="0.2.6" plugin_id="3424">
        <description><![CDATA[Filter a given layer by the selected feature and attribute of another layer]]></description>
        <about><![CDATA[Ffilter a given layer by another layer selected features]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Shai2u/filterbyselection]]></homepage>
        <file_name>filterbyselection.0.2.6.zip</file_name>
        <icon>/media/packages/2024/filter_icon_gplrKXz.png</icon>
        <author_name><![CDATA[Shai Sussman]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/filterbyselection/version/0.2.6/download/</download_url>
        <uploaded_by><![CDATA[shaisussman]]></uploaded_by>
        <create_date>2024-07-13T05:50:34.701865+00:00</create_date>
        <update_date>2024-08-19T20:11:36.483316+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Shai2u/filterbyselection/issues]]></tracker>
        <repository><![CDATA[https://github.com/Shai2u/filterbyselection]]></repository>
        <tags><![CDATA[selection,layer,filter,navigate]]></tags>
        <downloads>4907</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Threshold to ROI" version="0.9.2" plugin_id="3426">
        <description><![CDATA[Create ROI (Region of Interest) with threshold values.]]></description>
        <about><![CDATA[This plugin allows you to create an ROI (Region of Interest) with selected threshold values ​​from the histogram of a raster layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/silver9704/Threshold_to_ROI/blob/main/README.md]]></homepage>
        <file_name>Threshold_to_ROI.0.9.2.zip</file_name>
        <icon>/media/packages/2024/icon_G6lDM5F.png</icon>
        <author_name><![CDATA[Silver Piedra]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Threshold_to_ROI/version/0.9.2/download/</download_url>
        <uploaded_by><![CDATA[silverp4]]></uploaded_by>
        <create_date>2024-07-15T19:17:05.730615+00:00</create_date>
        <update_date>2024-09-06T00:41:21.476226+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/silver9704/Threshold_to_ROI/issues]]></tracker>
        <repository><![CDATA[https://github.com/silver9704/Threshold_to_ROI.git]]></repository>
        <tags><![CDATA[raster,histogram,roi,threshold,teledetection]]></tags>
        <downloads>2641</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LER+" version="2.6.0" plugin_id="3427">
        <description><![CDATA[Søg LER fra QGIS og ledningsdata indlæses automatisk med ét klik og er færdigformateret]]></description>
        <about><![CDATA[Søg LER fra QGIS og ledningsdata indlæses automatisk med ét klik og er færdigformateret]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://lerplus.dk]]></homepage>
        <file_name>lerplusdock.2.6.0.zip</file_name>
        <icon>/media/packages/2026/icon_00NRDds.png</icon>
        <author_name><![CDATA[qLER ApS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lerplusdock/version/2.6.0/download/</download_url>
        <uploaded_by><![CDATA[mortenpoulsen]]></uploaded_by>
        <create_date>2024-07-16T19:26:13.809855+00:00</create_date>
        <update_date>2026-02-21T08:17:05.373314+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qleraps/lerplusplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qleraps/lerplusplugin]]></repository>
        <tags><![CDATA[ler2,ler]]></tags>
        <downloads>14534</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MorphAL" version="1.1.0" plugin_id="3428">
        <description><![CDATA[Morphological Analysis]]></description>
        <about><![CDATA[MorphAL (for Morphological Analysis) automates a set of processes and indicator calculations to facilitate the identification and the characterisation of morphology of urban and rural tissues using vector data.

The primary purpose of these computed indicators and geometric outputs is to facilitate the search for landscape structuring logics, but they can also be easily used in other contexts.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://doc.ptm.huma-num.fr/morphal/]]></homepage>
        <file_name>morphal.1.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Eric Grosso (PTM)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/morphal/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[egrosso]]></uploaded_by>
        <create_date>2024-07-17T12:51:06.721678+00:00</create_date>
        <update_date>2024-07-17T12:51:09.865625+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/paristimemachine/ptm4qgis-morphal/issues]]></tracker>
        <repository><![CDATA[https://github.com/paristimemachine/ptm4qgis-morphal/]]></repository>
        <tags><![CDATA[vector,processing,spatial indicators,land parcel,landscape metrics,ptm,morphological analysis,morphometry]]></tags>
        <downloads>1503</downloads>
        <average_vote>4.888345739362293</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ur-scape Data Importer" version="0.2.2" plugin_id="3429">
        <description><![CDATA[Import data to ur-scape.]]></description>
        <about><![CDATA[This plugin allows you to import data to ur-scape, an open-source geospatial planning support tool. Development by Urban-Rural Systems (URS) and Agropolitan Territories of Monsoon Asia (AGR) at Future Cities Laboratory (FCL) with the support of the Asian Development Bank (ADB) and the Swiss Secretariat for Economic Affairs (SECO). FCL was established by ETH Zürich and the National Research Foundation (NRF). Learn more about ur-scape at ur-scape.com.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.ur-scape.com]]></homepage>
        <file_name>ur-scapeDataImporter.0.2.2.zip</file_name>
        <icon>/media/packages/2024/icon_sgEIHco.png</icon>
        <author_name><![CDATA[ur-scape team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ur-scapeDataImporter/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[jvargassec]]></uploaded_by>
        <create_date>2024-07-18T10:09:39.424783+00:00</create_date>
        <update_date>2024-08-08T04:12:35.072025+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UrbanRuralSystems/ur-scape/issues]]></tracker>
        <repository><![CDATA[https://github.com/UrbanRuralSystems/ur-scape]]></repository>
        <tags><![CDATA[ur-scape]]></tags>
        <downloads>2953</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CBERS-4A WPM Explorer" version="2.0.0" plugin_id="3433">
        <description><![CDATA[Search and retrieve CBERS-4A satellite imagery from Brazil Data Cube STAC catalog. Supports COG visualization, downloads, and multiple collections.]]></description>
        <about><![CDATA[CBERS Explorer is a QGIS plugin for searching and loading CBERS-4A satellite imagery from the Brazil Data Cube (BDC) STAC catalog. Features include quick and advanced search modes, paginated results, COG layer loading via /vsicurl/, asset downloads with progress tracking, and support for multiple CBERS collections. Version 2.0.0 introduces a complete architectural redesign with layered architecture, reactive state management, and professional UX.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lapig-ufg/cbers-explorer]]></homepage>
        <file_name>cbers_explorer.2.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_5H37EhG.png</icon>
        <author_name><![CDATA[Tharles de Sousa Andrade | LAPIG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cbers_explorer/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[tharlestsa]]></uploaded_by>
        <create_date>2024-07-19T18:01:15.416037+00:00</create_date>
        <update_date>2026-02-18T01:51:07.707763+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lapig-ufg/cbers-explorer/issues]]></tracker>
        <repository><![CDATA[https://github.com/lapig-ufg/cbers-explorer]]></repository>
        <tags><![CDATA[remote sensing,satellite,imagery,cbers,brazil,stac,cog,bdc]]></tags>
        <downloads>13935</downloads>
        <average_vote>4.845781093762018</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Make Sector" version="1.1" plugin_id="3435">
        <description><![CDATA[Plugin to create sector, circle radius, and spidergraph delimited and vector layer]]></description>
        <about><![CDATA[This plugin to create sector, circle radius, and spidergraph from gcell file. Create sector create pie wedge from parameter azimuth, beamwidth, and radius. The parameters can be provided from file source. Create sector only read delimited text. Circle radius create full circle from ogr or delimited text. The parameter can be provided from file source, and user can define radius in meter or kilometer. This feature use native algorithm. Spidergrap create line from one layer to another. This feature use native algorithm with change that user can adjust max line length]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/muhlisi/qgis-plugin-make-sector]]></homepage>
        <file_name>make_sector.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_MG2gcZr.png</icon>
        <author_name><![CDATA[Imam Sibro Muhlisi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/make_sector/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[muhlisi]]></uploaded_by>
        <create_date>2024-07-21T12:44:23.767931+00:00</create_date>
        <update_date>2024-08-09T00:46:58.884626+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/muhlisi/qgis-plugin-make-sector/issues]]></tracker>
        <repository><![CDATA[https://github.com/muhlisi/qgis-plugin-make-sector]]></repository>
        <tags><![CDATA[python,azimuth,radius,wedge,spidergraph,telecom engineer,beamwidth]]></tags>
        <downloads>5857</downloads>
        <average_vote>4.332972252312308</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BuenosAires Converter" version="1.1" plugin_id="3436">
        <description><![CDATA[A QGIS plugin that converts layers to EPSG:9497]]></description>
        <about><![CDATA[Transform your layers and save the custom B.A. CRS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/thomasartopoulos/ba_converter-qgis-plugin]]></homepage>
        <file_name>BA_converter.1.1.zip</file_name>
        <icon>/media/packages/2024/obelisco.png</icon>
        <author_name><![CDATA[Thomas Artopoulos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BA_converter/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[thomasartopoulos]]></uploaded_by>
        <create_date>2024-07-22T01:20:15.887985+00:00</create_date>
        <update_date>2024-07-28T22:40:01.024846+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/thomasartopoulos/ba_converter-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/thomasartopoulos/ba_converter-qgis-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1786</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="T Vertical Sessions" version="1.3" plugin_id="3443">
        <description><![CDATA[Used to Vertical Sessions of Lidar Point Cloud]]></description>
        <about><![CDATA[This plugin is developed for Point Cloud user that wants to visualize that type of data in a vertical session.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DevTopocart/mod_vertical_sessions]]></homepage>
        <file_name>mod_vertical_sessions.1.3.zip</file_name>
        <icon>/media/packages/2024/icon_vs.png</icon>
        <author_name><![CDATA[Consultoria Topocart]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mod_vertical_sessions/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[adrianocsalvador]]></uploaded_by>
        <create_date>2024-07-23T19:29:14.934223+00:00</create_date>
        <update_date>2024-07-23T19:29:16.693229+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DevTopocart/mod_vertical_sessions/issues]]></tracker>
        <repository><![CDATA[https://github.com/DevTopocart/mod_vertical_sessions]]></repository>
        <tags><![CDATA[profile,section,point cloud,vertical session,topocart]]></tags>
        <downloads>5105</downloads>
        <average_vote>3.799240151969606</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArgentinaGeoServices" version="2.0" plugin_id="3444">
        <description><![CDATA[A QGIS plugin to import WMS Geoservices from Argentina]]></description>
        <about><![CDATA[WMS shortcut for Argentinian layers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/thomasartopoulos/argentinageoservices-qgis-plugin]]></homepage>
        <file_name>argentinageoservices_zip.2.0.zip</file_name>
        <icon>/media/packages/2024/sol_de_mayo.png</icon>
        <author_name><![CDATA[Thomas Artopoulos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/argentinageoservices_zip/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[thomasartopoulos]]></uploaded_by>
        <create_date>2024-07-23T22:10:58.906196+00:00</create_date>
        <update_date>2024-09-30T22:16:13.415018+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/thomasartopoulos/argentinageoservices-qgis-plugin]]></tracker>
        <repository><![CDATA[https://github.com/thomasartopoulos/argentinageoservices-qgis-plugin]]></repository>
        <tags><![CDATA[wms,geoportal,argentina]]></tags>
        <downloads>4362</downloads>
        <average_vote>4.428255124633955</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QPackageQGZ" version="5.7" plugin_id="3447">
        <description><![CDATA[QPackageQGZ is a tool to save both your QGIS project and data contained in the project to a new directory.]]></description>
        <about><![CDATA[It allows you to convert any GIS vector format to a folder of your choice. You can now directly use qgz files and integrate rasters into your package. All svg symbols used in the base project will be transferred, all joins and definition files will be transferred too, for optimal autonomous operation of the project transferred to any support, including for the QField application. The translations provided are: Spanish, Portuguese, Russian, Italian, German, Polish, Hebrew, Chineese and French. Enjoy!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fthvd/]]></homepage>
        <file_name>QPackageQGZ.5.7.zip</file_name>
        <icon>/media/packages/2026/icon_myunxuY.png</icon>
        <author_name><![CDATA[Francois THEVAND]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QPackageQGZ/version/5.7/download/</download_url>
        <uploaded_by><![CDATA[fthvd]]></uploaded_by>
        <create_date>2024-07-24T10:09:08.341464+00:00</create_date>
        <update_date>2026-03-17T06:51:36.558031+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fthvd/qpackageqgz/issues]]></tracker>
        <repository><![CDATA[https://github.com/fthvd/qpackageqgz]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>33210</downloads>
        <average_vote>3.8331736177659264</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DeraPro" version="0.4" plugin_id="3448">
        <description><![CDATA[DeraPro for projects and studies allows the download of the reference spatial data of Andalusia and make a cut of the information for a specific study area]]></description>
        <about><![CDATA[DeraPro for projects and studies allows the download of the reference spatial data of Andalusia and make a cut of the information for a specific study area]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mcanop/DeraPro]]></homepage>
        <file_name>dera_pro.0.4.zip</file_name>
        <icon>/media/packages/2025/icon_qGBZUcH.png</icon>
        <author_name><![CDATA[Manuel Cano]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dera_pro/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[mcanop]]></uploaded_by>
        <create_date>2024-07-26T11:57:59.742708+00:00</create_date>
        <update_date>2025-12-23T10:17:24.598239+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mcanop/DeraPro]]></tracker>
        <repository><![CDATA[https://github.com/mcanop/DeraPro]]></repository>
        <tags><![CDATA[vector,wfs,wms,andalucía,vectorial,espaciales,capas,información,dera,datos]]></tags>
        <downloads>3097</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Print Selection" version="0.1.3" plugin_id="3449">
        <description><![CDATA[Outputs selected features to text console.]]></description>
        <about><![CDATA[This plugin prints prints the currently selected features to a text console ordered by the layer they belong to.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GDS-Geo-Daten-Service-GmbH/qgis-print-selection]]></homepage>
        <file_name>print-selection.0.1.3.zip</file_name>
        <icon>/media/packages/2024/icon_ojIijDM.png</icon>
        <author_name><![CDATA[Andreas Steffens (GDS Geo Daten Service GmbH)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/print-selection/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[andreassteffens]]></uploaded_by>
        <create_date>2024-07-30T11:09:40.953228+00:00</create_date>
        <update_date>2024-08-18T18:50:37.013147+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GDS-Geo-Daten-Service-GmbH/qgis-print-selection/issues]]></tracker>
        <repository><![CDATA[https://github.com/GDS-Geo-Daten-Service-GmbH/qgis-print-selection]]></repository>
        <tags><![CDATA[selection,print,log]]></tags>
        <downloads>2767</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MariaDB to QGIS" version="1.0.3" plugin_id="3450">
        <description><![CDATA[Fetches longitude (x) and latitude (y) data from MariaDB and writes it to a Shapefile or GeoPackage and adds it to your map.]]></description>
        <about><![CDATA[This plugin enables users to connect to a MariaDB, select a specific table, and identify the spatial data columns for longitude (x) and latitude (y). Users can then export the data as Shapefiles or GeoPackages. The records with no longitude (x) and latitude (y) will show in QGIS as comma-separated values (CSV), which are stored in the specified directory, or table which is stored in the GeoPackage. The plugin streamlines the process of transferring spatial data from a selected MariaDB table into QGIS for enhanced analysis and visualization. With support for multiple data formats, it facilitates seamless integration of database information into QGIS projects. The default coordinate system in this plugin is EPSG:4326. Ensure you have the python mariadb and sqlalchemy module installed! On windows this can be installed using the OSGeo4W Shell. The plugin may give an error message if this is not installed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rubi3r3]]></homepage>
        <file_name>qgis_mariadb_plugin.1.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_XPRHJ84.png</icon>
        <author_name><![CDATA[Rubiere Arodi Ramirez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_mariadb_plugin/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[rubiere]]></uploaded_by>
        <create_date>2024-07-30T19:07:06.301513+00:00</create_date>
        <update_date>2024-08-27T15:49:06.840729+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rubi3r3/qgis_mariadb_plugin/issues]]></tracker>
        <repository><![CDATA[https://rubi3r3.github.io/qgis_mariadb_plugin/]]></repository>
        <tags><![CDATA[points,plugin,gis,mapping,mariadb,null geom,sqlalchemy]]></tags>
        <downloads>3159</downloads>
        <average_vote>4.799040191961607</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Online Map Linker" version="0.20250318" plugin_id="3451">
        <description><![CDATA[This plugin makes links from points to online map.]]></description>
        <about><![CDATA[This plugin makes links from point layer to online map. in ; Google Maps, Apple Maps, Open Street Map, Google Earth, Yahoo! MAP, Bing Maps and so on. You can link to these online maps. If you need other maps, please contact me.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SandaTakeru/online-map-linker]]></homepage>
        <file_name>online_map_linker.0.20250318.zip</file_name>
        <icon>/media/packages/2025/icon_5ckI2Au.png</icon>
        <author_name><![CDATA[Sanda Takeru]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/online_map_linker/version/0.20250318/download/</download_url>
        <uploaded_by><![CDATA[sandatakeru]]></uploaded_by>
        <create_date>2024-08-01T05:13:55.034092+00:00</create_date>
        <update_date>2025-03-18T07:31:06.502236+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SandaTakeru/online-map-linker/issues]]></tracker>
        <repository><![CDATA[https://github.com/SandaTakeru/online-map-linker]]></repository>
        <tags><![CDATA[html,map,web,link,google,csv,open,online]]></tags>
        <downloads>12445</downloads>
        <average_vote>4.190376419609057</average_vote>
        <rating_votes>42</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PhotoViewer360" version="2.0.1" plugin_id="3452">
        <description><![CDATA[PL: Wtyczka umożliwiająca import i wizualizację zdjęć panoramicznych.
ENG: Plugin for for importing and visualising local panoramic images.]]></description>
        <about><![CDATA[PL: Wtyczka pozwala na import zdjęć posiadających georeferencję i utworzenie z nich pliku GeoPackage, przeglądanie zdjęć panoramicznych i przechodzenie pomiędzy nimi poprzez kliknięcie na zdjęciu hotspota lub wskazanie punktu na mapie. Dodatkowo umożliwia śledzenie zwrotu kamery za pomocą radaru umieszczonego w punkcie na mapie, dla którego przeglądane jest zdjęcie oraz wygenerowanie raportu graficznego z aktualnym widokiem zdjęcia w formacie JPG/PNG.

ENG: Plugin allows to import geotagged panoramic photos and to create GeoPackage file with them. It has an ability to view panoramic photos and to switch between them by selecting a point on the map or clicking on the hotspot while viewing the photo. In addition, it allows you to track the return of the camera using the radar located at the point for which the photo is viewed and to generate a graphic report with the current view in JPG/PNG format.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://envirosolutions.pl/wtyczki-qgis/photoviewer360/]]></homepage>
        <file_name>PhotoViewer360.2.0.1.zip</file_name>
        <icon>/media/packages/2026/ikona_wtyczki_cnpKdOg.svg</icon>
        <author_name><![CDATA[EnviroSolutions Sp. z o.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PhotoViewer360/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[envirosolutions]]></uploaded_by>
        <create_date>2024-08-02T09:03:26.137443+00:00</create_date>
        <update_date>2026-04-16T08:18:10.141295+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/envirosolutionspl/PhotoViewer360/issues]]></tracker>
        <repository><![CDATA[https://github.com/envirosolutionspl/PhotoViewer360]]></repository>
        <tags><![CDATA[street view,images,cefpython,marzipano,local,equirectangular,360,photoviewer360,equirectangularviewer,panoramic photos]]></tags>
        <downloads>7336</downloads>
        <average_vote>4.4439506721475395</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WCS 2" version="0.6" plugin_id="3455">
        <description><![CDATA[An OGC WCS 2.0 Client to download spatio-temporal subsets from datacubes.]]></description>
        <about><![CDATA[The WCS 2.0 allows to send GetCapabilities, DescribeCoverage and GetCoverage requests from OGC WCS 2.0 compliant servers.
Unlike WMS, WCS enables access to the original data (and not just to portrayals).
The bands of interest from a multil-bands coverage can also be selected/sub-setted and their order in the output can be chosen.
The downloaded coverages are directly loaded as layers into QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://doc.rasdaman.org/11_cheatsheets.html#wcs-plugin]]></homepage>
        <file_name>QgisWcs2Client.0.6.zip</file_name>
        <icon>/media/packages/2025/icon_t8XUYHs.png</icon>
        <author_name><![CDATA[Bang Pham Huu; Dimitar Misev; Mikhail Rodionychev; Christian Schiller]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QgisWcs2Client/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[dmisev]]></uploaded_by>
        <create_date>2024-08-05T06:18:41.892130+00:00</create_date>
        <update_date>2025-05-09T07:07:02.367768+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rasdaman/QgisWcs2Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/rasdaman/QgisWcs2Plugin]]></repository>
        <tags><![CDATA[raster,download service,wcs,webservice,ogc,subsetting,online-access,time-series,areaofinterest,timeofinterest,wcs 2.0,rasdaman]]></tags>
        <downloads>2725</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TilePick" version="1.2" plugin_id="3456">
        <description><![CDATA[Easy load raster or point cloud tiles from index vector layer or map canvas position]]></description>
        <about><![CDATA[This plugin allow you to load raster files or point cloud files from a vector tile index that contains the path to it or it will automatically generate the path according to the map coordinates and the choosen configuration]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/elCreator/tilepick]]></homepage>
        <file_name>TilePick.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_b36zkHm.png</icon>
        <author_name><![CDATA[Eric Lefevre (DDT-67)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TilePick/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[ericlefevre]]></uploaded_by>
        <create_date>2024-08-05T07:21:34.359939+00:00</create_date>
        <update_date>2025-08-29T09:08:05.588700+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/elCreator/tilepick/-/incidents]]></tracker>
        <repository><![CDATA[https://gitlab.com/elCreator/tilepick.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2053</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Earth Observation Pavement Analysis" version="2" plugin_id="3458">
        <description><![CDATA[This plugin prepares the data sets to train, validate and assess earth observation imagery for pavement analysis]]></description>
        <about><![CDATA[This plugin is for the preperation of data sets for Machine learning in the analysis of earth observations imagery for pavement analyis (road condition)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/christopherusky/eo_pavement_analysis]]></homepage>
        <file_name>eo_pavement_analysis.2.zip</file_name>
        <icon>/media/packages/2024/icon_XjzzJSU.png</icon>
        <author_name><![CDATA[TRL Software]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eo_pavement_analysis/version/2/download/</download_url>
        <uploaded_by><![CDATA[ckettell]]></uploaded_by>
        <create_date>2024-08-06T14:15:04.535432+00:00</create_date>
        <update_date>2024-10-14T10:33:36.827085+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/christopherusky/eo_pavement_analysis/issues]]></tracker>
        <repository><![CDATA[https://github.com/christopherusky/eo_pavement_analysis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3374</downloads>
        <average_vote>4.799040191961607</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Value Regular" version="1.0" plugin_id="3460">
        <description><![CDATA[Smooth and interpolate grid from a Raster Layer using RegularGridInterpolator from scipy, then apply values to a vector layer as attribute.]]></description>
        <about><![CDATA[Smooth and interpolate grid from a Raster Layer using RegularGridInterpolator from scipy, then apply values to a vector layer as attribute.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/vincentBenet/Raster-Value-Regular/blob/main/README.md]]></homepage>
        <file_name>Raster-Value-Regular.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_jK5lK7c.png</icon>
        <author_name><![CDATA[Vincent Bénet]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Raster-Value-Regular/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[vincentbenet]]></uploaded_by>
        <create_date>2024-08-06T20:15:00.676952+00:00</create_date>
        <update_date>2024-08-06T20:15:02.941405+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vincentBenet/Raster-Value-Regular/issues]]></tracker>
        <repository><![CDATA[https://github.com/vincentBenet/Raster-Value-Regular]]></repository>
        <tags><![CDATA[vector,python,raster]]></tags>
        <downloads>4265</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Chainage Tool" version="1.3" plugin_id="3461">
        <description><![CDATA[This tool provides utility to convert line to chainage points.]]></description>
        <about><![CDATA[Provided with a polyline layer, start and end chainage, this plugin can interpolate Chainage consists of start/end point of line and chainage divisible by distance.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wayne19980/chainage_tool]]></homepage>
        <file_name>chainage_tool.1.3.zip</file_name>
        <icon>/media/packages/2025/icon_HthgrWf.png</icon>
        <author_name><![CDATA[Wayne]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/chainage_tool/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[wayne19980]]></uploaded_by>
        <create_date>2024-08-07T07:33:44.655078+00:00</create_date>
        <update_date>2025-01-10T09:40:15.000694+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wayne19980/chainage_tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/wayne19980/chainage_tool]]></repository>
        <tags><![CDATA[python,profile,chainage,points along lines,station,mileage]]></tags>
        <downloads>7585</downloads>
        <average_vote>3.888456838129097</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Verificar_Sobreposicao" version="0.1" plugin_id="3462">
        <description><![CDATA[Verifica sobreposição de feição]]></description>
        <about><![CDATA[Check for Overlapping Features in the Same Layer and Export. Click on the layer and then on the plugin. A new layer will be created containing the overlapping features. If there are no overlaps, the layer will be empty.Verifica sobreposições de feições na mesma camada e exporta. Clique na camada e depois no plugin. Uma nova camada será criada contendo as sobreposições. Caso não haja sobreposições, a camada estará vazia.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Annacezio-Brito/Verificar_Sobreposicao]]></homepage>
        <file_name>verificar_sobreposicao.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_ncyXQwE.png</icon>
        <author_name><![CDATA[Annacezio de Brito]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/verificar_sobreposicao/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[cesarbrito]]></uploaded_by>
        <create_date>2024-08-07T20:07:12.731272+00:00</create_date>
        <update_date>2024-08-07T20:07:14.803085+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/Annacezio-Brito/Verificar_Sobreposicao/issues]]></tracker>
        <repository><![CDATA[http://github.com/Annacezio-Brito/Verificar_Sobreposicao]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2408</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Atlas" version="1.3.0" plugin_id="3463">
        <description><![CDATA[Discover and share geospatial layers easily within QGIS]]></description>
        <about><![CDATA[Discover and share geospatial map layers effortlessly with the new Layer Atlas plugin for QGIS. This powerful tool enables fast and precise searches ensuring you find the layers you need quickly. Preview layers directly within QGIS to assess suitability, and conveniently add them to your your project with a simple drag-and-drop interface. Save frequently used layers to your favorites for easy access, streamlining your workflow and enhancing collaboration in geospatial projects.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jbp35/layer-atlas-plugin]]></homepage>
        <file_name>layeratlas.1.3.0.zip</file_name>
        <icon>/media/packages/2026/layer_atlas.png</icon>
        <author_name><![CDATA[Layer Atlas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layeratlas/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[jbpeter]]></uploaded_by>
        <create_date>2024-08-08T16:23:27.657480+00:00</create_date>
        <update_date>2026-03-15T11:46:42.782738+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jbp35/layer-atlas-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/jbp35/layer-atlas-plugin]]></repository>
        <tags><![CDATA[map,layer,atlas,service,internet,basemap,collection,world]]></tags>
        <downloads>4695</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Select Lines" version="0.4.2" plugin_id="3464">
        <description><![CDATA[Select Lines]]></description>
        <about><![CDATA[Enables selecting line featuers based that pass through all the drawn lines.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Shai2u/select_lines_by_drawing]]></homepage>
        <file_name>SelectLines.0.4.2.zip</file_name>
        <icon>/media/packages/2024/icon_B1bvz0n.png</icon>
        <author_name><![CDATA[Shai Sussman]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SelectLines/version/0.4.2/download/</download_url>
        <uploaded_by><![CDATA[shaisussman]]></uploaded_by>
        <create_date>2024-08-08T18:52:18.978158+00:00</create_date>
        <update_date>2024-09-09T18:23:14.404590+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Shai2u/select_lines_by_drawing/issues]]></tracker>
        <repository><![CDATA[https://github.com/Shai2u/select_lines_by_drawing]]></repository>
        <tags><![CDATA[selection,layer,filter,transportation]]></tags>
        <downloads>4311</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AutonomousGIS_GeoDataRetrieverAgent" version="1.1" plugin_id="3468">
        <description><![CDATA[An autonomous agent framework to select geospatial data and then fetch data by generating and executing programs with self-debugging.]]></description>
        <about><![CDATA[The GeoData Retriever Agent is a plugin integration of an autonomous GIS agent for geospatial data retrieval and QGIS. This plugin simplifies the process of retrieving and loading geospatial data into the QGIS environment through natural language commands.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Teakinboyewa/AutonomousGIS_GeodataRetrieverAgent]]></homepage>
        <file_name>AutonomousGIS_GeodataRetrieverAgent.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_7HeFcEx.png</icon>
        <author_name><![CDATA[Temitope Akinboyewa, Zhenlong Li, Huan Ning, and M. Naser Lessani]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AutonomousGIS_GeodataRetrieverAgent/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[tea5209]]></uploaded_by>
        <create_date>2024-08-12T16:22:56.421337+00:00</create_date>
        <update_date>2025-12-19T07:16:14.276941+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Teakinboyewa/AutonomousGIS_GeodataRetrieverAgent/issues]]></tracker>
        <repository><![CDATA[https://github.com/Teakinboyewa/AutonomousGIS_GeodataRetrieverAgent]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4849</downloads>
        <average_vote>4.823387547425076</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QMapOD" version="3.1" plugin_id="3474">
        <description><![CDATA[O/D survey mapping under QGIS / Spatialite]]></description>
        <about><![CDATA[QMapOD - SIGéal, Oslandia pour Test-SA]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/Oslandia/qgis/qmapod]]></homepage>
        <file_name>qmapod.3.1.zip</file_name>
        <icon>/media/packages/2024/icon_VuNMM7l.png</icon>
        <author_name><![CDATA[SIGéal, Oslandia, for Test-SA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qmapod/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2024-08-19T09:35:58.377074+00:00</create_date>
        <update_date>2024-10-24T15:47:55.463930+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/qmapod/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/qmapod]]></repository>
        <tags><![CDATA[mobilité,transports collectifs,enquêtes]]></tags>
        <downloads>1975</downloads>
        <average_vote>3.1107654705032775</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="3D Arcs" version="0.2" plugin_id="3476">
        <description><![CDATA[Tool to convert 2D lines to 3D Arcs]]></description>
        <about><![CDATA[This tool transforms 2D lines into 3D arcs, similar to Deck.gl’s 3D arc layer. The 3D data is embedded directly in the feature’s geometry, allowing users to visualize the arcs in QGIS 3D. Additionally, the 3D arcs can be exported as GeoJSON for use in other platforms that support 3D coordinates.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Shai2u/qgis_3d_arcs/]]></homepage>
        <file_name>arc_3d.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_INxKlqM.png</icon>
        <author_name><![CDATA[Shai Sussman]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arc_3d/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[shaisussman]]></uploaded_by>
        <create_date>2024-08-20T18:10:54.937297+00:00</create_date>
        <update_date>2024-08-24T19:22:25.677251+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Shai2u/qgis_3d_arcs/issues]]></tracker>
        <repository><![CDATA[https://github.com/Shai2u/qgis_3d_arcs/]]></repository>
        <tags><![CDATA[python,3d]]></tags>
        <downloads>39194</downloads>
        <average_vote>4.228777722222693</average_vote>
        <rating_votes>118</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RealEarth" version="0.8.3" plugin_id="3479">
        <description><![CDATA[This plugin allows users to directly access SSEC RealEarth web services public catalog of near real-time satellite imagery and related ancillary data through the OGC standard web services of WMTS and WFS.  A login to RealEarth is recommended to extend data volume quota before watermarking occurs, but is not required.]]></description>
        <about><![CDATA[SSEC RealEarth is a visualization platform developed at the Space Science &amp; Engineering Center at the University of Wisconsin-Madison. Its purpose is to allow visualization of near real-time satellite imagery and sensor data from a multitude of sources in a common web mapping interface. Combining atmospheric science and meteorology data with land remote sensing data in a GIS interface is challenging. This is largely because weather data tends to have high temporal resolution and cadence but low spatial resolution while land observations tend to have low temporal resolution and cadence but high spatial resolution. The ingest processes of RealEarth translate incoming data from formats such as NetCDF, grib2, csv, to GeoTIFF or GeoJSON with a focus on time and location. Once ingested, these data are available through OGC web services. The challenges for displaying weather data in GIS revolve around time series animation, caching, and keeping data current. This plugin addresses these challenges.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.ssec.wisc.edu/realearth/]]></homepage>
        <file_name>realearth-main.0.8.3.zip</file_name>
        <icon>/media/packages/2024/icon_20UR6O7.png</icon>
        <author_name><![CDATA[SSEC RealEarth Team, University of Wisconsin-Madison]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/realearth-main/version/0.8.3/download/</download_url>
        <uploaded_by><![CDATA[realearth]]></uploaded_by>
        <create_date>2024-08-22T20:01:05.410866+00:00</create_date>
        <update_date>2024-09-18T15:43:48.305588+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.ssec.wisc.edu/blin/realearth/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.ssec.wisc.edu/blin/realearth]]></repository>
        <tags><![CDATA[wfs,nasa,radar,weather,wmts,goes,meteorology,satellite imagery,sea surface temperature,ssec,fire detection,viirs,weather model,polar orbiting,land remote sensing,noaa,realearth,near real-time,smoke forecast,uw-madison,geostationary]]></tags>
        <downloads>11047</downloads>
        <average_vote>4.187238297606399</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Yarding Distance" version="0.20250624" plugin_id="3480">
        <description><![CDATA[This plugin calculates the &quot;Yarding Distance&quot; (average distance from polygons to yarding points) using either Euclidean or Manhattan distance. It outputs log points, yarding points, connecting lines, and polygons with mean yarding distance attributes. All calculations are performed in the CRS of the input polygon layer. 日本語説明: ポリゴン（伐区）から土場（ポイント）までの平均集材距離を計算します。ユークリッド距離またはマンハッタン距離を選択可能です。出力は伐木点、土場、集材線、平均集材距離付きポリゴンです。]]></description>
        <about><![CDATA[Yarding Distance plugin calculates the average distance from each log point (generated within a polygon) to the nearest yarding point (土場), using either Euclidean (直線距離) or Manhattan (碁盤目状の道に沿った距離) distance. The plugin generates four output layers: (1) log points within polygons, (2) yarding points with mean yarding distance, (3) lines connecting each log point to its nearest yarding point, and (4) polygons with mean yarding distance as an attribute. All distance calculations use the CRS of the input polygon layer. &lt;br&gt;&lt;br&gt;このプラグインは、伐区（ポリゴン）内に伐木点を自動生成し、各伐木点から最も近い土場（ポイント）までの距離を計算します。距離はユークリッド距離（直線）またはマンハッタン距離（縦横の道に沿った距離）から選択できます。出力は、伐木点、土場ごとの平均集材距離、伐木点と土場を結ぶ線、平均集材距離付きポリゴンの4レイヤです。計算は入力ポリゴンレイヤの座標系で行われます。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SandaTakeru/Yarding-Distance.git]]></homepage>
        <file_name>yarding_distance.0.20250624.zip</file_name>
        <icon>/media/packages/2025/icon_HOUn1aA.png</icon>
        <author_name><![CDATA[Sanda Takeru]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/yarding_distance/version/0.20250624/download/</download_url>
        <uploaded_by><![CDATA[sandatakeru]]></uploaded_by>
        <create_date>2024-08-27T07:34:21.011594+00:00</create_date>
        <update_date>2025-06-24T06:18:04.524696+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SandaTakeru/Yarding-Distance/issues]]></tracker>
        <repository><![CDATA[https://github.com/SandaTakeru/Yarding-Distance.git]]></repository>
        <tags><![CDATA[python,distance,path,forestry,average,wood,skidding,woods,yarding]]></tags>
        <downloads>1902</downloads>
        <average_vote>4.999500049995</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Theme Switcher" version="0.1.1" plugin_id="3482">
        <description><![CDATA[This plugin adds a popup to easily switch between layer themes]]></description>
        <about><![CDATA[This plugin adds a popup to easily switch between layer themes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DOV-Vlaanderen/qgis-theme-switcher]]></homepage>
        <file_name>theme_switcher.0.1.1.zip</file_name>
        <icon>/media/packages/2024/map_0xHzWtf.png</icon>
        <author_name><![CDATA[Roel Huybrechts]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/theme_switcher/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[rulus]]></uploaded_by>
        <create_date>2024-08-30T08:56:34.737610+00:00</create_date>
        <update_date>2024-08-30T08:56:36.997715+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DOV-Vlaanderen/qgis-theme-switcher/issues]]></tracker>
        <repository><![CDATA[https://github.com/DOV-Vlaanderen/qgis-theme-switcher]]></repository>
        <tags><![CDATA[python,layer,theme]]></tags>
        <downloads>1404</downloads>
        <average_vote>3.570918440222825</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="layer_style_master" version="0.1" plugin_id="3483">
        <description><![CDATA[This QGIS plugin copies symbology, labels, and rendering settings from one layer to multiple other layers.]]></description>
        <about><![CDATA[LayerStyleMaster is a QGIS plugin designed to streamline the process of managing and applying styling across multiple vector layers. With this plugin, users can easily copy and apply various layer properties from a source layer to one or more target layers. Specifically, the plugin allows users to: Symbology: Copy the visual styling, including colors, symbols, and styles, from a source layer to target layers. Labels: Transfer label settings such as text formatting, placement, buffer, shadow, and scale-based visibility. Rendering: Apply scale-based rendering settings to ensure consistent visibility of layers across different map scales. This tool enhances efficiency by automating the application of complex styling configurations, making it easier to maintain consistency in visual representation across multiple layers in a QGIS project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Ahmadsj2024/Layer-Style-Master]]></homepage>
        <file_name>layer_style_master.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Dr. Ahmad Sahraei Juybari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer_style_master/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[ahmadii2024]]></uploaded_by>
        <create_date>2024-09-01T10:16:11.618126+00:00</create_date>
        <update_date>2024-09-01T10:16:13.660137+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Ahmadsj2024/Layer-Style-Master/issues]]></tracker>
        <repository><![CDATA[https://github.com/Ahmadsj2024/Layer-Style-Master.git]]></repository>
        <tags><![CDATA[labeling,rendering,qgis,symbology,layer management]]></tags>
        <downloads>2956</downloads>
        <average_vote>2.9994001199760048</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KGR Finder" version="0.3" plugin_id="3484">
        <description><![CDATA[By simply drawing polygons or clicking on existing polygons, this extension makes it possible to download data from Open Street Map (OSM) or the iDAI.gazetteer and display it on the map, including all existing attributes. The plugin is designed so that other services can also be easily integrated in the future.]]></description>
        <about><![CDATA[Find cultural heritage from OpenStreetMap and iDAI.Gazetteer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dainst/kgr_finder]]></homepage>
        <file_name>kgr_finder.0.3.zip</file_name>
        <icon>/media/packages/2024/greif_hLHo42M.png</icon>
        <author_name><![CDATA[German Archaeological Institute, csgis GbR.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kgr_finder/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[2109]]></uploaded_by>
        <create_date>2024-09-02T07:58:09.113849+00:00</create_date>
        <update_date>2024-12-02T09:45:32.796310+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dainst/kgr_finder/issues]]></tracker>
        <repository><![CDATA[https://github.com/dainst/kgr_finder]]></repository>
        <tags><![CDATA[python,osm,heritage,cultural,idai.gazetteer]]></tags>
        <downloads>2936</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SHP Buddy" version="1.1.5" plugin_id="3486">
        <description><![CDATA[Quickly create shapefiles for breeding experiments]]></description>
        <about><![CDATA[SHP Buddy provides an easy and intuitive way for creating shapefile grids for breeding plots.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nburner96/shp_buddy]]></homepage>
        <file_name>shp_buddy.1.1.5.zip</file_name>
        <icon>/media/packages/2024/icon_ypfe1wA.png</icon>
        <author_name><![CDATA[Nathaniel Burner]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shp_buddy/version/1.1.5/download/</download_url>
        <uploaded_by><![CDATA[nburner]]></uploaded_by>
        <create_date>2024-09-05T16:59:18.137301+00:00</create_date>
        <update_date>2025-02-28T15:31:50.178429+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nburner96/shp_buddy/issues]]></tracker>
        <repository><![CDATA[https://github.com/nburner96/shp_buddy]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4738</downloads>
        <average_vote>4.499678594386116</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TreeEyed" version="0.2.0" plugin_id="3487">
        <description><![CDATA[TreeEyed is a QGIS plugin for tree monitoring using AI.]]></description>
        <about><![CDATA[TreeEyed is a QGIS plugin for tree monitoring using AI.
Features:
This plugin seeks to integrate existing and custom AI models for tree monitoring (semantic segmentation, instance segmentation, and object detection) in RGB imagery.
Dependencies:
-opencv-python
-onnxruntime-gpu
-gdown
-pycocotools
-deepforest
-HighResCanopyHeight
-VHRTrees]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://treeeyed.readthedocs.io/en/latest/]]></homepage>
        <file_name>tree_eyed.0.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_name_gESHD3z.png</icon>
        <author_name><![CDATA[Andres Felipe Ruiz-Hurtado, Tropical Forages Program - CIAT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tree_eyed/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[afruizh]]></uploaded_by>
        <create_date>2024-09-05T22:07:11.437526+00:00</create_date>
        <update_date>2025-09-12T22:52:25.524691+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/afruizh/TreeEyed/issues]]></tracker>
        <repository><![CDATA[https://github.com/afruizh/TreeEyed]]></repository>
        <tags><![CDATA[vector,python,raster,analysis,digitizing,remote sensing,validation,image,machine learning,segmentation,canopy,deep learning,neural network,satellite imagery,automation,dataset,ai,onnxruntime,onnx,detection,tree monitoring,silvopasture,highrescanopyheight,tree count,maskrcnn,canopy height,tree crown,silvopastoral systems,drone imagery,tree area,computer vision,deepforest,coco,instance segmentation,tree,semantic segmentation,dinov2,vhrtrees]]></tags>
        <downloads>10537</downloads>
        <average_vote>3.7737645980404992</average_vote>
        <rating_votes>84</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="String Writer" version="0.2" plugin_id="3488">
        <description><![CDATA[Writes QGIS layers to Surpac string file format]]></description>
        <about><![CDATA[Write point and linestring layers to string file format used in Surpac and other 3D mine planning software. If layers have z values these will be written to the z field of the string file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fishzam/string_writer]]></homepage>
        <file_name>string_writer.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_f3Y85lD.png</icon>
        <author_name><![CDATA[Paddy Fisher]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/string_writer/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[pfisher]]></uploaded_by>
        <create_date>2024-09-06T06:26:12.016748+00:00</create_date>
        <update_date>2024-11-13T08:21:53.542350+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fishzam/string_writer/issues]]></tracker>
        <repository><![CDATA[https://github.com/fishzam/string_writer]]></repository>
        <tags><![CDATA[export,string,surpac]]></tags>
        <downloads>1749</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Historique Parcelle" version="0.2" plugin_id="3489">
        <description><![CDATA[Historique des parcelles (cadastre français)]]></description>
        <about><![CDATA[Rechercher et visualiser l&#x27;historique des parcelles directement dans QGIS. Retrouver la localisation d&#x27;anciennes parcelles. Le plugin utilise l&#x27;API HistoriqueParcelle.fr pour interroger l&#x27;historique des parcelles.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.historiqueparcelle.fr]]></homepage>
        <file_name>historique_parcelle.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[HistoriqueParcelle.fr]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/historique_parcelle/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[romain974]]></uploaded_by>
        <create_date>2024-09-09T13:00:48.518708+00:00</create_date>
        <update_date>2025-09-24T15:59:41.334083+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/romain974/qgis_historiqueparcelle]]></tracker>
        <repository><![CDATA[https://github.com/romain974/qgis_historiqueparcelle]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2012</downloads>
        <average_vote>2.9992501874531365</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Jilin1Info(2023)" version="1.1" plugin_id="3491">
        <description><![CDATA[2023年全国50cm吉林一号影像拍摄日期查询]]></description>
        <about><![CDATA[你知道吗？只要你提供切片层级和经纬度坐标，就可以知道镶嵌底图是用的哪一天拍摄的了。更多信息访问毛毛De地理空间：https://gis.lreept.space]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LreeLenn/Jilin1Info-2023-]]></homepage>
        <file_name>Jilin1Info-2023-.1.1.zip</file_name>
        <icon>/media/packages/2024/gis.lreept.space.png</icon>
        <author_name><![CDATA[lreept]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Jilin1Info-2023-/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[lreept]]></uploaded_by>
        <create_date>2024-09-14T08:18:24.580535+00:00</create_date>
        <update_date>2024-09-17T16:05:44.444525+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LreeLenn/Jilin1Info-2023-/issues]]></tracker>
        <repository><![CDATA[https://github.com/LreeLenn/Jilin1Info-2023-]]></repository>
        <tags><![CDATA[jilin1]]></tags>
        <downloads>2007</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VectorStats" version="1.0" plugin_id="3492">
        <description><![CDATA[Plugin for descriptive and statistical analysis of vectors, with chart generation]]></description>
        <about><![CDATA[Plugin for descriptive and statistical analysis of vectors, with chart generation]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bsensix/VectorStats]]></homepage>
        <file_name>VectorStats.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Breno Nunes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VectorStats/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[1697b]]></uploaded_by>
        <create_date>2024-09-16T21:26:18.680524+00:00</create_date>
        <update_date>2024-09-16T21:26:21.194224+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bsensix/VectorStats/issues]]></tracker>
        <repository><![CDATA[https://github.com/bsensix/VectorStats]]></repository>
        <tags><![CDATA[statistics]]></tags>
        <downloads>3996</downloads>
        <average_vote>3.4991252186953257</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RiverBankErosionAndAccretion" version="0.1" plugin_id="3493">
        <description><![CDATA[This plugin calculates the erosion and accretion along a river&#x27;s course.]]></description>
        <about><![CDATA[This plugin is designed to calculate erosion and accretion along a river&#x27;s course by analyzing spatial data over time. It allows users to quantify changes in the river&#x27;s shape, helping in understanding the dynamics of river morphology. The results can be used for environmental monitoring, river management, and assessing the impact of natural and human activities on riverbanks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/srijaroy/RiverBankErosionAccretion]]></homepage>
        <file_name>RiverBankErosionAccretion-main.0.1.zip</file_name>
        <icon>/media/packages/2025/generated-image.png</icon>
        <author_name><![CDATA[Srija Roy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RiverBankErosionAccretion-main/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[srijaroy555]]></uploaded_by>
        <create_date>2024-09-19T04:06:31.539210+00:00</create_date>
        <update_date>2024-09-19T04:06:35.348126+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/srijaroy/RiverBankErosionAccretion/issues]]></tracker>
        <repository><![CDATA[https://github.com/srijaroy/RiverBankErosionAccretion.git]]></repository>
        <tags><![CDATA[spatial,gis,river,qgis,environment,morphology,erosion,accretion,riverbank]]></tags>
        <downloads>1781</downloads>
        <average_vote>4.829684474798409</average_vote>
        <rating_votes>47</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CartAGen" version="1.0.5" plugin_id="3494">
        <description><![CDATA[Cartographic generalization]]></description>
        <about><![CDATA[Provide cartographic generalization algorithms from the cartagen python library.

This plugin relies on a Python library that is currently under development, if you experience a crash, try upgrading your version of cartagen before opening an issue on the project&#x27;s GitHub repository.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://cartagen.readthedocs.io/en/latest/]]></homepage>
        <file_name>cartagen4qgis.1.0.5.zip</file_name>
        <icon>/media/packages/2026/cartagen_edWh9L5.png</icon>
        <author_name><![CDATA[Guillaume Touya, Justin Berli &amp; Paul Bourcier]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cartagen4qgis/version/1.0.5/download/</download_url>
        <uploaded_by><![CDATA[jberli]]></uploaded_by>
        <create_date>2024-09-19T08:49:05.450181+00:00</create_date>
        <update_date>2026-04-10T15:10:28.340824+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LostInZoom/cartagen-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/LostInZoom/cartagen-qgis]]></repository>
        <tags><![CDATA[python,cartography,generalisation]]></tags>
        <downloads>3204</downloads>
        <average_vote>4.799040191961607</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Topo Maps" version="1.2" plugin_id="3496">
        <description><![CDATA[微地形図の生成。Generate Topographic Maps.]]></description>
        <about><![CDATA[TopoMapsは、DTMから微地形図を作成する為のプラグインです。微地形図は傾斜や地形の変化（尾根や谷、または凹凸）をわかりやすく表した図の事です。ユーザーは「Original」「Vintage」「RGB」の 3つのスタイルから選択するか、あるいは自分で各材料のカラーマップを独自に調整し、自分だけの微地形図を作成する事ができます。これは山林の詳細な地形を把握する為のものであり、市街地の為のものではありません。現在は地理座標系のデータを使用するのはおススメできませんが、将来的には対応するつもりです。TopoMaps is a plug-in for creating microtopographic maps from DTM. A microtopographic map is a map that shows the slope and topographic changes (ridges, valleys, or unevenness) in an easy-to-understand manner. Users can choose from three styles (Original, Vintage, or RGB) or create their own microtopography maps by adjusting the color map of each material. This is for detailed topographic mapping of mountainous forests, not for urban areas. We do not recommend using geographic coordinate system data at this time, but we intend to support it in the future.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/shingo405nagano/generating_topoglaphic_maps]]></homepage>
        <file_name>generating_topoglaphic_maps-main.1.2.zip</file_name>
        <icon>/media/packages/2024/icon_Gjt7seU.png</icon>
        <author_name><![CDATA[Shingo Nagano]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/generating_topoglaphic_maps-main/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[daidai168]]></uploaded_by>
        <create_date>2024-09-20T12:43:37.904823+00:00</create_date>
        <update_date>2024-11-29T14:13:14.063505+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/shingo405nagano/generating_topoglaphic_maps/issues]]></tracker>
        <repository><![CDATA[https://github.com/shingo405nagano/generating_topoglaphic_maps]]></repository>
        <tags><![CDATA[raster,dem,slope,dtm,tiff,hillshade,visualize,geotiff,topographic,tri,tpi]]></tags>
        <downloads>13891</downloads>
        <average_vote>4.239830406783728</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Attribute Searcher" version="1.0" plugin_id="3497">
        <description><![CDATA[A minimalistic plugin to search for values in attributes quick and easy.]]></description>
        <about><![CDATA[This plugin searches for a value in an user-specified attribute through a menu which is docked in the layout window.
It was originally created for searching IDs of a Basisregistratie Adressen en Gebouwen (BAG) dataset without needing another attribute table window. The attribute table felt a bit overwhelming, so I found reason to make a more minimalistic version for attribute searching.
The plugin works by selecting a attribute from the active layer from the built-in dropdown menu.
After that you can search for values that are in the specific attribute. If it finds a match, you&#x27;ll get a message and the view pans over to the found object.
If there is no match, you&#x27;ll get an error-message. This has only been tested in Windows 11 and QGIS version 3.34 LTR.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis.org/]]></homepage>
        <file_name>AttributeSearcher.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_rQCjxrj.png</icon>
        <author_name><![CDATA[Leon Cocco]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AttributeSearcher/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[kokosnootje92]]></uploaded_by>
        <create_date>2024-09-23T15:26:42.653315+00:00</create_date>
        <update_date>2024-09-23T15:26:46.521759+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kokosnootje92/qgis-attribute-searcher/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kokosnootje92/qgis-attribute-searcher]]></repository>
        <tags><![CDATA[python,layer,search,attribute,select,zoom,pan,value]]></tags>
        <downloads>5216</downloads>
        <average_vote>4.399706686220918</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Light" version="0.1.1" plugin_id="3498">
        <description><![CDATA[QGIS made simple - a light user interface for core GIS functions.]]></description>
        <about><![CDATA[This plugin simplifies the QGIS user interface by reducing the number of
toolbars, panels, and widgets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ITC-CRIB/qgis-light]]></homepage>
        <file_name>qgis-light.0.1.1.zip</file_name>
        <icon>/media/packages/2024/qgis-green_EJX069v.png</icon>
        <author_name><![CDATA[Serkan Girgin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-light/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[girgink]]></uploaded_by>
        <create_date>2024-09-24T15:06:14.796766+00:00</create_date>
        <update_date>2024-09-26T17:56:41.939726+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ITC-CRIB/qgis-light/issues]]></tracker>
        <repository><![CDATA[https://github.com/ITC-CRIB/qgis-light]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2816</downloads>
        <average_vote>4.499678594386116</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Reach" version="1.0.0" plugin_id="3500">
        <description><![CDATA[Enables the use of real transit time as a spatial predicate for selects and joins.]]></description>
        <about><![CDATA[Enables Spatial Join and Select by Location with transit time by a specified means of travel instead of by geometric radius. Requires an API key from Open Route Service (available free from openrouteservice.org)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/austinkotting/reach]]></homepage>
        <file_name>Reach.1.0.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Austin Kotting]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Reach/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[austinkotting]]></uploaded_by>
        <create_date>2024-09-27T10:09:23.827443+00:00</create_date>
        <update_date>2024-09-27T10:09:26.152606+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/austinkotting/reach]]></tracker>
        <repository><![CDATA[https://github.com/austinkotting/reach]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>661</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Continuous Network Analysis (Processing)" version="0.6" plugin_id="3502">
        <description><![CDATA[Processing plugin that adds several scripts to assist in decision making and validation of line-type vector networks by generating inconsistencies, further expanding the “Network Analysis” tool.]]></description>
        <about><![CDATA[-The plugin focuses on analyzing vector networks. The plugin offers a range of procedures for analyzing line-type vector networks. The procedures are:

🔹Attribute Discontinuity Detector.
*It performs a series of processes to identify discontinuities of a selected attribute within a line-type vector network and generates a file that points out the attribute discontinuities along the network.
🔹Dangle Analysis.
*Identifies dangles (line sections that do not connect to other lines) in a vector network layer and checks the overlap of these dangles with several layers selected by the user.
🔹Extract Springs.
*The program performs a series of processes to identify and extract sources from a vector network.
🔹Identify Dangles.
*Finds dangles (loose ends) in a line type layer
🔹Disconnected Network Segments.
*Performs a series of procedures to verify the topological connectivity of a line layer from an initial layer.
🔹Pseudo-node.
*Identifies pseudo-nodes in a line layer and returns points with the attributes of the two segments connected at that node.
🔹Pseudo-node Analysis.
*It analyzes whether the breaks (Pseudo-node) are topologically connected to the vertices of the layers that the user selected.
🔹Vertex Connection Counter.
*Calculates which vertices in a line network are connected to other vertices, and how many connections each has.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MatheusOliveiraFreitas/Continuous-Network-Analysis]]></homepage>
        <file_name>continuous_network_analysis.0.6.zip</file_name>
        <icon>/media/packages/2025/icon_iw3AWxR.png</icon>
        <author_name><![CDATA[Matheus Oliveira de Freitas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/continuous_network_analysis/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[matheus303]]></uploaded_by>
        <create_date>2024-09-30T11:25:45.427337+00:00</create_date>
        <update_date>2025-09-22T22:12:05.086406+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MatheusOliveiraFreitas/Continuous-Network-Analysis]]></tracker>
        <repository><![CDATA[https://github.com/MatheusOliveiraFreitas/Continuous-Network-Analysis]]></repository>
        <tags><![CDATA[vector,python,processing,script,provider]]></tags>
        <downloads>6544</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Project Setup" version="1.1" plugin_id="3503">
        <description><![CDATA[set up project variables, default geopackages, manage connections.]]></description>
        <about><![CDATA[Setup includes setting project variables and accessing template geopackages.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/millsapjohn/qgis_project_setup]]></homepage>
        <file_name>ProjectSetup.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[John Millsap]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ProjectSetup/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[millsapjohn]]></uploaded_by>
        <create_date>2024-09-30T21:36:36.499174+00:00</create_date>
        <update_date>2026-03-11T15:03:37.336355+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/millsapjohn/qgis_project_setup/issues]]></tracker>
        <repository><![CDATA[https://github.com/millsapjohn/qgis_project_setup]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2286</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Pian Exporter" version="1.3" plugin_id="3504">
        <description><![CDATA[The plugin exports the vector layer in WKT format for PIAN.]]></description>
        <about><![CDATA[The plugin exports the vector layer in WKT format, which is compatible with the Archaeological Map of the Czech Republic (PIAN). To use it, simply launch the plugin, select the layer you wish to export, and choose an output file with a .csv extension.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MarekL75/pian_exporter]]></homepage>
        <file_name>pian_exporter.1.3.zip</file_name>
        <icon>/media/packages/2026/icon_IR12r9z.png</icon>
        <author_name><![CDATA[Marek Lečbych]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pian_exporter/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[mlec]]></uploaded_by>
        <create_date>2024-10-02T09:20:55.962947+00:00</create_date>
        <update_date>2026-04-15T16:18:49.158789+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ARUP-CAS/aiscr-qgis-pian-exporter/issues]]></tracker>
        <repository><![CDATA[https://github.com/ARUP-CAS/aiscr-qgis-pian-exporter]]></repository>
        <tags><![CDATA[python,pian,amčr]]></tags>
        <downloads>1053</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Filter and Selection" version="1.4" plugin_id="3506">
        <description><![CDATA[Plugin for easy selection and filtering features.]]></description>
        <about><![CDATA[EN: With plugin you can easy select layer and field in layer and than just paste list of selecting/filtering features from excel or txt list where feature are separeted by new line, now click button and enjoy job done without manual writing long SQL expresion to simple select object from list.
Other feature: select/filter duplicates/nonduplicates by Layer and Field

PL: Z pluginem łatwo wybierzesz warstwe, pole z warstwy i wkleisz liste z excel lub pliku txt, gdzie elementy są rozdzielane nową linią, teraz klikasz przycisk i ciesz się wykonaną pracą bez pisania długiego wyrażenia sql do wykonania prostej selecji obiektów z listy.
Inny feature: selekcja/filtr duplików/nieduplikatów na podstaiwe Warstwy i pola.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/Rzezimioszek]]></homepage>
        <file_name>easy_filter_and_selection.1.4.zip</file_name>
        <icon>/media/packages/2026/icon_nKZgMVa.png</icon>
        <author_name><![CDATA[Łukasz Świątek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easy_filter_and_selection/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[rzezimioszek]]></uploaded_by>
        <create_date>2024-10-03T09:08:30.048827+00:00</create_date>
        <update_date>2026-03-22T15:35:03.133481+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rzezimioszek/QGIS-easy-filter-selection/issues]]></tracker>
        <repository><![CDATA[https://github.com/Rzezimioszek/QGIS-easy-filter-selection]]></repository>
        <tags><![CDATA[selection,python,sql,filter,select,expresion,selecting,filering,filtr]]></tags>
        <downloads>4583</downloads>
        <average_vote>4.713612341094129</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Relation Manager" version="1.4.1" plugin_id="3507">
        <description><![CDATA[this plugin helps in the management of 1:N project relations]]></description>
        <about><![CDATA[The QGIS Relations Management Plugin simplifies the handling of 1:N relationships in QGIS projects. It allows users to view, modify, duplicate, delete, export, and import relationships between layers. The plugin also provides a history of changes for rollback. Ideal for managing complex geospatial data, it streamlines project organization and ensures relational integrity with an easy-to-use interface.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fgianoli/RelationshipManager]]></homepage>
        <file_name>relazioniplugin.1.4.1.zip</file_name>
        <icon>/media/packages/2026/icon_lCer5xP.png</icon>
        <author_name><![CDATA[Federico Gianoli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/relazioniplugin/version/1.4.1/download/</download_url>
        <uploaded_by><![CDATA[fritz4]]></uploaded_by>
        <create_date>2024-10-03T16:59:37.259612+00:00</create_date>
        <update_date>2026-03-09T11:22:14.936401+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fgianoli/RelationshipManager/issues]]></tracker>
        <repository><![CDATA[https://github.com/fgianoli/RelationshipManager]]></repository>
        <tags><![CDATA[relationship,relation,1:n,project relations]]></tags>
        <downloads>3587</downloads>
        <average_vote>4.181438051086265</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Aerodrome Utilities" version="0.0.6-hotfix1" plugin_id="3508">
        <description><![CDATA[Fetches OSM Data and processes it for aerodroms with various algorithms]]></description>
        <about><![CDATA[Fetches OSM Data and processes it for aerodroms with various algorithms]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BrakingChanges/widen-line-qgis-plugin]]></homepage>
        <file_name>widen-line-qgis-plugin.0.0.6-hotfix1.zip</file_name>
        <icon>/media/packages/2025/icon_9QOAupT.png</icon>
        <author_name><![CDATA[Aiden Omondi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/widen-line-qgis-plugin/version/0.0.6-hotfix1/download/</download_url>
        <uploaded_by><![CDATA[vacousveracity]]></uploaded_by>
        <create_date>2024-10-04T02:20:34.794345+00:00</create_date>
        <update_date>2025-09-14T13:51:06.964568+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BrakingChanges/widen-line-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/BrakingChanges/widen-line-qgis-plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8217</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AutonomousGIS-SpatialAnalysisAgent" version="1.3" plugin_id="3517">
        <description><![CDATA[The Spatial Analysis Agent is a user-friendly plugin that serves as a &quot;Copilot&quot; in QGIS software. This Copilot allows users to perform geospatial analysis directly within QGIS using natural language queries, making it accessible for both experts and beginners. The plugin leverages the full potential of over 600 QGIS processing tools, and other external tools such as Python libraries (e.g., Geopandas, seaborn, etc.). Whether working with vector data, raster analysis, the Spatial Analysis Agent offers a flexible, AI-driven approach to enhance and automate GIS workflows.]]></description>
        <about><![CDATA[The Spatial Analysis Agent is a user-friendly plugin that serves as a &quot;Copilot&quot; in QGIS software.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Teakinboyewa/SpatialAnalysisAgent]]></homepage>
        <file_name>SpatialAnalysisAgent-master.1.3.zip</file_name>
        <icon>/media/packages/2025/icon_teuFyIT.png</icon>
        <author_name><![CDATA[Temitope Akinboyewa, Zhenlong Li, Huan Ning, and M. Naser Lessani]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SpatialAnalysisAgent-master/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[tea5209]]></uploaded_by>
        <create_date>2024-10-14T03:35:29.835364+00:00</create_date>
        <update_date>2025-12-19T07:10:20.519325+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Teakinboyewa/SpatialAnalysisAgent/issues]]></tracker>
        <repository><![CDATA[https://github.com/Teakinboyewa/SpatialAnalysisAgent]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>18602</downloads>
        <average_vote>4.696261509174006</average_vote>
        <rating_votes>135</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeOSPR" version="1.2.1" plugin_id="3518">
        <description><![CDATA[GeOSPR (Consulta, Validación y estandarización)]]></description>
        <about><![CDATA[Conjunto de herramientas diseñadas para estandarizar información, consulta y validación sobre la Base de Datos geográfica FILI, control de Calidad de la información reportada para seguimiento a operaciones, todo lo anterior, en el marco de los procesos misionales de la Subdirección de Planeación Operativa.
1. El módulo de Validación consta de las herramientas para crear base de datos según estructura del Modelo de Captura de Campo ANT, importar XTF y la barra de consulta por QR Operación definitivo, Número Predial y FMI.
2. El módulo de Gestión de Base de Datos FILI, permite generar reportes sobre consistencia lógica de la Base de datos, Validar la BD respecto a la MTJ, eliminar información geográfica y alfanumérica asociada a un QR, importar masivamente XTF a la Base de datos, exportar GPKG de seguimiento y GPKG para RyC.
3. EL módulo documental está enfocado en importar masivamente 1 archivo a la carpeta de soportes documentales, esto aplica cuando 1 archivo debe estar en diferentes carpetas de QR.
4. Módulo de seguimiento: Inicialmente, permite verificar que los datos entregados por las territoriales cumplan con los parámetros establecidos para su diligenciamiento, posteriormente se valida la consistencia lógica del mismo.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jmariorod0/fili]]></homepage>
        <file_name>GEOSPR.1.2.1.zip</file_name>
        <icon>/media/packages/2025/icon_PWXv16O.png</icon>
        <author_name><![CDATA[Ing. Jhon Mario Rodriguez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GEOSPR/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[jmariorod]]></uploaded_by>
        <create_date>2024-10-16T12:50:00.022543+00:00</create_date>
        <update_date>2025-02-03T05:07:42.968731+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jmariorod0/fili/issues]]></tracker>
        <repository><![CDATA[https://github.com/jmariorod0/fili.git]]></repository>
        <tags><![CDATA[OSPR,FILI,RURAL,LADM V2,FORMULARIO DE CAPTURA,CAPTURA DE CAMPO ANT,ANT]]></tags>
        <downloads>2170</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Parameter History" version="1.1.1" plugin_id="3519">
        <description><![CDATA[a better processing history plugin]]></description>
        <about><![CDATA[shows processing history in a more human-readable format. Allows users to re-run algorithms with previous input parameters pre-filled.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/millsapjohn/qgis_paramhist]]></homepage>
        <file_name>ParamHist.1.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[John Millsap]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ParamHist/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[millsapjohn]]></uploaded_by>
        <create_date>2024-10-16T14:35:40.879056+00:00</create_date>
        <update_date>2026-03-11T19:54:55.442574+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/millsapjohn/qgis_paramhist/issues]]></tracker>
        <repository><![CDATA[https://github.com/millsapjohn/qgis_paramhist]]></repository>
        <tags><![CDATA[history,processing]]></tags>
        <downloads>2615</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Feature Transfer Tool" version="2.0.1" plugin_id="3520">
        <description><![CDATA[Feature Transfer Tool provides a seamless way to copy and paste features between layers.]]></description>
        <about><![CDATA[The Feature Transfer Tool is a powerful and user-friendly QGIS plugin that enables seamless copying and pasting of features between layers. Designed with efficiency and ease of use in mind, this tool ensures that feature data is accurately transferred, maintaining both geometry and attributes. Users have the flexibility to copy all fields in the target layers or select specific fields, tailoring the transfer process to their needs.

Notice of Plugin Transfer:
This plugin will be officially transferred from the account [hazzeeleen] to a new account [gisinnovationmy].
Please note that the version associated with the [hazzeeleen] account will be permanently deleted by 31st October 2024 after the transfer of account.
Moving forward, all updates, maintenance, and support for the plugin will be managed under the [gisinnovationmy] account.
The plugin will still be available for download in the repository. The updated name will be: &quot;Feature Transfer Tool&quot;.
We kindly request that users and administrators update their records to reflect this change. Thank you for your understanding and cooperation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gis.com.my/training/feature-transfer-tool/]]></homepage>
        <file_name>featuretransfer.2.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_OE4Icwo.png</icon>
        <author_name><![CDATA[GIS Innovation Sdn. Bhd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/featuretransfer/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[gisinnovationmy]]></uploaded_by>
        <create_date>2024-10-17T01:28:36.879106+00:00</create_date>
        <update_date>2026-02-25T01:48:58.021148+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gisinnovationmy/FeatureTransferTool/issues]]></tracker>
        <repository><![CDATA[https://github.com/gisinnovationmy/FeatureTransferTool]]></repository>
        <tags><![CDATA[vector,feature,project,search,attribute,select,openstreetmap,osm,field,layers]]></tags>
        <downloads>3875</downloads>
        <average_vote>4.615029613106684</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Curva de Nivel" version="1.1.1" plugin_id="3526">
        <description><![CDATA[Cria curvas de nivel no territorio brasileiro]]></description>
        <about><![CDATA[Este plugin cria curvas de nível a partir de dados de elevação do INPE (TOPODATA, Brasil) ou do Copernicus GLO-30 (global). Os dados são baixados automaticamente e armazenados em cache local para reutilização. Funcionalidades: seleção de área de interesse, escolha da fonte de DEM (INPE TOPODATA ou Copernicus GLO-30), intervalo configurável entre curvas (1–1000 m), quatro níveis de suavização de terreno (Nenhum / Baixo / Médio / Alto), opção de overlay de elevação com hillshade, simbologia com curvas mestras e normais, rótulos de elevação e máscara de texto, reprojeção automática para o SRC do projeto, suporte a proxy com autenticação. Note: INPE TOPODATA covers Brazilian territory only. Copernicus GLO-30 covers the entire world.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DanielHSMartin/CurvaDeNivel]]></homepage>
        <file_name>curva_de_nivel.1.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Daniel Hulshof Saint Martin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/curva_de_nivel/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[danielhsm]]></uploaded_by>
        <create_date>2024-10-19T18:14:32.657305+00:00</create_date>
        <update_date>2026-03-15T20:40:57.843536+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DanielHSMartin/CurvaDeNivel/issues]]></tracker>
        <repository><![CDATA[https://github.com/DanielHSMartin/CurvaDeNivel]]></repository>
        <tags><![CDATA[python,raster,gdal,curva,contorno,curva de nivel,altimetria,nivel,vetor]]></tags>
        <downloads>30973</downloads>
        <average_vote>4.759433424893356</average_vote>
        <rating_votes>79</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SkyDeck Plugin" version="1.4" plugin_id="3527">
        <description><![CDATA[Seamlessly Integrate and Manage SkyDeck Geospatial Data within QGIS]]></description>
        <about><![CDATA[The SkyDeck QGIS Plugin integrates your SkyDeck account into QGIS so you can easily manage and process your geospatial data. With this plugin, you can easily import raster and vector data from SkyDeck with a single click, as well as update vector data directly back to SkyDeck. Enhance your workflow by leveraging SkyDeck&#x27;s powerful cloud-based processing and storage, all within the familiar QGIS environment. SkyDeck is a unified cloud-based SaaS platform developed by Asteria Aerospace, designed for seamless drone data management, advanced data processing, data visualization and geospatial analysis. It provides secure, centralized management for scaling drone programs across multiple applications, including agriculture, infrastructure, surveying, oil and gas, and more. An active SkyDeck account is required to use this plugin. Discover SkyDeck or Start a Free Trial today.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/asteriaaerospace/SkyDeck-QGIS-Plugin]]></homepage>
        <file_name>SkyDeck-QGIS-Plugin-master.1.4.zip</file_name>
        <icon>/media/packages/2025/icon_Yvp5kuQ.png</icon>
        <author_name><![CDATA[Asteria Aerospace]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SkyDeck-QGIS-Plugin-master/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[neethu]]></uploaded_by>
        <create_date>2024-10-23T05:46:06.438808+00:00</create_date>
        <update_date>2025-04-23T07:18:40.433387+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/asteriaaerospace/SkyDeck-QGIS-Plugin]]></tracker>
        <repository><![CDATA[https://github.com/asteriaaerospace/SkyDeck-QGIS-Plugin]]></repository>
        <tags><![CDATA[python,cloud,photogrammetry,drone data,skydeck]]></tags>
        <downloads>2168</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EvapoGIS" version="0.2" plugin_id="3528">
        <description><![CDATA[Evapotranspiração]]></description>
        <about><![CDATA[O Evapogis é um plug-in desenvolvido com base no algoritmo Surface Energy Balance Algorithm for Land (SEBAL), destinado a obter dados de evapotranspiração e diferentes componentes do balanço de energia a partir de imagens de satélite Landsat, modelo de elevação digital (DEM) e alguns dados meteorológicos.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://evapogis-9174d.web.app/index.html]]></homepage>
        <file_name>EvapoGIS.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_i1k94S9.png</icon>
        <author_name><![CDATA[Lorena de Moura Melo, Nicolas Lucas Lima de Oliveira, Emanuel Araújo Silva, Rinaldo Luiz Caraciolo Ferreira, Elisiane Alba]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/EvapoGIS/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[23052001]]></uploaded_by>
        <create_date>2024-10-23T14:41:50.801502+00:00</create_date>
        <update_date>2025-02-19T03:28:40.354710+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nicolas0lucas]]></tracker>
        <repository><![CDATA[https://github.com/nicolaslucas]]></repository>
        <tags><![CDATA[calculator,remote sensing]]></tags>
        <downloads>1465</downloads>
        <average_vote>4.666277810182485</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="geonorge-tegneregelassistent" version="1.0.2" plugin_id="3529">
        <description><![CDATA[En plugin for å implementere stiler/tegneregler basert på norske standarder som finnes i Geonorge]]></description>
        <about><![CDATA[Denne pluginen kobler til Geonorge API for å hente og tildele stiler til lag i QGIS ved hjelp av tegneregler basert på norske standarder.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/arkitektum/geonorge-tegneregelassistent]]></homepage>
        <file_name>geonorge-tegneregelassistent.1.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Arkitektum AS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geonorge-tegneregelassistent/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[arkitektum]]></uploaded_by>
        <create_date>2024-10-24T08:55:39.201706+00:00</create_date>
        <update_date>2024-11-04T12:47:46.928312+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/arkitektum/geonorge-tegneregelassistent/issues]]></tracker>
        <repository><![CDATA[https://github.com/arkitektum/geonorge-tegneregelassistent]]></repository>
        <tags><![CDATA[gml,layers,styles,norway,tegneregler,arkitektum,geonorge,kartografi]]></tags>
        <downloads>1726</downloads>
        <average_vote>3.332222592469177</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BGT Loader" version="0.2" plugin_id="3531">
        <description><![CDATA[A processing tool to download Dutch BGT data for a specific polygon area.]]></description>
        <about><![CDATA[BgtLoader is a QGIS processing tool designed to help users download Dutch BGT (Basisregistratie Grootschalige Topografie) data for a specific polygon area selected by the user. This tool fetches and processes the data, making it available for further analysis and visualization in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Maxvdwaal/processing_bgt_loader]]></homepage>
        <file_name>bgt_loader_algorithm.0.2.zip</file_name>
        <icon>/media/packages/2024/Icon4x.png</icon>
        <author_name><![CDATA[Max van der Waal]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bgt_loader_algorithm/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[maxvdwaal]]></uploaded_by>
        <create_date>2024-10-24T14:15:56.018059+00:00</create_date>
        <update_date>2024-12-16T08:58:01.924103+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Maxvdwaal/processing_bgt_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/Maxvdwaal/processing_bgt_loader]]></repository>
        <tags><![CDATA[vector,python,import,download,bgt,kadaster,netherlands]]></tags>
        <downloads>2798</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Random Point on Lines..." version="2.5.0" plugin_id="3532">
        <description><![CDATA[Random Points on Lines... is to generate random points on line layers, enhancing spatial data analysis by quickly simulating random data points.]]></description>
        <about><![CDATA[The Random Points on Lines... plugin allows users to generate a specified number of random points along selected line layers. It utilizes a user-friendly dialog interface to select the line layer and specify the number of random points. The resulting random points are added as a new temporary layer with additional attributes, including coordinates in both the layer&#x27;s CRS (XCoord, YCoord) and the project&#x27;s CRS (CRSXCoord, CRSYCoord), as well as a distance field (Distance) indicating the distance from the start of the line to the point location.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gis.com.my/training/qgis-plugin/random-points-on-lines/]]></homepage>
        <file_name>random_points.2.5.0.zip</file_name>
        <icon>/media/packages/2026/icon_AmSWBSl.png</icon>
        <author_name><![CDATA[GIS Innovation Sdn. Bhd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/random_points/version/2.5.0/download/</download_url>
        <uploaded_by><![CDATA[gisinnovationmy]]></uploaded_by>
        <create_date>2024-10-25T08:34:22.033032+00:00</create_date>
        <update_date>2026-02-04T08:43:03.042728+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gisinnovationmy/RandomPointsonLines/issues]]></tracker>
        <repository><![CDATA[https://github.com/gisinnovationmy/RandomPointsonLines]]></repository>
        <tags><![CDATA[vector,feature,python,project,select,points,openstreetmap,osm,field,layers,lines,random]]></tags>
        <downloads>4619</downloads>
        <average_vote>4.683964001894637</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kue" version="1.14" plugin_id="3535">
        <description><![CDATA[Kue is an embedded AI assistant inside QGIS.]]></description>
        <about><![CDATA[Kue can edit symbology, run geoprocessing, share web maps, add basemaps, and help with tasks in QGIS. This plugin requires a $19/month subscription.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://buntinglabs.com/solutions/kue-ai]]></homepage>
        <file_name>kue-ai.1.14.zip</file_name>
        <icon>/media/packages/2025/icon_EsNt30U.png</icon>
        <author_name><![CDATA[Brendan Ashworth]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kue-ai/version/1.14/download/</download_url>
        <uploaded_by><![CDATA[brendanashworth]]></uploaded_by>
        <create_date>2024-10-29T06:19:58.919824+00:00</create_date>
        <update_date>2025-02-27T06:16:05.760416+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BuntingLabs/kue-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/BuntingLabs/kue-qgis-plugin]]></repository>
        <tags><![CDATA[vector,search,analysis,style,edit,processing,label,data,basemap,symbology,ai]]></tags>
        <downloads>13968</downloads>
        <average_vote>4.548930413129154</average_vote>
        <rating_votes>51</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AlgoMaps" version="0.1.4" plugin_id="3538">
        <description><![CDATA[PL: Plugin Algolytics do standaryzacji danych adresowych i geokodowania EN: Algolytics Plugin for Address Data Standardization and Geocoding]]></description>
        <about><![CDATA[Wtyczka pozwala na standaryzację i geokodowanie adresów w Polsce. Pozwala zarówno na standaryzację i geokodowanie pojedynczego adresu jak i przetwarzanie wsadowe większego zbioru danych. Dane adresowe mogą być zapisane w różny sposób i z błędami w pisowni.

Wynikiem pracy wtyczki jest warstwa punktowa ze zgeokodowanymi punktami adresowymi wraz z dołączonymi dodatkowymi polami, w zależności od wybranych w Ustawieniach zmiennych.


# Instalacja
1. Uruchom wtyczkę klikając jej ikonę na pasku narzedzi
2. Jeśli pojawi się okno instalacji dodatkowych bibliotek, naciśnij OK i poczekaj kilka chwil na instalację. Następnie uruchom QGIS ponownie.
3. Uruchom wtyczkę ponownie - powinien pojawić się dokowalny panel AlgoMaps.
4. Przejdź do zakładki &quot;Ustawienia&quot; i uzupełnij swoje dane przed rozpoczęciem korzystania z wtyczki:


Pojedynczy adres:

1. W swojej przeglądarce internetowej przejdź do https://developer.algolytics.pl/
2. Kliknij przycisk &quot;Sign up&quot;, żeby założyć darmowe konto uprawniające do standaryzacji i geokodowania 1000 rekordów za darmo.
3. Wypełnij swoje dane oraz wprowadź kod CAPTCHA. Naciśnij &quot;Sign up&quot; na dole formularza.
4. Kliknij &quot;Sign in&quot; w prawym górnym rogu i zaloguj się na założone konto.
5. Kliknij zakładkę &quot;Products&quot; w prawym górnym rogu.
6. Wybierz &quot;Trial Address Standarization API&quot;.
7. W sekcji &quot;Your subscriptions&quot; wpisz dowolną nazwę np.: &quot;qgis&quot; w pole tekstowe, zapoznaj się z zasadami &quot;Terms of use&quot; i naciśnij &quot;Subscribe&quot;.
8. Po przekierowaniu na stronę profilu użytkownika (https://developer.algolytics.pl/profile) odszukaj utworzoną właśnie subskrybcję w polu &quot;Subscriptions&quot;.
9. Wyświetl klucz API (primary lub secondary) naciskając &quot;Show&quot;.
10.	Skopiuj klucz (32-znakowy ciąg znaków i cyfr).
11.	Powróć do QGIS i wklej klucz w pole &quot;API key&quot; w Ustawieniach wtyczki AlgoMaps.

Przetwarzanie wsadowe (batch):

1. Przejdź na stronę https://algomaps.pl/
2. Kliknij przycisk &quot;Załóż darmowe konto&quot;.
3. Wypełnij swoje dane, zaakceptuj regulamin i potwierdź &quot;Nie jestem robotem&quot;. Kliknij &quot;Utwórz konto&quot;.
4. Kliknij w link aktywacyjny w twojej skrzynce pocztowej (jeśli nie widzisz wiadomości sprawdź folder Spam).
5. Zaloguj się na swoje konto.
6. Wybierz &quot;Moje konto&quot; z listy.
7. Pierwszy 1000 przetwarzanych rekordów jest darmowy. Aby zwiększyć limit należy uzupełnić dane kontaktowe i doładować konto.
8. Skopiuj &quot;Klucz dostępu do API&quot;.
9. Powróć do QGIS i wklej klucz do pola &quot;DQ token&quot; w Ustawieniach wtyczki AlgoMaps.
10. W polu &quot;DQ user&quot; wpisz adres email swojego konta.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.12.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://algomaps.pl/]]></homepage>
        <file_name>algomaps_qgis.0.1.4.zip</file_name>
        <icon>/media/packages/2024/icon_3KK1VSq.png</icon>
        <author_name><![CDATA[Algolytics Technologies]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/algomaps_qgis/version/0.1.4/download/</download_url>
        <uploaded_by><![CDATA[algolytics]]></uploaded_by>
        <create_date>2024-10-30T15:19:39.679831+00:00</create_date>
        <update_date>2024-10-30T15:19:42.846120+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Algolytics/algomaps_qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/Algolytics/algomaps_qgis]]></repository>
        <tags><![CDATA[python,geocoding,address,adres,geocode,poland,geocoder,addresses,polska,standaryzacja,geokodowanie,standarization]]></tags>
        <downloads>5384</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickRectangleCreator" version="0.5" plugin_id="3541">
        <description><![CDATA[QuickRectangleCreator allows you to create a rectangle quickly and easily, preset sizes, snap to grid and rotate on the fly.]]></description>
        <about><![CDATA[This is a rework of the QRectangleCreator plugin. It allows you to create a rectangle with the specified width, length and rotation. The plugin also allows you to snap the rectangle to the grid. The plugin is designed to be more user friendly and to have more features than the original plugin. It makes use of the mouse wheel to rotate the rectangles on the fly. Rectangle dimensions can be saved and recalled quickly through a drop down.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/Tirpitz93/QuickRectangleCreator]]></homepage>
        <file_name>QuickRectangleCreator-master.0.5.zip</file_name>
        <icon>/media/packages/2024/addRectangle_qU0D8uZ.png</icon>
        <author_name><![CDATA[Adrian Bocianowski &amp; L Selter]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickRectangleCreator-master/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[lselter]]></uploaded_by>
        <create_date>2024-10-31T06:52:48.236014+00:00</create_date>
        <update_date>2024-10-31T07:56:19.998383+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/Tirpitz93/QuickRectangleCreator/issues]]></tracker>
        <repository><![CDATA[http://github.com/Tirpitz93/QuickRectangleCreator]]></repository>
        <tags><![CDATA[python,angle,rectangle,snap,size,snapped,create rectangle with map units,create polygon]]></tags>
        <downloads>4989</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Snowflake Connector for QGIS" version="1.0.6" plugin_id="3544">
        <description><![CDATA[This package includes the Snowflake Connector for QGIS.]]></description>
        <about><![CDATA[The Snowflake Connector for QGIS provides an interface for open-source GIS application QGIS that can connect to Snowflake and perform all standard operations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.1</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.snowflake.com/en/sql-reference/functions-geospatial/]]></homepage>
        <file_name>qgis-snowflake-connector.1.0.6.zip</file_name>
        <icon>/media/packages/2026/icon_urZWOYj.png</icon>
        <author_name><![CDATA[Snowflake Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-snowflake-connector/version/1.0.6/download/</download_url>
        <uploaded_by><![CDATA[snow]]></uploaded_by>
        <create_date>2024-11-02T16:08:15.683295+00:00</create_date>
        <update_date>2026-03-10T13:23:20.689246+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/snowflakedb/qgis-snowflake-connector/issues/]]></tracker>
        <repository><![CDATA[https://github.com/snowflakedb/qgis-snowflake-connector/]]></repository>
        <tags><![CDATA[snowflake,data provider]]></tags>
        <downloads>4135</downloads>
        <average_vote>4.64678548320687</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS2Mapbender (deprecated)" version="0.9" plugin_id="3546">
        <description><![CDATA[(Deprecated, please update to the new QGIS2Mapbender plugin). QGIS plugin to populate Mapbender with WMS services from QGIS Server.]]></description>
        <about><![CDATA[(Deprecated, please update to the new QGIS2Mapbender plugin). This QGIS plugin exports your project as a QGIS Server WMS (Web Map Service) and publishes it in a Mapbender application (https://mapbender.org). System Requirements: Local requirements - (1) The QGIS project must be saved in the same folder as the data. (2) Install fabric2, e.g., using the QGIS console, if not already installed. Server requirements - (1) QGIS Server and Mapbender must be installed on your server. (2) Create at least one template application in Mapbender for cloning and publishing a new WMS or an application for publishing a new WMS. These applications should include a layer set named &quot;main&quot; (default layer set for new WMS) or a custom-named layer set (name must be specified in the plugin).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/WhereGroup/QGIS2Mapbender]]></homepage>
        <file_name>mapbender_plugin.0.9.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Carmen Viesca, Paolo Favero, Peter Gipper, Christoph Welker]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapbender_plugin/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[1712]]></uploaded_by>
        <create_date>2024-11-05T10:33:38.943939+00:00</create_date>
        <update_date>2024-11-06T13:13:18.786791+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/WhereGroup/QGIS2Mapbender/issues]]></tracker>
        <repository><![CDATA[https://github.com/WhereGroup/QGIS2Mapbender]]></repository>
        <tags><![CDATA[web,export,webmap,webmaps,webgis,publish,mapbender,qgis server]]></tags>
        <downloads>2698</downloads>
        <average_vote>4.9086446686664855</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Profile Manager" version="0.7.4" plugin_id="3547">
        <description><![CDATA[Makes handling profiles easy by giving you an UI to easily import settings from one profile to another]]></description>
        <about><![CDATA[A QGIS Plugin that provides an UI to easily manage your profiles and import various settings from one profile to another. Compatible with QGIS Deployment Toolbelt (QDT).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://WhereGroup.github.io/profile_manager/]]></homepage>
        <file_name>profile_manager.0.7.4.zip</file_name>
        <icon>/media/packages/2026/logo_profile_manager.svg</icon>
        <author_name><![CDATA[WhereGroup GmbH, Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/profile_manager/version/0.7.4/download/</download_url>
        <uploaded_by><![CDATA[jkroegerwg]]></uploaded_by>
        <create_date>2024-11-05T15:21:12.830241+00:00</create_date>
        <update_date>2026-02-09T09:30:06.347990+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WhereGroup/profile_manager/issues]]></tracker>
        <repository><![CDATA[https://github.com/WhereGroup/profile_manager/]]></repository>
        <tags><![CDATA[profiles,customization,manager,profilemanager,deployment,qdt]]></tags>
        <downloads>6270</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vgrid" version="26.1.22" plugin_id="3548">
        <description><![CDATA[Vgrid - A unified framework for working with DGGS. 

Vgrid supports H3, S2, A5, DGGAL, DGGRID, rHEALPix, OpenEAGGR ISEA4T/ ISEA3H, EASE-DGGS, QTM, OLC/ OpenLocationCode/ Google Plus Codes, Geohash, GEOREF, MGRS, Tilecode, Quadkey, Maidenhead, GARS, and DIGIPIN. 

- Vgridtools Installation instruction: https://vgridtools.gishub.vn/installation]]></description>
        <about><![CDATA[- DGGS Visualization 
- Zoom To Latlon 
- Expressions to convert (lat, long, resolution) to DGGS ID and calculate the compactness of polygon features 
- Convert Cell ID to DGGS 
- Convert Vector to DGGS 
- DGGS Compact - DGGS Expand 
- Convert Raster to DGGS 
- DGGS Resampling 
- DGGS Binning 
-  DGGS Generator 
- DGGS OGC API client - DGGS Utils]]></about>
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        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeoshub/vgridtools/]]></homepage>
        <file_name>vgridtools.26.1.22.zip</file_name>
        <icon>/media/packages/2026/vgrid_S4hzUC3.svg</icon>
        <author_name><![CDATA[Thang Quach]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vgridtools/version/26.1.22/download/</download_url>
        <uploaded_by><![CDATA[thangqd]]></uploaded_by>
        <create_date>2024-11-06T11:30:45.158094+00:00</create_date>
        <update_date>2026-01-22T10:18:14.295720+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeoshub/vgridtools/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeoshub/vgridtools/]]></repository>
        <tags><![CDATA[mgrs,geohash,s2,h3,discrete global grid system,olc,gars,dggs,georef,google plus codes,maidenhead,openlocationcode,tilecode,isea3h,ease-dggs,qtm,quadkey,isea4t,dggrid,rhealpix,a5,digipin,dggal,latlon to dggs]]></tags>
        <downloads>6161</downloads>
        <average_vote>4.95812674471897</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="InSAR Explorer" version="2.2.0" plugin_id="3551">
        <description><![CDATA[InSAR Explorer is a QGIS plugin that allows for dynamic visualization and analysis of InSAR time series data]]></description>
        <about><![CDATA[InSAR Explorer is a QGIS plugin designed for interactive visualization and analysis of InSAR time series results. With a user-friendly interface, it allows users to dynamically plot and explore ground displacement data over time. You can find the source code on GitHub (https://github.com/luhipi/insar-explorer). A sample shapefile containing time series data for testing the plugin is available on Zenodo (https://zenodo.org/records/14052813). Currently, vector data from SARvey, MintPy, MintPy, SARscape, and EGMS and raster data from GMTSAR and Mintpy are supported. Please refer to the documentation for more information about how to prepare the data (https://luhipi.github.io/insar-explorer/)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://luhipi.github.io/insar-explorer/]]></homepage>
        <file_name>insar_explorer-dev.2.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_s1yBNmD.png</icon>
        <author_name><![CDATA[Mahmud Haghighi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/insar_explorer-dev/version/2.2.0/download/</download_url>
        <uploaded_by><![CDATA[mahmud]]></uploaded_by>
        <create_date>2024-11-06T15:56:19.809487+00:00</create_date>
        <update_date>2026-03-16T13:13:06.186645+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/luhipi/insar-explorer/issues]]></tracker>
        <repository><![CDATA[https://github.com/luhipi/insar-explorer]]></repository>
        <tags><![CDATA[displacement,time series,sentinel,plot,sentinel-1,deformation,terrasar-x,insar,sarvey,persistent scatterer,sbas,small baseline,psi,miaplpy,mintpy,egms,gmtsar,sarscape]]></tags>
        <downloads>10208</downloads>
        <average_vote>4.666562965267438</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multi Raster Transparency Pixel Setter" version="1.1" plugin_id="3554">
        <description><![CDATA[Set transparency pixel for multiple raster layers]]></description>
        <about><![CDATA[EN: Plugin allow to set color of transparency pixel, this is similar to build-in properties option, but working with multiple layers at once.

PL: Plugin pozwala na ustawienie koloru pixela interpretowanego jako przezroczysty, jest to praktycznie to samo co można zrobić we właściwościach warstwy, ale na wiekszej ilości warstw niż jedna.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.38.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Rzezimioszek/MRTPS]]></homepage>
        <file_name>mrtps.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_a1Umwmo.png</icon>
        <author_name><![CDATA[Łukasz Świątek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mrtps/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[rzezimioszek]]></uploaded_by>
        <create_date>2024-11-07T12:20:07.401174+00:00</create_date>
        <update_date>2024-11-25T06:51:41.187460+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rzezimioszek/MRTPS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Rzezimioszek/MRTPS]]></repository>
        <tags><![CDATA[python,raster,transparency,multiple,png,jpg,pixel,tiff,tif,rgb,evr,transparent]]></tags>
        <downloads>1537</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geocoder CartoCiudad" version="2.0" plugin_id="3555">
        <description><![CDATA[CartoCiudad ofrece direcciones postales, topónimos, puntos de interés, poblaciones y límites administrativos de España]]></description>
        <about><![CDATA[A partir de la versión 2.0 el plugin solo estará disponible para versiones de QGIS 3.42.0 o superiores
Complemento de QGIS para la geolocalización y descarga de elementos de CartoCiudad basado en el servicio REST «Geocoder CartoCiudad»  (https://www.cartociudad.es/geocoder) que permite localizar objetos geográficos de España por identificadores geográficos y por coordenadas geográficas. Se pueden localizar los siguientes objetos geográficos:

  * Direcciones postales
  * Topónimos
  * Puntos de Interés
  * Unidades administrativas (Comunidades y ciudades autónomas, provincias y municipios)
  * Entidades de Población 
  * Códigos postales
  * Referencias catastrales (Servicios SOAP. Dirección General de Catastro)

La información que se devuelve puede ser puntual (portales, PK, códigos postales, puntos de interés, topónimos y referencias catastrales), lineal (viales) y superficial (unidades administrativas y entidades de población).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.42.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/PluginQGISCartociudad-main]]></homepage>
        <file_name>PluginQGISCartociudad-main.2.0.zip</file_name>
        <icon>/media/packages/2026/Logo_small_xbyWHTc.svg</icon>
        <author_name><![CDATA[Equipo CartoCiudad]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PluginQGISCartociudad-main/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[cartociudad]]></uploaded_by>
        <create_date>2024-11-07T12:55:15.510660+00:00</create_date>
        <update_date>2026-03-31T09:10:54.001624+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IDEESpain/PluginQGISCartociudad/issues]]></tracker>
        <repository><![CDATA[https://github.com/IDEESpain/PluginQGISCartociudad]]></repository>
        <tags><![CDATA[find,api,reverse,geocoder,españa,locator,rest,buscador,direcciones,cartociudad,candidates,municipios,localizacion,poblaciones,ccpp]]></tags>
        <downloads>4813</downloads>
        <average_vote>4.687207049559402</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="transform_coords" version="1.1.2" plugin_id="3558">
        <description><![CDATA[Transform decimal/grade-minute-second coordinates to UTM. Can also make points on the selected coordinates.]]></description>
        <about><![CDATA[Transform coordinates from one system (decimal/grade-minute-second) to another (UTM) and make points there.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/transform_coordinates/]]></homepage>
        <file_name>transform_coordinates.1.1.2.zip</file_name>
        <icon>/media/packages/2025/icono2_zVZu895.png</icon>
        <author_name><![CDATA[Joomkin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/transform_coordinates/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[joomkin]]></uploaded_by>
        <create_date>2024-11-09T06:23:26.341831+00:00</create_date>
        <update_date>2025-07-17T03:58:39.695558+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Joomkin/QGIS-Coords-Transform/issues]]></tracker>
        <repository><![CDATA[https://github.com/Joomkin/QGIS-Coords-Transform]]></repository>
        <tags><![CDATA[python,transformation,points,coordinates,utm]]></tags>
        <downloads>4413</downloads>
        <average_vote>4.545041359876375</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Esporta Tab su file CSV" version="0.4" plugin_id="3559">
        <description><![CDATA[Export the selected vector layer table to a CSV file
Esporta la tabella del layer vettoriale selezionato su un file CSV.]]></description>
        <about><![CDATA[English: Exports all attributes of a selected vector layer to a CSV file. Select the vector layer from the menu and specify the path to save the CSV file.
Esporta gli tutti gli attributi di un layer vettoriale selezionato in un file CSV. Si seleziona il layer vettoriale dal menu e si indica il percorso di salvataggio del file CSV.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.38.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/drFaustino/export_tab_to_csv]]></homepage>
        <file_name>export_tab_to_csv.0.4.zip</file_name>
        <icon>/media/packages/2025/icon_JskiHC3.png</icon>
        <author_name><![CDATA[dr. Geol. Faustino Cetraro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/export_tab_to_csv/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[drfaustino]]></uploaded_by>
        <create_date>2024-11-09T12:48:52.916359+00:00</create_date>
        <update_date>2025-01-03T11:13:10.121159+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/drFaustino/export_tab_to_csv]]></tracker>
        <repository><![CDATA[https://github.com/drFaustino/export_tab_to_csv]]></repository>
        <tags><![CDATA[layer,csv,vettore,esporta]]></tags>
        <downloads>2114</downloads>
        <average_vote>4.9997058996529615</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoPEC" version="1.0.1" plugin_id="3560">
        <description><![CDATA[GeoPEC é um software cientifico para avaliação da acurácia posicional de dados espaciais]]></description>
        <about><![CDATA[O software científico GeoPEC tem como objetivo fornecer ferramentas e uma metodologia robusta para avaliação da acurácia posicional de dados espaciais. Possui diversos padrões brasileiros de qualidade cartográfica: (i) Decreto nº. 89.817 de 1984, aliada às Especificações Técnicas de Controle de Qualidade em Dados Geoespaciais de 2016 (ET-CQDG) - da INDE, que proporciona a analise da qualidade dos produtos da cartografia nacional; (ii) Normatização do INCRA para avaliação de produtos aerofotogramétricos utilizados no Georreferenciamento de Imóveis Rurais, exposta no Manual Técnico - 2ª edição de 2022; (iii) Avaliação de produtos decorrentes de aerolevantamento utilizados no âmbito da Agência Nacional de Mineração (ANM), a partir da Resolução n.123 de 2022. Possui diversas metodologias para avaliação da qualidade, como detecção de outliers, teste de normalidade e testes de tendências. No processo de amostragem, o GeoPEC disponibiliza ferramentas para  definição do tamanho amostral, como ISO 2859 e NBR 13.133, e para determinação do padrão de distribuição espacial de conjuntos de pontos, pelo método do vizinho mais próximo.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.geopec.com.br]]></homepage>
        <file_name>plugin_GeoPEC-main.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_9rWt3A1.png</icon>
        <author_name><![CDATA[Afonso de Paula dos Santos, João Vitor Alves Gonçalves, Luis Philippe Ventura Rodrigues]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/plugin_GeoPEC-main/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[afonsoeam]]></uploaded_by>
        <create_date>2024-11-10T21:35:28.484440+00:00</create_date>
        <update_date>2025-09-08T21:46:06.773678+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/afonsopsantos/plugin_GeoPEC/issues]]></tracker>
        <repository><![CDATA[https://github.com/afonsopsantos/plugin_GeoPEC]]></repository>
        <tags><![CDATA[sample,drone,error,cartography,sampling design,spatial data quality,iso 2859,erro,controle de qualidade cartográfica,discrepância,discrepancie,assessment accuracy,positional accuracy,acurácia posicional,control,quality,incra,qualidade,decreto 89817,asprs,padrão de distribuição espacial,padrão de exatidão cartográfica,qualidade de dados espaciais,anm,tamanho amostral]]></tags>
        <downloads>2870</downloads>
        <average_vote>4.827419744146753</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GWAT - Watershed Analysis Toolbox by Geomeletitiki" version="3.0.0" plugin_id="3564">
        <description><![CDATA[Semi-automated Hydrological Basin Analysis toolbox.]]></description>
        <about><![CDATA[&lt;b&gt;Version 3:&lt;/b&gt; This is the new version of the &lt;a href=&quot;https://plugins.qgis.org/plugins/geomelwatershed-master/&quot;&gt;Geomeletitiki Watershed Analysis Toolbox&lt;/a&gt;, which uses the SAGA Next Gen provider. Please note the original plugin is now considered DEPRECATED.
In order to use this version, you must first setup the SAGA processing provider, using &lt;a href=&quot;https://plugins.qgis.org/plugins/processing_saga_nextgen/&quot;&gt;Processing Saga NextGen Provider &lt;/a&gt;. Instructions are readily available online.

&lt;br/&gt;A specialized &lt;b&gt;watershed basin analysis&lt;/b&gt; toolbox designed according to the methodology demanded by &lt;b&gt;Greek&lt;/b&gt; legislative standards for Hydrological engineering studies. The plugin is divided into 4 main modules, which should be executed in the respective order


&lt;h2&gt;Module1&lt;/h2&gt;
comes first, and is executed for the whole area/DEM. The user must provide a DEM and specify the Channel Initiation Threshold. The module produces the following outputs:
-&lt;b&gt;Flow Directions&lt;/b&gt; raster
-&lt;b&gt;Filled DEM&lt;/b&gt; raster (according to Wang&amp;Liu&#x27;s method)
-&lt;b&gt;Channel Network&lt;/b&gt; raster
-&lt;b&gt;Channel Network&lt;/b&gt; vector


&lt;h2&gt;Module2&lt;/h2&gt;
handles basin/sub-basin level analysis. It ingests the Filled DEM and a Control Point (Pour Point)
Outputs:
-The &lt;b&gt;watershed&lt;/b&gt; that drains through the Discharge Point (pour point) as a vector polygon (Watershed Basin)
-&lt;b&gt;Curve Numbers&lt;/b&gt; of the soil, as vector polygons --&gt;CN Labels
-&lt;b&gt;SCS Soil Class&lt;/b&gt; Cover of the basin --&gt;SCS Cover
-&lt;b&gt;Corine Class Cover&lt;/b&gt; of the basin --&gt;Corine Cover
-&lt;b&gt;Contour Lines&lt;/b&gt; (at a user-specified interval) --&gt;Clipped Contour Lines
-&lt;b&gt;Channel Network&lt;/b&gt;, cropped to the watershed of the basin --&gt; Clipped Channel Network


&lt;h2&gt;Module3&lt;/h2&gt;
calculates the Longest Flow Path (longest stream) in a basin.
Outputs:
-&lt;b&gt;Longest Flow Path&lt;/b&gt;as a Vector Polyline
-Its &lt;b&gt;Length&lt;/b&gt; (in meters) and the &lt;b&gt;Elongation Ratio&lt;/b&gt; of the basin, both as attributes of the above layer.


&lt;h2&gt;Module4&lt;/h2&gt;
calculates the parameters needed to produce ICN Curves. It utilizes a dataset of greek meteo stations with their respective parameters.
Outputs:
-&lt;b&gt;Nearest Stations&lt;/b&gt;as Vector Points. Each feature includes the station&#x27;s parameters (κ, λ, ψ, θ, η) as well as its calculated hydrological parameters used for ICN curves extraction.

The stations&#x27; distances from the watershed&#x27;s centroid are calculated and used to apply Inverse Distance Gage Weighting for the calculation of each station&#x27;s parameters contribution to the ICN cuves result.
Through the use of this plugin, most of the analysis process is automated, with user intervention practically needed only to initialize Modules 1, 2 and 3. Land use data are derived from Copernicus&#x27; CORINE2018 dataset, and soil properties are extracted from the Soil Map of Greece.

&lt;h3&gt;Credits&lt;/h3&gt;
Conception &amp; process design by &lt;a href=&quot;https://gr.linkedin.com/in/ioannis-georgakis-b730526a?trk=people-guest_people_search-card&quot;&gt;Ioannis Georgakis&lt;/a&gt;, Hydraulic Engineer MSc,
Testing, QA and debuging by &lt;a href=&quot;https://www.linkedin.com/in/eleftheria-koutsimari-4762b81b1/&quot;&gt; Eleftheria Koutsimari&lt;/a&gt;, MSc Water Resources
Implementation by &lt;a href=&quot;https://gr.linkedin.com/in/efstathios-lymperis-975702188&quot;&gt;Efstathios Lymperis&lt;/a&gt;, Geologist &amp; GIS Developer.

The plugin was originally developed at the Hydrology &amp; Hydraulics dept. of &lt;a href=&quot;https://www.geomeletitiki.gr/&quot;&gt;Geomeletitiki Consulting Engineers&lt;/a&gt;, and is currently independently maintained.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lymperis-e/Geomeletitiki-Watershed-Analysis-Toolbox---QGIS-Plugin-]]></homepage>
        <file_name>gwat.3.0.0.zip</file_name>
        <icon>/media/packages/2024/icon_sDGVrOT.png</icon>
        <author_name><![CDATA[Lymperis Efstathios for Geomeletitiki Consulting Engineers S.A.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gwat/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[elymperis]]></uploaded_by>
        <create_date>2024-11-11T02:24:55.170950+00:00</create_date>
        <update_date>2024-11-11T02:24:58.966078+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lymperis-e/Geomeletitiki-Watershed-Analysis-Toolbox---QGIS-Plugin-/issues]]></tracker>
        <repository><![CDATA[https://github.com/lymperis-e/Geomeletitiki-Watershed-Analysis-Toolbox---QGIS-Plugin-]]></repository>
        <tags><![CDATA[python,hydrology,greek,curve number,scs,watershed analysis,channel network,longest flow path,longest flow,cn number,gr]]></tags>
        <downloads>8330</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LockCanvasZoom" version="1.0" plugin_id="3565">
        <description><![CDATA[The Lock and Unlock Canvas Zoom Plugin for QGIS is designed to provide users with a simple way to lock and unlock the zoom position on the map canvas. This plugin offers a toggle button that allows users to easily switch between locked and unlocked states for the map canvas zoom.]]></description>
        <about><![CDATA[The plugin provides a straightforward way to fix the zoom level on the map canvas, so users can prevent unintended zoom adjustments.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rakeshkrgiri/Lock-Canvus-Zoom]]></homepage>
        <file_name>LockCanvasZoom.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_brYzHkM.png</icon>
        <author_name><![CDATA[Rakesh Kr Giri]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LockCanvasZoom/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[rakeshkrgiri]]></uploaded_by>
        <create_date>2024-11-11T10:23:46.767127+00:00</create_date>
        <update_date>2024-11-11T10:23:49.966353+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rakeshkrgiri/Lock-Canvus-Zoom/issues]]></tracker>
        <repository><![CDATA[https://github.com/rakeshkrgiri/Lock-Canvus-Zoom]]></repository>
        <tags><![CDATA[zoom,wmts,lock,zoom to scale,xyz tiles,canvaszoom]]></tags>
        <downloads>1416</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GenSimPlot" version="2.2" plugin_id="3569">
        <description><![CDATA[Generator of simulation plots]]></description>
        <about><![CDATA[GenSimPlot is a Python library and QGIS plugin that generates spatially optimized square, circular, rectangular, and elliptical plots for simulating and analyzing geographical processes. The plugin maximizes plot overlap with source polygons, supports regular grid point generation within plots, and enables extraction and assignment of environmental raster data to both simulation plots and points.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/milan-koren/GenSimPlot]]></homepage>
        <file_name>gensimplot.2.2.zip</file_name>
        <icon>/media/packages/2025/icon_ifw6E1g.png</icon>
        <author_name><![CDATA[Milan Koren]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gensimplot/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[mko357]]></uploaded_by>
        <create_date>2024-11-12T21:45:52.153493+00:00</create_date>
        <update_date>2025-05-11T05:38:06.642582+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/milan-koren/GenSimPlot]]></tracker>
        <repository><![CDATA[https://github.com/milan-koren/GenSimPlot]]></repository>
        <tags><![CDATA[vector,python,raster,generator,plot,simulation]]></tags>
        <downloads>1287</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Feature Selector" version="2.0.0" plugin_id="3570">
        <description><![CDATA[The Easy Feature Selector plugin helps you select and examine vector layer features by their attribute values. Works with any vector layer and shows feature details in an organized interface.]]></description>
        <about><![CDATA[It provides a straightforward interface for selecting fields from an attribute table, browsing and searching unique values, and zooming or panning to features directly on the map. The plugin also displays detailed attribute information, including a clear indication of whether a feature has geometry, and includes a convenient feature for copying all table data to the clipboard for easy export or analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gis.com.my/training/qgis-plugin/easy-feature-selector/]]></homepage>
        <file_name>easyfeatureselection.2.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_aFCzqnm.png</icon>
        <author_name><![CDATA[GIS Innovation Sdn. Bhd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easyfeatureselection/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[gisinnovationmy]]></uploaded_by>
        <create_date>2024-11-13T09:04:22.425840+00:00</create_date>
        <update_date>2026-02-06T02:43:50.263940+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gisinnovationmy/EasyFeatureSelector/issues]]></tracker>
        <repository><![CDATA[https://github.com/gisinnovationmy/EasyFeatureSelector]]></repository>
        <tags><![CDATA[vector,feature,python,project,search,attribute,unique values,select,openstreetmap,osm,fields,geometry,zoom,layers,tables]]></tags>
        <downloads>4766</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="申少军的工具箱" version="1.8" plugin_id="3574">
        <description><![CDATA[实现图形处理的功能集合]]></description>
        <about><![CDATA[This is a demand-driven tool that integrates the use of an SQLite database. It supports functions such as creating points, lines, and polygons from CSV/Excel files, network optimization, online map searching, coordinate picking, buffer calculations, exporting Mapinfo TAB and KML layers, neighborhood display, sector drawing, and the drawing of point, line, and polygon graphics. It also includes AOI extraction, thematic maps, heat maps, and more.--&gt;(这是一个基于需求而开发的使用工具，集合了Sqlite数据库使用，根据CSV/Excel文件创建点线面，以及网络优化,在线地图搜索,坐标拾取,缓冲区计算,导出Mapinfo TAB和KML图层,邻区显示,扇区绘制，点，线，面图形绘制，AOI提取，专题地图，热力图等功能)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cyanlo/cyanloveQGIS]]></homepage>
        <file_name>cyanlove.1.8.zip</file_name>
        <icon>/media/packages/2024/Snap4.bmp</icon>
        <author_name><![CDATA[cyan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cyanlove/version/1.8/download/</download_url>
        <uploaded_by><![CDATA[cyanlove]]></uploaded_by>
        <create_date>2024-11-15T03:29:03.559188+00:00</create_date>
        <update_date>2026-04-15T02:38:53.090456+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cyanlo/cyanloveQGIS]]></tracker>
        <repository><![CDATA[https://github.com/cyanlo/cyanloveQGIS]]></repository>
        <tags><![CDATA[网络优化,在线地图搜索,缓冲区计算,坐标拾取,邻区显示,导出mapinfo tab和kml图层,扇区绘制，点，线，面图形绘制，aoi提取，专题地图，热力图等]]></tags>
        <downloads>15168</downloads>
        <average_vote>4.779904401911962</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Split Lines By Points" version="1.1" plugin_id="3575">
        <description><![CDATA[Split Lines By Points]]></description>
        <about><![CDATA[Breaks a line on points lying on or off it, with optional buffer and distance filters. GUI version with toolbar button.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/Korto19/Split-Lines-By-Points]]></homepage>
        <file_name>SplitLinesByPoints.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_arCAhWA.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SplitLinesByPoints/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2024-11-15T08:15:22.507235+00:00</create_date>
        <update_date>2024-11-22T09:42:51.499718+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/Korto19/Split-Lines-By-Points/issues]]></tracker>
        <repository><![CDATA[http://github.com/Korto19/Split-Lines-By-Points]]></repository>
        <tags><![CDATA[vector,python,points,split,lines]]></tags>
        <downloads>9026</downloads>
        <average_vote>4.153686396677051</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="otsusmethod" version="1.0" plugin_id="3576">
        <description><![CDATA[This plugin applies Otsu&#x27;s method for automated thresholding and segmentation of raster data.]]></description>
        <about><![CDATA[This QGIS plugin provides a streamlined tool for performing automated thresholding on raster datasets using Otsu&#x27;s method. The plugin reads raster data, converts it to greyscale, and applies Otsu’s algorithm to compute an optimal threshold, creating binary output for clearer visual distinction of segmented areas. Additionally, it offers a visual report that includes the original RGB image, greyscale image, binary thresholded image, and a histogram with the calculated threshold marked.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FloEll/OtsusMethod]]></homepage>
        <file_name>otsusmethod.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_IS2e04q.png</icon>
        <author_name><![CDATA[Florian J. Ellsäßer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/otsusmethod/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[floell]]></uploaded_by>
        <create_date>2024-11-15T16:32:54.562547+00:00</create_date>
        <update_date>2025-03-10T07:47:23.269830+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FloEll/OtsusMethod/issues]]></tracker>
        <repository><![CDATA[https://github.com/FloEll/OtsusMethod]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1685</downloads>
        <average_vote>4.749406324209474</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Shred Layer Plugin" version="0.1" plugin_id="3577">
        <description><![CDATA[This plugin allows users to &quot;shred&quot; a layer. can be used to delete unnecessary layers or when you do not want to leave evidence. Cut layers can also be scattered on the map.]]></description>
        <about><![CDATA[This plugin shreds vector or raster layers into smaller grids based on user-defined settings, facilitating custom manipulation of layer segments. Features include flexible grid creation, shuffle options, and collage functionality for randomized visualization effects.The plugin author assumes no responsibility for any important data that may be erased by executing this plugin. Execution is at your own risk.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nbayashi/shredLayerPlugin]]></homepage>
        <file_name>shred-layer-plugin-master.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_0EZLoEy.png</icon>
        <author_name><![CDATA[nbayashi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shred-layer-plugin-master/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[nbayashi]]></uploaded_by>
        <create_date>2024-11-15T17:04:18.547574+00:00</create_date>
        <update_date>2024-11-15T17:04:21.205027+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nbayashi/shredLayerPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/nbayashi/shredLayerPlugin]]></repository>
        <tags><![CDATA[vector,python,raster]]></tags>
        <downloads>754</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Si Kataster" version="0.5" plugin_id="3578">
        <description><![CDATA[EN: SiKataster is a tool for accessing cadastral parcel data from the Real Estate Cadastre of the Surveying and Mapping Authority of the Republic of Slovenia (GURS).
The plugin is designed to record information about the source and the date of data acquisition into the metadata of the layers it creates.
The data and web service are provided by GURS.

SI: SiKataster je orodje za dostop do podatkov o parcelah v Katastru nepremičnin Geodetske uprave Republike Slovenije (GURS).
Vtičnik je zasnovan na način, da v metapodatke slojev, ki jih ustvari, zapiše informacije o viru in datumu prevzema podatkov.
Podatke in spletni servis zagotavlja GURS.]]></description>
        <about><![CDATA[Provide a brief description of the plugin and its purpose.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/matjash/SiKataster]]></homepage>
        <file_name>si_kataster.0.5.zip</file_name>
        <icon>/media/packages/2024/icon_nRZRcMc.png</icon>
        <author_name><![CDATA[Matjaž Mori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/si_kataster/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[matjash]]></uploaded_by>
        <create_date>2024-11-15T20:24:31.931293+00:00</create_date>
        <update_date>2024-11-26T21:37:45.049714+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/matjash/SiKataster/issues]]></tracker>
        <repository><![CDATA[https://github.com/matjash/SiKataster]]></repository>
        <tags><![CDATA[python parcele kataster slovenija]]></tags>
        <downloads>1241</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EasyDEM" version="3.1" plugin_id="3579">
        <description><![CDATA[Get Digital Elevation Model (DEM) datasets from multiple sources with Google Earth Engine API and load it as raster layer.]]></description>
        <about><![CDATA[Digital Elevation Model (DEM) datasets from multiple sources with Google Earth Engine API and load it as raster layer, compare different datasets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://caioarantes.github.io/EasyDEM]]></homepage>
        <file_name>qgis-EasyDEM-plugin.3.1.zip</file_name>
        <icon>/media/packages/2025/icon_5RNDANY.png</icon>
        <author_name><![CDATA[Caio Arantes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-EasyDEM-plugin/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[caioarantes]]></uploaded_by>
        <create_date>2024-11-15T23:13:56.135490+00:00</create_date>
        <update_date>2025-10-27T19:22:25.455912+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caioarantes/EasyDEM/issues]]></tracker>
        <repository><![CDATA[https://github.com/caioarantes/EasyDEM]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>23973</downloads>
        <average_vote>4.199720018665422</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FitLoader" version="1.0.1" plugin_id="3580">
        <description><![CDATA[A simple plugin to import FIT files]]></description>
        <about><![CDATA[This plugin imports FIT files into a point vector layer, utilizing the python-fitparse module. Only records with geographic coordinates are included, so activities recorded indoors, for instance, will be excluded. All data from the imported records are stored as attributes in the point vector layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/glucawork/fitloader]]></homepage>
        <file_name>fitloader.1.0.1.zip</file_name>
        <icon>/media/packages/2024/fit_loader_zx3ASAI.png</icon>
        <author_name><![CDATA[Gianluca Rossi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fitloader/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[gluca]]></uploaded_by>
        <create_date>2024-11-16T15:57:55.524562+00:00</create_date>
        <update_date>2024-11-23T11:16:28.056057+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/glucawork/fitloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/glucawork/fitloader]]></repository>
        <tags><![CDATA[vector,python,garmin,importer,fit,fitparse]]></tags>
        <downloads>2419</downloads>
        <average_vote>2.117522498676548</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Water Network Tools for Resilience (WNTR) Integration" version="1.0.0" plugin_id="3581">
        <description><![CDATA[A QGIS Plugin for the WNTR (EPANET) piped water network modelling package. For creating water network models and visualisation of simulation results within QGIS.]]></description>
        <about><![CDATA[&lt;p&gt;A plugin for doing all aspects of piped water networks analysis directly within QGIS. This includes the creation of the model, the simulation and the visualisation of results.&lt;/p&gt;&lt;p&gt;It is compatible with and import/exports to, EPANET. It uses the EPANET solver by default.&lt;/p&gt;&lt;p&gt;Compared to other QGIS water network modelling plugins, this plugin aims to be:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Easy to use. Accessible for those who know how to use QGIS. Well documented, good defaults, clear functionality.&lt;/li&gt;&lt;li&gt;Integrate the power of QGIS and WNTR. It aims to completement rather than replace features already within QGIS. Data can be manipulated with the standard QGIS tools, processing algorithms, and plugins.&lt;/li&gt;&lt;li&gt;Robust. Limited, well tested features.&lt;/li&gt;&lt;li&gt;lexible. Not choosy about how you do things.&lt;/li&gt;&lt;li&gt;Automatable / programmable. Tools can be used in the QGIS &#x27;model builder&#x27; or from  PyQGIS&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;If not already installed, the plugin will automatically downloand WNTR from PyPi and unpack it into the plugin&#x27;s install directory. For a complete install and usage guide see the homepage link.&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://angusmcb.com/wntr-qgis/]]></homepage>
        <file_name>wntrqgis.1.0.0.zip</file_name>
        <icon>/media/packages/2025/logo_4vt7rDv.svg</icon>
        <author_name><![CDATA[Angus McBride]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wntrqgis/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[angusmcb]]></uploaded_by>
        <create_date>2024-11-17T18:16:40.691744+00:00</create_date>
        <update_date>2025-05-12T14:34:03.116469+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/angusmcb/wntr-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/angusmcb/wntr-qgis]]></repository>
        <tags><![CDATA[water,epanet,hydraulics,water network analysis]]></tags>
        <downloads>4000</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qCEPHEE" version="0.3.1" plugin_id="3582">
        <description><![CDATA[Plugin QGIS for CEPHEE]]></description>
        <about><![CDATA[qCEPHEE (QGIS for CEPHEE). For dependencies installation, look at the documentation (install.rst)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://cephee.readthedocs.io/en/latest/]]></homepage>
        <file_name>CEPHEE.0.3.1.zip</file_name>
        <icon>/media/packages/2025/logo_dh16LWL.png</icon>
        <author_name><![CDATA[Pierre Horgue, Ludovic Cassan (Toulouse INP, IMFT and CERFACS)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CEPHEE/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[phorgue]]></uploaded_by>
        <create_date>2024-11-19T08:23:35.252464+00:00</create_date>
        <update_date>2025-11-17T08:44:51.702025+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/ludoviccassanCerfacs/cephee/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/ludoviccassanCerfacs/cephee]]></repository>
        <tags><![CDATA[flood,hydraulic modelling,river,telemac,telemac-mascaret,opentelemac]]></tags>
        <downloads>1446</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Field annotations" version="0.1.0" plugin_id="3583">
        <description><![CDATA[Make annotations and photos in the field.]]></description>
        <about><![CDATA[A QGIS plugin to make annotations and photos in the field.

- Map annotations

Map annotations can be made in three ways: with a point, line or polygon.
Each annotation can have a text, and can optionally be linked to a map layer.

Annotations are stored in separate layers in a Geopackage database in the same
directory as the QGIS project.

- Photo annotations

A special type of annotation is the photo annotation, where you can add an annotation
with text and photo(s). Either take some new photos or import existing ones.

Photos are stored inside a new directory in the same directory as the QGIS project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DOV-Vlaanderen/qgis-field-annotations]]></homepage>
        <file_name>field_annotations.0.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_rgjx7A6.png</icon>
        <author_name><![CDATA[Roel Huybrechts]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/field_annotations/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[rulus]]></uploaded_by>
        <create_date>2024-11-19T10:04:07.943045+00:00</create_date>
        <update_date>2024-11-19T10:04:10.785560+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DOV-Vlaanderen/qgis-field-annotations/issues]]></tracker>
        <repository><![CDATA[https://github.com/DOV-Vlaanderen/qgis-field-annotations]]></repository>
        <tags><![CDATA[python,photo,field,annotation]]></tags>
        <downloads>1789</downloads>
        <average_vote>2.997002997002997</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Arches Project" version="1.0.0" plugin_id="3584">
        <description><![CDATA[A plugin that links QGIS to an Arches project.]]></description>
        <about><![CDATA[A QGIS plugin for integration and data management with an Arches project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/archesproject/arches-qgis]]></homepage>
        <file_name>arches_project.1.0.0.zip</file_name>
        <icon>/media/packages/2026/arches.png</icon>
        <author_name><![CDATA[Knowledge Integration]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arches_project/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[archesproject]]></uploaded_by>
        <create_date>2024-11-19T21:57:20.241668+00:00</create_date>
        <update_date>2026-01-12T17:42:37.620203+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/archesproject/arches-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/archesproject/arches-qgis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1240</downloads>
        <average_vote>4.832527912014664</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BROnodig" version="0.5.0" plugin_id="3585">
        <description><![CDATA[Plugin om BRO data te downloaden en plotten]]></description>
        <about><![CDATA[Deze plugin maakt het eenvoudig om geotechnische sonderingen en boringen via QGIS in te zien of downloaden. Locaties zijn beschikbaar via https://service.pdok.nl/bzk/bro-geotechnischbooronderzoek/wms/v1_0 en https://service.pdok.nl/bzk/brocptkenset/wms/v1_0]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ic144/bronodig]]></homepage>
        <file_name>bronodig.0.5.0.zip</file_name>
        <icon>/media/packages/2025/icon_QmswWdP.png</icon>
        <author_name><![CDATA[Thomas van der Linden]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bronodig/version/0.5.0/download/</download_url>
        <uploaded_by><![CDATA[thomasvdl]]></uploaded_by>
        <create_date>2024-11-20T16:20:55.667658+00:00</create_date>
        <update_date>2025-11-28T13:26:51.537101+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ic144/bronodig/issues]]></tracker>
        <repository><![CDATA[https://github.com/ic144/bronodig]]></repository>
        <tags><![CDATA[python,ondergrond,basisregistratie,geotechniek,cpt,boring,sondering,lengteprofiel]]></tags>
        <downloads>2420</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Este complemento genera transectas arqueológicas (líneas horizontales o verticales) dentro de un área definida.
Puede ser útil para estudios de campo y proyectos arqueológicos.]]></description>
        <about><![CDATA[El complemento ArqueoTransectas permite crear líneas de transecta dentro de áreas delimitadas, con opciones de dirección
(horizontal o vertical) y separación configurable. Compatible con el marco de herramientas de procesamiento de QGIS.]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/arqueomendez/arqueotransectas]]></homepage>
        <file_name>arqueotransectas.2.0.4.zip</file_name>
        <icon>/media/packages/2026/icon_KquzjO4.png</icon>
        <author_name><![CDATA[Victor Méndez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arqueotransectas/version/2.0.4/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2024-11-20T21:15:22.414208+00:00</create_date>
        <update_date>2026-04-15T22:38:13.619061+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/arqueomendez/arqueotransectas/issues]]></tracker>
        <repository><![CDATA[https://github.com/arqueomendez/arqueotransectas]]></repository>
        <tags><![CDATA[vector,arqueología,líneas,estudio de campo,transectas]]></tags>
        <downloads>2031</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NGP Connect" version="1.4.0" plugin_id="3590">
        <description><![CDATA[Plugin to store files in Lantmäteriet National Geodata Platform with external storage for the attachment widget in features attribute form. Includes processing tools to update, download and delete data as well.]]></description>
        <about><![CDATA[Plugin to store files in Lantmäteriet National Geodata Platform]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/ngp-connect]]></homepage>
        <file_name>ngpconnect.1.4.0.zip</file_name>
        <icon>/media/packages/2025/NGPconnect_trans.png</icon>
        <author_name><![CDATA[Jacky Volpes - Oslandia - funded by Kristianstad]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ngpconnect/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2024-11-22T16:00:22.745385+00:00</create_date>
        <update_date>2025-04-03T12:07:25.337385+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/ngp-connect/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/ngp-connect]]></repository>
        <tags><![CDATA[api,lantmäteriet,geodata,ngp,geocatalog]]></tags>
        <downloads>1346</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FieldColorCoder" version="0.1" plugin_id="3591">
        <description><![CDATA[Easily apply color codes to layers based on selected field values]]></description>
        <about><![CDATA[This plugin is designed for fiber optic network planners, providing a fast and efficient way to assign color codes to address points based on the colors of ducts within conduit bundles. With this tool, users can easily apply standardized color schemes, ensuring that address points are visually aligned with the internal color-coding of network conduits. Ideal for planning and organizing fiber optic infrastructures, this plugin helps streamline the process of applying accurate, field-specific color mappings to address points on the map.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/unuvarmehmet/FieldColorCoder]]></homepage>
        <file_name>color_tool.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_7LTd5Es.png</icon>
        <author_name><![CDATA[Mehmet Ünüvar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/color_tool/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mehmet4286]]></uploaded_by>
        <create_date>2024-11-24T16:40:57.383045+00:00</create_date>
        <update_date>2024-11-24T16:40:59.967660+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/unuvarmehmet/FieldColorCoder]]></tracker>
        <repository><![CDATA[https://github.com/unuvarmehmet/FieldColorCoder]]></repository>
        <tags><![CDATA[vector,python,point]]></tags>
        <downloads>1105</downloads>
        <average_vote>4.582951420714941</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SGTool" version="0.3.4" plugin_id="3595">
        <description><![CDATA[Simple Potential Field Processing]]></description>
        <about><![CDATA[Simple Potential Field Processing using FFT grid filters, e.g. RTP, 1VD, Band Pass, Analytic Signal, Upward Continuation, worms etc.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.24.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
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        <file_name>sgtool.0.3.4.zip</file_name>
        <icon>/media/packages/2026/icon_hQRgEY1.png</icon>
        <author_name><![CDATA[Mark Jessell]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sgtool/version/0.3.4/download/</download_url>
        <uploaded_by><![CDATA[markjessell]]></uploaded_by>
        <create_date>2024-11-25T04:33:55.144976+00:00</create_date>
        <update_date>2026-04-13T09:48:25.164372+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/swaxi/SGTool/issues]]></tracker>
        <repository><![CDATA[https://github.com/swaxi/SGTool]]></repository>
        <tags><![CDATA[python,geophysics,filters,magnetics,gravity]]></tags>
        <downloads>8765</downloads>
        <average_vote>4.922698253980463</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Graphab3" version="0.9.5" plugin_id="3596">
        <description><![CDATA[Graphab3 for QGIS]]></description>
        <about><![CDATA[This plugin allows you to model easily ecological networks with landscape graphs in QGIS without opening the Graphab software. Java must be installed on your computer before using this plugin. You may found open source Java installer on https://adoptopenjdk.net. This version is dedicated to version 3 of the Graphab software.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://thema.univ-fcomte.fr/productions/software/graphab/qgis/index.html]]></homepage>
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        <icon>/media/packages/2025/icon_UkkTL59.png</icon>
        <author_name><![CDATA[Gaspard Quentin, Robin Marlin-Lefebvre, Gilles Vuidel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/graphab34qgis/version/0.9.5/download/</download_url>
        <uploaded_by><![CDATA[gvuidel]]></uploaded_by>
        <create_date>2024-11-25T11:07:07.270395+00:00</create_date>
        <update_date>2025-11-18T08:35:03.042759+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab-mshe.univ-fcomte.fr/thema/graphab34qgis/issues]]></tracker>
        <repository><![CDATA[https://gitlab-mshe.univ-fcomte.fr/thema/graphab34qgis]]></repository>
        <tags><![CDATA[graphab,landscape graph,ecological network]]></tags>
        <downloads>3391</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Feature Navigator" version="1.3" plugin_id="3599">
        <description><![CDATA[This plugin allows navigation between features in an active QGIS layer using previous and next buttons.]]></description>
        <about><![CDATA[The Feature Navigator is a plugin for QGIS that facilitates navigation between features within an active layer. It allows moving between features using the &quot;Previous&quot; and &quot;Next&quot; buttons. Additionally, when a feature is selected, the plugin adjusts the map to center and zoom in on the feature, improving efficiency when working with large volumes of geospatial data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://axel-agusti.github.io/Feature_navigator/]]></homepage>
        <file_name>my_feature_navigator.1.3.zip</file_name>
        <icon>/media/packages/2025/navigator_icon.png</icon>
        <author_name><![CDATA[Axel Agustí]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/my_feature_navigator/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[axelagusti]]></uploaded_by>
        <create_date>2024-11-25T18:03:10.299407+00:00</create_date>
        <update_date>2025-01-08T11:12:27.715492+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/axel-agusti/Feature_navigator/issues]]></tracker>
        <repository><![CDATA[https://github.com/axel-agusti/Feature_navigator]]></repository>
        <tags><![CDATA[features,qgis,navigation,layer management,geospatial data]]></tags>
        <downloads>2024</downloads>
        <average_vote>4.8822093467839185</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeocodeCN" version="0.3.2" plugin_id="3601">
        <description><![CDATA[将地址转为经纬度坐标 | Convert address into  coordinates]]></description>
        <about><![CDATA[基于互联网地图开放平台，将地址转为经纬度坐标 | Based on open internet mapping platform, convert addresses into coordinates.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://giserlab.cn/page/geocodecn]]></homepage>
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        <icon>/media/packages/2025/icon_vjj80RA.png</icon>
        <author_name><![CDATA[WangShihan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocode_cn/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[wsh233]]></uploaded_by>
        <create_date>2024-11-26T05:48:46.664115+00:00</create_date>
        <update_date>2025-03-11T00:48:33.016720+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WShihan/GeocodeCN]]></tracker>
        <repository><![CDATA[https://github.com/WShihan/GeocodeCN]]></repository>
        <tags><![CDATA[map,coordinate,geocode,baidu,mapiing]]></tags>
        <downloads>2960</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Not-So-QT-DEM" version="0.1.3" plugin_id="3604">
        <description><![CDATA[TauDEM 5.3 processing provider]]></description>
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        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://codeberg.org/Shihab-E/Not-So-QT-DEM]]></homepage>
        <file_name>nsq_taudem.0.1.3.zip</file_name>
        <icon>/media/packages/2025/logo_dXVtien.png</icon>
        <author_name><![CDATA[Shihab E.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nsq_taudem/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[shihab]]></uploaded_by>
        <create_date>2024-11-26T18:35:50.219836+00:00</create_date>
        <update_date>2025-11-30T15:31:15.150136+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://codeberg.org/Shihab-E/Not-So-QT-DEM/issues]]></tracker>
        <repository><![CDATA[https://codeberg.org/Shihab-E/Not-So-QT-DEM]]></repository>
        <tags><![CDATA[python,hydrology,processing,watershed analysis,terrain analysis,taudem]]></tags>
        <downloads>2310</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoCAR" version="1.2.2" plugin_id="3609">
        <description><![CDATA[Ferramentas para preparação, análise e exportação de dados do Cadastro Ambiental Rural (CAR) no QGIS | Tools for preparing, analyzing and exporting Brazilian Rural Environmental Registry (CAR) data in QGIS]]></description>
        <about><![CDATA[[PT-BR] O GeoCAR é um plugin para QGIS que auxilia na preparação e organização de dados para o Cadastro Ambiental Rural (CAR) no Brasil. O plugin inclui ferramentas para consulta de imóveis do SICAR, identificação de áreas de preservação permanente (APP) por altitude e declividade, conversão de linhas auxiliares em polígonos, e exportação automática de camadas nos formatos exigidos pelo sistema do CAR (SHP, ZIP e KML). Também inclui rotinas específicas para fluxos estaduais, como o envio em ZIP único utilizado no estado de Goiás. O objetivo é automatizar tarefas repetitivas e facilitar o fluxo de trabalho de profissionais que atuam com regularização ambiental e cadastro de imóveis rurais. [EN] GeoCAR is a QGIS plugin designed to assist in preparing and organizing spatial data for the Brazilian Rural Environmental Registry (CAR). The plugin provides tools to query SICAR property data, identify protected areas based on elevation and slope thresholds, convert auxiliary lines into polygons, and export layers in formats required by the CAR system (SHP, ZIP, and KML). It also includes specific workflows for certain states, such as the single ZIP submission required in Goiás. GeoCAR aims to automate repetitive tasks and streamline workflows for professionals working with environmental land registration and rural property mapping.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OpenGeoOne/GeoCAR/wiki]]></homepage>
        <file_name>geocar.1.2.2.zip</file_name>
        <icon>/media/packages/2026/car_W03lLks.png</icon>
        <author_name><![CDATA[Prof Cazaroli, Leandro França]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocar/version/1.2.2/download/</download_url>
        <uploaded_by><![CDATA[leandrofranca]]></uploaded_by>
        <create_date>2024-11-27T16:02:41.368174+00:00</create_date>
        <update_date>2026-03-24T00:14:40.522092+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenGeoOne/GeoCAR/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenGeoOne/GeoCAR]]></repository>
        <tags><![CDATA[car,brazil,georural,cadastro,geoone,geocar,imovel,sicar,rural]]></tags>
        <downloads>21102</downloads>
        <average_vote>4.804760859491232</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="All Geocoders At Once" version="1.1.1" plugin_id="3616">
        <description><![CDATA[Plugin accumulating most popular geocoders]]></description>
        <about><![CDATA[This plugin contains 20 of the most popular geocoding services and is designed to help you choose the best one by comparing temporary results.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TrueSpearmint/all_geocoders_at_once]]></homepage>
        <file_name>all_geocoders_at_once.1.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_WyW556q.png</icon>
        <author_name><![CDATA[TrueSpearmint]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/all_geocoders_at_once/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[truespearmint]]></uploaded_by>
        <create_date>2024-11-30T13:19:22.949525+00:00</create_date>
        <update_date>2025-05-14T15:32:11.022765+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TrueSpearmint/all_geocoders_at_once/issues]]></tracker>
        <repository><![CDATA[https://github.com/TrueSpearmint/all_geocoders_at_once]]></repository>
        <tags><![CDATA[geocoding,address search]]></tags>
        <downloads>9978</downloads>
        <average_vote>4.681605381573565</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Surface Water Storage" version="0.6" plugin_id="3620">
        <description><![CDATA[This plugin generates the inundation area and elevation-area-volume graph for an area.]]></description>
        <about><![CDATA[This plugin aims to study surface water storage, for large lakes and reservoirs, among others. It does this through two tools: calculating how the stored water occupies the area (by generating the inundation area polygon), and calculating the area-volume-elevation relationship for the area.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-surface-water-storage]]></homepage>
        <file_name>surface_water_storage.0.6.zip</file_name>
        <icon>/media/packages/2025/icon_Ny8aU9K.png</icon>
        <author_name><![CDATA[João Vitor Pimenta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/surface_water_storage/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[pimenta]]></uploaded_by>
        <create_date>2024-12-01T04:30:07.403837+00:00</create_date>
        <update_date>2025-02-15T00:50:47.626317+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-surface-water-storage/issues]]></tracker>
        <repository><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-surface-water-storage]]></repository>
        <tags><![CDATA[python,water,flood,elevation,area,graph,storage,volume,reservoir,lake,inundation,flooded,capacity]]></tags>
        <downloads>6474</downloads>
        <average_vote>4.9998214349487515</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Prettier Maps" version="1.4.4" plugin_id="3624">
        <description><![CDATA[Split a MapTiler layer.]]></description>
        <about><![CDATA[Prettier Maps is a plugin that allows you to style your QGIS maps with ease.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://prettiermaps.github.io/PrettierMaps/]]></homepage>
        <file_name>prettier_maps.1.4.4.zip</file_name>
        <icon>/media/packages/2025/logo_xjrPdha.png</icon>
        <author_name><![CDATA[Matthew Mckee, Fraser Spalding, Nicole Sung, Irene Hanna Anu, Ben Whitehead, Daniel Deneb Mecha Martín]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/prettier_maps/version/1.4.4/download/</download_url>
        <uploaded_by><![CDATA[prettiermaps]]></uploaded_by>
        <create_date>2024-12-02T15:07:53.315262+00:00</create_date>
        <update_date>2025-03-24T14:48:03.665118+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PrettierMaps/PrettierMaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/PrettierMaps/PrettierMaps]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>6214</downloads>
        <average_vote>4.642691332452412</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoParquet Downloader (Overture, Source &amp; Custom Cloud)" version="0.8.6" plugin_id="3625">
        <description><![CDATA[Plugin for downloading GeoParquet data from cloud sources.]]></description>
        <about><![CDATA[This plugin connects to cloud-based GeoParquet data and downloads the portion in the current viewport.

The plugin comes with pre-configured sources for &lt;a href=&quot;https://overturemaps.org/&quot;&gt;Overture
Maps&lt;/a&gt;, &lt;a href=&quot;https://source.coop/&quot;&gt;Source Cooperative&lt;/a&gt;, and you can enter the location
of any online GeoParquet file or partition. It works best with
the bbox struct from GeoParquet 1.1, but any GeoParquet file
will work. You can save the output data as GeoParquet,
GeoPackage, DuckDB, FlatGeobuf, or GeoJSON.

The plugin does not require that your QGIS supports
GeoParquet, as you can download data as GeoPackage, but
GeoParquet generally works better (faster and better nested
data). Most Windows installations come with it, and for Mac
and Linux you can install via conda. For information on
installing Geoparquet support see &lt;a href=&quot;https://github.com/cholmes/qgis_plugin_gpq_downloader/wiki/Installing-GeoParquet-Support-in-QGIS&quot;&gt;this wiki page&lt;/a&gt;.

The plugin depends on DuckDB, which should be installed
automatically when you install the plugin. If you have issues
with DuckDB installing please file an issue on the &lt;a href=&quot;https://github.com/cholmes/qgis_plugin_gpq_downloader/issues&quot;&gt;GitHub issue tracker&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cholmes/qgis_plugin_gpq_downloader/]]></homepage>
        <file_name>qgis_plugin_gpq_downloader.0.8.6.zip</file_name>
        <icon>/media/packages/2025/parquet-download_QibrKsJ.png</icon>
        <author_name><![CDATA[Chris Holmes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_plugin_gpq_downloader/version/0.8.6/download/</download_url>
        <uploaded_by><![CDATA[cholmes]]></uploaded_by>
        <create_date>2024-12-02T19:31:27.627901+00:00</create_date>
        <update_date>2025-11-19T10:11:59.501794+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cholmes/qgis_plugin_gpq_downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/cholmes/qgis_plugin_gpq_downloader/]]></repository>
        <tags><![CDATA[cloud,geopackage,duckdb,parquet,overture,source cooperative,geoparquet]]></tags>
        <downloads>18319</downloads>
        <average_vote>4.899755012249387</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RoutesComposer" version="1.3" plugin_id="3627">
        <description><![CDATA[Composer of roads from network of segments.
This plugin assists you in creating routes from a network of segments, automatically updating the compositions of split or merged segments and providing a tool to select segments ids directly on the map.]]></description>
        <about><![CDATA[This Qgis plugin allows you to create routes between two points from a vector
network. The most obvious example of a network is that of roads: national road 42 is both a single road and consists of dozens of different sections.

The sections are segments in the plugin, while the national road corresponds to a composition.

All geographical work is done on the segments. Compositions only have attributes and a list containing the identifiers of the segments.

The first function of this plugin is to assist when dividing a segment. If the segment is part of one or more compositions, it can be cumbersome to find in which ones and at what location. The plugin takes care of this for you.

This plugin can also help you keep your compositions correct by searching for potential errors.
It can furthermore create the geometries of each from your compositions.

Another tool, called the segment basket, allows you to directly select on the map the IDs of the segments that will make up your next road.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/UlysselaGlisse/RoutesComposer]]></homepage>
        <file_name>routes_composer.1.3.zip</file_name>
        <icon>/media/packages/2025/icon_uj3RnH6.png</icon>
        <author_name><![CDATA[Ulysse Descamps]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/routes_composer/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[ulaglisse]]></uploaded_by>
        <create_date>2024-12-03T11:41:08.131286+00:00</create_date>
        <update_date>2025-11-17T10:45:32.413867+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UlysselaGlisse/RoutesComposer/issues]]></tracker>
        <repository><![CDATA[https://github.com/UlysselaGlisse/RoutesComposer]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2426</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick BDL" version="1.0.0" plugin_id="3628">
        <description><![CDATA[Pobieranie obiektów GUS/BDL (EN: Downloading objects from the Central Statistical Office of Poland / Local Data Bank)]]></description>
        <about><![CDATA[&lt;ul&gt; &lt;li&gt; &lt;b&gt;PL:&lt;/b&gt; Ta wtyczka umożliwia pobieranie danych z GUS (Głównego Urzędu Statystycznego) w celu analizy i wizualizacji w środowisku QGIS. Użytkownik może wybrać interesujące go obszary terytorialne, wskaźniki statystyczne oraz zakres lat, dla których dane mają zostać pobrane. W rezultacie tworzona jest warstwa wektorowa, w której każda jednostka terytorialna jest reprezentowana jako geometria, a wybrane wskaźniki są przypisane jako atrybuty w kolumnach. Dzięki temu dane statystyczne można łatwo przetwarzać, analizować i prezentować w kontekście przestrzennym. Wtyczka wspiera integrację z serwisem API GUS oraz zapewnia dynamiczne tworzenie warstw na podstawie wybranych kryteriów. Jest to narzędzie przydatne zarówno dla analityków, jak i instytucji badawczych, które potrzebują łatwego dostępu do danych statystycznych w kontekście geograficznym.&lt;/li&gt;&lt;li&gt; &lt;b&gt;EN:&lt;/b&gt; This plugin enables the retrieval of data from GUS (Central Statistical Office of Poland / Local Data Bank) for analysis and visualization within the QGIS environment. Users can select specific territorial areas, statistical indicators (PL described), and time ranges for which data should be fetched. As a result, a vector layer is created, where each territorial unit is represented as geometry, and the selected indicators are assigned as attributes in columns. This allows statistical data to be easily processed, analyzed, and presented in a spatial context. The plugin supports integration with the GUS API and provides dynamic layer creation based on user-selected criteria. It is a useful tool for analysts and research institutions that require seamless access to statistical data within a geographic context. &lt;/li&gt; &lt;/ul&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gospodarka-przestrzenna/QuickBDL]]></homepage>
        <file_name>quick_bdl.1.0.0.zip</file_name>
        <icon>/media/packages/2024/ico1_GHTgm07.png</icon>
        <author_name><![CDATA[Wawrzyniec Zipser, Maciej Kamiński Politechnika Wrocławska]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick_bdl/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mk45]]></uploaded_by>
        <create_date>2024-12-04T13:24:04.270233+00:00</create_date>
        <update_date>2024-12-04T13:24:06.181493+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gospodarka-przestrzenna/QuickBDL/issues]]></tracker>
        <repository><![CDATA[https://github.com/gospodarka-przestrzenna/QuickBDL]]></repository>
        <tags><![CDATA[poland,data,downloader,public,gus,bdl]]></tags>
        <downloads>2543</downloads>
        <average_vote>4.879804807807687</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Offset Lines" version="1.0" plugin_id="3630">
        <description><![CDATA[This plugin lets you offset lines parallel to its original in a variable distance]]></description>
        <about><![CDATA[New offset lines are generated on both sides of the selected features and added to the active layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/makogre/offsetLines]]></homepage>
        <file_name>offset_lines.1.0.zip</file_name>
        <icon>/media/packages/2024/icon_ALxwtgr.png</icon>
        <author_name><![CDATA[makogre]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/offset_lines/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[makogre]]></uploaded_by>
        <create_date>2024-12-05T08:10:15.710778+00:00</create_date>
        <update_date>2024-12-11T08:40:24.301964+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/makogre/offsetLines/issues]]></tracker>
        <repository><![CDATA[https://github.com/makogre/offsetLines]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4803</downloads>
        <average_vote>4.411505205576142</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TiffSlider" version="0.1" plugin_id="3631">
        <description><![CDATA[This plugin lets you switch effortlessly between .tiff-layers in your chosen group via horizontal slider. It was mainly scripted to visualize GPR radargrams to depict the change of ground structure.]]></description>
        <about><![CDATA[This plugin allows you to seamlessly switch between .tiff layers within a selected group using a horizontal slider. Designed with simplicity and efficiency in mind, it is particularly useful for visualizing Ground Penetrating Radar (GPR) radargrams to analyze changes in ground structure over time or space. With this tool, users can quickly compare layers and enhance their interpretation of subsurface data. Perfect for geologists, archaeologists, and engineers working with geospatial imagery.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Eveniven/giscodes]]></homepage>
        <file_name>tiff_slider.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_8JGl4Z0.png</icon>
        <author_name><![CDATA[Eveniven]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tiff_slider/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[eveniven]]></uploaded_by>
        <create_date>2024-12-05T08:51:56.257129+00:00</create_date>
        <update_date>2024-12-05T08:51:59.641028+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Eveniven/giscodes/issues]]></tracker>
        <repository><![CDATA[https://github.com/Eveniven/giscodes]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1494</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dissect and dissolve overlaps (SAGA NextGen)" version="0.1" plugin_id="3632">
        <description><![CDATA[Detect, zoom to, dissect and dissolve overlaps in one polygon layer.]]></description>
        <about><![CDATA[Use this plugin to detect if a polygon layer has two or more features (polygons) overlapping each other. In this case, the plugin can dissect the overlaps into separate features and dissolve those features into the neighboring feature, with three options: largest area, smallest area or largest common boundary. Please download and read the Manual, available from homepage. To run the plugin, go to Processing Toolbox and click on  &quot;Dissect/Dissolve Overlaps SAGANG&quot;. To use the &quot;Dissect and dissolve overlaps (SAGA NextGen)&quot; plugin, you need to install and enable the &quot;Processing Saga NextGen Provider&quot; plugin, along with the latest SAGA GIS version (9.x): 1 - download the latest version 9.x of SAGA GIS; 2 - unzip the file &quot;saga-9.3.2_x64&quot; or newer and look for the file &quot;saga4qgis&quot;; unzip this file and follow the instructions contained therein; 3 - activate the &quot;Processing Saga NextGen Provider&quot; plugin by going to Settings -&gt; Options -&gt; Processing -&gt; Providers -&gt; SAGANG and enable SAGA New Generation, and look for the folder where &quot;saga-9.3.2_x64&quot; was unzipped (this folder must be kept in your PC).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Almeida100/Dissect-dissolve-overlaps-SAGA-NextGen]]></homepage>
        <file_name>dissect_dissolve_overlaps_sagang.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Antonio Sobral Almeida]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dissect_dissolve_overlaps_sagang/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[al150]]></uploaded_by>
        <create_date>2024-12-05T17:49:15.466320+00:00</create_date>
        <update_date>2024-12-05T17:49:17.235230+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Almeida100/Dissect-dissolve-overlaps-SAGA-NextGen/issues]]></tracker>
        <repository><![CDATA[https://github.com/Almeida100/Dissect-dissolve-overlaps-SAGA-NextGen]]></repository>
        <tags><![CDATA[vector,feature,editing,shapefile,attribute,intersection,polygon]]></tags>
        <downloads>51478</downloads>
        <average_vote>4.7599048019039625</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Q4TS" version="0.13.0" plugin_id="3634">
        <description><![CDATA[QGIS for TELEMAC-SALOME is a pre-processing of open-TELEMAC meshes : mesh creation, mesh modification, mesh interpolation, creation of boundary condition file.]]></description>
        <about><![CDATA[Q4TS (QGIS for TELEMAC-SALOME)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.11</qgis_minimum_version>
        <qgis_maximum_version>4.10.16</qgis_maximum_version>
        <homepage><![CDATA[https://otm.gitlab-pages.pam-retd.fr/q4ts/index.html]]></homepage>
        <file_name>q4ts.0.13.0.zip</file_name>
        <icon>/media/packages/2026/q4ts_64.png</icon>
        <author_name><![CDATA[EDF, Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/q4ts/version/0.13.0/download/</download_url>
        <uploaded_by><![CDATA[bacchi]]></uploaded_by>
        <create_date>2024-12-06T15:01:20.505824+00:00</create_date>
        <update_date>2026-04-16T13:26:40.347905+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.pam-retd.fr/otm/q4ts/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.pam-retd.fr/otm/q4ts]]></repository>
        <tags><![CDATA[flood,hydraulic modelling,river,telemac,telemac-mascaret,salome,sea]]></tags>
        <downloads>3035</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Siligites" version="4.1.1" plugin_id="3637">
        <description><![CDATA[Plugin pour l&#x27;étude de la proximité entre des sites archéologiques et les formations géologiques à silicites qui leur sont liées]]></description>
        <about><![CDATA[Plugin pour l&#x27;étude de la proximité entre des sites archéologiques et les formations géologiques à silicites qui leur sont liées]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/Thomas.Andre.Archgeo/Siligites]]></homepage>
        <file_name>siligites.4.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_TuJQ6BN.png</icon>
        <author_name><![CDATA[Thomas ANDRE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/siligites/version/4.1.1/download/</download_url>
        <uploaded_by><![CDATA[thomasandre]]></uploaded_by>
        <create_date>2024-12-07T19:57:59.728792+00:00</create_date>
        <update_date>2026-02-10T19:28:23.836220+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Thomas.Andre.Archgeo/Siligites]]></tracker>
        <repository><![CDATA[https://gitlab.com/Thomas.Andre.Archgeo/Siligites]]></repository>
        <tags><![CDATA[python,r,archaeology,least cost path analysis,open science,spatial network analysis]]></tags>
        <downloads>1881</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Variable Panel" version="0.6" plugin_id="3638">
        <description><![CDATA[Displays project variables in a dedicated panel.]]></description>
        <about><![CDATA[This plugin provides a dedicated panel for viewing and editing project variables.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alexandreparente/VariablePanel]]></homepage>
        <file_name>variable_panel.0.6.zip</file_name>
        <icon>/media/packages/2026/mIconExpression.svg</icon>
        <author_name><![CDATA[Alexandre Parente Lima]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/variable_panel/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[alexandreparente]]></uploaded_by>
        <create_date>2024-12-08T17:41:43.313470+00:00</create_date>
        <update_date>2026-04-02T20:32:42.662497+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alexandreparente/VariablePanel/issues]]></tracker>
        <repository><![CDATA[https://github.com/alexandreparente/VariablePanel]]></repository>
        <tags><![CDATA[project,dock,panel,variables]]></tags>
        <downloads>2457</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qgis_color_ramp_generator" version="2.0" plugin_id="3640">
        <description><![CDATA[Create and export QGIS color ramps from hex palettes with CSV import, XML export, GPL export, and RGBA preview]]></description>
        <about><![CDATA[Builds QGIS preset color ramps from hex palettes, including RGBA support, CSV import, merged XML export, and GPL palette export.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Heed725/qgis-color-ramp-generator-plugin]]></homepage>
        <file_name>color_ramp.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_yQeodkl.png</icon>
        <author_name><![CDATA[Hemed Lungo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/color_ramp/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[h9212]]></uploaded_by>
        <create_date>2024-12-09T07:12:38.643776+00:00</create_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Heed725/qgis-color-ramp-generator-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Heed725/qgis-color-ramp-generator-plugin]]></repository>
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        <server>False</server>
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        <icon>/media/packages/2025/wurman_dots_logo_QS4BCj6.svg</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
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        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_wurman_dots/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_wurman_dots]]></repository>
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        <server>False</server>
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        <about><![CDATA[This plugin facilitates packaging, aggregation and integration of WIMS QGIS projects with WIMS Field Data for collaboration with Wayleaves field teams&lt;br&gt;
It analyses the current project and suggests (and performs) actions needed to make the project working on WIMS field mobile application.]]></about>
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        <icon>/media/packages/2025/icon_vL6TAjG.png</icon>
        <author_name><![CDATA[memd]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wimsintegrate/version/v5.24.3/download/</download_url>
        <uploaded_by><![CDATA[katxeus]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/katxeus/wims/issues]]></tracker>
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        <server>False</server>
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        <description><![CDATA[DataAW compares two files using area-weighted data.]]></description>
        <about><![CDATA[DataAW transfers data from a vector file to a grid vector file, using the area-weighted data method. Mandatory CRS in meters (Project Properties and Files).]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2024/icon_sWpP8O1.png</icon>
        <author_name><![CDATA[Eunice Barbosa]]></author_name>
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        <uploaded_by><![CDATA[eunicebb]]></uploaded_by>
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        <deprecated>False</deprecated>
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        <tags><![CDATA[brazil,area-weighted data]]></tags>
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        <description><![CDATA[This plugin makes it easy to print using templates and text]]></description>
        <about><![CDATA[This plugin makes it easy to fill text items in print templates and place/rotate plot or Change the papersize.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_enzJIVa.png</icon>
        <author_name><![CDATA[g3er geoplaning GmbH]]></author_name>
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        <uploaded_by><![CDATA[amphibitus]]></uploaded_by>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EODH Workflows" version="0.2.4" plugin_id="3645">
        <description><![CDATA[Access and run workflows on the EODH]]></description>
        <about><![CDATA[Access and run workflows on the EODH. The EODH is a climate and Earth Observation Hub and processing platform.]]></about>
        <trusted>False</trusted>
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        <author_name><![CDATA[Oxidian]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eodh_qgis/version/0.2.4/download/</download_url>
        <uploaded_by><![CDATA[figi44]]></uploaded_by>
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        <repository><![CDATA[https://github.com/EO-DataHub/eodh-qgis]]></repository>
        <tags><![CDATA[climate,earth observation,cwl]]></tags>
        <downloads>2739</downloads>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuODK" version="1.3.2" plugin_id="3646">
        <description><![CDATA[A bridge between ODK Central data and QGIS for loading ODK submissions and managing entities]]></description>
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        <trusted>False</trusted>
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        <uploaded_by><![CDATA[seewhy]]></uploaded_by>
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        <server>False</server>
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        <description><![CDATA[Applicatif destiné à la prise de notes sur tablette numérique lors des opérations de terrain réalisées pendant le remaniement cadastral. APNCad est le fruit de la collaboration entre Jean-Noël MARCHAL de la BNIC de Nancy et Marius FRANÇOIS-MARCHAL.]]></description>
        <about><![CDATA[Applicatif destiné à la prise de notes sur tablette numérique lors des opérations de terrain réalisées pendant le remaniement cadastral. APNCad est le fruit de la collaboration entre Jean-Noël MARCHAL de la BNIC de Nancy et Marius FRANÇOIS-MARCHAL.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2026/icon_OTsS1Ur.png</icon>
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        <about><![CDATA[Calculation of potential transit and car accessibility at a resolution of a single building.]]></about>
        <trusted>False</trusted>
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        <author_name><![CDATA[Igor Shusterman, Aleksey Ogulenko, Itzhak Benenson]]></author_name>
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The fields in the original OpenStreetMap data are applied to the lines in the output layer.

Requires python modules networkx, geophy and heapq]]></about>
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        <icon>/media/packages/2025/icon_u64T8Rp.png</icon>
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        <server>False</server>
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        <author_name><![CDATA[Giacomo Titti and Luigi Lombardo]]></author_name>
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        <experimental>False</experimental>
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        <server>False</server>
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        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_NsBNGvh.png</icon>
        <author_name><![CDATA[Shota Yamamoto]]></author_name>
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        <uploaded_by><![CDATA[geogra]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/geogra-geogra/qgis-otp-multi-isochrone-plugin]]></repository>
        <tags><![CDATA[]]></tags>
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        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Wtyczka do wizualizacji mapy glebowo rolniczej]]></description>
        <about><![CDATA[Wtyczka do wizualizacji mapy glebowo rolniczej]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.gov.pl/web/gugik]]></homepage>
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        <icon>/media/packages/2024/icon_zcSlk57.png</icon>
        <author_name><![CDATA[GUGiK]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapa_glebowo_rolnicza/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[marcinlebiecki]]></uploaded_by>
        <create_date>2024-12-22T20:44:42.704373+00:00</create_date>
        <update_date>2024-12-23T07:04:19.557273+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GlownyUrzadGeodezjiIKartografii/mapa_glebowo_rolnicza/issues]]></tracker>
        <repository><![CDATA[https://github.com/GlownyUrzadGeodezjiIKartografii/mapa_glebowo_rolnicza]]></repository>
        <tags><![CDATA[python]]></tags>
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        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[Calculate the hypsometric curve of a drainage basin starting from a DEM and a polygon representing the basin boundary. The plugin computes elevation intervals, partial and cumulative areas, h_min, h_max, h_med, and the Hypsometric Integral (HI). It also generates the hypsometric curve graph and allows exporting both the table and the plot. Fully compatible with QGIS 4 and Qt6.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/drFaustino/Hypsometric-curve]]></homepage>
        <file_name>hypsometric_curve.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icona_hyp_ufTfgo0.png</icon>
        <author_name><![CDATA[Dr. Geol. Faustino Cetraro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hypsometric_curve/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[drfaustino]]></uploaded_by>
        <create_date>2024-12-23T14:48:14.726546+00:00</create_date>
        <update_date>2026-03-23T11:28:52.293167+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/drFaustino/Hypsometric-curve]]></tracker>
        <repository><![CDATA[https://github.com/drFaustino/Hypsometric-curve]]></repository>
        <tags><![CDATA[vector,raster,analysis,geomorphology,statistics,hydrology,dem,elevation,hypsometry,basin]]></tags>
        <downloads>6033</downloads>
        <average_vote>4.7646498276490865</average_vote>
        <rating_votes>85</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Basemaps" version="1.5" plugin_id="3660">
        <description><![CDATA[A QGIS plugin to load multiple online basemap services]]></description>
        <about><![CDATA[This plugin allows you to load and manage multiple basemap services. There are some popular basemap services built-in, including:

- *Esri*: World Imagery, World Terrain, World StreetMap, World Imagery Wayback (2014-02-20 to present), etc.
- *Google*: Google Maps, Google Satellite, Google Terrain, Google Satellite Hybrid, etc.
- *OpenStreetMap*: Open Street Map, Open Topo Map.
- *EOX Sentinel-2 cloudless*: EOX Sentinel-2 cloudless (2016-2024)
- *Bing*: Bing Virtual Earth.
- *F4map*: F4map 2D
- etc.

If you have additional basemap services to contribute, feel free to submit a pull request or open a discussion in the GitHub repository: https://github.com/Fanchengyan/Basemaps]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Fanchengyan/Basemaps]]></homepage>
        <file_name>basemaps.1.5.zip</file_name>
        <icon>/media/packages/2025/icon_G1a42x8.svg</icon>
        <author_name><![CDATA[Chengyan Fan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/basemaps/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[fanchengyan]]></uploaded_by>
        <create_date>2024-12-25T02:43:12.598224+00:00</create_date>
        <update_date>2025-12-14T11:52:24.247321+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Fanchengyan/Basemaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/Fanchengyan/Basemaps]]></repository>
        <tags><![CDATA[map,wms,openstreetmap,google maps,bing maps,esri,basemap,wmts,xyz,sentinel-2,online map]]></tags>
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        <average_vote>4.322206214051059</average_vote>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Integrator usług danych przestrzennych" version="0.1.2" plugin_id="3663">
        <description><![CDATA[Narzędzie stworzone dla użytkowników QGIS, które umożliwia szybki i bezpośredni dostęp do danych przestrzennych pochodzących z oficjalnej ewidencji zbiorów i usług danych przestrzennych kraju (EZiUDP). To najlepszy sposób pracy z polskimi danymi przestrzennymi, jeśli na co dzień z nich korzystasz.]]></description>
        <about><![CDATA[Wtyczka wykorzystuje, prowadzoną zgodnie z art.13 ust. 2 ustawy z dnia 4 marca 2010r. o infrastrukturze informacji przestrzennej (IIP) oraz §4 ust.1 Rozporządzenia Ministra Inwestycji i Rozwoju z dnia 28 listopada 2018 r. zmieniającego rozporządzenie w sprawie ewidencji zbiorów i usług danych przestrzennych objętych infrastrukturą informacji przestrzennej, publicznie dostępną ewidencje zbiorów oraz usług danych przestrzennych objętych infrastrukturą prowadzoną przez Głównego Geodetę Kraju.

Dzięki tej wtyczce użytkownicy mogą łatwo, z poziomu QGIS, dodawać dane z państwowych jednostek administracyjnych, bez konieczności przeszukiwania dzięsiątek i setek stron internetowych (m. in. BIP) i lokalnych geoportali. Wtyczka zapewnia dostęp do zawsze aktualnych usług, obejmujących całą Polskę – od poziomu krajowego, przez wojewódzki i powiatowy, aż po gminny.

Najważniejsze właściwości:
• Zawsze aktualne dane: Dane pobierane są bezpośrednio z oficjalnych usług IIP, dzięki czemu użytkownicy mają dostęp do najnowszych zasobów przestrzennych.
• Łatwość użytkowania: Wszystkie dane dostępne są z poziomu QGIS, eliminując potrzebę odwiedzania wielu stron internetowych czy geoportali.
• Szeroki zakres danych: Wtyczka obsługuje dane na różnych poziomach administracyjnych – od krajowego po gminny.
• Automatyczne pobieranie: Dzięki mechanizmowi „na żywo”, dane są aktualizowane natychmiast po ich udostępnieniu przez właściwe jednostki administracyjne.
• Obsługuje następujące rodzaje usług IIP: WMS, WMTS, WFS i WCS

Ważna informacja!
Wtyczka przetwarza duże ilości zapytań do serwerów usług, odpytując tysiące z nich (na dzień 20.12.2024 r. ponad 11 000) dostępnych w ramach IIP. Proces ten może chwilę potrwać, więc prosimy o cierpliwość. Jeśli &quot;kółeczko&quot; się kręci, to nie znaczy, że wtyczka się zawiesiła. To znaczy, że wtyczka intensywnie pracuje, aby dostarczyć najbardziej aktualne dane.]]></about>
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        <uploaded_by><![CDATA[envirosolutions]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/envirosolutionspl/integrator_uslug_danych_przestrzennych/issues]]></tracker>
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        <tags><![CDATA[]]></tags>
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        <description><![CDATA[This plugin prepares the data for the MGB-IPH model.]]></description>
        <about><![CDATA[The user inputs the data in .csv format, and the plugin converts it to .txt ASCII.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2024/icon_3dxeaDy.png</icon>
        <author_name><![CDATA[André Rodrigues da Silva]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mgbinputtool/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[andrerodrigues98]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/andrerdsilva/MGBInputTool/issues]]></tracker>
        <repository><![CDATA[https://github.com/andrerdsilva/MGBInputTool]]></repository>
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        <downloads>855</downloads>
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        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RAVI" version="6.0" plugin_id="3665">
        <description><![CDATA[Analysis of Vegetation Indices Time Series and download of multispectral imagery]]></description>
        <about><![CDATA[RAVI is a QGIS plugin designed to  integrate Google Earth Engine (GEE) resources, enabling efficient processing and visualization of geospatial data. Utilizing the Sentinel-2 harmonized surface reflectance catalog, the plugin supports time series vegetation index calculations and download of multispectral imagery. These features make it tool for students, researchers, farmers, and professionals working in agriculture, land monitoring, or environmental management.]]></about>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.raviqgis.org]]></homepage>
        <file_name>ravi.6.0.zip</file_name>
        <icon>/media/packages/2026/vetor.png</icon>
        <author_name><![CDATA[FARM Analytica]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ravi/version/6.0/download/</download_url>
        <uploaded_by><![CDATA[caioarantes]]></uploaded_by>
        <create_date>2024-12-27T17:15:44.749749+00:00</create_date>
        <update_date>2026-02-25T12:39:03.638840+00:00</update_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/farmanalytica/ravi-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/farmanalytica/ravi-qgis-plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>9899</downloads>
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        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="French Point Elevation" version="1.0.1" plugin_id="3666">
        <description><![CDATA[Récupère l&#x27;altitude à partir du RGE ALTI® (IGN, FRANCE)]]></description>
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        <homepage><![CDATA[https://github.com/dpitaval/French-Point-Elevation]]></homepage>
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        <icon></icon>
        <author_name><![CDATA[David Pitaval]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/french_point_elevation/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[doubleclick]]></uploaded_by>
        <create_date>2024-12-30T07:42:59.694524+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dpitaval/French-Point-Elevation/issues]]></tracker>
        <repository><![CDATA[https://github.com/dpitaval/French-Point-Elevation]]></repository>
        <tags><![CDATA[elevation,france,rge alti®,altitude]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Filters the active layer based on selected features, considering the structure and field types for optimized filtering.]]></description>
        <about><![CDATA[EN: This QGIS plugin was developed to enhance the feature filtering experience in vector layers, offering an intelligent and automated solution for executing filters based on the user&#x27;s selected features. Whether working with editable or non-editable layers (such as CSV or WFS), the plugin adapts to the Attribute Table. In situations where the editable layer does not have a suitable field for filtering, it automatically creates and fills an auxiliary field &quot;id_row_nr&quot; with sequential integer values, ensuring accurate and effective filtering, regardless of the data source, mitigating the possibility of duplication in filtered features. In non-editable layers, the plugin searches for the most suitable field to execute the filter and, if none is found, returns a message to the user.

PT: Este plugin para QGIS foi desenvolvido para aprimorar a experiência de filtragem de feições em camadas vetoriais, oferecendo uma solução inteligente e automatizada para a execução do filtro baseado nas feições selecionadas pelo usuário. Seja trabalhando com camadas editáveis ou não-editáveis (como CSV ou WFS), o plugin a adapta-se a Tabela de Atributos. Em situações onde a camada editável não possui um campo apropriado para filtragem, ele cria e preenche automaticamente um campo auxiliar &quot;id_row_nr&quot; com valores inteiros sequenciais, garantindo uma filtragem precisa e eficaz, independentemente da origem dos dados, mitigando a possibilidade de duplicidade nas feições filtradas. Em camadas não-editáveis o plugin procura o campo mais adequado para executar o filtro e, caso não encontre, retorna uma mensagem ao usuário.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/TiagoJoseMS/Filtra_Selecionados]]></homepage>
        <file_name>filtra_selecionados.3.0.zip</file_name>
        <icon>/media/packages/2025/icon_7K2MQ10.png</icon>
        <author_name><![CDATA[Tiago José M Silva]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/filtra_selecionados/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[moraessilva]]></uploaded_by>
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        <repository><![CDATA[https://github.com/TiagoJoseMS/Filtra_Selecionados/tree/main]]></repository>
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        <downloads>2905</downloads>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geospatial Gateway - GeospatialCloudServ and Tile Server Connection" version="0.2" plugin_id="3669">
        <description><![CDATA[This plugin requires the purchase of either Windows Tile Server https://tileserver.techmaven.net or Ready to Go Cloud or On-Prem/Edge Virtual Machine Solution https://geospatialcloudserv.com]]></description>
        <about><![CDATA[Rapidly connect and display geospatial data being served by Tile Server or Geospatial Cloud Serv to QGIS Desktop
Upload geospatial data and work with transactional API for publishing and updating postgis database
1. Access Team Collaboration Module and Forms
- Share your geolocation, See Teams Location on the Map
- Geofencing
- Text Messaging with attachments
- Send Status Updates
- Make and Update Tasks/Assignments
- Create and Fill out Forms
2. Access advanced 2D and 3D Maps
3. Create Published Maps (JSON Catalogs)
4. Access API’s and Microservices]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geospatialcloudserv.com/geospatial-gateway-plugin/]]></homepage>
        <file_name>ts_manager.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_hL1XbjH.png</icon>
        <author_name><![CDATA[Tech Maven Geospatial, LLC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ts_manager/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[techmavengeospatial1]]></uploaded_by>
        <create_date>2025-01-02T13:38:50.632556+00:00</create_date>
        <update_date>2025-01-06T15:15:02.551447+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/techmavengeospatial/Geospatial-Gateway-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/techmavengeospatial/Geospatial-Gateway-QGIS-Plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1329</downloads>
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        <server>False</server>
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        <description><![CDATA[Automatically generate and label polygons with custom names, and add the labels as a new attribute field to the attribute table.]]></description>
        <about><![CDATA[Polygon Labeler is a QGIS plugin designed to make labeling polygons effortless and efficient. This tool allows you to automatically generate custom labels for polygons and store them as a new field in the attribute table. Key features include: Automated labeling based on unique identifiers or custom logic. Creation of a new attribute field to store labels for easy data management. Dynamic application of labels directly on the map for enhanced visualization. Whether you&#x27;re working on zoning maps, vulnerability analyses, or any polygon-based GIS project, Polygon Labeler streamlines your workflow, saving you time and effort.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_vyttPDx.png</icon>
        <author_name><![CDATA[Peter Boateng]]></author_name>
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        <uploaded_by><![CDATA[peterboateng06]]></uploaded_by>
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        <repository><![CDATA[https://github.com/Get-rich-dev/Polygon-Labeler.git]]></repository>
        <tags><![CDATA[python]]></tags>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NL wfs_loader" version="0.1" plugin_id="3672">
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        <about><![CDATA[Onder andere de kaartlagen van de Atlas de Leefomgeving (RIVM ALO) de Atlas Natuurlijk Kapitaal (RIVM ANK) en de Risicokaart. Polygoon- en puntdata wordt correct geladen.&lt;br&gt;&lt;br&gt;Het doel was om lagen van de atlassen te kunnen downloaden als features. De websites maken gebruik van WMS lagen maar het is leuker om WFS te krijgen want vector. Dit bleek mogelijk :-)&lt;br&gt;&lt;br&gt;Gebruik RapidAPI om de endpoints te controleren.&lt;br&gt;&lt;br&gt;De plugin houdt rekening met verschil tussen Punt-, polygoon- en multipolygoondata.&lt;br&gt;&lt;br&gt;https://www.atlasleefomgeving.nl&lt;br&gt;https://www.atlasnatuurlijkkapitaal.nl&lt;br&gt;https://www.risicokaart.nl]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/TacodeJong/QGIS_AtlasLeefomgeving]]></homepage>
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        <icon>/media/packages/2025/icon_4k94wIE.svg</icon>
        <author_name><![CDATA[T.  de Jong]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nl_wfs_loader/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[tictaco]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TacodeJong/QGIS_AtlasLeefomgeving/issues]]></tracker>
        <repository><![CDATA[https://github.com/TacodeJong/QGIS_AtlasLeefomgeving]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>875</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="argentina_georef" version="2.1" plugin_id="3674">
        <description><![CDATA[Obtiene información administrativa de Argentina a partir de coordenadas]]></description>
        <about><![CDATA[Este plugin utiliza la API de georeferenciación de datos.gob.ar para obtener información administrativa (provincia, departamento, municipio) a partir de coordenadas geográficas.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/thomasartopoulos/argentinageoref-qgis-plugin]]></homepage>
        <file_name>argentina_georref.2.1.zip</file_name>
        <icon>/media/packages/2025/icon_89Pmw3g.png</icon>
        <author_name><![CDATA[Thomas Artopoulos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/argentina_georref/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[thomasartopoulos]]></uploaded_by>
        <create_date>2025-01-08T02:53:40.837749+00:00</create_date>
        <update_date>2025-01-10T22:50:48.654307+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/thomasartopoulos/argentinageoref-qgis-plugin]]></tracker>
        <repository><![CDATA[https://github.com/thomasartopoulos/argentinageoref-qgis-plugin]]></repository>
        <tags><![CDATA[reverse geocoding,argentina]]></tags>
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        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QBeachball" version="1.2.1" plugin_id="3675">
        <description><![CDATA[Easily plot focal mechanisms (beachballs) onto a map.]]></description>
        <about><![CDATA[Easily plot focal mechanisms (beachballs) onto a map. Uses the &lt;a href=&quot;https://docs.obspy.org/&quot;&gt;ObsPy&lt;/a&gt; library under the hood, to render beachball plots as SVG icons. &lt;/br&gt;&lt;/br&gt;

&lt;strong&gt;Workflow&lt;/strong&gt; is split into 2 steps: &lt;br/&gt;
1. Beachball plots are created from a layer of events, and rendered as SVG icons. The icons are saved (by default in a folder called &#x27;beachball_svgs&#x27; in the project directory) and named based on the selected ID field (may be an fid or an event name/identifier, but it must be unique). &lt;br/&gt;
2. A layer symbology is created, using SVG markers with a data-defined expression, to load the SVG for each event based on the selected id field/event name. &lt;br/&gt;
The user can then easily modify the symbology (e.g. change the marker size). &lt;br/&gt;&lt;br/&gt;
You can color the beachballs based on depth or tectonic regime. For the latter, you will need a field describing each event`s regime, using the following nomenclature:
&lt;ul&gt;
&lt;li&gt;SS : Strike-slip faulting&lt;/li&gt;
&lt;li&gt;TF : Thrust faulting&lt;/li&gt;
&lt;li&gt;NF : Normal faulting&lt;/li&gt;
&lt;li&gt;NS : Extensional Strike Slip faulting&lt;/li&gt;
&lt;li&gt;TS : Compressional Strike slip faulting&lt;/li&gt;
&lt;li&gt;XF, UF : Unknown&lt;/li&gt;
&lt;/ul&gt;
&lt;br/&gt;&lt;br/&gt;
&lt;strong&gt;Required fields:&lt;/strong&gt;The data at hand, must contain either strike/rake/dip, or the 6 moment tensor components (Harvard GCMT convention: Mrr, Mtt, Mpp, Mrt, Mrp, Mtp) and the event location (latitude, longitude, depth). &lt;br/&gt;&lt;br/&gt;
&lt;strong&gt;Warning:&lt;/strong&gt; creating the SVGs is currently done in the main thread, so for large datasets, the process may take a while, during which QGIS may appear unresponsive. This will be delegated to a processing provider in the next version. &lt;/br&gt;&lt;/br&gt;
&lt;strong&gt;Input format:&lt;/strong&gt;You can use a CSV/TSV file &lt;a href=&quot;https://www.qgistutorials.com/en/docs/importing_spreadsheets_csv.html&quot;&gt;tutorial&lt;/a&gt; or any other vector layer (e.g. shapefile, geopackage) with the required fields. You can find a sample dataset, extracted from the &lt;a href=&quot;https://www.globalcmt.org/CMTfiles.html&quot;&gt;GCMT Catalog&lt;/a&gt;, &lt;a href=&quot;https://raw.githubusercontent.com/lymperis-e/qbeachball/refs/heads/main/sample_data/south-aegean-gcmt_2017_09_07.csv&quot;&gt;here&lt;/a&gt; &lt;br/&gt;
&lt;strong&gt;Python dependencies:&lt;/strong&gt; The plugin requires the &lt;strong&gt;obspy, matplotlib, numpy&lt;/strong&gt; packages. Upon installing the plugin, you will be prompted to install them. In some cases, this may fail you need to install it manually. In this case, search for manual python dependency installation in QGIS, or &lt;a href=&quot;mailto:geo.elymperis@gmail.com&quot;&gt;email&lt;/a&gt; me to try and troubleshoot it together.
The plugin was bootstraped using &lt;a href=&quot;https://rocksandwater.net/blog/2017/09/plot-focal-mechs-in-qgis/&quot;&gt;this&lt;/a&gt; amazing article by Richard Styron.&lt;br/&gt;&lt;br/&gt;
&lt;strong&gt;Citation:&lt;/strong&gt; If you use this plugin in your research, please cite it as: &lt;br/&gt;
Efstathios Lymperis (2025). QBeachball: A QGIS plugin for plotting focal mechanisms, based on the ObsPy library. Version 1.2.0 URL: https://github.com/lymperis-e/qbeachball [last accessed yyyy/mm/dd]
&lt;br/&gt;
You may also like to cite ObsPy, the library used under the hood.]]></about>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lymperis-e/qbeachball]]></homepage>
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        <icon>/media/packages/2025/icon_u8gvqYu.png</icon>
        <author_name><![CDATA[Lymperis Efstathios]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qbeachball/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[elymperis]]></uploaded_by>
        <create_date>2025-01-08T09:44:34.109250+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lymperis-e/qbeachball/issues]]></tracker>
        <repository><![CDATA[https://github.com/lymperis-e/qbeachball]]></repository>
        <tags><![CDATA[python,geology,earthquake,seismic,fault,seismology,epicenter,beachball,hypocenter,focal mechanism]]></tags>
        <downloads>2889</downloads>
        <average_vote>4.499625031247397</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Reclassifier" version="1.1.0" plugin_id="3676">
        <description><![CDATA[Raster Reclassifier for QGIS 4 (Qt6). Supports histogram generation, multiple classification methods, manual and interactive interval definition, table import/export (CSV/TXT), graph export, and customizable output raster settings.]]></description>
        <about><![CDATA[Reclassify raster values using equal intervals, quantiles, K-means, Natural Breaks (approx.), or user-defined ranges. Includes histogram visualization, raster statistics, interactive interval definition, table import/export, and graph export. Added interactive interval definition in User mode (row selection + histogram click)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/drFaustino/Raster_Reclassifier]]></homepage>
        <file_name>raster_reclassifier.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_rast_MbgtjZJ.png</icon>
        <author_name><![CDATA[Dr. Geol. Faustino Cetraro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raster_reclassifier/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[drfaustino]]></uploaded_by>
        <create_date>2025-01-09T09:08:42.174092+00:00</create_date>
        <update_date>2026-04-11T13:24:08.668090+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/drFaustino/Raster_Reclassifier]]></tracker>
        <repository><![CDATA[https://github.com/drFaustino/Raster_Reclassifier]]></repository>
        <tags><![CDATA[raster,analysis,classification,histogram,gdal,numpy,qt6,reclassify,intervals,qgis4]]></tags>
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        <average_vote>4.760496331037591</average_vote>
        <rating_votes>71</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FeaturesBoundingBox" version="1.0" plugin_id="3677">
        <description><![CDATA[FeaturesBoundingBox is a QGIS plugin for when you need the bounding box of selected features in your map.]]></description>
        <about><![CDATA[Show the bounding box info for the selected features. License: GPL-3.0]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://codeberg.org/gis-projects/featuresboundingbox-for-qgis]]></homepage>
        <file_name>fbb.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_iLLma79.png</icon>
        <author_name><![CDATA[Michel Stuyts]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fbb/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mstuyts]]></uploaded_by>
        <create_date>2025-01-09T11:28:31.958000+00:00</create_date>
        <update_date>2025-01-09T11:28:34.808849+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://codeberg.org/gis-projects/featuresboundingbox-for-qgis/issues]]></tracker>
        <repository><![CDATA[https://codeberg.org/gis-projects/featuresboundingbox-for-qgis]]></repository>
        <tags><![CDATA[vector,feature,bbox]]></tags>
        <downloads>1224</downloads>
        <average_vote>1.332889036987671</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Census Downloader" version="1.1.1" plugin_id="3680">
        <description><![CDATA[Downloads Census Data for East Central Illinois region.]]></description>
        <about><![CDATA[Easily combine census data with the appropriate geometries as a QGIS layer. Limited to East Central Illinois counties.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/ccrpc/census_downloader]]></homepage>
        <file_name>census_downloader.1.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_pARevqW.png</icon>
        <author_name><![CDATA[Amer Islam]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/census_downloader/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[champaigncountyrpc]]></uploaded_by>
        <create_date>2025-01-09T22:04:01.406438+00:00</create_date>
        <update_date>2026-03-09T21:47:33.671901+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/ccrpc/census_downloader/-/issues/service_desk]]></tracker>
        <repository><![CDATA[https://gitlab.com/ccrpc/census_downloader]]></repository>
        <tags><![CDATA[census]]></tags>
        <downloads>5164</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geology from points and lines" version="2.0.2" plugin_id="3681">
        <description><![CDATA[Automated Geological Mapping Plugin]]></description>
        <about><![CDATA[This plugin automates the creation of geological polygons by converting linear geological boundaries (contacts) into closed geometries. By leveraging control points that hold the specific geological data, the tool automatically assigns the correct attributes such as lithology and age to the resulting areas. This ensures high geometric accuracy and maintains strict topology between contact lines and geological units.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pinogcosentino/Geology-from-points-and-lines]]></homepage>
        <file_name>geology_from_points_and_lines.2.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_FTrKp2z.png</icon>
        <author_name><![CDATA[Giuseppe Cosentino(Pino)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geology_from_points_and_lines/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[ls04ms]]></uploaded_by>
        <create_date>2025-01-10T18:08:07.407012+00:00</create_date>
        <update_date>2026-04-07T10:55:57.640411+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pinogcosentino/Geology-from-points-and-lines/pulls]]></tracker>
        <repository><![CDATA[https://github.com/pinogcosentino/Geology-from-points-and-lines]]></repository>
        <tags><![CDATA[python,geology,geoprocessing,cartography]]></tags>
        <downloads>5918</downloads>
        <average_vote>4.799904001919962</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoFlight Planner" version="3.0.7" plugin_id="3682">
        <description><![CDATA[A versatile QGIS plugin for drone flight planning, ensuring optimized flight paths and high-quality data capture.]]></description>
        <about><![CDATA[A QGIS plugin for precise drone flight planning, designed for photogrammetry, 3D inspections, and building facade mapping. It includes tools for terrain-following flights, circular paths around structures, and vertical facade mapping, generating CSV files compatible with Litchi or other flight apps and 2 QGIS Layers: Flight Line and Photos Points.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OpenGeoOne/qgis-drone-flight-planner/wiki]]></homepage>
        <file_name>qgis_drone_flight_planner.3.0.7.zip</file_name>
        <icon>/media/packages/2025/GeoFlightPlanner_UjFdMOb.png</icon>
        <author_name><![CDATA[Prof Cazaroli, Dr. Leandro França, Prof. Ilton Freitas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_drone_flight_planner/version/3.0.7/download/</download_url>
        <uploaded_by><![CDATA[leandrofranca]]></uploaded_by>
        <create_date>2025-01-13T11:53:54.848199+00:00</create_date>
        <update_date>2026-04-05T20:32:41.570380+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenGeoOne/qgis-drone-flight-planner/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenGeoOne/qgis-drone-flight-planner]]></repository>
        <tags><![CDATA[kmz,kml,csv,path,dji,gsd,brazil,drones,geoone,fly,plano de voo,litchi,rc2 controller,drone flight]]></tags>
        <downloads>23486</downloads>
        <average_vote>4.678487884144926</average_vote>
        <rating_votes>56</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AfpolGIS Data Connector" version="2.5.5" plugin_id="3683">
        <description><![CDATA[This plugin allows you to load geospatial data from several Data Platforms; OnaData, ODK, KoboToolbox, ES World, GTS, DHIS and POLIS.]]></description>
        <about><![CDATA[This software has been developed by the WHO AFRO GIS Team. It is designed to extract, transform and load data from OnaData, ODK, KoboToolbox, ES World, GTS, DHIS and POLIS then adds as a layer on QGIS. It also has the capability of filtering data by date ranges as well as synchronizing real time data from ODK, OnaData and KoboToolbox]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://kipsigei.gitbook.io/afpolgis-data-connector/]]></homepage>
        <file_name>afpolgis_data_connector.2.5.5.zip</file_name>
        <icon>/media/packages/2025/icon_XvJteiL.png</icon>
        <author_name><![CDATA[Kipchirchir Cheroigin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/afpolgis_data_connector/version/2.5.5/download/</download_url>
        <uploaded_by><![CDATA[kipsigei]]></uploaded_by>
        <create_date>2025-01-14T05:44:38.794846+00:00</create_date>
        <update_date>2025-05-09T14:57:35.482892+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KipSigei/afpolgis-data-connector/issues]]></tracker>
        <repository><![CDATA[https://github.com/KipSigei/afpolgis-data-connector]]></repository>
        <tags><![CDATA[gis,open data kit,data collection,odk,kobo,kobotoolbox,dhis,onadata,dhis2,es world,ona,gts,getodk]]></tags>
        <downloads>8863</downloads>
        <average_vote>4.9086446686664855</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TeleProp" version="25.3" plugin_id="3684">
        <description><![CDATA[Radio Propagation Fieldstrength]]></description>
        <about><![CDATA[Fieldstrength prediction of broadcasting transmitter&#x27;s.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/krbg-TeleDeLuxe/teleprop]]></homepage>
        <file_name>teleprop.25.3.zip</file_name>
        <icon>/media/packages/2025/TeleDeLuxe_988R3J7.png</icon>
        <author_name><![CDATA[Lakatos Tamás]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/teleprop/version/25.3/download/</download_url>
        <uploaded_by><![CDATA[krbg]]></uploaded_by>
        <create_date>2025-01-14T07:54:56.187885+00:00</create_date>
        <update_date>2025-01-30T12:16:38.418372+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/krbg-TeleDeLuxe/teleprop/issues]]></tracker>
        <repository><![CDATA[https://github.com/krbg-TeleDeLuxe/teleprop]]></repository>
        <tags><![CDATA[prediction,radio,propagation,transmitter,fieldstrength]]></tags>
        <downloads>1318</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RGD Savoie Mont Blanc Plugin" version="0.2" plugin_id="3685">
        <description><![CDATA[Plugin QGIS fournissant un accès simple aux flux de données géographiques du GIP RGD Savoie Mont Blanc et d&#x27;autres ressources géographiques utiles aux acteurs publics de Savoie et de Haute-Savoie ( plan cadastral, photographies aériennes, données d&#x27;urbanismes, cartes topographiques, données alimétriques, PCRS…). Fonctionnalités de recherche et consultation de données cadsatrales. Recherche d&#x27;adresse postale. Veuillez noter qu&#x27;un certain nombre de services accessibles par le plugin nécessitent d&#x27;avoir un accès autorisé accordé par la RGD Savoie Mont Blanc. info@rgd.fr pour toute création de compte.]]></description>
        <about><![CDATA[QGIS plugin providing simple access geographic resources provided by RGD  Savoie Mont Blanc and other useful geographic resources in the Savoie and Haute-Savoie French departments. Note that a number of services provided by the plugin require authorized access granted by RGD.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.2</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rgdsmb/rgd-qgis-plugin/wikis]]></homepage>
        <file_name>rgd.0.2.zip</file_name>
        <icon>/media/packages/2025/rgd_GZnPY1m.png</icon>
        <author_name><![CDATA[RGD, Spatialys]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rgd/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[rouault]]></uploaded_by>
        <create_date>2025-01-14T15:44:20.387684+00:00</create_date>
        <update_date>2025-03-10T16:26:28.072774+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rgdsmb/rgd-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/rgdsmb/rgd-qgis-plugin]]></repository>
        <tags><![CDATA[rgd,savoie,haute-savoie]]></tags>
        <downloads>1400</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Landsklim" version="0.8.2" plugin_id="3686">
        <description><![CDATA[Spatial interpolations from quantitative data]]></description>
        <about><![CDATA[The plugin allows you to make spatial interpolations from quantitative data from the reading of the initial data to the statistical analysis and the spatial interpolation. Warning : Landsklim uses several Python libraries which must be installed before you can use the plugin. Instructions for installing these Python libraries are available at the following link : https://thema.univ-fcomte.fr/productions/software/landsklim/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
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        <homepage><![CDATA[https://thema.univ-fcomte.fr/productions/software/landsklim/]]></homepage>
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        <icon>/media/packages/2026/icon_ZPlCvKM.png</icon>
        <author_name><![CDATA[Laboratoire ThéMA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/landsklim/version/0.8.2/download/</download_url>
        <uploaded_by><![CDATA[gvuidel]]></uploaded_by>
        <create_date>2025-01-16T10:05:18.067684+00:00</create_date>
        <update_date>2026-03-02T09:10:41.711567+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab-mshe.univ-fcomte.fr/thema/landsklim/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab-mshe.univ-fcomte.fr/thema/landsklim]]></repository>
        <tags><![CDATA[interpolation,climatology,landsklim]]></tags>
        <downloads>3438</downloads>
        <average_vote>3.713755177831738</average_vote>
        <rating_votes>7</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Stats Plus" version="0.1" plugin_id="3689">
        <description><![CDATA[Calculates detailed statistics of a selected raster layer, allows you to choose the band via a menu, and generates histogram and Gaussian curve plots.]]></description>
        <about><![CDATA[Allows you to calculate statistics for a selected raster layer, applying a precision that covers the entire raster. It offers the possibility to select the band of interest via a drop-down menu, and allows you to generate the histogram and Gaussian curve plot associated with the raster data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/drFaustino/Raster-Stats-Plus]]></homepage>
        <file_name>raster_stats_plus.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_SksFWcT.png</icon>
        <author_name><![CDATA[dr. Geol. Faustino Cetraro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raster_stats_plus/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[drfaustino]]></uploaded_by>
        <create_date>2025-01-17T08:39:55.225248+00:00</create_date>
        <update_date>2025-01-17T08:39:57.177073+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/drFaustino/Raster-Stats-Plus]]></tracker>
        <repository><![CDATA[https://github.com/drFaustino/Raster-Stats-Plus]]></repository>
        <tags><![CDATA[calculator,raster,analysis,statistics,layers]]></tags>
        <downloads>3230</downloads>
        <average_vote>4.871669957180585</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Seismic microzones with morphological gradient" version="1.0.3" plugin_id="3691">
        <description><![CDATA[This DTM-based plugin provides a critical territorial screening tool. By intersecting slope gradients (≥ 15°) with seismic microzonation data, it automatically identifies slopes prone to instability or motion amplification during earthquakes. An indispensable asset for geologists and land-use planners, it allows for rapid risk assessment, streamlined site investigations, and the design of targeted mitigation strategies, significantly reducing operational costs and time.]]></description>
        <about><![CDATA[Seismic zones with morphological gradient (SMG). The morphological gradient in seismic areas with slopes greater than 15° can influence the propagation of seismic waves, amplifying their energy and increasing the risks of ground instability. This plugin identifies areas with a morphological gradient with slopes ≥15° within defined zones (input vector file) starting from the DTM.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pinogcosentino/Seismic-Zones-with-morphological-gradient-SMG-]]></homepage>
        <file_name>seismic_microzones_with_morphological_gradient_smg.1.0.3.zip</file_name>
        <icon>/media/packages/2026/icon_aU1AshY.png</icon>
        <author_name><![CDATA[Giuseppe Cosentino (Pino)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/seismic_microzones_with_morphological_gradient_smg/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[ls04ms]]></uploaded_by>
        <create_date>2025-01-17T14:27:46.945892+00:00</create_date>
        <update_date>2026-03-13T13:22:48.066635+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pinogcosentino/Seismic-Zones-with-morphological-gradient-SMG-/issues]]></tracker>
        <repository><![CDATA[https://github.com/pinogcosentino/Seismic-Zones-with-morphological-gradient-SMG-]]></repository>
        <tags><![CDATA[geology,geomorphology,seismic microzonation]]></tags>
        <downloads>2628</downloads>
        <average_vote>4.874847661010594</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Color Plugin" version="0.8" plugin_id="3692">
        <description><![CDATA[This plugin enables users to customize the background colors of layers and groups in the layer tree view, enhancing visual organization and project management.]]></description>
        <about><![CDATA[It streamlines the organization and management of complex QGIS projects by allowing users to visually distinguish different layers or groups through custom background colors. This plugin adds a menu called &quot;Layer Highlight Color&quot;, located above the &quot;Properties&quot; in the &quot;Layer Properties&quot; menu. Always choose pastel or lighter colors. The code implements &quot;WCAG 2.0&quot; contrast ratio checking to avoid colors that can make hard to read the layer text.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Spartacus1/LayerColorPlugin]]></homepage>
        <file_name>layer_color_plugin.0.8.zip</file_name>
        <icon>/media/packages/2026/icon_kzrwUUl.png</icon>
        <author_name><![CDATA[Renato Henriques - University of Minho; Institute of Earth Sciences]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer_color_plugin/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[rhenriques]]></uploaded_by>
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        <update_date>2026-02-27T18:15:08.062203+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Spartacus1/LayerColorPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Spartacus1/LayerColorPlugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>7028</downloads>
        <average_vote>4.705605552614552</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sankalan 2" version="1.3" plugin_id="3693">
        <description><![CDATA[For Sankalan 2.0 Mobile Application.]]></description>
        <about><![CDATA[To be used in Sankalan 2.0 Mobile Application for transfer of data to and from mobile app. This QGIS Plugin is Designed and Developed by India Institute of Remote Sensing, ISRO Dehradun under AMRUT Phase -2 Programme of Ministry of Housing and Urban Affairs, Government of India, © IIRS, ISRO]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://amrut-qgis-plugin-899fcf.gitlab.io/]]></homepage>
        <file_name>sankalan2.1.3.zip</file_name>
        <icon>/media/packages/2026/icon_YsPwRcw.png</icon>
        <author_name><![CDATA[Indian Institute of Remote Sensing, ISRO]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sankalan2/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[iirs]]></uploaded_by>
        <create_date>2025-01-20T06:29:06.496259+00:00</create_date>
        <update_date>2026-03-12T05:37:05.120740+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/iirs-amrut/amrut-qgis-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/iirs-amrut/amrut-qgis-plugin]]></repository>
        <tags><![CDATA[python]]></tags>
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        <average_vote>4.153526651796016</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Connects to an Elasticsearch index, executes a query, and loads the results as a QGIS layer.]]></description>
        <about><![CDATA[This plugin allows users to connect to Elasticsearch and query geospatial data to load into QGIS as a layer.

Features:
* Dynamic Elasticsearch Connection
* Query Execution
* QGIS Integration
* Log viewer for status and error messages

Find more details here - https://github.com/kapil-grv/qgis-plugins/blob/main/elasticsearch_loader/README.MD]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kapil-grv/qgis-plugins/blob/main/elasticsearch_loader/README.MD]]></homepage>
        <file_name>elasticsearch_loader.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_9ZP9Y6s.png</icon>
        <author_name><![CDATA[Kapil Gauravan Venkatesan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/elasticsearch_loader/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[kapilgrv]]></uploaded_by>
        <create_date>2025-01-20T10:32:10.844654+00:00</create_date>
        <update_date>2025-01-20T10:32:12.457810+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kapil-grv/qgis-plugins/issues]]></tracker>
        <repository><![CDATA[https://github.com/kapil-grv/qgis-plugins/tree/main/elasticsearch_loader]]></repository>
        <tags><![CDATA[vector,database,geospatial,plugin,data,elasticsearch,qgis]]></tags>
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        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WQICalculator" version="0.6" plugin_id="3695">
        <description><![CDATA[A QGIS plugin that automatically generates the Water Quality Index (WQI) using raster data.]]></description>
        <about><![CDATA[A QGIS plugin that automatically generates the Water Quality Index (WQI) using raster data of multiple physicochemical parameters. Simplify your analysis and gain valuable insights into water quality of a given zone with just a few clicks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcelomolas/wqi_calculator]]></homepage>
        <file_name>wqi_calculator.0.6.zip</file_name>
        <icon>/media/packages/2025/icon_mRfjZWB.png</icon>
        <author_name><![CDATA[Carin Martinez; Marcelo Molas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wqi_calculator/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[marcelomolas]]></uploaded_by>
        <create_date>2025-01-22T00:17:24.107365+00:00</create_date>
        <update_date>2025-08-27T23:32:45.911456+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcelomolas/wqi_calculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcelomolas/wqi_calculator]]></repository>
        <tags><![CDATA[python,analysis,water,quality,wqi]]></tags>
        <downloads>2544</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WMS CQL Filter to QGIS Server Filter Request" version="1.0" plugin_id="3696">
        <description><![CDATA[Transforms CQL_FILTER WMS request to a QGIS server compatible FILTER request]]></description>
        <about><![CDATA[QGIS server plugin that intercepts and transforms a CQL_FILTER (Geoserver standard) WMS request to QGIS server-compatible FILTER request, which has a different syntax. See Github for more info.

Icon created by surang - Flaticon]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GidoStoop/cql-filter-to-qgis-filter]]></homepage>
        <file_name>cql_filter_to_qgis_filter.1.0.zip</file_name>
        <icon>/media/packages/2025/url_hgN74Fh.png</icon>
        <author_name><![CDATA[Gido Stoop]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cql_filter_to_qgis_filter/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gidostoop]]></uploaded_by>
        <create_date>2025-01-22T08:58:46.524682+00:00</create_date>
        <update_date>2025-01-22T08:58:50.218379+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GidoStoop/cql-filter-to-qgis-filter]]></tracker>
        <repository><![CDATA[https://github.com/GidoStoop/cql-filter-to-qgis-filter]]></repository>
        <tags><![CDATA[filter,server,wms,qgisserver,ecql,cql,request]]></tags>
        <downloads>2458</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>True</server>
    </pyqgis_plugin><pyqgis_plugin name="Lateral spreading" version="1.0.1" plugin_id="3697">
        <description><![CDATA[Lateral spreading for seismic microzonation]]></description>
        <about><![CDATA[Lateral spreading is a geotechnical phenomenon that occurs when the ground moves laterally under the influence of external forces, such as an earthquake. This phenomenon is also influenced by the morphological slope of the terrain. It primarily occurs in water-saturated sandy soils that, when subjected to stress, lose their cohesion and behave like a fluid; a phenomenon known as liquefaction. As a result, the ground moves laterally, creating potential risks for buildings and infrastructure.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pinogcosentino/Lateral-spreading-for-seismic-microzonation/tree/main]]></homepage>
        <file_name>ls4sm.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_rcopuRQ.png</icon>
        <author_name><![CDATA[Giuseppe Cosentino (Pino)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ls4sm/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[ls04ms]]></uploaded_by>
        <create_date>2025-01-22T13:36:00.444932+00:00</create_date>
        <update_date>2026-03-13T13:41:53.957247+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pinogcosentino/Lateral-spreading-for-seismic-microzonation/pulls]]></tracker>
        <repository><![CDATA[https://github.com/pinogcosentino/Lateral-spreading-for-seismic-microzonation]]></repository>
        <tags><![CDATA[geology,geoprocessing,seismic microzonation]]></tags>
        <downloads>1934</downloads>
        <average_vote>4.764565748066234</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TeamArea Creator" version="v0.3" plugin_id="3698">
        <description><![CDATA[Create 3 Layers for each Team, Collecting Things like garbage and trace their route. Export collectionMarks to Excel.]]></description>
        <about><![CDATA[Create 3 Layers for each Team, Collecting Things like garbage and trace their route. Export collectionMarks to Excel]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Me-xx/QGISTeamZones]]></homepage>
        <file_name>team_zones.v0.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[DaMo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/team_zones/version/v0.3/download/</download_url>
        <uploaded_by><![CDATA[mexx]]></uploaded_by>
        <create_date>2025-01-22T20:51:40.428434+00:00</create_date>
        <update_date>2025-02-02T21:45:01.464472+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Me-xx/QGISTeamZones/issues]]></tracker>
        <repository><![CDATA[https://github.com/Me-xx/QGISTeamZones/tree/main]]></repository>
        <tags><![CDATA[cloud,field,windows,qfield,fieldwork,qfieldcloud,linux,simple,collaborative]]></tags>
        <downloads>1832</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Connector for ODK" version="1.8" plugin_id="3701">
        <description><![CDATA[Connect to ODK Central, fetch submissions, and visualize field data on QGIS maps. Supports filtering, spatial analysis, and data export.]]></description>
        <about><![CDATA[The plugin connects to ODK Central, retrieves form submissions, extracts spatial data (e.g., GPS coordinates, points, or geometries), and converts them into a valid vector layer. The resulting GeoJSON can be used for mapping, analysis, or integration into GIS platforms. Additionally, it allows for splitting layers based on select attribute]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fnmutua/connector-for-ODK]]></homepage>
        <file_name>connect_odk.1.8.zip</file_name>
        <icon>/media/packages/2026/download_zk3kXLc.svg</icon>
        <author_name><![CDATA[Felix Mutua]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/connect_odk/version/1.8/download/</download_url>
        <uploaded_by><![CDATA[maluini]]></uploaded_by>
        <create_date>2025-01-24T10:56:25.038894+00:00</create_date>
        <update_date>2026-02-04T12:42:40.700511+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fnmutua/connector-for-ODK]]></tracker>
        <repository><![CDATA[https://github.com/fnmutua/ODK-Connect]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2192</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PointCloudFR" version="2.2.0" plugin_id="3704">
        <description><![CDATA[Downloads LiDAR tiles from IGN that intersect with the input AOI]]></description>
        <about><![CDATA[Downloads LiDAR point cloud data and derived products (MNT,MNS,MNH) from IGN (French National Geographic Institute) based on an Area of Interest (AOI). Perfect for automated workflows in QGIS Model Builder.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sameeeyy/PointCloudFR]]></homepage>
        <file_name>point_cloud_fr.2.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_hnfDM4V.png</icon>
        <author_name><![CDATA[Samy KHELIL]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/point_cloud_fr/version/2.2.0/download/</download_url>
        <uploaded_by><![CDATA[paradox]]></uploaded_by>
        <create_date>2025-01-27T00:46:24.573121+00:00</create_date>
        <update_date>2026-03-24T23:16:57.171575+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sameeeyy/PointCloudFR/issues]]></tracker>
        <repository><![CDATA[https://github.com/sameeeyy/PointCloudFR]]></repository>
        <tags><![CDATA[elevation,processing,download,lidar,point cloud,france,mnt,ign,nuage,mnh,mns]]></tags>
        <downloads>8600</downloads>
        <average_vote>4.874878128046799</average_vote>
        <rating_votes>40</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Reverse" version="1.1" plugin_id="3705">
        <description><![CDATA[Reverse order of highlighted layers]]></description>
        <about><![CDATA[Reverse order of highlighted layers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mercerraa.github.io/]]></homepage>
        <file_name>layer_reverse.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Andrew Mercer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer_reverse/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[mercerraa]]></uploaded_by>
        <create_date>2025-01-27T08:00:26.957908+00:00</create_date>
        <update_date>2025-07-11T10:55:34.566630+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mercerraa/layer_reverse/issues]]></tracker>
        <repository><![CDATA[https://github.com/mercerraa/layer_reverse]]></repository>
        <tags><![CDATA[layers,contents]]></tags>
        <downloads>751</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sampling Time" version="1.1.0" plugin_id="3706">
        <description><![CDATA[Performs multiple sampling methods on shapefile layers]]></description>
        <about><![CDATA[The &quot;Sampling Time&quot; plugin allows users to perform various sampling methods, including judgmental, random, systematic, stratified, and cluster sampling, on shapefile layers. It generates a shapefile with the coordinates of the sampled points, including labels and customizable symbology. Additionally, users can create sampling and exclusion zones, as well as stratified and cluster sampling areas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.4</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://giscourse.online/qgis-sampling-time-plugin]]></homepage>
        <file_name>sampling_time.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_r5ThIwg.png</icon>
        <author_name><![CDATA[Marcel A. Cedrez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sampling_time/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[marcel]]></uploaded_by>
        <create_date>2025-01-28T04:04:45.231480+00:00</create_date>
        <update_date>2025-05-20T05:48:05.073491+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MarcelGeoRGB/Sampling-Time-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MarcelGeoRGB/Sampling-Time-QGIS-Plugin]]></repository>
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        <rating_votes>2</rating_votes>
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        <server>False</server>
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        <description><![CDATA[Opens current map extent in a mapping service of your choice!]]></description>
        <about><![CDATA[Opens your current map canvas in 6 major web mapping services: Google Maps, Google Earth, Apple Maps, OSM, Bing, and Yandex.

Features:
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- Accurate zoom and coordinate transformation.
- Toggle buttons on/off via &quot;Web &gt; Open Google Maps, Google Earth + Other Web Maps &gt; Configure Maps&quot; menu to keep your interface clean.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/harrydking/qgis-open-google-maps]]></homepage>
        <file_name>open_google_maps.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_ydtfEuK.png</icon>
        <author_name><![CDATA[Harry King]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/open_google_maps/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[ea6473]]></uploaded_by>
        <create_date>2025-01-30T09:40:08.764428+00:00</create_date>
        <update_date>2026-02-02T15:29:10.690583+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/harrydking/qgis-open-google-maps]]></tracker>
        <repository><![CDATA[https://github.com/harrydking/qgis-open-google-maps]]></repository>
        <tags><![CDATA[search,osm,google,yandex,bing,google maps,google earth,open,web mapping,apple maps]]></tags>
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        <average_vote>4.736817174646449</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[The CARTO QGIS Plugin allows you to access, visualize, and edit spatial data from leading cloud data warehouses directly within QGIS. With this plugin, you can seamlessly check out data from Google BigQuery, Snowflake, Databricks, AWS Redshift, and PostgreSQL, edit it within QGIS, and commit changes back to your data warehouse—all powered by the CARTO platform.

Simply connect your cloud data warehouse to CARTO, install the QGIS plugin, and gain full control over your geospatial data in a familiar GIS environment. This enables smooth workflows for spatial data management, enrichment, and analysis while ensuring your data remains centralized and up to date in your cloud ecosystem.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://carto.com]]></homepage>
        <file_name>carto.0.92.4.zip</file_name>
        <icon>/media/packages/2025/carto_74jLd86.svg</icon>
        <author_name><![CDATA[CARTO]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/carto/version/0.92.4/download/</download_url>
        <uploaded_by><![CDATA[carto]]></uploaded_by>
        <create_date>2025-01-30T11:21:09.936819+00:00</create_date>
        <update_date>2025-08-14T13:43:50.297592+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cartodb/carto-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/cartodb/carto-qgis-plugin]]></repository>
        <tags><![CDATA[cloud,data,carto,datawarehouses]]></tags>
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        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GBIF Extractor" version="1.2.1" plugin_id="3714">
        <description><![CDATA[Based on an extent, the user can download GBIF data.]]></description>
        <about><![CDATA[This plugin allows to download GBIF data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://julesgrillot.frama.io/plugin_gbif_extractor/]]></homepage>
        <file_name>gbif_extractor.1.2.1.zip</file_name>
        <icon>/media/packages/2026/default_icon_pp4Qezk.png</icon>
        <author_name><![CDATA[Jules GRILLOT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gbif_extractor/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[jgrillot]]></uploaded_by>
        <create_date>2025-01-31T00:52:03.637201+00:00</create_date>
        <update_date>2026-01-02T17:42:42.510182+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://framagit.org/JulesGrillot/plugin_gbif_extractor/issues]]></tracker>
        <repository><![CDATA[https://framagit.org/JulesGrillot/plugin_gbif_extractor]]></repository>
        <tags><![CDATA[download,data,gbif,environnement]]></tags>
        <downloads>6239</downloads>
        <average_vote>4.249734391600525</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[QGIS plugin for discovering and accessing datasets from the GDI platform using Data Explorer, Authorization Server, and OGC Resource Server APIs.]]></description>
        <about><![CDATA[Facilitates discovery and access to datasets available on the GDI platform and allows users to search and load vector and raster datasets directly into QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.geospatial.org.in/docs/Consumer/GDI_plugin]]></homepage>
        <file_name>ugix_resources.0.3.zip</file_name>
        <icon>/media/packages/2026/gdi_plugin_logo.png</icon>
        <author_name><![CDATA[CDPG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ugix_resources/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[cdpg]]></uploaded_by>
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        <update_date>2026-04-01T10:38:28.225238+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/datakaveri/gdi-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/datakaveri/gdi-qgis-plugin]]></repository>
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        <average_vote>4.998333888703765</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[The Geospatial Enabling Environments for Employment Spatial Tool, developed by the World Bank, supports the evaluation of locations based on its supportiveness for employment and entrepreneurship. It allows for a generic analysis of foundational infrastructure and mobility aspects but also supports the inclusion of women specific considerations that can act as barriers in their economic empowerment. By analyzing spatial factors across three dimensions (Contextual/ Accessibility and Place Characterization) GeoE3 is a stepping stone to identifying the critical employment investments required in cities and regions.]]></about>
        <trusted>True</trusted>
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        <icon>/media/packages/2026/icon_Uz0hkfT.svg</icon>
        <author_name><![CDATA[Kartoza for and with The World Bank]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geest/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[timlinux]]></uploaded_by>
        <create_date>2025-02-05T23:08:52.453279+00:00</create_date>
        <update_date>2026-04-02T07:33:53.798414+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/worldbank/GEOE3/issues]]></tracker>
        <repository><![CDATA[https://github.com/worldbank/GEOE3]]></repository>
        <tags><![CDATA[]]></tags>
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        <average_vote>3.1661389768371935</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Visualize biodiversity-related netCDF data within QGIS.]]></description>
        <about><![CDATA[EBVCubeVisualizer provides an intuitive QGIS interface for exploring and visualizing biodiversity netCDF datasets (EBVCubes). It enables interactive navigation, metadata review, and flexible data selection by scenarios, metrics, entities, and time, supporting effective biodiversity data exploration.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/EmmaOceg/EBVCubeVisualizerPlugin]]></homepage>
        <file_name>ebv_cube_visualizer.release.zip</file_name>
        <icon>/media/packages/2025/EBVIcon.png</icon>
        <author_name><![CDATA[Emmanuel Oceguera-Conchas, Luise Quoss, Lina Estupinan Suarez, Miguel Fernandez, Nestor Fernandez, Henrique M. Pereira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ebv_cube_visualizer/version/release/download/</download_url>
        <uploaded_by><![CDATA[mexlpz0752]]></uploaded_by>
        <create_date>2025-02-06T14:20:49.089164+00:00</create_date>
        <update_date>2025-02-06T14:20:52.478905+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EmmaOceg/EBVCubeVisualizerPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/EmmaOceg/EBVCubeVisualizerPlugin]]></repository>
        <tags><![CDATA[biodiversity,ebvcube,data cubes,netcdf4,essential-biodiversity-data]]></tags>
        <downloads>3324</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Splits polygons into equal areas or equal parts easily]]></description>
        <about><![CDATA[Equalyzer - Split Polygons into Equal Areas or Parts. Select a polygon on the current layer, choose either of the two options (equal area/equal parts) and after processing it creates a memory layer with the expected division.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/danzig666/Equalyzer]]></homepage>
        <file_name>equalyzer.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_area_YGs7JYD.png</icon>
        <author_name><![CDATA[Abel Koszeghy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/equalyzer/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[abelke]]></uploaded_by>
        <create_date>2025-02-06T18:02:10.502601+00:00</create_date>
        <update_date>2025-02-26T16:06:06.203549+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/danzig666/Equalyzer/issues]]></tracker>
        <repository><![CDATA[https://github.com/danzig666/Equalyzer]]></repository>
        <tags><![CDATA[python,polygon,split,divide]]></tags>
        <downloads>7094</downloads>
        <average_vote>4.368191147834324</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="geol_qmaps" version="3.1.5" plugin_id="3727">
        <description><![CDATA[The geol_qmaps plugin facilitates legacy field data import, fieldwork preparation and post-fieldwork processing using the GEOL-QMAPS QGIS mapping template developed by the WAXI Team.]]></description>
        <about><![CDATA[The geol_qmaps plugin facilitates legacy field data import, fieldwork preparation and post-fieldwork processing using the GEOL-QMAPS QGIS mapping template developed by the WAXI Team.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/swaxi/WAXI_QF]]></homepage>
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        <icon>/media/packages/2026/icon_4H9hAXQ.png</icon>
        <author_name><![CDATA[Mark Jessell, Julien Perret and Eliott Betend (University of Western Australia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geol_qmaps/version/3.1.5/download/</download_url>
        <uploaded_by><![CDATA[markjessell]]></uploaded_by>
        <create_date>2025-02-08T03:37:58.964259+00:00</create_date>
        <update_date>2026-01-05T04:16:18.382217+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/swaxi/WAXI_QF/issues]]></tracker>
        <repository><![CDATA[https://github.com/swaxi/WAXI_QF]]></repository>
        <tags><![CDATA[qfield,fieldwork preparation,west africa exploration initiative,legacy field data import,post-field processing,digital geological mapping]]></tags>
        <downloads>3748</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Supports Tomofast-x geophysical inversion code]]></description>
        <about><![CDATA[Helps make input files for Tomofast-x]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.24.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TOMOFAST/]]></homepage>
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        <icon>/media/packages/2026/icon_EPrDtjM.png</icon>
        <author_name><![CDATA[mark jessell, vitaliy ogarko]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tomofast_x_q/version/0.2.13/download/</download_url>
        <uploaded_by><![CDATA[markjessell]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TOMOFAST/tomofast-x-q]]></tracker>
        <repository><![CDATA[https://github.com/TOMOFAST/tomofast-x-q]]></repository>
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        <server>False</server>
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        <description><![CDATA[Tools for Georeferencing Rural Properties]]></description>
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        <trusted>False</trusted>
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        <author_name><![CDATA[Maik Rodrigues, Valdir Moura e Ranieli dos Anjos.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoRondonia/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[georondonia]]></uploaded_by>
        <create_date>2025-02-10T18:31:15.939415+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoRondonia/GeoRondonia/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoRondonia/GeoRondonia]]></repository>
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        <server>False</server>
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        <icon>/media/packages/2025/icon_3WPZphX.png</icon>
        <author_name><![CDATA[Eduard Kazakov]]></author_name>
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        <repository><![CDATA[https://github.com/eduard-kazakov/add_legend_labels_to_layer_attributes]]></repository>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <deprecated>False</deprecated>
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        <repository><![CDATA[https://framagit.org/JulesGrillot/plugin_inaturalist_extractor/]]></repository>
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        <icon>/media/packages/2025/icon_qyvhvIA.png</icon>
        <author_name><![CDATA[Tiago José M Silva]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MeasureCalculator/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[moraessilva]]></uploaded_by>
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        <rating_votes>95</rating_votes>
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        <server>False</server>
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        <description><![CDATA[Connecting your QGIS-Project with EconoMe.]]></description>
        <about><![CDATA[Load information from QGIS into your EconoMe project and vice versa. Download the calculated damage and risk results from EconoMe to visualize them in your QGIS project.&lt;br&gt;&lt;br&gt;USER MANUAL: https://econome.ch/econome_doc/wiki/manual_plugin_E.pdf&lt;br&gt;&lt;br&gt;IMPORTANT: You need to have an EconoMe User Account in order to use the plugin!&lt;br&gt;&lt;br&gt;© 2025 Federal Office for the Environment FOEN, Switzerland]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://econome.ch/eco_work/]]></homepage>
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        <icon>/media/packages/2026/icon_9F2GdSi.png</icon>
        <author_name><![CDATA[Kevin Helzel, Tobia Lezuo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/econome/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[economedevteam]]></uploaded_by>
        <create_date>2025-02-18T13:42:05.322731+00:00</create_date>
        <update_date>2026-03-16T09:56:25.422266+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlabext.wsl.ch/econome-dev-team/econome/-/issues]]></tracker>
        <repository><![CDATA[https://gitlabext.wsl.ch/econome-dev-team/econome]]></repository>
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        <downloads>2086</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[QGIS plugin for downloading cadastral data of cadastrals parcels and cadastral zoning in Italy.]]></description>
        <about><![CDATA[QGIS plugin for downloading cadastral data for municipalities in Italy.The download provides a .zip file updated every six months and has the following structure: CadastralParcel.gml and CadastralZoning.gml.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geoinnova/italy_inspire_cadastre_downloader]]></homepage>
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        <icon>/media/packages/2025/icon_8OR3uHQ.png</icon>
        <author_name><![CDATA[Geoinnova SL]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/italy_inspire_cadastre_downloader/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[geoinnova]]></uploaded_by>
        <create_date>2025-02-18T16:27:37.427544+00:00</create_date>
        <update_date>2025-12-22T06:28:23.983466+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoinnova/italy_inspire_cadastre_downloader]]></tracker>
        <repository><![CDATA[https://github.com/geoinnova/italy_inspire_cadastre_downloader]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>6475</downloads>
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        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[A QGIS plugin that enables you to compare maps smoothly.]]></description>
        <about><![CDATA[Select layers and visualize comparison in mirror, split and lens mode.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MIERUNE/qgis-plugin-qmapcompare]]></homepage>
        <file_name>qmapcompare.1.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_q8rhm3b.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qmapcompare/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
        <create_date>2025-02-19T03:16:52.249260+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/qgis-plugin-qmapcompare/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/qgis-plugin-qmapcompare]]></repository>
        <tags><![CDATA[python,compare]]></tags>
        <downloads>6009</downloads>
        <average_vote>4.952145135945907</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
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        <icon>/media/packages/2025/icon_La8JoM1.png</icon>
        <author_name><![CDATA[Leonie Leroux &amp; Jacques Beilin - ENSG-Geomatique]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/IdentifProj/version/0.5.1/download/</download_url>
        <uploaded_by><![CDATA[jbeilin]]></uploaded_by>
        <create_date>2025-02-19T17:19:14.700480+00:00</create_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/leo.lrx/IdentifProj/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/leo.lrx/IdentifProj]]></repository>
        <tags><![CDATA[crs,coordinates,projection,utm,latitude,longitude,geodesy,lcc,easting,mercator,northing,merc]]></tags>
        <downloads>2987</downloads>
        <average_vote>4.933004466368909</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Plugin to generate high resolution 2D Manning&#x27;s roughness coefficients raster from land cover data.]]></description>
        <about><![CDATA[This plugin processes land cover dataset to generate 2D Manning’s roughness coefficients for hydrologic and hydraulic modeling.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_1vQPfV6.png</icon>
        <author_name><![CDATA[Abdullah Azzam]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mannings_roughness_generator/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[mabdazzam]]></uploaded_by>
        <create_date>2025-02-22T01:25:45.262882+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mabdazzam/mannings_roughness_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/mabdazzam/mannings_roughness_generator]]></repository>
        <tags><![CDATA[hydrology,hydraulics,hec-ras,roughness,esa,worldcover,manning&#x27;s n,flood inundation mapping]]></tags>
        <downloads>1569</downloads>
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        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Create layer with extents(minx,miny, maxx, maxy) and extents geometry.]]></description>
        <about><![CDATA[Creates minimum bounding geometries (box, oriented rectangle, circle, convex hull) with optional grouping. You will be able to create a Bounding Box Geometry for each polygon from polygons layer, create new layer with bounding boxes as thier geometries. You will also get minx, miny, maxx, maxy, and extent column conveniently.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/shakurgds/bounding-box-qgis-plugin]]></homepage>
        <file_name>MinimumBoundingBox.1.2.zip</file_name>
        <icon>/media/packages/2026/Icon.png</icon>
        <author_name><![CDATA[Abdishakur]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MinimumBoundingBox/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[shakursom]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/shakurgds/bounding-box-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/shakurgds/bounding-box-qgis-plugin]]></repository>
        <tags><![CDATA[python,bounding box,polygon,circle,extent,convex hull,maxx,oriented rectangle,minx,miny,maxy.]]></tags>
        <downloads>1034</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Buscador de SIG Cáceres]]></description>
        <about><![CDATA[Buscador SIG de Cáceres. Permite realizar búsquedas por:
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        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_E3m1XPY.png</icon>
        <author_name><![CDATA[SIG de Cáceres]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/buscador_sig_caceres/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[sigcaceres]]></uploaded_by>
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        <repository><![CDATA[https://github.com/sigCaceres/buscador_sig_caceres]]></repository>
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        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[Gestión del SIG de Cáceres. Menú de carga de capas WMS]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_f8ryhdB.png</icon>
        <author_name><![CDATA[SIG de Cáceres]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wms_sig_caceres/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[sigcaceres]]></uploaded_by>
        <create_date>2025-02-25T15:07:22.649875+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sigCaceres/wms_sig_caceres]]></tracker>
        <repository><![CDATA[https://github.com/sigCaceres/wms_sig_caceres]]></repository>
        <tags><![CDATA[sig gis cáceres wms capas]]></tags>
        <downloads>483</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Select a one or multiple fields in a vector file filter columns and create a widget.]]></description>
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        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon.PNG</icon>
        <author_name><![CDATA[adrian]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VectorSelector3/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[adriansp96]]></uploaded_by>
        <create_date>2025-02-26T11:26:24.548685+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/adrianredeop/VectorSelector/blob/main/issues]]></tracker>
        <repository><![CDATA[https://github.com/adrianredeop/VectorSelector]]></repository>
        <tags><![CDATA[vector,plugin,qgis,example,selected]]></tags>
        <downloads>2329</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[The QGIS pip Manager is an essential utility providing a complete graphical interface for Python package management within QGIS. It allows users to install, uninstall, upgrade, and downgrade specific versions of Python libraries without the command line. Featuring asynchronous operations to keep QGIS responsive, automatic path detection, and robust error handling, the plugin offers a hassle-free way for users of all levels to extend QGIS functionality.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MohamedShamroukh/QGIS-pip-manager]]></homepage>
        <file_name>pip_manager.0.0.4.zip</file_name>
        <icon>/media/packages/2025/icon_1imNH3e.png</icon>
        <author_name><![CDATA[Mohamed Shamroukh, Asya Natapov and Taimaz Larimian]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pip_manager/version/0.0.4/download/</download_url>
        <uploaded_by><![CDATA[mo500]]></uploaded_by>
        <create_date>2025-02-28T16:28:39.816307+00:00</create_date>
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        <deprecated>False</deprecated>
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        <rating_votes>172</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Social Tenure Domain Model" version="1.8.5" plugin_id="3768">
        <description><![CDATA[A pro-poor land information tool that offers a complimentary land administration system that is pro-poor, gender-sensitive, affordable and sustainable for the promotion of secure land and property rights for all.]]></description>
        <about><![CDATA[A pro-poor land information tool.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/stdm_sO7Z6AZ.png</icon>
        <author_name><![CDATA[Global Land Tool Network]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/stdm/version/1.8.5/download/</download_url>
        <uploaded_by><![CDATA[pgathogo]]></uploaded_by>
        <create_date>2025-03-01T08:04:20.330240+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/gltn/stdm]]></repository>
        <tags><![CDATA[cadastre,land administration,tenure security,fit for purpose land administration,stdm,gltn,continuum of land rights]]></tags>
        <downloads>1302</downloads>
        <average_vote>4.9950049950049955</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[The LayoutSelector plugin adds an icon to the QGIS toolbar. When clicked, it opens a file dialog that allows users to select a QPT layout template. The selected layout is then loaded into QGIS, and the current map extent is applied automatically. This plugin enhances map printing and layout management in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/adrianredeop/LayoutSelector]]></homepage>
        <file_name>LayoutSelector.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[adrian]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LayoutSelector/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[adriansp96]]></uploaded_by>
        <create_date>2025-03-01T17:56:21.644505+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/adrianredeop/LayoutSelector]]></repository>
        <tags><![CDATA[print,plugin,qgis,layout,qpt]]></tags>
        <downloads>1658</downloads>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="grd2stream" version="1.1" plugin_id="3778">
        <description><![CDATA[streamline generation from gridded data]]></description>
        <about><![CDATA[This plugin allows the seamless generation of multiple flowlines (by selecting seed points) from rasters – using Runge-Kutta integration methods. Powered by GMT6, it ensures compatibility with all GDAL file formats!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://scienceflightplanner.github.io/grd2stream]]></homepage>
        <file_name>grd2stream.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_NDB0wlt.png</icon>
        <author_name><![CDATA[Thomas Kleiner, Abraham Wondimu, Anna Menshikova, Maxim Poliakov, Simon Povh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/grd2stream/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[sfp2023]]></uploaded_by>
        <create_date>2025-03-06T14:14:48.382496+00:00</create_date>
        <update_date>2025-03-12T23:16:57.402832+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ScienceFlightPlanner/grd2stream/issues]]></tracker>
        <repository><![CDATA[https://github.com/ScienceFlightPlanner/grd2stream]]></repository>
        <tags><![CDATA[grid,velocity field,flowline]]></tags>
        <downloads>1563</downloads>
        <average_vote>4.999666688887408</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Pan Europeo Processing" version="v1.0.0" plugin_id="3779">
        <description><![CDATA[gdal calc wrapper for multi utility attribute functions raster calculator]]></description>
        <about><![CDATA[GDAL calc processing plugin wrapper including raster normalization and weighted summation, for unlimited sized rasters. This plugin is the backend for the PanEuropeo project by fire2a(.com)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.2</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://fire2a.github.io/qgis-pan-europeo]]></homepage>
        <file_name>panettone.v1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_QQg8L6a.png</icon>
        <author_name><![CDATA[Fernando Badilla Veliz - Fire2a.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/panettone/version/v1.0.0/download/</download_url>
        <uploaded_by><![CDATA[fdobad]]></uploaded_by>
        <create_date>2025-03-07T02:04:09.266721+00:00</create_date>
        <update_date>2025-06-09T15:13:20.630530+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fire2a/qgis-pan-europeo/issues]]></tracker>
        <repository><![CDATA[https://github.com/fire2a/qgis-pan-europeo]]></repository>
        <tags><![CDATA[python,raster summary,multiattribute utility functions,ponderation]]></tags>
        <downloads>1909</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Automatically saves the QGIS project and editable layers at a user-defined interval.]]></description>
        <about><![CDATA[The Auto Save plugin optimizes your QGIS workflow by periodically saving your project and editing layers. It waits until geometry editing is finalized, and you can enable or disable confirmation prompts before saving.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/joaobrafor/Auto_save]]></homepage>
        <file_name>Auto_save.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_nv2wTpM.png</icon>
        <author_name><![CDATA[João Ubaldo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Auto_save/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[ubajoao]]></uploaded_by>
        <create_date>2025-03-07T12:42:20.077172+00:00</create_date>
        <update_date>2025-03-07T12:42:22.881933+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/joaobrafor/Auto_save/issues]]></tracker>
        <repository><![CDATA[https://github.com/joaobrafor/Auto_save]]></repository>
        <tags><![CDATA[editing,project,layer,autosave]]></tags>
        <downloads>18276</downloads>
        <average_vote>4.8609760839976675</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PackageInstallerQgis" version="0.4.4" plugin_id="3782">
        <description><![CDATA[package installer for QGIS plugins]]></description>
        <about><![CDATA[PIQ is a thin layer around PIP to manage QGIS plugins dependencies]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/brgm/qgis/package-installer-qgis]]></homepage>
        <file_name>PackageInstallerQgis.0.4.4.zip</file_name>
        <icon>/media/packages/2026/icon_kfEkLne.svg</icon>
        <author_name><![CDATA[BRGM]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PackageInstallerQgis/version/0.4.4/download/</download_url>
        <uploaded_by><![CDATA[t4mmi]]></uploaded_by>
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        <update_date>2026-03-26T17:41:23.916787+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/brgm/qgis/package-installer-qgis/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/brgm/qgis/package-installer-qgis]]></repository>
        <tags><![CDATA[python,plugin,pip,dependencies,brgm,piq]]></tags>
        <downloads>4521</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geom From Attribute" version="1.0" plugin_id="3784">
        <description><![CDATA[This plugin allows users to create geometry using attributes from table.]]></description>
        <about><![CDATA[This plugin allows users to create layer (with geometry) using attributes from tables(CSV, excel, parquet etc.). It creates GPKG, SHP, KML, GML or GEOJSON file from QGIS compatible table based layers. There are two options to create geometry. First one is using columns, that contain X(longitude) and Y(latitude) values of Points. This method can be used only for Points. Other option is using single column, that contains Well Known Text(WKT) values of geometry. This method is used for Points, MultiPoints, Lines, MultiLines, Polygons and MultiPolygons. If input table contains WKT values for multiple geometry types (such as Polygon, Point, Line etc.) each type is saved seperately. Sample data and processing steps are available in https://github.com/caliskanmurat/qgis_geom_from_attribute_plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_geom_from_attribute_plugin]]></homepage>
        <file_name>geom_from_attribute.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_Zabk7XC.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geom_from_attribute/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2025-03-10T09:09:43.963379+00:00</create_date>
        <update_date>2025-03-10T09:09:46.019090+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_geom_from_attribute_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_geom_from_attribute_plugin/tree/main/geom_from_attribute]]></repository>
        <tags><![CDATA[python,attribute,excel,geometry,csv,parquet]]></tags>
        <downloads>1939</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NeighborHighlighter" version="1.0" plugin_id="3785">
        <description><![CDATA[优化邻区可视化工具，点击空白处自动恢复颜色]]></description>
        <about><![CDATA[用于无线网络优化邻区分析]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Banana-LX/NeighborHighlighter/blob/master/metadata.txt]]></homepage>
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        <icon>/media/packages/2025/icon_0F59PWv.png</icon>
        <author_name><![CDATA[香蕉翔]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NeighborHighlighter/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[247833228]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Banana-LX/NeighborHighlighter/issues]]></tracker>
        <repository><![CDATA[https://github.com/Banana-LX/NeighborHighlighter]]></repository>
        <tags><![CDATA[network,optimization,telecom]]></tags>
        <downloads>1015</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Plugin for accessing data from the TEMPO-Online statistical database of the National Institute of Statistics of Romania]]></description>
        <about><![CDATA[QTempo is a QGIS Python plugin that provides an intuitive GUI for querying the TEMPO-Online database and seamlessly adding datasets as separate layers in the software. TEMPO-Online is a statistical database provided by the National Institute of Statistics, offering a wide range of socio-economic indicators. In addition to its online platform, available on the National Institute of Statistics website, the datasets can also be accessed via the TEMPO-Online REST API. This API provides endpoints for both GET requests (retrieving statistical domains, metadata, etc.) and POST requests (querying datasets), with responses formatted in JSON.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alecsandrei/QTempo]]></homepage>
        <file_name>qtempo.1.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_rAOBEPj.ico</icon>
        <author_name><![CDATA[Cuvuliuc Alex-Andrei]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qtempo/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[alecsandrei]]></uploaded_by>
        <create_date>2025-03-11T10:13:16.091838+00:00</create_date>
        <update_date>2025-10-07T10:11:26.452110+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alecsandrei/QTempo/issues]]></tracker>
        <repository><![CDATA[https://github.com/alecsandrei/QTempo]]></repository>
        <tags><![CDATA[download,rest api,romania,tempo online]]></tags>
        <downloads>866</downloads>
        <average_vote>4.49925012497917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Execute LLM-generated code for QGIS processing. This plugin provides a simple interface to send prompts to various LLM providers (Ollama, OpenAI, OpenRouter, Anthropic, and custom endpoints) and execute the generated Python code in QGIS. It supports all major platforms (Windows, Linux, macOS) and includes features for database schema integration and layer metadata reference. Requirements: QGIS 3.0 or later, Python 3.x, Python &#x27;requests&#x27; library (required for API communication). Installation Instructions: For Windows users - Install requests library using pip in QGIS Python environment (Open OSGeo4W Shell and run: pip install requests). For Linux/macOS users - Install using pip or system package manager.]]></description>
        <about><![CDATA[This plugin provides an interface to send prompts to various LLM providers (Ollama, OpenAI, OpenRouter, Anthropic, and custom endpoints) and execute the generated Python code in QGIS. Features include: Support for multiple LLM providers, Database schema integration for SQL queries, Layer metadata reference for QGIS operations, Code execution with error handling and fixing, Cross-platform compatibility.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hamarshehmhmd/promptly]]></homepage>
        <file_name>promptly.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_qUJvmfv.png</icon>
        <author_name><![CDATA[Mohammad Hamarsheh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/promptly/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[ham262]]></uploaded_by>
        <create_date>2025-03-13T16:30:02.946243+00:00</create_date>
        <update_date>2025-03-20T13:03:51.307026+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hamarshehmhmd/promptly/issues]]></tracker>
        <repository><![CDATA[https://github.com/hamarshehmhmd/promptly]]></repository>
        <tags><![CDATA[python,ai,openai,llm,code generation,openrouter,anthropic,ollama]]></tags>
        <downloads>3004</downloads>
        <average_vote>3.9563497239250465</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[A plugin to track every change of vector data]]></description>
        <about><![CDATA[This plugin helps track changes in vector layer data, including:
- Feature modifications
- Geometry updates
- Attribute changes
It ensures data integrity by logging changes efficiently within QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis-track-changes.readthedocs.io/en/latest/]]></homepage>
        <file_name>track_changes.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_45BMROO.png</icon>
        <author_name><![CDATA[Ahmad Zaenun Faiz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/track_changes/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[ahmadzfaiz]]></uploaded_by>
        <create_date>2025-03-16T15:06:49.498282+00:00</create_date>
        <update_date>2025-04-16T08:59:13.303313+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ahmadzfaiz/qgis-track-changes/issues]]></tracker>
        <repository><![CDATA[https://github.com/ahmadzfaiz/qgis-track-changes]]></repository>
        <tags><![CDATA[vector,versioning,changes,tracking]]></tags>
        <downloads>2043</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Wtyczka zapewniająca łatwy dostęp do danych przestrzennych m.st. Warszawy.]]></description>
        <about><![CDATA[Wtyczka łączy w sobie kilka źródeł danych przestrzennych udostępnianych przez m.st. Warszawę.
Zawiera następujące moduły:
- zbiór WMS-ów z ortofotomapami, zdjęciami ukośnymi i mapami archiwalnymi
- pobieracz danych wektorowych
- pobieracz działek ewidencyjnych i budynków
oraz odnośnik do serwisu mapowego miasta.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marylaGIS/warszawa_gis]]></homepage>
        <file_name>warszawa_gis.0.1.0.zip</file_name>
        <icon>/media/packages/2025/waw.svg</icon>
        <author_name><![CDATA[Maryla Jeż]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/warszawa_gis/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[marylagis]]></uploaded_by>
        <create_date>2025-03-16T20:05:58.477635+00:00</create_date>
        <update_date>2025-03-16T20:06:01.189787+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marylaGIS/warszawa_gis/issues]]></tracker>
        <repository><![CDATA[https://github.com/marylaGIS/warszawa_gis]]></repository>
        <tags><![CDATA[ortofotomapa,egib,warszawa]]></tags>
        <downloads>1441</downloads>
        <average_vote>4.874390701162355</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Registers a locator filter that searches for layer groups by name (case insensitive) and jumps to the group in the layer legend.]]></description>
        <about><![CDATA[The Layer Group Locator Plugin is a QGIS plugin that enhances your workflow by allowing you to quickly search for layer groups within your current project. By using a simple prefix (grp), this plugin integrates with the QGIS locator system to find and highlight any layer group whose name matches your query, making project navigation fast and efficient.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/danzig666/LayerGroupLocator]]></homepage>
        <file_name>layergrouplocator.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_CwRQfKO.png</icon>
        <author_name><![CDATA[Abel Koszeghy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layergrouplocator/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[abelke]]></uploaded_by>
        <create_date>2025-03-17T13:51:01.468166+00:00</create_date>
        <update_date>2025-03-17T13:51:03.744440+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/danzig666/LayerGroupLocator/issues]]></tracker>
        <repository><![CDATA[https://github.com/danzig666/LayerGroupLocator]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>823</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[QGIS Plugin to change all GPKG datasources inside a GPKG project]]></description>
        <about><![CDATA[QGIS Plugin to automatically repair GPKG projects]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cxcandid/changeGpkgPath]]></homepage>
        <file_name>changeGpkgPath.1.0.1.zip</file_name>
        <icon>/media/packages/2025/gpkg_repair_ajRpsnJ.jpg</icon>
        <author_name><![CDATA[Christoph Candido]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/changeGpkgPath/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[cxcandid]]></uploaded_by>
        <create_date>2025-03-17T15:03:05.417632+00:00</create_date>
        <update_date>2025-03-20T09:08:55.649784+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cxcandid/changeGpkgPath/issues]]></tracker>
        <repository><![CDATA[https://github.com/cxcandid/changeGpkgPath]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1518</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SplashTool Result Loader" version="0.1.2" plugin_id="3795">
        <description><![CDATA[Load and symbolize results from a SplashTool output directory]]></description>
        <about><![CDATA[SplashTool creates flow accumulation paths and water depths in sinks during heavy rainfall. This plugin identifies the latest iteration results from a SplashTool output directory and loads the symbolized results in the current project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.splashtool.de/]]></homepage>
        <file_name>splashtool_result_loader.0.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_DuysYoN.png</icon>
        <author_name><![CDATA[Tim Schneider]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/splashtool_result_loader/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[schneidertim]]></uploaded_by>
        <create_date>2025-03-18T18:53:08.268248+00:00</create_date>
        <update_date>2026-03-18T05:23:57.148248+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/schneidertim/splashtool_result_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/schneidertim/splashtool_result_loader]]></repository>
        <tags><![CDATA[flow path analysis,fließweganalyse,urban flooding,splashtool,fliessweganalyse,flowpath]]></tags>
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        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Matti" version="1.0" plugin_id="3796">
        <description><![CDATA[A plugin to estimate soybean maturity]]></description>
        <about><![CDATA[Matti provides an intuitive method for providing same day estimates of soybean maturity in breeding programs. Matti tracks the average green leaf index (GLI) of each plot during the senescence period. Regression models are used to monitor the senescence curve and provide maturity estimates when GLI values are near or below a user-specified threshold. Maturity estimates are added directly to the attribute table associated with the experiment/field shapefile. A summary graph will be displayed indicating the proportion of plots in each experiment rated as mature. This feature helps breeders better plan for note taking and harvest logistics.

**Important** 
Matti requires the installation of the piecewise-regression package. See GitHub page  for details.

Icon created with BioRender]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nburner96/matti]]></homepage>
        <file_name>matti.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_5quvQlA.png</icon>
        <author_name><![CDATA[Nathaniel Burner]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/matti/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[nburner]]></uploaded_by>
        <create_date>2025-03-18T19:57:58.011666+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nburner96/matti/issues]]></tracker>
        <repository><![CDATA[https://github.com/nburner96/matti]]></repository>
        <tags><![CDATA[python,maturity,soybean]]></tags>
        <downloads>504</downloads>
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        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[GSM Cover Builder allows you to quickly generate coverage plans based on localities and a defined coverage radius]]></description>
        <about><![CDATA[The GSM Cover Builder plugin for QGIS is designed to help geomarketing professionals optimize GSM network coverage in specific areas. Using this tool, you can analyze and visualize proximity relationships between localities and determine the minimum number of GSM sites necessary to effectively cover a set of areas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/krisfadil/GSM-cover-builder]]></homepage>
        <file_name>gsm_cover_builder.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_s5U2Mw1.png</icon>
        <author_name><![CDATA[Fadil Kristof GNANKAMBARY]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gsm_cover_builder/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[krisfadil]]></uploaded_by>
        <create_date>2025-03-20T13:13:00.302441+00:00</create_date>
        <update_date>2025-03-20T13:13:01.958527+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/krisfadil/GSM-cover-builder]]></tracker>
        <repository><![CDATA[https://github.com/krisfadil/GSM-cover-builder]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1153</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[A powerful QGIS plugin for generating vector line layers from azimuths or quadrant bearings and distances, starting from a user-defined point.]]></description>
        <about><![CDATA[AzimuthTool simplifies the creation of line geometries in QGIS by allowing users to input an initial coordinate, followed by angles (azimuths like &quot;90-30-15.50&quot; or bearings like &quot;45-15-30-NE&quot;) and distances (e.g., &quot;100.25&quot;). It supports flexible workflows with features like snapping to existing layers, importing/exporting data via text files, and outputting results as shapefiles, geopackages, or temporary layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/joaobrafor/AzimuthTool]]></homepage>
        <file_name>AzimuthTool.1.3.zip</file_name>
        <icon>/media/packages/2025/icon_LPuOZ3p.png</icon>
        <author_name><![CDATA[João Ubaldo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AzimuthTool/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[ubajoao]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/joaobrafor/AzimuthTool/issues]]></tracker>
        <repository><![CDATA[https://github.com/joaobrafor/AzimuthTool]]></repository>
        <tags><![CDATA[vector,distance,line,geometry,coordinate,azimuth,bearing,mapping,cartography,surveying,cogo]]></tags>
        <downloads>9619</downloads>
        <average_vote>4.9997058996529615</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FUN REPROJECTOR" version="0.0.2" plugin_id="3800">
        <description><![CDATA[Reproject vector layers by selecting anthropomorphized characters as coordinate systems. Enjoy transforming your layers with a fun and intuitive graphical interface!]]></description>
        <about><![CDATA[This plugin allows users to reproject vector layers by selecting anthropomorphized mascots representing coordinate reference systems. It provides a fun and intuitive graphical interface to make coordinate transformations an enjoyable experience.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/jtagusari/fun-reprojector]]></homepage>
        <file_name>fun_reprojector.0.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_FTCyVlq.png</icon>
        <author_name><![CDATA[Junta Taguasri]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fun_reprojector/version/0.0.2/download/</download_url>
        <uploaded_by><![CDATA[jtagusari]]></uploaded_by>
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        <update_date>2025-04-02T04:44:03.793707+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
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        <repository><![CDATA[https://gitlab.com/jtagusari/fun-reprojector]]></repository>
        <tags><![CDATA[python]]></tags>
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        <server>False</server>
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        <description><![CDATA[Plot allocation for forest inventory]]></description>
        <about><![CDATA[In this module, you will be able to plan forest inventories by allocating plots. Requires the installation of the scikit-learn library using the command &#x27;pip install scikit-learn==1.5.1&#x27; in the &#x27;OSGeo4W Shell&#x27;. The code will attempt to do this automatically. If it does not work, consider installing scikit-learn manually.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
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        <homepage><![CDATA[https://richterv.github.io/fptoolsdoc/plot_alocation_qgis/]]></homepage>
        <file_name>PlotAllocation.0.71.zip</file_name>
        <icon>/media/packages/2025/icon_OIUZfcB.png</icon>
        <author_name><![CDATA[Vinicius Richter]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PlotAllocation/version/0.71/download/</download_url>
        <uploaded_by><![CDATA[richterv]]></uploaded_by>
        <create_date>2025-03-24T19:16:35.859446+00:00</create_date>
        <update_date>2025-06-05T11:52:17.197618+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://forms.gle/vGTvwew1SoB11jxY6]]></tracker>
        <repository><![CDATA[https://github.com/RichterV/ForestPyTools-QGIS-module]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>847</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ČHMÚ/CHMI – Meteorological Data Processing" version="1.0" plugin_id="3805">
        <description><![CDATA[Weather measurements and spatial interpolation.]]></description>
        <about><![CDATA[This tool processes weather measurements from the Czech Hydrometeorological Institute using spatial interpolation methods. For proper functionality, it requires specially formatted files, which can be downloaded via the link in the plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mkik12/CHMU-weatherDataProcessing/blob/main/README.md]]></homepage>
        <file_name>CHMU_weatherDataProcessing.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_hYGLN0c.png</icon>
        <author_name><![CDATA[Mikuláš Kadečka]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CHMU_weatherDataProcessing/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mkik12]]></uploaded_by>
        <create_date>2025-03-28T18:15:33.018694+00:00</create_date>
        <update_date>2025-03-28T18:15:35.786905+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mkik12/CHMU-weatherDataProcessing/issues]]></tracker>
        <repository><![CDATA[https://github.com/mkik12/CHMU-weatherDataProcessing]]></repository>
        <tags><![CDATA[python,čhmú,automatizace,prostorová data]]></tags>
        <downloads>861</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Plugin Direct HID support for 3DConnexion SpaceMouse in QGIS 3D views]]></description>
        <about><![CDATA[This plugin enables direct HID communication with 3DConnexion SpaceMouse devices
for navigating QGIS 3D views. No additional drivers required.
Features include:
* Direct HID device communication
* 6 degrees of freedom navigation
* Customizable sensitivity settings
* Kalman filtering for smooth movement
* Multiple 3D view support]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pYpA62/SpaceMouse3Dconnexion-Plugin-QGIS]]></homepage>
        <file_name>SpaceMouse3Dconnexion.1.0.0.zip</file_name>
        <icon>/media/packages/2025/SpaceMouse_icon.png</icon>
        <author_name><![CDATA[pYpA62]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SpaceMouse3Dconnexion/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[pypa62]]></uploaded_by>
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        <update_date>2025-03-29T09:05:30.432537+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pYpA62/SpaceMouse3Dconnexion-Plugin-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/pYpA62/SpaceMouse3Dconnexion-Plugin-QGIS]]></repository>
        <tags><![CDATA[python,3d,plugin,qgis,navigation,3d mouse,3dconnexion,6dof,spacemouse]]></tags>
        <downloads>1020</downloads>
        <average_vote>2.499375156210947</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Space trace" version="1.9" plugin_id="3807">
        <description><![CDATA[Draws a spacecraft&#x27;s ground trace over the Earth&#x27;s surface.]]></description>
        <about><![CDATA[Draws the flight path of a spacecraft over the Earth&#x27;s surface, creating point and (optionally) line layers. It can fetch TLE (Two-Line Element) or OMM (Orbit Mean-Elements Message) data from the SpaceTrack API or use local files. It provides an advanced search feature using the SpaceTrack API, which allows you to get satellite data by using a custom query.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>SpaceTrace.1.9.zip</file_name>
        <icon>/media/packages/2025/icon_7iQfRpD.png</icon>
        <author_name><![CDATA[Yuriy Malyshev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SpaceTrace/version/1.9/download/</download_url>
        <uploaded_by><![CDATA[yuaren]]></uploaded_by>
        <create_date>2025-03-29T17:03:16.543287+00:00</create_date>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[MapHub.co is a community hub for GIS users to host, visualize, and share geospatial datasets. This plugin enables seamless integration between QGIS and MapHub.co, allowing users to upload maps to MapHub.co projects, share them publicly or privately, and browse projects and download maps directly within QGIS.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_ZZKwFO9.png</icon>
        <author_name><![CDATA[MapHub]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/maphub/version/0.11.1/download/</download_url>
        <uploaded_by><![CDATA[maphub]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/maphub-co/maphub-qgis]]></tracker>
        <repository><![CDATA[https://github.com/maphub-co/maphub-qgis]]></repository>
        <tags><![CDATA[python]]></tags>
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        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Subsea Cable Tools" version="1.3.0" plugin_id="3814">
        <description><![CDATA[Tools to support working with subsea cable data in QGIS.]]></description>
        <about><![CDATA[Subsea Cable Tools is a QGIS Processing Plugin developed to support working with subsea cable data in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_eP2Togi.png</icon>
        <author_name><![CDATA[Kieran McMonagle]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/subsea_cable_tools/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[kmcmonagle]]></uploaded_by>
        <create_date>2025-04-05T09:46:04.948554+00:00</create_date>
        <update_date>2025-09-06T19:55:42.666669+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/k-mcmonagle/subsea-cable-tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/k-mcmonagle/subsea-cable-tools]]></repository>
        <tags><![CDATA[lrs,gis,mapping,qgis,bathymetry,kp,engineering,offshore,telecoms,cable,subsea]]></tags>
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        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[&lt;b&gt;Catasto IT GML Merger Pro&lt;/b&gt; è un plugin avanzato per QGIS che consente di scaricare, estrarre e unire file GML del catasto italiano (fonte RNDT/AdE). Permette di selezionare regione, province e singoli comuni tramite widget di selezione interattivo. Converte i dati in GPKG aggiungendo i campi foglio, particella, sezione censuaria e nome del comune. Applica automaticamente uno stile predefinito al layer PLE con regole per particelle, strade e acque. Lavora in background senza bloccare QGIS.&lt;br&gt;&lt;br&gt;EN: Advanced QGIS plugin to download, extract and merge Italian cadastral GML files (RNDT/AdE). Supports region, province and municipality filtering via an interactive transfer widget. Outputs GPKG with calculated fields (sheet, parcel, census section and municipality name). Automatically applies a rule-based style to the PLE layer (parcels, roads, water). Runs in background.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pigreco/CatastoIT_GML_Merger_Pro]]></homepage>
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        <icon>/media/packages/2026/icon_LFxIVwf.png</icon>
        <author_name><![CDATA[Salvatore Fiandaca, Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CatastoIT_GML_Merger_Pro/version/0.9.2/download/</download_url>
        <uploaded_by><![CDATA[toto71]]></uploaded_by>
        <create_date>2025-04-06T14:10:34.521436+00:00</create_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pigreco/CatastoIT_GML_Merger_Pro/issues]]></tracker>
        <repository><![CDATA[https://github.com/pigreco/CatastoIT_GML_Merger_Pro]]></repository>
        <tags><![CDATA[catasto,gml,gpkg,italia,particelle,fogli,regione,comune,ade,provincia]]></tags>
        <downloads>3020</downloads>
        <average_vote>4.817962819871823</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[QLearn is a plugin that allows you to train a UNet segmentation neural network architecture to segment and classify raster data. It can also use pretrained models to make predictions on raster data

Required Dependencies: torch and torchvision
Install with OSGeo4W Shell (pip3 install torch torchvision)

QGIS Integration: Train and use machine learning models without leaving QGIS
Automatic Data Preprocessing: Automatic alignment, rescaling, reclassifying, and normalization of rasters
Testing and Validation: Automatically splits datasets into training and evaluation sets and provides model evaluation metrics
Confidence Filtering: Optional filtering of predictions based on confidence levels
Multiband Support: Works with any number of input bands and output classes]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qlearn.readthedocs.io/en/latest/index.html]]></homepage>
        <file_name>QLearn_1.1.0.zip</file_name>
        <icon>/media/packages/2025/logo_MRDDqfR.png</icon>
        <author_name><![CDATA[Adam B]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QLearn_1/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[abialecki]]></uploaded_by>
        <create_date>2025-04-07T04:56:11.037544+00:00</create_date>
        <update_date>2025-04-07T04:56:13.990656+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/0graph/QLearn/issues]]></tracker>
        <repository><![CDATA[https://github.com/0graph/QLearn]]></repository>
        <tags><![CDATA[raster,analysis,classification,processing,training,machine learning,segmentation,neural network,image recognition]]></tags>
        <downloads>1048</downloads>
        <average_vote>2.999571489787173</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tempo Salvo Tools" version="1.9.25" plugin_id="3819">
        <description><![CDATA[🧰 Plugin para QGIS focado em produtividade em vetor, raster e malhas 3D, com módulos organizados por tipo de camada e por rotinas de engenharia. Permite criar, editar, converter e exportar para DXF, KML/KMZ, DAE, STL, OBJ e gerar saídas XLSX. Suporta CRS UTM e geográfico (com troca dinâmica quando aplicável) e integra com Qgis2threejs para visualização 3D
🌐
🧰 A productivity-focused QGIS plugin for vector, raster, and 3D mesh workflows, organized by layer type and engineering modules. It helps you create, edit, convert, and export data to DXF, KML/KMZ, DAE, STL, OBJ, and generate XLSX outputs. Supports UTM and geographic CRS (with dynamic switching when applicable) and integrates with Qgis2threejs for 3D visualization.]]></description>
        <about><![CDATA[(/◕ヮ◕)/   ♫♫♪ ❤️ QGis ♪♫♫    (＾ｕ＾)

📎 Use a versão do QGis +3.44📎
🛠 Veja a baixo a lista de funcionalidades do Plugin (Português)🛠
🛠 See below the list of the plugin’s features (English)🛠

🗂️ Gerenciadores por tipo de camada

🧵 Linhas / 🟧 Polígonos / 📍 Pontos: criação rápida, clonagem, troca de CRS, ajustes de estilo (cor/espessura/tamanho), rótulos simples/HTML, importação/edição de KML/DXF (inclui textos), exportação DXF e KML/KMZ, remoção com opções de salvamento.
🛰️ Raster: importação e organização de rasters/imagens, salvamento rápido, exportação DXF e KML/KMZ, atalho para Qgis2threejs.
🧊 Malhas (Mesh 3D): exportação DXF/DAE/STL/OBJ e KML/KMZ, visualização 3D, salvamento rápido e rasterização de malhas.

📐 Módulos de análise e geração

〰️ Curvas de nível 3D: geração em 1 clique + exportação DXF
➜ Setas no MDT: setas/linhas com inclinação sobre o terreno + exportação DXF
🧭 Extração de cotas do MDT: pontos cotados e polígonos temáticos por valores/cores do raster
🧱 Grade UTM/GEO: molduras UTM e geográficas com equidistância configurável + exportação DXF
🏗️ Platô sobre MDT: platô por polígono, estaqueamento, talude e gráfico
🧮 Volumes entre MDTs: corte/aterro + exportação Excel
📉 Perfis de MDT: altimetria e inclinação, leitura no mapa, pontos e exportação (PNG/JPG/PDF/TIFF/SVG/DXF)
📊 Talude 2D: gráfico de corte/aterro + exportação DXF
☀️ Estruturas solares: gráficos e dimensionamento (inclinação/estacas) + exportação DXF/PDF e GeoPackage

🗺️ Exportação para KMZ/KML

📸 Fotos → KMZ: KMZ com geolocalização, escolha de ícones e ScreenOverlay
🖼️ Imagens → KMZ: miniaturas em tabela, ícones personalizados, sincronização com campos/camadas e balões HTML + ScreenOverlay

🧩 Ferramentas vetoriais avançadas

🔁 Conversões: linhas ↔ polígonos
✂️ Operações sobre linhas: pontos em vértices, segmentação e polígonos ao longo da linha (quadrado/círculo/hexágono)
🧵 Linhas dentro de polígonos: geração interna com direções configuráveis
🧮 Matrizes vetoriais: retangular, polar, setorial e espiral (edição em tempo real)
🧷 Geoprocessamento de polígonos: interseção/diferença/união + área/perímetro automáticos
📏 Dimensionamento: cotas lineares/angulares dinâmicas + exportação DXF
🏷️ Notas mecânicas: anotações conectadas ou livres + exportação DXF
📋 Gerenciador de Tabelas: Simplifica o uso da Tabela de Atributos

🌊 Redes de drenagem

🧠 Motores: SAGA / TauDEM / WhiteboxTools
🧵 Canais, bacias/sub-bacias, tabelas de gestão, simbologia automática
🧰 Processamento em QGIS Task (não trava o QGIS)
📈 Gráfico de perfil e exportação/organização em GeoPackage e DXF

English version

🗂️ Layer Managers

🧵 Lines / 🟧 Polygons / 📍 Points: fast layer creation, cloning, CRS switching, quick styling (color/width/size), simple/HTML labeling, editable KML/DXF import (including DXF texts), DXF + KML/KMZ export, and safe deletion with save options.
🛰️ Rasters: import and organize rasters/images, quick save, DXF + KML/KMZ export, and a shortcut to Qgis2threejs.
🧊 Meshes (3D): export to DXF/DAE/STL/OBJ and KML/KMZ, 3D preview, quick save, and mesh rasterization.

📐 Analysis &amp; Generation Modules

〰️ 3D contour lines: one-click generation + DXF export
➜ DEM arrows: slope arrows/lines over terrain + DXF export
🧭 Raster elevation extraction: spot heights and thematic polygons by raster values/colors
🧱 UTM/Geographic grid frames: configurable spacing, geometry-aware frames + DXF export
🏗️ DEM platform (plateau): plateau from polygon, chainage, slope/talude and chart
🧮 DEM-to-DEM volumes: cut/fill surfaces + Excel export
📉 Terrain profiles: elevation &amp; slope charts, map readout, point output, exports (PNG/JPG/PDF/TIFF/SVG/DXF)
📊 2D slope/talude chart: dynamic cut/fill controls + DXF export
☀️ Solar structure charts: slope/post sizing and charts + DXF/PDF export and GeoPackage output

🗺️ KMZ/KML Export

📸 Photos → KMZ: geotagged KMZ creation, per-photo icon selection, ScreenOverlay positioning
🖼️ Images → KMZ: thumbnail table, custom icons, layer/field sync, HTML balloons (attributes/table) + ScreenOverlay

🧩 Advanced Vector Tools

🔁 Conversions: lines ↔ polygons
✂️ Line operations: points on vertices, segmentation, polygons along a line (square/circle/hexagon)
🧵 Lines inside polygons: generate internal lines with configurable directions
🧮 Vector matrices: rectangular, polar, sector, and spiral (real-time editing)
🧷 Polygon geoprocessing: intersection/difference/union with auto area/perimeter updates
📏 Dimensioning: dynamic linear/angular dimensions + DXF export
🏷️ Mechanical notes: linked or free notes/annotations + DXF export
📋 Table Manager: Simplifies the use of the Attribute Table

🌊 Drainage Networks

🧠 Engines: SAGA / TauDEM / WhiteboxTools
🧵 Channels + basins/sub-basins, table-based management, automatic symbology
🧰 Runs as QGIS Tasks (non-blocking)
📈 Profile charts and delivery outputs in GeoPackage and DXF

🛠 Verifique se sua máquina possui todos os Módulos Python necessários instalados/ Check that your machine has all the required Python modules installed.

⚙️ pip install xlsxwriter
⚙️ pip install pyqtgraph
⚙️ pip install simplekml
⚙️ pip install PyOpenGL
⚙️ pip install requests
⚙️ pip install openpyxl
⚙️ pip install Pillow
⚙️ pip install ezdxf
⚙️ pip install numpy
⚙️ pip install lxml]]></about>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.youtube.com/watch?v=FmtvaKPe7ow&amp;t=1s]]></homepage>
        <file_name>tempo_salvo_tools.1.9.25.zip</file_name>
        <icon>/media/packages/2026/icon_c7GUOhk.png</icon>
        <author_name><![CDATA[Leonardo Gomes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tempo_salvo_tools/version/1.9.25/download/</download_url>
        <uploaded_by><![CDATA[leogomes21]]></uploaded_by>
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        <update_date>2026-02-07T20:25:51.056818+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LeoGomes21/Tempo_Salvo_Tools_v2.1.3/issues]]></tracker>
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        <downloads>9768</downloads>
        <average_vote>2.2607712708143124</average_vote>
        <rating_votes>23</rating_votes>
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        <server>False</server>
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        <description><![CDATA[Change the datasource of chosen layers dynamically by searching and replacing user defined variables.]]></description>
        <about><![CDATA[This plugin helps to change the datasources of many layers at once, for example to create different versions of the same project on different extents. You can use some variables such as {$myvar} inside the layer datasource, and then define theses variables (from a table or from an input vector source). Finally you apply the variables values on every configured layer via the apply button, and you can see the changes before saving the project.]]></about>
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        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.3liz.org/QgisDynamicLayersPlugin/]]></homepage>
        <file_name>dynamic_layers.0.8.0.zip</file_name>
        <icon>/media/packages/2025/icon_6W3lP4z.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dynamic_layers/version/0.8.0/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2025-04-09T11:16:43.254928+00:00</create_date>
        <update_date>2025-04-09T11:16:45.429079+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/QgisDynamicLayersPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/QgisDynamicLayersPlugin/issues]]></repository>
        <tags><![CDATA[feature,project,datasource,layers,dynamic]]></tags>
        <downloads>853</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Create Grids Angle" version="0.2" plugin_id="3822">
        <description><![CDATA[Create grids under specific angle]]></description>
        <about><![CDATA[This plugin was developed for creating grids under specific angle based on desired field edge. Creating site-specific units for managing site-specific units within Precision Agriculture concept.

Minimal data set for testing the plugin can be found in GitHub repository, which is a homepage of this plugin.

At the same GitHub repository in the pdf document GuideToUser detailed description of specific options of the plugin can be found!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/memicemir/create_grids_angle_qgis_plugin]]></homepage>
        <file_name>create_grids_angle.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_6lKW8qY.png</icon>
        <author_name><![CDATA[Memic Emir]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/create_grids_angle/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[memicemir]]></uploaded_by>
        <create_date>2025-04-09T11:54:31.353333+00:00</create_date>
        <update_date>2025-04-16T07:25:42.753313+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/memicemir/create_grids_angle_qgis_plugin]]></tracker>
        <repository><![CDATA[https://github.com/memicemir/create_grids_angle_qgis_plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1766</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UrbanMatrix" version="0.1.1" plugin_id="3823">
        <description><![CDATA[Apply the Matrix Method to urban spatial data using a customizable classification and visualization workflow.]]></description>
        <about><![CDATA[UrbanMatrix helps urban planners and researchers apply the Matrix Method for environmental assessment. It automates grid creation, spatial classification (e.g., building density), and applies predefined risk scoring. Includes styled visual outputs, easy layer downloads, and a clean user interface within QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/crivisan/urbanmatrix]]></homepage>
        <file_name>urbanmatrix.0.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_4whH32D.png</icon>
        <author_name><![CDATA[Cristhian Sanchez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/urbanmatrix/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[crivisan]]></uploaded_by>
        <create_date>2025-04-10T07:33:39.801103+00:00</create_date>
        <update_date>2025-04-23T14:31:31.299306+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/crivisan/urbanmatrix/issues]]></tracker>
        <repository><![CDATA[https://github.com/crivisan/urbanmatrix]]></repository>
        <tags><![CDATA[vector,raster,classification,geoprocessing,spatial analysis,urban planning,matrix method]]></tags>
        <downloads>1967</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Carroyage" version="1.3" plugin_id="3824">
        <description><![CDATA[Generate automatically grids]]></description>
        <about><![CDATA[This QGIS plugin allows you to generate automatically grids on a map.
Each tile generated is a polygon with attributes automatically set
allowing easy assignment of labels or spatial queries.

This plugin differs from the classic grid generation by simplifying the
orientation of the grid and generating the corresponding attributes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.iggdrasil.net/carroyage/]]></homepage>
        <file_name>carroyage.1.3.zip</file_name>
        <icon>/media/packages/2025/icon_Loxtsl3.png</icon>
        <author_name><![CDATA[Étienne Loks]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/carroyage/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[etienneloks]]></uploaded_by>
        <create_date>2025-04-10T14:58:54.314976+00:00</create_date>
        <update_date>2025-06-16T16:27:10.861629+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/iggdrasil/carroyage/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/iggdrasil/carroyage]]></repository>
        <tags><![CDATA[vector,archaeology,grid,carroyage,botany]]></tags>
        <downloads>2405</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Machine Learning for QGIS" version="0.2.0" plugin_id="3825">
        <description><![CDATA[Machine Learning for Image Classification in QGIS]]></description>
        <about><![CDATA[A processing plugin for using machine learning in QGIS.
It exposes the power of scikit-learn random forest through QGIS processing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rosaguilar/ml4qgis]]></homepage>
        <file_name>ml4qgis.0.2.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Rosa Aguilar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ml4qgis/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[rosaaguilar]]></uploaded_by>
        <create_date>2025-04-13T19:55:33.491685+00:00</create_date>
        <update_date>2025-04-23T08:56:01.048268+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rosaguilar/ml4qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/rosaguilar/ml4qgis]]></repository>
        <tags><![CDATA[supervised classification,random forest,machine learning,ml,ml4qgis,machine-learning,GEOAI,GEO-AI]]></tags>
        <downloads>3890</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS-FME Form Connector" version="1.0.0" plugin_id="3828">
        <description><![CDATA[The QGIS-FME Form Connector plugin is a powerful tool that bridges QGIS and FME, enabling seamless data transformation and workflow automation between these two platforms.]]></description>
        <about><![CDATA[This plugin allows QGIS users to leverage FME&#x27;s robust and powerful data transformation capabilities directly from the QGIS interface. Hence, in order to use this plugin, the users must make sure FME Form is installed and licensed to run. It includes a default FME workspace (template) to help you get started. The template can be customized to the users needs. The workspace is located in the plugin folder directory under &quot;FME Workspace/QGISFMEFormConnectorTemplate.fmw&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gis.com.my/training/qgis-plugin/qgis-fme-form-connector/]]></homepage>
        <file_name>qgisfmeformconnector.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_IJTO8Vj.png</icon>
        <author_name><![CDATA[GIS Innovation Sdn. Bhd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisfmeformconnector/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[gisinnovationmy]]></uploaded_by>
        <create_date>2025-04-15T08:13:04.242452+00:00</create_date>
        <update_date>2025-04-21T04:57:29.018461+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gisinnovationmy/QGISFMEFormConnector/issues]]></tracker>
        <repository><![CDATA[https://github.com/gisinnovationmy/QGISFMEFormConnector]]></repository>
        <tags><![CDATA[python,project,transformation,openstreetmap,osm,layers,connector,workflow,data,qgis,automation,fme,form]]></tags>
        <downloads>2113</downloads>
        <average_vote>4.999545495864012</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FieldMove Project Importer" version="1.0" plugin_id="3829">
        <description><![CDATA[This plugin consolidates FieldMove project files into a QGIS project]]></description>
        <about><![CDATA[FieldMoveProjectImporter plugin aims to facilitate the import of FieldMove data into a consolidated QGIS project for further visualisation and analysis. Field observations, notes, structural measurements and georeferenced images captured with a tablet using FieldMove app (or on a mobile phone with FieldMove Clino) can alltogether be combined in a QGIS project for structural analysis, and to prepare comprehensive geological maps.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gduclaux/FieldMoveProjectImporter_QGIS]]></homepage>
        <file_name>FieldMoveProjectImporter_beta.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_5Kzp0dE.png</icon>
        <author_name><![CDATA[Guillaume Duclaux, Université Côte d&#x27;Azur]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FieldMoveProjectImporter_beta/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gduclaux]]></uploaded_by>
        <create_date>2025-04-15T13:34:10.331459+00:00</create_date>
        <update_date>2025-06-22T19:13:46.652816+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gduclaux/FieldMoveProjectImporter_QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/gduclaux/FieldMoveProjectImporter_QGIS]]></repository>
        <tags><![CDATA[python,geology,geosciences,geological mapping]]></tags>
        <downloads>1806</downloads>
        <average_vote>4.499437570303712</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GetFeats" version="0.2.0" plugin_id="3830">
        <description><![CDATA[A semi-automation tool that creates an auto-updating table of feature attributes near a selected point.]]></description>
        <about><![CDATA[When a point is selected from a designated vector layer, a table is populated with the chosen feature attributes from a second layer (must have line geometry). These values can then be quickly copy/pasted into the original point layer attribute table.

Use Cases:
- Speeds up manual data entry while limiting the risk of typos during feature labeling. Simply copy/paste the correct value.

- When quality assurance (preventing errors) is preferred over quality control (handling errors later).

- When choosing a value from a list is desired, but manual entry may be necessary.

Check the readme in the github repository for further explanation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tetrakai1/GetFeats]]></homepage>
        <file_name>GetFeats.0.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_2o0zcfP.png</icon>
        <author_name><![CDATA[tetrakai1]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GetFeats/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[tetrakai1]]></uploaded_by>
        <create_date>2025-04-16T21:54:22.564863+00:00</create_date>
        <update_date>2025-05-01T13:58:26.527730+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tetrakai1/GetFeats/issues]]></tracker>
        <repository><![CDATA[https://github.com/tetrakai1/GetFeats]]></repository>
        <tags><![CDATA[vector,python,analysis,automation]]></tags>
        <downloads>1082</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Radar RS120 Tools" version="1.3" plugin_id="3833">
        <description><![CDATA[Herramientas avanzadas para procesamiento y análisis de datos de radares meteorológicos RS120 y Furuno WR110]]></description>
        <about><![CDATA[Este plugin proporciona un conjunto completo de herramientas para procesar y analizar datos de radares meteorológicos, incluyendo soporte para RS120 y Furuno WR110:

NUEVO EN v1.2: Soporte completo para radar Doppler Furuno WR110

🎯 FUNCIONALIDADES PRINCIPALES:

• Conversión RS120 a GeoTIFF:
- Reproyección automática a WGS84 UTM Zona 17S (EPSG:32717)
- Umbral personalizable para valores NoData (por defecto 25 dBZ)
- Aplicación automática de paleta de colores para precipitación
- Múltiples métodos de reproyección con recuperación automática

• Procesamiento Furuno WR110 (NUEVO):
- Extracción de datos RATE (precipitación en mm/h)
- Múltiples métodos de agregación de elevaciones:
* Máximo (conservador para eventos extremos)
* Promedio (realista para precipitación superficial)
* Promedio ponderado por elevación
* Elevación más baja (datos cercanos a superficie)
* Compuesto vertical inteligente
- Soporte para archivos comprimidos (.h5.gz)
- Interpolación automática de pequeños vacíos
- Umbrales de precipitación configurables
- Procesamiento con GDAL (no requiere h5py)

• Creación de GIF animado (RS120):
- Umbral personalizable para transparencia (por defecto 30 dBZ)
- Incorporación opcional de mapa base OpenStreetMap
- Velocidad de animación ajustable
- Títulos personalizables
- Descarga inteligente de mapas base con manejo de errores

• Series Temporales (RS120):
- Análisis en intervalos temporales definidos por usuario
- Operaciones: suma, media, máximo, mínimo
- Ajuste automático de zona horaria (UTC a local)
- Procesamiento recursivo en subcarpetas
- Umbral personalizable para valores NoData

• Calibración a Precipitación (RS120):
- Integración con estaciones meteorológicas
- Algoritmos de interpolación espacial avanzados
- Consideración de efectos topográficos (DEM)
- Mapas calibrados en milímetros (mm)
- Métodos de interpolación múltiples:
* IDW (Inverse Distance Weighting)
* Linear, Cubic, Nearest (SciPy)
* Ordinary Kriging, Universal Kriging (PyKrige)

🔧 MEJORAS EN v1.2:
- Mejor manejo de errores y recuperación automática
- Paletas de colores optimizadas para precipitación
- Interfaz más informativa con mensajes claros
- Mayor compatibilidad con formatos de archivo
- Procesamiento robusto con fallbacks inteligentes

📊 ESPECIFICACIONES TÉCNICAS:
- Formatos entrada: NetCDF (.nc, .nc4), HDF5 (.h5, .h5.gz)
- Proyección salida: WGS84 UTM Zona 17S (EPSG:32717)
- Formatos salida: GeoTIFF, GIF animado
- Compatible con QGIS 3.16+

💡 CASOS DE USO:
- Monitoreo meteorológico en tiempo real
- Análisis climatológico regional
- Validación de modelos numéricos
- Estudios hidrológicos y de precipitación
- Investigación atmosférica

🎓 DESARROLLADO POR:
Departamento de Ingeniería Civil - UTPL
Especialización en sistemas de radar meteorológico]]></about>
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        <tracker><![CDATA[https://github.com/hrko9gis/GoogleMapsLocationSync/issues]]></tracker>
        <repository><![CDATA[https://github.com/hrko9gis/GoogleMapsLocationSync]]></repository>
        <tags><![CDATA[google maps,location]]></tags>
        <downloads>2855</downloads>
        <average_vote>4.999500049995</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Rockyfor3D Input Rasters" version="0.4" plugin_id="3852">
        <description><![CDATA[This plugin prepares the input rasters for the Rockyfor3D rockfall simulation model.]]></description>
        <about><![CDATA[Based on a digital elevation model (DEM) and a polygon or line input (terrain / forest / rockfall nets), the algorithm rasterizes the attributes from the vector layer, ensuring alignment of all output rasters with the DEM grid, and the correct output format of all data (ASCII grid). The tool includes internal checks for invalid or missing geometries, mismatched coordinate reference systems (CRS), and missing values. In addition, attributes are validated against predefined type and value constraints that reflect the expectations of the Rockyfor3D model.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ecorisQ/QGIS-RF3D]]></homepage>
        <file_name>QGIS_RF3D.0.4.zip</file_name>
        <icon>/media/packages/2026/Logo_ecorisQ_with_URL.png</icon>
        <author_name><![CDATA[Alexandra Erbach]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS_RF3D/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[lex1989]]></uploaded_by>
        <create_date>2025-05-04T17:16:17.728399+00:00</create_date>
        <update_date>2026-03-27T21:12:16.532417+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ecorisQ/QGIS-RF3D/issues]]></tracker>
        <repository><![CDATA[https://github.com/ecorisQ/QGIS-RF3D]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1477</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AtlasGrid" version="2.1.1" plugin_id="3853">
        <description><![CDATA[This plugin can be used for creating a regular coverage grid for atlas plots]]></description>
        <about><![CDATA[When making atlas plots you will often be using a coverage layer consisting of regular (evenly sized) rectangles for dividing the atlas into pages. This plugin can be used for creating this kind of polygon layers based on the scale and physical size of the map item in a given print layout.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/styrke10/atlasgrid]]></homepage>
        <file_name>atlasgrid.2.1.1.zip</file_name>
        <icon>/media/packages/2026/atlasgrid_r2DKM7S.png</icon>
        <author_name><![CDATA[Morten Storm, Styrke 10 ApS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/atlasgrid/version/2.1.1/download/</download_url>
        <uploaded_by><![CDATA[mostorm]]></uploaded_by>
        <create_date>2025-05-05T09:25:45.398835+00:00</create_date>
        <update_date>2026-03-11T10:13:33.674981+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/styrke10/atlasgrid/issues]]></tracker>
        <repository><![CDATA[https://github.com/styrke10/atlasgrid]]></repository>
        <tags><![CDATA[python,print layout,atlas print]]></tags>
        <downloads>5822</downloads>
        <average_vote>4.845781093762018</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Search" version="1.0" plugin_id="3855">
        <description><![CDATA[A plugin that adds a search box to the Layers panel to highlight layers by name within the Layer Panel tree]]></description>
        <about><![CDATA[QGIS has a builtin broad search, but it is detached from the Layers panel (so does not move with it) and does not show the tree hierarchy while searching. Basically I want my search button at the top, for it to be scoped just to layers and to give more satisfying visual feedback 🤷‍♂️]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Bimbam360/qgis_layer_search]]></homepage>
        <file_name>qgis_layer_search.1.0.zip</file_name>
        <icon>/media/packages/2025/Icon_o00aG0A.png</icon>
        <author_name><![CDATA[Beau Seymour]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_layer_search/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[bimbam]]></uploaded_by>
        <create_date>2025-05-06T09:55:14.165029+00:00</create_date>
        <update_date>2025-05-06T09:55:16.366649+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Bimbam360/qgis_layer_search/issues]]></tracker>
        <repository><![CDATA[https://github.com/Bimbam360/qgis_layer_search]]></repository>
        <tags><![CDATA[search,layers]]></tags>
        <downloads>1761</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WindScout Basedata Service DEV" version="1.27" plugin_id="3856">
        <description><![CDATA[Serves base data layers relevant for the renewable energy industry]]></description>
        <about><![CDATA[WindScout Basedata Service serves base data layers relevant for the renewable energy industry. It needs a paid subscription to work.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.windscout.de]]></homepage>
        <file_name>windscout_grunddaten.1.27.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[RL]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/windscout_grunddaten/version/1.27/download/</download_url>
        <uploaded_by><![CDATA[windscout]]></uploaded_by>
        <create_date>2025-05-06T09:57:21.700933+00:00</create_date>
        <update_date>2025-05-06T09:57:25.772431+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/rajanski/renewable_basedata_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/rajanski/renewable_basedata_plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>380</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Name Replacer" version="1.0.0" plugin_id="3857">
        <description><![CDATA[A plugin to batch rename layer names based on a text file of replacement rules.]]></description>
        <about><![CDATA[This plugin reads a comma-separated replacement rules file (old,new) and performs batch renaming of all layer names accordingly.
By specifying a replacement file, you can efficiently and flexibly organize layer names.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-Layer-Name-Replacer]]></homepage>
        <file_name>LayerNameReplacer.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_JecLxAW.png</icon>
        <author_name><![CDATA[Rikuto Arita]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LayerNameReplacer/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[panyoricomeha]]></uploaded_by>
        <create_date>2025-05-06T10:08:53.515666+00:00</create_date>
        <update_date>2025-05-06T10:08:56.221480+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-Layer-Name-Replacer]]></tracker>
        <repository><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-Layer-Name-Replacer]]></repository>
        <tags><![CDATA[qgis,string replacement,layer names,batch processing,utility]]></tags>
        <downloads>1008</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="F|Heat" version="0.1.1" plugin_id="3860">
        <description><![CDATA[This plugin provides tools for district heating planning]]></description>
        <about><![CDATA[This plugin provides tools for municipal heat planning. It supports the entire process — from downloading required spatial data (shapefiles) to designing a district heating network and exporting results as a report. The plugin is currently tailored to data sources available in North Rhine-Westphalia (NRW), Germany. Use in other regions may require adapting data formats and sources. Additional Python libraries are required. Please refer to the documentation on ReadTheDocs (linked in the repository) or visit our German homepage for a full installation guide.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.3.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.fh-muenster.de/de/iep/fheat/index]]></homepage>
        <file_name>FHeat_QGIS.0.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_R2PtRFM.png</icon>
        <author_name><![CDATA[FH Münster University of Applied Sciences]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FHeat_QGIS/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[larsg]]></uploaded_by>
        <create_date>2025-05-06T15:10:42.992055+00:00</create_date>
        <update_date>2025-09-23T09:29:04.338160+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/F-Heat/F-Heat_QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/F-Heat/F-Heat_QGIS/tree/main/FHeat_QGIS]]></repository>
        <tags><![CDATA[python,map,network,fheat,f|heat,municipal heat planning,district heating,f-heat]]></tags>
        <downloads>1663</downloads>
        <average_vote>4.999500049995</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EasyFillet" version="1.3.0" plugin_id="3861">
        <description><![CDATA[EasyFillet is a CAD-like fillet tool for QGIS, allowing you to create true tangent arcs and trimmed lines between two segments. The plugin belongs to the PlanX suite.]]></description>
        <about><![CDATA[EasyFillet lets you pick two line segments, preview a radius, and instantly generate a precise tangent arc while trimming the originals so they meet at a perfect node. It streamlines drafting-grade editing inside QGIS and supports PlanX&#x27;s broader urban-planning tool-chain.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/YusufEminoglu/EasyFillet]]></homepage>
        <file_name>EasyFillet.1.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_HATxeUT.png</icon>
        <author_name><![CDATA[Yusuf Eminoglu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/EasyFillet/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[geo140195philo]]></uploaded_by>
        <create_date>2025-05-07T08:08:28.057276+00:00</create_date>
        <update_date>2026-04-05T15:28:31.124348+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/YusufEminoglu/EasyFillet/issues]]></tracker>
        <repository><![CDATA[https://github.com/YusufEminoglu/EasyFillet]]></repository>
        <tags><![CDATA[cad,arc,zoning,city planning,planx,vector editing,fillet]]></tags>
        <downloads>820</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Interface Locker" version="1.1" plugin_id="3862">
        <description><![CDATA[Lock and restore toolbar layout in the QGIS interface (Blocca e ripristina la disposizione delle barre degli strumenti nell’interfaccia di QGIS).]]></description>
        <about><![CDATA[Allows you to save and restore the layout of toolbars and panels in QGIS. After arranging the interface as desired, click &quot;Save Interface&quot; to store the configuration. Later, when opening a new QGIS session, the plugin can restore the interface exactly as it was saved. Consente di salvare e ripristinare la disposizione delle barre degli strumenti e dei pannelli in QGIS. Dopo aver organizzato l’interfaccia, cliccare su &quot;Salva interfaccia&quot; per memorizzare la configurazione. Successivamente, il plugin può ripristinare l’interfaccia esattamente come salvata.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/drFaustino/interface_locker]]></homepage>
        <file_name>interface_locker.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_T70zzPm.png</icon>
        <author_name><![CDATA[Dr. Geol. Faustino Cetraro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/interface_locker/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[drfaustino]]></uploaded_by>
        <create_date>2025-05-07T13:00:58.393190+00:00</create_date>
        <update_date>2026-04-14T09:21:34.933468+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/drFaustino/interface_locker]]></tracker>
        <repository><![CDATA[https://github.com/drFaustino/interface_locker]]></repository>
        <tags><![CDATA[profile,layout,toolbar,interface]]></tags>
        <downloads>1455</downloads>
        <average_vote>4.822115064109687</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FaultBufferTool" version="0.1" plugin_id="3863">
        <description><![CDATA[Create buffers for fault traces based on confidence attributes and ranking criteria.]]></description>
        <about><![CDATA[The Fault Buffer Tool allows geologists and engineers to create uncertainty buffers around mapped fault traces based on literature-backed values. The tool supports multiple uncertainty calculation approaches: general uncertainty, uncertainty with ranking (based on confidence, primary/secondary classification, and simple/complex classification), and geologic judgment. It also handles different fault types (strike-slip, normal, reverse) with appropriate symmetric or asymmetric buffers. Developed at Arizona State University.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Raswanth-Prasath/faultbuffertool]]></homepage>
        <file_name>faultbuffertool.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_kXxcaTe.png</icon>
        <author_name><![CDATA[Raswanth Prasath S V]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/faultbuffertool/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[raswanth]]></uploaded_by>
        <create_date>2025-05-08T07:31:20.763388+00:00</create_date>
        <update_date>2025-05-08T07:31:22.590768+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Raswanth-Prasath/faultbuffertool/issues]]></tracker>
        <repository><![CDATA[https://github.com/Raswanth-Prasath/faultbuffertool]]></repository>
        <tags><![CDATA[vector,geology,buffer,fault,uncertainty]]></tags>
        <downloads>1102</downloads>
        <average_vote>4.799040191961607</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Create Relation" version="0.3" plugin_id="3864">
        <description><![CDATA[Create one-to-one, one-to-many, and many-to-many relationships between vector layer attribute tables. (Crea relazioni uno-a-uno, uno-a-molti e molti-a-molti tra le tabelle degli attributi dei livelli vettoriali)]]></description>
        <about><![CDATA[It allows you to define a one-to-one (1:1), one-to-many (1:N) or many-to-many (N:M) relationship between two attribute tables of vector layers loaded in QGIS. You can select the parent layer with its link field, the child layer with its field, and specify the type of relationship to create. In the case of a many-to-many relationship, an intermediate link table is automatically generated, which you can assign a custom name to and save in Shapefile or GeoJSON formats.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/drFaustino/create_relation]]></homepage>
        <file_name>create_relation.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_pizIt0h.png</icon>
        <author_name><![CDATA[dr. Geol. Faustino Cetraro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/create_relation/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[drfaustino]]></uploaded_by>
        <create_date>2025-05-09T10:07:48.343193+00:00</create_date>
        <update_date>2025-05-23T12:22:56.392853+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/drFaustino/create_relation]]></tracker>
        <repository><![CDATA[https://github.com/drFaustino/create_relation]]></repository>
        <tags><![CDATA[vector,attribute,database,analysis,attribute table,table,field,join,layers,relations]]></tags>
        <downloads>2034</downloads>
        <average_vote>3.8288969881975237</average_vote>
        <rating_votes>76</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Note" version="0.3" plugin_id="3865">
        <description><![CDATA[Add contextual annotations to layers and features (Aggiungi delle annotazioni contestuali a vari livelli di un progetto).]]></description>
        <about><![CDATA[It is a widget that appears as a side panel docked, by default, on the right of the main QGIS interface. It can be easily undocked by dragging it with the mouse to another position, and re-docked by double-clicking on the title bar. Its use is extremely simple: select a layer from the list (if it does not appear, you can refresh it with the appropriate button), insert a text note and save. The process can be repeated for each layer. The notes are saved directly within the QGIS project as custom metadata, remaining associated with the layer even after the project is closed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/drFaustino/layer_note]]></homepage>
        <file_name>layer_note.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_9TZ4cgI.png</icon>
        <author_name><![CDATA[dr. Geol. Faustino Cetraro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer_note/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[drfaustino]]></uploaded_by>
        <create_date>2025-05-09T14:43:44.345889+00:00</create_date>
        <update_date>2025-05-23T12:23:47.569701+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/drFaustino/layer_note]]></tracker>
        <repository><![CDATA[https://github.com/drFaustino/layer_note]]></repository>
        <tags><![CDATA[feature,editing,composer,labeling,metadata,layers,note]]></tags>
        <downloads>1870</downloads>
        <average_vote>4.848337929153662</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TopoNodos" version="0.1" plugin_id="3866">
        <description><![CDATA[Extrai automaticamente os pontos de inflexão altimétrica sobre redes de distribuição usando um modelo digital de superfície.]]></description>
        <about><![CDATA[Este plugin identifica automaticamente os pontos de inflexão em redes de tubulações a partir de dados altimétricos raster (MDS), amostra a elevação e quebra as linhas da rede nos pontos de inflexão detectados, preservando a geometria original.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Evanderson-Aguiar/TopoNodos]]></homepage>
        <file_name>TopoNodos.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_5MjlPdr.png</icon>
        <author_name><![CDATA[Evanderson H. Aguiar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TopoNodos/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[evanderson]]></uploaded_by>
        <create_date>2025-05-09T20:43:28.855369+00:00</create_date>
        <update_date>2025-05-09T20:43:30.499560+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Evanderson-Aguiar/TopoNodos]]></tracker>
        <repository><![CDATA[https://github.com/Evanderson-Aguiar/TopoNodos]]></repository>
        <tags><![CDATA[topography]]></tags>
        <downloads>742</downloads>
        <average_vote>4.713612341094129</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="JMap Cloud" version="1.0.4" plugin_id="3867">
        <description><![CDATA[JMap Cloud Plugin]]></description>
        <about><![CDATA[This plugin allows you to work with your JMap Cloud projects directly in QGIS. Open your map projects to view or modify your data in QGIS. Export your QGIS projects to JMap Cloud. The plugin &#x27;Layer Tree Icons&#x27; is an optional dependency of this plugin and does not work on Mac OS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.jmapcloud.io/en/jmap-cloud-plugin-for-qgis/jmap-cloud-plugin-user-guide]]></homepage>
        <file_name>JMapCloud.1.0.4.zip</file_name>
        <icon>/media/packages/2026/icon_2cMPLoP.svg</icon>
        <author_name><![CDATA[K2 Geospatial]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/JMapCloud/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[k2dev]]></uploaded_by>
        <create_date>2025-05-09T22:15:38.317533+00:00</create_date>
        <update_date>2026-04-13T17:39:05.691516+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/k2geospatial/jmapcloud-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/k2geospatial/jmapcloud-qgis-plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>841</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cruise Track Export" version="0.3" plugin_id="3871">
        <description><![CDATA[Export waypoints for Transas Ecdis.]]></description>
        <about><![CDATA[QGIS Plugin that helps exporting navigation files for Transas Ecdis. The order of waypoints can simply be sorted in a preferred way.

Export to the following file formats:

    rtz
    rt3
    cvt-files.

Build by utilizing QGIS Plugin Builder.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gim4p/cruise_track_tool]]></homepage>
        <file_name>cruise_track.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_DuZWouF.png</icon>
        <author_name><![CDATA[gianna and markus]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cruise_track/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[gimap]]></uploaded_by>
        <create_date>2025-05-11T08:21:19.558209+00:00</create_date>
        <update_date>2025-05-13T13:42:18.668072+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gim4p/cruise_track/issues]]></tracker>
        <repository><![CDATA[https://github.com/gim4p/cruise_track_tool]]></repository>
        <tags><![CDATA[mapping,planning,cruise,station,track,transas,ecdis,rtz,rt3,vessel,towed,waypoint,Side Scan Sonar,organise waypoints]]></tags>
        <downloads>872</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="StreetViewQGISCej" version="2.0" plugin_id="3872">
        <description><![CDATA[Show Google Street View in QGIS dock widget]]></description>
        <about><![CDATA[Plugin that allows users to open Google Street View in a dock widget inside QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://genxqx.wixsite.com/ceejay]]></homepage>
        <file_name>streetview_qgis_cej.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_I6VDYNn.png</icon>
        <author_name><![CDATA[Thamoon Kedkaew (Cej)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/streetview_qgis_cej/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[thamoon]]></uploaded_by>
        <create_date>2025-05-12T15:29:30.518508+00:00</create_date>
        <update_date>2025-05-30T16:37:41.198038+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Genroy/QgisStreetwidgetPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Genroy/QgisStreetwidgetPlugin]]></repository>
        <tags><![CDATA[streetview]]></tags>
        <downloads>7362</downloads>
        <average_vote>4.752637068418619</average_vote>
        <rating_votes>93</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Clickpointtoedit" version="2.0" plugin_id="3874">
        <description><![CDATA[When click point or poligon will be show popup identify and edit records]]></description>
        <about><![CDATA[Provide a brief description of the plugin and its purpose.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://genxqx.wixsite.com/ceejay]]></homepage>
        <file_name>clickpointtoedit.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_oWwyLf9.png</icon>
        <author_name><![CDATA[Thamoon Kedkaew (CeJ)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/clickpointtoedit/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[thamoon]]></uploaded_by>
        <create_date>2025-05-12T15:55:51.630408+00:00</create_date>
        <update_date>2025-06-22T14:50:00.227431+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Genroy/clickpointtoedit]]></tracker>
        <repository><![CDATA[https://github.com/Genroy/clickpointtoedit]]></repository>
        <tags><![CDATA[edit_data]]></tags>
        <downloads>1490</downloads>
        <average_vote>4.783253612439792</average_vote>
        <rating_votes>60</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoBioTool" version="1.0.7" plugin_id="3876">
        <description><![CDATA[GeoBioTool(GBT) enables QGIS users to compute biodiversity and canopy structure metrics from classified rasters and ASCII point cloud data. It calculates Shannon–Wiener (Shannon, 1948) and Simpson (Simpson, 1949) indices from land cover classifications, Local Beta diversity (Jaccard / Sorensen) as a window-based turnover summary (TXT report), Foliage Height Diversity (FHD) (MacArthur &amp; MacArthur, 1961), Rumple Index (Parker et al., 2004), Rugosity Index (Dustan et al., 2013), Leaf Area Index (LAI) &amp; Vertical Complexity Index (VCI), and Height-Matrix metrics (zmean, zmax, zmin) from point files. Suitable for biodiversity assessment, ecological monitoring, nature-positive planning, and vertical vegetation analysis.]]></description>
        <about><![CDATA[GeoBioTool(GBT) is a biodiversity analysis plugin powered by Invalab. Vision: Adding Nature, Realizing Nature-Positive. Mission: Re-building nature capital from intangible value into investable asset. We&#x27;re unlocking the hidden value &#x27;X&#x27; from life of earth. Now with Local Beta (Jaccard/Sorensen) in addition to diversity indices, FHD, Rumple, Rugosity, LAI/VCI and Height-Matrix analysis. The plugin menu groups ASCII-report tools and raster-output tools with a visual separator for clarity.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.invalab.com/]]></homepage>
        <file_name>GeoBioTool.1.0.7.zip</file_name>
        <icon>/media/packages/2025/icon_l7pHkzO.png</icon>
        <author_name><![CDATA[Daeyeol Kim (Invalab Co., Ltd.), Wonhyeop Shin (Invalab Co., Ltd.), Dennis Heejoon Choi, Jihwan Kim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoBioTool/version/1.0.7/download/</download_url>
        <uploaded_by><![CDATA[wing94wing]]></uploaded_by>
        <create_date>2025-05-13T04:17:30.344586+00:00</create_date>
        <update_date>2025-08-25T07:06:22.601453+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/therekim/GeoBioTool/issues]]></tracker>
        <repository><![CDATA[https://github.com/therekim/GeoBioTool]]></repository>
        <tags><![CDATA[ecology,raster,biodiversity,diversity,indices,habitat,lai,shannon-wiener,toolbox,simpson-index,fhd,rumple,ascii,rugosity,vci,zmax,height-matrix,zmin,zmean,beta-diversity,turnover,sorensen,jaccard]]></tags>
        <downloads>3627</downloads>
        <average_vote>4.699132630793938</average_vote>
        <rating_votes>236</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="hatagu_water1" version="1.1" plugin_id="3883">
        <description><![CDATA[配水ブロックの重要度評価]]></description>
        <about><![CDATA[This plugin evaluates importance of distribution blocks using facility data and customizable scoring.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hatagu22/-hatagu_water1]]></homepage>
        <file_name>hatagu_water1.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Tomoki Hataguchi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hatagu_water1/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[hatagu22]]></uploaded_by>
        <create_date>2025-05-16T00:17:17.535032+00:00</create_date>
        <update_date>2025-05-20T23:02:20.385058+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hatagu22/-hatagu_water1/issues]]></tracker>
        <repository><![CDATA[https://github.com/hatagu22/-hatagu_water1]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>590</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Treesta Importer" version="0.5.1" plugin_id="3884">
        <description><![CDATA[Konvertiert Daten aus dem Baumsicht Baumkataster 3 oder 4 für den Import nach Treesta. Converts tree inventory by Baumsicht for import into Treesta.]]></description>
        <about><![CDATA[Dieses Plugin hilft bei der Umwandlung von Daten aus dem Baumkataster 3 oder 4 in das Treesta-kompatible CSV-Format. This plugin helps convert data from the tree cadastre by Baumsicht into the Treesta-compatible CSV format.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://treesta.net]]></homepage>
        <file_name>treesta_importer.0.5.1.zip</file_name>
        <icon>/media/packages/2025/TREESTA-Logo-mint.png</icon>
        <author_name><![CDATA[Baumsicht]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/treesta_importer/version/0.5.1/download/</download_url>
        <uploaded_by><![CDATA[baumsicht]]></uploaded_by>
        <create_date>2025-05-16T07:06:15.253607+00:00</create_date>
        <update_date>2026-04-10T12:21:13.467918+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/baumsicht/Treesta_Importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/baumsicht/Treesta_Importer]]></repository>
        <tags><![CDATA[Export,Import,Treesta,Baumkataster,Baumsicht,Daten]]></tags>
        <downloads>541</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Calculation of Arrival Time" version="1.11.0" plugin_id="3885">
        <description><![CDATA[Fire brigade response time analysis]]></description>
        <about><![CDATA[Plugin for analyzing fire brigade response times. Includes estimating arrival time from existing stations, creating vector layers of response-time routes, and analyzing response times for all stations considering different fire ranks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Moroz-Froze/arrivel-time-calculator]]></homepage>
        <file_name>arrivel_time_calculator.1.11.0.zip</file_name>
        <icon>/media/packages/2025/icon_ZNew0FN.png</icon>
        <author_name><![CDATA[Morozov V.V., Malyutin O.S.,Shamsudinov G.Yu.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arrivel_time_calculator/version/1.11.0/download/</download_url>
        <uploaded_by><![CDATA[meslash]]></uploaded_by>
        <create_date>2025-05-19T04:53:22.198224+00:00</create_date>
        <update_date>2025-10-29T05:17:56.828406+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Moroz-Froze/arrivel-time-calculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Moroz-Froze/arrivel-time-calculator]]></repository>
        <tags><![CDATA[time,analysis,fire,emergency,firefighting,response]]></tags>
        <downloads>965</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="emiTools" version="0.7" plugin_id="3886">
        <description><![CDATA[Collection of auxiliary tools for processing and exporting geospatial data from drone surveys]]></description>
        <about><![CDATA[This plugin provides a collection of auxiliary tools aimed at supporting the preparation of technical and environmental reports.

Included functionalities:
- Import of EXIF metadata and XMP tags from DJI drone photos;
- Export photos in batch to a folder;
- Export of KML files compatible with DJI Pilot;
- Insertion of informative stamps on photo (date, time, coordinates, etc.);
- Conversion and compression of vector data for export and sharing;
- Aggregates features by a selected field, with an optional limit on the number of features per group.
- Adds custom user functions to the Field Calculator for validating CPF and CNPJ numbers, formatting titles, proper names, numbers and more.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alexandreparente/emiTools]]></homepage>
        <file_name>emi_tools.0.7.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Alexandre Parente Lima]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/emi_tools/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[alexandreparente]]></uploaded_by>
        <create_date>2025-05-19T12:40:41.581966+00:00</create_date>
        <update_date>2026-02-04T17:48:18.778269+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alexandreparente/emiTools/issues]]></tracker>
        <repository><![CDATA[https://github.com/alexandreparente/emiTools]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>768</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Treesta Crown Visualizer" version="0.1.3" plugin_id="3887">
        <description><![CDATA[This tool generates crown polygons based on directional crown radii (N, E, S, W). If features are selected, only those will be processed.]]></description>
        <about><![CDATA[Generates realistic crown polygons based on directional crown radii stored in tree point data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://treesta.net/plugin-crownvisualizer/]]></homepage>
        <file_name>treesta_crown_visualizer.0.1.3.zip</file_name>
        <icon>/media/packages/2026/cv.jpeg</icon>
        <author_name><![CDATA[Baumsicht]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/treesta_crown_visualizer/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[baumsicht]]></uploaded_by>
        <create_date>2025-05-20T08:36:03.728363+00:00</create_date>
        <update_date>2026-01-19T08:24:37.276410+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/baumsicht/crown_visualizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/baumsicht/crown_visualizer]]></repository>
        <tags><![CDATA[canopy,Treesta,Baumsicht,tree cadastre,Tree,crown,tree inventory]]></tags>
        <downloads>1025</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QarcConnect3" version="0.9" plugin_id="3889">
        <description><![CDATA[A plugin to make ArcGIS Services more accessible for QGIS users]]></description>
        <about><![CDATA[QarcConnect enables you to list all your Feature Services as well as Map Services from ArcGIS online and add them to your current project. No need to manually store them anymore.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/riccardoklinger/QarcConnect]]></homepage>
        <file_name>qarcconnect3.0.9.zip</file_name>
        <icon>/media/packages/2025/QarcConnect.svg</icon>
        <author_name><![CDATA[Riccardo Klinger]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qarcconnect3/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[riccardoklinger]]></uploaded_by>
        <create_date>2025-05-20T21:24:05.635816+00:00</create_date>
        <update_date>2025-05-20T21:24:13.098262+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/riccardoklinger/QarcConnect/issues]]></tracker>
        <repository><![CDATA[https://github.com/riccardoklinger/QarcConnect]]></repository>
        <tags><![CDATA[mapserver,arcgis,agol,featureserver]]></tags>
        <downloads>1156</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Treesta QueryBuilder" version="0.3.0" plugin_id="3890">
        <description><![CDATA[Create dynamic filters from attribute values and aliases]]></description>
        <about><![CDATA[This plugin helps users to create dynamic QGIS filter expressions based on field values and aliases.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://treesta.net/plugin-querybuilder/]]></homepage>
        <file_name>treesta_querybuilder.0.3.0.zip</file_name>
        <icon>/media/packages/2025/screenshot.jpg</icon>
        <author_name><![CDATA[Baumsicht]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/treesta_querybuilder/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[baumsicht]]></uploaded_by>
        <create_date>2025-05-21T07:45:28.061180+00:00</create_date>
        <update_date>2025-05-21T11:26:27.419450+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/baumsicht/query_builder/issues]]></tracker>
        <repository><![CDATA[https://github.com/baumsicht/query_builder]]></repository>
        <tags><![CDATA[layer,filter,query,builder,assistant]]></tags>
        <downloads>536</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Settings Cleaner" version="1.1.0" plugin_id="3891">
        <description><![CDATA[Simple plugin that clears all QGIS settings and closes the application for a fresh restart.]]></description>
        <about><![CDATA[This plugin allows users to clean up and remove all QGIS configuration settings from the local machine. It deletes settings related to language, proxy, CRS, database connections, WFS/WMS, XYZ tiles, and all other saved QGIS preferences. This is useful for resetting QGIS to its default state or preparing an environment for clean deployment or testing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/grbalmeida/qgis-settings-cleaner]]></homepage>
        <file_name>qgis_settings_cleaner.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_xNjI1jx.png</icon>
        <author_name><![CDATA[Gilvan Ribeiro de Almeida]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_settings_cleaner/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[grbalmeida]]></uploaded_by>
        <create_date>2025-05-22T01:16:53.720940+00:00</create_date>
        <update_date>2026-02-27T17:50:22.988695+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/grbalmeida/qgis-settings-cleaner/issues]]></tracker>
        <repository><![CDATA[https://github.com/grbalmeida/qgis-settings-cleaner]]></repository>
        <tags><![CDATA[settings,configuration,qgis,reset,cleanup]]></tags>
        <downloads>1289</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Generator kafli dla C-GeoPortal" version="1.0.1" plugin_id="3892">
        <description><![CDATA[Wtyczka generuje pakiet kafli na podstawie treści mapy]]></description>
        <about><![CDATA[Wtyczka generuje pakiet kafli na podstawie treści mapy, wykorzystując wybrane warstwy wektorowe załadowane w projekcie. Wynikiem jest pojedynczy plik zawierający parametry zasięgu oraz wszystkie obrazy kafli. Pozwala to na łatwe przenoszenie i wykorzystanie mapy w innych aplikacjach. Wtyczka jest przydatna do tworzenia samodzielnych pakietów mapowych offline lub do integracji z systemami wymagającymi osadzonych danych kafelkowych, m.in. C-GeoPortal (www.c-geoportal.pl).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Przemek2829/tiles_generator]]></homepage>
        <file_name>tiles_generator.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_RVB1uXN.png</icon>
        <author_name><![CDATA[GIS Mates]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tiles_generator/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[przemek2829]]></uploaded_by>
        <create_date>2025-05-22T19:09:14.340929+00:00</create_date>
        <update_date>2025-05-28T08:06:13.074604+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Przemek2829/tiles_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Przemek2829/tiles_generator]]></repository>
        <tags><![CDATA[tiles,c-geoportal]]></tags>
        <downloads>692</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Flight Calculator" version="1.0" plugin_id="3893">
        <description><![CDATA[This plugin calculates the distance, time take and estimated fuel burn for a line dataset.]]></description>
        <about><![CDATA[This plugin adds a Processing provider and an algorithm to calculate the distance, time and fuel costs of a flight from a to b.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/eleeld/Flight-Route-Calculator-Plugin]]></homepage>
        <file_name>flight_calculator_plugin.1.0.zip</file_name>
        <icon>/media/packages/2025/flight_calculator_icon_2bI25hj.svg</icon>
        <author_name><![CDATA[Elena Field - British Antarctic Survey]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flight_calculator_plugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[efield]]></uploaded_by>
        <create_date>2025-05-23T09:37:10.740919+00:00</create_date>
        <update_date>2025-06-18T10:29:32.378480+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eleeld/Spot-Height-Extractor-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/eleeld/Flight-Route-Calculator-Plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>890</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SlopeLayerCreate" version="1.2" plugin_id="3894">
        <description><![CDATA[Based on the line layer, create a slope layer from the elevation of the DEM raster layer.]]></description>
        <about><![CDATA[Based on the line layer, create a slope layer from the elevation of the DEM raster layer. Divide the input line layer shapes at specified intervals (meters) and calculate the slope percentage from the elevations at both ends of the line shapes, then set it.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hrko9gis/SlopeLayerCreate]]></homepage>
        <file_name>SlopeLayerCreate.1.2.zip</file_name>
        <icon>/media/packages/2025/SlopeLayer_v3fBGFW.png</icon>
        <author_name><![CDATA[Kohei Hara]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SlopeLayerCreate/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[hrko9gis]]></uploaded_by>
        <create_date>2025-05-25T06:46:10.075038+00:00</create_date>
        <update_date>2025-07-06T18:23:18.857333+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hrko9gis/SlopeLayerCreate/issues]]></tracker>
        <repository><![CDATA[https://github.com/hrko9gis/SlopeLayerCreate]]></repository>
        <tags><![CDATA[line,dem,slope,elevation]]></tags>
        <downloads>2187</downloads>
        <average_vote>3.799240151969606</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AutoUpdateTAXREF" version="1.0.1" plugin_id="3899">
        <description><![CDATA[Plugin QGIS pour la mise à jour automatique des espèces et statuts via l&#x27;API TAXREF de l&#x27;INPN]]></description>
        <about><![CDATA[AutoUpdateTAXREF est un plugin QGIS qui permet d&#x27;automatiser la mise à jour des espèces et de leurs statuts directement depuis l&#x27;API TAXREF fournie par l&#x27;INPN. Ce plugin simplifie la mise à jour des espèces et de leurs statuts dans des projets QGIS comme QBiome, QFlore, QFaune ou tout autre projet QField naturaliste.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ElisaFage/AutoUpdateTAXREF.git]]></homepage>
        <file_name>AutoUpdateTAXREF.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_jDewqjp.png</icon>
        <author_name><![CDATA[É. FAGE, C. ALLÉNÉ]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AutoUpdateTAXREF/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[elisafage]]></uploaded_by>
        <create_date>2025-05-25T21:29:24.476952+00:00</create_date>
        <update_date>2025-06-15T18:22:21.518428+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ElisaFage/AutoUpdateTAXREF/issues]]></tracker>
        <repository><![CDATA[https://github.com/ElisaFage/AutoUpdateTAXREF.git]]></repository>
        <tags><![CDATA[python,qfield naturaliste,taxref]]></tags>
        <downloads>1649</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SELCA (Socio-Economic and Land Cover Analysis)" version="1.0" plugin_id="3901">
        <description><![CDATA[This plugin analyzes the correlation between land cover changes and dependent variables such as population and GDRP, and provides probabilistic estimating of future land cover patterns.]]></description>
        <about><![CDATA[This plugin analyzes the correlation between land cover changes and socio-economic variables such as population and GDRP. It includes tools for city trend analysis, global spatial pattern analysis, cluster and outlier detection, estimating land cover future, and economic sector specialization. Designed for integrated spatial analysis, the plugin helps users explore how landscape dynamics relate to development patterns.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tabitotnrt/SELCA-Plugin-QGIS/tree/main]]></homepage>
        <file_name>SELCA_Plugin.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_4QT5Hn5.png</icon>
        <author_name><![CDATA[Albertus Deliar, Riantini Vitriana, Bambang Setiadji, Tabito Tantarto, Fidella Anindya Kirana, Shanice Putrima Akia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SELCA_Plugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[tabitotnrt]]></uploaded_by>
        <create_date>2025-05-26T11:15:39.242140+00:00</create_date>
        <update_date>2025-05-27T08:38:11.318687+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tabitotnrt/SELCA-Plugin-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/tabitotnrt/SELCA-Plugin-QGIS/tree/main/SELCA-Plugin]]></repository>
        <tags><![CDATA[analysis,landcover,population,estimation,gdrp]]></tags>
        <downloads>888</downloads>
        <average_vote>4.999782618147036</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="oswege_tools" version="1.3" plugin_id="3902">
        <description><![CDATA[Eine Werkzeugsammlung für die Gewässerdatenverwaltung von Wasser- und Bodenverbänden / A collection of QGIS tools for the management of river geodata of German water and soil associations]]></description>
        <about><![CDATA[Folgende Funktionen sind zur Zeit verfügbar: Abfrage der Stationierung von Gewässerlinien, Prüfroutine Gewässerlinien (Verarbeitungswerkzeug), fg_ae-Abschnitte erstellen   /   The following functions are currently available: Query of the stationing of watercourse lines, check routine watercourse data (processing tool), create fg_ae sections

Dieses Plugin wurde/wird entwickelt im Rahmen des Projekts OSWeGe, (gefördert durch das BMUV, Förderkennzeichen 67DAS263)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oswege.auf.uni-rostock.de/default.aspx]]></homepage>
        <file_name>OSWeGe_Tools.1.3.zip</file_name>
        <icon>/media/packages/2025/icon_FDY4Qsq.png</icon>
        <author_name><![CDATA[Jannik Schilling]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OSWeGe_Tools/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[jannikschilling]]></uploaded_by>
        <create_date>2025-05-26T15:17:02.720346+00:00</create_date>
        <update_date>2025-08-07T12:45:38.773906+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Jannik-Schilling/OSWeGe_Tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/Jannik-Schilling/OSWeGe_Tools]]></repository>
        <tags><![CDATA[water,linear referencing,river,data quality]]></tags>
        <downloads>1187</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Zonal Line Length" version="0.20250528" plugin_id="3903">
        <description><![CDATA[This plugin calculate line length within polygon.]]></description>
        <about><![CDATA[This plugin accurately calculates the length of lines contained within each polygon. The calculated distance depends on the coordinate reference system (CRS) of the input layer. To get accurate distances, it is recommended to use a projected coordinate system in meters.&lt;br&gt;Even if a line spans multiple polygons, the line is split at the polygon boundaries so that the length is not calculated twice. However, if the line completely coincides with the polygon boundary (for example, if it overlaps exactly along the boundary), the line may not be processed correctly. This is due to the specifications of the geometry intersection test and split processing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SandaTakeru/ZonalLineLength]]></homepage>
        <file_name>ZonalLineLength.0.20250528.zip</file_name>
        <icon>/media/packages/2025/icon_XtgljWn.jpeg</icon>
        <author_name><![CDATA[Sanda Takeru]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ZonalLineLength/version/0.20250528/download/</download_url>
        <uploaded_by><![CDATA[sandatakeru]]></uploaded_by>
        <create_date>2025-05-27T02:50:36.640695+00:00</create_date>
        <update_date>2025-05-28T02:01:47.165333+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SandaTakeru/ZonalLineLength/issues]]></tracker>
        <repository><![CDATA[https://github.com/SandaTakeru/ZonalLineLength]]></repository>
        <tags><![CDATA[polygon,line]]></tags>
        <downloads>1182</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Visible Layers" version="1.3.2" plugin_id="3905">
        <description><![CDATA[Quickly filter and display only the visible layers in your project.]]></description>
        <about><![CDATA[This plugin adds a toggleable panel to display only the currently visible layers, offering easier access and layer navigation. Access it directly from the Layers panel.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/francoisbl/visible_layers]]></homepage>
        <file_name>visible_layers.1.3.2.zip</file_name>
        <icon>/media/packages/2026/icon_SbW0BJy.png</icon>
        <author_name><![CDATA[François Blanchard]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/visible_layers/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[francoisbl]]></uploaded_by>
        <create_date>2025-05-28T00:26:24.877642+00:00</create_date>
        <update_date>2026-04-09T13:09:18.753500+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/francoisbl/visible_layers/issues]]></tracker>
        <repository><![CDATA[https://github.com/francoisbl/visible_layers]]></repository>
        <tags><![CDATA[toggle,visibility,productivity,layers,dock,navigation,interface]]></tags>
        <downloads>4632</downloads>
        <average_vote>4.610854952502638</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Poliscope Plugin" version="1.0.4" plugin_id="3906">
        <description><![CDATA[KI-basiertes Crawling von Ratsinformationssystemen der 5.000+ Planungsträger optimiert Ihre Flächensicherung und verschafft den Wissensvorsprung am Erneuerbare Energie - Markt.]]></description>
        <about><![CDATA[Die zentrale Sammlung planungsrechtlicher Beschlüsse für Onshore-Wind &amp; PV KI-basiertes Crawling von Ratsinformationssystemen der 5.000+ Planungsträger optimiert Ihre Flächensicherung und verschafft den Wissensvorsprung am Erneuerbare Energie - Markt.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://app.poliscope.de/public/leistungen/qgis-plugin]]></homepage>
        <file_name>poliscope_qgis_plugin.1.0.4.zip</file_name>
        <icon>/media/packages/2025/logo_5RO5CIE.png</icon>
        <author_name><![CDATA[Poliscope GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/poliscope_qgis_plugin/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[koljamartens]]></uploaded_by>
        <create_date>2025-05-28T08:10:57.738024+00:00</create_date>
        <update_date>2025-12-10T10:01:48.418379+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/poliscope-de/poliscope-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/poliscope-de/poliscope-qgis-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>810</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="dbpRisk 2.0" version="0.3" plugin_id="3909">
        <description><![CDATA[This plugin created for the IntoDBP project.]]></description>
        <about><![CDATA[dbpRisk 2.0 is a QGIS plugin designed to simulate and assess the formation of disinfection by-products (DBPs) in drinking water distribution networks. It performs simulation experiments using EPANET-MSX files to model chemical reactions under various conditions and uncertainties. The plugin enables users to evaluate how different parameters influence DBP formation, offering insight into water quality dynamics. By integrating these simulations into the QGIS environment, dbpRisk 2.0 allows for spatially-informed risk analysis, helping decision-makers and researchers visualize, predict, and manage DBP-related risks more effectively.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/KIOS-Research/dbpRisk-2.0]]></homepage>
        <file_name>dbpRisk2.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_BzFhOQW.png</icon>
        <author_name><![CDATA[Smart Water Systems Team, KIOS Research and Innovation Center of Excellence, University of Cyprus]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dbpRisk2/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
        <create_date>2025-05-28T13:12:58.686061+00:00</create_date>
        <update_date>2025-10-23T18:08:40.817927+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KIOS-Research/dbpRisk-2.0/issues]]></tracker>
        <repository><![CDATA[https://github.com/KIOS-Research/dbpRisk-2.0]]></repository>
        <tags><![CDATA[python,water,epanet,intodbp,dbp,epanetmsx]]></tags>
        <downloads>897</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Map Elevation Maker" version="1.0" plugin_id="3910">
        <description><![CDATA[Create contours and shadings for hiking maps - to be used as base layer for QuickOSM presets]]></description>
        <about><![CDATA[This plugin is designed to produce the contour lines and shading for hiking maps starting from raster DEM.
Preset styles are designed to work with QuickOSM presets to generate maps useful for hiking or boy scout activities.

Leave QGIS a little better than you found it]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Huntani/Map-Elev-Maker]]></homepage>
        <file_name>Map_Elev_Maker.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Alberto Bianco]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Map_Elev_Maker/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[huntani]]></uploaded_by>
        <create_date>2025-05-28T14:05:07.612883+00:00</create_date>
        <update_date>2025-05-28T14:05:09.867538+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Huntani/Map-Elev-Maker/issues]]></tracker>
        <repository><![CDATA[https://github.com/Huntani/Map-Elev-Maker]]></repository>
        <tags><![CDATA[python,dem,hillshade,contour]]></tags>
        <downloads>9947</downloads>
        <average_vote>4.136175628380528</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Topografía" version="1.1a" plugin_id="3912">
        <description><![CDATA[Plugin con herramientas para cálculos topográficos avanzados, incluyendo cálculo de azimuts, rumbos, distancias, áreas y generación de reportes.]]></description>
        <about><![CDATA[Este plugin proporciona herramientas profesionales para cálculos topográficos en QGIS, incluyendo análisis de líneas y polígonos con múltiples opciones de exportación.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Hikuritamete/Topografia]]></homepage>
        <file_name>Topografia.1.1a.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Omar Ruelas Santa Cruz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Topografia/version/1.1a/download/</download_url>
        <uploaded_by><![CDATA[omarruelas]]></uploaded_by>
        <create_date>2025-05-29T18:07:09.503372+00:00</create_date>
        <update_date>2025-05-29T18:07:11.586481+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Hikuritamete/Topografia/issues]]></tracker>
        <repository><![CDATA[https://github.com/Hikuritamete/Topografia]]></repository>
        <tags><![CDATA[topography,area,bearing,azimut,topografía,distancia,rumbo,cálculos,área]]></tags>
        <downloads>3760</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenStaR-DT" version="0.1.1" plugin_id="3914">
        <description><![CDATA[Charge un GML au format StaR-DT, applique style et organise en groupe]]></description>
        <about><![CDATA[Cette extension permet de charger les données de réponses DT-DICT au format GML StaR-DT afin de les visualiser dans QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://camillechevrier.fr]]></homepage>
        <file_name>OpenStaR_DT.0.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_openstardt_RgqNkHf.svg</icon>
        <author_name><![CDATA[Camille CHEVRIER]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OpenStaR_DT/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[camillec]]></uploaded_by>
        <create_date>2025-05-30T15:26:07.921950+00:00</create_date>
        <update_date>2026-02-18T23:27:32.272263+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cchevrier85/openstar-dt/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cchevrier85/openstar-dt]]></repository>
        <tags><![CDATA[python,network,dt-dict,star-dt,star-elec]]></tags>
        <downloads>738</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Flyout Docks" version="1.2.1" plugin_id="3915">
        <description><![CDATA[Enables all dock widgets to be shown or hidden with the click of a button]]></description>
        <about><![CDATA[Displays a named button for each dock widget, allowing the user to show or hide each in turn]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/millsapjohn/qgis_flyoutdocks]]></homepage>
        <file_name>FlyoutDocks.1.2.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[John Millsap]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FlyoutDocks/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[millsapjohn]]></uploaded_by>
        <create_date>2025-05-30T18:22:20.397927+00:00</create_date>
        <update_date>2026-03-10T16:24:21.092892+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/millsapjohn/qgis_flyoutdocks/issues]]></tracker>
        <repository><![CDATA[https://github.com/millsapjohn/qgis_flyoutdocks]]></repository>
        <tags><![CDATA[customization,interface,ui]]></tags>
        <downloads>1032</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="XLSForm Converter" version="v1.5.1" plugin_id="3917">
        <description><![CDATA[Converts an XLSForm file into a QGIS project with prepared layers and feature forms.]]></description>
        <about><![CDATA[XLSForm is a form standard created to help simplify the authoring of forms using a spreadsheet program such as LibreOffice Calc or Microsoft Excel. They are simple to get started with but allow for the authoring of complex forms by someone familiar with the syntax.

The plugin algorithm converts a XLSForm file into a QGIS project containing a survey layer with a feature form reflecting the authored form. This can facilitate the creation of complex feature forms through a simple, well-known format.

An option to upload the generated project directly to QFieldCloud facilitates its deployment to QField, an open-source fieldwork app for geospatial data collection built on top of QGIS. A deployment through QFieldCloud enables multiple collaborators to seamlessly work on the same survey layer. This option works alongside the QFieldSync plugin.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/XLSFormConverter]]></homepage>
        <file_name>xlsformconverter.v1.5.1.zip</file_name>
        <icon>/media/packages/2026/icon_69Pq6So.svg</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xlsformconverter/version/v1.5.1/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2025-05-31T07:28:25.902802+00:00</create_date>
        <update_date>2026-03-12T03:15:05.754096+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/XLSFormConverter]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/XLSFormConverter]]></repository>
        <tags><![CDATA[cloud,survey,qfield,qfieldcloud,form,xlsform]]></tags>
        <downloads>3744</downloads>
        <average_vote>4.999615414198908</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Export 2KML" version="1.0.2" plugin_id="3918">
        <description><![CDATA[Batch‐export vector and raster layers into a single KML or KMZ with QGIS styling. Part of MAS Vector Processing tools.]]></description>
        <about><![CDATA[Export 2KML lets you pick any combination of vector and raster layers (with QGIS styling) and generate a single KML (if only vectors) or KMZ (if rasters are involved). Rasters are rendered into opaque PNG overlays so Google Earth will show them properly.

📋 How to Use:
1. Install the plugin from QGIS Plugin Manager or ZIP file
2. Add your vector/raster layers to QGIS and apply desired symbology
3. Access the tool via:
• Toolbar: &quot;MAS Vector Processing&quot; toolbar icon
• Menu: Vector → MAS Vector Processing → Export 2KML...
• Right-click: Select layers in Layer Panel → Export Selected to KML
4. Configure export options:
• Select layers to export (checkbox column)
• Set Fill Mode per layer (Auto/Fill/Hollow)
• Right-click layer rows for per-layer settings (Transparency, Stroke Scale, Labels)
• Enable &quot;Render as Image&quot; for pattern/complex symbology
• Map KML properties (Name, Description, etc.) to layer fields
5. Choose output location (KML for vectors only, KMZ for rasters/images)
6. Click Export and open in Google Earth!

⭐ If this plugin helps you, please rate it on the Plugin Repository!
📧 Feedback/Requests: mastools.help@gmail.com
** MAS refers to &quot;Mirjan Ali Sha&quot;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/export2kml/wiki]]></homepage>
        <file_name>export2kml.1.0.2.zip</file_name>
        <icon>/media/packages/2026/export2kml_p9MEe2T.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/export2kml/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2025-05-31T20:14:44.834584+00:00</create_date>
        <update_date>2026-01-31T17:04:28.134619+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/export2kml/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/export2kml]]></repository>
        <tags><![CDATA[vector,raster,kmz,export,kml,style,google earth,plugin,qgis,symbology]]></tags>
        <downloads>19769</downloads>
        <average_vote>4.305435960112219</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Gif Clicker" version="0.2.1" plugin_id="3921">
        <description><![CDATA[Select GIFs to play when you click on the canvas with different map tools]]></description>
        <about><![CDATA[Select GIFs to play when you click on the canvas with the Pan Map tool. Select one of 3 available GIFs or add your own.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bogind/QgisGifClicker]]></homepage>
        <file_name>gif_clicker.0.2.1.zip</file_name>
        <icon>/media/packages/2025/qgs_gifs_icon_bIhyGdq.png</icon>
        <author_name><![CDATA[Dror Bogin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gif_clicker/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[bogind]]></uploaded_by>
        <create_date>2025-06-02T12:50:38.405556+00:00</create_date>
        <update_date>2025-06-15T06:50:11.516573+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bogind/QgisGifClicker/issues]]></tracker>
        <repository><![CDATA[https://github.com/bogind/QgisGifClicker]]></repository>
        <tags><![CDATA[silly,gif,gifs,map tools]]></tags>
        <downloads>642</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Atlas-Gittergenerator" version="1.4.0" plugin_id="3922">
        <description><![CDATA[Creates regular grids for atlas layouts based on scale and layout format. Optionally, grids can be generated only for selected features.]]></description>
        <about><![CDATA[Atlas Grid Generator is a QGIS plugin designed to create regular grid layers for atlas-based map production. It allows users to generate grids based on map scale and layout format, ensuring consistent and precise coverage.

The plugin supports both full-layer processing and grid creation limited to selected features. It automatically handles geographic (non-metric) coordinate systems by applying an appropriate projected CRS during processing and returning results in the original CRS.

Key features:
- Grid generation based on map scale and layout size
- Optional processing of selected features only
- Automatic CRS handling for non-metric layers
- Support for multiple paper formats and custom dimensions
- Multi-language user interface (English / German)

---

Der Atlas-Gittergenerator ist ein QGIS-Plugin zur Erstellung regelmäßiger Gitter für Atlas-basierte Kartenproduktionen. Es ermöglicht die Generierung von Gittern basierend auf Maßstab und Layoutformat und sorgt für eine konsistente und präzise Abdeckung.

Das Plugin unterstützt sowohl die Verarbeitung ganzer Layer als auch die Erstellung von Gittern nur für ausgewählte Objekte. Geografische (nicht-metrische) Koordinatensysteme werden automatisch in ein geeignetes projiziertes CRS umgewandelt und anschließend wieder zurücktransformiert.

Hauptfunktionen:
- Gittererstellung basierend auf Maßstab und Layoutgröße
- Optionale Verarbeitung nur ausgewählter Objekte
- Automatische CRS-Behandlung für nicht-metrische Layer
- Unterstützung verschiedener Papierformate und benutzerdefinierter Größen
- Mehrsprachige Benutzeroberfläche (Englisch / Deutsch)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Senolbaskaya/atlas_gittergenerator]]></homepage>
        <file_name>atlas_gittergenerator.1.4.0.zip</file_name>
        <icon>/media/packages/2026/icon_TR4nF2f.png</icon>
        <author_name><![CDATA[Senol Baskaya]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/atlas_gittergenerator/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[senolbaskaya]]></uploaded_by>
        <create_date>2025-06-02T18:45:40.449388+00:00</create_date>
        <update_date>2026-03-29T22:40:29.784623+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Senolbaskaya/atlas_gittergenerator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Senolbaskaya/atlas_gittergenerator]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2551</downloads>
        <average_vote>4.999666688887408</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="XYZ Tiles Basemap Loader" version="0.1" plugin_id="3923">
        <description><![CDATA[Quickly load multiple open-source basemaps as XYZ tiles with one click. Includes popular sources like OSM, Google, Bing, and more]]></description>
        <about><![CDATA[XYZ Tiles Basemap Loader is a lightweight and user-friendly QGIS plugin that allows you to instantly load multiple open-source basemaps as XYZ tile layers with just one click. Whether you&#x27;re working with satellite imagery, street maps, or terrain data, this plugin provides a ready-to-use library of popular basemaps—no manual configuration required.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnustupJana/xyzTilesBasemapLoader-plugin/#readme]]></homepage>
        <file_name>xyz_tiles_basemap_loader.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_Ozchdkr.png</icon>
        <author_name><![CDATA[Anustup Jana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xyz_tiles_basemap_loader/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[anustup]]></uploaded_by>
        <create_date>2025-06-02T20:39:01.302236+00:00</create_date>
        <update_date>2025-06-02T20:39:04.465794+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnustupJana/xyzTilesBasemapLoader-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnustupJana/xyzTilesBasemapLoader-plugin]]></repository>
        <tags><![CDATA[python,raster,web,openlayers,search,openstreetmap,osm,tiles,topography,webservice,streetview]]></tags>
        <downloads>40512</downloads>
        <average_vote>4.355858375281775</average_vote>
        <rating_votes>59</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Topomine" version="0.1.1" plugin_id="3926">
        <description><![CDATA[Topomine plugin allows searching through French toponyms]]></description>
        <about><![CDATA[Topomine allows to explore and visualise data related to toponymy in France from various databases,
including some IGN (French Mapping Agency) databases, FANTOIR database, SANDRE database and
Cassini database (EHESS).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://doc.ptm.huma-num.fr/topomine/]]></homepage>
        <file_name>topomine.0.1.1.zip</file_name>
        <icon>/media/packages/2025/logo-topomine-pioche-128-corner_gGhVdTr.svg</icon>
        <author_name><![CDATA[Eric Grosso (PTM), Eric Mermet (CNRS, PTM)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/topomine/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[egrosso]]></uploaded_by>
        <create_date>2025-06-03T15:38:30.703001+00:00</create_date>
        <update_date>2025-06-11T14:05:12.205284+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/paristimemachine/ptm4qgis-topomine/issues/]]></tracker>
        <repository><![CDATA[https://github.com/paristimemachine/ptm4qgis-topomine/]]></repository>
        <tags><![CDATA[search,database,processing,france,ptm,topomine,toponymy]]></tags>
        <downloads>1038</downloads>
        <average_vote>4.2995700429957004</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Title Plotter PH" version="2.0.0" plugin_id="3928">
        <description><![CDATA[Plugin for plotting Philippine land titles from technical descriptions]]></description>
        <about><![CDATA[Title Plotter helps non-surveyors and professionals plot lots using bearing and distance, based on tie points. Designed to work with Philippine titles. Requires no GIS background.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://isaacenage.xyz/Tools/titleplotterph]]></homepage>
        <file_name>titleplotter.2.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_c6s1ZSG.png</icon>
        <author_name><![CDATA[Isaac Enage]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/titleplotter/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[isaacenage0501]]></uploaded_by>
        <create_date>2025-06-03T17:50:53.853578+00:00</create_date>
        <update_date>2026-01-24T14:12:57.486515+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://isaacenage.xyz/Tools/titleplotterph]]></tracker>
        <repository><![CDATA[https://github.com/isaacenage/TitlePlotterPH]]></repository>
        <tags><![CDATA[distance,polygon,geometry,survey,bearing,land,qgis,title,ai,llm,philippine,plotter]]></tags>
        <downloads>3820</downloads>
        <average_vote>4.304310397300893</average_vote>
        <rating_votes>115</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Blaster" version="2.3.0" plugin_id="3929">
        <description><![CDATA[Speed up georeferencing processing using GDAL and full system resources.]]></description>
        <about><![CDATA[QGIS plugin that streamlines your raster georeferencing workflow by embedding GDAL&#x27;s powerful command-line tools directly into the Georeferencer interface and utilising your system&#x27;s available resources. It adds buttons for every step—from reading your GCPs through to generating Cloud-Optimized GeoTIFFs (COGs)—all without ever leaving QGIS. Features include background processing, user-selectable CRS, GCP validation warnings, and persistent settings. Compatible with QGIS 3.x and 4.x (Qt5 and Qt6).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/harryspacefromspace/rasterblaster]]></homepage>
        <file_name>rasterblaster.2.3.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Harry Stranger]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rasterblaster/version/2.3.0/download/</download_url>
        <uploaded_by><![CDATA[harrystranger]]></uploaded_by>
        <create_date>2025-06-04T12:00:10.981531+00:00</create_date>
        <update_date>2026-03-11T01:23:57.405948+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/harryspacefromspace/rasterblaster/issues]]></tracker>
        <repository><![CDATA[https://github.com/harryspacefromspace/rasterblaster]]></repository>
        <tags><![CDATA[raster,gdal,georeferencing,geotiff,vrt,cog,qt6,cloud optimized]]></tags>
        <downloads>4060</downloads>
        <average_vote>4.999666688887408</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Zornade Italian Parcel Downloader" version="3.0.0" plugin_id="3930">
        <description><![CDATA[Download enriched Italian cadastral parcels with 90+ attribute fields including terrain, population, buildings, economics, demographics, land cover, land use, valuation, coastal erosion, cultural heritage and POI data via the free Zornade API v2.4.]]></description>
        <about><![CDATA[Professional QGIS plugin to download enriched Italian cadastral parcels via the free Zornade API v2.4 (100% free, 1,000 req/hour). Search by GPS coordinates, map canvas bounding box (adaptive quadtree subdivision), or cadastral reference (fuzzy municipality name, sheet, parcel, section). Each parcel includes 90+ attribute fields across 17 data sections: accurate geometry (Polygon/MultiPolygon), CORINE land cover classification, Urban Atlas land use, seismic zone (1–4), PGA, flood and landslide risk, subsidence analysis (velocity, acceleration, risk class, direction, trend), terrain (elevation, slope, aspect, ruggedness), population estimates (WorldPop/dasymetric), building footprints, economics (average income, Gini index, affordability PIR, income brackets), demographics (census 2021: age, education, employment, foreigners, households, dwellings), OMI real estate valuation (purchase and rental ranges with previous semester), coastal erosion, cultural heritage (MiBACT), Foursquare POI. Sketching: categorized renderer for CORINE land cover (5 Level-1 classes), seismic zone (4 classes), and subsidence risk (5 classes). Scale-dependent labeling. Default search by map canvas bbox. Native Qt6 interface with geocoding, map picking, async download via QgsTask with retry logic. Free API tokens at app.zornade.com.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://zornade.com]]></homepage>
        <file_name>zornade_parcel_downloader.3.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_dRC1dow.png</icon>
        <author_name><![CDATA[Zornade]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/zornade_parcel_downloader/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[menimenocchio]]></uploaded_by>
        <create_date>2025-06-04T17:50:06.905216+00:00</create_date>
        <update_date>2026-04-16T11:56:13.119606+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/menimenocchio/zornade-parcel-downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/menimenocchio/zornade-parcel-downloader]]></repository>
        <tags><![CDATA[geocoding,risk,catasto,geometry,cadastral,download,gis,data,api,italy,parcel,land use,particella,zornade,real estate,free,rischio]]></tags>
        <downloads>1844</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Show_All_Layers_CRS" version="1.0" plugin_id="3932">
        <description><![CDATA[Open a pop up window with the list of all the layers with their CRS, name files, features count]]></description>
        <about><![CDATA[In a large project with a lot of layers, it helps to identify the layers with a wrong CRS which slow all the process. The contents of the pop-up window can be copied/pasted as a text.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jm-brabant/show_all_layers_crs]]></homepage>
        <file_name>Show_All_Layers_CRS.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_yJlql5C.png</icon>
        <author_name><![CDATA[Jean Marie BRABANT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Show_All_Layers_CRS/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[jimbee]]></uploaded_by>
        <create_date>2025-06-05T00:38:15.293564+00:00</create_date>
        <update_date>2025-06-05T00:38:18.634746+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jm-brabant/show_all_layers_crs/issues]]></tracker>
        <repository><![CDATA[https://github.com/jm-brabant/show_all_layers_crs]]></repository>
        <tags><![CDATA[layer,crs]]></tags>
        <downloads>735</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Round_Coordinates" version="1.0" plugin_id="3934">
        <description><![CDATA[Round all the coordinates of a polyline layer to the nearest metre, without decimals.]]></description>
        <about><![CDATA[Round all the coordinates of a polyline layer to the nearest metre, without decimals. Developped as part of Q-Traf, a macroscopic traffic program working with QGis]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jm-brabant/round_coordinates]]></homepage>
        <file_name>Round_Coordinates.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_g2nnfQB.png</icon>
        <author_name><![CDATA[Jean Marie BRABANT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Round_Coordinates/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[jimbee]]></uploaded_by>
        <create_date>2025-06-05T01:04:20.776583+00:00</create_date>
        <update_date>2025-06-05T01:04:23.255232+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jm-brabant/round_coordinates/issues]]></tracker>
        <repository><![CDATA[https://github.com/jm-brabant/round_coordinates]]></repository>
        <tags><![CDATA[coordinate,round,polyline layer]]></tags>
        <downloads>492</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickLabeling" version="1.1" plugin_id="3935">
        <description><![CDATA[QuickLabeling]]></description>
        <about><![CDATA[Quickly label features with a custom prefix and sequential numbering, either automatically or manually]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/EduardoAQGIS/QuickLabeling]]></homepage>
        <file_name>quicklabeling.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_fFPEsjt.png</icon>
        <author_name><![CDATA[Eduardo A]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quicklabeling/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[eduardoa]]></uploaded_by>
        <create_date>2025-06-05T05:08:10.064299+00:00</create_date>
        <update_date>2025-07-10T06:02:08.580100+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EduardoAQGIS/QuickLabeling/issues]]></tracker>
        <repository><![CDATA[https://github.com/EduardoAQGIS/QuickLabeling]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1334</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Grid Index" version="1.0" plugin_id="3940">
        <description><![CDATA[Creates a cartographically-aware grid index for map series and atlases with advanced labeling options.]]></description>
        <about><![CDATA[This plugin creates a highly customizable grid of rectangular polygons for map book and atlas page indexing. Supports vector (point, line, polygon) and raster data with both projected and geographic coordinate systems. Advanced labeling and numbering controls. Create custom-sized grids or override dimensions by specifying the number of rows and columns. Qt6 compatible.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Kapildev2019/Grid-Index]]></homepage>
        <file_name>grid_index.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_o7DSd9D.png</icon>
        <author_name><![CDATA[Kapildev Adhikari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/grid_index/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[7154]]></uploaded_by>
        <create_date>2025-06-07T11:52:38.294097+00:00</create_date>
        <update_date>2025-09-24T07:15:25.313739+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kapildev2019/Grid-Index/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kapildev2019/Grid-Index]]></repository>
        <tags><![CDATA[raster,atlas,labeling,processing,grid,index,cartography,map series,index feature,map index,page,qt6]]></tags>
        <downloads>2972</downloads>
        <average_vote>3.5451322607035727</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LayerDiffViewer" version="1.1.5" plugin_id="3941">
        <description><![CDATA[Visualize differences between geometries.]]></description>
        <about><![CDATA[This plugin allows you to compare two vector layers and visually highlight differences. It detects attribute changes, geometry changes, newly added features, and deleted features. Results are shown in a new memory layer with categorized colors for each change type.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-LayerDiffViewer]]></homepage>
        <file_name>LayerDiffViewer.1.1.5.zip</file_name>
        <icon>/media/packages/2026/icon_H7rEAsP.png</icon>
        <author_name><![CDATA[Rikuto Arita]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LayerDiffViewer/version/1.1.5/download/</download_url>
        <uploaded_by><![CDATA[panyoricomeha]]></uploaded_by>
        <create_date>2025-06-07T12:52:24.562287+00:00</create_date>
        <update_date>2026-04-07T09:32:40.029141+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-LayerDiffViewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-LayerDiffViewer.git]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1118</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QSurveyMapReport" version="1.1" plugin_id="3943">
        <description><![CDATA[The Exif information of the photo file is analyzed and output as CSV layer.]]></description>
        <about><![CDATA[QSurveyMapReport can analyze the Exif information in a photo file and output it as a CSV layer. It can also compile photo files and output them as a single pdf.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/onodera-g/QSurveyMapReport]]></homepage>
        <file_name>QSurveyMapReport.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_7hUVzN3.png</icon>
        <author_name><![CDATA[0nodera gaku]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QSurveyMapReport/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[0nodera]]></uploaded_by>
        <create_date>2025-06-07T17:46:49.328729+00:00</create_date>
        <update_date>2026-02-19T13:57:24.555355+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/onodera-g/QSurveyMapReport/issues]]></tracker>
        <repository><![CDATA[https://github.com/onodera-g/QSurveyMapReport]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1204</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Polygon Compare" version="0.1" plugin_id="3944">
        <description><![CDATA[Compares two polygon layers to find added, deleted and modified polygons by unique ID and geometry]]></description>
        <about><![CDATA[The Polygon Compare plugin is a robust tool for QGIS users to analyze changes between two vector polygon layers. By comparing a unique ID field and polygon geometries, it identifies added polygons (new features in the second layer), deleted polygons (features absent in the second layer), and modified polygons (features with the same ID but changed geometry). The plugin outputs three separate layers for easy visualization and analysis, making it invaluable for tasks like land use change detection, parcel compare, footprint compare, urban planning, environmental monitoring, or any GIS workflow tracking spatial updates. With error handling for invalid geometries and detailed processing feedback, Polygon Compare ensures reliable results. Simplify your change detection tasks with this intuitive and efficient plugin, designed to enhance spatial data analysis in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnustupJana/PolygonCompare-plugin/#readme]]></homepage>
        <file_name>polygon_compare.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_s78fUH7.png</icon>
        <author_name><![CDATA[Anustup Jana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/polygon_compare/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[anustup]]></uploaded_by>
        <create_date>2025-06-08T15:10:15.941221+00:00</create_date>
        <update_date>2025-06-08T15:10:18.822667+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnustupJana/PolygonCompare-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnustupJana/PolygonCompare-plugin]]></repository>
        <tags><![CDATA[vector,shapefile,attribute,analysis,polygon,geometry,processing,layers,change detection,urban planning,land use change,polygon comparison,gis analysis]]></tags>
        <downloads>1598</downloads>
        <average_vote>4.9995833680526625</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Drag and Drop CSV" version="1.2" plugin_id="3945">
        <description><![CDATA[Allows drag and drop of .csv and .csv.gz files into QGIS with instant editing]]></description>
        <about><![CDATA[This plugin allows users to drag and drop CSV and compressed CSV files (.csv.gz) directly into QGIS. The CSV opens as a temporary editable vector layer.
It now includes:
- Smarter data typing: strings stay strings; dates are parsed; numbers are recognized as integers or decimals.
- Reliable WKT loading: geometry loads correctly even when the layer CRS differs from the project CRS.
- Native CRS picker: choose CRS via the standard QGIS dialog.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/g2r4i6e8/DragDropCsv]]></homepage>
        <file_name>drag_drop_csv.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_8kDTa9Q.png</icon>
        <author_name><![CDATA[Andrey Kolomatskiy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/drag_drop_csv/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[g2r4i6e8]]></uploaded_by>
        <create_date>2025-06-09T15:10:54.535065+00:00</create_date>
        <update_date>2025-08-12T11:00:28.918810+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/g2r4i6e8/DragDropCsv/issues]]></tracker>
        <repository><![CDATA[https://github.com/g2r4i6e8/DragDropCsv]]></repository>
        <tags><![CDATA[wkt,geometry,crs,import,csv,epsg,drag and drop,gzip,datatypes]]></tags>
        <downloads>3381</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geosquare Grid" version="0.1.1" plugin_id="3950">
        <description><![CDATA[Easy to create GeoSquare Grid]]></description>
        <about><![CDATA[Geosquare Plugin for QGIS designed to seamlessly export vector and raster layers into Geosquare. This plugin simplifies the process of splitting geospatial data to GeoSquare for advanced analytics, visualization, and sharing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geosquare.ai]]></homepage>
        <file_name>geosquare_grid_qgis.0.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_HYcGeXO.png</icon>
        <author_name><![CDATA[PT Geo Inovasi Nusantara]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geosquare_grid_qgis/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[ridho]]></uploaded_by>
        <create_date>2025-06-12T19:27:23.866234+00:00</create_date>
        <update_date>2025-06-24T07:32:16.755032+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/petainid/geosquare_grid_qgis]]></tracker>
        <repository><![CDATA[https://github.com/petainid/geosquare_grid_qgis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>821</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Batch_Csv_Wkt_Importer_Fr" version="1.0" plugin_id="3954">
        <description><![CDATA[Import as many csv files with wkt line geometry, with a single click, provided the files are of the same known type. In this first version, the CRS is by default the CRS of the project, the first field is WKT geometry (and named WKT), and all the other fields are of integer type by default. If there are characters in the features, the corresponding field is of string type.]]></description>
        <about><![CDATA[US version uses comma as field separator. Fr version uses semicolon. Developped as part of Q-Traf, a macroscopic traffic program working with QGis. Feel free to modify the file batch_csv_wkt_importer.py to your convenance.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jm-brabant/Batch_Csv_Wkt_Importer_Fr]]></homepage>
        <file_name>Batch_Csv_Wkt_Importer_Fr.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_YAPBQDk.png</icon>
        <author_name><![CDATA[Jean Marie BRABANT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Batch_Csv_Wkt_Importer_Fr/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[jimbee]]></uploaded_by>
        <create_date>2025-06-13T01:00:06.839482+00:00</create_date>
        <update_date>2025-06-13T01:00:09.787410+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jm-brabant/Batch_Csv_Wkt_Importer_Fr/issues]]></tracker>
        <repository><![CDATA[https://github.com/jm-brabant/Batch_Csv_Wkt_Importer_Fr]]></repository>
        <tags><![CDATA[wkt,polyline,import,csv,file,batch]]></tags>
        <downloads>834</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Batch_Csv_Wkt_Importer_US" version="1.0" plugin_id="3955">
        <description><![CDATA[Import as many csv files with wkt line geometry, with a single click, provided the files are of the same known type. In this first version, the CRS is by default the CRS of the project, the first field is WKT geometry (and named WKT), and all the other fields are of integer type by default. If there are characters in the features, the corresponding field is of string type.]]></description>
        <about><![CDATA[US version uses comma as field separator. Fr version uses semicolon. Developped as part of Q-Traf, a macroscopic traffic program working with QGis. Feel free to modify the file batch_csv_wkt_importer.py to your convenance.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jm-brabant/Batch_Csv_Wkt_Importer_US]]></homepage>
        <file_name>Batch_Csv_Wkt_Importer_US.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_4oHIv0a.png</icon>
        <author_name><![CDATA[Jean Marie BRABANT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Batch_Csv_Wkt_Importer_US/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[jimbee]]></uploaded_by>
        <create_date>2025-06-13T01:00:45.327426+00:00</create_date>
        <update_date>2025-06-13T01:00:48.852885+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jm-brabant/Batch_Csv_Wkt_Importer_US/issues]]></tracker>
        <repository><![CDATA[https://github.com/jm-brabant/Batch_Csv_Wkt_Importer_US]]></repository>
        <tags><![CDATA[wkt,polyline,import,csv,file,batch]]></tags>
        <downloads>789</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SelectNotValidPolygons" version="0.1" plugin_id="3959">
        <description><![CDATA[Achtung! Das Plugin wurde durch das neue Plugin &quot;QuickPolygonRepair&quot; abgelöst.
Attention! The plugin has been replaced by the new plugin ‘QuickPolygonRepair’
---
Das Plugin prüft Polygon-Layer auf Geometriefehler
The plugin checks polygon layers for geometry errors.]]></description>
        <about><![CDATA[(13.06.2025)
Das Plugin prüft Polygon-Layer auf Geometriefehler / The plugin checks polygon layers for geometry errors.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoobserver.de/qgis-plugin-selectnotvalidpolygons/]]></homepage>
        <file_name>selectnotvalidpolygons.0.1.zip</file_name>
        <icon>/media/packages/2025/logo_2rGtS8u.png</icon>
        <author_name><![CDATA[Mike Elstermann (#geoObserver)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/selectnotvalidpolygons/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[geoobserver]]></uploaded_by>
        <create_date>2025-06-13T11:46:03.802774+00:00</create_date>
        <update_date>2025-06-13T11:46:06.451653+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/geoObserver/SelectNotValidPolygons/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geoObserver/SelectNotValidPolygons/]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>418</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CRS Finder" version="0.2" plugin_id="3961">
        <description><![CDATA[Intelligent Coordinate Reference System finder and assign projection to the Layer on the fly. This plugin helps users find suitable Coordinate Reference Systems for their vector and raster layers through intelligent analysis and provides one-click assign projection functionality.]]></description>
        <about><![CDATA[This plugin helps users find suitable Coordinate Reference Systems for their vector and raster data through intelligent analysis and provides one-click assign projection functionality.
Steps to Use it:
1. At first Install this plugins and check it available.
2. Select all opened layers from &#x27;Layer&#x27; panel.
3. Click on the tool from toolbar (&quot;MAS** Vector Processing&quot; Toolbar) 
or select Vector menu --&gt; MAS Vector Processing --&gt; CRS Finder
* Please give a vote (stars) according to your experiences, it will motivate me. If you required any other tools or plugins please contact with me &quot;mastools.help@gmail.com&quot;.
** MAS refer to my name &quot;Mirjan Ali Sha&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/crs_finder/wiki]]></homepage>
        <file_name>crs_finder.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_crs_finder_8uxXlpK.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/crs_finder/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2025-06-13T22:16:50.503485+00:00</create_date>
        <update_date>2025-06-13T22:34:38.842756+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/crs_finder/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/crs_finder]]></repository>
        <tags><![CDATA[crs,projection,coordinate system,assign projection]]></tags>
        <downloads>2081</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geometry Comparator" version="0.1" plugin_id="3963">
        <description><![CDATA[Detects changes between two vector layers (Polygon, Line or Point) by comparing features based on a Unique ID field and their geometries, identifying Added, Deleted, and Modified features with high accuracy]]></description>
        <about><![CDATA[Geometry Comparator is a QGIS processing tool designed to compare two vector layers of the same geometry type (Polygon, Line, or Point). It analyzes differences based on a specified Unique ID field and geometry, accurately identifying Added, Deleted, and Modified features. The tool ensures robust change detection by prioritizing geometry comparison, handling cases where IDs may change, and supports all geometry types with precise matching logic.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnustupJana/GeometryComparator-plugin/#readme]]></homepage>
        <file_name>geometry_comparator.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_WWVrKGu.png</icon>
        <author_name><![CDATA[Anustup Jana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geometry_comparator/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[anustup]]></uploaded_by>
        <create_date>2025-06-15T19:37:15.554808+00:00</create_date>
        <update_date>2025-06-15T19:37:17.379435+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnustupJana/GeometryComparator-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnustupJana/GeometryComparator-plugin]]></repository>
        <tags><![CDATA[vector,feature,shapefile,point,analysis,polygon,line,polyline,geometry,processing,layers,geometry comparator]]></tags>
        <downloads>2091</downloads>
        <average_vote>4.95812674471897</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Elan" version="2025.12.18" plugin_id="3964">
        <description><![CDATA[QGIS decision-support plugin for integrated urban water management by nature-based solutions]]></description>
        <about><![CDATA[Processing modules : Roads and buildings, Population, Sewer network, Longitudinal sewer profile, Processes, Scenario creation, Assessment, Comparison (+ Urban catchment, Hydraulic for alpha version)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://elan-gis.org]]></homepage>
        <file_name>ELAN.2025.12.18.zip</file_name>
        <icon>/media/packages/2025/ELAN-LOGO-02_ICONE_Oy9KmIa.png</icon>
        <author_name><![CDATA[REVERSAAL et Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ELAN/version/2025.12.18/download/</download_url>
        <uploaded_by><![CDATA[reversaal]]></uploaded_by>
        <create_date>2025-06-17T10:03:25.767756+00:00</create_date>
        <update_date>2025-12-18T19:03:34.793297+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/elan7835313/elan/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/elan7835313/elan]]></repository>
        <tags><![CDATA[nbs,decentralization,disconnection,urban water,decision-support,integrated management]]></tags>
        <downloads>1254</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS2Mapbender" version="1.1.0" plugin_id="3965">
        <description><![CDATA[QGIS plugin to populate Mapbender with WMS services from QGIS Server.]]></description>
        <about><![CDATA[This QGIS plugin exports your project as a QGIS Server WMS (Web Map Service) and publishes it in a Mapbender application (https://mapbender.org).
System Requirements:

- Please note that QGIS2Mapbender version &gt;= 1.0.0 needs Mapbender version &gt;= 4.1.2.

Local requirements
- (1) The QGIS project must be saved in the same folder as the data.

Server requirements
- (1) QGIS Server and Mapbender must be installed on your server.
- (2) Check the Apache and PHP settings in the README file
- (3) Define the Mapbender upload directory api_upload_dir
- (4) Create at least one template application in Mapbender for cloning and publishing a new WMS or an application for publishing a new WMS. These applications should include a layerset named &quot;main&quot; (default layerset for new WMS) or a custom named layerset (name can be specified in the plugin).
- (4) User/Groups: All Mapbender users that should be authorized to use QGIS2Mapbender need special rights.

You find a detailed documentation at https://github.com/WhereGroup/QGIS2Mapbender/blob/main/README.md

Docker: QGIS Server and Mapbender can be run as Docker containers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/WhereGroup/QGIS2Mapbender]]></homepage>
        <file_name>qgis2mapbender.1.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Carmen Viesca, Paolo Favero, Peter Gipper, Christoph Welker, Dennis Davidsohn]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis2mapbender/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[1712]]></uploaded_by>
        <create_date>2025-06-18T10:47:09.462266+00:00</create_date>
        <update_date>2025-10-06T09:45:11.426478+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WhereGroup/QGIS2Mapbender/issues]]></tracker>
        <repository><![CDATA[https://github.com/WhereGroup/QGIS2Mapbender]]></repository>
        <tags><![CDATA[web,export,wms,services,webmap,sdi,webmaps,qgis,geoportal,webgis,publish,mapbender,qgis server,ogc wms]]></tags>
        <downloads>2045</downloads>
        <average_vote>4.999545495864012</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CatGrowing" version="1.0.0" plugin_id="3967">
        <description><![CDATA[Region-growing algorithm for categorical raster data.]]></description>
        <about><![CDATA[The CatGrowing plugin implements a categorical region-growing algorithm designed to analyze and expand areas with similar characteristics to initial seeds. Using a categorical raster map and a vector seed map, the plugin identifies regions akin to the seeds by comparing histograms of pixel categories. The algorithm iteratively grows regions based on the Orloci Chord distance, which measures dissimilarity between the seed&#x27;s composition and its surroundings. This tool is ideal for spatial analysis tasks requiring region delineation based on categorical data.

CatGrowing was produced in the frame of MEDCONECTA, a project supported by the Biodiversity Foundation of the Ministry for the Ecological Transition and the Demographic Challenge (MITECO) of the Government of Spain, within the framework of the Recovery, Transformation and Resilience Plan (PRTR), funded by the European Union - NextGenerationEU.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Aruiz99/CatGrowing]]></homepage>
        <file_name>CatGrowing.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_VZ6P2gb.png</icon>
        <author_name><![CDATA[Alberto Ruiz-Rancaño, Gabriel del Barrio Escribano (EEZA-CSIC)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CatGrowing/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[aruiz99]]></uploaded_by>
        <create_date>2025-06-18T18:40:44.974439+00:00</create_date>
        <update_date>2025-07-09T10:38:18.212593+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Aruiz99/CatGrowing/issues]]></tracker>
        <repository><![CDATA[https://github.com/Aruiz99/CatGrowing]]></repository>
        <tags><![CDATA[histogram,spatial-analysis,spatial-coherence,region-growing,categorical-raster,raster-processing.,vector-seeds]]></tags>
        <downloads>734</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Whisp" version="1.0" plugin_id="3968">
        <description><![CDATA[Analyze your geometries for deforestation risk through the OpenForis Whisp API]]></description>
        <about><![CDATA[With this plugin you can &quot;whisp&quot; your geometries to check them for deforestation risk based on multiple freely available global layers (Convergence of Evidence approach).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://openforis.org/solutions/whisp]]></homepage>
        <file_name>whisp_plugin.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_7A6XcJM.png</icon>
        <author_name><![CDATA[Jonas Spekker (FAO)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/whisp_plugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[jospek]]></uploaded_by>
        <create_date>2025-06-20T11:34:39.569187+00:00</create_date>
        <update_date>2025-06-20T11:47:59.097522+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/forestdatapartnership/whisp-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/forestdatapartnership/whisp-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>447</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="pvGIS" version="1.4.9" plugin_id="3970">
        <description><![CDATA[3D viewer for QGIS]]></description>
        <about><![CDATA[Integration of a pyvista(qt) renderer within QGIS shipping convenient connectors between 2D en 3D spaces.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/brgm/qgis/pvgis]]></homepage>
        <file_name>pvGIS.1.4.9.zip</file_name>
        <icon>/media/packages/2026/icon_ofTvINc.ico</icon>
        <author_name><![CDATA[BRGM]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pvGIS/version/1.4.9/download/</download_url>
        <uploaded_by><![CDATA[t4mmi]]></uploaded_by>
        <create_date>2025-06-20T13:58:55.370138+00:00</create_date>
        <update_date>2026-03-20T14:24:16.225875+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/brgm/qgis/pvgis/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/brgm/qgis/pvgis]]></repository>
        <tags><![CDATA[3d,renderer,brgm,pyvista,vtk]]></tags>
        <downloads>2997</downloads>
        <average_vote>4.499437570303712</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FooPicha" version="1.0" plugin_id="3971">
        <description><![CDATA[Visualize photos with location/coordinates and create/display point data.]]></description>
        <about><![CDATA[Read a folder of pictures and shows the pictures with coordinates ready to create/display a point file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cutlan/QGIS-FooPicha/]]></homepage>
        <file_name>foopicha.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_znCcc2R.png</icon>
        <author_name><![CDATA[C-Langen R.M.M.M Mushi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/foopicha/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cutlan]]></uploaded_by>
        <create_date>2025-06-20T20:19:55.766827+00:00</create_date>
        <update_date>2025-07-23T20:02:25.962095+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cutlan/QGIS-FooPicha/issues]]></tracker>
        <repository><![CDATA[https://github.com/cutlan/QGIS-FooPicha/]]></repository>
        <tags><![CDATA[python,time,picture,image,description,jbidhaa,tanzania,jbe,picha]]></tags>
        <downloads>1291</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Table Structure Compare" version="0.1" plugin_id="3972">
        <description><![CDATA[Compares the attribute table structures of two vector layers in QGIS, highlighting differences in field names, types, and lengths, with results shown as a temporary layer or a confirmation popup if identical]]></description>
        <about><![CDATA[The Table Structure Compare plugin enables QGIS users to analyze and compare the attribute table structures of two vector layers. Users select a base layer (template) and a layer to compare, and the plugin evaluates differences in field names (case-sensitive and case-insensitive), data types, and field lengths. If the structures are identical, a popup message confirms the match. If differences exist, the plugin generates a temporary memory layer detailing each discrepancy, including missing fields, type mismatches, case-sensitive name differences, and length variations. The output layer is automatically added to the QGIS project, with its attribute table displayed for easy review. Ideal for data validation and ensuring consistency in vector layer schemas, this plugin streamlines the process of identifying structural variations in attribute tables.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnustupJana/TableStructureCompare-plugin/#readme]]></homepage>
        <file_name>table_structure_compare.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_Kwz9DdO.png</icon>
        <author_name><![CDATA[Anustup Jana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/table_structure_compare/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[anustup]]></uploaded_by>
        <create_date>2025-06-21T17:04:37.762582+00:00</create_date>
        <update_date>2025-06-21T17:04:39.883798+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnustupJana/TableStructureCompare-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnustupJana/TableStructureCompare-plugin]]></repository>
        <tags><![CDATA[vector,shapefile,attribute,database,analysis,attribute table,table,field,layers,template compare,attribute structure compare,data type compare,table structure compare,database compare,schema comparison,field compare]]></tags>
        <downloads>873</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FileSync" version="1.0.0" plugin_id="3973">
        <description><![CDATA[Tools to sync directory-files with point-layer]]></description>
        <about><![CDATA[Tools to sync files with layer:
- PreScan: pre-scan import directory
- Sync: synchronize pre-scan-result-layers with existing point-layer
- PostScan: extract and store metadata in layers with referenced files (exif, GPS, size, date)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Ludwig-K/QGisFileSync/]]></homepage>
        <file_name>FileSync.1.0.0.zip</file_name>
        <icon>/media/packages/2025/mActionHistory.svg</icon>
        <author_name><![CDATA[Ludwig Kniprath]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FileSync/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[ludwigk]]></uploaded_by>
        <create_date>2025-06-22T13:45:12.569020+00:00</create_date>
        <update_date>2025-06-22T13:45:14.453635+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Ludwig-K/QGisFileSync/issues]]></tracker>
        <repository><![CDATA[https://github.com/Ludwig-K/QGisFileSync]]></repository>
        <tags><![CDATA[python,gps,image,jpg,document,file,exif,dms,jpeg,synchronize,iptc,xmp]]></tags>
        <downloads>774</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Burned Area Detector" version="3.0.0" plugin_id="3974">
        <description><![CDATA[BAD_Burned Area Detector]]></description>
        <about><![CDATA[BAD (Burned Area Detector) plugin for detecting burned areas from Sentinel-2 data using custom region-growing and validation workflows.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ThomasMartinoli/BAD-Plugin-V.3.0.0]]></homepage>
        <file_name>bad.3.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_rdeyDhE.png</icon>
        <author_name><![CDATA[Thomas Martinoli, Sriram Krishnasamy Seenivasan, Rishikesh Miriyala, Silvia Macchi, Sveva Zanetti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bad/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[badplugin]]></uploaded_by>
        <create_date>2025-06-23T06:55:35.295669+00:00</create_date>
        <update_date>2026-01-07T12:59:13.575593+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ThomasMartinoli/BAD-Plugin-V.3.0.0/issues]]></tracker>
        <repository><![CDATA[https://github.com/ThomasMartinoli/BAD-Plugin-V.3.0.0]]></repository>
        <tags><![CDATA[python,remote sensing,sentinel-2,fire mapping,burned area]]></tags>
        <downloads>1615</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QCarta" version="6.1" plugin_id="3977">
        <description><![CDATA[Upload QGIS projects and data to stores in QCarta.]]></description>
        <about><![CDATA[QGIS plugin for publishing to QCarta.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.acugis.com/qcarta-qgis-plugin]]></homepage>
        <file_name>qcarta_qgis_plugin.6.1.zip</file_name>
        <icon>/media/packages/2025/qcarta-logo.png</icon>
        <author_name><![CDATA[AcuGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qcarta_qgis_plugin/version/6.1/download/</download_url>
        <uploaded_by><![CDATA[cited]]></uploaded_by>
        <create_date>2025-06-23T10:11:52.878883+00:00</create_date>
        <update_date>2026-01-26T10:58:52.108548+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AcuGIS/qcarta-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AcuGIS/qcarta-qgis-plugin]]></repository>
        <tags><![CDATA[project,qgis-web-client]]></tags>
        <downloads>744</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="spectralmatch" version="1.2.1" plugin_id="3978">
        <description><![CDATA[relative radiometric normalization toolkit for raster mosaics and time series]]></description>
        <about><![CDATA[spectralmatch provides a Python library, command line interface, and QGIS plugin with multiple algorithms to perform Relative Radiometric Normalization (RRN). It also includes utilities for generating seamlines, cloud masks, Pseudo-Invariant Features, statistics, preprocessing, and more. Explore this toolkit’s features at https://spectralmatch.github.io/spectralmatch/. To install in QGIS, the spectralmatch Python library is required, for installation instructions, see https://spectralmatch.github.io/spectralmatch/installation/.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://spectralmatch.github.io/spectralmatch/]]></homepage>
        <file_name>spectralmatch_qgis.1.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_CRuZ5dw.png</icon>
        <author_name><![CDATA[Kanoa Lindiwe LLC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spectralmatch_qgis/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[cankanoa]]></uploaded_by>
        <create_date>2025-06-23T11:39:26.690204+00:00</create_date>
        <update_date>2026-04-13T10:43:36.854522+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/spectralmatch/spectralmatch/issues]]></tracker>
        <repository><![CDATA[https://github.com/spectralmatch/spectralmatch]]></repository>
        <tags><![CDATA[python,time series,remote sensing,mosaic,qgis plugin,cloud masking,histogram matching,relative radiometric normalization,pseudo invariant features,seamline]]></tags>
        <downloads>1208</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Attribute Transfer to Schema" version="0.1" plugin_id="3980">
        <description><![CDATA[Attribute Transfer to Schema plugin that enables seamless transfer of attribute data from a source vector layer to a template layer with a predefined schema. It features a user-friendly interface with dropdown lists to manually map fields]]></description>
        <about><![CDATA[The Attribute Transfer to Schema plugin for QGIS simplifies the process of transferring attribute data between vector layers with differing schemas. Designed for users working with a template layer (e.g., with fields like ID, Name, Address, UID, Area, Length, Date) and a source layer with potentially different field names, types, or counts (e.g., ID, Nme, Addr, UUID, Shape_Area, Shape_Length, Remark, Others, Date), this plugin ensures precise data transfer. Key features include: Interactive Field Mapping: A intuitive GUI with two dropdown lists allows users to manually map fields from the source layer to the template layer, ensuring only desired attributes are transferred. Schema Preservation: Unmatched fields in the template layer remain blank, maintaining the integrity of the predefined schema. Flexible Workflow: Supports copying features and selectively transferring attribute values based on user-defined mappings.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnustupJana/AttributeTransferToSchema-plugin/#readme]]></homepage>
        <file_name>attribute_transfer_to_schema.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_bMznBEu.png</icon>
        <author_name><![CDATA[Anustup Jana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/attribute_transfer_to_schema/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[anustup]]></uploaded_by>
        <create_date>2025-06-23T18:58:36.654328+00:00</create_date>
        <update_date>2025-06-23T18:58:38.750093+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnustupJana/AttributeTransferToSchema-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnustupJana/AttributeTransferToSchema-plugin]]></repository>
        <tags><![CDATA[calculator,vector,shapefile,attribute,database,attribute edit,export,attribute table,table,template,field,schema,attribute transfer,field matching,transfer to template,transfer to schema]]></tags>
        <downloads>1620</downloads>
        <average_vote>4.999444506165982</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickPolygonRepair" version="0.4" plugin_id="3981">
        <description><![CDATA[Das Plugin prüft einen aktivierten Polygon-Layer auf Geometriefehler und bietet an, diese auch zu reparieren / The plugin checks an activated polygon layer for geometry errors and also offers to repair them.]]></description>
        <about><![CDATA[(09.10.2025)&lt;/br&gt;Das Plugin prüft einen aktivierten Polygon-Layer auf Geometriefehler und bietet an, diese auch zu reparieren / The plugin checks an activated polygon layer for geometry errors and also offers to repair them.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoobserver.de/qgis-plugin-QuickPolygonRepair/]]></homepage>
        <file_name>quickpolygonrepair.0.4.zip</file_name>
        <icon>/media/packages/2026/logo_pIU4iVY.png</icon>
        <author_name><![CDATA[Mike Elstermann (#geoObserver)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quickpolygonrepair/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[geoobserver]]></uploaded_by>
        <create_date>2025-06-23T19:14:43.283787+00:00</create_date>
        <update_date>2026-02-26T15:22:52.708970+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoObserver/QuickPolygonRepair/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geoObserver/QuickPolygonRepair/]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>3761</downloads>
        <average_vote>4.7497031435535275</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GIS.Box Lite" version="1.1" plugin_id="3982">
        <description><![CDATA[GIS.Box Lite is the free version of the GIS.Box platform for collaborative mapping. It enables easy teamwork in QGIS.]]></description>
        <about><![CDATA[With the GIS.Box Lite plugin, you can use a free Lite account on the GIS.Box collaborative mapping platform. The Lite version allows you to create an account, upload data, invite collaborators, and work together (including spatial data editing and communication via a built-in chat). The Lite account has a storage limit of 100 MB and supports up to 20 collaborators. A short instructional video is available on the plugin&#x27;s page]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gis-support.pl/gis-box-lite]]></homepage>
        <file_name>usemaps_lite.1.1.zip</file_name>
        <icon>/media/packages/2025/zielen_v1_kVQLhmT.jpg</icon>
        <author_name><![CDATA[GIS Support]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/usemaps_lite/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[gissupport]]></uploaded_by>
        <create_date>2025-06-24T08:34:18.218256+00:00</create_date>
        <update_date>2025-07-09T11:20:36.392523+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gis-support/usemaps-lite-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/gis-support/usemaps-lite-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>629</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cadastral Extractor" version="1.1.0" plugin_id="3988">
        <description><![CDATA[Извличане на имот по идентификатор и експорт в DXF, CSV, KML]]></description>
        <about><![CDATA[Позволява извличане на данни от кадастрални .shp файлове по идентификатор (кадастър на България). Поддържа експорт във файлови формати CSV (точки), KML (контур + точки), DXF (контур). / Allows data extraction from cadastral .shp files by identifier (Cadastre of Bulgaria). Supports export in CSV (points), KML (contour + points), DXF (contour) file formats.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Stanimir-ami/cadastral-extractor]]></homepage>
        <file_name>cadastral_extractor.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_n3FcHxE.png</icon>
        <author_name><![CDATA[Stanimir Dimitrov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cadastral_extractor/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[stanimir17]]></uploaded_by>
        <create_date>2025-06-25T19:29:24.512777+00:00</create_date>
        <update_date>2025-07-06T11:11:12.610025+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Stanimir-ami/cadastral-extractor/issues]]></tracker>
        <repository><![CDATA[https://github.com/Stanimir-ami/cadastral-extractor]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2226</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Clock Board Zone (Multi-Center)" version="1.0.0" plugin_id="3989">
        <description><![CDATA[Generate circular buffer zones for each point feature in the input layer, with optional raster zonal statistics.
This plugin is highly useful for urban and regional planning tasks such as service-area analysis,
accessibility mapping, optimization of public facility distribution, and spatial performance evaluation.]]></description>
        <about><![CDATA[Clock Board Zone (Multi-Center) adds a processing algorithm to QGIS for generating
circular buffer zones around point features with optional raster zonal statistics. It supports
service-area analysis, accessibility mapping, and impact evaluation for urban and regional planning.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/clock-board-zone]]></homepage>
        <file_name>clock_board_zone.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_nwJzEpb.png</icon>
        <author_name><![CDATA[Firman Afrianto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/clock_board_zone/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2025-06-25T19:40:11.102437+00:00</create_date>
        <update_date>2025-06-25T19:40:13.228974+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/clock-board-zone/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/clock-board-zone]]></repository>
        <tags><![CDATA[buffer,accessibility,service area,urban planning,zonal statistics]]></tags>
        <downloads>924</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Depth Reader OCR" version="1.1.0" plugin_id="3990">
        <description><![CDATA[Extrai manual e automaticamente valores de profundidade de cartas náuticas brasileiras usando OCR]]></description>
        <about><![CDATA[Este plugin permite extrair manual e automaticamente valores de profundidade de cartas náuticas raster (GeoTIFF) da Marinha do Brasil usando OCR com múltiplas tecnologias (OpenCV, Tesseract, EasyOCR).
DEPENDÊNCIAS OBRIGATÓRIAS:
- opencv-python&gt;=4.5.0 (processamento de imagem)
- pytesseract&gt;=0.3.8 (OCR Tesseract)
- easyocr&gt;=1.6.0 (OCR alternativo)
- pillow&gt;=8.0.0 (manipulação de imagens)
INSTALAÇÃO DE DEPENDÊNCIAS:
O plugin tentará instalar as dependências automaticamente. Se falhar:
1. Abrir Console Python do QGIS (Plugins &gt; Console Python)
2. Executar: import subprocess; subprocess.check_call([&#x27;pip&#x27;, &#x27;install&#x27;, &#x27;opencv-python&#x27;, &#x27;pytesseract&#x27;, &#x27;easyocr&#x27;, &#x27;pillow&#x27;])
3. Para Windows: Instalar Tesseract Engine de https://github.com/UB-Mannheim/tesseract/wiki
4. Reiniciar QGIS
DADOS COMPATÍVEIS:
Cartas Náuticas Raster (GeoTIFF) da Marinha do Brasil disponíveis gratuitamente em: https://www.marinha.mil.br/chm/dados-do-segnav/cartas-raster
CARACTERÍSTICAS TÉCNICAS:
OCR com múltiplas rotações (-90° a +270°), filtros adaptativos para melhor reconhecimento, interface com barra de progresso, sistema robusto de verificação de dependências, salvamento automático para análise posterior.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/elivaldorocha/depth-reader-ocr]]></homepage>
        <file_name>deep_reader_ocr.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_LcVgWcO.png</icon>
        <author_name><![CDATA[Elivaldo Rocha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/deep_reader_ocr/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[elivaldorocha]]></uploaded_by>
        <create_date>2025-06-25T20:54:55.095729+00:00</create_date>
        <update_date>2025-07-01T00:32:27.271644+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/elivaldorocha/depth-reader-ocr/issues]]></tracker>
        <repository><![CDATA[https://github.com/elivaldorocha/depth-reader-ocr]]></repository>
        <tags><![CDATA[raster,geotiff,opencv,batimetria,ocr,cartas nauticas,tesseract,marinha brasil,nautico,profundidade]]></tags>
        <downloads>962</downloads>
        <average_vote>4.999500049995</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS DevTools" version="1.3.2" plugin_id="3991">
        <description><![CDATA[Advanced developer tools for QGIS. Includes remote debugging support via debugpy.]]></description>
        <about><![CDATA[QGIS DevTools is a toolkit for QGIS plugin developers. It allows you to launch a debugpy server directly from QGIS and connect to the process from VS Code. In the future, more tools and new debugging libraries will be added to simplify everyday development tasks. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nextgis/qgis_devtools]]></homepage>
        <file_name>devtools.1.3.2.zip</file_name>
        <icon>/media/packages/2026/devtools_logo_lyD2E5x.svg</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/devtools/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2025-06-26T02:50:28.704405+00:00</create_date>
        <update_date>2026-02-27T14:41:37.397493+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/qgis_devtools/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/qgis_devtools]]></repository>
        <tags><![CDATA[development,debugging,tools]]></tags>
        <downloads>3753</downloads>
        <average_vote>4.856911575639255</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Drape Line Tools" version="1.0.1" plugin_id="3992">
        <description><![CDATA[Extracts defined sub-segments of line features using start and end distances, with options for manual or CSV-based batch processing, while preserving source attributes and geometry.]]></description>
        <about><![CDATA[This plugin extracts exact portions of an existing line by specifying start and end distances along its length. It supports Manual Mode to interactively extract a single segment from a selected feature and CSV Mode to batch-generate multiple segments from one or more line layers using a CSV file. All original attributes are retained, with a calculated segment length added to the output, and it supports overlapping and multi-segment extractions without altering the source geometry.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/poo-ke/Drape-line-Plugin]]></homepage>
        <file_name>drape_line_by_distance.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_t1rMma4.png</icon>
        <author_name><![CDATA[poo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/drape_line_by_distance/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[pooke]]></uploaded_by>
        <create_date>2025-06-26T03:48:46.494336+00:00</create_date>
        <update_date>2025-08-16T00:03:56.059907+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/poo-ke/Drape-line-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/poo-ke/Drape-line-Plugin]]></repository>
        <tags><![CDATA[vector,road,line,overlay,transport,sewer,segment,utilities,construction,drape,pipelines]]></tags>
        <downloads>910</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BGA" version="0.1" plugin_id="3993">
        <description><![CDATA[Analyse the built-up growth of a region over a period of time.]]></description>
        <about><![CDATA[The plugin, given built-up raster files and administrative boundary vector file, performs visual and graphical analysis of built-up and its growth.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/manvitha-konki/BGA_plugin]]></homepage>
        <file_name>BGA.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_10PyXo3.png</icon>
        <author_name><![CDATA[Konkimalla Manvitha, Aadya Mahraur, Rama Dasu M]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BGA/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[bganrsc]]></uploaded_by>
        <create_date>2025-06-26T06:05:30.296187+00:00</create_date>
        <update_date>2025-06-26T06:05:32.845342+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/manvitha-konki/BGA_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/manvitha-konki/BGA_plugin]]></repository>
        <tags><![CDATA[python,analysis,remote sensing,urban,growth,built-up]]></tags>
        <downloads>515</downloads>
        <average_vote>4.912829876961871</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PolygonValidator" version="1.0.0" plugin_id="3994">
        <description><![CDATA[🔷 Polygon Validator: Detects and visualizes polygon geometry anomalies like slivers, overlaps, close or duplicate vertices, and sharp angles.]]></description>
        <about><![CDATA[An interactive QGIS plugin for validating polygon geometries and visualizing anomalies using visual overlays and memory layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mikha651/QGIS-Polygon-Validator]]></homepage>
        <file_name>PolygonValidator.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_06dcQih.png</icon>
        <author_name><![CDATA[mikha651]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PolygonValidator/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mikha651]]></uploaded_by>
        <create_date>2025-06-26T10:23:28.869041+00:00</create_date>
        <update_date>2025-06-26T10:23:31.096528+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mikha651/QGIS-Polygon-Validator/issues]]></tracker>
        <repository><![CDATA[https://github.com/mikha651/QGIS-Polygon-Validator]]></repository>
        <tags><![CDATA[polygon,geometry,topology,angle,vertices,qgis,overlap,anomaly,validator,slivers]]></tags>
        <downloads>3596</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Labeling Rule Properties Copier" version="1.1" plugin_id="3995">
        <description><![CDATA[Copies labeling rule properties from one rule to another.]]></description>
        <about><![CDATA[This plugin allows you to quickly copy key labeling rule properties — such as placement settings, filter expressions, text values, and obstacle options — from one rule to another within a layer or between different layers. Useful for maintaining consistent label styles across labeling rules.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cartostyler/labeling-rule-properties-copier]]></homepage>
        <file_name>labeling_rule_properties_copier.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_EMm2WWa.png</icon>
        <author_name><![CDATA[Jossef Kanter]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/labeling_rule_properties_copier/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[jokan]]></uploaded_by>
        <create_date>2025-06-26T18:08:09.091502+00:00</create_date>
        <update_date>2025-06-26T18:08:11.499493+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cartostyler/labeling-rule-properties-copier]]></tracker>
        <repository><![CDATA[https://gitlab.com/cartostyler/labeling-rule-properties-copier]]></repository>
        <tags><![CDATA[style,labeling,label,styles,cartography,labels]]></tags>
        <downloads>449</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DourBase" version="1.5" plugin_id="3997">
        <description><![CDATA[DourBase est une extension QGIS faite par la Communauté Lesneven Côte des Légendes (CLCL)]]></description>
        <about><![CDATA[DourBase est une extension QGIS conçue pour simplifier l&#x27;intégration des plans de récolement conformes au cahier des charges GéoPaysdeBrest. Elle inclut également la gestion des identifiants grâce au plugin rsxident de Géodis. De plus, elle permet de mettre à jour les données entre la base de travail et la base de consultation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SIG-CLCL/DourBase]]></homepage>
        <file_name>DourBase.1.5.zip</file_name>
        <icon>/media/packages/2026/icon_pnonIHE.svg</icon>
        <author_name><![CDATA[Communauté Lesneven Côte des Légendes (CLCL)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DourBase/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[clcl]]></uploaded_by>
        <create_date>2025-06-27T14:53:07.113539+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SIG-CLCL/DourBase/issues]]></tracker>
        <repository><![CDATA[https://github.com/SIG-CLCL/DourBase]]></repository>
        <tags><![CDATA[]]></tags>
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        <average_vote>4.799040191961607</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PseudoHyperlink" version="1.2" plugin_id="4000">
        <description><![CDATA[Adds clickable links in HTML feature tips]]></description>
        <about><![CDATA[This plugin enables users to include clickable hyperlinks inside HTML map tips for vector layer features. It enhances the interaction within the QGIS map canvas by allowing direct access to external content via hyperlinks embedded in feature tips.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ivasantos2019/PseudoHyperlink]]></homepage>
        <file_name>PseudoHyperlink.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_2Cg09l1.png</icon>
        <author_name><![CDATA[GeoSmart]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PseudoHyperlink/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[geosmartxxi]]></uploaded_by>
        <create_date>2025-06-27T22:06:02.129574+00:00</create_date>
        <update_date>2025-06-28T16:13:14.887416+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ivasantos2019/PseudoHyperlink/issues]]></tracker>
        <repository><![CDATA[https://github.com/ivasantos2019/PseudoHyperlink]]></repository>
        <tags><![CDATA[html,hyperlink,interactivity,feature tips]]></tags>
        <downloads>462</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Integrated Nighttime Light Modeling is a QGIS plugin designed to support advanced spatial analysis and forecasting using VIIRS Nighttime Lights (avg_rad) data.
It includes two main tools:
1. Nighttime Light Annual Composer for batch download and clipping.
2. Nighttime Light Regression Modeler for pixel-wise forecasting.]]></description>
        <about><![CDATA[This plugin streamlines the workflow of downloading, analyzing, and predicting NTL trends for urban and regional planning.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/IntegratedNTLModeling]]></homepage>
        <file_name>integrated_ntl_modeling.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_L8uGgYX.png</icon>
        <author_name><![CDATA[Firman Afrianto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/integrated_ntl_modeling/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2025-06-29T16:45:40.171327+00:00</create_date>
        <update_date>2025-06-29T16:45:42.989363+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/IntegratedNTLModeling/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/IntegratedNTLModeling]]></repository>
        <tags><![CDATA[regression,urban planning,viirs,ntl,earth engine,forecast]]></tags>
        <downloads>1054</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Drainage Basin Geomorphology" version="1.4.0" plugin_id="4004">
        <description><![CDATA[This plugin provides tools for geomorphological analysis in drainage basins.]]></description>
        <about><![CDATA[Studying and analyzing the geomorphology of drainage basins is essential to understand the dynamics of the processes that occur in them and their interactions with the environment and human activities. In this context, the &quot;Drainage Basin Geomorphology&quot; plugin aims to provide tools that help the user to quickly analyze characteristics of the drainage basin. If you have any questions, suggestions, errors or need information/training about the plugin, please contact: jvpjoaopimentadev@gmail.com]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-Drainage-Basin-Geomorphology]]></homepage>
        <file_name>DrainageBasinGeomorphology.1.4.0.zip</file_name>
        <icon>/media/packages/2026/icon_T7jBF1l.png</icon>
        <author_name><![CDATA[João Vitor Pimenta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DrainageBasinGeomorphology/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[pimenta]]></uploaded_by>
        <create_date>2025-06-29T21:30:21.996718+00:00</create_date>
        <update_date>2026-02-11T16:37:07.938203+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-Drainage-Basin-Geomorphology/issues]]></tracker>
        <repository><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-Drainage-Basin-Geomorphology]]></repository>
        <tags><![CDATA[geomorphology,hydrology,pca,drainage,morphology,morphometry,basin,inundation,watershed,morphometric,modification,priority]]></tags>
        <downloads>6029</downloads>
        <average_vote>4.082993083909674</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Theme Manager" version="1.0" plugin_id="4006">
        <description><![CDATA[This plugin stands to be a theme manager. It allows you to select the layers you want to set up in the different themes in your project as a checklist, showing up all themes at once.]]></description>
        <about><![CDATA[Managing several themes within a single QGIS project can sometimes be complex. This plugin provides you a user-friendly graphical interface to efficiently manage the layers you wish to display in each theme of your QGIS project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AntoElCrackito/theme_manager_QGIS_plugin]]></homepage>
        <file_name>theme_manager.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_WsiZAsR.png</icon>
        <author_name><![CDATA[Antoine BOYER]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/theme_manager/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[antoelcrackito]]></uploaded_by>
        <create_date>2025-06-30T13:06:25.168488+00:00</create_date>
        <update_date>2025-06-30T13:06:27.075612+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AntoElCrackito/theme_manager_QGIS_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AntoElCrackito/theme_manager_QGIS_plugin]]></repository>
        <tags><![CDATA[python,layers,themes,cartography,layer tree,geovisualisation]]></tags>
        <downloads>1318</downloads>
        <average_vote>4.9162569785851185</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Advanced segmentation tool with intelligent SAM 2.1/Ultralytics SAM2.1_B selection, exceptional CPU performance (&lt;1s on 24+ cores), GPU acceleration, threading, and professional workflow features]]></description>
        <about><![CDATA[GeoOSAM brings Meta&#x27;s latest Segment Anything Model (SAM 2.1) and Ultralytics SAM2.1_B to QGIS with intelligent hardware optimization. Features automatic model selection: SAM 2.1 for GPU systems (CUDA/Apple Silicon) and Ultralytics SAM2.1_B for CPU-only systems, providing 5-10x performance improvements. Ultralytics automatically handles SAM2.1_B downloads for seamless CPU setup. Includes GPU/CPU acceleration with automatic device detection, multi-threaded processing for responsive UI, Point and BBox segmentation modes, 12 pre-defined classes (Buildings, Roads, Vegetation, Water, Vehicle, Ship, etc.) plus custom class creation, Undo functionality for mistake correction, Custom output folder selection, Optional debug mask saving, Automatic raster layer re-selection, Professional shapefile export with detailed attributes. Perfect for remote sensing analysis, urban planning, environmental monitoring, and geospatial segmentation tasks. Optimized for NVIDIA GPU, Apple Silicon, and multi-core CPU processing with intelligent model selection for optimal performance on any hardware.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/espressouk/GeoOSAM]]></homepage>
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        <icon>/media/packages/2026/icon_ulhT8pA.png</icon>
        <author_name><![CDATA[Ofer Butbega]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoOSAM/version/1.3.4/download/</download_url>
        <uploaded_by><![CDATA[oferb]]></uploaded_by>
        <create_date>2025-06-30T16:35:34.781890+00:00</create_date>
        <update_date>2026-04-06T11:06:29.555383+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/espressouk/GeoOSAM/issues]]></tracker>
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        <tags><![CDATA[python,remote sensing,gis,urban planning,machine learning,segmentation,deep learning,satellite imagery,ai,sam,computer vision,semantic segmentation,sam2.1,pytorch,cuda,performance optimization,geospatial analysis,sam2,apple silicon,environmental monitoring,raster analysis,gpu acceleration,object detection,intelligent model selection,ultralytics,sam2.1_b]]></tags>
        <downloads>10010</downloads>
        <average_vote>4.697734090887168</average_vote>
        <rating_votes>311</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TactileMaps" version="0.3.0" plugin_id="4008">
        <description><![CDATA[Utilities to create tactile maps.]]></description>
        <about><![CDATA[Processing plugin with tools to generate digital elevation models from vector geometries, in order to print tactile maps.
It includes a scale calculator, tools for scaling geometries to the size of the printed map, polygon edge extraction, Braille writing, rasterization and Gaussian filtering.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/labgeofie/qgis-tactilemaps/wiki]]></homepage>
        <file_name>tactilemaps.0.3.0.zip</file_name>
        <icon>/media/packages/2025/icon_yjOEjeO.png</icon>
        <author_name><![CDATA[Laboratorio de Geociencias - FIE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tactilemaps/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[gabrieldeluca]]></uploaded_by>
        <create_date>2025-06-30T16:52:09.707111+00:00</create_date>
        <update_date>2025-06-30T16:52:12.135929+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/labgeofie/qgis-tactilemaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/labgeofie/qgis-tactilemaps]]></repository>
        <tags><![CDATA[print,dem,3d,gaussian,braille,tactile]]></tags>
        <downloads>588</downloads>
        <average_vote>2.599480103979204</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Validar Medição" version="1.2.0" plugin_id="4009">
        <description><![CDATA[Valida medições de bacias de captação e terraços executados pela CODEVASF 1SR]]></description>
        <about><![CDATA[Plugin criado para otimizar a validação das bacias de captação e terraços medidos com o uso de drones.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/givaldocesar/validar-medicao.git]]></homepage>
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        <icon>/media/packages/2025/Captura_de_tela_2025-07-01_114623.png</icon>
        <author_name><![CDATA[Givaldo Cavalcanti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/validar_medicao/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[givaldocesar]]></uploaded_by>
        <create_date>2025-06-30T19:01:07.257342+00:00</create_date>
        <update_date>2025-10-31T18:40:15.054979+00:00</update_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/givaldocesar/validar-medicao.git]]></tracker>
        <repository><![CDATA[https://github.com/givaldocesar/validar-medicao.git]]></repository>
        <tags><![CDATA[python codevasf]]></tags>
        <downloads>764</downloads>
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        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Attribute Table Shortcut" version="1.1.1" plugin_id="4010">
        <description><![CDATA[Provides quick a button next to each layer in the layers list to open it&#x27;s attribute table]]></description>
        <about><![CDATA[A very small plugin for streamlining your workflow by adding convenient attribute table access buttons directly in the layers panel.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/angusmcb/attribute-shortcut]]></homepage>
        <file_name>attributeshortcut.1.1.1.zip</file_name>
        <icon>/media/packages/2025/logo_BvtrvXC.svg</icon>
        <author_name><![CDATA[Angus McBride]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/attributeshortcut/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[angusmcb]]></uploaded_by>
        <create_date>2025-07-01T08:42:48.250630+00:00</create_date>
        <update_date>2025-08-12T15:27:20.533011+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/angusmcb/attribute-shortcut/issues]]></tracker>
        <repository><![CDATA[https://github.com/angusmcb/attribute-shortcut]]></repository>
        <tags><![CDATA[attribute,table,layers,workflow,panel,shortcut,button]]></tags>
        <downloads>4754</downloads>
        <average_vote>4.3938062482955065</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sentinel-2 Analyzer" version="1.0.1" plugin_id="4011">
        <description><![CDATA[The plugin allows for managing Sentinel-2 data; computing multispectral indices; and performing some analysis.]]></description>
        <about><![CDATA[The S2A plugin is designed to efficiently support the exploration and analysis of Sentinel-2 satellite imagery, with the flexibility to work with other multispectral datasets at different spatial resolutions. &lt;br&gt;&lt;br&gt; The plugin enables efficient data management by allowing users to generate image stacks containing only the selected bands. Stack generation can be performed in three ways: directly from a SAFE folder, from a multiband raster, or from individual single-band rasters. &lt;br&gt; S2A also enables the computation of multispectral indices. Several commonly used indices are included by default, and if a specific index is missing, it can be defined and calculated using the built-in calculator. &lt;br&gt; Additional features include mask generation and application, discretization of continuous rasters, basic statistical analysis with automated report generation, and change detection between data acquired at different times.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ThomasMartinoli/Sentinel2Analyzer_QGISplugin/tree/main]]></homepage>
        <file_name>S2A_Code.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_kr7rNqi.png</icon>
        <author_name><![CDATA[Chiara Bottaro, Thomas Martinoli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/S2A_Code/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[thmartin1296]]></uploaded_by>
        <create_date>2025-07-01T10:24:05.401996+00:00</create_date>
        <update_date>2025-07-06T18:57:38.529203+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ThomasMartinoli/Sentinel2Analyzer_QGISplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ThomasMartinoli/Sentinel2Analyzer_QGISplugin/tree/main/S2A_Code]]></repository>
        <tags><![CDATA[change detection,sentinel-2,multispectral satellite imagery,statistical analysis,stacking bands,multispectral indices computation]]></tags>
        <downloads>3879</downloads>
        <average_vote>2.692100607645566</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NMEA Visualizer" version="0.7" plugin_id="4012">
        <description><![CDATA[Visualize NMEA GNSS logs and optionally export to GPKG/SHP/KML]]></description>
        <about><![CDATA[Opens any GNSS nmea style file and adds it to map and optionally export to GPKG/SHP/KML]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.redcatch.at/qgisnmea/]]></homepage>
        <file_name>nmeavisualizer.0.7.zip</file_name>
        <icon>/media/packages/2025/icon_CQIyY3h.png</icon>
        <author_name><![CDATA[REDcatch GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nmeavisualizer/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[redcatch4d]]></uploaded_by>
        <create_date>2025-07-01T11:00:56.037482+00:00</create_date>
        <update_date>2025-09-29T09:02:27.123086+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://www.redcatch.at/qgisnmea/]]></tracker>
        <repository><![CDATA[https://github.com/REDcatch/nmeavisualizer_forQGIS3]]></repository>
        <tags><![CDATA[vector,points,gps,nmea,gngga]]></tags>
        <downloads>1242</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickAzimuthPlus" version="1.2.0" plugin_id="4013">
        <description><![CDATA[🧭 QuickAzimuth+: Create polygons from azimuth &amp; distance or reverse-engineer existing polygons, with CRS handling and UTM validation.]]></description>
        <about><![CDATA[QuickAzimuthPlus allows creating polygons by entering azimuths and distances or by selecting existing polygons to extract azimuth/distance. Supports CRS transformation (Minna / UTM 31N &amp; 32N), UTM bounds validation, and a modern emoji-based UI.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mikha651/QuickAzimuthPlus]]></homepage>
        <file_name>QuickAzimuthPlus.1.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_iOvmBS7.png</icon>
        <author_name><![CDATA[mikha651]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickAzimuthPlus/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[mikha651]]></uploaded_by>
        <create_date>2025-07-02T11:00:00.437030+00:00</create_date>
        <update_date>2025-08-29T13:06:06.983973+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mikha651/QuickAzimuthPlus/issues]]></tracker>
        <repository><![CDATA[https://github.com/mikha651/QuickAzimuthPlus]]></repository>
        <tags><![CDATA[distance,polygon,geometry,crs,plugin,utm,azimuth,qgis]]></tags>
        <downloads>1718</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ZoomScreenshotTool" version="1.0" plugin_id="4014">
        <description><![CDATA[Zooms to each feature in a layer and exports a screenshot named after an attribute]]></description>
        <about><![CDATA[Zooms to each feature in a selected vector layer and saves a map image using an attribute value as filename.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mikha651/ZoomScreenshotTool]]></homepage>
        <file_name>ZoomScreenshotTool.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_VrpHzl2.png</icon>
        <author_name><![CDATA[mikha651]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ZoomScreenshotTool/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mikha651]]></uploaded_by>
        <create_date>2025-07-04T13:07:46.420815+00:00</create_date>
        <update_date>2025-07-04T13:07:48.559895+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mikha651/ZoomScreenshotTool]]></tracker>
        <repository><![CDATA[https://github.com/mikha651/ZoomScreenshotTool/issues]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>866</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KMZ Tools" version="1.0.0" plugin_id="4018">
        <description><![CDATA[This plugin merges multiple vector layers into single kml and exports geotagged images layer into kmz with photos.]]></description>
        <about><![CDATA[KMZ tools make it easy to combine multiple vector layers into single kmz file which can be easily opened in google earth or any other GIS software. It also allows to export individual shapefile into kmz including the image file attached in the records of the file. The directory of the image should be in any one field which can be included in the kmz along with the features.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nirmalburlakoti/qgis-kmz-tools-plugin/#readme]]></homepage>
        <file_name>kmz_tools.1.0.0.zip</file_name>
        <icon>/media/packages/2025/logo_SG6cauI.svg</icon>
        <author_name><![CDATA[Nirmal Burlakoti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kmz_tools/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[nirmalb]]></uploaded_by>
        <create_date>2025-07-07T01:44:24.844827+00:00</create_date>
        <update_date>2025-07-07T01:44:27.821969+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nirmalburlakoti/qgis-kmz-tools-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/nirmalburlakoti/qgis-kmz-tools-plugin]]></repository>
        <tags><![CDATA[kmz,google,google earth]]></tags>
        <downloads>31382</downloads>
        <average_vote>4.774880627984301</average_vote>
        <rating_votes>40</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UniqueIDGenerator" version="2.1" plugin_id="4019">
        <description><![CDATA[为具有可自定义前缀和范围的矢量层生成唯一标识码BSM。
多图层处理，
以及字段名称定制。]]></description>
        <about><![CDATA[This plugin generates globally or layer-specific unique identifiers
for selected vector layers. It supports multilingual UI, user-defined field name,
prefix, and ID length, with optional global uniqueness.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gaojunke/UniqueIDGenerator]]></homepage>
        <file_name>UniqueIDGenerator.2.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[槐中路科科]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/UniqueIDGenerator/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[gaojunke]]></uploaded_by>
        <create_date>2025-07-07T05:35:14.448631+00:00</create_date>
        <update_date>2025-07-07T05:35:19.951639+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gaojunke/UniqueIDGenerator/issues]]></tracker>
        <repository><![CDATA[https://github.com/gaojunke/UniqueIDGenerator]]></repository>
        <tags><![CDATA[qgis plugin,batch update,unique id,attribute tool]]></tags>
        <downloads>397</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick Field Editor" version="0.1" plugin_id="4020">
        <description><![CDATA[Quick Field Editor is a QGIS plugin that simplifies attribute table updates with tools for serial numbers, geometry calculations (area, length, perimeter), coordinates, date, time, text replacement, and field concatenation]]></description>
        <about><![CDATA[Quick Field Editor is a user-friendly QGIS plugin designed to streamline attribute table management for vector layers. With an intuitive dialog, it allows users to update fields effortlessly without manual expressions. Key features include generating serial numbers, calculating area, length, and perimeter with customizable units (e.g., square meters, feet), extracting latitude and longitude from geometry centroids, setting date and time values (with calendar picker and format options), performing string search-and-replace, and concatenating multiple fields with optional separator text.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnustupJana/QuickFieldEditor-plugin/#readme]]></homepage>
        <file_name>quick_field_editor.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_3RlW5DI.png</icon>
        <author_name><![CDATA[Anustup Jana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick_field_editor/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[anustup]]></uploaded_by>
        <create_date>2025-07-07T21:02:34.183816+00:00</create_date>
        <update_date>2025-07-07T21:02:39.640742+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnustupJana/QuickFieldEditor-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnustupJana/QuickFieldEditor-plugin]]></repository>
        <tags><![CDATA[calculator,vector,time,search,attribute,database,attribute edit,attribute table,table,field,processing,date and time update,calculate geometry,field calculate,peremeter update,search and replace,length update,auto fields update,quick field editor,lat and long update,serial number update,quick field update,area update]]></tags>
        <downloads>3364</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Change Detection Tool" version="1.1" plugin_id="4021">
        <description><![CDATA[A plugin to perform change detection between two rasters by comparing pixel by pixel.]]></description>
        <about><![CDATA[This plugin allows you to compare two rasters classified with integer values ​​to identify, for example, changes between different land use/cover/consumption classes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/carminemassarelli/change_detection_tools]]></homepage>
        <file_name>change_detection_plugin.1.1.zip</file_name>
        <icon>/media/packages/2025/change_detection_4Ep2bEJ.png</icon>
        <author_name><![CDATA[Carmine Massarelli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/change_detection_plugin/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[carmassa78]]></uploaded_by>
        <create_date>2025-07-08T08:33:17.015414+00:00</create_date>
        <update_date>2025-07-11T09:21:20.399897+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/carminemassarelli/change_detection_tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/carminemassarelli/change_detection_tools/tree/main/change_detection_plugin]]></repository>
        <tags><![CDATA[raster,soil,change detection]]></tags>
        <downloads>1914</downloads>
        <average_vote>4.899510048995101</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Road Network Orientation OSMnx (Rose Diagram)" version="1.0.0" plugin_id="4022">
        <description><![CDATA[Road Network Orientation OSMnx (Rose Diagram) is a QGIS plugin that computes and visualizes street network orientation using OSMnx and Shannon entropy.
It supports two modes:
1. OSMnx Place(s) mode for querying places via Nominatim.
2. QGIS Layer mode for analyzing custom line layer data.]]></description>
        <about><![CDATA[This plugin enables urban morphology analysis by providing network subplots and orientation rose diagrams sorted by entropy.
It leverages OSMnx by Geoff Boeing for all network retrieval and bearing calculations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/Road-Network-Orientation-OSMnx]]></homepage>
        <file_name>roadnetwork_orientation_osmnx_rose.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_T76pZDz.png</icon>
        <author_name><![CDATA[Firman Afrianto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/roadnetwork_orientation_osmnx_rose/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2025-07-10T02:58:43.796615+00:00</create_date>
        <update_date>2025-07-10T02:58:46.735669+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/Road-Network-Orientation-OSMnx/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/Road-Network-Orientation-OSMnx]]></repository>
        <tags><![CDATA[qgis,rose diagram,urban morphology,entropy,osmnx,network orientation]]></tags>
        <downloads>1566</downloads>
        <average_vote>4.1244844394450695</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GSI Vector Tiles Downloader" version="1.2.1" plugin_id="4023">
        <description><![CDATA[国土地理院ベクトルタイルをダウンロードしベクタレイヤとして読み込むためのプラグイン。A plugin to download and decode GSI vector tiles.]]></description>
        <about><![CDATA[A plugin to download and decode &lt;a href=&#x27;https://www.gsi.go.jp&#x27;&gt;Geospatial Information Authority of Japan (GSI)&lt;/a&gt; vector tiles. User can choose zoom-level and source-layers to be downloaded.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MIERUNE/qgis-plugin-gsi-vt-downloader]]></homepage>
        <file_name>gsivtdownloader.1.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_qMPbWD5.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gsivtdownloader/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[mierune]]></uploaded_by>
        <create_date>2025-07-10T03:19:38.203313+00:00</create_date>
        <update_date>2026-03-16T13:11:39.369238+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/qgis-plugin-gsi-vt-downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/qgis-plugin-gsi-vt-downloader]]></repository>
        <tags><![CDATA[vector,python,download,vector tiles,gsi]]></tags>
        <downloads>2557</downloads>
        <average_vote>4.571102064138276</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lines to Polygon" version="1.2" plugin_id="4024">
        <description><![CDATA[Convert group of lines to polygon]]></description>
        <about><![CDATA[Convert group of lines to polygon]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mercerraa.github.io/]]></homepage>
        <file_name>LinesToPolygon.1.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Andrew Mercer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LinesToPolygon/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[mercerraa]]></uploaded_by>
        <create_date>2025-07-10T13:14:34.051755+00:00</create_date>
        <update_date>2025-07-22T11:38:56.747172+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mercerraa/LinesToPolygon/issues]]></tracker>
        <repository><![CDATA[https://github.com/mercerraa/LinesToPolygon]]></repository>
        <tags><![CDATA[vector]]></tags>
        <downloads>1744</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CoordinateTxtExporter" version="1.0" plugin_id="4026">
        <description><![CDATA[Coordinate TXT ⇄ Vector tools (multi-ring support)]]></description>
        <about><![CDATA[提供“Vector → TXT”与“TXT → Vector”两款 Processing 工具，支持多环/空洞、动态摘要行与自定义头部。联系人：槐中路科科 996517087@qq.com]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gaojunke/CoordinateTxtExporter]]></homepage>
        <file_name>CoordinateTxtExporter_v3.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[槐中路科科]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CoordinateTxtExporter_v3/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gaojunke]]></uploaded_by>
        <create_date>2025-07-11T02:39:05.849628+00:00</create_date>
        <update_date>2025-11-17T11:21:41.745942+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gaojunke/CoordinateTxtExporter/issues]]></tracker>
        <repository><![CDATA[https://github.com/gaojunke/CoordinateTxtExporter]]></repository>
        <tags><![CDATA[export,import,processing,coordinate,txt]]></tags>
        <downloads>1489</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LiveMeasure" version="0.1.0" plugin_id="4027">
        <description><![CDATA[Displays real-time distances and areas directly on the map while digitizing features.]]></description>
        <about><![CDATA[This plugin provides dynamic distance and area measurement tools directly within the QGIS editing environment. As you draw line or polygon geometries, it calculates and displays the length or surface area in real time, helping ensure precision while digitizing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/amrHH/LiveMeasure]]></homepage>
        <file_name>LiveMeasure.0.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_IsHK1wl.png</icon>
        <author_name><![CDATA[Amr HAMADEH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LiveMeasure/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[amrhh]]></uploaded_by>
        <create_date>2025-07-11T10:19:18.579119+00:00</create_date>
        <update_date>2025-07-11T10:19:20.289352+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/amrHH/LiveMeasure/issues]]></tracker>
        <repository><![CDATA[https://github.com/amrHH/LiveMeasure]]></repository>
        <tags><![CDATA[editing,python,attribute edit,distance,polygon,polyline,geometry,topography,measurement,measure,surface]]></tags>
        <downloads>2483</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Flai" version="2.1.0" plugin_id="4028">
        <description><![CDATA[Provides GUI access to Flai’s Open Lidar Data Hub and local control over the Flai CLI for AI-powered geospatial classification.]]></description>
        <about><![CDATA[This QGIS plugin offers access to Open Lidar Data Hub an expanding public repository of high-resolution lidar datasets available for exploration and download directly within QGIS.

In addition, it integrates with the Flai Processing Engine, enabling you to run Flai’s pretrained AI classifiers on your own hardware via the Flai CLI. These classifiers support automatic object recognition across a wide range of aerial, mobile, and forestry use cases — including detection of ground, buildings, power line wires, towers, bridges, tree trunks, fallen trees, and more.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/flai_cli_interface/]]></homepage>
        <file_name>flai_cli_interface.2.1.0.zip</file_name>
        <icon>/media/packages/2026/FLAI-sign-gradient-cropped_4w1GTlu.png</icon>
        <author_name><![CDATA[Flai d.o.o]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flai_cli_interface/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[flai]]></uploaded_by>
        <create_date>2025-07-12T19:02:38.797257+00:00</create_date>
        <update_date>2026-04-10T11:07:53.841791+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/flai-ai/flai-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/flai-ai/flai-qgis-plugin]]></repository>
        <tags><![CDATA[vector,raster,classification,windows,open data,biomasse,urban,lidar,point cloud,forestry,vegetation,segmentation,bathymetry,deep learning,ai,linux,aerial mapping,open lidar,macos,powerline]]></tags>
        <downloads>1894</downloads>
        <average_vote>4.142265390658477</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoReminder" version="1.0.0" plugin_id="4030">
        <description><![CDATA[Attach reminders to map features, get notified inside QGIS, and export assigned tasks for your team.]]></description>
        <about><![CDATA[GeoReminder lets you attach reminders to selected features on the QGIS canvas and receive popup alerts at scheduled times. You can also export reminders with task info to assign them to team members — each reminder remains linked to its spatial feature and owner.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gisschools.com/qplugins/]]></homepage>
        <file_name>georeminder.1.0.0.zip</file_name>
        <icon>/media/packages/2025/georeminder_icon_BVOOky9.png</icon>
        <author_name><![CDATA[Muhammad Sohail Akbar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/georeminder/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[sohailgoheer]]></uploaded_by>
        <create_date>2025-07-13T06:47:30.367689+00:00</create_date>
        <update_date>2025-07-13T06:47:32.520471+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sohailgoheer/georeminder/issues]]></tracker>
        <repository><![CDATA[https://github.com/sohailgoheer/georeminder]]></repository>
        <tags><![CDATA[productivity,team,gis,qgis,temporal,alert,reminder,task,notifications]]></tags>
        <downloads>757</downloads>
        <average_vote>4.940885830245279</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Select Features by Boundary" version="0.1" plugin_id="4032">
        <description><![CDATA[A QGIS plugin that allows users to select all features within a clicked boundary polygon from another visible vector layer with a single click]]></description>
        <about><![CDATA[The Select Features in Boundary Plugin provides a user-friendly tool for QGIS to select features within a polygon boundary with a single click. Designed to streamline spatial selection tasks, the plugin automatically detects the boundary layer as the visible polygon layer with the largest spatial extent in the Layers Panel. The active layer (or another visible vector layer) is used as the target layer, from which features are selected if they are within or intersect the clicked boundary polygon.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnustupJana/SelectFeaturesbyBoundary-plugin/#readme]]></homepage>
        <file_name>select_features_by_boundary.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_HpOLfJA.png</icon>
        <author_name><![CDATA[Anustup Jana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/select_features_by_boundary/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[anustup]]></uploaded_by>
        <create_date>2025-07-13T18:56:18.317858+00:00</create_date>
        <update_date>2025-07-13T18:56:21.003293+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnustupJana/SelectFeaturesbyBoundary-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnustupJana/SelectFeaturesbyBoundary-plugin]]></repository>
        <tags><![CDATA[vector,feature,shapefile,intersection,select,geometry,layers,select features by boundary,one click selection,features selection,select features,boundary selection]]></tags>
        <downloads>1614</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QChat" version="1.3.0" plugin_id="4033">
        <description><![CDATA[This plugin allows one to chat with other QGIS users connected at the same time.]]></description>
        <about><![CDATA[&quot;Let&#x27;s chat with your fellow GIS mates in QGIS !&quot;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geotribu.github.io/qchat/]]></homepage>
        <file_name>qchat.1.3.0.zip</file_name>
        <icon>/media/packages/2026/logo_qchat_GFkns6q.svg</icon>
        <author_name><![CDATA[Guilhem Allaman (Geotribu), Julien Moura (Geotribu)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qchat/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[geotribu]]></uploaded_by>
        <create_date>2025-07-15T01:45:37.381184+00:00</create_date>
        <update_date>2026-01-25T13:37:41.713777+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geotribu/qchat/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geotribu/qchat]]></repository>
        <tags><![CDATA[community,social,geotribu,chat]]></tags>
        <downloads>2567</downloads>
        <average_vote>4.368191147834324</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QgisFieldMapper" version="1.0" plugin_id="4034">
        <description><![CDATA[将外部数据映射或追加到本身图层，可选择字段映射关系。]]></description>
        <about><![CDATA[这是一个QGIS插件，用于将外部矢量数据映射或追加到已有图层中。用户可以选择字段映射关系，支持多种矢量数据格式。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gaojunke/QgisFieldMapper]]></homepage>
        <file_name>QgisFieldMapper.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[槐中路科科]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QgisFieldMapper/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gaojunke]]></uploaded_by>
        <create_date>2025-07-15T03:34:43.216671+00:00</create_date>
        <update_date>2025-07-15T03:34:45.946338+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gaojunke/QgisFieldMapper/issues]]></tracker>
        <repository><![CDATA[https://github.com/gaojunke/QgisFieldMapper]]></repository>
        <tags><![CDATA[vector,field,join,mapping,append]]></tags>
        <downloads>957</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DGT CDD Downloader" version="0.1" plugin_id="4035">
        <description><![CDATA[Download geospatial data from the DGT (Direção-Geral do Território) CDD Portal.]]></description>
        <about><![CDATA[&lt;div style=&quot;max-width:33em&quot;&gt;A plugin for the &lt;a href=&quot;https://cdd.dgterritorio.gov.pt/&quot;&gt;DGT CDD Portal&lt;/a&gt;

&lt;ul&gt;&lt;li&gt;&lt;strong&gt;PT&lt;/strong&gt; - Este plugin adiciona uma ferramenta ao QGIS Processing Toolbox, para descarregar vários conjuntos de dados geoespaciais (LiDAR, MDS, MDT) do portal português DGT CDD. Permite a autenticação, divide grandes áreas em partes mais pequenas, organiza os ficheiros descarregados e pode, opcionalmente, criar e carregar VRTs para dados raster.

Para executar eficazmente o plugin é necessário registar-se em &lt;a href=&quot;https://cdd.dgterritorio.gov.pt/&quot;&gt;https://cdd.dgterritorio.gov.pt/&lt;/a&gt;.

Ferramenta desenvolvida pela comunidade e não afiliada com a Direção-Geral do Território!&lt;/li&gt;

&lt;li&gt;&lt;strong&gt;EN&lt;/strong&gt; - This plugin adds a tool to the QGIS Processing Toolbox to download various geospatial datasets (LiDAR, MDS, MDT) from the Portuguese DGT CDD Portal. It handles authentication, divides large areas into smaller chunks, organizes downloaded files, and can optionally create and load VRTs for raster data.

To effectively run the plugin you&#x27;ll need to register at &lt;a href=&quot;https://cdd.dgterritorio.gov.pt/&quot;&gt;https://cdd.dgterritorio.gov.pt/&lt;/a&gt;.

Tool developed by the community and not affiliated with Direção-Geral do Território!&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/qgispt/dgtcd_downer]]></homepage>
        <file_name>dgt_cdd_downloader.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_MuxOLuz.png</icon>
        <author_name><![CDATA[Duarte Carreira, Hugo Santos, Pedro Venâncio]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dgt_cdd_downloader/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[qgispt]]></uploaded_by>
        <create_date>2025-07-15T12:10:11.719520+00:00</create_date>
        <update_date>2025-07-15T12:10:13.630755+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgispt/dgtcd_downer/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgispt/dgtcd_downer]]></repository>
        <tags><![CDATA[raster,processing,download,lidar,portugal,dgt,mds,mdt,cdd]]></tags>
        <downloads>4026</downloads>
        <average_vote>4.8619013137478015</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Top10NL Downloader" version="1.0" plugin_id="4036">
        <description><![CDATA[Download Top10NL features via the PDOK OGC-API Features service.]]></description>
        <about><![CDATA[This plugin downloads Top10NL features from the Dutch PDOK service via OGC-API Features. It allows specifying which feature types to download, the extent, and where to save the output.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wvdbee/top10nl_downloader]]></homepage>
        <file_name>top10nl_downloader.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_7G8iP0c.png</icon>
        <author_name><![CDATA[wvdbee, with help from Claude and CoPilot.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/top10nl_downloader/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[wvdbee]]></uploaded_by>
        <create_date>2025-07-15T12:31:13.201351+00:00</create_date>
        <update_date>2025-10-14T15:23:51.902289+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wvdbee/top10nl_downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/wvdbee/top10nl_downloader]]></repository>
        <tags><![CDATA[pdok,download,ogc api features,netherlands,base map,top10nl,dutch,brt]]></tags>
        <downloads>2114</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RandomPolygons" version="0.5" plugin_id="4037">
        <description><![CDATA[Generate random polygons inside the current map extent with configurable parameters. Deutsch: Generiert n zufällige Polygone im aktuellen Kartenausschnitt (inklusive Anteil ungültiger Polygone).]]></description>
        <about><![CDATA[Die unkomplizierte Generierung zufälliger, teilweise auch fehlerbehafteter Testdaten kann für Entwicklung und Test von GI-Systemen sehr wichtig sein. Das Plugin RandomPolygons generiert n zufällige Polygone in der Ausdehnung des aktuellen Kartenausschnittes und im aktuellen Koordinatenbezugssystem. Nutzerparameter: Anzahl der Polygone, max. Anzahl der Ecken, Anteil ungültiger Polygone, relative Ausdehnung. / The uncomplicated generation of random test data, sometimes with errors, can be very important for the development and testing of GI systems. The RandomPolygons plugin generates n random polygons in the extent of the current map section and in the current coordinate reference system. User parameters: number of polygons, max. corners, invalid polygon ratio, relative extent.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoobserver.de/qgis-plugin-RandomPolygons/]]></homepage>
        <file_name>randompolygons.0.5.zip</file_name>
        <icon>/media/packages/2026/logo_EwTaeI1.png</icon>
        <author_name><![CDATA[Mike Elstermann (#geoObserver)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/randompolygons/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[geoobserver]]></uploaded_by>
        <create_date>2025-07-16T06:57:03.582653+00:00</create_date>
        <update_date>2026-02-27T11:11:21.496911+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoObserver/RandomPolygons/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geoObserver/RandomPolygons/]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1172</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TEKSI Module Management Tool (TMMT)" version="1.5.0" plugin_id="4038">
        <description><![CDATA[This is the management tool for every TEKSI Module installation and upgrade]]></description>
        <about><![CDATA[This is the management tool for every TEKSI Module installation and upgrade]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.teksi.ch/]]></homepage>
        <file_name>teksi_module_management_tool.1.5.0.zip</file_name>
        <icon>/media/packages/2026/tmmt-logo_7BJ0npy.png</icon>
        <author_name><![CDATA[TEKSI]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/teksi_module_management_tool/version/1.5.0/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2025-07-16T09:19:04.663509+00:00</create_date>
        <update_date>2026-04-08T05:35:50.957760+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/teksi/TMMT/issues]]></tracker>
        <repository><![CDATA[https://github.com/teksi/TMMT]]></repository>
        <tags><![CDATA[project,postgis,postgres,plugin,qgis,management,module,teksi,installation,upgrade]]></tags>
        <downloads>2231</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Zone de desserte" version="1.0.0" plugin_id="4039">
        <description><![CDATA[Extension visant à créer une zone de desserte avec un tampon]]></description>
        <about><![CDATA[Crée une zone de desserte avec un tampon]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LeoObucina/zone_desserte]]></homepage>
        <file_name>zone_desserte.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_aPVGwLh.png</icon>
        <author_name><![CDATA[Léo Obucina]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/zone_desserte/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[ace977]]></uploaded_by>
        <create_date>2025-07-17T09:00:39.676795+00:00</create_date>
        <update_date>2025-07-17T09:00:41.459493+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LeoObucina/zone_desserte/issues]]></tracker>
        <repository><![CDATA[https://github.com/LeoObucina/zone_desserte]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>431</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sewercalc" version="1.2" plugin_id="4045">
        <description><![CDATA[Dimensionamento de Redes Coletoras de Esgoto (RCE)]]></description>
        <about><![CDATA[Plugin para dimensionamento hidráulico de redes coletoras de esgoto, com base na norma NBR 14.486/2000. Utiliza processo iterativo de cálculo de declividades para minimizar a profundidade de escavação. Automatiza etapas como organização dos dados, nomeação de coletores, importação de cotas, caracterização de poços de visita, geração de perfis longitudinais e exportação de resultados em planilha e XML. Requer conhecimento prévio em projetos de redes de esgoto para interpretação técnica dos resultados. (NECESSÁRIO QGIS ATUALIZADO &gt; 3.30)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/WanderiloLima2025/Sewercalc]]></homepage>
        <file_name>Plugin_Sewercalc.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_AgwOpaz.png</icon>
        <author_name><![CDATA[Eng. Wanderilo Lima, Engª. Ma. Lívia Albuquerque]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Plugin_Sewercalc/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[wal25]]></uploaded_by>
        <create_date>2025-07-18T10:39:39.901478+00:00</create_date>
        <update_date>2025-10-01T19:30:13.606919+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WanderiloLima2025/Sewercalc/issues]]></tracker>
        <repository><![CDATA[https://github.com/WanderiloLima2025/Sewercalc/tree/Core]]></repository>
        <tags><![CDATA[python,dimensionamento,redes coletora de esgoto]]></tags>
        <downloads>587</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SatSDM" version="1.0.1" plugin_id="4046">
        <description><![CDATA[Satellite-Derived Species Distribution Model]]></description>
        <about><![CDATA[The SatSDM is a QGIS plugin designed to facilitate species distribution modeling using satellite imagery and environmental data. It enables users to analyze vegetation indices, terrain features, and land cover proximity, and perform modeling using Maxent. This tool is intended for researchers and practitioners working on biodiversity conservation, ecological modeling, and remote sensing analysis. With an intuitive interface, SatSDM allows for seamless integration of satellite data (e.g., KOMPSAT, Sentinel, Landsat) and provides outputs that assist in species habitat prediction and environmental assessment.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/osgeokr/satsdm]]></homepage>
        <file_name>satsdm.1.0.1.zip</file_name>
        <icon>/media/packages/2025/logo_9GTpeKl.png</icon>
        <author_name><![CDATA[Byeonghyeok Yu, ChungHyeon Oh, SooDong Lee, JeongHo Lee]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/satsdm/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[bhyu]]></uploaded_by>
        <create_date>2025-07-19T18:58:55.583523+00:00</create_date>
        <update_date>2025-10-25T02:45:00.636922+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/osgeokr/satsdm/issues]]></tracker>
        <repository><![CDATA[https://github.com/osgeokr/satsdm.git]]></repository>
        <tags><![CDATA[landsat,sdm,sentinel,qgis,kompsat]]></tags>
        <downloads>1074</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Rain to Flood Analysis" version="2.2" plugin_id="4048">
        <description><![CDATA[A comprehensive hydrological analysis tool that transforms rainfall data into flood inundation maps. The plugin performs rainfall frequency analysis, runoff calculations using SCS methods, generates flood hydrographs, creates flood inundation maps, and produces HEC-HMS compatible outputs. It supports multiple rainfall data sources including IMD, CHIRPS, Open-Meteo, and Excel files for both daily and hourly analysis.]]></description>
        <about><![CDATA[This advanced hydrological plugin processes rainfall data from multiple sources (IMD, CHIRPS, Open-Meteo, Excel) to perform comprehensive flood analysis. Key features include: 24-hour standard flood analysis, flash flood analysis with hourly data, DEM and slope processing, frequency analysis using Gumbel/Log-Pearson III/GEV methods, SCS Curve Number runoff calculations, unit hydrograph generation, flood inundation mapping, and HEC-HMS input file export. The plugin is designed for hydrologists, water resources engineers, and flood risk assessment professionals.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rahulpandey696/Rain2Flood]]></homepage>
        <file_name>Rain2Flood.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_tWlqTcJ.png</icon>
        <author_name><![CDATA[Rahul Pandey]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Rain2Flood/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[rahulpandey696]]></uploaded_by>
        <create_date>2025-07-20T04:53:10.701274+00:00</create_date>
        <update_date>2026-03-29T10:25:02.926263+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rahulpandey696/Rain2Flood/issues]]></tracker>
        <repository><![CDATA[https://github.com/rahulpandey696/Rain2Flood]]></repository>
        <tags><![CDATA[analysis,water,hydrology,flood,rainfall,inundation,hec-hms,discharge,open-meteo,chirps,imd,frequency-analysis,unit-hydrograph,scs-curve-number]]></tags>
        <downloads>7773</downloads>
        <average_vote>4.829684474798409</average_vote>
        <rating_votes>47</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SmartCSV Exporter" version="1.0" plugin_id="4049">
        <description><![CDATA[Export selected features and fields from QGIS layers to CSV.]]></description>
        <about><![CDATA[SmartCSV Exporter helps users export attribute data to CSV with precision.\n- Selection of specific vector layers and fields\n- Optional expression-based filtering\n- Export of only selected features\n- Output to UTF-8 encoded CSV using native QGIS tools]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Lalitgis/SmartCSV-Exporter_QGISPlugin]]></homepage>
        <file_name>SmartCSV_Exporter.1.0.zip</file_name>
        <icon>/media/packages/2025/logo_dsglVX8.png</icon>
        <author_name><![CDATA[Lalit BC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SmartCSV_Exporter/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[lalitbc143]]></uploaded_by>
        <create_date>2025-07-20T08:29:13.770298+00:00</create_date>
        <update_date>2025-07-20T08:29:15.564770+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Lalitgis/SmartCSV-Exporter_QGISPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Lalitgis/SmartCSV-Exporter_QGISPlugin.git]]></repository>
        <tags><![CDATA[Attribute Table,Batch Export,Quick Exporter,CSV]]></tags>
        <downloads>1115</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Smart GIS Loader" version="1.0.0" plugin_id="4050">
        <description><![CDATA[A QGIS plugin for loading GIS files with advanced CRS selection capabilities]]></description>
        <about><![CDATA[This plugin enables loading various GIS formats (Shapefile, GeoJSON, etc.) with customizable coordinate system selection]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MostafaShiyari/SmartGISLoader]]></homepage>
        <file_name>SmartLoader.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_OA9XReA.png</icon>
        <author_name><![CDATA[Mostafa Shiyari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SmartLoader/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mostafashiyari]]></uploaded_by>
        <create_date>2025-07-20T14:43:21.626393+00:00</create_date>
        <update_date>2025-07-20T14:43:23.525422+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MostafaShiyari/SmartGISLoader/issues]]></tracker>
        <repository><![CDATA[https://github.com/MostafaShiyari/SmartGISLoader]]></repository>
        <tags><![CDATA[shapefile,crs,geojson,gis,loader,coordinate system]]></tags>
        <downloads>894</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArcGeek Survey" version="1.1.0" plugin_id="4051">
        <description><![CDATA[Create and manage georeferenced surveys with mobile data collection and PostgreSQL/PostGIS integration]]></description>
        <about><![CDATA[ArcGeek Survey enables creation of spatial surveys with mobile GPS data collection, PostgreSQL/PostGIS database integration, and real-time form management. Build location-based surveys, collect field data through web interface, and visualize responses in QGIS. Supports both Qt5 and Qt6 for compatibility with current and future QGIS versions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://acolita.com/survey]]></homepage>
        <file_name>arcgeek_survey.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_XZKgMfA.png</icon>
        <author_name><![CDATA[ArcGeek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arcgeek_survey/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[franzpc]]></uploaded_by>
        <create_date>2025-07-20T17:05:10.911908+00:00</create_date>
        <update_date>2026-03-27T15:45:45.545472+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/franzpc/arcgeek_survey/issues]]></tracker>
        <repository><![CDATA[https://github.com/franzpc/arcgeek_survey]]></repository>
        <tags><![CDATA[postgis,mobile,table,gps,spatial,survey,postgresql,forms,qfield,data collection,fieldwork,supabase,survey123]]></tags>
        <downloads>3512</downloads>
        <average_vote>4.199720018665422</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Table to Point Layer" version="1.0" plugin_id="4052">
        <description><![CDATA[Convert Excel/CSV files to point layers with coordinate mapping]]></description>
        <about><![CDATA[Transform tabular data into spatial layers with custom X/Y field selection]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MostafaShiyari/TableToPointLayer]]></homepage>
        <file_name>TableToPointLayer.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_YT7XlGH.png</icon>
        <author_name><![CDATA[Mostafa Shiyari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TableToPointLayer/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mostafashiyari]]></uploaded_by>
        <create_date>2025-07-20T17:32:45.349607+00:00</create_date>
        <update_date>2025-07-20T17:32:48.520306+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MostafaShiyari/TableToPointLayer/issues]]></tracker>
        <repository><![CDATA[https://github.com/MostafaShiyari/TableToPointLayer]]></repository>
        <tags><![CDATA[excel,points,csv,conversion,gis]]></tags>
        <downloads>1864</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CSV Geometry Export" version="1.0.2" plugin_id="4053">
        <description><![CDATA[Export vector layers as CSV with multiple geometry formats (WKT, WKB, GeoJSON, KML, Earth Engine, X-Y coordinates). Part of MAS Vector Processing tools.]]></description>
        <about><![CDATA[Export vector layers to CSV with customizable geometry formats.

GEOMETRY FORMATS:
• WKT, WKB, EWKT, EWKB (with SRID)
• GeoJSON, KML, Earth Engine
• X-Y Coordinates (centroid for polygons/lines)

KEY FEATURES:
• Select input layer from dropdown or browse file
• Choose geometry output format
• Keep original WKT geometry as additional column
• Export selected features only
• Custom field names and separator options
• CRS transformation support
• Multiple encoding options

HOW TO USE:
1. Right-click layer → Export as CSV with Geometry
2. Or use toolbar/menu: MAS Vector Processing → CSV Geometry Export
3. Select geometry format, fields, and output options
4. Click OK to export]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/csv-geometry-export]]></homepage>
        <file_name>csv_geometry_export.1.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_mpVECZQ.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/csv_geometry_export/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2025-07-20T17:59:46.608344+00:00</create_date>
        <update_date>2025-12-21T16:55:13.395352+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/csv-geometry-export/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/csv-geometry-export]]></repository>
        <tags><![CDATA[vector,wkt,export,kml,geometry,wkb,csv,coordinates,geojson,earth engine]]></tags>
        <downloads>4471</downloads>
        <average_vote>4.713612341094129</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AutoLoadDATPlus" version="4.0" plugin_id="4054">
        <description><![CDATA[Automatically loads .dat files with predefined geometry]]></description>
        <about><![CDATA[AutoLoadDATPlus allows users to load space-separated .dat files as point layers. It preprocesses, cleans, and maps fields to X, Y, and Z automatically.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>autoloaddatplus.4.0.zip</file_name>
        <icon>/media/packages/2025/icon_3lznQqO.png</icon>
        <author_name><![CDATA[Prajwal Kalashetty]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/autoloaddatplus/version/4.0/download/</download_url>
        <uploaded_by><![CDATA[geoos86]]></uploaded_by>
        <create_date>2025-07-22T06:18:04.124970+00:00</create_date>
        <update_date>2025-07-22T06:18:06.901020+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Hubber86/AutoLoadDATPlus/issues]]></tracker>
        <repository><![CDATA[https://github.com/Hubber86/AutoLoadDATPlus]]></repository>
        <tags><![CDATA[vector,csv,loader,dat,xyz,automation,point layer]]></tags>
        <downloads>832</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Display your routing results from OSRM service]]></description>
        <about><![CDATA[OSRM (Open Source Routing Machine) plugin for QGIS, allowing to query a local/distant OSRM server API in order to display route(s), draw accessibility isochrones and export time-distance matrix. Requires Python modules numpy, matplotlib, scipy, and shapely.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>4.1.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/strues-maps/qgis_osrm]]></homepage>
        <file_name>qgis_osrm.1.0.5.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[strues-maps]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_osrm/version/1.0.5/download/</download_url>
        <uploaded_by><![CDATA[akas]]></uploaded_by>
        <create_date>2025-07-22T12:58:42.860688+00:00</create_date>
        <update_date>2026-04-18T14:54:43.128732+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/strues-maps/qgis_osrm/issues]]></tracker>
        <repository><![CDATA[https://github.com/strues-maps/qgis_osrm]]></repository>
        <tags><![CDATA[routing,openstreetmap,osm,open source routing machine,osrm,isochrone,route matching,traveling salesman problem,route snapping,route tables]]></tags>
        <downloads>3234</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cloud Mask Sentinel-2" version="0.4" plugin_id="4059">
        <description><![CDATA[Masking cloud, shadows and snows on Sentinel-2]]></description>
        <about><![CDATA[This plugin helps to mask cloud, cloud-shadow and snow in Sentinel-2 (L1C) imagery, provide cloudless single-scene or mosaic images, based on ESA&#x27;s s2cloudless algorithm.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/thanhgis/s2cloudmask]]></homepage>
        <file_name>s2cloudmask.0.4.zip</file_name>
        <icon>/media/packages/2025/icon_9Vww5Nb.png</icon>
        <author_name><![CDATA[Thanh@JAFTA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/s2cloudmask/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[thanhgis]]></uploaded_by>
        <create_date>2025-07-23T09:18:16.886821+00:00</create_date>
        <update_date>2025-07-28T16:23:58.983187+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/thanhgis/s2cloudmask/issues]]></tracker>
        <repository><![CDATA[https://github.com/thanhgis/s2cloudmask]]></repository>
        <tags><![CDATA[python,remote sensing,sentinel-2,cloudless,sentinel 2,s2cloudless,cloud-masking,cloud mask]]></tags>
        <downloads>1538</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Gruhanaksha" version="3.3.0" plugin_id="4061">
        <description><![CDATA[Gruhanaksha is developed specifically to support the deliverables of the SVAMITVA by offering various tools Polygon adjuster, Plotter, auto backup and save , free hand adjuster, ppm generation, other tools for geometry adjustments and manipulation]]></description>
        <about><![CDATA[Gruhanaksha is a QGIS plugin developed specifically to support the deliverables of the SVAMITVA by offering various tools Polygon adjuster, Plotter, auto backup and save , free hand adjuster, ppm generation, other tools for geometry adjustments and manipulation]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.26.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://surveyorstories.github.io/gruhanakshaweb]]></homepage>
        <file_name>gruhanaksha.3.3.0.zip</file_name>
        <icon>/media/packages/2026/ppm_Xww8ivj.svg</icon>
        <author_name><![CDATA[Surveyor Stories]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gruhanaksha/version/3.3.0/download/</download_url>
        <uploaded_by><![CDATA[lokeshmetta]]></uploaded_by>
        <create_date>2025-07-23T17:56:06.056362+00:00</create_date>
        <update_date>2026-03-05T15:29:47.839506+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/surveyorstories/gruhanaksha/issues]]></tracker>
        <repository><![CDATA[https://github.com/surveyorstories/gruhanaksha]]></repository>
        <tags><![CDATA[geometry,svamitva,resurvey,ppm,polygon adjuster,triangle,autocad aligner,auto backup and auto save,csv importer,auto lpnumbering]]></tags>
        <downloads>7747</downloads>
        <average_vote>4.687353520202494</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CTX Polar Toolbox" version="0.2.2" plugin_id="4062">
        <description><![CDATA[Edits custom CTX Polar CRS]]></description>
        <about><![CDATA[This plug-in aims to correct a built-in incompatibility in the custom CRS provided in Mars Reconnaissance Orbiter (MRO) Context Camera (CTX) images, by automatically editing Polar CRS of CTX images when imported.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/krockdurr/CTX_Polar_Toolbox]]></homepage>
        <file_name>ctx_polar_crs_toolbox.0.2.2.zip</file_name>
        <icon>/media/packages/2026/logo_with_text_pDrHRdj.png</icon>
        <author_name><![CDATA[Quentin Betton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ctx_polar_crs_toolbox/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[quentinbetton]]></uploaded_by>
        <create_date>2025-07-25T07:18:56.110205+00:00</create_date>
        <update_date>2026-01-30T09:16:03.181674+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/krockdurr/CTX_Polar_Toolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/krockdurr/CTX_Polar_Toolbox]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>440</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="istat_boundaries_downloader" version="0.5" plugin_id="4065">
        <description><![CDATA[Download Italian administrative boundaries (ISTAT) from onData API]]></description>
        <about><![CDATA[This plugin allows downloading Italian administrative boundaries (ISTAT) through the onData API. It enables users to access, download and work with official Italian administrative boundary data directly within QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ondata/istat_boundaries_downloader/blob/main/README.md]]></homepage>
        <file_name>istat_boundaries_downloader.0.5.zip</file_name>
        <icon>/media/packages/2026/icon_jWqWYmw.png</icon>
        <author_name><![CDATA[Salvatore Fiandaca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/istat_boundaries_downloader/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[toto71]]></uploaded_by>
        <create_date>2025-07-26T16:06:05.510354+00:00</create_date>
        <update_date>2026-03-17T10:41:12.358372+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ondata/istat_boundaries_downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/ondata/istat_boundaries_downloader/blob/main/README.md]]></repository>
        <tags><![CDATA[catasto,italia,particelle,fogli,regione]]></tags>
        <downloads>1554</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Marcos_de_plantacion" version="1.0" plugin_id="4070">
        <description><![CDATA[Este complemento permite generar automáticamente puntos dentro de polígonos seleccionados, simulando marcos de plantación. In english: Generate planting grids inside selected polygons with adjustable spacing, pattern and orientation.]]></description>
        <about><![CDATA[Distribución de puntos en marcos de plantación:Rectangular, Tresbolillo, Real. Orientación personalizada mediante ángulo definido por el usuario. Parámetro de distancia entre plantas (en metros).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mluciafourcade/Plugin-Qgis]]></homepage>
        <file_name>Marcos_de_plantacion.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_G760dta.png</icon>
        <author_name><![CDATA[mluciafourcade]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Marcos_de_plantacion/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mlucia]]></uploaded_by>
        <create_date>2025-07-27T11:09:44.698922+00:00</create_date>
        <update_date>2025-07-27T11:09:46.691801+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mluciafourcade/Plugin-Qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/mluciafourcade/Plugin-Qgis]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>545</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QUtility" version="6.2" plugin_id="4073">
        <description><![CDATA[A multifunction toolbox for QGIS: rename layers, change field types, import shapefiles from ZIPs, and more, all in just a few clicks.]]></description>
        <about><![CDATA[This QGIS plugin offers a collection of practical tools designed to streamline daily operations in geographic data management. It includes useful functions such as bulk layer renaming, modifying field types in attribute tables, automatic loading of shapefiles from folders (including nested ZIP archives), and much more. It&#x27;s ideal for anyone who frequently works with large quantities of vector data and wants to speed up repetitive tasks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.9</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AlunniEagle/qutility]]></homepage>
        <file_name>qutility.6.2.zip</file_name>
        <icon>/media/packages/2026/icon_8VE5HeD.png</icon>
        <author_name><![CDATA[GIS Team Eagleprojects S.p.A. [Lorenzo Alunni, Marco Peppucci]]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qutility/version/6.2/download/</download_url>
        <uploaded_by><![CDATA[gisteam]]></uploaded_by>
        <create_date>2025-07-29T14:03:17.199897+00:00</create_date>
        <update_date>2026-01-22T16:09:13.597142+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AlunniEagle/qutility/issues]]></tracker>
        <repository><![CDATA[https://github.com/AlunniEagle/qutility]]></repository>
        <tags><![CDATA[vector,select,polygon,line,processing,layers,utility]]></tags>
        <downloads>2507</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SEILAPLAN" version="3.7.1" plugin_id="4076">
        <description><![CDATA[Seilkran-Layoutplaner — A cable road layout planner]]></description>
        <about><![CDATA[SEILAPLAN ermöglicht die einfache und effiziente Planung von Seillinien unter Berücksichtigung topographischer Gegebenheiten. Die implementierte Berechnungsmethode basiert auf der Methode von Zweifel (1960) und beschreibt die Kettenlinie, unter Annahme einer beidseitig fixierten Verankerung des Tragseils.

SEILAPLAN wurde spezifisch für die Bedürfnisse von forstlichen Seilkrananlagen entwickelt. Die Berechnung ist jedoch für alle Seilsysteme mit beidseitig verankertem Tragseil anwendbar, also beispielsweise auch für Materialseilbahnen.

Dieses QGIS-Plugin ist ein Hilfsmittel. Jede Lösung muss vor Umsetzung durch eine geschulte Fachperson geprüft werden. Jegliche Haftung wird im Rahmen der GNU General Public Licence Version 2 oder neuere ausgeschlossen (www.gnu.org/licenses).

Dokumentation: https://seilaplan.wsl.ch

--------------------------------------
Bont, Moll, Ramstein, Frutig, Heinimann, Schweier (2022). Introducing Seilaplan, a QGIS plugin for cable road layout planning. Croatian Journal of Forest Engineering, 2022. https://doi.org/10.5552/crojfe.2022.1824]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://seilaplan.wsl.ch]]></homepage>
        <file_name>SEILAPLAN.3.7.1.zip</file_name>
        <icon>/media/packages/2025/icon_app_BXobULO.png</icon>
        <author_name><![CDATA[Bont, Moll, Ramstein, Frutig, Heinimann, Schweier]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SEILAPLAN/version/3.7.1/download/</download_url>
        <uploaded_by><![CDATA[pimoll]]></uploaded_by>
        <create_date>2025-07-30T08:36:34.921679+00:00</create_date>
        <update_date>2025-08-14T06:13:12.374704+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/piMoll/SEILAPLAN/issues]]></tracker>
        <repository><![CDATA[https://github.com/piMoll/SEILAPLAN]]></repository>
        <tags><![CDATA[analysis,forest,design,planning,forestry,optimization,planung,optimierung,wald]]></tags>
        <downloads>1981</downloads>
        <average_vote>3.7996200379962004</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Modeler Search Enhancement" version="1.2" plugin_id="4078">
        <description><![CDATA[Advanced search functionality for QGIS Processing Modeler algorithms and parameters]]></description>
        <about><![CDATA[The Modeler Search Enhancement plugin significantly improves the user experience when working with QGIS Processing Modeler by adding powerful search capabilities. This plugin addresses one of the most common workflow bottlenecks in complex geoprocessing model development: finding and selecting the right algorithms and parameters from an ever-growing collection of processing tools.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_Z8LEsHX.png</icon>
        <author_name><![CDATA[GIS Team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/modeler_search_enhancer/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[gisteam]]></uploaded_by>
        <create_date>2025-07-30T09:44:03.860224+00:00</create_date>
        <update_date>2025-07-30T10:39:51.740923+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AlunniEagle/modeler_search_enhancer/issues]]></tracker>
        <repository><![CDATA[https://github.com/AlunniEagle/modeler_search_enhancer]]></repository>
        <tags><![CDATA[python,search,modeler]]></tags>
        <downloads>429</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RGB Color Picker" version="0.5" plugin_id="4079">
        <description><![CDATA[Das Plugin liefert auf Klick ins Kartenfenster (Canvas) die Farbwerte des angeklickten Pixels in RGB und rechnet diese auch gleich in HEX, HSV- und CYMK-Werte um. Eine genaue Beschreibung und FAQs finden Sie unter &lt;a href=&quot;https://geoobserver.de/qgis-plugin-rgb_picker&quot;&gt;https://geoobserver.de/qgis-plugin-rgb_picker&lt;/a&gt;.]]></description>
        <about><![CDATA[Zeigt Farbinformationen (RGB, HEX, HSV, CMYK) von angeklickten Kartenpixeln.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoobserver.de/qgis-plugin-rgb_picker/]]></homepage>
        <file_name>RGB_Picker.0.5.zip</file_name>
        <icon>/media/packages/2026/logo_eBwpttD.png</icon>
        <author_name><![CDATA[Mike Elstermann (#geoObserver)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RGB_Picker/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[geoobserver]]></uploaded_by>
        <create_date>2025-07-30T14:05:03.758664+00:00</create_date>
        <update_date>2026-02-26T10:44:19.164544+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoObserver/rgb_picker/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geoObserver/rgb_picker/]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2037</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Displays live cursor coordinates in Degrees-Minutes-Seconds (DMS) format in a floating panel.]]></description>
        <about><![CDATA[This plugin adds a floating panel to QGIS that shows the live geographic coordinates of the cursor in DMS format. Useful for cartographers, GIS analysts, and anyone needing precise coordinate readouts. Developed for use in WGS 1984.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ericguindon98/DMS-Cursor-Tracker-QGIS]]></homepage>
        <file_name>dms_cursor_tracker.1.0.5.zip</file_name>
        <icon>/media/packages/2026/icon_8NpJqI6.png</icon>
        <author_name><![CDATA[Eric Guindon]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dms_cursor_tracker/version/1.0.5/download/</download_url>
        <uploaded_by><![CDATA[ericguindon98]]></uploaded_by>
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        <update_date>2026-02-18T18:04:28.717783+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ericguindon98/DMS-Cursor-Tracker-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/ericguindon98/DMS-Cursor-Tracker-QGIS]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1185</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Counting the total layers loaded and selected in the layers panel.]]></description>
        <about><![CDATA[This plugin allows to count the total number of layers loaded and the number of the selected ones (highlighted in blue) in the layers panel of QGIS; any groups present in the layers panel are obviously not considered in the count.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
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        <file_name>layer_counter.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_GpqhPLj.png</icon>
        <author_name><![CDATA[GIS Team Eagleprojects S.p.A. [Lorenzo Alunni, Marco Peppucci]]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer_counter/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[gisteam]]></uploaded_by>
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        <update_date>2026-01-20T09:28:47.288289+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/mpeppucci/LayerCounter]]></repository>
        <tags><![CDATA[python,layer,panel,count]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Creates flight restriction zones for drones in accordance with the Brazilian Air Force&#x27;s ICA 100-40 standard.]]></description>
        <about><![CDATA[Creates drone flight restriction zones around airfield runways and helipads according to the parameters established by the Brazilian Air Force&#x27;s ICA 100-40. The plugin is launched via a button in the QGIS interface, based on the selected feature and a projected coordinate system.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>frz.1.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_ZPyXMOJ.png</icon>
        <author_name><![CDATA[Edson Tadeu da Silva Pinto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/frz/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[etadeu]]></uploaded_by>
        <create_date>2025-07-30T14:57:55.731316+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/e-tadeu/frz/issues]]></tracker>
        <repository><![CDATA[https://github.com/e-tadeu/frz.git]]></repository>
        <tags><![CDATA[python,qgis,drones,espaco-aereo,ica100-40,restricao]]></tags>
        <downloads>704</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGISDresser" version="0.1.0" plugin_id="4083">
        <description><![CDATA[QGISDresser is a plugin to dress up QGIS GUI.]]></description>
        <about><![CDATA[This plugin enables to change the background image of QGIS GUI. You can select an image from preset, or local directory.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
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        <icon>/media/packages/2025/icon_LPWOnLK.png</icon>
        <author_name><![CDATA[Shinsuke Nakamori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGISDresser/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[phoca]]></uploaded_by>
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        <update_date>2025-07-30T23:31:51.664032+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nakamori1024/QGISDresserPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/nakamori1024/QGISDresserPlugin]]></repository>
        <tags><![CDATA[gui]]></tags>
        <downloads>419</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Access Tellae services from QGIS]]></description>
        <about><![CDATA[This plugin allows accessing Tellae services (for instance some of the tools available in https://kite.tellae.fr/) from QGIS. This mainly consists in access to mobility-related data in France and processing algorithms. You will need a Tellae user account to access the services.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>tellae.2.1.0.zip</file_name>
        <icon>/media/packages/2026/tellae_V71Tk7d.png</icon>
        <author_name><![CDATA[Tellae]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tellae/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[tellae]]></uploaded_by>
        <create_date>2025-07-31T13:25:01.302787+00:00</create_date>
        <update_date>2026-04-16T13:41:43.380427+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tellae/qgis-tellae-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/tellae/qgis-tellae-plugin]]></repository>
        <tags><![CDATA[python,network,opendata,transport,mobility,kite,tellae]]></tags>
        <downloads>595</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoParcelle" version="1.7" plugin_id="4086">
        <description><![CDATA[La localisation précise des parcelles, sans compromis]]></description>
        <about><![CDATA[Plugin QGIS puissant et intuitif qui permet de localiser des parcelles cadastrales au Maroc par coordonnées XY (Lambert Maroc Nord) ou identifiant parcellaire (Nature, Numéro, Indice), tout en intégrant un système avancé de smart repérage des parcelles voisines et des éventuels chevauchements. Conçu pour les professionnels du foncier, ce plugin vous aide à gagner en précision, en temps et en fiabilité.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CliveGIS/LocatePlleXY]]></homepage>
        <file_name>locatepllexy.1.7.zip</file_name>
        <icon>/media/packages/2025/icon_lR1xtj6.png</icon>
        <author_name><![CDATA[California29]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/locatepllexy/version/1.7/download/</download_url>
        <uploaded_by><![CDATA[clivegis]]></uploaded_by>
        <create_date>2025-08-01T18:00:10.501100+00:00</create_date>
        <update_date>2025-09-29T16:41:50.526114+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CliveGIS/LocatePlleXY]]></tracker>
        <repository><![CDATA[https://github.com/CliveGIS/LocatePlleXY]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1015</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer2Theme" version="1.0" plugin_id="4087">
        <description><![CDATA[A productivity theme management plugin that significantly ease the process of updating existing themes.]]></description>
        <about><![CDATA[This plugin adds allowes updating layers visibility in existing themes by right clicking on the layer of interest and asigning it to the target theme/s. Optionins like check\uncheck all are also available.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ohmh/QgisLayer2Theme]]></homepage>
        <file_name>QgisLayer2Theme.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Osama Heba]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QgisLayer2Theme/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[ohmh]]></uploaded_by>
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        <update_date>2025-08-02T00:15:51.835807+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ohmh/QgisLayer2Theme/issues]]></tracker>
        <repository><![CDATA[https://github.com/ohmh/QgisLayer2Theme]]></repository>
        <tags><![CDATA[productivity,layers,qgis,themes,automation,cartograpgy]]></tags>
        <downloads>664</downloads>
        <average_vote>4.665889018496917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[Plug-in này cho phép tổng hợp số liệu từ bản đồ điều tra rừng (*.shp) theo 12 mẫu biểu quy định tại Thông tư 16/2024 và Hướng dẫn kỹ thuật điều tra rừng.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://xuanmaijsc.vn]]></homepage>
        <file_name>tong_hop.3.1.zip</file_name>
        <icon>/media/packages/2025/icon_618va63.png</icon>
        <author_name><![CDATA[Nguyễn Văn Thị]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tong_hop/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[nguyenvanthi]]></uploaded_by>
        <create_date>2025-08-02T10:56:54.458764+00:00</create_date>
        <update_date>2025-12-03T00:27:17.762090+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nguyenvanthi2020/tong_hop_dieutrarung]]></tracker>
        <repository><![CDATA[https://github.com/nguyenvanthi2020/tong_hop_dieutrarung]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>712</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Busque dados da API SIDRA/IBGE e una-os a camadas vetoriais.]]></description>
        <about><![CDATA[Plugin para buscar dados estatísticos do SIDRA/IBGE, baixar malhas territoriais do GeoFTP e unir tudo a camadas vetoriais dentro do QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GaboV3/sidra_connector]]></homepage>
        <file_name>sidra_connector.2.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_eM7Jbt6.png</icon>
        <author_name><![CDATA[Gabriel Henrique Angelo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sidra_connector/version/2.1.1/download/</download_url>
        <uploaded_by><![CDATA[gabo]]></uploaded_by>
        <create_date>2025-08-02T14:28:16.158064+00:00</create_date>
        <update_date>2026-03-14T14:22:24.220218+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GaboV3/sidra_connector/issues]]></tracker>
        <repository><![CDATA[https://github.com/GaboV3/sidra_connector]]></repository>
        <tags><![CDATA[python,join,ibge,vetor,qt6,sidra,malha,dados,estatística,censo]]></tags>
        <downloads>1408</downloads>
        <average_vote>4.999444506165982</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="mLasMedia" version="1.0" plugin_id="4090">
        <description><![CDATA[Wtyczka pozwalająca wyświetlić pomiary wyeksportowane za pomocą aplikacji mLas.]]></description>
        <about><![CDATA[Wtyczka pozwala wyświetlić w QGIS pomiary wykonane i wyeksportowane za pomocą aplikacji mLas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TaxusIT-PL/mLasMedia]]></homepage>
        <file_name>mlasmedia.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_2ndtaq5.png</icon>
        <author_name><![CDATA[Katarzyna Kucharczyk Taxus IT sp. z o. o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mlasmedia/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[taxusit]]></uploaded_by>
        <create_date>2025-08-02T15:39:53.247584+00:00</create_date>
        <update_date>2025-08-02T15:39:55.055433+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TaxusIT-PL/mLasMedia/issues]]></tracker>
        <repository><![CDATA[https://github.com/TaxusIT-PL/mLasMedia]]></repository>
        <tags><![CDATA[python,lasy państwowe,multimedia,mlas,taxus]]></tags>
        <downloads>521</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Transformer" version="2.1.0" plugin_id="4091">
        <description><![CDATA[QGIS plugin for vector layer transformation. Processes QGIS project layers with calculated fields, coordinate transformations, and PostgreSQL integration.]]></description>
        <about><![CDATA[ETL plugin for QGIS vector layer transformation (v2.1.0).
Processes QGIS project layers with calculated fields, geometry expressions, and coordinate reprojection.
Features bidirectional JSON config sync, smart filtering with templates, dock-based UI with drag-drop repositioning.
Supports 15+ vector formats, PostgreSQL integration with auto-mapping, and multi-format export.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.45.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yadda07/transformer]]></homepage>
        <file_name>Transfomer.2.1.0.zip</file_name>
        <icon>/media/packages/2025/logo_KWe0A0S.png</icon>
        <author_name><![CDATA[Yadda]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Transfomer/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[yadda07]]></uploaded_by>
        <create_date>2025-08-03T08:51:54.341567+00:00</create_date>
        <update_date>2025-12-13T16:45:32.088253+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yadda07/transformer/issues]]></tracker>
        <repository><![CDATA[https://github.com/yadda07/transformer]]></repository>
        <tags><![CDATA[vector,shapefile,export,transformation,kml,geojson,postgresql,geopackage,calculated fields,data processing]]></tags>
        <downloads>2406</downloads>
        <average_vote>4.4555060499327785</average_vote>
        <rating_votes>90</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Anomalies to contours" version="0.2" plugin_id="4092">
        <description><![CDATA[This plugin converts statistical anomalies into contours based on custom parameters.]]></description>
        <about><![CDATA[This plugin identifies and converts statistical anomalies into contours based on custom parameters.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rnrhs/anomalies2contours]]></homepage>
        <file_name>anomalies2contours.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_Z5p7nSS.png</icon>
        <author_name><![CDATA[Marhes S. &amp; Hudak V.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/anomalies2contours/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[marhes]]></uploaded_by>
        <create_date>2025-08-03T13:01:50.923611+00:00</create_date>
        <update_date>2025-09-19T03:14:55.140025+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rnrhs/anomalies2contours/issues]]></tracker>
        <repository><![CDATA[https://github.com/rnrhs/anomalies2contours]]></repository>
        <tags><![CDATA[vector,python,raster,threshold]]></tags>
        <downloads>1305</downloads>
        <average_vote>2.9990003332222592</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VertexDistanceChecker" version="3.2" plugin_id="4093">
        <description><![CDATA[Flags line segments shorter than a defined threshold.]]></description>
        <about><![CDATA[VertexDistanceChecker is a QGIS plugin designed to detect unusually short segments between consecutive vertices in line geometries. These short segments often indicate oversampled geometry, digitization noise, or potential data quality issues.

Users can define a minimum allowed segment length, and the plugin will flag all cases where the distance between two vertices falls below that threshold. Results are displayed in an interactive dock with zoom-to-feature functionality, and can optionally be exported as a point shapefile marking the midpoint of flagged segments.

The plugin supports both full-layer checks and selected-feature-only analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Consortis-Geospatial]]></homepage>
        <file_name>VertexDistanceChecker.3.2.zip</file_name>
        <icon>/media/packages/2025/icon_g6bEUcT.png</icon>
        <author_name><![CDATA[Gkaravelis Andreas - Consortis Geospatial]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VertexDistanceChecker/version/3.2/download/</download_url>
        <uploaded_by><![CDATA[gkaravelis]]></uploaded_by>
        <create_date>2025-08-04T09:47:29.560823+00:00</create_date>
        <update_date>2025-08-04T09:47:32.173546+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Consortis-Geospatial/VertexDistanceChecker/issues]]></tracker>
        <repository><![CDATA[https://github.com/Consortis-Geospatial/VertexDistanceChecker]]></repository>
        <tags><![CDATA[analysis,network,roadnetwork]]></tags>
        <downloads>659</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MIDAS" version="0.1.0" plugin_id="4095">
        <description><![CDATA[Memory-Efficient I/O-Improved Drainage Analysis System]]></description>
        <about><![CDATA[This plugin offers memory-efficient, OpenMP-parallelized algorithms for computing hydrologic parameters.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/HuidaeCho/midas-qgis]]></homepage>
        <file_name>midas.0.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_mIrKGFZ.png</icon>
        <author_name><![CDATA[Huidae Cho]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/midas/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[hcho]]></uploaded_by>
        <create_date>2025-08-04T14:14:56.431297+00:00</create_date>
        <update_date>2025-08-04T14:14:58.111296+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HuidaeCho/midas-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/HuidaeCho/midas-qgis]]></repository>
        <tags><![CDATA[analysis,hydrology,drainage,flow accumulation,longest flow paths,openmp,parallel computing,c,watersheds]]></tags>
        <downloads>859</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dip-Strike Tools" version="0.2.2" plugin_id="4096">
        <description><![CDATA[Tools for digitizing, managing, and analyzing plane orientation data (dip and strike) of planar geologic features.]]></description>
        <about><![CDATA[Dip-Strike Tools is a QGIS plugin that aims to provide a set of tools for digitizing, managing, and analyzing plane orientation or attitude data (dip and strike) of planar geologic features. It currently provides basic tools to streamline the workflow for geologists working with structural geology datasets, enabling efficient dip and strike data capture and management within QGIS.]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fpennica/dip-strike-tools]]></homepage>
        <file_name>dip_strike_tools.0.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_eHsQ4Yy.png</icon>
        <author_name><![CDATA[Francesco Pennica, Giuseppe Cosentino]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dip_strike_tools/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2025-08-04T16:14:39.146093+00:00</create_date>
        <update_date>2026-03-12T11:50:02.361488+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fpennica/dip-strike-tools/issues/]]></tracker>
        <repository><![CDATA[https://github.com/fpennica/dip-strike-tools]]></repository>
        <tags><![CDATA[geology,structural geology,azimuth,geoscience,dip,strike,geological mapping,plane orientation,geologic features,geology tools,attitude]]></tags>
        <downloads>3098</downloads>
        <average_vote>4.99980000799968</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MIF/TAB to SHP/GeoJSON Converter" version="3.6.0" plugin_id="4097">
        <description><![CDATA[Professional converter for MapInfo files with custom coordinate systems, batch processing and multilingual support]]></description>
        <about><![CDATA[Professional MapInfo Converter for converting MIF/TAB files to Shapefile and GeoJSON formats. Specialized for files with custom coordinate systems not available in standard libraries. Features batch processing, multithreading performance, and multilingual interface with 9 languages support. Ideal for cadastral data conversion and surveying projects.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AlexKobyakov/mif_to_shp_converter]]></homepage>
        <file_name>mif_to_shp_converter.3.6.0.zip</file_name>
        <icon>/media/packages/2025/icon_w2wZwA6.png</icon>
        <author_name><![CDATA[Alex Kobyakov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mif_to_shp_converter/version/3.6.0/download/</download_url>
        <uploaded_by><![CDATA[aleko]]></uploaded_by>
        <create_date>2025-08-05T03:49:28.913374+00:00</create_date>
        <update_date>2025-08-05T03:49:31.780587+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AlexKobyakov/mif_to_shp_converter/issues]]></tracker>
        <repository><![CDATA[https://github.com/AlexKobyakov/mif_to_shp_converter]]></repository>
        <tags><![CDATA[shapefile,converter,cadastral,tab,geojson,batch,surveying,mapinfo,custom-crs,municipal-gis,multilingual,local-projections,mif,multithreading,coordinate-systems]]></tags>
        <downloads>1589</downloads>
        <average_vote>4.49925012497917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MxExport" version="2.4" plugin_id="4102">
        <description><![CDATA[MxExport is a QGIS plugin designed for GIS professionals, offering coordinate positioning, NDS/XYZ tile information display, WKT/GeoJSON data import, and layer management features to streamline geographic information processing workflows and enhance productivity.&lt;br/&gt;MxExport是专为GIS从业者开发的QGIS插件，提供坐标定位标记、NDS/XYZ瓦片信息显示、WKT/GeoJSON数据导入、图层管理等核心功能，简化地理信息处理流程，提升工作效率。]]></description>
        <about><![CDATA[MxExport is an efficient QGIS plugin specifically designed for GIS professionals to streamline daily geographic information processing workflows. This comprehensive plugin integrates multiple practical functions, including precise coordinate positioning and marking systems with one-click coordinate copying capabilities. The plugin displays real-time map center coordinates and provides detailed tile information viewing for both NDS and XYZ coordinate systems, including comprehensive x, y, z parameter displays. Users can intuitively visualize tile boundaries of NDS/XYZ coordinate systems, facilitating accurate spatial analysis operations. MxExport supports rapid import of WKT and GeoJSON data formats, automatically creating layers in the QGIS window and displaying corresponding geometric information. The plugin features built-in WKT editing templates, providing users with convenient tools for quick marking and layer addition. Additionally, it includes layer creation window tracking functionality to help users efficiently manage and locate target layers. With its intuitive user interface and powerful feature integration, MxExport serves as an ideal solution for GIS professionals seeking to enhance their productivity and workflow efficiency.&lt;br/&gt; MxExport是一款专为GIS行业从业者设计的高效QGIS插件，旨在简化日常地理信息处理工作流程。该插件集成了多种实用功能，包括精确的坐标定位与标记系统，支持一键复制坐标信息。插件能够实时显示地图中心坐标，并提供NDS和XYZ坐标系统的瓦片信息查看功能，包括详细的x、y、z参数显示。用户可以直观地查看NDS/XYZ坐标系统的瓦片边界，便于进行精确的空间分析。MxExport支持WKT和GeoJSON数据格式的快速导入，能够在QGIS窗口中自动创建图层并显示相应的几何图形信息。插件内置WKT编辑模板功能，为用户提供快速标记和图层添加的便捷工具。此外，还配备了图层创建窗口追踪功能，帮助用户高效管理和定位目标图层。MxExport以其直观的用户界面和强大的功能集成，成为GIS专业人员提升工作效率的理想选择。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dakanggo/MxExport]]></homepage>
        <file_name>MxExport.2.4.zip</file_name>
        <icon>/media/packages/2026/dakang_icon.png</icon>
        <author_name><![CDATA[DaKang]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MxExport/version/2.4/download/</download_url>
        <uploaded_by><![CDATA[dakanggo]]></uploaded_by>
        <create_date>2025-08-05T08:59:25.305721+00:00</create_date>
        <update_date>2026-02-10T05:04:55.037079+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dakanggo/MxExport/issues]]></tracker>
        <repository><![CDATA[https://github.com/dakanggo/MxExport]]></repository>
        <tags><![CDATA[wkt,map,layer,export,tiles,import,coordinate,geojson,plugin]]></tags>
        <downloads>1223</downloads>
        <average_vote>4.928219412899079</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AttributeTransferTool" version="1.0.0" plugin_id="4103">
        <description><![CDATA[Transfer attributes between features using spatial relationships like intersects, contains, touches, or vertex match.]]></description>
        <about><![CDATA[A versatile QGIS plugin that allows users to transfer attribute values from one layer to another based on configurable spatial relationships. Supports any geometry type and a variety of matching options including intersects, contains, within, touches, equals, and exact vertex match.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mikha651/AttributeTransferTool]]></homepage>
        <file_name>AttributeTransferTool.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_CIMVOFM.png</icon>
        <author_name><![CDATA[mikha651]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AttributeTransferTool/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mikha651]]></uploaded_by>
        <create_date>2025-08-05T10:49:34.821495+00:00</create_date>
        <update_date>2025-08-05T10:49:37.479516+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mikha651/AttributeTransferTool/issues]]></tracker>
        <repository><![CDATA[https://github.com/mikha651/AttributeTransferTool]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1442</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ParallelBuffers" version="1.0" plugin_id="4104">
        <description><![CDATA[Generates two parallel buffers from selected line features.
The plugin offsets the line to both sides by a user-defined distance
and creates lateral one-sided buffers, useful for defining impact zones
along roads, pipelines, or livestock trails.]]></description>
        <about><![CDATA[This plugin creates lateral buffers parallel to a selected line,
allowing users to define impact zones effectively.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jamorenori/ParallelBuffers]]></homepage>
        <file_name>parallelbuffers.1.0.zip</file_name>
        <icon>/media/packages/2025/PB_Logo.png</icon>
        <author_name><![CDATA[Javier Moreno]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/parallelbuffers/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[jmorenori]]></uploaded_by>
        <create_date>2025-08-05T11:43:50.429156+00:00</create_date>
        <update_date>2025-08-05T11:43:52.647457+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jamorenori/ParallelBuffers/issues]]></tracker>
        <repository><![CDATA[https://github.com/jamorenori/ParallelBuffers]]></repository>
        <tags><![CDATA[lines,buffer,parallel,impact zones]]></tags>
        <downloads>1063</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Script Manager" version="1.1.0" plugin_id="4105">
        <description><![CDATA[A PyQGIS script manager for safe execution, debugging, and automation. Features a visual browser with an integrated output console, automatic file monitoring, script validation, and full Qt5/Qt6 support.]]></description>
        <about><![CDATA[Script Manager provides a environment for managing, executing, and debugging PyQGIS scripts. Its core features include: a visual script browser with an integrated console to capture print() statements and errors in real-time; a safe execution environment that prevents script failures from crashing QGIS; pre-execution validation to warn against risky code; automatic file monitoring for instant reloading; and a quick access menu for routine tasks. With full Qt5/Qt6 compatibility and multi-language support (EN, PT-BR), it streamlines the development workflow for GIS professionals and developers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TiagoJoseMS/script-manager]]></homepage>
        <file_name>script_manager.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_MBpy8d9.png</icon>
        <author_name><![CDATA[Tiago José M. Silva]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/script_manager/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[moraessilva]]></uploaded_by>
        <create_date>2025-08-07T05:51:42.494330+00:00</create_date>
        <update_date>2026-04-02T06:12:30.499318+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TiagoJoseMS/script-manager/issues]]></tracker>
        <repository><![CDATA[https://github.com/TiagoJoseMS/script-manager]]></repository>
        <tags><![CDATA[python,browser,console,scripts,productivity,tools,validation,management,pyqgis,debug,automation,monitoring,professional,security,multilingual,error handling,safe]]></tags>
        <downloads>1728</downloads>
        <average_vote>4.344191078834774</average_vote>
        <rating_votes>61</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FuzzyAttributes" version="2.0.0" plugin_id="4107">
        <description><![CDATA[FR: FuzzyAttributes V2 étend le plugin original en intégrant trois nouveaux modules pour les données raster et catégorielles. Il permet de convertir des attributs numériques, textuels ou des rasters en valeurs floues (degrés d’appartenance entre 0 et 1) selon plusieurs fonctions d’appartenance : linéaire croissante/décroissante, triangulaire, trapézoïdale, sigmoïde (S et Z) et gaussienne. Les nouveaux modules comprennent : Fuzzy Aggregation (agrégation floue d’attributs flous), FuzzyRaster (transformation floue directe de rasters), Raster Aggregation (agrégation floue de rasters) et Classes → Fuzzy (reclassement de rasters catégoriels en valeurs floues). L’interface graphique facilite la configuration, affiche des exemples visuels et propose une aide intégrée multilingue (FR, EN, ES, PT). EN: FuzzyAttributes V2 extends the original plugin with three new modules for raster and categorical data. It converts numeric, textual, or raster attributes into fuzzy membership values (degrees between 0 and 1) using several membership functions: increasing/decreasing linear, triangular, trapezoidal, sigmoid (S and Z), and Gaussian. The new modules include: Fuzzy Aggregation (fuzzy aggregation of attributes), FuzzyRaster (fuzzy transformation of rasters), Raster Aggregation (fuzzy combination of rasters), and Classes → Fuzzy (reclassification of categorical rasters into fuzzy values). The interface provides easy configuration, visual examples, and multilingual help (FR, EN, ES, PT).]]></description>
        <about><![CDATA[FR: FuzzyAttributes est un plugin QGIS permettant de convertir des attributs numériques, textuels ou des rasters en valeurs floues selon plusieurs fonctions d’appartenance (linéaire, trapézoïdale, triangulaire, sigmoïde, gaussienne). Il inclut quatre modules : Fuzzy Aggregation, FuzzyRaster, Raster Aggregation et Classes → Fuzzy. L’interface graphique offre des exemples visuels, une aide intégrée et la gestion multilingue. EN: FuzzyAttributes is a QGIS plugin for converting numeric, textual, or raster data into fuzzy values using common membership functions. It includes four modules: Fuzzy Aggregation, FuzzyRaster, Raster Aggregation, and Classes → Fuzzy. The interface provides visual previews, built-in help, and multilingual support.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SigEtTerritoires/FuzzyAttributes]]></homepage>
        <file_name>FuzzyAttributes.2.0.0.zip</file_name>
        <icon>/media/packages/2026/fuzzyattributes_icon.png</icon>
        <author_name><![CDATA[Atilio FRANCOIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FuzzyAttributes/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[atiliofrancois]]></uploaded_by>
        <create_date>2025-08-10T12:50:49.864972+00:00</create_date>
        <update_date>2025-10-05T12:19:49.704412+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SigEtTerritoires/FuzzyAttributes/issues]]></tracker>
        <repository><![CDATA[https://github.com/SigEtTerritoires/FuzzyAttributes]]></repository>
        <tags><![CDATA[raster,functions,attributes,qgis,geopackage,fuzzy,flou,aggregation,décision,membership]]></tags>
        <downloads>1334</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Read-Only Switcher" version="0.1" plugin_id="4108">
        <description><![CDATA[Read-Only Switcher lets you toggle the read-only flag for one or more selected layers directly from the Layers panel, saving you the step of opening Project Properties.]]></description>
        <about><![CDATA[Read-Only Switcher enables you to quickly toggle the read-only flag for one or more selected vector layers directly from the Layers panel, eliminating the need to open the Project Properties dialog. When multiple layers with mixed read-only statuses are selected, the plugin sets all layers to read-only by default to ensure data safety. Raster layers and other non-vector layers are automatically excluded from the toggling process, with clear notifications to the user. This tool streamlines layer management, protects your data from accidental edits, and is especially useful in collaborative environments where different users may need different editing permissions on the same project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/leiding06/read_only_switcher]]></homepage>
        <file_name>read_only_switcher.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_1NX9wm6.png</icon>
        <author_name><![CDATA[Lei Ding]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/read_only_switcher/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[leiding06]]></uploaded_by>
        <create_date>2025-08-10T13:04:41.606315+00:00</create_date>
        <update_date>2025-08-10T13:04:44.404390+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/leiding06/read_only_switcher/issues]]></tracker>
        <repository><![CDATA[https://github.com/leiding06/read_only_switcher]]></repository>
        <tags><![CDATA[python,layer tree,utility,read-only,project property]]></tags>
        <downloads>364</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Guide Panel" version="1.0" plugin_id="4109">
        <description><![CDATA[Quick access to common QGIS actions like navigation, zooming, attribute editing.]]></description>
        <about><![CDATA[This plugin provides intuitive buttons for frequently used QGIS functions—such as map navigation, zoom control, attribute viewing, and label toggling. It is designed to support beginners with a simple interface, while also improving efficiency for experienced users. このプラグインは、地図の移動や拡大縮小、属性確認、レイヤのラベル表示切り替え、表示フィルタの適用など、QGISで頻繁に行う操作をボタン1つで実行できるようにまとめたものです。初心者が迷わず操作できるよう設計されていますが、熟練者にとっても操作の手間を省き、効率向上に役立ちます。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/techteam-gis/q_guide_panel]]></homepage>
        <file_name>q_guide_panel.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_Uux3M2J.png</icon>
        <author_name><![CDATA[Takeshi Tanaka]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/q_guide_panel/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[takeshit]]></uploaded_by>
        <create_date>2025-08-11T05:32:25.938927+00:00</create_date>
        <update_date>2025-08-11T05:32:27.734980+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/techteam-gis/q_guide_panel/issues]]></tracker>
        <repository><![CDATA[https://github.com/techteam-gis/q_guide_panel]]></repository>
        <tags><![CDATA[zoom,productivity,navigation,toolbar,labels,utility,beginner]]></tags>
        <downloads>906</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Line Node Processor" version="1.0.1" plugin_id="4110">
        <description><![CDATA[Sample points along lines at fixed distance and/or original vertices with KP/azimuth/2D/3D and elevation sampling. GUI in Plugins menu.]]></description>
        <about><![CDATA[Fixed the bug in ver1.0.0]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/skyflying/Create-Node-KP-QGIS-Plugin]]></homepage>
        <file_name>line_node_processor.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_rbVt9A5.ico</icon>
        <author_name><![CDATA[Mingyi Hsu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/line_node_processor/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[mingyihsu]]></uploaded_by>
        <create_date>2025-08-11T07:55:21.248414+00:00</create_date>
        <update_date>2025-08-19T08:20:09.944992+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/skyflying/Create-Node-KP-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/skyflying/Create-Node-KP-QGIS-Plugin]]></repository>
        <tags><![CDATA[line,elevation,vertices,kp,sampling,node]]></tags>
        <downloads>792</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AGLgis" version="1.0" plugin_id="4111">
        <description><![CDATA[AGLgis is a graphical interface designed to simplify the use of the Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine package in QGIS.]]></description>
        <about><![CDATA[This plugin allows users to configure and run Sentinel-1 SAR data processing without the need to write code.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://caioarantes.github.io/AGLgis/]]></homepage>
        <file_name>AGLgis.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_vNe3o2H.png</icon>
        <author_name><![CDATA[Caio Arantes, Mateus Pinto da Silva]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AGLgis/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[caioarantes]]></uploaded_by>
        <create_date>2025-08-11T20:03:48.701259+00:00</create_date>
        <update_date>2025-08-18T21:38:51.751812+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caioarantes/aglgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/caioarantes/aglgis]]></repository>
        <tags><![CDATA[python,raster,remote sensing,sentinel,sar,radar,google earth engine]]></tags>
        <downloads>3676</downloads>
        <average_vote>3.7056643726839593</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geocodificacao" version="1.1" plugin_id="4112">
        <description><![CDATA[This plugin automates the geocoding of addresses displayed in CSV and creates a point vector from it]]></description>
        <about><![CDATA[This plugin automates the geocoding of addresses displayed in CSV and creates a point layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/e-tadeu/geocod.git]]></homepage>
        <file_name>geocod.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_BPTkYY5.png</icon>
        <author_name><![CDATA[Edson Tadeu da Silva Pinto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocod/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[etadeu]]></uploaded_by>
        <create_date>2025-08-11T22:01:38.939499+00:00</create_date>
        <update_date>2025-10-11T13:47:06.449534+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/e-tadeu/geocod/issues]]></tracker>
        <repository><![CDATA[https://github.com/e-tadeu/geocod.git]]></repository>
        <tags><![CDATA[python,address,csv,qgis,geocoder]]></tags>
        <downloads>1268</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AddressFormatter" version="1.1" plugin_id="4117">
        <description><![CDATA[A QGIS plugin for formatting and standardizing address fields in attribute tables.]]></description>
        <about><![CDATA[This plugin is designed to standardize and format address fields in QGIS attribute tables, ensuring consistent capitalization, spacing, and structure for cleaner data management.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rajeshraina/qgis-address-formatter]]></homepage>
        <file_name>AddressFormatter.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_2VNzOT5.png</icon>
        <author_name><![CDATA[Rajesh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AddressFormatter/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[rajeshmanasa]]></uploaded_by>
        <create_date>2025-08-12T09:11:17.998956+00:00</create_date>
        <update_date>2025-08-27T03:30:47.360291+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rajeshraina/qgis-address-formatter/issues]]></tracker>
        <repository><![CDATA[https://github.com/rajeshraina/qgis-address-formatter]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2313</downloads>
        <average_vote>4.729068144413659</average_vote>
        <rating_votes>48</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RockyCrop" version="1.2" plugin_id="4118">
        <description><![CDATA[Automated grid creation, layout generation, and terrain export for Blender integration]]></description>
        <about><![CDATA[RockyCrop automates terrain and visual map exports from QGIS for use in Blender and other 3D tools. Includes a Blender import script and full documentation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://venicdragon.gumroad.com/l/RockyCrop]]></homepage>
        <file_name>RockyCrop.1.2.zip</file_name>
        <icon>/media/packages/2025/LogoMain_GGcOxXf.png</icon>
        <author_name><![CDATA[BlondBeard Games (Red Division)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RockyCrop/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[venicdragon]]></uploaded_by>
        <create_date>2025-08-12T12:33:04.140508+00:00</create_date>
        <update_date>2025-10-29T10:42:43.396042+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/venicdragon-dev/RockyCrop-GIS-Auto-Exporter/issues]]></tracker>
        <repository><![CDATA[https://github.com/venicdragon-dev/RockyCrop-GIS-Auto-Exporter]]></repository>
        <tags><![CDATA[Elevation Data Exporting,Blender Integration,Ease of use,SRTM Downloader,GIS Automatic Exporting,QuickMapServices,Grid Creation]]></tags>
        <downloads>7666</downloads>
        <average_vote>4.999545495864012</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Gusnet - Water Network Modeller" version="3.1.0" plugin_id="4120">
        <description><![CDATA[Design, edit, simulate, and visualise water distribution networks using the power of EPANET, directly in QGIS]]></description>
        <about><![CDATA[Gusnet enables you to build water network models, run hydraulic simulations, and analyse results all without leaving QGIS.

Key Features:

User-friendly: Intuitive for QGIS users, with clear functionality, good defaults, and thorough documentation.

Seamless integration: Leverages QGIS and WNTR capabilities, complementing existing QGIS tools, algorithms, and plugins.

Robust: Focused on reliable, well-tested features.

Flexible: Adaptable to different workflows and preferences.

Automatable: Tools can be used in QGIS Model Builder or scripted with PyQGIS.

If WNTR is not already installed, the plugin will automatically download it from PyPI and install it in the plugin directory. For full installation and usage instructions, see the homepage link.]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.gusnet.org/]]></homepage>
        <file_name>gusnet.3.1.0.zip</file_name>
        <icon>/media/packages/2026/logo_2QmO2rx.svg</icon>
        <author_name><![CDATA[Angus McBride]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gusnet/version/3.1.0/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2025-08-12T19:59:42.226553+00:00</create_date>
        <update_date>2026-04-03T21:16:14.643828+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/angusmcb/gusnet/issues]]></tracker>
        <repository><![CDATA[https://github.com/angusmcb/gusnet]]></repository>
        <tags><![CDATA[water,epanet,hydraulics,water network analysis,wntr]]></tags>
        <downloads>2093</downloads>
        <average_vote>4.12482813216116</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BGT Downloader" version="1.0" plugin_id="4121">
        <description><![CDATA[Download BGT (Dutch Large Schale Base Map) features via the PDOK OGC-API Features service.]]></description>
        <about><![CDATA[This plugin downloads BGT (Basisregistratie Grootschalige Topografie) features from the Dutch PDOK service via OGC-API Features. It allows specifying which features to download, the extent, and where to save the output.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wvdbee/bgt_downloader]]></homepage>
        <file_name>bgt_downloader.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_ex0b0sd.png</icon>
        <author_name><![CDATA[wvdbee, with help from Claude and CoPilot.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bgt_downloader/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[wvdbee]]></uploaded_by>
        <create_date>2025-08-13T06:17:05.035773+00:00</create_date>
        <update_date>2025-10-14T14:57:04.208556+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wvdbee/bgt_downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/wvdbee/bgt_downloader]]></repository>
        <tags><![CDATA[pdok,download,bgt,ogc api,netherlands,base map,dutch,large scale]]></tags>
        <downloads>3050</downloads>
        <average_vote>4.999444506165982</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KGR Toolbox" version="0.1" plugin_id="4123">
        <description><![CDATA[Manage PostgreSQL database templates; create templates from existing databases without data; create new databases from templates; export projects with PostgreSQL layers as portable geopackage archives; clean QGS files from username and password in case those have been saved within]]></description>
        <about><![CDATA[A QGIS plugin for managing PostgreSQL databases, templates and creating portable project archives.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/csgis/kgr_toolbox]]></homepage>
        <file_name>kgr_toolbox.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_ynsd5jV.png</icon>
        <author_name><![CDATA[Toni Schönbuchner, CSGIS GbR. | Dr. Bernhard Fritsch, German Archaeological Institute]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kgr_toolbox/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[2109]]></uploaded_by>
        <create_date>2025-08-14T18:37:57.170635+00:00</create_date>
        <update_date>2025-08-14T18:38:00.063170+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/csgis/kgr_toolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/csgis/kgr_toolbox]]></repository>
        <tags><![CDATA[database,template,postgresql,archive,geopackage,management,portable]]></tags>
        <downloads>506</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="XYZ/MGRS Coordinate Tool" version="1.0.0" plugin_id="4124">
        <description><![CDATA[Advanced multi-format coordinate tool supporting XYZ tiles, MGRS, WKT, WKB, and GeoJSON with interactive navigation and visualization.  Part of MAS Raster Processing tools.]]></description>
        <about><![CDATA[Professional multi-format coordinate capture and visualization tool for QGIS. Supports 5 coordinate systems with full navigation and plotting capabilities.
.
SUPPORTED FORMATS:
- XYZ Tiles: Web mapping tile coordinates with zoom levels (Red visualization)
- MGRS: Military Grid Reference System, Sentinel-2 compatible (Blue visualization)
- WKT: Well-Known Text geometry format (Green visualization)
- WKB: Well-Known Binary geometry as hex string (Yellow visualization)
- GeoJSON: JSON-based geometry format (Purple visualization)
.
KEY FEATURES:
- Interactive map clicking with crosshair cursor for coordinate capture
- Dual-mode operation: Click-to-capture OR manual input for all formats
- Go To button: Navigate/zoom to any coordinate system location
- Plot Polygon/Geometry button: Visualize geometries with color-coded layers
- Editable coordinate inputs (X, Y, Z for tiles; text input for others)
- Smart geometry type detection (Point, LineString, Polygon, Multi types)
- Dockable widget interface with system dropdown selector
- Seamless integration with MAS Raster Processing toolbar
- Coordinate reprojection support for different CRS
- Memory layer creation with proper attribute tables and symbology
.
QUICK START GUIDE:
1. Activate tool: Click XYZ Coordinate Tool icon or Raster menu - MAS Raster Processing - XYZ Coordinate Tool
2. Select coordinate system from dropdown (XYZ Tiles, MGRS, WKT, WKB, or GeoJSON/JSON)
3. FOR XYZ/MGRS: Click on map to capture coordinates. FOR WKT/WKB/GEOJSON: Paste or type geometry string in the input field
4. Click Go To to navigate to the location
5. Click Plot Polygon to visualize the geometry on map
6. Edit coordinates manually if needed (all inputs are editable)
.
USE CASES:
- Tile-based web mapping applications (XYZ tiles)
- Sentinel-2 satellite imagery tile identification (MGRS)
- Geometry data exchange and validation (WKT, WKB, GeoJSON)
- Coordinate reference system testing and debugging
- Geospatial data quality assurance workflows
- Educational tool for understanding different coordinate formats
.
TECHNICAL NOTES:
- XYZ tiles: Z value (zoom level) range 0-22, default 14
- MGRS: Fixed latitude band calculation with 2,000,000m cycle handling
- WKT/WKB/GeoJSON: Automatic geometry type detection and appropriate symbology
- All geometries are created in EPSG:4326 (WGS84) coordinate system
- Color-coded layers for easy identification of coordinate system source
.
Please rate this plugin based on your experience - your feedback motivates continued development!
For support, feature requests, or custom QGIS tools: mastools.help@gmail.com
MAS = Mirjan Ali Sha (plugin author)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/xyz-coordinate-tool]]></homepage>
        <file_name>xyz_coordinate_tool.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_jqJkXdg.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xyz_coordinate_tool/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2025-08-14T22:50:19.764795+00:00</create_date>
        <update_date>2025-11-28T18:46:42.430575+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/xyz-coordinate-tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/xyz-coordinate-tool]]></repository>
        <tags><![CDATA[wkt,raster,tiles,geospatial,geometry,wkb,coordinates,conversion,geojson,sentinel,mapping,visualization,mgrs,navigation,xyz]]></tags>
        <downloads>6185</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Screenshot Tool" version="0.2" plugin_id="4126">
        <description><![CDATA[Automated screenshot capture for geospatial features]]></description>
        <about><![CDATA[ScreenshotTool is a QGIS plugin that allows users to automatically generate map screenshots of geospatial features. Users can select a vector layer, specify buffer distances, apply attribute filters, and choose a basemap. The plugin captures high-resolution screenshots around selected features—ideal for building computer vision datasets, reports, or map visualizations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/KofiAdu/ScreenshotTool]]></homepage>
        <file_name>ScreenshotTool.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_0bGyZuT.png</icon>
        <author_name><![CDATA[Kofi Agyekum]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ScreenshotTool/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mapdev75]]></uploaded_by>
        <create_date>2025-08-15T17:40:16.659528+00:00</create_date>
        <update_date>2025-08-26T17:25:25.354712+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KofiAdu/ScreenshotTool/issues]]></tracker>
        <repository><![CDATA[https://github.com/KofiAdu/ScreenshotTool]]></repository>
        <tags><![CDATA[python,remote sensing,gis,screenshot]]></tags>
        <downloads>1223</downloads>
        <average_vote>3.7773580713254087</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Interactive Map" version="0.3" plugin_id="4127">
        <description><![CDATA[Bringing interactive maps to QGIS]]></description>
        <about><![CDATA[This is a plugin that aims to bring the interactivity of webgis to maps in QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/KofiAdu/InteractiveMapForQGIS]]></homepage>
        <file_name>interactive_map.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_cwewQoo.png</icon>
        <author_name><![CDATA[Kofi Agyekum]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/interactive_map/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[mapdev75]]></uploaded_by>
        <create_date>2025-08-15T19:17:13.515938+00:00</create_date>
        <update_date>2025-08-25T15:22:20.501177+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KofiAdu/InteractiveMapForQGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/KofiAdu/InteractiveMapForQGIS]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1606</downloads>
        <average_vote>3.9087355694936825</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoProfile" version="1.0" plugin_id="4131">
        <description><![CDATA[Tool for generating geological profiles from 2D information and a DEM raster.]]></description>
        <about><![CDATA[This plugin allows you to generate geological profiles from 2D lithology, bedding, and structural geology data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/silver9704/GeoProfile/blob/main/README.md]]></homepage>
        <file_name>geoprofile_v1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_MQqc9nY.png</icon>
        <author_name><![CDATA[Silver Piedra]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoprofile_v1/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[silverp4]]></uploaded_by>
        <create_date>2025-08-18T03:00:30.541522+00:00</create_date>
        <update_date>2025-08-18T03:00:32.386385+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/silver9704/GeoProfile/issues]]></tracker>
        <repository><![CDATA[https://github.com/silver9704/GeoProfile]]></repository>
        <tags><![CDATA[profile,geology,dem,cross-section,lithology]]></tags>
        <downloads>3791</downloads>
        <average_vote>4.999500049995</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CAD To GIS Convert" version="1.4.0" plugin_id="4132">
        <description><![CDATA[CAD to GIS Converter plugin. Converts DXF/DWG into GIS layers grouped by CAD layers. Supports block-preserving merge (per-instance), reprojection, PRJ generation, export to GPKG or Shapefile, auto-load into QGIS, and optional annotation extraction.]]></description>
        <about><![CDATA[This plugin wraps your CAD-to-GIS conversion engine into a QGIS Plugin. It supports DXF/DWG input (via ODA File Converter or LibreDWG), block-preserving merge, reprojection, and export to GPKG or Shapefile with auto-load.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/skyflying]]></homepage>
        <file_name>cad_to_gis_convert.1.4.0.zip</file_name>
        <icon>/media/packages/2025/icon_CZONBgj.ico</icon>
        <author_name><![CDATA[Mingyi Hsu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cad_to_gis_convert/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[mingyihsu]]></uploaded_by>
        <create_date>2025-08-18T07:42:50.073131+00:00</create_date>
        <update_date>2025-10-13T03:16:19.188460+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/skyflying/CAD_to_GIS_QGIS_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/skyflying/CAD_to_GIS_QGIS_Plugin]]></repository>
        <tags><![CDATA[shp,dxf,gpkg,dwg,block]]></tags>
        <downloads>28790</downloads>
        <average_vote>4.1999236377520415</average_vote>
        <rating_votes>55</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dual Profile Viewer" version="2.1.0" plugin_id="4133">
        <description><![CDATA[Advanced elevation profile analysis with single/dual modes, multi-section polygons, 3D visualization, and AI reports]]></description>
        <about><![CDATA[Comprehensive elevation profile analysis tool featuring single and dual profile modes, polygon multi-section support, advanced 3D visualization with PyVista and Plotly, multi-DEM comparison, professional layout generation, AI-powered report generation with GPT-4/Claude integration, and extensive export options. Perfect for archaeological analysis, geological studies, engineering projects, and environmental research.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enzococca/dual_profile_viewer]]></homepage>
        <file_name>dual_profile_viewer.2.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_cDHOXa4.png</icon>
        <author_name><![CDATA[Enzo Cocca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dual_profile_viewer/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[enzo]]></uploaded_by>
        <create_date>2025-08-18T09:38:31.326436+00:00</create_date>
        <update_date>2026-02-02T09:56:26.887770+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enzococca/dual_profile_viewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/enzococca/dual_profile_viewer]]></repository>
        <tags><![CDATA[profile,analysis,polygon,dem,elevation,dtm,report,archaeology,3d,visualization,ai,multi-section]]></tags>
        <downloads>2819</downloads>
        <average_vote>3.1426326690950646</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DIGIPIN ENCODER" version="1.0" plugin_id="4134">
        <description><![CDATA[A QGIS plugin for encoding and decoding DIGIPINs using India Post&#x27;s API, enabling users to generate DIGIPINs from map coordinates, process vector layers, decode DIGIPINs to coordinates, and validate locations.]]></description>
        <about><![CDATA[This plugin integrates India Post&#x27;s DIGIPIN system into QGIS, allowing users to generate 10-character DIGIPIN codes from point or polygon layers, decode DIGIPINs to retrieve latitude/longitude, and validate them by zooming to locations on the map.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geospatialkeeda.site/digipin]]></homepage>
        <file_name>digipin_encoder.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_ajEfKJT.png</icon>
        <author_name><![CDATA[B Mehaboob]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/digipin_encoder/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[bmehaboob]]></uploaded_by>
        <create_date>2025-08-18T15:35:50.777760+00:00</create_date>
        <update_date>2025-08-18T15:35:52.663723+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bmehaboob/digipin-encoder/issues]]></tracker>
        <repository><![CDATA[https://github.com/bmehaboob/digipin-encoder]]></repository>
        <tags><![CDATA[vector,geocoding,address,coordinates,location,mapping,api,digipin,indiapost,india]]></tags>
        <downloads>459</downloads>
        <average_vote>4.599816007359705</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ExportarPontos" version="1.0" plugin_id="4136">
        <description><![CDATA[Exporta coordendas de pontos para TXT separado por tabulação]]></description>
        <about><![CDATA[Plugin para exportar coordenadas e atributos de pontos para arquivo .txt]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/brunomelocampos/PluginQGIS1_ExportarPontos]]></homepage>
        <file_name>exportar_pontos.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_8IF6uiD.png</icon>
        <author_name><![CDATA[Bruno Melo Campos &amp; Ilton Marcos Soares Freitas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/exportar_pontos/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[brunomelocampos]]></uploaded_by>
        <create_date>2025-08-19T11:25:36.608771+00:00</create_date>
        <update_date>2025-08-19T11:25:39.022905+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/brunomelocampos/PluginQGIS1_ExportarPontos/issues]]></tracker>
        <repository><![CDATA[https://github.com/brunomelocampos/PluginQGIS1_ExportarPontos]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>565</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Survey2Gis Data Processor" version="0.2.3" plugin_id="4138">
        <description><![CDATA[Survey2Gis QGIS Frontend for QGIS]]></description>
        <about><![CDATA[S2G Data Processor is a comprehensive QGIS extension that streamlines data preparation for Survey2GIS processing. It automates the workflow by validating and preparing input data, generating optimized Survey2GIS commands, executing transformations, and seamlessly importing the results into QGIS via GeoPackage format. Ideal for archaeologists and surveyors working with field data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://s2qgis-docs.survey-tools.org]]></homepage>
        <file_name>s2g_data_processor.0.2.3.zip</file_name>
        <icon>/media/packages/2025/icon_KWumU8V.png</icon>
        <author_name><![CDATA[Landesamt für Denkmalpflege im Regierungspräsidium Stuttgart; CSGIS gbr.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/s2g_data_processor/version/0.2.3/download/</download_url>
        <uploaded_by><![CDATA[2109]]></uploaded_by>
        <create_date>2025-08-20T07:45:39.324183+00:00</create_date>
        <update_date>2025-08-28T11:48:18.231221+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/survey2gis/s2g-qgis-extension/issues]]></tracker>
        <repository><![CDATA[https://github.com/survey2gis/s2g-qgis-extension]]></repository>
        <tags><![CDATA[python,totalstation,tachymeter,survey2gis]]></tags>
        <downloads>1038</downloads>
        <average_vote>3.749687526039497</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Downscale Anything with Random Forest" version="1.0.0" plugin_id="4139">
        <description><![CDATA[Downscale Anything with Random Forest is a QGIS Processing plugin that allows
flexible dasymetric downscaling of coarse rasters to user-defined resolutions.
The algorithm uses high-resolution covariates and Random Forest regression to redistribute values.
Key features include:
1. User-defined target resolution.
2. Random Forest regression with fast pixel sampling.
3. Support for random or spatial-block splitting.
4. Evaluation metrics (R², RMSE, MAE) and OOB score.
5. Outputs raster, CSV (evaluation + feature importance), and PNG plots.]]></description>
        <about><![CDATA[This plugin provides a practical way to perform machine-learning-based downscaling in QGIS.
It is suitable for spatial analysis, environmental modeling, and urban/regional studies.
Example use cases include downscaling VIIRS Nighttime Lights (avg_rad), Land Surface Temperature (LST),
population density (e.g., WorldPop), and other gridded indicators (e.g., PM2.5, precipitation,
socio-economic indices).
Created by Firman Afrianto.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/DownscaleAnythingRF]]></homepage>
        <file_name>downscale_anything_rf_fast.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_aVZ2e2f.png</icon>
        <author_name><![CDATA[Firman Afrianto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/downscale_anything_rf_fast/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2025-08-20T16:38:40.979615+00:00</create_date>
        <update_date>2025-08-20T16:38:43.012008+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/DownscaleAnythingRF/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/DownscaleAnythingRF]]></repository>
        <tags><![CDATA[raster,regression,spatial analysis,random forest,urban planning,ai,downscaling]]></tags>
        <downloads>887</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mappedin MVF Importer" version="2.0.3" plugin_id="4140">
        <description><![CDATA[A QGIS plugin for importing Mappedin MVF v3 (Map Venue Format) packages from local files or directly from the Mappedin API]]></description>
        <about><![CDATA[This plugin enables QGIS users to import Mappedin MVF v3 packages directly into QGIS as vector layers. Users can import from local ZIP files or fetch data directly from the Mappedin API using their API credentials. MVF v3 packages contain indoor mapping data including floor plans, points of interest, and venue metadata. The plugin requires the &#x27;requests&#x27; Python library for API functionality, which is typically included with QGIS installations. The Mappedin name and logo (logowhite.png) are trademarks of Mappedin and are included solely for use within this plugin; they are not licensed for reuse, redistribution, or modification outside this plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.mappedin.com]]></homepage>
        <file_name>mappedin_mvf_importer.2.0.3.zip</file_name>
        <icon>/media/packages/2025/Mappedin_Secondary_Logo_Xc819p7.png</icon>
        <author_name><![CDATA[Mappedin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mappedin_mvf_importer/version/2.0.3/download/</download_url>
        <uploaded_by><![CDATA[debit0119]]></uploaded_by>
        <create_date>2025-08-20T21:16:37.459086+00:00</create_date>
        <update_date>2025-09-22T15:20:53.107819+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/mappedin/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[http://github.com/mappedin/qgis-plugin]]></repository>
        <tags><![CDATA[import,floor plan,indoor mapping,mappedin,venue,mvf]]></tags>
        <downloads>698</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Show Feature Count Toggle" version="0.3" plugin_id="4141">
        <description><![CDATA[Das Plugin installiert einen Umschalter zum Ein- und Ausblenden der Objektanzahl-Anzeige für alle Vektor-Layer. Eine genaue Beschreibung und FAQs  finden Sie unter https://geoobserver.de/showfeaturecounttoggle/. Eine Haftung für die Richtigkeit aller Funktionen des Plugins kann trotz sorgfältiger Prüfung nicht übernommen werden. Das gilt auch für eventuelle Schäden oder Konsequenzen, die durch die direkte oder indirekte Nutzung der angebotenen Inhalte entstehen.&lt;hr&gt;The plugin installs a toggle for showing and hiding the object count display for all vector layers.]]></description>
        <about><![CDATA[Fügt eine Toolbar-Schaltfläche hinzu, die die &#x27;Objektanzahl anzeigen&#x27;-Funktion für alle Layer gleichzeitig ein- oder ausschaltet. / Adds a toolbar button that switches the &#x27;Show object count&#x27; function on or off for all layers simultaneously.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoobserver.de/ShowFeatureCountToggle/]]></homepage>
        <file_name>ShowFeatureCountToggle.0.3.zip</file_name>
        <icon>/media/packages/2026/logo_iAvt9op.png</icon>
        <author_name><![CDATA[Mike Elstermann (#geoObserver)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ShowFeatureCountToggle/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[geoobserver]]></uploaded_by>
        <create_date>2025-08-21T20:20:16.087174+00:00</create_date>
        <update_date>2026-02-25T15:18:43.343766+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoObserver/ShowFeatureCountToggle/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geoObserver/ShowFeatureCountToggle/]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>956</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CartoMinMex in QGIS" version="1.1.0" plugin_id="4143">
        <description><![CDATA[Fetches and loads the official mining concessions data from CartoMinMex (SE/DGM) directly into QGIS. This plugin requires an active internet connection and is intended for data related to Mexico.]]></description>
        <about><![CDATA[CartoMinMex_QGIS loads the official layer of mining concessions (SE/DGM) and allows checking for data updates.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/eduardolemus-geo/CartoMinMex_QGIS]]></homepage>
        <file_name>CartoMinMex_QGIS.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_i8SVF3a.png</icon>
        <author_name><![CDATA[Eduardo Lemus]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CartoMinMex_QGIS/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[eduardolemus]]></uploaded_by>
        <create_date>2025-08-22T19:01:53.183446+00:00</create_date>
        <update_date>2025-08-22T19:01:55.734023+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eduardolemus-geo/CartoMinMex_QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/eduardolemus-geo/CartoMinMex_QGIS]]></repository>
        <tags><![CDATA[qgis,mining,cartominmex,mexico]]></tags>
        <downloads>814</downloads>
        <average_vote>3.3993201359728054</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AutoLayer" version="2.0" plugin_id="4144">
        <description><![CDATA[A smart QGIS plugin that automatically processes newly added layers with custom symbology, CRS handling, autosave functionality, and comprehensive settings management.]]></description>
        <about><![CDATA[AutoLayer v2.0 Plugin - Key Features:
1. CRS selection dialog on startup with customizable preferred CRS list (up to 10).
2. Preferred CRS manager for adding/removing favorite CRS options.
3. Auto assign CRS for vector and raster layers.
4. AutoSave layer edits with configurable interval and prompt option.
5. AutoSave project with configurable interval and prompt option.
6. Auto symbology for point, line, and polygon layers.
7. Auto-enable editing mode for new vector layers.
8. Auto-show feature count for new vector layers.
9. Auto enable &quot;Selection&quot; mode on startup.
10. Auto-collapse raster layers (.pix, .tif, .tiff).
11. Settings dialog with dropdown menu for feature customization.
12. Individual toggles/checkboxes for all auto-features via settings.
13. Toggle plugin on/off via toolbar icon.
14. Special styling for &quot;EO&quot;, &quot;Tile&quot;, &quot;Grid&quot;, and &quot;Cutline&quot; layers with auto-labeling.
15. Sequential colors (16-color palette) for vector layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/md-moinul-mobin/AutoLayer]]></homepage>
        <file_name>AutoLayer.2.0.zip</file_name>
        <icon>/media/packages/2026/autolayer.png</icon>
        <author_name><![CDATA[MD Moinul Mobin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AutoLayer/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[moinul95]]></uploaded_by>
        <create_date>2025-08-22T20:10:06.020197+00:00</create_date>
        <update_date>2026-01-26T19:02:48.989262+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/md-moinul-mobin/AutoLayer/issues]]></tracker>
        <repository><![CDATA[https://github.com/md-moinul-mobin/AutoLayer]]></repository>
        <tags><![CDATA[vector,layer,style,crs,settings,label,autosave,auto,symbology,styling,collapse]]></tags>
        <downloads>2497</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Billabong" version="1.6" plugin_id="4145">
        <description><![CDATA[Billabong is a comprehensive QGIS plugin for hydrology and flood engineering, providing instant access to Australian rainfall data, flood maps, satellite imagery, and essential web tools.]]></description>
        <about><![CDATA[Billabong streamlines the workflow for Australian flood engineers and hydrologists by integrating critical datasets directly into QGIS. It provides organized access to over 100+ national and state-based layers, including Bureau of Meteorology rainfall data, Geoscience Australia topography, Digital Earth Australia satellite imagery, and historical flood maps for Queensland and NSW. The plugin also includes a suite of web tools for quick access to ARR Data Hub, RFFE, BoM design rainfall (IFD), and climate change data, making it an essential toolkit for water resource professionals.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://wrmwater.com.au]]></homepage>
        <file_name>Billabong.1.6.zip</file_name>
        <icon>/media/packages/2026/icon_fRfEOmy.png</icon>
        <author_name><![CDATA[lmillard79]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Billabong/version/1.6/download/</download_url>
        <uploaded_by><![CDATA[lamilla79]]></uploaded_by>
        <create_date>2025-08-24T03:30:31.183009+00:00</create_date>
        <update_date>2026-03-21T07:06:07.451109+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmillard79/Billabong-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmillard79/Billabong-QGIS-Plugin]]></repository>
        <tags><![CDATA[vector,python,raster,map,web,wfs,wms,hydrology,flood,remote sensing,webservice,layers,satellite,rainfall,weather,xyz,australia,meteorology,bureau of meteorology,bom]]></tags>
        <downloads>983</downloads>
        <average_vote>1.999600079984003</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CSV to Points" version="1.1" plugin_id="4146">
        <description><![CDATA[Easily create a point layer from latitude/longitude or address fields by simply dragging a CSV file into the plugin.]]></description>
        <about><![CDATA[This plugin allows users to quickly and intuitively create point layers from CSV files. Simply drag and drop a CSV file into the plugin window, and the plugin will automatically detect fields containing latitude/longitude or address data, enabling you to generate a point layer with a single click.

- Supports point generation using either coordinates or addresses
- Relevant fields are automatically detected, but can also be selected manually via dropdown menus
- Users can customize and add field names to be used in automatic detection

Ideal for those who frequently work with CSV files containing latitude/longitude or address data, this plugin enables point generation without the need to open complex configuration dialogs.

このプラグインは、CSVファイルからポイントレイヤを素早く直感的に作成できるツールです。CSVファイルをプラグインウインドウにドラッグするだけで、緯度・経度または住所フィールドが自動で検出され、ワンクリックでポイントレイヤを生成できます。

・緯度経度と住所によるポイント化の両方に対応
・使用するフィールドは自動判定されますが、選択メニューで手動選択も可能
・自動判定に使うフィールド名は利用者が追加・カスタマイズ可能

緯度・経度、または住所データを含むCSVファイルを扱う機会が多い方に最適で、複雑な設定画面を開くことなくポイント化が可能です。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/techteam-gis/CSV-to-Points]]></homepage>
        <file_name>csv_to_points.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_ylsMnih.png</icon>
        <author_name><![CDATA[Takeshi Tanaka]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/csv_to_points/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[takeshit]]></uploaded_by>
        <create_date>2025-08-24T06:17:23.438060+00:00</create_date>
        <update_date>2025-08-31T02:09:22.913723+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/techteam-gis/CSV-to-Points/issues]]></tracker>
        <repository><![CDATA[https://github.com/techteam-gis/CSV-to-Points]]></repository>
        <tags><![CDATA[geocoding,points,csv,latitude,longitude,drag-and-drop,latlon]]></tags>
        <downloads>4060</downloads>
        <average_vote>2.928362259838583</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DesagregaBiomasBR" version="1.1" plugin_id="4147">
        <description><![CDATA[Assistente para seleção e desagregação de dados ambientais brasileiros (PRODES, DETER, TERRACLASS, ÁREA QUEIMADA)]]></description>
        <about><![CDATA[Elaborado no âmbito do Programa AIM4Forests, pela FAO e INPE, o Plugin que oferece um assistente guiado para para seleção e desagregação de dados ambientais brasileiros. Acessa dados oficiais do PRODES, DETER, TERRACLASS e ÁREA QUEIMADA com opções avançadas de corte espacial.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geodenilson/DesagregaBiomasBR]]></homepage>
        <file_name>DesagregaBiomasBR.1.1.zip</file_name>
        <icon>/media/packages/2025/mapa_fe2wbad.png</icon>
        <author_name><![CDATA[Denilson Passo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DesagregaBiomasBR/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[geodenilson]]></uploaded_by>
        <create_date>2025-08-24T23:56:39.062699+00:00</create_date>
        <update_date>2025-11-28T15:28:58.584203+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geodenilson/DesagregaBiomasBR/issues]]></tracker>
        <repository><![CDATA[https://github.com/geodenilson/DesagregaBiomasBR]]></repository>
        <tags><![CDATA[analysis,environment,brazil,deforestation,monitoring,inpe,prodes,biome,deter,terraclass]]></tags>
        <downloads>1078</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OG.FLUSH" version="0.2" plugin_id="4148">
        <description><![CDATA[This plugin designs a sewer network from open geodata (e.g. OSM) - Dieses Plugin entwirft ein Kanalnetz auf Basis offener Geodaten (z.B. OSM)]]></description>
        <about><![CDATA[EN: This plugin designs a sewer system based on open-access geodata (e.g. OSM). The outputs can be used for hydrodynamic models like SWMM. - DE: Dieses Plugin entwirft ein Kanalnetz auf Basis frei zugänglicher Geodaten (z.B. OSM). Die Ergebnisse können für hydrodynamische Modelle wie SWMM verwendet werden.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/diegotud/OG_FLUSH/]]></homepage>
        <file_name>og_flush.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_7tMdPBZ.png</icon>
        <author_name><![CDATA[Arbeitsgruppe Siedlungshydrologie, Institut für Siedlungs- und Industriewasserwirtschaft, Technische Universität Dresden]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/og_flush/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[ogflush]]></uploaded_by>
        <create_date>2025-08-25T14:29:56.592060+00:00</create_date>
        <update_date>2026-03-11T10:57:53.226197+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/diegotud/OG_FLUSH/issues]]></tracker>
        <repository><![CDATA[https://github.com/diegotud/OG_FLUSH]]></repository>
        <tags><![CDATA[routing,drainage,wastewater,sewer,urban planning,stormwater,stadthydrologie,kanalisation,entwässerung]]></tags>
        <downloads>513</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MUSCAT" version="1.0" plugin_id="4150">
        <description><![CDATA[MUSCAT (Markov-based Urban Simulation and Change Analysis Tool)
is a QGIS plugin that allows users to simulate and validate land-use/land-cover
changes using a Markov chain model. It supports spatial variables, multiple
time steps, and validation metrics.]]></description>
        <about><![CDATA[MUSCAT is designed for urban and regional land-use change modelling.
It provides a simple interface to run Markov-based simulations,
validate predictions with reference maps, and export transition
matrices and area change tables.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/deinpal/muscat]]></homepage>
        <file_name>MUSCAT.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_X6Y3DUh.png</icon>
        <author_name><![CDATA[Souryabrata Pal]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MUSCAT/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[deinpal]]></uploaded_by>
        <create_date>2025-08-27T18:51:04.536790+00:00</create_date>
        <update_date>2025-08-27T18:51:06.754751+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/deinpal/muscat/issues]]></tracker>
        <repository><![CDATA[https://github.com/deinpal/muscat]]></repository>
        <tags><![CDATA[validation,change detection,land use,qgis plugin,urban simulation,markov]]></tags>
        <downloads>562</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CEMDownloader in QGIS" version="0.1.0" plugin_id="4151">
        <description><![CDATA[Downloads INEGI CEM V3 by state (ZIP) and by polygon, and loads rasters automatically into the QGIS project. Temporary files are stored in the OS temp directory.]]></description>
        <about><![CDATA[CEMDownloader_QGIS fetches CEM V3 by state and performs WCS-based per-polygon downloads with clipping, adding Single-band Gray styled rasters to the project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/eduardolemus-geo/CEMDownloader_QGIS]]></homepage>
        <file_name>CEMDownloader_QGIS.0.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_tdDNYpS.png</icon>
        <author_name><![CDATA[Eduardo Lemus]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CEMDownloader_QGIS/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[eduardolemus]]></uploaded_by>
        <create_date>2025-08-27T19:23:14.438683+00:00</create_date>
        <update_date>2025-08-27T19:23:16.304779+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eduardolemus-geo/CEMDownloader_QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/eduardolemus-geo/CEMDownloader_QGIS]]></repository>
        <tags><![CDATA[raster,wcs,dem,qgis,mexico,inegi,cem]]></tags>
        <downloads>870</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GoogleMapsStreetDock" version="2.0" plugin_id="4152">
        <description><![CDATA[Opens Google Maps in a dockable panel centered at clicked map locations.
Allows seamless switching between Map View and Street View for detailed digitization using high-resolution imagery.]]></description>
        <about><![CDATA[GoogleMapsStreetDock is a QGIS plugin that integrates Google Maps and Street View into a dockable browser panel.
By clicking on the QGIS map canvas, users instantly center the view on the clicked location with coordinates automatically transformed to WGS84 (EPSG:4326).
The plugin supports toggling between Map View and Street View within the panel, facilitating precise road network digitization and feature verification using real-world imagery directly inside QGIS.

-Needs PyQtWebEngine
-See README (https://github.com/Consortis-Geospatial/GoogleMapsStreetDock) for installation help.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Consortis-Geospatial]]></homepage>
        <file_name>GoogleMapsDock.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_Y85hVVC.png</icon>
        <author_name><![CDATA[Gkaravelis Andreas - Consortis Geospatial]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GoogleMapsDock/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[gkaravelis]]></uploaded_by>
        <create_date>2025-08-28T11:19:10.455989+00:00</create_date>
        <update_date>2025-08-28T11:19:12.245003+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Consortis-Geospatial/GoogleMapsStreetDock/issues]]></tracker>
        <repository><![CDATA[https://github.com/Consortis-Geospatial/GoogleMapsStreetDock]]></repository>
        <tags><![CDATA[streetview,mapping,digitization,roadnetwork,dockpanel,googlemaps,webview]]></tags>
        <downloads>20977</downloads>
        <average_vote>4.99964288265124</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ImageLoader" version="2.0" plugin_id="4153">
        <description><![CDATA[Click a polygon grid cell to automatically load the corresponding raster image from a selected folder. Optionally set filename prefix and suffix.]]></description>
        <about><![CDATA[ImageLoader is a QGIS plugin that allows users to click on polygons (e.g., grid tiles) to automatically load and display associated raster images from a local folder.

The plugin supports customizable filename patterns using prefixes and suffixes, and provides an interactive interface for selecting the  input layer, field, and image directory.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Consortis-Geospatial]]></homepage>
        <file_name>ImageLoader.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_gaK8cSM.png</icon>
        <author_name><![CDATA[Gkaravelis Andreas - Consortis Geospatial]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ImageLoader/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[gkaravelis]]></uploaded_by>
        <create_date>2025-08-28T11:20:02.883493+00:00</create_date>
        <update_date>2025-08-28T11:20:04.535610+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Consortis-Geospatial/ImageLoader/issues]]></tracker>
        <repository><![CDATA[https://github.com/Consortis-Geospatial/ImageLoader]]></repository>
        <tags><![CDATA[raster,grid,image,images]]></tags>
        <downloads>960</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MunicipalityUnitsUnsnappedLines" version="1.0" plugin_id="4154">
        <description><![CDATA[Detects road network lines that do not anchor properly at municipal boundaries.]]></description>
        <about><![CDATA[MunicipalityUnitsUnsnappedLines is a QGIS plugin that identifies road network line features (multiline geometries) whose start or end points do not properly intersect municipal boundary polygons within a user-defined distance threshold.

This helps reveal topological issues or missing connections between networks and administrative borders—especially useful when integrating road datasets from different sources.

Users can specify a maximum snapping distance (in meters), choose to run the check on full layers or only on selected features, and inspect flagged line endpoints in an interactive dock. Results can be exported to a point shapefile for further correction or review.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Consortis-Geospatial]]></homepage>
        <file_name>MunicipalityUnitsUnsnappedLines.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_0CyXlmF.png</icon>
        <author_name><![CDATA[Gkaravelis Andreas - Consortis Geospatial]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MunicipalityUnitsUnsnappedLines/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gkaravelis]]></uploaded_by>
        <create_date>2025-08-28T11:20:44.424346+00:00</create_date>
        <update_date>2025-08-28T11:20:47.078526+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Consortis-Geospatial/MunicipalityUnitsUnsnappedLines/issues]]></tracker>
        <repository><![CDATA[https://github.com/Consortis-Geospatial/MunicipalityUnitsUnsnappedLines]]></repository>
        <tags><![CDATA[topology,gis,connectivity,roadnetwork,boundarycheck,networkanalysis]]></tags>
        <downloads>378</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UnsnappedVerticesChecker" version="1.0" plugin_id="4155">
        <description><![CDATA[Identifies nearby unconnected vertices between different line features.]]></description>
        <about><![CDATA[UnsnappedVerticesChecker is a QGIS plugin designed to detect vertices that are spatially close to each other but belong to different line features and are not snapped together. These unsnapped connections may indicate topological errors, such as road segments that appear connected but aren&#x27;t.

Users can define a proximity threshold in meters. The plugin will analyze the vertices in the active line layer and report cases where different features have vertices that are closer than the threshold but are not connected. The results are displayed in an interactive dock with zoom-to-feature functionality and can be exported as a point shapefile marking the midpoints of flagged pairs.

The plugin supports both full-layer scans and selected-feature-only analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Consortis-Geospatial]]></homepage>
        <file_name>UnsnappedVerticesChecker.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_o8pdNXe.png</icon>
        <author_name><![CDATA[Gkaravelis Andreas - Consortis Geospatial]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/UnsnappedVerticesChecker/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gkaravelis]]></uploaded_by>
        <create_date>2025-08-28T11:21:27.580154+00:00</create_date>
        <update_date>2025-08-28T11:21:29.514517+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Consortis-Geospatial/UnsnappedVerticesChecker/issues]]></tracker>
        <repository><![CDATA[https://github.com/Consortis-Geospatial/UnsnappedVerticesChecker]]></repository>
        <tags><![CDATA[topology,connectivity,qa,roadnetwork,geometrycheck]]></tags>
        <downloads>1015</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DisconnectedRoadChecker" version="1.0" plugin_id="4156">
        <description><![CDATA[Identifies short, disconnected road segments - commonly referred to as disconnected islands - that are not properly connected to the rest of the road network.
Checks if segment endpoints lack nearby connections within a 0.5 meter buffer to detect topological errors or incomplete digitizations.]]></description>
        <about><![CDATA[DisconnectedRoadChecker is a QGIS plugin designed to flag short road segments isolated from the main network.
It analyzes line geometries and checks if segment endpoints connect to other features within a 0.5 meter proximity.
Users can define a maximum allowed segment length (meters).
Results appear in an interactive dock with zoom and selection options.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Consortis-Geospatial]]></homepage>
        <file_name>DisconnectedRoadNetworkChecker.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_MbK9Ov4.png</icon>
        <author_name><![CDATA[Gkaravelis Andreas - Consortis Geospatial]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DisconnectedRoadNetworkChecker/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gkaravelis]]></uploaded_by>
        <create_date>2025-08-28T11:24:09.736472+00:00</create_date>
        <update_date>2025-08-28T11:24:12.197236+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Consortis-Geospatial/DisconnectedRoadNetworkChecker/issues]]></tracker>
        <repository><![CDATA[https://github.com/Consortis-Geospatial/DisconnectedRoadNetworkChecker]]></repository>
        <tags><![CDATA[topology,roadnetwork,networkanalysis,qualitycontrol,disconnectedislands]]></tags>
        <downloads>740</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sentinel 1 Image Downloader" version="1.0" plugin_id="4157">
        <description><![CDATA[This plugin allows users to download Sentinel-1 images.]]></description>
        <about><![CDATA[This plugin allows users to download Sentinel-1 images from Copernicus Data Space platform (https://dataspace.copernicus.eu). Images can be downloaded as zip files. Another option is to download only &quot;quicklook&quot; image (RGB image with lower resolution and size) instead of original Sentinel-1 data. Analysis consists of three processes. &quot;Download Footprints&quot;, &quot;Download Images&quot; and &quot;Select Images&quot;. In &quot;Download Footprints&quot; section footprints of the images are retrieved based on given conditions (such as date, query area etc.) In &quot;Download Images&quot; section credentials are provided and images are downloaded. &quot;Select Images&quot; section is optional. In this section; footprints can be filtered using quicklook file and saved as new geopackage file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_sentinel1_image_downloader_plugin]]></homepage>
        <file_name>sentinel_1_downloader.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_ycRFG7A.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sentinel_1_downloader/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2025-08-28T15:41:28.768089+00:00</create_date>
        <update_date>2025-08-28T15:41:30.843700+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_sentinel1_image_downloader_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_sentinel1_image_downloader_plugin/tree/main/sentinel_1_downloader]]></repository>
        <tags><![CDATA[python,raster,image,sentinel,sar,satellite,radar,remote,copernicus,sensing]]></tags>
        <downloads>3450</downloads>
        <average_vote>2.665778073975342</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="JVF DTM Plugin" version="1.2.0" plugin_id="4158">
        <description><![CDATA[Displays Czech digital technical map data (DTM JVF format) directly in QGIS. Umožňuje zobrazit data digitální technické mapy (DTM) ve formátu JVF přímo v QGISu.]]></description>
        <about><![CDATA[Loads JVF DTM files into QGIS and organizes features into layer groups. Each layer is automatically styled using predefined symbology. Files are processed in the background to keep QGIS responsive during loading. Načítá soubory digitální technické mapy (DTM) ve formátu JVF do QGISu a organizuje prvky do skupin vrstev. Každé vrstvě je automaticky přiřazen předdefinovaný styl. Načítání probíhá na pozadí, takže QGIS zůstává během procesu plně responzivní.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MapGeeks/qgis-jvf-dtm-plugin]]></homepage>
        <file_name>qgis_jvf_dtm_plugin.1.2.0.zip</file_name>
        <icon>/media/packages/2025/iconIn.png</icon>
        <author_name><![CDATA[Linda Karlovská, Petr Barandovski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_jvf_dtm_plugin/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[lindakarlovska]]></uploaded_by>
        <create_date>2025-08-28T17:37:36.476668+00:00</create_date>
        <update_date>2025-08-28T17:37:39.110691+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MapGeeks/qgis-jvf-dtm-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MapGeeks/qgis-jvf-dtm-plugin]]></repository>
        <tags><![CDATA[python,dtm,jvf,dmvs,digitální technická mapa]]></tags>
        <downloads>594</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickStyle" version="1.0" plugin_id="4159">
        <description><![CDATA[A plugin for quick styling and management of vector layers in QGIS]]></description>
        <about><![CDATA[This plugin provides tools for CRS management, field operations, attribute table access, symbology, labeling, and categorization of vector layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/md-moinul-mobin/QuickStyle]]></homepage>
        <file_name>QuickStyle.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[MD Moinul Mobin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickStyle/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[moinul95]]></uploaded_by>
        <create_date>2025-08-29T19:37:28.168880+00:00</create_date>
        <update_date>2025-08-29T19:37:30.120667+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/md-moinul-mobin/QuickStyle/issues]]></tracker>
        <repository><![CDATA[https://github.com/md-moinul-mobin/QuickStyle.git]]></repository>
        <tags><![CDATA[vector,style,labeling,attribute table,crs,label,symbol,quick,symbology,add field,rule based,multiple label,categorization,categorize,show selected features]]></tags>
        <downloads>1851</downloads>
        <average_vote>4.499437570303712</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ClimaPlots" version="1.0" plugin_id="4160">
        <description><![CDATA[Analyze and visualize climate data from NASA POWER, including temperature, precipitation, and solar radiation, directly within QGIS.]]></description>
        <about><![CDATA[ClimaPlots enables users to access, analyze, and plot NASA POWER climate datasets in QGIS, supporting spatial and temporal exploration for environmental research and decision-making.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://caioarantes.github.io/climaplots/]]></homepage>
        <file_name>climaplots.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_5Q9JfCX.png</icon>
        <author_name><![CDATA[Caio Arantes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/climaplots/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[caioarantes]]></uploaded_by>
        <create_date>2025-08-30T11:48:13.723613+00:00</create_date>
        <update_date>2025-09-10T17:43:01.650930+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caioarantes/climaplots/issues]]></tracker>
        <repository><![CDATA[https://github.com/caioarantes/climaplots]]></repository>
        <tags><![CDATA[python,raster,remote sensing,sentinel,sar,radar,google earth engine]]></tags>
        <downloads>3531</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GreenAreaCalculator" version="1.0.0" plugin_id="4162">
        <description><![CDATA[Calculates the proportion of green areas within census sectors]]></description>
        <about><![CDATA[This plugin calculates green area coverage within census sectors using NDVI analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/indiaraelis/GreenAreaCalculator]]></homepage>
        <file_name>GreenAreaCalculator.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_mROcR1V.png</icon>
        <author_name><![CDATA[Indiara Elis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GreenAreaCalculator/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[indiaraelis]]></uploaded_by>
        <create_date>2025-09-01T16:38:05.151814+00:00</create_date>
        <update_date>2025-09-02T15:37:43.005977+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/indiaraelis/GreenAreaCalculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/indiaraelis/GreenAreaCalculator]]></repository>
        <tags><![CDATA[analysis,urban,ndvi,vegetation,census]]></tags>
        <downloads>867</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NAD Waterketen Kaarten" version="0.3" plugin_id="4163">
        <description><![CDATA[Centrale plek om handige kaarten voor waterketen en rioolbeheer te vinden en snel in te laden.]]></description>
        <about><![CDATA[Centrale plek om handige kaarten voor waterketen en rioolbeheer te vinden en snel in te laden.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NAD-Dataplatform/NADmaps]]></homepage>
        <file_name>NADmaps.0.3.zip</file_name>
        <icon>/media/packages/2025/nad.png</icon>
        <author_name><![CDATA[Netwerk Waterketen Delfland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NADmaps/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[naddataplatform]]></uploaded_by>
        <create_date>2025-09-02T07:12:59.844891+00:00</create_date>
        <update_date>2025-09-29T05:43:55.791228+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NAD-Dataplatform/NADmaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/NAD-Dataplatform/NADmaps]]></repository>
        <tags><![CDATA[python,wfs,nederland,pdok]]></tags>
        <downloads>835</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Copernicus Connect" version="0.11" plugin_id="4165">
        <description><![CDATA[Easy browse, download, and visualise Copernicus data into your QGIS.]]></description>
        <about><![CDATA[Copernicus Connect provides a graphical interface for discovering, querying, and downloading datasets from the WEkEO platform via the Harmonized Data Access (HDA) API. It also enables integration of WMS and WMTS services into QGIS.

The plugin, install requires Python packages: hda (Apache 2.0), owslib&gt;=0.31.0 (BSD). If something fails, see the readme &lt;a href=&quot;https://github.com/copernicus-land/Copernicus-Connect&quot; target=&quot;_blank&quot;&gt;plugin-guide&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://land.copernicus.eu]]></homepage>
        <file_name>Copernicus_Connect.0.11.zip</file_name>
        <icon>/media/packages/2026/icon_4bs6jwR.png</icon>
        <author_name><![CDATA[European Environment Agency (EEA)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Copernicus_Connect/version/0.11/download/</download_url>
        <uploaded_by><![CDATA[eea2025]]></uploaded_by>
        <create_date>2025-09-02T11:16:25.234868+00:00</create_date>
        <update_date>2026-01-27T10:17:42.912336+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/copernicus-land/Copernicus-Connect/issues]]></tracker>
        <repository><![CDATA[https://github.com/copernicus-land/Copernicus-Connect]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>12221</downloads>
        <average_vote>4.049898752531187</average_vote>
        <rating_votes>40</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Set Layer Transparency" version="0.4" plugin_id="4166">
        <description><![CDATA[Setzt on bloc die Transparenz aller oder nur markierter Layer auf einen einzugebenden Wert / Sets the transparency of all or only selected layers on bloc to a value to be entered.]]></description>
        <about><![CDATA[(06.10.2025)&lt;/br&gt;Setzt on bloc die Transparenz aller oder nur markierter Layer auf einen einzugebenden Wert / Sets the transparency of all or only selected layers on bloc to a value to be entered.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoobserver.de/SetLayerTransparency/]]></homepage>
        <file_name>SetLayerTransparency.0.4.zip</file_name>
        <icon>/media/packages/2026/logo_1gCkfdG.png</icon>
        <author_name><![CDATA[Mike Elstermann (#geoObserver)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SetLayerTransparency/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[geoobserver]]></uploaded_by>
        <create_date>2025-09-02T12:32:21.748985+00:00</create_date>
        <update_date>2026-02-26T13:25:26.889780+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoObserver/SetLayerTransparency/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geoObserver/SetLayerTransparency/]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1629</downloads>
        <average_vote>4.856449078703042</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Chinese Basemap" version="0.6" plugin_id="4167">
        <description><![CDATA[This plugin provides a variety of Chinese basemap data sources.本插件提供多种中文底图数据源。]]></description>
        <about><![CDATA[This plugin provides a variety of Chinese basemap data sources, including AMap, Tencent Map, GEOVIS Earth, GEOVIS Cloud, JiLin-1 and TianDiTu. The available data types include satellite imagery, historical satellite imagery, super-resolution satellite imagery, vector basemaps (available in multiple display styles), Chinese administrative boundaries and common grid mesh of earth.
本插件提供多种中文底图数据源，包括高德地图、腾讯地图、星图地球、星图云、吉林一号、天地图。数据类型包括卫星影像、历史影像、超分影像、不同显示风格的矢量图、行政区划边界、地图格网(经纬网、接图表、方里网、重要纬线)。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.phoenix-gis.cn/d/226-qgiszhong-wen-di-tu-cha-jian-zheng-shi-shang-xian]]></homepage>
        <file_name>chinese_basemap.0.6.zip</file_name>
        <icon>/media/packages/2026/icon_XDvXaHm.png</icon>
        <author_name><![CDATA[phoenix-gis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/chinese_basemap/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[phoenixgis]]></uploaded_by>
        <create_date>2025-09-02T14:56:35.008526+00:00</create_date>
        <update_date>2026-04-02T01:51:07.630413+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://www.phoenix-gis.cn/d/224-qgischa-jian-shi-yong-wen-ti-hui-zong]]></tracker>
        <repository><![CDATA[https://github.com/robert6757/qgis-chinese-basemap]]></repository>
        <tags><![CDATA[vector,raster,wms,datasource,basemap,wmts,xyz,basemaps]]></tags>
        <downloads>8278</downloads>
        <average_vote>4.874878128046799</average_vote>
        <rating_votes>40</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeocodificaCatastaliSardegna" version="1.0.0" plugin_id="4169">
        <description><![CDATA[Il plugin consente di ricercare ed esportare le particelle catastali relative al territorio della Regione Sardegna.
Nota: in caso di problemi con le librerie, si consiglia l’installazione di QGIS 3.40 LTR.


The plugin allows searching and exporting cadastral parcels related to the territory of the Sardinia Region.
Note: in case of library issues, it is recommended to install QGIS 3.40 LTR.]]></description>
        <about><![CDATA[Plugin QGIS per l’esportazione delle geometrie catastali relative al territorio della Sardegna. Supporta filtri per provincia, comune e foglio, nonché la ricerca e l’esportazione di più particelle consecutive separate da virgola. Utilizza, previa acquisizione in locale, il dataset ufficiale fornito dall’Agenzia delle Entrate. Nota: in caso di problemi con le librerie, si consiglia l’installazione di QGIS 3.40 LTR.

QGIS plugin for exporting cadastral parcel geometries of the Sardinian territory. It supports filters by province, municipality, and map sheet, as well as the search and export of multiple consecutive parcels separated by commas. The plugin relies on the official dataset provided by the Italian Revenue Agency (AdE), which must be downloaded locally before use. Note: in case of library issues, it is recommended to install QGIS 3.40 LTR.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.tutelapaesaggiosardegna.info]]></homepage>
        <file_name>GeocodificaCatastaliSardegna.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_BZ2sQm2.png</icon>
        <author_name><![CDATA[TutelaPaesaggioSardegna]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeocodificaCatastaliSardegna/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[tpsdivp]]></uploaded_by>
        <create_date>2025-09-03T06:51:13.050973+00:00</create_date>
        <update_date>2025-09-03T06:51:15.696925+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tutelapaesaggiosardegna/GeocodificaCatastaliSardegna/issues]]></tracker>
        <repository><![CDATA[https://github.com/tutelapaesaggiosardegna/GeocodificaCatastaliSardegna]]></repository>
        <tags><![CDATA[geocoding,catasto,qgis,particelle,sardegna]]></tags>
        <downloads>496</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Table Compare" version="1.0.0" plugin_id="4170">
        <description><![CDATA[Visual comparison tool for vector layers and tables with change detection, filtering, and export capabilities]]></description>
        <about><![CDATA[Table Compare is a powerful plugin that enables visual comparison of two vector layers or tables with similar structures. Perfect for version control, data auditing, and change detection workflows. Features include color-coded difference visualization (Added/Deleted/Modified/Unchanged), field-level change tracking with old→new value display, flexible filtering options, accept/reject workflow for changes, smart column selection to ignore system fields, CSV export with decision tracking, custom join field selection, and sortable results with dynamic row numbering. Ideal for GIS analysts, data managers, quality assurance teams, and collaborative mapping projects requiring change documentation and approval workflows.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/meyerlor/QGIS-table-compare]]></homepage>
        <file_name>table_compare.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_pq1szYv.png</icon>
        <author_name><![CDATA[Lorenz Meyer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/table_compare/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[meyerlor]]></uploaded_by>
        <create_date>2025-09-03T09:43:19.433470+00:00</create_date>
        <update_date>2025-09-03T09:43:21.284499+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/meyerlor/QGIS-table-compare/issues]]></tracker>
        <repository><![CDATA[https://github.com/meyerlor/QGIS-table-compare]]></repository>
        <tags><![CDATA[python,analysis,merge,table,audit,sync,diff,compare,change-detection,data-quality,version-control]]></tags>
        <downloads>804</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="groupLayers" version="0.2" plugin_id="4171">
        <description><![CDATA[Group Layers by Type]]></description>
        <about><![CDATA[Quickly toggle between grouping of layers by type and project tree.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/camptocamp/QgisGroupLayers]]></homepage>
        <file_name>groupLayers.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_oFTakGP.png</icon>
        <author_name><![CDATA[Moritz KIRMSE (camptocamp)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/groupLayers/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mkic2c]]></uploaded_by>
        <create_date>2025-09-03T15:02:17.396069+00:00</create_date>
        <update_date>2025-09-03T15:04:25.256240+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/camptocamp/QgisGroupLayers/issues]]></tracker>
        <repository><![CDATA[https://github.com/camptocamp/QgisGroupLayers]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>425</downloads>
        <average_vote>0.9990009990009991</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Place Folding Marks" version="1.1" plugin_id="4172">
        <description><![CDATA[Adds or replaces folding marks to a layout.]]></description>
        <about><![CDATA[Adds or replaces folding marks to a layout. This plugin is build on the assumtion that the legend is in the bottom right cornor of the page and not wider than the folded format. Currently only works on the first page of a layout. BACKLOG: Better documentation about how to fold a printed layout. Option to choose corner of legend. Other languages, multiple pages and automatic paper size/thickness adjustments.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sanderhartveld/placefoldingmarks/]]></homepage>
        <file_name>PlaceFoldingMarks.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Sander Hartveld]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PlaceFoldingMarks/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[sanderhartveld]]></uploaded_by>
        <create_date>2025-09-03T15:32:40.145668+00:00</create_date>
        <update_date>2025-09-03T15:32:42.800150+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sanderhartveld/placefoldingmarks/issues]]></tracker>
        <repository><![CDATA[https://github.com/sanderhartveld/placefoldingmarks/]]></repository>
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        <server>False</server>
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        <icon>/media/packages/2025/icon_TxKqFuQ.png</icon>
        <author_name><![CDATA[Robert Pfeffer]]></author_name>
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        <repository><![CDATA[https://github.com/RobertPfeffer/LineDisplacement]]></repository>
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        <about><![CDATA[Digitizing tool for QGIS that allows users to choose between hole creation or inner feature creation, with snapping support and editing safeguards.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_8x4WtMR.png</icon>
        <author_name><![CDATA[Seyi Ajibare]]></author_name>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/oseyiajibare/Hole_inner]]></repository>
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        <server>False</server>
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        <about><![CDATA[conversion tool for QGIS that allow users convert coordinates]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_g7fasby.svg</icon>
        <author_name><![CDATA[Seyi Ajibare]]></author_name>
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        <uploaded_by><![CDATA[skillz001]]></uploaded_by>
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        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/oseyiajibare/UTM_Converter]]></repository>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Plugin para obtenção dos dados disponíveis no portal GeoMaringá de forma rápida e eficiente.  (Este é um produto não oficial)]]></description>
        <about><![CDATA[Plugin para obtenção dos dados disponíveis no portal GeoMaringá de forma rápida e eficiente.  (Este é um produto não oficial)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AndreZanco88/Plugin_Geomaringa]]></homepage>
        <file_name>geo_maringa.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_YfmIu1n.png</icon>
        <author_name><![CDATA[Andre Zanco]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo_maringa/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[andrezanco88]]></uploaded_by>
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        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/AndreZanco88/Plugin_Geomaringa]]></repository>
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        <server>False</server>
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        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_B6v41rr.png</icon>
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        <tracker><![CDATA[https://github.com/oseyiajibare/QuickCoordPro/issues]]></tracker>
        <repository><![CDATA[https://github.com/oseyiajibare/QuickCoordPro]]></repository>
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        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Comprehensive QGIS plugin for importing Australian mining drill hole and assay data with advanced filtering, large dataset optimization, and enhanced theme-aware UI]]></description>
        <about><![CDATA[The ND Data Importer provides seamless access to Australia&#x27;s comprehensive mining database. Import drill hole collar, survey, and assay data directly into QGIS with state-wise filtering, company search, chemical element analysis, and optimized handling of large datasets (1M+ records). Features include automatic OpenStreetMap base layer integration, chunked processing for performance, real-time progress tracking, and user-friendly tabbed interface. Perfect for geologists, mining engineers, and researchers requiring spatial analysis of Australian mining data.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/NeedleDigital/platform-qgis-plugin]]></homepage>
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        <icon>/media/packages/2025/icon_tYXPvF6.png</icon>
        <author_name><![CDATA[Needle Digital]]></author_name>
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        <uploaded_by><![CDATA[needle11]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NeedleDigital/platform-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/NeedleDigital/platform-qgis-plugin]]></repository>
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        <server>False</server>
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        <about><![CDATA[show real-time measurements in map canvas.]]></about>
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        <author_name><![CDATA[wsk170]]></author_name>
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        <repository><![CDATA[https://github.com/wsk170/meter]]></repository>
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        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[Plugin pour convertir les coordonnées : DD → DMS et éventuellement reprojeter vers un SCR cible.
Auteur : OUEDRAOGO SALAM — Email : saam.odg@gmail.com — Contact : +225 0789431882]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_oSMrrz6.svg</icon>
        <author_name><![CDATA[OUEDRAOGO SALAM]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/WGS_CoordConverter/version/1.2.4/download/</download_url>
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        <server>False</server>
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        <trusted>False</trusted>
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        <icon>/media/packages/2025/main_VVc28sr.ico</icon>
        <author_name><![CDATA[Kacper Kolbusz]]></author_name>
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        <downloads>1517</downloads>
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        <server>False</server>
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        <about><![CDATA[To avoid performance issues and recursion errors, the plugin limits the number of categories: maximum 50 unique categories for the selected attribute.]]></about>
        <trusted>False</trusted>
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        <author_name><![CDATA[Jean-Christophe Baudin]]></author_name>
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        <tags><![CDATA[vector,polygons,treemap]]></tags>
        <downloads>578</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <trusted>False</trusted>
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        <icon>/media/packages/2026/logo_OvpqqIW.png</icon>
        <author_name><![CDATA[Gonzalo Cabezas]]></author_name>
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        <tags><![CDATA[export,biodiversity,data,datos,geodatabase,biodiversidad,exportación,sib colombia,dwc]]></tags>
        <downloads>468</downloads>
        <average_vote>4.999444506165982</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Potentiel photovoltaïque des toitures]]></description>
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        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
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        <icon>/media/packages/2025/qsunpotential_final.svg</icon>
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        <tags><![CDATA[craig,photovoltaique,solaire]]></tags>
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        <average_vote>4.998750312421894</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[本插件使用高德地图在线服务，提供导航、POI查询、行政区查询等功能。]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>4.99.0</qgis_maximum_version>
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        <icon>/media/packages/2026/icon_MtEWzcE.png</icon>
        <author_name><![CDATA[phoenix-gis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/amap_extension/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[phoenixgis]]></uploaded_by>
        <create_date>2025-09-10T03:03:47.729590+00:00</create_date>
        <update_date>2026-04-02T01:54:33.604561+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://www.phoenix-gis.cn/d/224-qgischa-jian-shi-yong-wen-ti-hui-zong]]></tracker>
        <repository><![CDATA[https://github.com/robert6757/qgis-amap-extension]]></repository>
        <tags><![CDATA[search,poi,basemap,navigation]]></tags>
        <downloads>5294</downloads>
        <average_vote>4.8663422438504105</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Runoff Model Builder" version="1.0" plugin_id="4196">
        <description><![CDATA[Builds RORB and URBS control vector from a catchment.]]></description>
        <about><![CDATA[Runoff Model Builder: Builds RORB and URBS control vector from a catchment that has been delineated as shapefiles.

Requires the Pyromb&gt;=0.3 library to be installed to the QGIS environment, please refer to the homepage for instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/norman-tom/runoff-model]]></homepage>
        <file_name>runoff_model.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_Raeub1U.png</icon>
        <author_name><![CDATA[Tom Norman]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/runoff_model/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[normantom]]></uploaded_by>
        <create_date>2025-09-10T04:19:07.297414+00:00</create_date>
        <update_date>2025-09-10T04:19:10.209421+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/norman-tom/pyromb/issues]]></tracker>
        <repository><![CDATA[https://github.com/norman-tom/runoff-model]]></repository>
        <tags><![CDATA[hydrology,runoff,stormwater,wbnm,rorb,urbs]]></tags>
        <downloads>986</downloads>
        <average_vote>3.6660556573904346</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Data Loader" version="1.0.0" plugin_id="4197">
        <description><![CDATA[Professional data transfer tool for QGIS with smart field mapping, PostGIS support, and comprehensive logging]]></description>
        <about><![CDATA[The Data Loader plugin provides a professional-grade solution for transferring features between vector layers in QGIS. It features intelligent field mapping with automatic type compatibility checking, comprehensive input validation, detailed progress logging with color-coded messages, and robust error handling with transaction rollback capabilities. The plugin includes full PostGIS support for enterprise databases, works with all QGIS-supported vector formats (Shapefile, GeoPackage, KML, WFS, etc.), and provides an enhanced user interface with detailed tooltips, contextual help, and a comprehensive guide panel. Perfect for data migration, layer consolidation, PostGIS data management, and feature transfer operations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rawangis/gistools]]></homepage>
        <file_name>data_loader.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_JIQaEJ1.png</icon>
        <author_name><![CDATA[Rawan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/data_loader/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[rawangis]]></uploaded_by>
        <create_date>2025-09-10T07:37:07.248487+00:00</create_date>
        <update_date>2025-09-10T07:37:09.085641+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rawangis/gistools/issues]]></tracker>
        <repository><![CDATA[https://github.com/rawangis/gistools]]></repository>
        <tags><![CDATA[postgis,database,postgresql,data migration,field mapping,data processing,data transfer,vector layers,feature transfer,spatial database,layer tools]]></tags>
        <downloads>1237</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="XYNavigation" version="1.1" plugin_id="4199">
        <description><![CDATA[Navigate to specific coordinates and add point markers with support for multiple coordinate reference systems]]></description>
        <about><![CDATA[A user-friendly QGIS plugin that allows you to navigate to specific X,Y coordinates and optionally add point markers. Features include support for WGS84 (EPSG:4326) and Web Mercator (EPSG:3857) coordinate systems, coordinate history tracking, layer-based CRS selection, and an intuitive interface designed for ease of use. Perfect for field work, data validation, and quick navigation to known coordinates.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rawangis/gotoxy-qgis-plugin]]></homepage>
        <file_name>XYNavigation.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_ajXwMH9.png</icon>
        <author_name><![CDATA[rawan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/XYNavigation/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[rawangis]]></uploaded_by>
        <create_date>2025-09-10T11:32:58.399366+00:00</create_date>
        <update_date>2025-09-10T11:33:00.860424+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rawangis/gotoxy-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/rawangis/gotoxy-qgis-plugin]]></repository>
        <tags><![CDATA[gps,coordinates,location,mapping,navigation,utilities,goto,xy]]></tags>
        <downloads>3489</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RSWaterQualityMapper" version="1.1" plugin_id="4200">
        <description><![CDATA[Water Quality Ensemble Model]]></description>
        <about><![CDATA[Provide a brief description of the plugin and its purpose.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pkushb/RS-WaterQuality-Mapper]]></homepage>
        <file_name>RSWaterQualityMapper.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_TkDFFo5.png</icon>
        <author_name><![CDATA[Haibin Su]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RSWaterQualityMapper/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[suhaibin]]></uploaded_by>
        <create_date>2025-09-10T12:37:08.707571+00:00</create_date>
        <update_date>2026-01-30T04:35:46.741847+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/pkushb/RS-WaterQuality-Mapper]]></tracker>
        <repository><![CDATA[https://github.com/pkushb/RS-WaterQuality-Mapper]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>764</downloads>
        <average_vote>2.9992501874531365</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ordered files copy" version="0.1" plugin_id="4202">
        <description><![CDATA[Средство копирования файлов по ссылкам в атрибутах слоя | Tool for copying files by links in layer attributes]]></description>
        <about><![CDATA[Этот инструмент копирует файлы, ссылки на которые содержатся в атрибутах объектов слоя, с возможностью иерархичной группировки файлов в соответствии с другими атрибутами объектов слоя. Допустимо использование в отношении объектов слоя, для которых последовательно через разделитель указаны пути для нескольких файлов (без дополнительных знаков выделения, например кавычек). Инструмент имеет графический интерфейс выбора поля атрибутов, содержащего ссылку; интерфейс ввода используемого разделителя, а также интерфейс выбора типа копирования файлов: с иерархичной группировкой или без таковой. В случае группировки активизируется интерфейс создания иерархичной структуры путем выбора полей атрибутов слоя с учетом последовательности их перечисления.| This tool copies files referenced in layer object attributes, with the option to group files hierarchically according to other layer object attributes. It can be used for layer objects for which paths to multiple files are specified sequentially using a separator (without additional delimiters, such as quotation marks). The tool has a graphical interface for selecting the attribute field containing the link, an interface for entering the separator used, and an interface for selecting the type of file copying: with or without hierarchical grouping. In the case of grouping, the interface for creating a hierarchical structure is activated by selecting layer attribute fields, taking into account the sequence in which they are listed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pavel-u-i/Ordered-Files-Copy]]></homepage>
        <file_name>Ordered_files_copy.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_bBQnABh.png</icon>
        <author_name><![CDATA[Utchev Pavel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Ordered_files_copy/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[pavel0ui]]></uploaded_by>
        <create_date>2025-09-10T20:12:17.365579+00:00</create_date>
        <update_date>2025-09-10T20:12:19.242936+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pavel-u-i/Ordered-Files-Copy/issues]]></tracker>
        <repository><![CDATA[https://github.com/pavel-u-i/Ordered-Files-Copy]]></repository>
        <tags><![CDATA[copy,save,files]]></tags>
        <downloads>206</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GISPHNプラグイン - 割合計算" version="0.1.3" plugin_id="4204">
        <description><![CDATA[分母1つ・分子複数から各種分率を計算し、一時レイヤとして出力するProcessingプラグイン。]]></description>
        <about><![CDATA[分母フィールド1つと複数の分子フィールドから、100分率/1,000分率/10,000分率/100,000分率を計算し、一時レイヤとして出力します。四捨五入の小数桁数を指定できます。UIは日本語で、処理ツールボックス上では「GISPHNプラグイン → GISPHN計算 → 割合計算（複数分子）」として表示されます。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GISPHN/qgis-wariai-plugin]]></homepage>
        <file_name>PercentRatesGISPHN_fixed_license.0.1.3.zip</file_name>
        <icon>/media/packages/2025/icon_9o5qstF.png</icon>
        <author_name><![CDATA[GISPHN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PercentRatesGISPHN_fixed_license/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[gisphn]]></uploaded_by>
        <create_date>2025-09-12T06:50:48.755572+00:00</create_date>
        <update_date>2025-09-12T06:50:53.036476+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GISPHN/qgis-wariai-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GISPHN/qgis-wariai-plugin]]></repository>
        <tags><![CDATA[processing,japan,公衆衛生,人口,分率,割合]]></tags>
        <downloads>217</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="e-Statメッシュ一括インポート" version="1.0.1" plugin_id="4205">
        <description><![CDATA[e-Statの地域メッシュ統計をZIPのまま一括インポート。秘匿合算を自動処理し、統合メッシュを作成。オプションで行政区域と交差するメッシュのみ抽出可能。]]></description>
        <about><![CDATA[e-Statからダウンロードした地域メッシュ統計のZIPをフォルダ単位で一括処理し、秘匿合算済みの統合メッシュを自動生成するQGISプラグインです。メッシュは1km/500m/250mに対応し、行政区域との交差抽出も可能です。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GISPHN/qgis-estat-mesh-import]]></homepage>
        <file_name>estat_mesh_import.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_G25x9zq.png</icon>
        <author_name><![CDATA[Ryo Horiike (堀池 諒), GISPHN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/estat_mesh_import/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[gisphn]]></uploaded_by>
        <create_date>2025-09-12T07:16:34.789089+00:00</create_date>
        <update_date>2026-03-14T03:00:44.752144+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GISPHN/qgis-estat-mesh-import/issues]]></tracker>
        <repository><![CDATA[https://github.com/GISPHN/qgis-estat-mesh-import]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>540</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Measures of Compactness" version="0.1.0" plugin_id="4208">
        <description><![CDATA[This plugin adds various functions expression to measure the degree of compactness of a geometry(ies) (Polsby–Popper, Reock, Skew, etc...)]]></description>
        <about><![CDATA[This plugin adds some common ways to measure the compactness through function expressions

These functions are particularly useful to detect gerrymandering, evaluate the regularity of a parcel, lot, etc...

For an introduction on geometry and compactness, see the wonderful `Math for the people` course &lt;a href=&quot;https://web.stevenson.edu/mbranson/m4tp/version1/gerrymandering-math-topic-compactness.html&quot;&gt;https://web.stevenson.edu/mbranson/m4tp/version1/gerrymandering-math-topic-compactness.html&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://valentinbuira.github.io/plugin_measures_of_compactness/]]></homepage>
        <file_name>measures_of_compactness.0.1.0.zip</file_name>
        <icon>/media/packages/2025/default_icon_NpnF2Nb.png</icon>
        <author_name><![CDATA[Valentin Buira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/measures_of_compactness/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[valentinb]]></uploaded_by>
        <create_date>2025-09-12T20:45:37.711749+00:00</create_date>
        <update_date>2025-09-12T20:45:39.563265+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ValentinBuira/plugin_measures_of_compactness/issues]]></tracker>
        <repository><![CDATA[https://github.com/ValentinBuira/plugin_measures_of_compactness/]]></repository>
        <tags><![CDATA[geometry,expression,districting,redistricting,democracy,gerrymandering,field-calculator,compactness,fucktrump]]></tags>
        <downloads>531</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Precision Zones" version="2.2.0" plugin_id="4209">
        <description><![CDATA[Create management zones from rasters using PCA and K-Means with Elbow and Silhouette metrics, plus resampling, variance-reduction analysis, optional zone smoothing (Mode Filter), and rich CSV/PNG exports.]]></description>
        <about><![CDATA[Features:
- Resampling &amp; raster value extraction inside a boundary.
- PCA with explained variance table (incl. Eigenvalue λ) and CSV export.
- K-Means clustering with Elbow curve and Silhouette score; export indices; generate zones as a raster.
- Optional zone smoothing (Mode Filter): SAGA Majority/Minority.
- Variance Reduction analysis from zones and external points CSV; per-zone statistics and boxplots (PNG).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Derleimelo/Precision-Zones-Plugin]]></homepage>
        <file_name>precision_zones.2.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_jyav7xm.png</icon>
        <author_name><![CDATA[Derlei Melo, Isabella Cunha, Lucas Amaral (FEAGRI - UNICAMP)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/precision_zones/version/2.2.0/download/</download_url>
        <uploaded_by><![CDATA[derleimelo]]></uploaded_by>
        <create_date>2025-09-13T10:21:11.850451+00:00</create_date>
        <update_date>2026-01-27T15:10:53.876876+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Derleimelo/Precision-Zones-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Derleimelo/Precision-Zones-Plugin]]></repository>
        <tags><![CDATA[precision agriculture,k-means,resampling,PCA,SAGA,management zones,variance reduction,raste,elbow,silhouette]]></tags>
        <downloads>4518</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AutoOD &amp; AgentSim from WorldPop" version="1.1.0" plugin_id="4210">
        <description><![CDATA[AutoOD &amp; AgentSim from WorldPop is a QGIS plugin that automatically builds Origin–Destination (OD) matrices and simulates individual trips (agents) using WorldPop population data and optional POI-based destination attractiveness.
Key features include:
1. Zone grid creation from boundary with WorldPop population aggregation.
2. Gravity-based OD matrix with exponential or power distance decay.
3. Optional gravity constraints: unconstrained, origin-constrained, destination-constrained, and doubly constrained (IPF/Furness).
4. Destination attractiveness modelling using population and POI intensity.
5. Agent-based trip sampling with optional animated GIF and static trail visualization.
6. Post-processing including generation/attraction analysis, main route extraction, and DBSCAN clustering.]]></description>
        <about><![CDATA[This plugin bridges population data and mobility simulation for urban and regional planning. It enables planners and researchers to model spatial interaction, explore trip generation and attraction patterns, identify dominant mobility corridors, and communicate results through OD lines, clusters, static maps, and animated GIFs.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/AutoOD-AgentSim-WorldPop]]></homepage>
        <file_name>auto_od_agentsim_worldpop.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_c0MS8vf.png</icon>
        <author_name><![CDATA[Firman Afrianto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/auto_od_agentsim_worldpop/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2025-09-15T06:21:03.339382+00:00</create_date>
        <update_date>2026-02-02T00:38:04.163229+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/AutoOD-AgentSim-WorldPop/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/AutoOD-AgentSim-WorldPop]]></repository>
        <tags><![CDATA[transport,urban planning,worldpop,gravity model,mobility analysis,agent-based simulation,origin-destination]]></tags>
        <downloads>1300</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FloodMapTools" version="1.2" plugin_id="4211">
        <description><![CDATA[Construire les zones inondables]]></description>
        <about><![CDATA[Permet, à partir des données brutes de modélisation, de tracer la zone inondable la plus finement ajustée à la topographie tout en gardant un contour simple et adapté aux incertitudes]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/elCreator/floodmaptools]]></homepage>
        <file_name>FloodMapTools.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_TMtrNJD.png</icon>
        <author_name><![CDATA[Martin Garber &amp; Eric Lefevre (DDT-67)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FloodMapTools/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[ericlefevre]]></uploaded_by>
        <create_date>2025-09-15T10:11:17.739966+00:00</create_date>
        <update_date>2025-11-03T07:16:56.654410+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/elCreator/floodmaptools/-/incidents]]></tracker>
        <repository><![CDATA[https://gitlab.com/elCreator/floodmaptools.git]]></repository>
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        <about><![CDATA[Mosaic Builder allows you to copy features from other layers and quickly recreate a single merged outline. It also allows you to keep the selected features as individual polygons with the source style (well colour and opacity). This allows you to mosaic together features from different source layers into a single dataset.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Dorset-Council-UK/QGIS.Mosaic.Builder]]></homepage>
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        <icon>/media/packages/2026/icon_7p9reTK.svg</icon>
        <author_name><![CDATA[Dorset Council]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mosaic_builder/version/1.0.5/download/</download_url>
        <uploaded_by><![CDATA[robquincey]]></uploaded_by>
        <create_date>2025-09-17T09:16:07.287648+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Dorset-Council-UK/QGIS.Mosaic.Builder/issues]]></tracker>
        <repository><![CDATA[https://github.com/Dorset-Council-UK/QGIS.Mosaic.Builder]]></repository>
        <tags><![CDATA[vector,feature,python,polygon,feature extraction]]></tags>
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        <server>False</server>
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        <description><![CDATA[MDI-DE metadata search module]]></description>
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        <trusted>False</trusted>
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        <icon>/media/packages/2025/mdi-de_logo_transparent.png</icon>
        <author_name><![CDATA[terrestris GmbH &amp; Co KG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mdi_de_metadatasearch/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[hendrikaueplangis]]></uploaded_by>
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        <description><![CDATA[Selection choice]]></description>
        <about><![CDATA[This plugin add a layer choice to the selection tool when selecting on the canvas]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
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        <author_name><![CDATA[Clément Zitouni, Eurométropole de Strasbourg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/selectionchoice/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cazitouni]]></uploaded_by>
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        <deprecated>False</deprecated>
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        <description><![CDATA[Inspect, filter and manage custom properties of QGIS project layers]]></description>
        <about><![CDATA[Custom Props is a QGIS plugin that lets you view, filter, add, update and remove custom properties (key–value pairs) associated with project layers. It provides dynamic search, per-layer filtering, type detection, JSON validation, confirmation dialogs for changes, and automatic refresh when layers are modified. A lightweight but powerful tool for debugging, data analysis and plugin development.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.eagleprojects.it/]]></homepage>
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        <icon>/media/packages/2025/icon_QrFULCu.svg</icon>
        <author_name><![CDATA[GIS Team Eagleprojects S.p.A. [Lorenzo Alunni, Marco Peppucci]]]></author_name>
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        <server>False</server>
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        <about><![CDATA[QWC2 Plugin for publishing to AcuGIS Cloud]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon></icon>
        <author_name><![CDATA[AcuGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qwc2_qgis_plugin/version/3.1.3/download/</download_url>
        <uploaded_by><![CDATA[cited]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AcuGIS/qwc2_qgis_plugin/issues]]></tracker>
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        <tags><![CDATA[project,qgis-web-client]]></tags>
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    </pyqgis_plugin><pyqgis_plugin name="CartoCultures_ML_GEE" version="2.0.3" plugin_id="4220">
        <description><![CDATA[Plugin professionnel de cartographie des cultures avec Machine Learning et Google Earth Engine - Développé au Pôle Digital Agriculture]]></description>
        <about><![CDATA[Plugin QGIS professionnel développé au Pôle Digital de l&#x27;Agriculture pour la cartographie automatisée des cultures agricoles.

PIPELINE COMPLET DE CARTOGRAPHIE :
🛰️ 1. Acquisition d&#x27;Images Satellites (Google Earth Engine)
📊 2. Préparation des Données d&#x27;Entraînement
🤖 3. Entraînement de Modèles ML (Random Forest, SVM, XGBoost, Decision Tree)
🗺️ 4. Classification et Cartographie Automatique
🔧 5. Correction Topologique Avancée

FONCTIONNALITÉS AVANCÉES :
• Intégration complète Google Earth Engine
• 4 algorithmes de Machine Learning optimisés
• Interface graphique professionnelle
• Correction topologique intelligente
• Génération automatique de cartes thématiques
• Validation croisée et métriques de performance
• Export multi-formats (Shapefile, GeoTIFF, PNG)
• Documentation complète et aide contextuelle]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <author_name><![CDATA[Hiba Aamnous - Pôle Digital de l&#x27;Agriculture, de la Forêt et Observatoire de la Sécheresse]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QgisCropMapper/version/2.0.3/download/</download_url>
        <uploaded_by><![CDATA[hiba]]></uploaded_by>
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        <tags><![CDATA[classification,agriculture,machine learning,google earth engine,télédétection,cultures,cartographie,topologie]]></tags>
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    </pyqgis_plugin><pyqgis_plugin name="satellite_derived_bathymetry_for_qgis" version="2.1" plugin_id="4223">
        <description><![CDATA[A comprehensive and automated toolkit for Satellite-Derived Bathymetry (SDB) using machine learning, featuring integrated ICESat-2 data retrieval.

This plugin is deprecated and no longer maintained. Please use &quot;Bathymetrix-AI&quot; instead]]></description>
        <about><![CDATA[&lt;h3&gt;SDB Master Workflow&lt;/h3&gt;
&lt;p&gt;The SDB Master Workflow is a powerful QGIS tool that automates Satellite-Derived Bathymetry (SDB) processing. It combines preprocessing, algorithm testing, objective ranking of models, and automated reporting. The tool is designed for scientific research and hydrography, following IHO recommendations.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;New Feature: ICESat-2 Integration&lt;/b&gt;&lt;br&gt;
The toolkit now includes a dedicated module to download and filter ICESat-2 photon data (ATL03/ATL24) via the SlideRule API. This allows users to easily obtain high-precision bathymetry control points for model training and validation.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Workflow Stages:&lt;/b&gt;&lt;br&gt;
1. &lt;b&gt;Data Retrieval:&lt;/b&gt; Automated download of ICESat-2 bathymetry (SlideRule).&lt;br&gt;
2. &lt;b&gt;Pre-processing:&lt;/b&gt; Smart water masking (MNDWI/NDWI) and morphological cleaning.&lt;br&gt;
3. &lt;b&gt;Model Training:&lt;/b&gt; Algorithm comparison with hyperparameter tuning (Bayesian Optimization).&lt;br&gt;
4. &lt;b&gt;Refinement:&lt;/b&gt; Optional median filtering to reduce noise.&lt;br&gt;
5. &lt;b&gt;Evaluation:&lt;/b&gt; Statistical scoring (70% R², 30% RMSE) and reporting.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;References:&lt;/b&gt;&lt;br&gt;
- IHO Publication B-13: Cookbook for Satellite-Derived Bathymetry (&lt;a href=&quot;https://iho.int/&quot;&gt;IHO website&lt;/a&gt;)&lt;br&gt;
- Stumpf et al. (2003). Band Ratio Model in Limnology and Oceanography.&lt;br&gt;
- SlideRule Earth: Processing of ICESat-2 data (&lt;a href=&quot;https://slideruleearth.io/&quot;&gt;slideruleearth.io&lt;/a&gt;)&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Acknowledgements:&lt;/b&gt;&lt;br&gt;
Development leveraged AI-assisted tools: Google Gemini Pro &amp; OpenAI ChatGPT for workflow optimization and SlideRule integration.&lt;/p&gt;]]></about>
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        <server>False</server>
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        <trusted>False</trusted>
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        <author_name><![CDATA[Aman Bagrecha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BrushSelectionTool/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[amanbagrecha]]></uploaded_by>
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        <downloads>815</downloads>
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        <rating_votes>5</rating_votes>
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        <server>False</server>
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        <description><![CDATA[&quot;LandTalk.AI - Your Landscape Talks With You using AI: Analyze map areas using Google Gemini or ChatGPT multimodal AI.]]></description>
        <about><![CDATA[This plugin allows users to select an area of the map, capture it as an image, and analyze it using Google Gemini or ChatGPT. Tested on Windows and Linux only, no Mac sorry.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/juergenlandauer/LandTalk.AI]]></homepage>
        <file_name>LandTalkAI.1.2.4.zip</file_name>
        <icon>/media/packages/2025/LT.AI.png</icon>
        <author_name><![CDATA[Juergen Landauer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LandTalkAI/version/1.2.4/download/</download_url>
        <uploaded_by><![CDATA[aiengineer1]]></uploaded_by>
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        <about><![CDATA[Convenient connection to several of Lantmäteriet&#x27;s services]]></about>
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        <uploaded_by><![CDATA[02jandal]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/qgissverige/lantmateriet-qgis-plugin/issues/]]></tracker>
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        <tags><![CDATA[locator,stac]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Generate layer legends and export them as SVG, PNG, and JPEG.]]></description>
        <about><![CDATA[This QGIS plugin helps to quickly generate legends from one click!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.evocity.top/QuickLegned/]]></homepage>
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        <icon>/media/packages/2025/icon_o8oJrNN.png</icon>
        <author_name><![CDATA[khanwoo, Sen Wang, An Yan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickLegend/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[khanwoo2025]]></uploaded_by>
        <create_date>2025-09-23T09:25:46.523536+00:00</create_date>
        <update_date>2025-10-13T04:44:49.911965+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/senwang2016/QuickLegend/issues]]></tracker>
        <repository><![CDATA[https://github.com/senwang2016/QuickLegend]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2017</downloads>
        <average_vote>3.856591915440651</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TrailScan" version="0.1.2" plugin_id="4230">
        <description><![CDATA[Deep learning-based segmentation of skid trails from airborne LiDAR data]]></description>
        <about><![CDATA[TrailScan is a QGIS plugin for automatic mapping of skid trails from Airborne Laser Scanning (ALS) data in forest environments. Input: ALS point clouds (.las / .laz) from aircraft, helicopters, or UAVs. Workflow: 1. Preprocessing – Convert the point cloud into a normalized multi-band raster (DTM, CHM, MRM, VDI). 2. Inference – Apply the pretrained TrailScan deep learning model to generate a probability map (&quot;Trailmap&quot;). The trained TrailScan model is available at https://doi.org/10.25625/GEIP6T. Output: A georeferenced raster (&quot;Trailmap&quot; with values 0–1) indicating the likelihood of skid trail presence, ready for further GIS analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.38.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin]]></homepage>
        <file_name>TrailScan.0.1.2.zip</file_name>
        <icon>/media/packages/2025/TrailScan_Logo_HegxE6X.png</icon>
        <author_name><![CDATA[HAWK Forest Monitoring Lab (Tanja Kempen, Mathias Gröbe, Maximilian Freudenberg, Paul Magdon)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TrailScan/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[hawkgislab]]></uploaded_by>
        <create_date>2025-09-24T12:30:10.826051+00:00</create_date>
        <update_date>2025-10-09T18:06:14.812275+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin]]></repository>
        <tags><![CDATA[lidar,point cloud,forestry,als,deep learning,skid trails]]></tags>
        <downloads>942</downloads>
        <average_vote>4.624710955565277</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="brdrQ" version="0.20.1" plugin_id="4235">
        <description><![CDATA[brdrQ, a QGIS-plugin for aligning thematic borders to reference borders, using the brdr-library.]]></description>
        <about><![CDATA[brdrQ is a QGIS-plugin that assists in aligning geometric boundaries to reference boundaries. This is an important task in geographic data management to enhance data quality. In the context of geographic data management, it is important to have accurate and consistent boundaries for a variety of applications such as calculating areas, analyzing spatial relationships, and visualizing and querying geographic information. When creating geographic data, it is often more efficient to derive boundaries from existing reference data rather than collecting new data in the field. brdrQ can be used to align boundaries from new data to reference data, ensuring that the boundaries are accurate and consistent. brdrQ uses brdr-python-library for these calculations. The plugin can be used for all regions with a projected CRS (units:meter), but there are some extra functionalities to support the on-the-fly download of reference-data for Flanders (GRB). (The plugin is tested for Windows. Usage for Linux and Mac might work but is not tested)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OnroerendErfgoed/brdrQ/tree/main/docs]]></homepage>
        <file_name>brdrq.0.20.1.zip</file_name>
        <icon>/media/packages/2026/icon_base_large.png</icon>
        <author_name><![CDATA[Karel Dieussaert]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/brdrq/version/0.20.1/download/</download_url>
        <uploaded_by><![CDATA[dieuska]]></uploaded_by>
        <create_date>2025-09-26T09:41:53.542078+00:00</create_date>
        <update_date>2026-04-01T16:02:41.072139+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OnroerendErfgoed/brdrQ/issues]]></tracker>
        <repository><![CDATA[https://github.com/OnroerendErfgoed/brdrQ]]></repository>
        <tags><![CDATA[python,reference,algorithm,matching,dataquality,alignment,geodatamanagement]]></tags>
        <downloads>1328</downloads>
        <average_vote>4.804243386013348</average_vote>
        <rating_votes>46</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ISTools" version="1.5.0" plugin_id="4237">
        <description><![CDATA[Solução de geoinformação completa para QGIS: Vetorização, PostGIS e ETL EDGV 3.0. / Complete Geoinformation suite for QGIS: Vectorization, PostGIS and EDGV 3.0 ETL.]]></description>
        <about><![CDATA[O **ISTools** evoluiu de um conjunto de ferramentas de vetorização para uma **Suíte de Geoinformação completa**. Focado em produtividade máxima, ele integra ferramentas de desenho técnico, gerenciamento de banco de dados e fluxos de processamento inteligentes.

**🛠️ Ferramentas de Vetorização / Vectorization Tools:**

**🗄️ Gerenciamento de Dados / Data Management:**
• **Gerenciador PostGIS**: Ferramentas avançadas para SQL e manutenção de banco / Advanced SQL and DB maintenance.
• **Carregar Banco Shape**: Importação em massa de arquivos SHP diretamente para o banco / Batch SHP to DB import.
• **ETL EDGV 3.0**: Pipeline especializado para conversão de dados no padrão EDGV 3.0 para PostGIS / Professional EDGV 3.0 to PostGIS ETL.

**🎯 Ideal para / Perfect for:** Cartógrafos, Analistas GIS, Topógrafos e Administradores de Banco de Dados / Cartographers, GIS analysts, surveyors, and DBAs.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.24.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://irlansouza93.github.io/istools-website/]]></homepage>
        <file_name>istools.1.5.0.zip</file_name>
        <icon>/media/packages/2026/icon_istools.png</icon>
        <author_name><![CDATA[Irlan Souza, 2° Sgt Brazilian Army]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/istools/version/1.5.0/download/</download_url>
        <uploaded_by><![CDATA[irlansouza93]]></uploaded_by>
        <create_date>2025-09-28T04:43:03.024353+00:00</create_date>
        <update_date>2026-03-30T04:14:30.865818+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/irlansouza93/istools/issues]]></tracker>
        <repository><![CDATA[https://github.com/irlansouza93/istools]]></repository>
        <tags><![CDATA[postgis,database,intersection,analysis,polygon,geometry,spatial,processing,generator,lines,gis,edgv,cartography,etl,surveying,vectorization,digitization,professional,surface,multilingual,extend,bounded,toolkit,enhanced,documentation,sphinx]]></tags>
        <downloads>1248</downloads>
        <average_vote>4.999444506165982</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TerraClimateDownloader" version="0.0.7" plugin_id="4238">
        <description><![CDATA[Download, clip, split, and resample TerraClimate climate data via OPeNDAP. Easy installation with automatic dependency setup. Supports 14 climate variables (1958-2025).]]></description>
        <about><![CDATA[Downloads TerraClimate climate data for any region. Simply select a polygon layer as your boundary, choose a climate variable, and pick either a single year or a year range. The plugin downloads only the data you need and clips it to your area of interest.

Features:
- 14 climate variables including temperature, precipitation, evapotranspiration, and more
- Data from 1958 to 2025
- Automatic dependency installation helper
- Downloads only the area you need (efficient OPeNDAP subsetting)
- Single month output or multiband rasters for full-year and multi-year downloads
- Resample any raster to match a DEM or other reference grid

First-time setup: Use Plugins menu &gt; TerraClimate Downloader &gt; Install Dependencies to automatically install required Python packages.

Icon by Fusion5085. TerraClimate dataset by Abatzoglou et al. (2018), Scientific Data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Heed725/Terraclimate_QGIS_Plugin/]]></homepage>
        <file_name>TerraClimateDownloader.0.0.7.zip</file_name>
        <icon>/media/packages/2026/icon_GIKXV4D.svg</icon>
        <author_name><![CDATA[Hemed Lungo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TerraClimateDownloader/version/0.0.7/download/</download_url>
        <uploaded_by><![CDATA[h9212]]></uploaded_by>
        <create_date>2025-09-28T11:04:08.368192+00:00</create_date>
        <update_date>2026-04-15T04:39:44.787092+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Heed725/Terraclimate_QGIS_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Heed725/Terraclimate_QGIS_Plugin/]]></repository>
        <tags><![CDATA[dem,netcdf,processing,gdal,downloader,climate,temperature,precipitation,evapotranspiration,resample,xarray,rioxarray,opendap,terraclimate]]></tags>
        <downloads>1798</downloads>
        <average_vote>3.3993201359728054</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Canopy Zoom Photos" version="0.1" plugin_id="4243">
        <description><![CDATA[This plugin helps to create an orthomosaic flight plan, identify the tallest trees on area, crete multiples flight plan to acquire zoom images from each tree selected.]]></description>
        <about><![CDATA[This plugin helps to create an orthomosaic flight plan, identify the tallest trees on area, crete multiples flight plan to acquire zoom images from each tree selected.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/HerbertLincon/canopyZoomPhotos/blob/main/README.txt]]></homepage>
        <file_name>canopyZoomPhotos.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Herbert Lincon Santos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/canopyZoomPhotos/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[herbertlincon]]></uploaded_by>
        <create_date>2025-09-30T11:50:44.355419+00:00</create_date>
        <update_date>2025-09-30T11:50:45.985343+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HerbertLincon/canopyZoomPhotos/issues]]></tracker>
        <repository><![CDATA[https://github.com/HerbertLincon/canopyZoomPhotos]]></repository>
        <tags><![CDATA[python,point,flow,photo,remote sensing,drone,delimitation,forest,dsm,canopy,dji,tree]]></tags>
        <downloads>545</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layouts Extents" version="0.1" plugin_id="4246">
        <description><![CDATA[Saves the extents of all the maps from all the layouts inside a temporary layer.]]></description>
        <about><![CDATA[This plugin saves the extents of all the maps from all the layouts inside a temporary layer in the project CRS. Cette extension sauvegarde l&#x27;étendue de chaque carte présente dans toutes les mises en page dans une couche temporaire dans le SCR du projet.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/v4nadium/layout_extents]]></homepage>
        <file_name>layouts_extents.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_OTVnT5S.png</icon>
        <author_name><![CDATA[Baptiste PARIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layouts_extents/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[v4nadium]]></uploaded_by>
        <create_date>2025-10-01T09:38:30.601297+00:00</create_date>
        <update_date>2025-10-01T09:38:33.383135+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/v4nadium/layout_extents/issues]]></tracker>
        <repository><![CDATA[https://github.com/v4nadium/layout_extents/]]></repository>
        <tags><![CDATA[python,extent,layout,temporary layer]]></tags>
        <downloads>472</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIRéférentiels" version="v1.3.6" plugin_id="4254">
        <description><![CDATA[QGIRepositories is a QGIS plugin that provides access to the Géo-IDE Distribution and Géoplatforme repositories.]]></description>
        <about><![CDATA[QGIRepositories is a QGIS plugin that provides access to the Géo-IDE Distribution and Géoplatforme repositories.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.44.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab-forge.din.developpement-durable.gouv.fr/pub/geomatique/qgis-plugins/qgireferentiels/-/blob/main/README.md]]></homepage>
        <file_name>qgireferentiels.v1.3.6.zip</file_name>
        <icon>/media/packages/2025/qgireferentiels_Hhi123u.png</icon>
        <author_name><![CDATA[D. LECLERC (MTES.SNUM.MSP.DS.GSG.PMIRG Site de Rouen)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgireferentiels/version/v1.3.6/download/</download_url>
        <uploaded_by><![CDATA[dnumign2025qgis]]></uploaded_by>
        <create_date>2025-10-03T06:33:43.317402+00:00</create_date>
        <update_date>2025-10-13T14:07:05.655723+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab-forge.din.developpement-durable.gouv.fr/pub/geomatique/qgis-plugins/qgireferentiels/issues]]></tracker>
        <repository><![CDATA[https://gitlab-forge.din.developpement-durable.gouv.fr/pub/geomatique/qgis-plugins/qgireferentiels]]></repository>
        <tags><![CDATA[géoplateforme,geoplateforme,entrepôt,géoide]]></tags>
        <downloads>2671</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Slope Generator" version="0.3" plugin_id="4255">
        <description><![CDATA[Plugin for generate dynamic slope hatching]]></description>
        <about><![CDATA[This plugin generates slope hachures via QGIS Geometry Generator. Non-destructive styling.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/santerr80/slope_generator]]></homepage>
        <file_name>slope_generator.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_gxjPFKf.png</icon>
        <author_name><![CDATA[santerr80]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/slope_generator/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[santerr1980]]></uploaded_by>
        <create_date>2025-10-04T03:31:44.329142+00:00</create_date>
        <update_date>2025-10-14T11:12:59.914763+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/santerr80/slope_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/santerr80/slope_generator.git]]></repository>
        <tags><![CDATA[python,layer,style]]></tags>
        <downloads>817</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="istat_confini_plugin" version="1.3.0" plugin_id="4256">
        <description><![CDATA[Plugin per scaricare confini amministrativi ISTAT e griglia di popolazione 2021 su standard europeo]]></description>
        <about><![CDATA[Questo plugin permette di scaricare direttamente i confini amministrativi italiani
dal sito ISTAT e la griglia di popolazione 2021 su standard europeo (Eurostat).
Supporta regioni, province, comuni e ripartizioni geografiche sia in versione generalizzata
che non generalizzata. Include anche la griglia di popolazione del Censimento 2021
con 13 variabili censuarie secondo il Regolamento UE 1799/2018.
I dati sono disponibili dal 2022 al 2026 e vengono scaricati direttamente dai server ISTAT.
EN:This plugin allows direct download of Italian administrative boundaries from the ISTAT website
and the 2021 population grid on European standard (Eurostat).
It supports regions, provinces, municipalities and geographical divisions in both generalized
and non-generalized versions. It also includes the 2021 Census population grid
with 13 census variables according to EU Regulation 1799/2018.
Data is available from 2022 to 2026 and downloaded directly from ISTAT servers.

Funzionalità principali:
- Download automatico dei file ZIP da ISTAT
- Selezione tra 4 tipi di confini amministrativi
- Griglia di popolazione 2021 (celle 1 km², EPSG:3035)
- Download multipli simultanei (confini + griglia)
- Opzione per versione generalizzata o dettagliata
- Interfaccia con 3 tab organizzati
- Caricamento automatico in QGIS
- Interfaccia completamente in italiano
- Barra di progresso durante il download
- Gestione errori integrata
- Possibilità di scaricare solo griglia popolazione


Main features:
- Automatic download of ZIP files from ISTAT
- Selection between 4 types of administrative boundaries
- 2021 population grid (1 km² cells, EPSG:3035)
- Simultaneous multiple downloads (boundaries + grid)
- Option for generalized or detailed version
- Interface with 3 organized tabs
- Automatic loading in QGIS
- Fully Italian interface
- Progress bar during download
- Integrated error handling
- Option to download only population grid

Requirements: Internet connection for downloading data from ISTAT servers.
The plugin uses QGIS native network manager (QgsNetworkAccessManager) which respects
proxy settings and provides better integration with QGIS environment.
No external dependencies required - works with standard QGIS installation.
IT: Requisiti: Connessione internet per scaricare i dati dai server ISTAT.
Il plugin usa il gestore di rete nativo di QGIS (QgsNetworkAccessManager) che rispetta
le impostazioni proxy e offre migliore integrazione con l&#x27;ambiente QGIS.
Nessuna dipendenza esterna richiesta - funziona con installazione standard di QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pigreco/istat_confini_plugin]]></homepage>
        <file_name>istat_confini_plugin.1.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_IHs5hSf.png</icon>
        <author_name><![CDATA[Totò Fiandaca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/istat_confini_plugin/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[toto71]]></uploaded_by>
        <create_date>2025-10-04T16:13:40.063798+00:00</create_date>
        <update_date>2026-03-28T16:43:14.765960+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pigreco/istat_confini_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/pigreco/istat_confini_plugin]]></repository>
        <tags><![CDATA[grid,italia,population,province,italy,boundaries,cartografia,census,eurostat,comuni,regioni,demographic,istat,confini,griglia,popolazione,administrative]]></tags>
        <downloads>1385</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GIS Auditor Report" version="1.0.0" plugin_id="4261">
        <description><![CDATA[A powerful and user-friendly QA/QC plugin for validating vector data in QGIS. Configure duplicate, spatial, and exclusion-zone checks via a simple interface. Generate HTML reports, which can also be exported to PDF using your browser&#x27;s print feature. Every report includes the generation timestamp and operator name, making results traceable and auditable.]]></description>
        <about><![CDATA[GIS Auditor Report provides an interactive and systematic QA/QC workflow for vector data validation in QGIS. Configure duplicate, spatial, and exclusion-zone checks via a simple interface. Customised Generate HTML reports, which can also be exported to PDF using your browser&#x27;s print feature. Every report includes the generation timestamp and operator name, making results traceable and auditable.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/leiding06/gis-auditor-report]]></homepage>
        <file_name>gis_auditor_report.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_uIddVG5.png</icon>
        <author_name><![CDATA[Lei Ding]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gis_auditor_report/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[leiding06]]></uploaded_by>
        <create_date>2025-10-05T20:23:25.570726+00:00</create_date>
        <update_date>2025-10-05T20:23:27.958242+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/leiding06/gis-auditor-report/issues]]></tracker>
        <repository><![CDATA[https://github.com/leiding06/gis-auditor-report]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>474</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CreateSelectScrachLayer" version="1.0.0" plugin_id="4262">
        <description><![CDATA[Create a temporary scratch layer from selected features.]]></description>
        <about><![CDATA[This plugin creates a temporary memory layer containing only the selected features from the active vector layer. It preserves the geometry type, CRS, and attributes of the original layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-CreateSelectScrachLayer]]></homepage>
        <file_name>CreateSelectScrachLayer.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_YVAusYn.png</icon>
        <author_name><![CDATA[Rikuto Arita]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CreateSelectScrachLayer/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[panyoricomeha]]></uploaded_by>
        <create_date>2025-10-06T04:46:43.437197+00:00</create_date>
        <update_date>2025-10-06T04:46:46.409878+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-CreateSelectScrachLayer/issues]]></tracker>
        <repository><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-CreateSelectScrachLayer.git]]></repository>
        <tags><![CDATA[vector,selection,memory,scratch,qgis plugin,japanese]]></tags>
        <downloads>422</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Field Name Replacer" version="1.0.0" plugin_id="4264">
        <description><![CDATA[A QGIS plugin to batch rename field (attribute) names based on a CSV or text file of replacement rules.]]></description>
        <about><![CDATA[This plugin allows you to batch replace field (attribute) names of the active layer in QGIS.
You can either manually specify the old and new field names, or use a CSV/text file containing replacement rules (e.g., old,new).
It helps efficiently reorganize and standardize attribute field names.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/panyoricomeha/QGIS-Field-Name-Replacer]]></homepage>
        <file_name>FieldNameReplacer.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_Q1X2kba.png</icon>
        <author_name><![CDATA[Rikuto Arita]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FieldNameReplacer/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[panyoricomeha]]></uploaded_by>
        <create_date>2025-10-07T14:21:49.157382+00:00</create_date>
        <update_date>2025-10-07T14:21:52.146611+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/panyoricomeha/QGIS-Field-Name-Replacer]]></tracker>
        <repository><![CDATA[https://github.com/panyoricomeha/QGIS-Field-Name-Replacer]]></repository>
        <tags><![CDATA[qgis,batch processing,utility,attribute renaming,field names]]></tags>
        <downloads>672</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArcGisAttachmentsReader" version="0.2.0" plugin_id="4265">
        <description><![CDATA[Read and display ArcGIS File Geodatabase attachments directly in QGIS.]]></description>
        <about><![CDATA[Displays attachments from ArcGIS File Geodatabases using GDAL/OGR, maps relationships, shows previews.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tuananh0707]]></homepage>
        <file_name>ArcGisAttachmentsReader.0.2.0.zip</file_name>
        <icon>/media/packages/2025/Identify_WTwihsm.svg</icon>
        <author_name><![CDATA[Lê Tuấn Anh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ArcGisAttachmentsReader/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[tuananh0707]]></uploaded_by>
        <create_date>2025-10-08T11:46:16.383510+00:00</create_date>
        <update_date>2025-10-18T08:18:53.074587+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tuananh0707/ArcGIS-Attachments-Reader/issues]]></tracker>
        <repository><![CDATA[https://github.com/tuananh0707/ArcGIS-Attachments-Reader]]></repository>
        <tags><![CDATA[vector,plugin,esri,relationship,geodatabase,attachments]]></tags>
        <downloads>2580</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Blaster Vibration Control" version="1.1" plugin_id="4266">
        <description><![CDATA[Blaster Vibration Control - Simulação e análise de vibrações em desmontes com explosivos.]]></description>
        <about><![CDATA[English: 
GIS plugin for QGIS to simulate blast-induced vibrations, assist in rock blasting safety, plot PPV (Peak Particle Velocity) isolines, and calculate maximum explosive charge per hole/delay for critical distances. 

Before using, you need to install the pykrige library via the command line: 
1. Open the OSGeo 4W Shell prompt; 
2. Type “pip install pykrige”; 
3. Type “pip install --upgrade openpyxl” 

Note: To ensure proper functioning, use a Cartesian coordinate system, preferably projections such as UTM (Universal Transverse Mercator). 


Português: 
Ferramenta GIS no formato de plugin para o QGIS, capaz de simular vibrações, auxiliar na segurança de desmontes de rocha, plotar isolinhas de PPV (Velocidade Pico de Partícula) e calcular carga máxima de explosivo por furo/retardo conforme distâncias de estruturas críticas. 

Antes de usar é necessário fazer a instalação da biblioteca pykrige via linha de comando: 
1. abra o prompt OSGeo 4W Shell; 
2. digite “pip install pykrige”; 
3. digite &quot;pip install --upgrade openpyxl&quot; 

Observação: Para garantir o funcionamento adequado, utilize um sistema de coordenadas cartesianas, preferencialmente projeções como UTM (Universal Transverse Mercator).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OfficiumTech/vibration_control]]></homepage>
        <file_name>vibration_control_main.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_AHGMMTq.png</icon>
        <author_name><![CDATA[Bruno S. Mosso]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vibration_control_main/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[officium]]></uploaded_by>
        <create_date>2025-10-08T13:05:12.169545+00:00</create_date>
        <update_date>2025-11-22T13:25:26.846275+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OfficiumTech/vibration_control/issues]]></tracker>
        <repository><![CDATA[https://github.com/OfficiumTech/vibration_control]]></repository>
        <tags><![CDATA[qgis,control,mining,vibration,blaster]]></tags>
        <downloads>384</downloads>
        <average_vote>0.9990009990009991</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MOE Geoportal Loader" version="1.7.1" plugin_id="4268">
        <description><![CDATA[A plugin for loading data from MOE GeoPortal, a geospatial information portal provided by Japan&#x27;s Ministry of the Environment, directly into QGIS.]]></description>
        <about><![CDATA[This plugin allows you to directly load datasets published on MOE GeoPortal, a geospatial information portal operated by Japan&#x27;s Ministry of the Environment. It targets datasets with the type &quot;Feature Service&quot; and licensed under CC BY 4.0. Each dataset has its own processing algorithm available in the Processing Toolbox. When you select a dataset and output destination, the file and style settings are automatically saved. You can also load data as an ArcGIS Feature Service layer if needed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Geo-Jagaimo/qgis-plugin-moe-geoportal-loader]]></homepage>
        <file_name>moe_geoportal_loader.1.7.1.zip</file_name>
        <icon>/media/packages/2026/icon_K3ane8H.png</icon>
        <author_name><![CDATA[geojagaimo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/moe_geoportal_loader/version/1.7.1/download/</download_url>
        <uploaded_by><![CDATA[geojagaimo]]></uploaded_by>
        <create_date>2025-10-09T07:26:44.364444+00:00</create_date>
        <update_date>2026-03-20T07:44:01.444875+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Geo-Jagaimo/qgis-plugin-moe-geoportal-loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/Geo-Jagaimo/qgis-plugin-moe-geoportal-loader]]></repository>
        <tags><![CDATA[python,arcgis,open data]]></tags>
        <downloads>1208</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="StreetView Pro" version="2.0" plugin_id="4270">
        <description><![CDATA[Open Google Street View directly from QGIS map canvas with a hanging pegman cursor, customizable heading and direction.]]></description>
        <about><![CDATA[StreetView Pro v2.0 Plugin - Key Features:
1. Click or drag on map canvas to open Google Street View directly.
2. Drag to set viewing direction - a direction line with arrow shows the heading.
3. Hanging pegman cursor similar to Google Maps native Street View experience.
4. Pegman cursor dynamically tilts left/right based on movement direction and speed.
5. Right-click anywhere to open Street View at that location.
6. Right-click to copy coordinates (X, Y format) to clipboard.
7. Right-click to copy Street View URL to clipboard.
8. Automatically returns to selection tool after Street View opens.
9. Works with any project CRS, auto-transforms to WGS84 for Street View.
10. ESC key to cancel without opening Street View.
11. A dedicated StreetView Pro Toolbar for easy access.
12. Message bar instructions shown when tool is activated.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/md-moinul-mobin/StreetView-Pro]]></homepage>
        <file_name>StreetViewPro.2.0.zip</file_name>
        <icon>/media/packages/2026/streetviewpro.png</icon>
        <author_name><![CDATA[MD Moinul Mobin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/StreetViewPro/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[moinul95]]></uploaded_by>
        <create_date>2025-10-10T08:24:23.413887+00:00</create_date>
        <update_date>2026-02-17T11:54:14.150589+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/md-moinul-mobin/StreetView-Pro/issues]]></tracker>
        <repository><![CDATA[https://github.com/md-moinul-mobin/StreetView-Pro]]></repository>
        <tags><![CDATA[viewer,web,openstreetmap,google,coordinate,streetview,gis,panorama,maps,navigation,copystreetviewurl,streetimagery,google-streetview,earthview,360view,streetphoto,mapviewer,photoviewer,googleimagery,google-earth,openstreetview]]></tags>
        <downloads>18774</downloads>
        <average_vote>4.845781093762018</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RMCGEO" version="1.9.0" plugin_id="4274">
        <description><![CDATA[Geospatial toolkit with drawing tools (azimuth, bearing, offset, extend, chamfer), coordinate operations, and attribute table calculators.]]></description>
        <about><![CDATA[EN: RMCGEO is a comprehensive set of geospatial tools that includes: coordinate conversion, drawing by azimuth and distance, drawing by bearing and distance, offset, extend, chanfer, insertion of points by coordinates, copying coordinates and tools for manipulating attribute tables.

PT: RMCGEO é um conjunto abrangente de ferramentas geoespaciais que inclui: conversão de coordenadas, desenho por azimute e distância, desenho por rumo e distância, offset, extend, chanfer, inserção de pontos por coordenadas, cópia de coordenadas e ferramentas para manipulação de tabelas de atributos.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://rmcgeo.com.br/]]></homepage>
        <file_name>rmcgeo.1.9.0.zip</file_name>
        <icon>/media/packages/2026/icon_KTclOEH.svg</icon>
        <author_name><![CDATA[Rodolfo Martins de Carvalho]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rmcgeo/version/1.9.0/download/</download_url>
        <uploaded_by><![CDATA[rmcgeo]]></uploaded_by>
        <create_date>2025-10-10T17:06:05.436151+00:00</create_date>
        <update_date>2026-01-14T02:23:13.510354+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rodolfom9/rmcgeo/issues]]></tracker>
        <repository><![CDATA[https://github.com/rodolfom9/rmcgeo]]></repository>
        <tags><![CDATA[python,cad,distance,coordinates,memorial,azimuth,brasil,ibge,coordenadas,incra,distancia,extend,desenho,azimute,rumo,matricula,chanfer,offset,trim]]></tags>
        <downloads>1610</downloads>
        <average_vote>4.888617299038942</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Radiance2Carbon (R2C)" version="1.0.0" plugin_id="4275">
        <description><![CDATA[Radiance2Carbon (R2C) is a QGIS Processing plugin that estimates carbon emissions
from multi-temporal Nighttime Lights (NTL) rasters. The algorithm supports several empirical
conversion models (Elvidge 2009, Shi 2016, Power Law, and Custom Linear) with automatic or
manual threshold filtering to isolate significant illuminated areas.
Outputs include CSV reports (carbon estimates and NTL statistics) and PNG visualizations
(trend plots, comparison grids, and per-year distributions).]]></description>
        <about><![CDATA[This plugin provides a straightforward way to transform Nighttime Lights insights into
spatially explicit carbon emission indicators. It is suitable for urban sustainability
studies, spatial economics, and monitoring of energy-related development patterns using
satellite data such as VIIRS or DMSP-OLS.
The tool supports batch processing, CRS-safe boundary overlays, and automatic year parsing
from raster filenames.
Developed by Firman Afrianto and Adipandang Yudono.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/Radiance2Carbon]]></homepage>
        <file_name>ntl_carbon_analysis_toolbox.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_l9DciOf.png</icon>
        <author_name><![CDATA[Firman Afrianto &amp; Adipandang Yudono]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ntl_carbon_analysis_toolbox/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2025-10-11T04:48:44.334917+00:00</create_date>
        <update_date>2025-10-11T04:48:46.471950+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/Radiance2Carbon/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/Radiance2Carbon]]></repository>
        <tags><![CDATA[spatial analysis,emission,urban planning,climate,ntl,nighttime lights,power law,carbon,urban sustainability]]></tags>
        <downloads>427</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RGB Index Calculator" version="0.2" plugin_id="4276">
        <description><![CDATA[This plugin is used for calculaitng image (raster) index values based on RGB images. The index calculation formulas are based on &quot;NDVI Estimation Througout the Whole Growth Period of Multi-Crops Using RGB Images and Deep Learning&quot; publication by Wang et al. 2025.]]></description>
        <about><![CDATA[Plugin for calculating image (raster) index (various indices) based on RGB images.
Minimal data set for testing can be found in GitHub repository which is homepage of this plugin in folder: RGB_Index_Calculator-sample. In the same folder shape file is available for testing calculated raster with: NDVI to Variable Nitrogen Application Map plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></homepage>
        <file_name>rgb_index_calculator.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_2ynIke5.png</icon>
        <author_name><![CDATA[Emir Memic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rgb_index_calculator/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[memicemir]]></uploaded_by>
        <create_date>2025-10-11T09:30:12.378489+00:00</create_date>
        <update_date>2025-10-29T05:04:13.473057+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></tracker>
        <repository><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>772</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RasterStretch" version="0.1.1" plugin_id="4277">
        <description><![CDATA[This plugin visualizes raster layers using percentile-based contrast stretching (default 2–98).]]></description>
        <about><![CDATA[RasterStretch applies quick, non-destructive contrast stretching to raster layers using percentile cuts
(default 2–98) or custom values. It works with single-band gray, multiband RGB, and pseudocolor renderers,
respects source and user NoData, and can compute statistics on the full layer or the current map extent.
Built for large datasets, it uses sampling (and benefits from overviews) to stay fast, helping you turn raw imagery into clear, usable maps in seconds.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ms888ekb/plugin_factory]]></homepage>
        <file_name>rasterstretch.0.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_lbSYhUy.png</icon>
        <author_name><![CDATA[Mikhail Sokolov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rasterstretch/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[ms888]]></uploaded_by>
        <create_date>2025-10-11T20:04:25.179249+00:00</create_date>
        <update_date>2025-10-14T23:36:54.726914+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ms888ekb/plugin_factory/issues]]></tracker>
        <repository><![CDATA[https://github.com/ms888ekb/plugin_factory]]></repository>
        <tags><![CDATA[python,raster,remote sensing,contrast,histogram,qgis,imagery,visualization,percentiles,enhancement]]></tags>
        <downloads>702</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Meta Mobility Analyzer" version="1.0.1" plugin_id="4279">
        <description><![CDATA[Meta Mobility Analyzer is a QGIS Processing plugin for analyzing Meta “Data for Good” mobility datasets (Movement Distribution). It reads daily CSV files, joins them with administrative boundaries, converts distance-share categories into spatial layers, and generates rich analytical outputs including daily summaries, monthly averages, per-category charts, heatmaps, boxplots, and spatial hotspot visualizations. The plugin also supports synthetic Origin–Destination (OD) matrix generation using a calibrated gravity model consistent with Meta distance-share categories (p0, p0_10, p10_100, p100p).]]></description>
        <about><![CDATA[This plugin provides a complete workflow to process and visualize Meta mobility data for spatial planning, transport analysis, and regional mobility studies. It transforms raw distance-category shares into geospatial insights, structured visual summaries, and optional synthetic OD flows. The plugin supports three output modes: daily SHP files, monthly GeoPackage with one layer per day, and monthly GeoPackage containing only monthly_avg for a true monthly-only summary. It also reports main outputs through clickable links in the QGIS log. Developed by Firman Afrianto and Maya Safira.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/MobiVista]]></homepage>
        <file_name>mobivista_facebook_mobility2.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_otHn4fX.png</icon>
        <author_name><![CDATA[Firman Afrianto, Maya Safira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mobivista_facebook_mobility2/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2025-10-12T03:05:19.868413+00:00</create_date>
        <update_date>2026-04-08T07:30:02.717483+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/MobiVista/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/MobiVista]]></repository>
        <tags><![CDATA[spatial analysis,transportation,urban planning,mobility,gravity model,data for good,big data,meta,origin destination,movement maps]]></tags>
        <downloads>821</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Create Grid" version="1.1" plugin_id="4283">
        <description><![CDATA[Plugin to create a grid of polygons within a selected polygon layer]]></description>
        <about><![CDATA[Create Grid is a QGIS plugin that allows users to generate a grid of polygons within a selected polygon layer. Useful for spatial analysis, sampling, or dividing areas into manageable units.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sivansakthi/CreateGrid]]></homepage>
        <file_name>CreateGrid.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_3TrDsWd.png</icon>
        <author_name><![CDATA[Sivansakthi SG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CreateGrid/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[sivansakthi]]></uploaded_by>
        <create_date>2025-10-13T06:38:25.882014+00:00</create_date>
        <update_date>2025-10-23T06:07:05.324348+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sivansakthi/CreateGrid/issues]]></tracker>
        <repository><![CDATA[https://github.com/sivansakthi/CreateGrid]]></repository>
        <tags><![CDATA[polygon,grid,spatial analysis,sampling]]></tags>
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        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Paste one or many H3 indexes (comma, space, or newline-separated), draws their polygons, records resolution values, and pans/zooms the map to them.]]></description>
        <about><![CDATA[GoToH3 lets you quickly navigate to one or more Uber H3 cells by entering or pasting indexes. Each cell is rendered as a polygon in EPSG:4326 with its H3 index and resolution stored in the attribute table. The plugin automatically adds the layer to your project and zooms to the combined extent.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/carygeo/goto-h3-plugin]]></homepage>
        <file_name>goto_h3_plugin.0.3.1.zip</file_name>
        <icon>/media/packages/2025/icon_tRXtaUi.png</icon>
        <author_name><![CDATA[Cary Greenwood]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/goto_h3_plugin/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[carygeo]]></uploaded_by>
        <create_date>2025-10-13T18:08:59.630813+00:00</create_date>
        <update_date>2025-12-16T16:21:28.886154+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/carygeo/goto-h3-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/carygeo/goto-h3-plugin]]></repository>
        <tags><![CDATA[vector,navigation,debug,h3,hexagon,resolution,utilities]]></tags>
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        <rating_votes>11</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenRES: Open Riverine Ecosystem Synthesis" version="1.4.0" plugin_id="4285">
        <description><![CDATA[A QGIS plugin for automated extraction of hydrogeomorphic features to support Functional Process Zone classification of river networks.]]></description>
        <about><![CDATA[OpenRES is a QGIS plugin designed to support Riverine Ecosystem Synthesis (RES)–based analyses by enabling the systematic, reproducible delineation and characterization of Functional Process Zones (FPZs) along river networks.

RES emphasizes that river corridors are organized as hierarchically nested, longitudinally discontinuous patches whose geomorphic structure constrains hydrologic and ecological processes. In practice, however, applying RES concepts across entire river networks is often limited by labor-intensive GIS workflows, inconsistent metric definitions, and difficulty scaling analyses beyond individual reaches.

OpenRES addresses these limitations by automating the extraction of hydrogeomorphic variables that define FPZ structure for user-defined river segments (typically 5–10 km). Core tools quantify elevation (ELE), precipitation (PRE), geology (GEO), valley width (VW), valley floor width (VFW), the valley width–to–valley floor width ratio (RAT), valley side slopes (LVS, RVS, MVS), down-valley slope (DVS), channel sinuosity (SIN), channel belt width (CBW), and channel belt sinuosity (LCS, RCS, CBS). OpenRES also includes geomorphology utility tools to generate essential input layers such as valley floor polygons, microsheds, valley boundaries, and channel belts.

The metrics produced can be evaluated individually or integrated using hierarchical, unsupervised classification approaches to delineate FPZs — repeatable hydrogeomorphic patches that organize physical habitat templates and ecological processes along river corridors. By enabling network-scale, standardized FPZ characterization, OpenRES facilitates comparative analyses, cross-system synthesis, and management applications grounded in RES theory]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jollygoodjacob/OpenRES]]></homepage>
        <file_name>OpenRES.1.4.0.zip</file_name>
        <icon>/media/packages/2026/icon_2gsBB0x.png</icon>
        <author_name><![CDATA[Jacob Nesslage]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OpenRES/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[jollygoodjacob]]></uploaded_by>
        <create_date>2025-10-13T20:39:37.929719+00:00</create_date>
        <update_date>2026-03-30T22:14:55.386573+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jollygoodjacob/OpenRES/issues]]></tracker>
        <repository><![CDATA[https://github.com/jollygoodjacob/OpenRES]]></repository>
        <tags><![CDATA[ecology,geomorphology,hydrology,river,watershed,fpz,openres]]></tags>
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        <average_vote>4.749406324209474</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LayoutZoomPlugin" version="1.0" plugin_id="4286">
        <description><![CDATA[A powerful QGIS plugin for creating and editing map layouts with specific scale and position.]]></description>
        <about><![CDATA[A QGIS plugin providing tools to create new layouts from templates and edit existing layouts by modifying map item scales and positions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MostafaShiyari/LayoutZoomPlugin]]></homepage>
        <file_name>LayoutZoomPlugin.1.0.zip</file_name>
        <icon>/media/packages/2025/LayoutZoomPlugin.svg</icon>
        <author_name><![CDATA[Mostafa Shiyari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LayoutZoomPlugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mostafashiyari]]></uploaded_by>
        <create_date>2025-10-14T06:20:42.314563+00:00</create_date>
        <update_date>2025-10-14T06:20:46.214035+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MostafaShiyari/LayoutZoomPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MostafaShiyari/LayoutZoomPlugin]]></repository>
        <tags><![CDATA[editing,map,template,scale,qgis,layout]]></tags>
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        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TfC Tools" version="2.0" plugin_id="4287">
        <description><![CDATA[A suite of tools by Transport for Cairo (TfC)]]></description>
        <about><![CDATA[TfC Tools is a QGIS plugin suite developed by Transport for Cairo (TfC) to streamline and standardise transport data processing workflows.
The suite provides user-friendly interfaces for common analytical tasks used in TfC’s research and transport data management projects.
TfC Tools currently includes several tools organised into two groups:
1. RouteLab Tools: tools that migrate field survey data from TfC’s RouteLab database into standardised tables, either in GeoPackage format or in a PostGIS Spatial Data Infrastructure (SDI).
a. Export RouteLab to GeoPackage
b. Export SDI (PostGIS) to GeoPackage
c. RL2SDI (RouteLab to SDI Migration)
2. GIS Tools: tools for transport network analysis, GTFS generation, and transport metrics.
a. GIS2GTFS – converts GIS data into GTFS.
b. Refresh SDI derived layers – after manual GIS edits
c. Trip and Route Revenue Estimator
d. Vehicle and Passenger Flow Estimator
User Guide (PDF): https://github.com/transportforcairo/tfc_tools/blob/main/tfc_tools_user_guide.pdf]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://transportforcairo.com]]></homepage>
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        <icon>/media/packages/2026/TfC-tools-icon.png</icon>
        <author_name><![CDATA[Transport for Cairo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tfc_tools/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[transportforcairo]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/transportforcairo/tfc_tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/transportforcairo/tfc_tools]]></repository>
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        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
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        <server>False</server>
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        <description><![CDATA[A QGIS plugin for quantitative precipitation forecasting using deep learning models. This plugin utilizes radar data to predict rainfall patterns up to 180 minutes ahead with three different model options: standard Keras model, TFLite optimized model, and ensemble TFLite models. Developed based on the Korean Institute of Civil Engineering and Building Technology (KICT) rainfall prediction system.]]></description>
        <about><![CDATA[Provide a brief description of the plugin and its purpose.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.hermesys.co.kr]]></homepage>
        <file_name>kict_rain_ai.v0.1.zip</file_name>
        <icon>/media/packages/2025/icon_4q4imHS.png</icon>
        <author_name><![CDATA[KICT, HermeSys]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kict_rain_ai/version/v0.1/download/</download_url>
        <uploaded_by><![CDATA[sukmin28]]></uploaded_by>
        <create_date>2025-10-15T00:18:11.089857+00:00</create_date>
        <update_date>2025-10-15T00:18:13.805483+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hermesys2017/KICT_RAIN_KERAS/issues]]></tracker>
        <repository><![CDATA[https://github.com/hermesys2017/KICT_RAIN_KERAS]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>251</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Power EZiUDP" version="2.0.0" plugin_id="4294">
        <description><![CDATA[[PL] Wtyczka pozwala na proste, szybkie przeszukiwanie i podpinanie usług WMS/WFS z ewidencji zbiorów i uług danych przestrzennych. [EN] Plugin allow for simple, fast search and add WMS/WFS services from polish site: &quot;ewidencja zbiorów i usług danych przestrzennych&quot;]]></description>
        <about><![CDATA[[PL] Wtyczka zapewnia dostęp do EZiUDP prosto z poziomu UI QGIS [EN] Plugin provide access to EZiUDP straight from QGIS UI]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Rzezimioszek]]></homepage>
        <file_name>Power_EZiUDP.2.0.0.zip</file_name>
        <icon>/media/packages/2026/icon1_07xhA8g.png</icon>
        <author_name><![CDATA[Łukasz Świątek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Power_EZiUDP/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[rzezimioszek]]></uploaded_by>
        <create_date>2025-10-16T10:45:35.931047+00:00</create_date>
        <update_date>2026-03-15T19:49:52.019534+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rzezimioszek/QGIS-power-EZiUDP/issues]]></tracker>
        <repository><![CDATA[https://github.com/Rzezimioszek/QGIS-power-EZiUDP]]></repository>
        <tags><![CDATA[python,wfs,wms,ewidencja,eziudp,usługi przetrzenne,zbiory]]></tags>
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        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AGS Tools" version="0.1.2" plugin_id="4295">
        <description><![CDATA[This plugin provides tools for working with files in the AGS4 format.]]></description>
        <about><![CDATA[This plugin parses an AGS4 file and creates a geopackage or SQlite database from it. AGS4 files can be validated using the British Geological Survey AGSAPI. Results/data returned by the API are subject to the API’s terms (Open Government Licence v3.0). Internet connection required.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Ojaybee/ags-tools#readme]]></homepage>
        <file_name>ags_tools.0.1.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Oliver Burdekin (burdGIS) and Richard Meredith (GeoEnvironmental)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ags_tools/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[burdgis]]></uploaded_by>
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        <repository><![CDATA[https://github.com/Ojaybee/ags-tools]]></repository>
        <tags><![CDATA[processing,validation,geopackage,engineering,ags4,geotechnical]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[QA DJI RTK photo sets: plots RPT route quality, styles photos by RTK RMSE, and flags abnormal windows.]]></description>
        <about><![CDATA[Reads DJI .RPT/.MRK/.XMP directly to visualize Terra-like route quality (Excellent/Good/Poor), per-photo RMSE, and RTK status. ExifTool is required for full features.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Bdabest7/DJI-RTK-QA]]></homepage>
        <file_name>DJI_RTK_QA.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_5dUIGvC.png</icon>
        <author_name><![CDATA[Brenton Roesner]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DJI_RTK_QA/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[simplifly]]></uploaded_by>
        <create_date>2025-10-17T17:10:59.197745+00:00</create_date>
        <update_date>2025-10-17T17:11:01.424046+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Bdabest7/DJI-RTK-QA/issues]]></tracker>
        <repository><![CDATA[https://github.com/Bdabest7/DJI-RTK-QA]]></repository>
        <tags><![CDATA[exif,photogrammetry,dji,quality,rtk]]></tags>
        <downloads>822</downloads>
        <average_vote>3.9986671109630123</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LER2 Validering" version="0.2.1" plugin_id="4301">
        <description><![CDATA[Nem adgang til LER2 validering]]></description>
        <about><![CDATA[En plugin, der sammen med en konto hos ler2validering.dk giver mulighed for at validere attributter ift. LER2&#x27;s krav direkte i qGIS]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2026/icon_d3VjfFB.png</icon>
        <author_name><![CDATA[qLER ApS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ler2validering/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[mortenpoulsen]]></uploaded_by>
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        <update_date>2026-03-13T21:46:53.570053+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qleraps/ler2valideringplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qleraps/ler2valideringplugin]]></repository>
        <tags><![CDATA[ler2,ler,validering]]></tags>
        <downloads>450</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="THW Toolbox" version="2.0" plugin_id="4302">
        <description><![CDATA[QGIS plugin designed for THW (Technisches Hilfswerk) operations and civil protection missions. Provides easy addition and management of tactical symbols on maps with drag &amp; drop placement of SVG symbols for THW, Bundeswehr, fire departments, police and other organizations. Features intelligent sizing and feature management. Intended for use in civil protection and disaster response operations only.]]></description>
        <about><![CDATA[Comprehensive QGIS plugin for tactical mapping with over 1000 SVG symbols for various emergency response organizations. Features: Drag &amp; Drop symbol placement, intelligent sizing, feature identification, symbol repositioning, dynamic labeling and persistent storage in GeoPackage format. Designed specifically for THW operations and civil protection missions.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/thw-minden/qgis-thw-toolbox-plugin]]></homepage>
        <file_name>qgisthwplugin.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_Z35eTwt.svg</icon>
        <author_name><![CDATA[THW Minden]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisthwplugin/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[thwminden]]></uploaded_by>
        <create_date>2025-10-20T14:42:29.519264+00:00</create_date>
        <update_date>2026-04-14T17:19:51.044756+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/thw-minden/qgis-thw-toolbox-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/thw-minden/qgis-thw-toolbox-plugin]]></repository>
        <tags><![CDATA[svg,taktische zeichen,kartierung,katastrophenschutz,polizei,symbole,einsatzplanung,rettungswesen,thw,feuerwehr]]></tags>
        <downloads>1243</downloads>
        <average_vote>4.624421947256593</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ribasim" version="2026.1.0" plugin_id="4303">
        <description><![CDATA[QGIS plugin to inspect Ribasim models]]></description>
        <about><![CDATA[QGIS plugin to inspect Ribasim models. Requires `pandas` to be installed in the QGIS Python environment.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
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        <icon>/media/packages/2026/icon_yoX8YSM.png</icon>
        <author_name><![CDATA[Deltares]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ribasim_qgis/version/2026.1.0/download/</download_url>
        <uploaded_by><![CDATA[visr]]></uploaded_by>
        <create_date>2025-10-20T14:59:02.118828+00:00</create_date>
        <update_date>2026-03-31T18:24:28.688639+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Deltares/Ribasim/issues]]></tracker>
        <repository><![CDATA[https://github.com/Deltares/Ribasim]]></repository>
        <tags><![CDATA[water,hydrology,model,julia,water resources]]></tags>
        <downloads>425</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EasyPath" version="0.1" plugin_id="4304">
        <description><![CDATA[Urban Accessibility Analysis for QGIS]]></description>
        <about><![CDATA[GIS-based digital decision support protocol for local authorities for technological and environmental solutions on the accessibility of urban facilities in Mediterranean areas]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SavinoGiacobbe/EasyPath]]></homepage>
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        <icon>/media/packages/2025/icon_KqqtH5P.png</icon>
        <author_name><![CDATA[Valente R., Mozingo L.A., Giacobbe S., Maienza M.B., Bosco R.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easypath/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[savinogiacobbe]]></uploaded_by>
        <create_date>2025-10-20T19:49:07.728818+00:00</create_date>
        <update_date>2025-10-20T19:49:09.805875+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SavinoGiacobbe/EasyPath/issues]]></tracker>
        <repository><![CDATA[https://github.com/SavinoGiacobbe/EasyPath]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>339</downloads>
        <average_vote>4.665889018496917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Parking Space Potential" version="2.1" plugin_id="4305">
        <description><![CDATA[A combination of QGIS Tools to analyze the location and capacity of public parking garages and helps to identify street side parking which could be shifted into them.]]></description>
        <about><![CDATA[*TEST*This plugin analyzes the location and capacity of public parking garages and helps to identify street side parking which could be shifted into them. There are three necessary input layers: A layer containing the parking garages [point], a layer containing street side parking [polygon] and a network of walkable links [lines]. As a result, two output layers are generated. One contains all the shiftable street side parking including where they can be shifted to and the distance. The other one contains all selected parking garages including the number of street side parking shiftable into them and their new utilization rates.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.gwdg.de/l.jalyschko/parking_spaces]]></homepage>
        <file_name>parking_spaces.2.1.zip</file_name>
        <icon>/media/packages/2025/icon-parking-garage.png</icon>
        <author_name><![CDATA[Lisa-Marie Jalyschko]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/parking_spaces/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[jalyschko]]></uploaded_by>
        <create_date>2025-10-21T19:33:28.957968+00:00</create_date>
        <update_date>2025-10-21T19:33:31.185856+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.gwdg.de/l.jalyschko/parking_spaces/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.gwdg.de/l.jalyschko/parking_spaces]]></repository>
        <tags><![CDATA[python,traffic,urban,shift,garages,parking,cars]]></tags>
        <downloads>342</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TopTijdReis2QGIS" version="0.3.1" plugin_id="4306">
        <description><![CDATA[Plugin om gemakelijk door kaartlagen van topotijdreis te navigeren en deze op te halen in qgis.]]></description>
        <about><![CDATA[Deze pluging bestaat uit een slider widget waarmee je gemakelijk door de lagen van topotijdreis navigeerd en deze ophaald in QGIS. Met de &#x27;vergelijk&#x27; functie word een tweede canvas aangemaakt waarop een topografische kaart van een ander jaar kan worden weergegeven. Alle overige projectlagen worden hierbij zowel op het tweede als het hoofdcanvas weergegeven.
- zowel de topografiesche kaarten als de luchtfoto&#x27;s zijn beschikbaar]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Eschip98/TopoTijdReis2Qgis/wiki/Online-handleiding-voor-TopoTijdreis2QGIS]]></homepage>
        <file_name>TopoTijdReis2Qgis.0.3.1.zip</file_name>
        <icon>/media/packages/2026/icon_Prito72.png</icon>
        <author_name><![CDATA[Eric Schippers]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TopoTijdReis2Qgis/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[eschip98]]></uploaded_by>
        <create_date>2025-10-22T20:39:40.526983+00:00</create_date>
        <update_date>2026-01-16T13:36:08.683089+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Eschip98/TopoTijdReis2Qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/Eschip98/TopoTijdReis2Qgis]]></repository>
        <tags><![CDATA[nederland,topotijdreis]]></tags>
        <downloads>1049</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PMTiles" version="0.2.0" plugin_id="4307">
        <description><![CDATA[QGIS plugin to generate PMTiles.]]></description>
        <about><![CDATA[GDAL can&#x27;t handle raster PMTiles as of yet (last checked 23/10/2025).

As a consequence QGIS does not have support for reading or writing raster PMTile files.

This plugin is an interim solution to convert MBTiles file into PMTiles, using the official Python package.

This plugin uses QPIP for dependency management. The `pmtiles` Python package will be automatically installed when the plugin is loaded.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hotosm/qgis-pmtiles]]></homepage>
        <file_name>PMTiles.0.2.0.zip</file_name>
        <icon>/media/packages/2025/pmtiles.png</icon>
        <author_name><![CDATA[Sam Woodcock]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PMTiles/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[spwoodcock]]></uploaded_by>
        <create_date>2025-10-23T19:00:24.938955+00:00</create_date>
        <update_date>2025-11-20T08:36:39.881171+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hotosm/qgis-pmtiles]]></tracker>
        <repository><![CDATA[https://github.com/hotosm/qgis-pmtiles]]></repository>
        <tags><![CDATA[mbtiles,basemap,imagery,pmtiles,hotosm]]></tags>
        <downloads>714</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Soil Grids Downloader" version="0.1" plugin_id="4308">
        <description><![CDATA[Download and visualize global soil property data directly from the SoilGrids REST API.]]></description>
        <about><![CDATA[The SoilGrids Data Downloader is a QGIS plugin that allows users to easily download high-resolution global soil property datasets (such as organic carbon, pH, bulk density, and soil texture) from the SoilGrids REST API and integrate them directly into QGIS for analysis and mapping.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/iliasmachairas/SoilGrids_Downloader]]></homepage>
        <file_name>SoilGrids_Downloader.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Ilias Machairas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SoilGrids_Downloader/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[iliasmachairas]]></uploaded_by>
        <create_date>2025-10-23T20:31:08.003651+00:00</create_date>
        <update_date>2025-10-23T20:31:10.202930+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/iliasmachairas/SoilGrids_Downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/iliasmachairas/SoilGrids_Downloader]]></repository>
        <tags><![CDATA[raster,web,soil,downloader,qgis,api,environment,soilgrids]]></tags>
        <downloads>1548</downloads>
        <average_vote>4.832527912014664</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HYDA" version="1.1" plugin_id="4309">
        <description><![CDATA[HYDA]]></description>
        <about><![CDATA[HYDA (Hydrological Delimitation Assistant) is designed to assist in the delineation of hydrological boundaries from vector contour datasets]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/EduardoAQGIS/HYDA]]></homepage>
        <file_name>hyda.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_oHIBKjF.png</icon>
        <author_name><![CDATA[Eduardo A]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hyda/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[eduardoa]]></uploaded_by>
        <create_date>2025-10-24T01:45:45.996256+00:00</create_date>
        <update_date>2025-11-11T21:28:19.984022+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EduardoAQGIS/HYDA/issues]]></tracker>
        <repository><![CDATA[https://github.com/EduardoAQGIS/HYDA]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>372</downloads>
        <average_vote>1.4992503748125938</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Enhanced Trend Surface Analysis" version="1.0.0" plugin_id="4310">
        <description><![CDATA[Advanced polynomial trend surface analysis with comprehensive diagnostics and visualization tools]]></description>
        <about><![CDATA[This plugin provides enhanced polynomial trend surface analysis using least squares regression with robust statistics, cross-validation, and comprehensive diagnostics.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geosaber.github.io/TrendSurfaceAnalysis]]></homepage>
        <file_name>EnhancedTrendSurface.1.0.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Sidney Schaberle Goveia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/EnhancedTrendSurface/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[sidneysg]]></uploaded_by>
        <create_date>2025-10-24T14:56:50.043387+00:00</create_date>
        <update_date>2025-10-24T14:56:53.145545+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geosaber/TrendSurfaceAnalysis/issues]]></tracker>
        <repository><![CDATA[https://github.com/geosaber/TrendSurfaceAnalysis]]></repository>
        <tags><![CDATA[analysis,statistics,spatial,regression,surface,trend]]></tags>
        <downloads>619</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Attribute Copier" version="1.0.3" plugin_id="4311">
        <description><![CDATA[Copy attributes from a source object to target objects (supports cross-layer copying).]]></description>
        <about><![CDATA[This plugin allows you to copy attributes from a source object and paste them into selected target objects.

NEW IN THIS VERSION:
- Supports copying attributes between TWO DIFFERENT vector layers (if field names match).
- Safer editing: Pasting activates Edit Mode. You can review changes, Undo (Ctrl+Z), and explicitly Save or Discard edits.

How to use:
1. Select a source layer and verify fields.
2. Select ONE source object and click &#x27;Copy attributes&#x27;.
3. (Optional) Switch to a different target layer.
4. Select target objects and click &#x27;Paste attributes&#x27;.
5. Save edits (Layer -&gt; Save Layer Edits) or Undo/Discard if needed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NB34911/Attribute-Copier-plugin-for-QGIS]]></homepage>
        <file_name>AttributeCopier3.1.0.3.zip</file_name>
        <icon>/media/packages/2026/icon_Vdfyi0w.svg</icon>
        <author_name><![CDATA[Natalia Budzińska]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AttributeCopier3/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[nataliabudzinska]]></uploaded_by>
        <create_date>2025-10-24T21:19:57.937499+00:00</create_date>
        <update_date>2026-01-20T19:58:03.741161+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NB34911/Attribute-Copier-plugin-for-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/NB34911/Attribute-Copier-plugin-for-QGIS]]></repository>
        <tags><![CDATA[vector,fields,edit,copy,attributes]]></tags>
        <downloads>1716</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="riverbank_erosion_accretion_v2" version="0.2" plugin_id="4317">
        <description><![CDATA[RiverBank Erosion and Accretion Analyzer v2 quantifies riverbank dynamics using multi-temporal spatial data, offering automated workflows for erosion and accretion mapping.]]></description>
        <about><![CDATA[RiverBank Erosion and Accretion Analyzer v2 provides advanced analysis of riverbank dynamics with improved computational efficiency, projection handling, and user-defined parameters for river morphology assessment and sustainable management.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/roysrija/RiverBankErosionAccretionV2/]]></homepage>
        <file_name>riverbank_erosion_accretion_v2.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_szu0e6y.png</icon>
        <author_name><![CDATA[Srija Roy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/riverbank_erosion_accretion_v2/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[srijaroy555]]></uploaded_by>
        <create_date>2025-10-28T14:55:35.821133+00:00</create_date>
        <update_date>2025-10-28T14:55:38.083050+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/roysrija/RiverBankErosionAccretionV2/issues/]]></tracker>
        <repository><![CDATA[https://github.com/roysrija/RiverBankErosionAccretionV2/]]></repository>
        <tags><![CDATA[analysis,geomorphology,remote sensing,plugin,river,qgis,erosion,accretion]]></tags>
        <downloads>436</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SwipeMaster" version="1.0" plugin_id="4319">
        <description><![CDATA[A powerful QGIS plugin for layer comparison using swipe tool with customizable direction, line style, and layer opacity.]]></description>
        <about><![CDATA[A QGIS plugin providing interactive layer swiping with multiple directions, customizable line styles, and adjustable layer opacity in hidden areas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MostafaShiyari/SwipeMaster]]></homepage>
        <file_name>SwipeMaster.1.0.zip</file_name>
        <icon>/media/packages/2025/swipemaster_cvhKsu2.png</icon>
        <author_name><![CDATA[Mostafa Shiyari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SwipeMaster/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mostafashiyari]]></uploaded_by>
        <create_date>2025-10-29T05:27:44.283731+00:00</create_date>
        <update_date>2025-10-29T05:27:47.423119+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MostafaShiyari/SwipeMaster/issues]]></tracker>
        <repository><![CDATA[https://github.com/MostafaShiyari/SwipeMaster]]></repository>
        <tags><![CDATA[layer,direction,qgis,swipe,compare,opacity]]></tags>
        <downloads>1048</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AreaLimiter" version="0.1" plugin_id="4320">
        <description><![CDATA[Keeps polygons within a target area]]></description>
        <about><![CDATA[This plugin allows users to digitize new polygons or edit existing polygon vertices while maintaining a specified target area. Features include real-time area calculation, unit conversion (m² and hectares), and vertex manipulation with area constraints.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Jessie42/arealimiter]]></homepage>
        <file_name>arealimiter.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_yLuPcS7.png</icon>
        <author_name><![CDATA[Jessie Lindsay]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arealimiter/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jess42]]></uploaded_by>
        <create_date>2025-10-29T06:57:05.708987+00:00</create_date>
        <update_date>2025-10-29T06:57:07.864556+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Jessie42/arealimiter/issues]]></tracker>
        <repository><![CDATA[https://github.com/Jessie42/arealimiter]]></repository>
        <tags><![CDATA[vector,editing,polygon,digitizing,area,constraint]]></tags>
        <downloads>1015</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kolba" version="1.4" plugin_id="4321">
        <description><![CDATA[Plugin for quick script launch]]></description>
        <about><![CDATA[A plugin designed to launch up-to-date versions of custom tools.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pavelpereverzev/kolba]]></homepage>
        <file_name>kolba.1.4.zip</file_name>
        <icon>/media/packages/2026/icon_56xi1WJ.png</icon>
        <author_name><![CDATA[Pavel Pereverzev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kolba/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[kylsha]]></uploaded_by>
        <create_date>2025-10-29T08:10:38.751814+00:00</create_date>
        <update_date>2026-01-11T11:44:11.798450+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pavelpereverzev/kolba/issues]]></tracker>
        <repository><![CDATA[https://github.com/pavelpereverzev/kolba]]></repository>
        <tags><![CDATA[python,scripts,development]]></tags>
        <downloads>1046</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Chinese AI Assistant" version="0.4" plugin_id="4322">
        <description><![CDATA[This plugin deeply integrates an LLM with the Phoenix-GIS knowledge base, providing you with professional GIS querying and QGIS operational guidance.]]></description>
        <about><![CDATA[This plugin deeply integrates an LLM with the Phoenix-GIS knowledge base, providing you with professional GIS querying and QGIS operational guidance.本插件深度融合大语言模型与凤凰地理社区知识库，为您提供专业的GIS知识查询与QGIS操作指引。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/robert6757/chinese-ai-assistant]]></homepage>
        <file_name>chinese_ai_assistant.0.4.zip</file_name>
        <icon>/media/packages/2026/icon_F0yJ31P.png</icon>
        <author_name><![CDATA[phoenix-gis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/chinese_ai_assistant/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[phoenixgis]]></uploaded_by>
        <create_date>2025-10-29T15:13:04.952790+00:00</create_date>
        <update_date>2026-01-08T01:17:46.009542+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://www.phoenix-gis.cn/d/224-qgischa-jian-shi-yong-wen-ti-hui-zong]]></tracker>
        <repository><![CDATA[https://github.com/robert6757/chinese-ai-assistant]]></repository>
        <tags><![CDATA[china,ai,assistant,chinese]]></tags>
        <downloads>1051</downloads>
        <average_vote>4.4439506721475395</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoBasis_Loader" version="2.0.0" plugin_id="4323">
        <description><![CDATA[Einfaches Finden und Einfügen ausgewählter freier Geodienste // Easy finding and insertion of selected free geoservices]]></description>
        <about><![CDATA[(10.03.2026)&lt;/br&gt;Das Plugin vereinfacht das Finden und Einfügen ausgewählter WMS-, WMTS-, WFS-, WCS-, und VectorTiles-Dienste aus den Open Data Portalen der Landesvermessungsämter sowie von Hintergrundkarten (OSM, Basemap.de) zum aktuellen View. Ziel ist es, eine deutschlandweite Sammlung der GeoBasisdaten mit aktuellen Links anzubieten. Mehr Informationen zum GeoBasis_Loader inkl. Status, Versionshistorie und FAQs auf https://geobasisloader.de/ zu finden.&lt;/br&gt;&lt;/br&gt;Hinweis:&lt;/br&gt;Die Verfügbarkeit, die Symbolisierung der Inhalte sowie die Sichtbarkeit nach Maßstäben hängen ausschließlich vom Datenanbieter ab. Es gelten die vom Anbieter beschriebenen Nutzungsbedingungen. Bei einigen Themen wird die Sichtbarkeit nach Maßstäben zusätzlich über das Plugin eingestellt und kann bei Bedarf mit QGIS-Bordmitteln geändert werden. Die vom Diensteanbieter festgelegten Maßstabsgrenzen sind davon unbetroffen. &lt;/br&gt;Die in diesem Plugin genutzten Links (URLs) auf die Dienste der Anbieter werden mit größtmöglicher Sorgfalt recherchiert und implementiert. Fehler im Bearbeitungsvorgang sind dennoch nicht auszuschließen. Hinweise und Korrekturen senden Sie bitte an news@geoobserver.de?subject=GeoBasis_Loader_Input&lt;/br&gt;Eine Haftung für die Verfügbarkeit, Richtigkeit, Vollständigkeit und Aktualität dieser Links kann trotz sorgfältiger Prüfung nicht übernommen werden. Das gilt auch für eventuelle Schäden oder Konsequenzen, die durch die direkte oder indirekte Nutzung der angebotenen Inhalte entstehen.&lt;/br&gt;&lt;/br&gt;--------------------------------------&lt;/br&gt;The plugin makes it easier to find and insert selected WMS-, WMTS-, WFS-, WCS-, and VectorTiles services from the open data portals of the state surveying offices and background maps (OSM, Basemap.de) for the current view. The aim is to provide a Germany-wide collection of geodata with up-to-date links. More information about GeoBasis_Loader incl. status, version history and FAQs on https://geobasisloader.de/&lt;/br&gt;&lt;/br&gt;Note:&lt;/br&gt;The availability, the symbolisation of the content and the visibility according to standards depend exclusively on the data provider. The terms of use described by the provider apply. For some themes, the visibility by scale is also set via the plugin and can be changed using QGIS on-board resources if required. The scale limits set by the service provider are not affected by this.&lt;/br&gt;The links (URLs) to the providers&#x27; services used in this plugin are researched and implemented with the greatest possible care. However, errors in the editing process cannot be ruled out. Please send any comments and corrections to news@geoobserver.de?subject=GeoBasis_Loader_Input&lt;/br&gt;Despite careful checking, no liability can be accepted for the availability, accuracy, completeness and topicality of these links. This also applies to any damage or consequences arising from the direct or indirect use of the content provided.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geobasisloader.de/]]></homepage>
        <file_name>GeoBasis_Loader.2.0.0.zip</file_name>
        <icon>/media/packages/2026/GeoBasis_Loader_icon.png</icon>
        <author_name><![CDATA[Anton May, Mike Elstermann (#geoObserver)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoBasis_Loader/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[geoobserver]]></uploaded_by>
        <create_date>2025-10-30T06:38:16.660244+00:00</create_date>
        <update_date>2026-03-11T08:41:24.447498+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoObserver/geobasis_loader/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geoObserver/geobasis_loader/]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>46293</downloads>
        <average_vote>4.851038026393477</average_vote>
        <rating_votes>188</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PostGIS Connection Tester" version="1.0.0" plugin_id="4324">
        <description><![CDATA[Tool to test PostGIS connections configured in QGIS, including authentication vault support.]]></description>
        <about><![CDATA[Allows you to select an existing PostGIS connection, view its parameters, and test the connection and an SQL query.
If the username and password were saved in clear text and not in the vault, an alert will be displayed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fthvd/postgis_connexion_tester]]></homepage>
        <file_name>postgis_connection_tester.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_6Iv1mT8.svg</icon>
        <author_name><![CDATA[François THEVAND]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/postgis_connection_tester/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[fthvd]]></uploaded_by>
        <create_date>2025-10-30T10:39:54.422727+00:00</create_date>
        <update_date>2025-10-30T10:39:56.510010+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fthvd/postgis_connexion_tester/issues]]></tracker>
        <repository><![CDATA[https://github.com/fthvd/postgis_connexion_tester]]></repository>
        <tags><![CDATA[postgis,sql,database,qgis,connection,authcfg]]></tags>
        <downloads>1265</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UmeMap layer management" version="0.9+20260317" plugin_id="4325">
        <description><![CDATA[UmeMap layer management is a plugin which helps with styles for vector layers that come from a UmeMap server and form management]]></description>
        <about><![CDATA[UmeMap layer management is a plugin which helps with styles for vector layers that come from a UmeMap server and form management]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/UmeMap/UmeMap-Qgis-plugin]]></homepage>
        <file_name>UmeMap.0.9+20260317.zip</file_name>
        <icon>/media/packages/2026/icon_vfitaUp.png</icon>
        <author_name><![CDATA[UmeMap]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/UmeMap/version/0.9+20260317/download/</download_url>
        <uploaded_by><![CDATA[umemap]]></uploaded_by>
        <create_date>2025-10-30T12:24:18.047996+00:00</create_date>
        <update_date>2026-03-18T08:21:14.205355+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UmeMap/UmeMap-Qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/UmeMap/UmeMap-Qgis-plugin]]></repository>
        <tags><![CDATA[vector,style,wfs,umemap]]></tags>
        <downloads>430</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Polygon Cut" version="0.2" plugin_id="4326">
        <description><![CDATA[This plugin allows the user to perform polygon cutting, in a polygon layer, using one or more polygons from another polygon layer.]]></description>
        <about><![CDATA[Download the manual from the homepage, which contains examples on how to use this plugin. Run the plugin from Toolbox -&gt; Polygon Cut -&gt; Polygon Cut Ver. 0.2]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Almeida100/Polygon-cutting]]></homepage>
        <file_name>polygon_cut.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Antonio Sobral Almeida]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/polygon_cut/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[al150]]></uploaded_by>
        <create_date>2025-10-30T22:08:54.657374+00:00</create_date>
        <update_date>2025-10-30T22:08:56.763057+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Almeida100/Polygon-cutting/issues]]></tracker>
        <repository><![CDATA[https://github.com/Almeida100/Polygon-cutting]]></repository>
        <tags><![CDATA[python,polygon,polygon cut]]></tags>
        <downloads>707</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Fill Gaps" version="0.1" plugin_id="4327">
        <description><![CDATA[This plugin is intended to fill gaps and holes in a polygon layer.]]></description>
        <about><![CDATA[Download the manual from the homepage, which contains important information and examples. To run the plugin, go to Toolbox -&gt; Topology -&gt; Fill Gaps Ver. 0.1.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Almeida100/Fill-Gaps]]></homepage>
        <file_name>fill_gaps.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Antonio Sobral Almeida]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fill_gaps/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[al150]]></uploaded_by>
        <create_date>2025-10-31T15:34:04.257676+00:00</create_date>
        <update_date>2025-10-31T15:34:06.921649+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Almeida100/Fill-Gaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/Almeida100/Fill-Gaps]]></repository>
        <tags><![CDATA[vector,shapefile,polygon,geometry,holes,gaps]]></tags>
        <downloads>1028</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Open Geodata Browser" version="1.2.2" plugin_id="4330">
        <description><![CDATA[Browse and download satellite imagery from STAC-compliant catalogs (Planetary Computer, AWS Earth Search, custom endpoints). Part of MAS Raster Processing tools.]]></description>
        <about><![CDATA[Open Geodata Browser is a powerful QGIS plugin for accessing satellite imagery from leading STAC data providers. Seamlessly search, filter, and load Cloud-Optimized GeoTIFFs and other geospatial data directly into QGIS with advanced spatial-temporal filtering and batch download capabilities.

Go to the &quot;Home Page&quot; for more details and the Guide.

INSTALL DEPENDENCY:
======================
Plugins &gt; Python Console
Copy &amp; Paste:
from pip._internal.main import main as pip_main
pip_main([&#x27;install&#x27;, &#x27;--user&#x27;, &#x27;--upgrade&#x27;, &#x27;open-geodata-api&#x27;])
Restart QGIS

Method: Terminal or Commandline tool (Other OS)
==================================================
Open the terminal or Commandline
Go to the QGIS Binary Path (ls to find Python or PIP executable)
Run pip install open-geodata-api

QUICK START:
============
1. Open: Raster &gt; Open Geodata Browser
2. Select STAC provider
3. Search Items (Filters: Date, Cloud Cover)
4. Interactive Results:
- Sort columns by clicking headers
- Double-click item to Zoom
- Multi-select (Ctrl/Shift) to view multiple footprints
- Right-click for &quot;Hide/Show Footprint&quot;
5. Download or Load Assets directly

FEATURES:
=========
Multi-provider STAC access | Advanced spatial-temporal search | Batch download | Cloud-Optimized GeoTIFFs | Auto-load to project | Interactive map | Custom STAC endpoints

REQUIREMENTS:
=============
QGIS 3.28+ | Python 3.9+ | Internet | 20MB disk | 2GB RAM]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/open-geodata-browser/wiki]]></homepage>
        <file_name>open_geodata_browser.1.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_bq3ubjN.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/open_geodata_browser/version/1.2.2/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2025-11-01T00:25:25.236765+00:00</create_date>
        <update_date>2026-01-31T19:21:25.260171+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/open-geodata-browser/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/open-geodata-browser]]></repository>
        <tags><![CDATA[raster,geospatial,remote-sensing,satellite,imagery,stac,cog,earthsearch,planetary-computer,data-discovery]]></tags>
        <downloads>3318</downloads>
        <average_vote>4.856449078703042</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QAIS" version="1.0.1" plugin_id="4331">
        <description><![CDATA[Intelligent AIS Vessel Tracking and Visualisation]]></description>
        <about><![CDATA[Reads, decodes and displays live AIS targets on the QGIS map layout. User can target and track indivdual vessels and export all AIS messages for further analysis. This plugin is not to be used for navigational purposes. This plugin requires an external AIS receiver to operate. These can be purchased from www.wegmatt.com/index.html. Designed and built in Western Australia by Spatial Exploration.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://spatial-exploration.com/QAIS.html]]></homepage>
        <file_name>QAIS.1.0.1.zip</file_name>
        <icon>/media/packages/2025/QAIS_icon.png</icon>
        <author_name><![CDATA[Spatial Exploration]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QAIS/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[j1spatialexploration]]></uploaded_by>
        <create_date>2025-11-01T03:20:32.372966+00:00</create_date>
        <update_date>2025-11-01T03:20:34.560607+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/J1SpatialExploration/QAIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/J1SpatialExploration/QAIS]]></repository>
        <tags><![CDATA[ais,ports,qais,vessels]]></tags>
        <downloads>335</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Narzędziownik APP" version="1.1.0" plugin_id="4332">
        <description><![CDATA[Wtyczka wspomaga tworzenie i przeglądanie danych przestrzennych aktów planowania.]]></description>
        <about><![CDATA[Szczegóły funkcjonalności w dokumentacji https://akademia.geoanalityka.pl/courses/narzedziownik-app-dokumentacja/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tomasz-gietkowski-geoanalityka/narzedziownik_app]]></homepage>
        <file_name>narzedziownik_app.1.1.0.zip</file_name>
        <icon>/media/packages/2026/narzedziownik_app_AK4DB0o.svg</icon>
        <author_name><![CDATA[Tomasz Giętkowski (Geoanalityka), Grzegorz Górniak, Karol Tomczyk]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/narzedziownik_app/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[geoantg]]></uploaded_by>
        <create_date>2025-11-02T16:13:27.240568+00:00</create_date>
        <update_date>2025-11-10T18:33:10.141771+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tomasz-gietkowski-geoanalityka/narzedziownik_app/issues]]></tracker>
        <repository><![CDATA[https://github.com/tomasz-gietkowski-geoanalityka/narzedziownik_app]]></repository>
        <tags><![CDATA[app,akty planowania przestrzennego,planowanie]]></tags>
        <downloads>2056</downloads>
        <average_vote>4.570775603485216</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="knGML2GPKG" version="0.2" plugin_id="4333">
        <description><![CDATA[Convert Slovak cadastral GML files (KN Register C and E) to GeoPackage or DXF with automatic coordinate transformation and fixes]]></description>
        <about><![CDATA[This plugin converts Slovak cadastral GML files (Register C and Register E) to GeoPackage (GPKG) or DXF format. It automatically handles coordinate transformation from EPSG:4258 to EPSG:5514, fixes corrupt parcels with swapped coordinates, and applies default styling. Supports batch processing of multiple GML file pairs.

IMPORTANT: Users must first install the required coordinate transformations according to instructions at: https://www.skgeodesy.sk/files/gku/produkty-sluzby/na-stiahnutie/s-jtsk_jtsk03_v_qgis.pdf

Support creator at: https://ko-fi.com/jancabaj]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jancabaj/kngml2gpkg]]></homepage>
        <file_name>knGML2GPKG.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_BkE8Ub9.png</icon>
        <author_name><![CDATA[Jan Cabaj]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/knGML2GPKG/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[jancabaj]]></uploaded_by>
        <create_date>2025-11-02T16:24:05.542256+00:00</create_date>
        <update_date>2025-11-04T20:45:32.324458+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jancabaj/kngml2gpkg/issues]]></tracker>
        <repository><![CDATA[https://github.com/jancabaj/kngml2gpkg]]></repository>
        <tags><![CDATA[gml,dxf,cadastre,conversion,transform,gpkg,slovakia]]></tags>
        <downloads>634</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Remove Layer Shortcut" version="1.2" plugin_id="4335">
        <description><![CDATA[Provides a button next to each layer in the layers list to remove it from map canvas]]></description>
        <about><![CDATA[A very small plugin for removing layer from map canvas by adding convenient button directly in the layers panel.
This plugin is directly inspired by the &lt;a href=&#x27;https://plugins.qgis.org/plugins/attributeshortcut/&#x27;&gt;« Attribute Table Shortcut »&lt;/a&gt; plugin created by Angus McBride and uses most of its code.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.huma-num.fr/sthery/remove-layer-shortcut]]></homepage>
        <file_name>remove_layer_shortcut.1.2.zip</file_name>
        <icon>/media/packages/2026/mActionRemoveLayer.svg</icon>
        <author_name><![CDATA[Sylvain Théry - CNRS - UMR 5281 ART-Dev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/remove_layer_shortcut/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[sylther]]></uploaded_by>
        <create_date>2025-11-03T10:45:31.435430+00:00</create_date>
        <update_date>2026-03-05T18:16:52.808963+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.huma-num.fr/sthery/remove-layer-shortcut/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.huma-num.fr/sthery/remove-layer-shortcut]]></repository>
        <tags><![CDATA[remove,layers,panel,shortcut,button]]></tags>
        <downloads>531</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="XPlanung24 - XPLAN QGIS Plugin" version="1.1.0" plugin_id="4338">
        <description><![CDATA[XPLAN Viewer]]></description>
        <about><![CDATA[DEUTSCH:
Dieses Plugin ermöglicht Ihnen:
- die konforme Darstellung von Bauleit-, Flächennutzungs- sowie Raumordnungsplänen im Standard XPlanung,
- die Übersetzung und Visualisierung von Flächenangaben, Festsetzungen und textlichen Abschnitten,
- die sichere Verwaltung und den kollaborativen Zugriff auf Planunterlagen über die Plattform XPlanung24.

Was ist XPlanung24:
XPlanung24 ist eine webbasierte Plattform der Bau.Land.XPlan GbR zur zentralen Verwaltung, Darstellung und kollaborativen Bearbeitung von kommunalen Bauleit-, Flächennutzungs- und Regionalplänen im XPlanung-Format.
Die Entwicklung wird durch das Land Nordrhein-Westfalen gefördert.

Was ist XPlanung:
XPlanung ist ein bundesweiter Standard für den digitalen Austausch von Bauleit-, Flächennutzungs- und Raumordnungsplänen in Deutschland.
Er basiert auf XML/GML (XPlanGML) und stellt sicher, dass Planinformationen verlustfrei zwischen Systemen ausgetauscht werden können.


ENGLISH:
This plugin enables you to:
- Display zoning, land-use, and regional plans in compliance with the XPlanung standard,
- Translate and visualize spatial data, regulations, and textual plan elements,
- Securely manage and collaboratively access planning documents via the XPlanung24 platform.

What is XPlanung24:
XPlanung24 is a web-based platform developed by Bau.Land.XPlan GbR for the centralized management, visualization, and collaborative editing of municipal zoning, land-use, and regional plans in the XPlanung format.
The development of the platform is supported by the state of North Rhine-Westphalia.

What is XPlanung:
XPlanung is a nationwide German standard for the digital exchange of zoning, land-use, and spatial planning data.
It is based on XML/GML (XPlanGML) and ensures that planning information can be transferred between systems without loss of content or structure.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.26.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.xplanung24.de]]></homepage>
        <file_name>xplanung24.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_KaST2zV.png</icon>
        <author_name><![CDATA[Bau.Land.XPlan GbR]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xplanung24/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[xp24]]></uploaded_by>
        <create_date>2025-11-04T08:22:46.680729+00:00</create_date>
        <update_date>2026-03-04T17:50:15.056904+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Bau-Land-XPlanung/XPLANUNG24-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Bau-Land-XPlanung/XPLANUNG24-QGIS-Plugin]]></repository>
        <tags><![CDATA[gml,xplanung,bebauungsplan,bplan,xplan,fnp,flächennutzungsplan,raumordnungspläne,rp,xplanung24,xplan-gml,bp]]></tags>
        <downloads>1127</downloads>
        <average_vote>4.484712584467138</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RouteCorrector" version="1.0" plugin_id="4340">
        <description><![CDATA[Corrects GPS drift and realigns mobile environmental sensor data along user-defined routes.]]></description>
        <about><![CDATA[RouteCorrector is a QGIS plugin designed to correct GPS drift and spatial dispersion in mobile environmental monitoring datasets. It allows users to realign scattered measurement points (e.g., air quality, noise, or particulate matter) along predefined reference routes, ensuring that sensor data accurately follow real-world paths. The plugin includes two correction modes — Uniform Motion (MRU) and Distance-based — and provides an intuitive interface for researchers working on urban exposure assessment and environmental studies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/daperezmora/RouteCorrector]]></homepage>
        <file_name>RouteCorrector_V1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_flzD8we.png</icon>
        <author_name><![CDATA[Ana Laura Jiménez Chávez (InIAT, Universidad Iberoamericana)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RouteCorrector_V1/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[dpmora]]></uploaded_by>
        <create_date>2025-11-04T18:49:35.097325+00:00</create_date>
        <update_date>2025-11-04T18:49:38.665873+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/daperezmora/RouteCorrector/issues]]></tracker>
        <repository><![CDATA[https://github.com/daperezmora/RouteCorrector]]></repository>
        <tags><![CDATA[plugin,qgis,mobility,air quality,environmental monitoring,routecorrector,gps correction]]></tags>
        <downloads>253</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LinkScape" version="1.7.2" plugin_id="4341">
        <description><![CDATA[Tool for ecological corridor optimization and habitat connectivity analysis using raster and vector workflows. (IMPORTANT: For the latest version of this tool, please download TerraLink, which is the new name)]]></description>
        <about><![CDATA[LinkScape identifies and optimizes ecological corridors connecting fragmented habitats using graph-based algorithms. Supports both raster (land cover grids) and vector (polygon patches) modes with HDFM optimization (Most Connectivity and Largest Network), automatic CRS handling, optional impassable land classes, budget constraints, and flexible patch definitions for conservation planning at multiple scales. (IMPORTANT: For the latest version of this tool, please download TerraLink, which is the new name)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sorus-tools/Linkscape]]></homepage>
        <file_name>Linkscape.1.7.2.zip</file_name>
        <icon>/media/packages/2025/icon_z5zmIWJ.png</icon>
        <author_name><![CDATA[Ben Bishop]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Linkscape/version/1.7.2/download/</download_url>
        <uploaded_by><![CDATA[benjbishop]]></uploaded_by>
        <create_date>2025-11-05T15:45:17.396698+00:00</create_date>
        <update_date>2025-12-15T16:34:02.048825+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sorus-tools/Linkscape/issues]]></tracker>
        <repository><![CDATA[https://github.com/sorus-tools/Linkscape]]></repository>
        <tags><![CDATA[vector,ecology,raster,landscape,biodiversity,forest,graph,connectivity,planning,optimization,habitat,restoration,corridor,theory,conservation]]></tags>
        <downloads>1064</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PE3D Downloader" version="1.0.0" plugin_id="4342">
        <description><![CDATA[Baixa, descompacta e carrega dados do portal PE3D (Pernambuco) por município.]]></description>
        <about><![CDATA[Este plugin automatiza o fluxo de trabalho de aquisição de dados do portal Pernambuco Tridimensional (PE3D). Ele permite o login seguro, seleção por município e download paralelo otimizado, com descompactação e carregamento automático dos rasters no QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/weraclitof/qgis-pe3d-downloader]]></homepage>
        <file_name>pe3d_downloader.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_CQQSiYG.png</icon>
        <author_name><![CDATA[weraclitof]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pe3d_downloader/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[weraclitof]]></uploaded_by>
        <create_date>2025-11-05T15:54:04.763714+00:00</create_date>
        <update_date>2025-11-05T15:54:07.415982+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/weraclitof/qgis-pe3d-downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/weraclitof/qgis-pe3d-downloader]]></repository>
        <tags><![CDATA[raster,web,download,brasil,pe3d,automacao,pernambuco]]></tags>
        <downloads>271</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Select Matching Features" version="1.1" plugin_id="4343">
        <description><![CDATA[Select matching features in a layer with a mouse click.]]></description>
        <about><![CDATA[Click a feature to select or filter all features in layer with same attribute value. Target layer and field are configurable via a simple GUI. Advanced options allow usage of operators.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/matt-needle/qgis-select_matching_features]]></homepage>
        <file_name>select_matching_features.1.1.zip</file_name>
        <icon>/media/packages/2025/select_icon_IEOCX61.png</icon>
        <author_name><![CDATA[Matt Needle]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/select_matching_features/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[mattneedle]]></uploaded_by>
        <create_date>2025-11-05T22:09:40.987412+00:00</create_date>
        <update_date>2025-11-10T15:46:15.634441+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/matt-needle/qgis-select_matching_features/issues]]></tracker>
        <repository><![CDATA[https://github.com/matt-needle/qgis-select_matching_features]]></repository>
        <tags><![CDATA[python,filter,select,matching]]></tags>
        <downloads>452</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BeachBall" version="2.0" plugin_id="4344">
        <description><![CDATA[This plugin creates beachball to represent focal mechanisms from strike, dip, and rake.]]></description>
        <about><![CDATA[This plugin read the strike, dip, and rake information and build the corresponding beachball for representing the focal mechanisms. Obspy module is used for producing the SVGs. Images are coloured according to the kinematics, following the classification of Zoback (1992). Colors can be changed from the UI. The plugin also add P-T-B attitudes and SHmax azimuth in the attribute table. Percentage of DC, CLVD, ISO can be added as fields for the representation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/GeoSeisUtilities/beach_ball]]></homepage>
        <file_name>beach_ball.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_USbiNEU.png</icon>
        <author_name><![CDATA[GeoSeisUtilities]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/beach_ball/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[geoseisutilities]]></uploaded_by>
        <create_date>2025-11-06T14:03:59.153745+00:00</create_date>
        <update_date>2026-03-19T12:08:07.148147+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/GeoSeisUtilities/beach_ball/-/issues/new?type=ISSUE]]></tracker>
        <repository><![CDATA[https://gitlab.com/GeoSeisUtilities/beach_ball]]></repository>
        <tags><![CDATA[python,fault,beachball,seismicity,faultplanesolution,kinematics,focalmechanism,fm]]></tags>
        <downloads>648</downloads>
        <average_vote>4.665889018496917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Exportar Layouts a PDF" version="1.1.0" plugin_id="4345">
        <description><![CDATA[Exporta las presentaciones seleccionadas a PDF en un solo click / Export selected layouts to PDF in one click.]]></description>
        <about><![CDATA[Plugin para exportar automáticamente layouts seleccionados a PDF, permitiendo configurar compresión, texto editable y salida vectorial.\nNota de versión: ahora puedes exportar las presentaciones en un único PDF y definir el orden de exportación.\n\nPlugin to automatically export selected layouts to PDF, allowing you to configure compression, editable text, and vector output.\nVersion note: now you can export all layouts in a single PDF and define their order.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/exportar_layouts]]></homepage>
        <file_name>exportar_layouts.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_DUL89o5.png</icon>
        <author_name><![CDATA[David Bosch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/exportar_layouts/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[dbosch]]></uploaded_by>
        <create_date>2025-11-06T14:34:11.188261+00:00</create_date>
        <update_date>2025-11-10T09:38:49.317795+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://plugins.qgis.org/plugins/exportar_layouts]]></tracker>
        <repository><![CDATA[https://plugins.qgis.org/plugins/exportar_layouts]]></repository>
        <tags><![CDATA[vector,export,print,pdf,exportar,layout,impresion]]></tags>
        <downloads>987</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Models to plugin" version="0.1.1" plugin_id="4347">
        <description><![CDATA[This plugin helps you for generating a plugin embedding your models]]></description>
        <about><![CDATA[This plugin helps you for generating a plugin embedding your models]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcu/models2plugin]]></homepage>
        <file_name>models2plugin.0.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_nFBAGrX.png</icon>
        <author_name><![CDATA[Marc Ducobu, Etienne Trimaille]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/models2plugin/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2025-11-07T11:39:26.321230+00:00</create_date>
        <update_date>2026-02-15T20:24:28.876360+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcu/models2plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcu/models2plugin]]></repository>
        <tags><![CDATA[processing,generator,plugin,model]]></tags>
        <downloads>406</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AMERTA" version="1.1.0" plugin_id="4348">
        <description><![CDATA[Analisis Multi-kriteria Embung dan Rencana Tata Air - MCDA for retention ponds site suitability]]></description>
        <about><![CDATA[AMERTA is a QGIS plugin to identify and prioritize retention ponds locations using Multi-Criteria Decision Analysis (MCDA). It integrates CHIRPS rainfall variability (PCA), Topographic Wetness Index (TWI), standardized Land Cover (PL), and Soil Type (JTNH) to produce suitability maps.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sitasatu/AMERTA]]></homepage>
        <file_name>amerta.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_UNLffUb.png</icon>
        <author_name><![CDATA[Sitarani Safitri, Orbita Roswintiarti, Okta Fajar Saputra, Galdita Aruba Chulafak, Gatot Nugroho, Wismu Sunarmodo, Kusumaning Ayu Dyah Sukowati, Hana Listi Fitriana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/amerta/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[sitasatu]]></uploaded_by>
        <create_date>2025-11-08T07:34:27.651061+00:00</create_date>
        <update_date>2025-11-27T16:26:58.158596+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sitasatu/AMERTA/issues]]></tracker>
        <repository><![CDATA[https://github.com/sitasatu/AMERTA]]></repository>
        <tags><![CDATA[soil,hydrology,land cover,processing,pca,mcda,rainfall,chirps,principal component analysis,indonesia,twi,eigenvector,retention ponds]]></tags>
        <downloads>718</downloads>
        <average_vote>4.056877586361086</average_vote>
        <rating_votes>123</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CRSFinder" version="1.0.1" plugin_id="4351">
        <description><![CDATA[QGIS Plugin to find CRS of a layer of which CRS is unknown.]]></description>
        <about><![CDATA[QGIS Plugin to find CRS of a layer of which CRS is unknown.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Kanahiro/crs-finder-plugin]]></homepage>
        <file_name>CRSFinder.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_dsaGpw3.png</icon>
        <author_name><![CDATA[Kanahiro Iguchi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CRSFinder/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[kanahiro]]></uploaded_by>
        <create_date>2025-11-10T14:44:11.731261+00:00</create_date>
        <update_date>2025-11-10T15:14:41.074316+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kanahiro/crs-finder-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kanahiro/crs-finder-plugin]]></repository>
        <tags><![CDATA[crs]]></tags>
        <downloads>659</downloads>
        <average_vote>3.3993201359728054</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Camera2geo" version="1.0.5" plugin_id="4352">
        <description><![CDATA[Camera to geographic space image conversion]]></description>
        <about><![CDATA[Camera2Geo converts raw drone or camera images into georeferenced GeoTIFFs via image metadata and a camera model. This can be helpful to quickly view individual aerial images in GIS software, label image features in geographic space, and view images in full resolution rather than in orthomosaic resolution. The core functionality is built from Drone-Footprints but extended with additional features and an improved interface via a Python library, QGIS plugin, and CLI.

IMPORTANT: Manual installation of system level dependencies is required for this plugin, see: https://github.com/cankanoa/camera2geo?tab=readme-ov-file#qgis-plugin-installation]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cankanoa/camera2geo]]></homepage>
        <file_name>qgis_camera2geo.1.0.5.zip</file_name>
        <icon>/media/packages/2025/icon_high.png</icon>
        <author_name><![CDATA[Kanoa Lindiwe LLC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_camera2geo/version/1.0.5/download/</download_url>
        <uploaded_by><![CDATA[cankanoa]]></uploaded_by>
        <create_date>2025-11-11T07:53:11.384841+00:00</create_date>
        <update_date>2025-12-01T20:50:55.883750+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cankanoa/camera2geo/issues]]></tracker>
        <repository><![CDATA[https://github.com/cankanoa/camera2geo]]></repository>
        <tags><![CDATA[raster,digitizing,remote sensing,translate,layers]]></tags>
        <downloads>1077</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="geo_search" version="3.3.2" plugin_id="4354">
        <description><![CDATA[Advanced map search system for QGIS. Supports cadastral lot (&quot;tiban&quot;), owner name, and general attribute search. Results are shown in per-layer tabs with configurable display fields, paging, and map theme switching. Includes a UI for per-tab settings, theme selection (&quot;selectTheme&quot;), and an &quot;additive display&quot; mode to overlay search results. Compatible with QGIS 3.x, Qt5/Qt6.\n\nQGIS用の地図検索システム。地番・所有者名・属性検索に対応し、結果はレイヤごとにタブ表示・ページング・表示フィールド選択が可能。タブごとの設定編集UI、マップテーマ切替（selectTheme）、追加表示モード（既存表示に重ねて検索結果を表示）を搭載。QGIS 3.x/Qt5/Qt6対応。]]></description>
        <about><![CDATA[This plugin enables advanced map search in QGIS projects: lot-number, owner-name, and attribute-based search, with results shown in per-layer tabs. Features include:\n- Per-tab configurable search fields and display fields (UI editable)\n- Supports QGIS layers, files, and PostGIS databases\n- Paging for large results\n- Map theme switching per search (selectTheme, including &quot;検索前&quot; for restoring previous view)\n- Additive display mode: overlay search results on current map\n- Qt5/Qt6 compatible, QGIS 3.x supported\n- Japanese/English UI and documentation\n\nQGISプロジェクト内で地番・所有者名・属性による検索を実現。\n- タブごとに検索・表示フィールドを設定可能（UIで編集可）\n- QGISレイヤ・ファイル・PostGIS対応\n- 大量データもページング表示\n- 検索時にマップテーマ切替（selectTheme、検索前復元対応）\n- 追加表示モードで既存表示に重ねて検索結果を表示\n- Qt5/Qt6両対応、QGIS 3.x対応\n- 日本語・英語UI/ドキュメント]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yamamoto-ryuzo/GEO-search-plugin]]></homepage>
        <file_name>geo_search.3.3.2.zip</file_name>
        <icon>/media/packages/2026/qgis-icon_hjIIwdJ.png</icon>
        <author_name><![CDATA[yamamotoryuzo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo_search/version/3.3.2/download/</download_url>
        <uploaded_by><![CDATA[yamamotoryuzo]]></uploaded_by>
        <create_date>2025-11-11T12:25:20.473244+00:00</create_date>
        <update_date>2026-03-10T12:55:52.188491+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yamamoto-ryuzo/GEO-search-plugin]]></tracker>
        <repository><![CDATA[https://github.com/yamamoto-ryuzo/GEO-search-plugin]]></repository>
        <tags><![CDATA[search;parcel;address;geospatial;geocoding;japan]]></tags>
        <downloads>1500</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DeCreML" version="1.4.0" plugin_id="4355">
        <description><![CDATA[DeCreML es un complemento avanzado para QGIS que implementa un flujo completo de clasificación supervisada de imágenes multiespectrales mediante Machine Learning (Random Forest) utilizando el framework Orfeo ToolBox (OTB). El complemento permite analizar crecimiento urbano, uso de suelo y cambios espaciales a partir de imágenes satelitales como Sentinel-2, ortofotos o cualquier ráster multiespectral.]]></description>
        <about><![CDATA[Clasificación RandomForest con estilo QML.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enrique1497m-dot/qgis-plugins]]></homepage>
        <file_name>DeCreML.1.4.0.zip</file_name>
        <icon>/media/packages/2026/icon_tTMwLZZ.png</icon>
        <author_name><![CDATA[RUIZ GONZALEZ JUAN CARLOS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DeCreML/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[enriquemartinez97]]></uploaded_by>
        <create_date>2025-11-11T14:54:56.004868+00:00</create_date>
        <update_date>2026-02-05T21:05:39.991596+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enrique1497m-dot/qgis-plugins/issues]]></tracker>
        <repository><![CDATA[https://github.com/enrique1497m-dot/qgis-plugins]]></repository>
        <tags><![CDATA[classification,remote sensing,multispectral,random forest,machine learning,otb]]></tags>
        <downloads>1244</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SPHY" version="3.1.1" plugin_id="4356">
        <description><![CDATA[A QGIS plugin for preprocessing input data and running simulations for the Spatial Processes in Hydrology (SPHY) model.]]></description>
        <about><![CDATA[This plugin provides a preprocessing and model simulation environment for the Spatial Processes in Hydrology (SPHY) model within QGIS. It allows users to prepare input datasets, configure model parameters, run hydrological simulations, and visualize outputs through a graphical interface. The SPHY QGIS plugin integrates all essential steps of model setup including catchment delineation, parameterization, forcing data preparation, and a simulation environment to run the model and analyse and export results. 	Note that not all core functionalities of SPHY are available in the QGIS plugin. The full version is available on GitHub (https://github.com/FutureWater/SphyPlugin)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sphymodel.com/]]></homepage>
        <file_name>SphyPlugin.3.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_QKfu62b.png</icon>
        <author_name><![CDATA[FutureWater]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SphyPlugin/version/3.1.1/download/</download_url>
        <uploaded_by><![CDATA[ameliafdez19]]></uploaded_by>
        <create_date>2025-11-12T14:20:52.980814+00:00</create_date>
        <update_date>2025-11-12T14:20:55.524957+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FutureWater/SphyPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/FutureWater/SphyPlugin]]></repository>
        <tags><![CDATA[hydrology,model,sphy,climatechange,waterresources,preprocessor,cryosphere]]></tags>
        <downloads>564</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickDrawJP" version="0.6.3" plugin_id="4359">
        <description><![CDATA[Draw points, lines, polygons and circles in QGIS as if sketching, with automatic length/area attributes and easy FlatGeobuf/PNG export.]]></description>
        <about><![CDATA[QuickDrawJP lets you draw points, lines, polygons and circles directly on a QGIS map as if sketching on paper. Colors and line widths can be changed intuitively, and text_1 / text_2 labels are supported. The plugin automatically records geographic attributes such as latitude/longitude, distance, area and circle radius. All created objects can be exported together as FlatGeobuf, and taking a screenshot of the QGIS window is also just one click. QuickDrawJP was originally developed to support community health assessment and disaster response activities by Public Health Nurses (PHNs) in Japan, but it is useful for any quick sketching and annotation workflow in QGIS.\n\nQuickDrawJP は、QGIS 上でまるで紙にスケッチするようにポイント・ライン・多角形・円を描画できるプラグインである。色や線の太さを直感的に変更でき、text_1・text_2 によるラベル付けにも対応している。描画したオブジェクトについて、緯度経度・距離・面積・円の半径などの地理情報を自動で取得し、すべてのオブジェクトを FlatGeobuf として一括出力することができる。また、地図画面のスクリーンショットもワンクリックで保存可能である。日本の保健師による地域診断や災害時保健師活動を支援する目的で開発されたが、QGIS を用いたスケッチや注釈が必要なさまざまな場面で活用できる。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GISPHN/QuickDrawJP]]></homepage>
        <file_name>QuickDrawJP.0.6.3.zip</file_name>
        <icon>/media/packages/2025/quickdrawjp_icon_CwiiKlz.png</icon>
        <author_name><![CDATA[GISPHN(Ryo Horiike)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickDrawJP/version/0.6.3/download/</download_url>
        <uploaded_by><![CDATA[gisphn]]></uploaded_by>
        <create_date>2025-11-13T01:19:32.326672+00:00</create_date>
        <update_date>2025-11-13T02:06:27.191463+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GISPHN/QuickDrawJP/issues]]></tracker>
        <repository><![CDATA[https://github.com/GISPHN/QuickDrawJP]]></repository>
        <tags><![CDATA[disaster,annotation,drawing,japan,screenshot,flatgeobuf,phn,public health,quick sketch]]></tags>
        <downloads>920</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IBGE Base Cartográfica Contínua" version="1.1" plugin_id="4360">
        <description><![CDATA[Este complemento facilita o acesso e o uso dos dados das Bases Cartográficas Contínuas do IBGE (como BC250, BC100 e BC25) diretamente no QGIS, além de aplicar automaticamente a simbologia correspondente.]]></description>
        <about><![CDATA[-Funcionamento:

🔹Visualização das Camadas disponíveis:
*Conecta-se ao geoserviço do IBGE para obter a lista mais recente de dados disponíveis das Bases Cartográficas Contínuas.
🔹Seleção de Camadas:
*Apresenta ao usuário uma lista para selecionar a escala/produto desejado (ex.: BC250_2023, BC100_GO_DF, BC25_RJ).
🔹Download e Carregamento:
*O download dos dados é realizado em segundo plano (usando QgsTask), o que impede que a interface do QGIS trave durante a aquisição de dados pesados.
*O usuário tem duas opções de saída para as camadas selecionadas:
=&gt;Salvar em GeoPackage: Permite salvar todas as camadas selecionadas dentro de um único arquivo .gpkg no computador.
=&gt;Camadas Temporárias: Carrega as camadas em memória, ideal para visualização rápida sem salvar arquivos permanentes.
🔹Aplicação de Estilo:
*Após carregar a camada (seja do GeoPackage ou temporária), o plugin automaticamente aplica a simbologia QML correspondente. Ele localiza o arquivo .qml correto dentro da pasta Simbologia/ do plugin, garantindo que os dados sejam exibidos com o estilo visual correto do IBGE.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MatheusOliveiraFreitas/IBGE-Base-Continua]]></homepage>
        <file_name>ibge_base_continua.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_ivpsJNM.png</icon>
        <author_name><![CDATA[Matheus Oliveira de Freitas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ibge_base_continua/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[matheus303]]></uploaded_by>
        <create_date>2025-11-13T01:45:52.158241+00:00</create_date>
        <update_date>2025-12-11T13:15:36.812232+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MatheusOliveiraFreitas/IBGE-Base-Continua]]></tracker>
        <repository><![CDATA[https://github.com/MatheusOliveiraFreitas/IBGE-Base-Continua]]></repository>
        <tags><![CDATA[wfs,download,brasil,geopackage,ibge,cartografia]]></tags>
        <downloads>2168</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LiDARHeightExtractor" version="1.0.2" plugin_id="4361">
        <description><![CDATA[Plugin to compute nDSM from point clouds and compute maximal height per polygon (buildings, trees...).
LiDARHeightExtractor produces a high-quality nDSM from LiDAR point clouds and extracts per-polygon height metrics to support building analysis, canopy and forest assessment, and urban planning workflows. The plugin uses PDAL to rasterize point clouds (TIN-based), optionally filters points for DEM/DTM generation using user-provided expressions, computes nDSM = DEM − DTM with GDAL/NumPy, and writes the maximum nDSM value into a new lidar_height field on a copy of your polygon layer. Output is exported using QGIS core APIs and automatically loaded into the project; processing is logged for reproducibility and debugging.]]></description>
        <about><![CDATA[LiDARHeightExtractor v1.0.2 - computes nDSM and adds &#x27;lidar_height&#x27; (max per polygon). Depends on PDAL (pdal_wrench). See docs for installation instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/javisotogis/extract_building_heights]]></homepage>
        <file_name>lidar_height_extractor_v1_0_2.1.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Antonio Javier Soto Molina]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lidar_height_extractor_v1_0_2/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[geojavi]]></uploaded_by>
        <create_date>2025-11-13T14:39:04.015753+00:00</create_date>
        <update_date>2025-11-13T14:39:06.429341+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/javisotogis/extract_building_heights/issues]]></tracker>
        <repository><![CDATA[https://github.com/javisotogis/extract_building_heights]]></repository>
        <tags><![CDATA[polygon,height,point cloud,LiDAR]]></tags>
        <downloads>3205</downloads>
        <average_vote>4.221753138540162</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CommonChart" version="1.0" plugin_id="4362">
        <description><![CDATA[A basic plugin giving access to simplly built data charts and dashboards. Charts calculation is based on building and quering a viritual layer summing and grouping data to show visually. Data selected by user is shown on a side dock and can be dragged to place on screen like every other QGiS pannel. Numerous dashboards can be generated and arranged to create a full analyzing and monitoring display.]]></description>
        <about><![CDATA[For visual instructions or beta version visit here - github.com/ErezSarig/CommonDashboard/

Plugin under the hood and limitations explained:
- Charts calculations are done using qgis&#x27;s virtual layers. Virtual layers are constructed with SQL which makes them quite fast. Unfortunately this makes any Qgs Expressions or virtual field invisible, since the virtual layers query the source of the layer directly. For some reason, at the moment, that goes for Temporary layers as well (Memory based).
- Coloring of the charts derive it&#x27;s schemes from the layer&#x27;s category renderer or from project&#x27;s colors settings. For the moment no more options are available.
Based on layer&#x27;s styling if it&#x27;s categoriesed. Category&#x27;s symbol will only work for fill symbols (patterns, dot and gradients fill included). For now fill is created using tiles of 60x60 pixels. Depending on the symbolgy&#x27;s inner patterns this can sometimes cause a visible unwanted grid shaped pattern.
Random assignment of colors derived from project&#x27;s colors settings. Using project colors limits the number of shown categories to the number of given colors. all other categories will be summed together to a new &#x27;All others&#x27; category. Charts are drawn from largest parts to the smallest ones so that colors aren&#x27;t always assigned to the same categories.

Improvements on next updates:
- Common chart menu to enable easy inserting of color schemes and general css and filters whithin qgis
- QgsFunction for creating CommonCharts on MapTips and layouts
- Hopefully migration to Qt6 on QGiS new coming V4.0 will open up new options for advanced svg drawing. This includes inserting CSS and dynamic interaction with elements of the chart in qgis without exporting.

Write me for any bugs or suggestions]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ErezSarig/CommonDashboard/]]></homepage>
        <file_name>CommonChart.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_zmaRn1w.png</icon>
        <author_name><![CDATA[CommonGround]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CommonChart/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[erez]]></uploaded_by>
        <create_date>2025-11-14T10:45:41.954013+00:00</create_date>
        <update_date>2025-11-14T10:45:44.162705+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ErezSarig]]></tracker>
        <repository><![CDATA[https://github.com/ErezSarig/CommonDashboard]]></repository>
        <tags><![CDATA[vector,data,chart,dashboard,bi,visual]]></tags>
        <downloads>663</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LinkToGoogleMaps" version="1.0.1" plugin_id="4363">
        <description><![CDATA[Generate a Google Maps or Street View link from any spot on your QGIS map—copy or open the location instantly with one click, always using WGS84 coordinates.]]></description>
        <about><![CDATA[Create shareable Google Maps and Street View links directly from QGIS.
It converts any clicked map point to WGS84 and builds the URL for you.
Key features:
- One click to copy the link or open it in your browser
- Choose Google Maps or Street View as the default action
- Automatic reprojection to WGS84 from any layer CRS
- Configurable zoom level for Maps and Street View
- Toolbar button remembers your last choice
- Address search: from the dropdown menu, search by address (Nominatim) to center the map on a place
Perfect for quickly sharing precise locations or opening field navigation.
Translations: English (default) and Italian (it).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcofaenzi/QGis_link_to_google_maps/blob/main/README.md]]></homepage>
        <file_name>QGis_link_to_google_maps.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_6utClIu.png</icon>
        <author_name><![CDATA[Marco Faenzi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGis_link_to_google_maps/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[marcofaenzi]]></uploaded_by>
        <create_date>2025-11-14T15:11:19.361316+00:00</create_date>
        <update_date>2026-03-13T11:26:19.439976+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcofaenzi/QGis_link_to_google_maps/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcofaenzi/QGis_link_to_google_maps]]></repository>
        <tags><![CDATA[url,google maps,street view,clipboard,sharing,map link,external tools]]></tags>
        <downloads>6516</downloads>
        <average_vote>4.999687519530029</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tile Boundary Layer" version="1.1.0" plugin_id="4366">
        <description><![CDATA[Display Web Mercator tile boundaries in real-time]]></description>
        <about><![CDATA[A QGIS plugin that automatically displays Web Mercator tile boundaries and coordinates based on map view changes. This plugin helps developers and GIS workers visualize tile structures in real-time.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hirofumikanda/tile-boundary-layer-plugin]]></homepage>
        <file_name>tile_boundary_layer_plugin.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_N9AqTzb.png</icon>
        <author_name><![CDATA[Hirofumi Kanda]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tile_boundary_layer_plugin/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[hkanda]]></uploaded_by>
        <create_date>2025-11-16T14:30:14.008331+00:00</create_date>
        <update_date>2025-11-20T10:01:56.139674+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hirofumikanda/tile-boundary-layer-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hirofumikanda/tile-boundary-layer-plugin]]></repository>
        <tags><![CDATA[tiles,overlay,web mercator,real-time]]></tags>
        <downloads>558</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Export Layers Within Area" version="2.0.0" plugin_id="4367">
        <description><![CDATA[Exports selected layers limiting to features contained within one or more polygons from any layer]]></description>
        <about><![CDATA[The plugin allows configuring a reference polygon layer and exporting other vector layers by limiting their content to the selected polygons.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcofaenzi/QGis_export_layers_within_area/blob/main/README.md]]></homepage>
        <file_name>QGis_export_layers_within_area.2.0.0.zip</file_name>
        <icon>/media/packages/2025/plugin_vdC7b97.svg</icon>
        <author_name><![CDATA[Marco Faenzi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGis_export_layers_within_area/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[marcofaenzi]]></uploaded_by>
        <create_date>2025-11-16T16:50:35.500694+00:00</create_date>
        <update_date>2025-11-18T09:04:13.996959+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcofaenzi/QGis_export_layers_within_area/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcofaenzi/QGis_export_layers_within_area]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>508</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BackupProjektu" version="1.0" plugin_id="4368">
        <description><![CDATA[Creates timestamped backups of QGIS project file with Memory Layer Saver plugin support
Tworzy kopie zapasowe pliku projektu QGIS ze wsparciem wtyczki Memory Layer Saver]]></description>
        <about><![CDATA[[EN] BackupProjektu creates timestamped project-file backups in the &#x27;_backups&#x27; subfolder.
Format: PROJECT_NAME (backup YYYY-MM-DD HH.MM.SS).qgz
Features: 
- Auto-save project before backup
- Memory Layer Saver plugin integration (optional)
- .mldata file backup support (optional)
- Bilingual interface (PL/EN)
Note: Memory Layer Saver plugin required for temporary layers backup.
 ----------------------------------------
[PL] BackupProjektu tworzy kopie zapasowe pliku projektu ze znacznikiem czasowym w podkatalogu &#x27;_backups&#x27;.
Format: NAZWA_PROJEKTU (backup RRRR-MM-DD GG.MM.SS).qgz
Funkcje:
- Autozapis projektu przed backupem
- Integracja z wtyczką Memory Layer Saver (opcjonalna)
- Kopia pliku .mldata (opcjonalna)
- Interfejs dwujęzyczny (PL/EN)
Uwaga: Wtyczka Memory Layer Saver wymagana dla backupu warstw tymczasowych.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MAPYMAPY/QGIS-BackupProjektu]]></homepage>
        <file_name>BackupProjektu.1.0.zip</file_name>
        <icon>/media/packages/2025/backup_floppy.png</icon>
        <author_name><![CDATA[Artur Otremba]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BackupProjektu/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mapymapy]]></uploaded_by>
        <create_date>2025-11-17T12:45:58.247384+00:00</create_date>
        <update_date>2025-11-17T12:46:01.180643+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MAPYMAPY/QGIS-BackupProjektu/issues]]></tracker>
        <repository><![CDATA[https://github.com/MAPYMAPY/QGIS-BackupProjektu]]></repository>
        <tags><![CDATA[project,memory layer,copy,snapshot,save,archive,backup]]></tags>
        <downloads>392</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VirtuGhan - Satellite Data Tools" version="1.0.13" plugin_id="4369">
        <description><![CDATA[Satellite data search, preview, download, tile basemap creation, and spectral analysis in QGIS. Currently supports Sentinel-2.]]></description>
        <about><![CDATA[VirtuGhan helps you discover and process satellite imagery directly in QGIS. Use Tiles to add fast map previews, Download to save selected bands for your AOI/date/cloud filters, and Compute to run spectral formulas such as NDVI and generate analysis rasters. Matching scene footprints can be previewed before processing, and outputs are saved locally and loaded into your QGIS project. For more information and the web version, visit https://virtughan.com/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/virtughan/qgis-plugin]]></homepage>
        <file_name>virtughan_qgis.1.0.13.zip</file_name>
        <icon>/media/packages/2026/virtughan-logo_iIhR4sK.png</icon>
        <author_name><![CDATA[Upendra Oli; Kshitij Raj Sharma; Sahar Mohamed]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/virtughan_qgis/version/1.0.13/download/</download_url>
        <uploaded_by><![CDATA[upen]]></uploaded_by>
        <create_date>2025-11-17T13:23:49.277399+00:00</create_date>
        <update_date>2026-04-07T14:08:13.159703+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/virtughan/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/virtughan/qgis-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>583</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EV Charging Station Location Estimator" version="0.1" plugin_id="4371">
        <description><![CDATA[Estimates possible locations for EV Charging Stations given relevant data.]]></description>
        <about><![CDATA[Estimates optimal points for new Electric Vehicle charging station locations given relevant datasets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Aashuthosh1110/EVCS_Plugin]]></homepage>
        <file_name>evcs_plugin.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_k9DM82V.png</icon>
        <author_name><![CDATA[Vishesh, Aashuthosh, Sarthak]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/evcs_plugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[aashuthosh]]></uploaded_by>
        <create_date>2025-11-18T07:24:52.706552+00:00</create_date>
        <update_date>2025-11-18T07:24:55.500174+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Aashuthosh1110/EVCS_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Aashuthosh1110/EVCS_Plugin]]></repository>
        <tags><![CDATA[optimization,ev,location estimation]]></tags>
        <downloads>222</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Fillet Digitize Tool" version="2.1" plugin_id="4372">
        <description><![CDATA[Draw polylines and polygons with real-time rounded corners in QGIS.]]></description>
        <about><![CDATA[This QGIS plugin enables you to digitize polylines and polygons with live fillet (rounded corner) previews. It automatically detects the active layer type (line or polygon) and adapts its behavior accordingly. Adjust the fillet radius interactively using keyboard shortcuts while drawing—ideal for sketching roads, pipelines, boundaries, or any feature requiring smooth transitions.  Unlike traditional workflows that apply fillets *after* geometry creation, this tool integrates rounding directly into the digitizing process—mimicking how designers naturally sketch on reference maps.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/winchop/fillet_digitize]]></homepage>
        <file_name>fillet_digitize.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_fWm2yOU.png</icon>
        <author_name><![CDATA[Chopper ZhangWenChao]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fillet_digitize/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[winchop]]></uploaded_by>
        <create_date>2025-11-19T02:05:19.722793+00:00</create_date>
        <update_date>2026-04-13T10:10:00.300106+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/winchop/fillet_digitize/issues]]></tracker>
        <repository><![CDATA[https://github.com/winchop/fillet_digitize]]></repository>
        <tags><![CDATA[polyline,digitizing,fillet,倒角,圆角多段线,rounding,实时]]></tags>
        <downloads>814</downloads>
        <average_vote>2.997002997002997</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ARD360 - QGIS Plugin" version="0.6" plugin_id="4373">
        <description><![CDATA[Load, manage, and view 360-degree street-level imagery with integrated web-based panoramic viewer]]></description>
        <about><![CDATA[ARD360 is a photogrammetry-enabled platform designed to visualize, navigate, abd extract features from 360° georeferenced imagery. It allows spatial data digitization directly from street-level images, supporting workflows in inspection, GIS updates, and digital twin creation.

Key Features:
• Seamless 360° image viewing with geo-navigation
• Feature extraction (points, lines, polygons) and measurement tools
• QGIS plugin for integrated GIS editing
• Asset tagging, defect validation, and photo-linked records

Contact us at info@urbanexplorer.com.my]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://urbanexplorer.com.my/]]></homepage>
        <file_name>ard360_qgis_plugin.0.6.zip</file_name>
        <icon>/media/packages/2026/logo_QoTZ2Hj.png</icon>
        <author_name><![CDATA[Urban Explorer Sdn. Bhd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ard360_qgis_plugin/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[danishdanial]]></uploaded_by>
        <create_date>2025-11-19T02:17:11.426982+00:00</create_date>
        <update_date>2026-02-16T02:10:22.374004+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Solution-and-Development/ard360-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Solution-and-Development/ard360-qgis-plugin]]></repository>
        <tags><![CDATA[panorama,imagery,aerial,360,ard360,web viewer,digital twin]]></tags>
        <downloads>1190</downloads>
        <average_vote>2.8328611898016995</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Urban Change AID" version="1.1.2" plugin_id="4375">
        <description><![CDATA[QGIS plugin for detecting and analyzing urban changes between two time periods using satellite or aerial imagery and AI-assisted metrics.]]></description>
        <about><![CDATA[Urban Change AID provides an integrated workflow for detecting, mapping, and analyzing urban changes across two dates. It includes tools for image alignment, spectral band extraction, normalization, thresholding, difference calculation, mask generation, vectorization, and spatial metrics computation. Designed for satellite or aerial imagery, the plugin features an intuitive tabbed interface that guides the user through each stage of the process.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mikadishen/urban_change_aid]]></homepage>
        <file_name>Urban_Change_AID.1.1.2.zip</file_name>
        <icon>/media/packages/2025/urban_icon_house_cPITyTE.png</icon>
        <author_name><![CDATA[Leandro da Silva Gregorio]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Urban_Change_AID/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[mikadishen]]></uploaded_by>
        <create_date>2025-11-20T01:16:41.583079+00:00</create_date>
        <update_date>2025-12-19T19:44:41.426165+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mikadishen/urban_change_aid/issues]]></tracker>
        <repository><![CDATA[https://github.com/mikadishen/urban_change_aid]]></repository>
        <tags><![CDATA[remote sensing,change detection,geoprocessing,qgis,urban,satellite imagery,ai]]></tags>
        <downloads>672</downloads>
        <average_vote>4.799040191961607</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Gestion parcelles forestières" version="1.5.8" plugin_id="4376">
        <description><![CDATA[Gestion de parcelles forestières, travaux, traitements, type essences arbres. Ce plugin permet la gestion complète de vos parcelles.]]></description>
        <about><![CDATA[Ce plugin vous permet de gérer vos parcelles forestières, le type d&#x27;essences, les travaux et traitements faits ou en prévision, les coordonnées de vos voisins et une analyse statistique simple de vos parcelles. Un code couleur évolutif permet de différencier le type de plantations. Une configuration est nécessaire pour créer les champs et les codes couleurs dans votre table attributaire nécessaires au fonctionnement du plugin. Pour que celui-ci fonctionne il faut tout d&#x27;abord installer une couche cadastrale et s&#x27;assurer qu&#x27;elle comporte bien les champs : id, section, numéro et contenance. Le plugin la convertira au format Geopackage automatiquement. Lire le fichier d&#x27;aide LIRE AVANT. Version Française et Anglaise. Compatibilité de la configuration du plugin avec les pays suivants : Luxembourg, Belgique, Suisse, Sénégal, Côte d’Ivoire, Bénin, Burkina Faso, Togo, Mali, Niger. Version compatible Qgis3 Qt5 et Qgis4 Qt6. Merci de vos retours. This plugin allows you to manage your forest plots, the type of tree species, the work and treatments carried out or planned, the contact details of your neighbors and a simple statistical analysis of your plots. Thanks to Pascal O. for his corrections for 1.5.6 .]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Marcopololo88/gestion_forestiere]]></homepage>
        <file_name>gestion_forestiere.1.5.8.zip</file_name>
        <icon>/media/packages/2026/icon_Gv4X57s.png</icon>
        <author_name><![CDATA[Marc GROSJEAN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gestion_forestiere/version/1.5.8/download/</download_url>
        <uploaded_by><![CDATA[marcoopoololo]]></uploaded_by>
        <create_date>2025-11-20T07:20:58.233997+00:00</create_date>
        <update_date>2026-04-01T15:10:39.059476+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Marcopololo88/gestion_forestiere/issues]]></tracker>
        <repository><![CDATA[https://github.com/Marcopololo88/gestion_forestiere]]></repository>
        <tags><![CDATA[cadastre,plugin,forêt,gestion,parcelles,forestière]]></tags>
        <downloads>884</downloads>
        <average_vote>0.9995002498750625</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FastCutter" version="0.2" plugin_id="4378">
        <description><![CDATA[Performs an in-place difference operation on the active layer, using selected features to clip and remove overlapping parts from underlying geometries.]]></description>
        <about><![CDATA[FastCutter is an editing tool designed to speed up digitizing workflows. It functions as a &quot;cookie cutter&quot; for your vector layers, allowing you to subtract the geometry of selected features from all other intersecting features within the same layer.

Ideally suited for cleaning up overlaps or carving shapes out of existing polygons without creating temporary layers or running complex geoprocessing tools.

How to use:
1. Select the vector layer you wish to edit.
2. Select one or more features on the map to act as a cutter.
3. Click the FastCutter button in the toolbar.
4. The plugin will calculate the difference and remove the overlapping parts from all underlying features.

Notes:
- The operation automatically starts an edit session.
- Full Undo support: simply press Ctrl+Z to revert changes.
- Works on vector layers only.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gigghizz/qgis-fastcutter]]></homepage>
        <file_name>fastcutter.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_6CtaFJW.png</icon>
        <author_name><![CDATA[Emanuele Gigante]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fastcutter/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[emanuelegigante]]></uploaded_by>
        <create_date>2025-11-20T14:26:24.717213+00:00</create_date>
        <update_date>2025-11-21T11:01:39.859992+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gigghizz/qgis-fastcutter/issues]]></tracker>
        <repository><![CDATA[https://github.com/gigghizz/qgis-fastcutter]]></repository>
        <tags><![CDATA[editing,python,digitizing,difference,clip]]></tags>
        <downloads>652</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Calculate Area in Mu" version="1.0" plugin_id="4379">
        <description><![CDATA[Calculate polygon area and store result in Chinese mu (1 mu = 666.67 m²)]]></description>
        <about><![CDATA[This plugin calculates the area of each polygon feature in square meters and converts it to Chinese mu (亩), storing the result in a new field named &#x27;Mu&#x27;. Invalid or empty geometries are set to NULL. The operation is undoable and works on any editable polygon vector layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/winchop/CalculateAreaInMu]]></homepage>
        <file_name>CalculateAreaInMu.1.0.zip</file_name>
        <icon>/media/packages/2025/Muicon.png</icon>
        <author_name><![CDATA[Chopper ZhangWenChao]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CalculateAreaInMu/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[winchop]]></uploaded_by>
        <create_date>2025-11-21T01:45:01.941452+00:00</create_date>
        <update_date>2025-11-21T01:45:04.278181+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/winchop/CalculateAreaInMu/issues]]></tracker>
        <repository><![CDATA[https://github.com/winchop/CalculateAreaInMu]]></repository>
        <tags><![CDATA[polygon,area,calculation,亩,土地面积,面积计算,mu]]></tags>
        <downloads>549</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layout Text Replacer" version="1.0" plugin_id="4381">
        <description><![CDATA[&quot;This plugin allows you to search and replace text in all text elements of QGIS layouts.&quot;]]></description>
        <about><![CDATA[This plugin allows you to search and replace text in all text elements of QGIS layouts. Useful for quickly updating information in print compositions. Features: search and replace in specific layouts or all simultaneously, intuitive graphical interface, replacement counter.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SDTC08/Reemplazar-textos-layout]]></homepage>
        <file_name>layout_text_replacer.1.0.zip</file_name>
        <icon>/media/packages/2025/LOGO_EPA_YT_9vAU44Q.png</icon>
        <author_name><![CDATA[Damaris Toledo Chávez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layout_text_replacer/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[damtc]]></uploaded_by>
        <create_date>2025-11-21T18:02:58.569702+00:00</create_date>
        <update_date>2025-11-21T18:03:01.612357+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SDTC08/Reemplazar-textos-layout/issues]]></tracker>
        <repository><![CDATA[https://github.com/SDTC08/Reemplazar-textos-layout]]></repository>
        <tags><![CDATA[print,text,layout,replace,composition,etiquetas,imprimir]]></tags>
        <downloads>426</downloads>
        <average_vote>4.777246972558605</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TopoDrain" version="1.0.1" plugin_id="4382">
        <description><![CDATA[A QGIS plugin for planning surface drainage water management like Keyline-Design.]]></description>
        <about><![CDATA[It automates the extraction of main valleys and ridges, creates off-contour line and supports creating Keyline Designs and other water-retention planning measures. The tool can also be used for other tasks, such as planning the location and alignment of paths and roads.
DISCLAIMER: Influencing surface runoff on land is complex and requires significant expertise. This tool is intended as an aid for users with experience in land surface water management.

DOCUMENTATION: Detailed INSTALLATION MANUAL and TUTORIAL GUIDES are available on the project homepage: https://github.com/wickit7/topo-drain-plugin

Core algorithms leverage WhiteboxTools (Lindsay, 2017–2020; see https://github.com/jblindsay/whitebox-tools).
So make shure you have installed and configured the plugin &quot;WhiteboxTools for QGIS&quot;!
- Installation video: https://www.youtube.com/watch?v=xJXDBsNbcTg

This plugin requires several Python packages (numpy, shapely, pandas, geopandas, scipy).
These packages are widely used in geospatial data processing, but may not all are included in default QGIS installations (pandas, geopandas, and scipy). If a package is missing, follow the installation instructions below:
- Windows, QGIS installed with OSGeo4W: https://landscapearchaeology.org/2018/installing-python-packages-in-qgis-3-for-windows/
- macOS (terminal): https://gis.stackexchange.com/questions/351280/installing-python-modules-for-qgis-3-on-mac
See on github site for more informations! -&gt; https://github.com/wickit7/topo-drain-plugin]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wickit7/topo-drain-plugin]]></homepage>
        <file_name>topo_drain.1.0.1.zip</file_name>
        <icon>/media/packages/2025/topo_drain_shHkbcs.svg</icon>
        <author_name><![CDATA[wickit7]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/topo_drain/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[topodrain]]></uploaded_by>
        <create_date>2025-11-21T22:04:43.811386+00:00</create_date>
        <update_date>2025-12-30T11:27:21.669575+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wickit7/topo-drain-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/wickit7/topo-drain-plugin]]></repository>
        <tags><![CDATA[topo-drain,schwammland,keyline-design,whiteboxtools,water-management,permaculture,sponge-scape,watershed-analysis,surface analysis]]></tags>
        <downloads>936</downloads>
        <average_vote>2.3912523640790417</average_vote>
        <rating_votes>46</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WZ Workflow" version="1.0.4" plugin_id="4388">
        <description><![CDATA[Comprehensive tool for Polish urban planning analysis (Building Permit Conditions - Warunki Zabudowy)]]></description>
        <about><![CDATA[Advanced QGIS plugin for automated urban planning analysis in Poland (Warunki Zabudowy - WZ).

Features:
• 14-step automated workflow for building permit analysis
• Machine learning-based terrain and building classification
• LiDAR point cloud processing
• Cadastral data integration (ULDK/BDOT)
• Automated Word report generation
• Urban planning indicators (WPZ, WIZ, WPBC)

ML models (~174 MB) are downloaded automatically on first use from GitHub.

---

Kompleksowe narzędzie do automatycznej analizy warunków zabudowy w Polsce.
Automatyzuje 14-stopniowy proces analizy urbanistycznej z wykorzystaniem uczenia maszynowego.
Modele ML (~174 MB) są pobierane automatycznie przy pierwszym uruchomieniu.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AdrLin/wz-workflow]]></homepage>
        <file_name>wz_workflow_plugin_for_REPO.1.0.4.zip</file_name>
        <icon>/media/packages/2026/icon_doYHa2T.png</icon>
        <author_name><![CDATA[Adrian Linkowski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wz_workflow_plugin_for_REPO/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[adrlin]]></uploaded_by>
        <create_date>2025-11-23T21:50:22.252523+00:00</create_date>
        <update_date>2026-01-10T09:15:26.775195+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AdrLin/wz-workflow/issues]]></tracker>
        <repository><![CDATA[https://github.com/AdrLin/wz-workflow]]></repository>
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        <server>False</server>
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        <about><![CDATA[KAT Analyse - Overlap area is a spatial quality-control tool that automatically adapts its detection rules to the geometry type. It identifies overlaps, intersections, duplicates and topological inconsistencies, and provides detailed reports and visualization tools.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AzizT-dev/kat_overlap]]></homepage>
        <file_name>KAT.1.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_JRk3y79.png</icon>
        <author_name><![CDATA[Aziz T.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/KAT/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[aziztdev]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AzizT-dev/kat_overlap/issues]]></tracker>
        <repository><![CDATA[https://github.com/AzizT-dev/kat_overlap]]></repository>
        <tags><![CDATA[vector,point,intersection,analysis,network,polygon,line,geometry,topology,spatial,validation,cadastre,overlap,quality,duplicate,multi-types,quality-control]]></tags>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PdfExtract" version="3.1" plugin_id="4391">
        <description><![CDATA[Converts PDF files to DXF, Shapefile, Geojson format using PyMuPDF and ezdxf.]]></description>
        <about><![CDATA[This plugin converts PDF files to DXF,Shapefile, Geojson format. using PyMuPDF and ezdxf dependencies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://surveyorstories.github.io]]></homepage>
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        <icon>/media/packages/2026/icon_bx0aKtW.png</icon>
        <author_name><![CDATA[Surveyor Stories]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PdfExtract/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[lokeshmetta]]></uploaded_by>
        <create_date>2025-11-24T16:11:10.430958+00:00</create_date>
        <update_date>2026-01-21T02:48:54.549529+00:00</update_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/surveyorstories/pdfextract/issues]]></tracker>
        <repository><![CDATA[https://github.com/surveyorstories/pdfextract]]></repository>
        <tags><![CDATA[cad,converter,pdf,dxf,pdf to geojson,pdf to shapefile,pdf to dxf]]></tags>
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        <server>False</server>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cesardgs/HMSExtractor]]></homepage>
        <file_name>hms_extractor.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_8BxWJ8M.png</icon>
        <author_name><![CDATA[Julio Gago]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hms_extractor/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[cesard]]></uploaded_by>
        <create_date>2025-11-25T01:17:53.079041+00:00</create_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cesardgs/HMSExtractor/issues]]></tracker>
        <repository><![CDATA[https://github.com/cesardgs/HMSExtractor]]></repository>
        <tags><![CDATA[python;hydrology;hechms;gis]]></tags>
        <downloads>408</downloads>
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        <server>False</server>
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        <description><![CDATA[Download georeferenced maps from any layer as GeoTIFF or MBTiles; supports bbox/center extents, zoom range or single-shot, neighbour padding, live estimates, and determinate progress]]></description>
        <about><![CDATA[Custom Map Downloader is a QGIS plugin that enables high-resolution map export from any loaded layer. Export formats: GeoTIFF (single raster image with full georeferencing) and MBTiles (tile pyramid for web/mobile use). GeoTIFF mode: specify a center point, GSD, and dimensions; the plugin computes the map extent, renders at the requested resolution, and writes a geotagged TIFF. MBTiles mode: define an area (center+radius or bounding box), choose zoom levels or a single-shot export, and optionally expand the tile range with neighbour padding. Features include: 30+ CRS support, auto-detect minimum visible zoom, live tile count and size estimates, determinate progress bars with percentage, and support for satellite imagery, XYZ tiles, raster, and vector tile layers. Ideal for offline maps, simulation, training data, and custom analysis workflows.]]></about>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2026/icon_9K4hZSV.png</icon>
        <author_name><![CDATA[Abhinav Jayswal]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/custom_map_downloader/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[ashroo]]></uploaded_by>
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        <server>False</server>
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        <description><![CDATA[Simple Tools for RF and Wireless Telecom Engineers.]]></description>
        <about><![CDATA[RF Tools are a collection of simple tools to aid the RF engineer. These are:- Site See,for sector visualization, PCI and RSI planning, Azimuth Optimizer, Tilt Optimizer, Basic Coverage prediction and Interference Analysis for both LTE (4G) and NR (5G) networks.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_7nIITkT.svg</icon>
        <author_name><![CDATA[Leonard Fodje]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RFTools/version/3.4/download/</download_url>
        <uploaded_by><![CDATA[mbebwo]]></uploaded_by>
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        <server>False</server>
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        <about><![CDATA[Detects and marks curve points in a road network within a selected boundary polygon by calculating the deflection angle at each vertex from three consecutive points (previous–current–next). Vertices whose angle falls inside a user-defined range are treated as curve points, and all detected points inside the selected polygon are exported as a new point layer with attributes containing ID and measured angle.]]></about>
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        <icon>/media/packages/2025/curve.png</icon>
        <author_name><![CDATA[Pappa Dimitra - Consortis Geospatial]]></author_name>
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        <uploaded_by><![CDATA[dimitrapappa]]></uploaded_by>
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        <deprecated>False</deprecated>
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        <server>False</server>
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        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_xr1G9Z9.png</icon>
        <author_name><![CDATA[Dimitra Pappa - Consortis Geospatial]]></author_name>
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        <uploaded_by><![CDATA[dimitrapappa]]></uploaded_by>
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        <icon>/media/packages/2025/icon_WQ6HaW0.png</icon>
        <author_name><![CDATA[Benjamin Dadson]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Overlap_Clipper/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[atodadson]]></uploaded_by>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/atodadson/Overlap_Clipper/issues]]></tracker>
        <repository><![CDATA[http://github.com/atodadson/Overlap_Clipper]]></repository>
        <tags><![CDATA[python,intersection,polygon,clip,overlap]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SnapIntegrator" version="1.1" plugin_id="4402">
        <description><![CDATA[Finds two snapped lines in a road network that are not joined  within a selected polygon boundary]]></description>
        <about><![CDATA[snapIntegrator is a Qgis plugin that detects topological errors (snapping) in a road network.SnapIntegrator Analyzes from a selected boundary(ex.Different countries) and finds line segments that are snapped but in reality are not joined or there are differnet values from a specific field.You have the option to find line segments that are not joined and have different values (ex.different address,code of roads).Results are exported in a temporary point gpkg.]]></about>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_IXVRtsH.png</icon>
        <author_name><![CDATA[Dimitra Pappa-Consortis Geospatial]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SnapIntegrator/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[dimitrapappa]]></uploaded_by>
        <create_date>2025-11-26T10:12:33.108460+00:00</create_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Consortis-Geospatial/SnapIntegrator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Consortis-Geospatial/SnapIntegrator]]></repository>
        <tags><![CDATA[topology,lines,roadnetwork,networkanalysis]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Data extraction for geological interpretation]]></description>
        <about><![CDATA[Data extraction from DEM, geological outcrops and structural points, for geological interpretation]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2026/icon_XVUzOob.png</icon>
        <author_name><![CDATA[Juan M Bernales]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sec_interp/version/3.4.0/download/</download_url>
        <uploaded_by><![CDATA[geociencio]]></uploaded_by>
        <create_date>2025-11-28T15:25:13.210498+00:00</create_date>
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        <repository><![CDATA[https://github.com/geociencio/sec_interp]]></repository>
        <tags><![CDATA[profile,geology,structural geology,dem,digitizing,topography,interpolation,cross-section,snapping,borehole,visualization,drillhole,exploration,interpretation,mining,subsurface]]></tags>
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        <server>False</server>
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        <description><![CDATA[Planning Renewable Energy Sustainability and Timing Organization]]></description>
        <about><![CDATA[The tool supports the definition of the potential user base of a REC through energy, environmental, economic and socio-demographic criteria. It allows scenarios to be generated that assess the compatibility between renewable energy production and the consumption of residential units belonging to the same basin, connected to the same primary distribution substation.]]></about>
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        <icon>/media/packages/2025/icon_WH4P3Yw.png</icon>
        <author_name><![CDATA[Valente R., Mozingo L.A., Giacobbe S., Maienza M.B., Bosco R.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PRESTO/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[savinogiacobbe]]></uploaded_by>
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        <repository><![CDATA[https://github.com/SavinoGiacobbe/PRESTO]]></repository>
        <tags><![CDATA[python]]></tags>
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        <server>False</server>
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        <about><![CDATA[Operational tool for calculating and displaying environmental and social indicators to support sustainable urban planning and design]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
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        <icon>/media/packages/2025/icon_f2yt6RL.png</icon>
        <author_name><![CDATA[Valente R., Mozingo L.A., Giacobbe S., Maienza M.B., Bosco R.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MIHA/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[savinogiacobbe]]></uploaded_by>
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        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/SavinoGiacobbe/MIHA]]></repository>
        <tags><![CDATA[python]]></tags>
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        <server>False</server>
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        <description><![CDATA[Clone QGIS projects with layers, styles, and data in a portable ZIP.]]></description>
        <about><![CDATA[This plugin allows you to fully duplicate and export any QGIS project, including paths, layer styles, raster/vector datasets, and configuration settings. Useful for backups, sharing, or migrating projects across machines.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://safidyratchat.github.io/projectcloner/]]></homepage>
        <file_name>packer.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_YdEeN3R.png</icon>
        <author_name><![CDATA[Safidy Ratolonandrasana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/packer/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[safidyrat]]></uploaded_by>
        <create_date>2025-12-01T08:26:25.948523+00:00</create_date>
        <update_date>2025-12-01T08:26:28.553778+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://safidyratchat.github.io/projectcloner/]]></tracker>
        <repository><![CDATA[https://github.com/SafidyRatChat/projectcloner/archive/refs/heads/main.zip/]]></repository>
        <tags><![CDATA[project,export,data,zip,qgis,backup,clone]]></tags>
        <downloads>588</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SeisPlotPy" version="1.0.0" plugin_id="4407">
        <description><![CDATA[2D SEG-Y (post-stack) data visualization, analysis, and interpretation inside QGIS.]]></description>
        <about><![CDATA[SeisPlotPy is a modern seismic viewer and interpretation tool integrated directly into QGIS. It loads SEG-Y data using segyio, displays seismic profiles with pyqtgraph, links navigation to the QGIS map canvas, and provides tools for interpretation, attribute computation, header editing, and export for further analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/arjun-vh/SeisPlotPy-QGIS]]></homepage>
        <file_name>SeisPlotPy.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_ZRYcFNw.png</icon>
        <author_name><![CDATA[Arjun V H]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SeisPlotPy/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[arjunvh]]></uploaded_by>
        <create_date>2025-12-01T08:51:49.902934+00:00</create_date>
        <update_date>2026-04-16T09:30:03.887089+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/arjun-vh/SeisPlotPy-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/arjun-vh/SeisPlotPy-QGIS]]></repository>
        <tags><![CDATA[seismic,geophysics,sub-bottom profiler,segy,subsurface,reflection]]></tags>
        <downloads>753</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bibliometric Analysis" version="1.1.0" plugin_id="4408">
        <description><![CDATA[Bibliometric Analysis is a QGIS Processing plugin for complete bibliometrics and Systematic Literature Review (SLR). It parses RIS and BibTeX files, builds structured bibliometric tables, generates publication trends, top journals, top authors, and top keywords. The plugin constructs keyword and co-authorship networks, performs SLR clustering using TF–IDF with KMeans or Spectral methods, and detects research gaps in Theme–Method–Region matrices and keyword co-occurrence pairs. The plugin also includes automatic country detection from RIS affiliations (C1, AD, C2), adds a &#x27;country&#x27; field to Article List outputs, generates Top 10 Countries charts, and optionally creates a world-country point layer using predefined centroids.]]></description>
        <about><![CDATA[This plugin provides a complete workflow for exploring and mapping the structure of scientific literature directly from reference metadata. It supports SLR autoscreening, PRISMA-style summaries, keyword trend analysis, Theme×Method and Theme×Region heatmaps, keyword gap scoring (Jaccard or PMI), and generates bibliometric visualizations in PNG. Country-level bibliometrics and geographical layers are automatically generated when affiliations contain identifiable locations. The plugin is designed for urban and regional planning, geography, and spatial sciences, but works for any field using RIS or BibTeX references.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/BibliometricAnalysis]]></homepage>
        <file_name>bibliometrik_slr_gapfinder_plus_heatmaps.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_7c3vXYD.png</icon>
        <author_name><![CDATA[Firman Afrianto, Nuryantiningsih Pusporini, Annisa Dira Hariyanto, Dimas Tri Rendragraha, Johan Wahyu Panuntun, Angga Anugerah Ardana, Maya Safira, Adipandang Yudono, Muhammad Sani Roychansyah, Yori Herwangi, Kiky Permana Setiawan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bibliometrik_slr_gapfinder_plus_heatmaps/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2025-12-01T09:06:35.542702+00:00</create_date>
        <update_date>2025-12-10T10:02:55.117883+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/BibliometricAnalysis/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/BibliometricAnalysis]]></repository>
        <tags><![CDATA[spatial planning,gap analysis,heatmap,urban planning,prisma,slr,bibliometrics,keyword network,systematic literature review,co-authorship,literature analysis,scientometrics,country detection]]></tags>
        <downloads>701</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Servizi Sinfi" version="1.0.2" plugin_id="4409">
        <description><![CDATA[Plugin per accedere ai servizi Sinfi da piattaforma QGIS]]></description>
        <about><![CDATA[Questo plugin permette di utilizzare alcuni dei servizi Sinfi accedendo tramite credenziali Sinfi o PDND.
Per poter utilizzare correttamente questo plugin sono necessari alcuni package esterni, come requests(requests&gt;=2.25.0) e jwt(PyJWT==2.8.0).
Alla prima installazione il plugin dovrebbe installare automaticamente le librerie indicate se non già presenti (potrebbe essere necessario chiudere e riaprire QGIS).
In caso sia necessaria un&#x27;installazione manuale si può seguire questa guida (per Windows): &lt;a href=&quot;https://landscapearchaeology.org/2018/installing-python-packages-in-qgis-3-for-windows/&quot;&gt;installing-python-packages-in-qgis-3-for-windows&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.5</qgis_minimum_version>
        <qgis_maximum_version>3.99.99</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sinfi-code/servizi_sinfi]]></homepage>
        <file_name>servizi_sinfi.1.0.2.zip</file_name>
        <icon>/media/packages/2026/logo_sinfi.png</icon>
        <author_name><![CDATA[Infratel Italia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/servizi_sinfi/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[infratel]]></uploaded_by>
        <create_date>2025-12-01T09:36:38.391384+00:00</create_date>
        <update_date>2026-01-09T07:55:36.174201+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sinfi-code/servizi_sinfi/issues]]></tracker>
        <repository><![CDATA[https://github.com/sinfi-code/servizi_sinfi]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>464</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Log Cleaner" version="1.0.0" plugin_id="4412">
        <description><![CDATA[Development tool that adds a clear button in the Message Log panel title bar]]></description>
        <about><![CDATA[A productivity tool for QGIS plugin developers. Integrates a clear button directly into the Message Log dock title bar, enabling rapid log cleanup during debugging and testing workflows. Native PyQt implementation with clean unload support.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yadda07/clean_log]]></homepage>
        <file_name>log_cleaner.1.0.0.zip</file_name>
        <icon>/media/packages/2026/clean_ZY8WYKl.svg</icon>
        <author_name><![CDATA[yadda]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/log_cleaner/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[yadda07]]></uploaded_by>
        <create_date>2025-12-01T14:30:03.264289+00:00</create_date>
        <update_date>2025-12-01T14:30:05.281737+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yadda07/clean_log/issues]]></tracker>
        <repository><![CDATA[https://github.com/yadda07/clean_log]]></repository>
        <tags><![CDATA[log,interface,utilities,message,journal,clean]]></tags>
        <downloads>280</downloads>
        <average_vote>4.570775603485216</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QRasterMerge" version="1.0.1" plugin_id="4415">
        <description><![CDATA[Seamless raster merging and blending]]></description>
        <about><![CDATA[Seamlessly merge overlapping rasters]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/uav4geo/QRasterMerge]]></homepage>
        <file_name>qraster_merge.1.0.1.zip</file_name>
        <icon>/media/packages/2025/qrastermerge_SqOtw18.svg</icon>
        <author_name><![CDATA[UAV4GEO]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qraster_merge/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[pierotofy]]></uploaded_by>
        <create_date>2025-12-01T21:57:36.510549+00:00</create_date>
        <update_date>2025-12-01T22:30:54.209259+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/uav4geo/QRasterMerge/issues]]></tracker>
        <repository><![CDATA[http://github.com/uav4geo/QRasterMerge]]></repository>
        <tags><![CDATA[raster,merge,orthophoto,blend,seamless,seamlessly]]></tags>
        <downloads>710</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NASA Power Downloader" version="1.0.0" plugin_id="4416">
        <description><![CDATA[Download NASA POWER climate parameters for a point or area and load into QGIS. Multi-parameter and multi-format (NETCDF/GeoTIFF/CSV/JSON).]]></description>
        <about><![CDATA[Powerful tool to access NASA POWER Data Access API in QGIS. Features: single point or bounding box download; map canvas click; 50+ parameters (precipitation, temperature, humidity, solar, wind); formats (NetCDF auto-loaded as raster, GeoTIFF, CSV, JSON); date range from 1981 to real-time; progress feedback. Perfect for agriculture, hydrology, renewable energy, climate research. No API key needed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wisekely/nasa-power-downloader]]></homepage>
        <file_name>nasa_power_downloader.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_GeHCNyv.png</icon>
        <author_name><![CDATA[Wise Kely]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nasa_power_downloader/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[wisekely]]></uploaded_by>
        <create_date>2025-12-01T22:34:26.700589+00:00</create_date>
        <update_date>2025-12-01T22:34:28.783234+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wisekely/nasa-power-downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/wisekely/nasa-power-downloader]]></repository>
        <tags><![CDATA[bounding box,netcdf,csv,json,nasa,climate,temperature,weather,geotiff,precipitation,power,wind,africa,solar,data download]]></tags>
        <downloads>1786</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Excel Auto Exporter" version="1.2.1" plugin_id="4418">
        <description><![CDATA[Automatically export QGIS vector layers to Excel (.xlsx) files on data changes]]></description>
        <about><![CDATA[Excel Auto Exporter monitors selected vector layers and automatically exports their attribute data to Excel (.xlsx) files whenever changes occur. Features include selective field export, custom output paths, multiple layer monitoring, and a user-friendly interface with layer search capabilities. Perfect for keeping Excel reports synchronized with your GIS data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CarlosMartinNavarro/ExcelAutoExporter]]></homepage>
        <file_name>excel_auto_exporter.1.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_vgDkwof.png</icon>
        <author_name><![CDATA[Carlos Martín Navarro]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/excel_auto_exporter/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[carlosmartinnavarro]]></uploaded_by>
        <create_date>2025-12-02T08:31:39.406748+00:00</create_date>
        <update_date>2026-02-28T14:41:49.741199+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CarlosMartinNavarro/ExcelAutoExporter/issues]]></tracker>
        <repository><![CDATA[https://github.com/CarlosMartinNavarro/ExcelAutoExporter]]></repository>
        <tags><![CDATA[python,excel,export,xlsx,spreadsheet,automation,monitoring,data export]]></tags>
        <downloads>2972</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="coords2polygon" version="1.0" plugin_id="4419">
        <description><![CDATA[Build polygon by inserting manual coordinates]]></description>
        <about><![CDATA[This plugin allow to build a polygon by inserting coordinates of the vertex. Otherwise, it allows to create rectangle by minimum/maximum latitude and longitude.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/GeoSeisUtilities/coords2polygon]]></homepage>
        <file_name>coords2polygon.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_6Sh4KWE.png</icon>
        <author_name><![CDATA[GeoSeisUtilities]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coords2polygon/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[geoseisutilities]]></uploaded_by>
        <create_date>2025-12-02T10:44:33.646716+00:00</create_date>
        <update_date>2025-12-02T10:44:35.784298+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/GeoSeisUtilities/coords2polygon/-/issues/new?type=ISSUE]]></tracker>
        <repository><![CDATA[https://gitlab.com/GeoSeisUtilities/coords2polygon]]></repository>
        <tags><![CDATA[vector,polygon,geometry,coordinates,rectangle,creation]]></tags>
        <downloads>802</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="openEO" version="2.0.2" plugin_id="4420">
        <description><![CDATA[Simplified access to openEO services.]]></description>
        <about><![CDATA[A plugin to access openEO compliant services such as CDSE. It integrates into the QGIS Browser and can inspect and visualize Collections, Batch Jobs and Web Services.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://openeo.org]]></homepage>
        <file_name>openeo_plugin.2.0.2.zip</file_name>
        <icon>/media/packages/2026/logo_w8HkgYl.png</icon>
        <author_name><![CDATA[moreGeo GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/openeo_plugin/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[mmohr]]></uploaded_by>
        <create_date>2025-12-02T11:32:21.313243+00:00</create_date>
        <update_date>2026-04-08T09:52:13.292847+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Open-EO/openeo-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Open-EO/openeo-qgis-plugin]]></repository>
        <tags><![CDATA[collections,web services,stac,openeo,batch jobs,cdse]]></tags>
        <downloads>1757</downloads>
        <average_vote>4.615029613106684</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PK Tools" version="1.0" plugin_id="4421">
        <description><![CDATA[Tools to identify, locate and measure distances between chainage (PKs) on linear layers with M-enabled geometry (LineStringM / MultiLineStringM).]]></description>
        <about><![CDATA[PK Tools brings together three chainage-based utilities in a single QGIS plugin for calibrated road networks:

🔹Identificar PK – Click on a road feature to obtain its road ID and chainage (PK).

🔹Localizar PK – Enter a road ID and PK to zoom to the exact location on the map, highlighted with a temporary marker.

🔹Distancia PK – Measure the distance between two PKs along the same road. The tool reports both the PK-based distance and the actual linear distance along the geometry, which is useful when the layer calibration does not match the PK difference exactly.

Additional features:

➕Shows point coordinates and provides a direct link to Street View.

➕Allows exporting identified points to a temporary point layer.

➕Uses temporary markers that are not stored as layers and are cleared when the tool is closed.

➕Simple configuration: choose the measure layer, road field and calibration units once; settings are remembered between projects.

Works with linear M-geometry layers (LineStringM / MultiLineStringM, with measure values along the geometry).

Ideal for road projects and mobility analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Javisionario/PK_tools]]></homepage>
        <file_name>pk_tools.1.0.zip</file_name>
        <icon>/media/packages/2025/identificar.png</icon>
        <author_name><![CDATA[Javi H Piris]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pk_tools/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[javisionario]]></uploaded_by>
        <create_date>2025-12-03T10:53:14.102398+00:00</create_date>
        <update_date>2025-12-03T10:53:16.105060+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Javisionario/PK_tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/Javisionario/PK_tools]]></repository>
        <tags><![CDATA[vector,network,road,chainage,linear referencing,streetview,street view,transport,route,mobility,kp,mileage,pk,m-values]]></tags>
        <downloads>839</downloads>
        <average_vote>4.899755012249387</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DataDownloader" version="1.1" plugin_id="4422">
        <description><![CDATA[Téléchargement de données depuis les serveurs IGN, BRGM et Copernicus]]></description>
        <about><![CDATA[Plugin de téléchargement par Styx (https://www.styx4d.com/). Permet le téléchargement de données vecteur et raster depuis les serveurs de l’IGN (MNS, MNT, MNH disponibles ainsi que toutes les données vectorielles libres), des données géologiques du BRGM et des images Sentinel-2 de Copernicus (compte nécessaire).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Styx4D/DataDownloader]]></homepage>
        <file_name>STYX_DL_plugin.1.1.zip</file_name>
        <icon>/media/packages/2026/styx_ico.png</icon>
        <author_name><![CDATA[Baratier]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/STYX_DL_plugin/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[abar]]></uploaded_by>
        <create_date>2025-12-04T07:23:52.099688+00:00</create_date>
        <update_date>2026-03-19T16:29:01.279609+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Styx4D/DataDownloader]]></tracker>
        <repository><![CDATA[https://github.com/Styx4D]]></repository>
        <tags><![CDATA[dem,sentinel,lidar,france,mnt,ign,brgm,mnh,mns]]></tags>
        <downloads>2387</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="geo_webview" version="3.10.3" plugin_id="4423">
        <description><![CDATA[Navigate QGIS map views through external permalink system; includes dynamic WMS/OpenLayers and MapLibre (WMTS/WFS with style injection) endpoints for remote navigation]]></description>
        <about><![CDATA[geo_webview は QGIS を軽量な OGC サーバー（WMS/WMTS/WFS）として起動し、QGIS の地図表示状態を外部から復元するパーマリンク機能を提供します。ドッキング可能なパネルからサーバーを起動し、`/wms`、`/wmts`、`/wfs`、`/qgis-map`、`/maplibre`、`/maplibre-style` 等のエンドポイントを公開します。詳細な使用法・ユースケースは `README_JP.md` を参照してください。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yamamoto-ryuzo/geo_webview]]></homepage>
        <file_name>geo_webview.3.10.3.zip</file_name>
        <icon>/media/packages/2026/icon_qCTMrLW.png</icon>
        <author_name><![CDATA[yamamoto-ryuzo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo_webview/version/3.10.3/download/</download_url>
        <uploaded_by><![CDATA[yamamotoryuzo]]></uploaded_by>
        <create_date>2025-12-04T09:17:48.833023+00:00</create_date>
        <update_date>2026-03-10T13:23:20.158530+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yamamoto-ryuzo/geo_webview]]></tracker>
        <repository><![CDATA[https://github.com/yamamoto-ryuzo/geo_webview]]></repository>
        <tags><![CDATA[map,layer,openlayers,excel,link,style,server,wms,google,pdf,view,webmap,ogc,gis,document,maps,integration,navigation,remote,wmts,theme,earth,maplibre,permalink,external,state,http,openlayers-map,wms-server,geo_suite]]></tags>
        <downloads>2938</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Extent Buffer" version="0.1" plugin_id="4425">
        <description><![CDATA[Retrieve the extent of the active layer and display an expanded buffer by a user-defined percentage.]]></description>
        <about><![CDATA[This plugin obtains the extent of the currently selected layer and displays a buffered extent calculated by a percentage value entered by the user. Useful for quick inspection of spatial margins.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-Extent-Buffer]]></homepage>
        <file_name>extent_buffer_pligin.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_XOKM5hd.png</icon>
        <author_name><![CDATA[Rikuto Arita]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/extent_buffer_pligin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[panyoricomeha]]></uploaded_by>
        <create_date>2025-12-04T10:46:52.757479+00:00</create_date>
        <update_date>2025-12-04T10:46:54.761066+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-Extent-Buffer/issues]]></tracker>
        <repository><![CDATA[https://github.com/panyoricomeha/QGIS-Plugin-Extent-Buffer]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>359</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IGN_Espace_Collaboratif" version="5.0.3" plugin_id="4426">
        <description><![CDATA[IGN reporting and contribution service, plugin QGIS3]]></description>
        <about><![CDATA[IGN reporting and contribution service]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://espacecollaboratif.ign.fr/plugins/qgis]]></homepage>
        <file_name>ign_espace_collaboratif.5.0.3.zip</file_name>
        <icon>/media/packages/2026/ign_3DYnO5z.png</icon>
        <author_name><![CDATA[IGN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ign_espace_collaboratif/version/5.0.3/download/</download_url>
        <uploaded_by><![CDATA[mmortier]]></uploaded_by>
        <create_date>2025-12-04T16:25:14.909508+00:00</create_date>
        <update_date>2026-04-13T09:22:19.710477+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IGNF/espace-collaboratif-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/IGNF/espace-collaboratif-qgis-plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1073</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="geodb.io" version="2.9.0" plugin_id="4429">
        <description><![CDATA[Connects to spatial data from geodb.io via api]]></description>
        <about><![CDATA[This plugin allows you connect to spatial data hosted at geodb.io including land holding, drill collars, point samples, field notes, and more.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geodb.io]]></homepage>
        <file_name>geodb.2.9.0.zip</file_name>
        <icon>/media/packages/2026/icon_Avn6lAs.png</icon>
        <author_name><![CDATA[geodb.io]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geodb/version/2.9.0/download/</download_url>
        <uploaded_by><![CDATA[geodb]]></uploaded_by>
        <create_date>2025-12-05T17:07:47.336379+00:00</create_date>
        <update_date>2026-04-02T13:12:43.112026+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/joswhite1/geodb-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/joswhite1/geodb-qgis-plugin]]></repository>
        <tags><![CDATA[python,database,geospatial,api,data sync]]></tags>
        <downloads>623</downloads>
        <average_vote>2.997002997002997</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Compress Raster" version="1.0" plugin_id="4430">
        <description><![CDATA[Tool to compress raster files using high efficiency DEFLATE compression]]></description>
        <about><![CDATA[Plugin to compress raster files (TIF, TIFF, ASC) using optimized DEFLATE compression algorithms. Allows individual file selection, custom output folder, and detailed compression statistics.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SDTC08/Compress-raster]]></homepage>
        <file_name>compress_raster.1.0.zip</file_name>
        <icon>/media/packages/2025/Comprimir_r%C3%A1ster.png</icon>
        <author_name><![CDATA[Damaris Toledo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/compress_raster/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[damtc]]></uploaded_by>
        <create_date>2025-12-06T03:21:15.916957+00:00</create_date>
        <update_date>2025-12-08T23:47:10.945390+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SDTC08/Compress-raster/issues]]></tracker>
        <repository><![CDATA[https://github.com/SDTC08/Compress-raster]]></repository>
        <tags><![CDATA[raster,processing,batch,optimization,compression,deflate]]></tags>
        <downloads>543</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Hotspot Analysis v3.0.1" version="3.0.2" plugin_id="4436">
        <description><![CDATA[Geographical cluster detection using LISA statistics (Getis-Ord Gi* and Local Moran’s I), fully modernized for QGIS 3.x with libpysal/esda.]]></description>
        <about><![CDATA[This plugin computes Local Indicators of Spatial Association (LISA) to detect statistically significant geographical clusters. Supported methods include Getis-Ord Gi*, Univariate Local Moran’s I, and Bivariate Local Moran’s I. Version 3 modernizes the entire analytical engine using libpysal/esda, ensuring correct Z-scores, p-values, q-values, robust KDTree distance estimation, improved matrix standardization, stability fixes for QGIS 3.x, and safer output generation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geografiadascoisas/HotSpotAnalysis_Plugin]]></homepage>
        <file_name>HotSpotAnalysis_v3.3.0.2.zip</file_name>
        <icon>/media/packages/2025/hotspot_frKuhh4.png</icon>
        <author_name><![CDATA[Abimael Cereda Junior (maintainer), based on original work by Daniele Oxoli, Gabriele Prestifilippo, Mayra Zurbaràn and Stanly Shaji]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/HotSpotAnalysis_v3/version/3.0.2/download/</download_url>
        <uploaded_by><![CDATA[ceredajunior]]></uploaded_by>
        <create_date>2025-12-08T14:32:11.121974+00:00</create_date>
        <update_date>2025-12-09T21:39:29.461498+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geografiadascoisas/HotSpotAnalysis_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/geografiadascoisas/HotSpotAnalysis_Plugin]]></repository>
        <tags><![CDATA[geography,spatial analysis,esda,hotspot,cluster detection,moran,libpysal,getis-ord,lisa]]></tags>
        <downloads>3982</downloads>
        <average_vote>4.36323970548132</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ProcessingPowerPack" version="v1.0" plugin_id="4437">
        <description><![CDATA[Processing plugin with extra algorithms]]></description>
        <about><![CDATA[The processing power pack]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis_processing_power_pack]]></homepage>
        <file_name>processing_power_pack.v1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Matthias Kuhn]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_power_pack/version/v1.0/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2025-12-08T15:30:21.977668+00:00</create_date>
        <update_date>2025-12-08T15:40:37.279313+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis_processing_power_pack]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis_processing_power_pack]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>832</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QNET" version="1.0.0" plugin_id="4438">
        <description><![CDATA[Surveying control networks adjustment]]></description>
        <about><![CDATA[QNET is QGIS plugin for least squares adjustment of surveying control networks. It enables adjustment with support for free adjustment and multiple weighting methods, including robust techniques that can handle outliers in the survey measurements.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mpredki99/QNET]]></homepage>
        <file_name>QNET.1.0.0.zip</file_name>
        <icon>/media/packages/2025/QNet.png</icon>
        <author_name><![CDATA[Michał Prędki]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QNET/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[openspatialcode]]></uploaded_by>
        <create_date>2025-12-08T20:57:04.836261+00:00</create_date>
        <update_date>2025-12-08T20:57:08.238994+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mpredki99/QNET/issues]]></tracker>
        <repository><![CDATA[https://github.com/mpredki99/QNET]]></repository>
        <tags><![CDATA[python,network,surveying,robust,controls,adjustment]]></tags>
        <downloads>527</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Databricks DBSQL Connector" version="1.3.0" plugin_id="4439">
        <description><![CDATA[Connect QGIS to Databricks SQL warehouses and access geospatial data directly from Unity Catalog]]></description>
        <about><![CDATA[A QGIS plugin that provides direct connectivity to Databricks SQL warehouses, allowing you to load and display geospatial data from Unity Catalog tables directly in QGIS.

Features:
- Direct Databricks SQL connection using personal access tokens
- Full support for GEOGRAPHY and GEOMETRY data types
- Live Layers: viewport-based auto-refresh for working with large datasets
- Browser Panel integration for browsing catalogs, schemas, and tables
- Custom SQL query support with automatic geometry detection
- Automatic handling of mixed geometry types (creates separate layers)
- Configurable layer naming with persistent settings
- Genie Chat: ask questions about your data in natural language
- Connection management with saved credentials
- QGIS 3.x and 4.x compatible (Qt5 and Qt6)

Requirements:
- Databricks SQL Warehouse access
- Personal Access Token with appropriate permissions
- Unity Catalog tables with GEOGRAPHY or GEOMETRY columns

Python Dependencies (installed automatically):
- databricks-sql-connector&gt;=3.5.0 (required)

For installation instructions and documentation, visit the GitHub repository.
https://github.com/danny-db/qgis-databricks-connector]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/danny-db/qgis-databricks-connector]]></homepage>
        <file_name>databricks_dbsql_connector.1.3.0.zip</file_name>
        <icon>/media/packages/2026/databricks_VVN9xEP.svg</icon>
        <author_name><![CDATA[Danny Wong]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/databricks_dbsql_connector/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[gnowynnad]]></uploaded_by>
        <create_date>2025-12-09T01:14:49.211601+00:00</create_date>
        <update_date>2026-03-12T23:23:05.871610+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/danny-db/qgis-databricks-connector/issues]]></tracker>
        <repository><![CDATA[https://github.com/danny-db/qgis-databricks-connector]]></repository>
        <tags><![CDATA[vector,sql,database,geospatial,spatial,chat,warehouse,unity catalog,databricks,natural language,live layer,viewport,genie]]></tags>
        <downloads>874</downloads>
        <average_vote>4.499550044995501</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DupliCheck" version="1.0.0" plugin_id="4440">
        <description><![CDATA[Interactive duplicate detection and management for vector layers (geometry and attributes)]]></description>
        <about><![CDATA[DupliCheck is an advanced duplicate detection plugin that gives users full control over which features to keep or remove. Unlike QGIS native tools that automatically delete duplicates, DupliCheck presents results interactively, allowing informed decisions based on geometry visualization, attribute comparison, and configurable priority criteria.

Key Features:
• Detect geometric duplicates (exact match or with tolerance)
• Detect attribute duplicates (single or multiple fields)
• Group-based management (handles N duplicates, not just pairs)
• Interactive visualization on QGIS main canvas
• Configurable priority rules (date, completeness, area, FID)
• Confidence scoring for each duplicate group
• Export reports (CSV, Excel, GeoPackage)
• Snapshot/restore capability for safe operations
• Multi-language support (FR, EN, ES, AR, DE, RU, IT, PT, ZH)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AzizT-dev/duplicheck]]></homepage>
        <file_name>duplicheck.1.0.0.zip</file_name>
        <icon>/media/packages/2025/duplicheck_Td0u4mv.png</icon>
        <author_name><![CDATA[Aziz TRAORE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/duplicheck/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[aziztdev]]></uploaded_by>
        <create_date>2025-12-09T01:52:09.526101+00:00</create_date>
        <update_date>2025-12-09T01:52:11.749393+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AzizT-dev/duplicheck/issues]]></tracker>
        <repository><![CDATA[https://github.com/AzizT-dev/duplicheck]]></repository>
        <tags><![CDATA[geometry,cadastre,attributes,duplicates,qa,mining,data cleaning,quality control]]></tags>
        <downloads>704</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Edit Tracking Tools" version="1.0.1" plugin_id="4442">
        <description><![CDATA[Lightweight edit-tracking and QC plugin for QGIS. Provides manual Auto Edit toggle, automatic edited/date recording, popup reminder for previously tracked layers, field creation, selection-based tools, NULL geometry cleanup, and a live statistics dock optimized for multi-layer digitizing without lag.]]></description>
        <about><![CDATA[Smart edit-tracking plugin for QGIS digitizing workflows with automatic edit flags, date tracking, popup reminders, and live QC statistics.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/renju94aj-cmd/edit-tracking-tools]]></homepage>
        <file_name>edit_tracking_tools.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_n2WlLXG.png</icon>
        <author_name><![CDATA[Renju A J]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/edit_tracking_tools/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[renju94aj]]></uploaded_by>
        <create_date>2025-12-10T04:25:02.867407+00:00</create_date>
        <update_date>2025-12-27T05:46:50.991433+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/renju94aj-cmd/edit-tracking-tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/renju94aj-cmd/edit-tracking-tools]]></repository>
        <tags><![CDATA[editing,update,digitizing,attributes,tracking,qc,monitoring,quality control,date tracking,production,auto edit]]></tags>
        <downloads>791</downloads>
        <average_vote>4.499437570303712</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS2VectorTiles" version="2.2" plugin_id="4443">
        <description><![CDATA[Pack a QGIS project into a styled vector tile package including a client-side stylesheet, sprites, and a ready-to-use MapLibre viewer.]]></description>
        <about><![CDATA[Pack QGIS project&#x27;s visible vector layers into a single vector tiles source (XYZ directory), a single vector tiles layer (.qlr), a client-side compatible style sheet (.json), sprites (.png &amp; .json) and a ready-to-use MapLibre viewer (.html).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gallpeters.github.io/QGIS2VectorTiles]]></homepage>
        <file_name>QGIS2VectorTiles.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_mPyOslS.png</icon>
        <author_name><![CDATA[Jossef Kanter]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS2VectorTiles/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[jokan]]></uploaded_by>
        <create_date>2025-12-10T12:36:16.365526+00:00</create_date>
        <update_date>2026-03-11T19:47:26.733223+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GallPeters/QGIS2VectorTiles]]></tracker>
        <repository><![CDATA[https://github.com/GallPeters/QGIS2VectorTiles]]></repository>
        <tags><![CDATA[web,openlayers,style,server,wms,service,tiles,services,styles,cartography,wmts,vector tiles,mapbox,sharing,maptiler,maplibre,webmappings]]></tags>
        <downloads>2559</downloads>
        <average_vote>4.999500049995</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SamGeo" version="1.2.0" plugin_id="4445">
        <description><![CDATA[Segment remote sensing images using SAM (Segment Anything Model) with text, point, and box prompts.]]></description>
        <about><![CDATA[A QGIS plugin for remote sensing image segmentation powered by Meta&#x27;s Segment Anything Model (SAM).
Features include:
- Text-based segmentation (describe what you want to segment)
- Interactive point prompts (click to segment objects)
- Box prompts (draw rectangles to segment regions)
- Save results as vector layers or GeoTIFF rasters
- Support for GeoTIFF and common image formats]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-samgeo-plugin]]></homepage>
        <file_name>samgeo.1.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_dHfzVyl.png</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/samgeo/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-10T12:47:07.782574+00:00</create_date>
        <update_date>2025-12-26T05:14:11.866958+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-samgeo-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-samgeo-plugin]]></repository>
        <tags><![CDATA[geospatial,remote sensing,machine learning,segmentation,deep learning,ai,sam]]></tags>
        <downloads>3563</downloads>
        <average_vote>4.28510212826739</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoAI" version="1.1.0" plugin_id="4446">
        <description><![CDATA[GeoAI plugin for QGIS providing AI-powered geospatial analysis including tree segmentation (DeepForest), water segmentation (OmniWaterMask), Moondream vision-language model, Segment Anything (SAM1/SAM2/SAM3), semantic segmentation, and instance segmentation (Mask R-CNN).]]></description>
        <about><![CDATA[This plugin provides AI-powered geospatial analysis tools:

Built-in Dependency Installer:
- One-click installation of all AI dependencies
- Automatic GPU detection (NVIDIA CUDA, Apple MPS)

Tree Segmentation (DeepForest):
- Detect tree crowns, birds, livestock, nests, and dead trees using pretrained models
- Run predictions on single images or large tiles with patch-based inference

Water Segmentation (OmniWaterMask):
- Automated water body detection from satellite and aerial imagery
- Output as raster or vector with optional OSM data integration

Moondream Vision-Language Model:
- Caption: Generate descriptions of geospatial imagery
- Query: Ask questions about images using natural language
- Detect: Detect and locate objects with bounding boxes
- Point: Locate specific objects with point markers

Segment Anything with SAM 3:
- Segment objects using text prompts (e.g., &quot;tree&quot;, &quot;building&quot;, &quot;road&quot;)
- Segment using point prompts (foreground/background) or box prompts drawn on the map
- Process multiple points interactively or from vector files/layers
- Save results as raster (GeoTIFF) or vector (GeoPackage, Shapefile) with optional regularization

Semantic Segmentation:
- Train custom segmentation models (U-Net, DeepLabV3+, FPN, etc.)
- Run inference on raster imagery
- Export results as vector or raster data

Instance Segmentation (Mask R-CNN):
- Train Mask R-CNN models for instance-level object detection and segmentation
- Run inference on raster imagery with vectorized output

Requires the geoai-py Python package and PyTorch. CUDA or MPS support recommended for optimal performance.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://opengeoai.org]]></homepage>
        <file_name>geoai.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_BrTs6Y5.png</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoai/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-11T14:18:04.796427+00:00</create_date>
        <update_date>2026-04-11T01:37:36.048708+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/geoai/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/geoai]]></repository>
        <tags><![CDATA[geospatial,remote sensing,machine learning,segmentation,deep learning,ai,deepforest,instance segmentation,object detection,vision language model,moondream,samgeo,mask rcnn,water segmentation]]></tags>
        <downloads>23307</downloads>
        <average_vote>4.752170334775799</average_vote>
        <rating_votes>113</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="blblcd" version="0.1" plugin_id="4448">
        <description><![CDATA[按地区归属下载哔哩哔哩视频评论 | Download Bilibili video comments by region.]]></description>
        <about><![CDATA[方便地按地区归属下载哔哩哔哩视频评论 | Download Bilibili video comments by region.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://codeberg.org/wsh233/blblcd_qgis]]></homepage>
        <file_name>blblcd.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_gClx3kd.png</icon>
        <author_name><![CDATA[WangShihan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/blblcd/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[wsh233]]></uploaded_by>
        <create_date>2025-12-12T17:03:34.641532+00:00</create_date>
        <update_date>2025-12-17T02:30:28.728174+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://codeberg.org/wsh233/blblcd_qgis/issues]]></tracker>
        <repository><![CDATA[https://codeberg.org/wsh233/blblcd_qgis]]></repository>
        <tags><![CDATA[web,search,webservice]]></tags>
        <downloads>156</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HyperCoast" version="0.5.0" plugin_id="4450">
        <description><![CDATA[Visualize and analyze hyperspectral data including EMIT, PACE, DESIS, NEON, AVIRIS, PRISMA, EnMAP, Tanager, and Wyvern datasets]]></description>
        <about><![CDATA[HyperCoast QGIS Plugin provides powerful tools for hyperspectral data visualization and analysis. Features include:
- Load and display various hyperspectral formats (EMIT, PACE, DESIS, NEON, AVIRIS, PRISMA, EnMAP, Tanager, Wyvern)
- Interactive band combination visualization
- Spectral signature inspection with click-to-plot functionality
- Export spectral profiles to CSV
- PCA analysis and visualization
- RGB composite creation with customizable wavelength selection]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://hypercoast.org]]></homepage>
        <file_name>hypercoast.0.5.0.zip</file_name>
        <icon>/media/packages/2026/hypercoast_z76sJLb.png</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hypercoast/version/0.5.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-12T20:15:34.002408+00:00</create_date>
        <update_date>2026-02-27T20:50:54.545499+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/HyperCoast/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/HyperCoast]]></repository>
        <tags><![CDATA[analysis,remote sensing,spectral,visualization,hyperspectral,emit,pace]]></tags>
        <downloads>964</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="X_STYLES" version="1.1.2" plugin_id="4452">
        <description><![CDATA[Automatische Zuweisung von Zeichenvorschriften für XPlanGML-Daten]]></description>
        <about><![CDATA[(Deutsch unten)
X_STYLES automatically applies standardized cartographic styles to XPlanGML urban planning data in QGIS. 
  It intelligently recognizes layer types and geometries, applying appropriate symbology according to the  
  XPlanung standard for German land-use plans (BP), preparatory land-use plans (FP), and regional spatial  
  plans (RP).    

-----
X_STYLES ist ein QGIS-Plugin zur automatischen Zuweisung von standardisierten Zeichenvorschriften (Styles) für XPlanGML-Dateien.
XPlanGML-Dateien beinhalten standardisierte Daten von Plänen der Raumordnung, Bauleitplanung und Landschaftsplanung.
Nach dem Import von GML-Daten in QGIS werden den Layern automatisch entsprechende Styles zugeordnet,
basierend auf dem XPlanung-Standard. Das Plugin unterstützt Bebauungspläne (BP), Flächennutzungspläne (FP)
und Regionale Raumordnungsprogramme (RP). Die Verwaltung der Styles erfolgt über eine externe YAML-Konfigurationsdatei,
die einfache Anpassungen ohne Änderung des Quellcodes ermöglicht.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PlanDigitalOSS/x_styles]]></homepage>
        <file_name>x_styles.1.1.2.zip</file_name>
        <icon>/media/packages/2026/X_STYLES_ZSPjQue.PNG</icon>
        <author_name><![CDATA[Cornelio Hopmann Lopez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/x_styles/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[plandigitaloss]]></uploaded_by>
        <create_date>2025-12-13T12:37:47.931123+00:00</create_date>
        <update_date>2026-03-13T08:47:36.485830+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PlanDigitalOSS/x_styles/issues]]></tracker>
        <repository><![CDATA[https://github.com/PlanDigitalOSS/x_styles]]></repository>
        <tags><![CDATA[style,symbology,xplanung,bebauungsplan,flächennutzungsplan,bauleitplanung,raumplanung,stadtplanung,xplangml]]></tags>
        <downloads>784</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MORPHINT: Urban Morphology and Intensity Analyzer" version="1.0.0" plugin_id="4453">
        <description><![CDATA[MORPHINT is a QGIS Processing plugin for analyzing urban morphology
and development intensity from building footprints and raster data.
It computes parcel-based intensity indicators such as Building Coverage Ratio (BCR),
Floor Area Ratio (FAR), and Open Space Ratio (OSR), and derives detailed
building morphometrics including compactness, shape index, elongation,
convexity, solidity, and fractal dimension.]]></description>
        <about><![CDATA[MORPHINT provides an integrated workflow to support urban and regional
planning analysis when parcel or cadastral data are incomplete or unavailable.
By generating parcels through Voronoi, grid, or Momepy tessellation,
the plugin enables planners to assess development intensity, urban form,
and spatial efficiency at parcel and building scales.
MORPHINT is designed for zoning evaluation, density and capacity analysis,
infill versus sprawl diagnostics, urban design review, and green space
screening using optional NDVI-based vegetation proportion.
The tool is particularly suited for strategic spatial planning (RTRW/RDTR),
urban morphology research, and data-driven planning studios.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/MORPHINT]]></homepage>
        <file_name>morphint_morphology_intensity_analyzer.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_Pdounro.png</icon>
        <author_name><![CDATA[Firman Afrianto, Maya Safira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/morphint_morphology_intensity_analyzer/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2025-12-13T14:53:24.679006+00:00</create_date>
        <update_date>2025-12-13T14:53:26.789065+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/MORPHINT/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/MORPHINT]]></repository>
        <tags><![CDATA[spatial planning,ndvi,urban planning,urban morphology,urban form,development intensity,building metrics,osr,morphometrics,zoning analysis,density analysis,far,parcel analysis,bcr]]></tags>
        <downloads>583</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HydroProfile" version="0.3.0" plugin_id="4454">
        <description><![CDATA[Hydraulic profile generator for QGIS water distribution networks based on QGISRed results.]]></description>
        <about><![CDATA[HydroProfile is a QGIS plugin that generates hydraulic profiles along a user-defined path in pressurized water distribution networks using layers produced in QGISRed projects. The user selects a sequence of nodes on the map to define a path, and the plugin computes the cumulative distance along the path using pipe geometries. It can plot (1) the terrain/elevation profile from network node elevation attributes, (2) a selected nodal hydraulic variable from the node results layer (e.g., pressure or hydraulic head), and (3) optionally a selected link variable from the link results layer (e.g., flow, velocity, headloss), positioned along each segment. The chart is interactive and can be exported as PNG/SVG, and the computed series can be exported to CSV for engineering analysis and reporting.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Evanderson-Aguiar/HydroProfile]]></homepage>
        <file_name>HydroProfile_V0_3_0.0.3.0.zip</file_name>
        <icon>/media/packages/2025/icon_NeVW5sh.png</icon>
        <author_name><![CDATA[Evanderson H. Aguiar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/HydroProfile_V0_3_0/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[evanderson]]></uploaded_by>
        <create_date>2025-12-13T16:13:21.986713+00:00</create_date>
        <update_date>2025-12-13T16:13:23.993818+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Evanderson-Aguiar/HydroProfile/issues]]></tracker>
        <repository><![CDATA[https://github.com/Evanderson-Aguiar/HydroProfile]]></repository>
        <tags><![CDATA[profile,network analysis,hydraulic,epanet,pressure,water distribution,qgisred,head]]></tags>
        <downloads>906</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="geo_report" version="2.2.6" plugin_id="4455">
        <description><![CDATA[Layout Item Selector and Pre-edit Tool for efficient layout management and template creation]]></description>
        <about><![CDATA[This comprehensive QGIS plugin enhances layout management by providing advanced selection and pre-editing capabilities. Key features include: Layout Selection &amp; Management for browsing project layouts and launching layout manager efficiently, Item Pre-editing for modifying layout item properties (position, size, content) before opening layout manager, Template System for saving entire layout properties as JSON templates and batch applying to other layouts, Workflow Optimization for creating multiple drawings and registers with unified design efficiently, and Multilingual Support with full English and Japanese language support. Perfect for cartographers and GIS professionals who need to create consistent, professional map series and documentation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yamamoto-ryuzo/geo_report]]></homepage>
        <file_name>geo_report.2.2.6.zip</file_name>
        <icon>/media/packages/2026/icon_v7uQm52.png</icon>
        <author_name><![CDATA[Yamamoto Ryuzo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo_report/version/2.2.6/download/</download_url>
        <uploaded_by><![CDATA[yamamotoryuzo]]></uploaded_by>
        <create_date>2025-12-14T06:25:41.322454+00:00</create_date>
        <update_date>2026-03-11T11:49:28.523654+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yamamoto-ryuzo/geo_report/issues]]></tracker>
        <repository><![CDATA[https://github.com/yamamoto-ryuzo/geo_report]]></repository>
        <tags><![CDATA[map,print,template,productivity,properties,workflow,item,batch,cartography,design,layout,manager]]></tags>
        <downloads>668</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="geo_import" version="V2.3.45" plugin_id="4456">
        <description><![CDATA[さまざまなデータセットを検索・追加できるQGISプラグインです / A QGIS plugin to search and add various datasets.]]></description>
        <about><![CDATA[さまざまなデータセットを検索・追加できるQGISプラグインです / A QGIS plugin to search and add various datasets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yamamoto-ryuzo/geo_import]]></homepage>
        <file_name>geo_import.V2.3.45.zip</file_name>
        <icon>/media/packages/2026/icon_lI63z7I.png</icon>
        <author_name><![CDATA[Ryuzo Yamamoto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo_import/version/V2.3.45/download/</download_url>
        <uploaded_by><![CDATA[yamamotoryuzo]]></uploaded_by>
        <create_date>2025-12-14T11:08:41.872666+00:00</create_date>
        <update_date>2026-03-10T13:18:36.009612+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yamamoto-ryuzo/geo_import/issues]]></tracker>
        <repository><![CDATA[https://github.com/yamamoto-ryuzo/geo_import]]></repository>
        <tags><![CDATA[search,opendata,ckan,integration,geonetwork,data catalog]]></tags>
        <downloads>566</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SmartLineLabeler" version="4.0.0" plugin_id="4457">
        <description><![CDATA[SmartLineLabeler is a QGIS plugin that automatically creates clean, readable, stacked labels for overlapping line features—ideal for utilities, telecom cables, pipelines, and any dense linear network. It lets you interactively draw label positions and generates a dedicated label layer with customizable HTML-styled text for professional cartographic output.]]></description>
        <about><![CDATA[✨ Key Features
- Stacked labels for overlapping lines:
  Automatically generates multi‑line label blocks for all features intersecting your drawn placement line.

- Interactive label placement:
  Draw a short “rubber band” line to define the exact position and angle of the label group.

- Dedicated label layer:
  Creates a temporary or permanent layer containing the generated labels, keeping your source data untouched.

- HTML-based label styling:
  Supports bold, color, multi-line formatting, and other HTML features for highly readable technical labels.

- Configurable attribute mapping:
  Choose which fields to include in the label and how they should be formatted.

- Ideal for utilities and infrastructure mapping:
  Works especially well for telecom cables, pipelines, fiber bundles, and other dense linear datasets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cxcandid/SmartLineLabeler]]></homepage>
        <file_name>SmartLineLabeler.4.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_2bCAh4O.svg</icon>
        <author_name><![CDATA[Christoph Candido]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SmartLineLabeler/version/4.0.0/download/</download_url>
        <uploaded_by><![CDATA[cxcandid]]></uploaded_by>
        <create_date>2025-12-14T13:30:11.133134+00:00</create_date>
        <update_date>2026-04-11T16:52:23.617947+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cxcandid/SmartLineLabeler/issues]]></tracker>
        <repository><![CDATA[https://github.com/cxcandid/SmartLineLabeler]]></repository>
        <tags><![CDATA[vector,line,labeling]]></tags>
        <downloads>510</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="xlsx furigana delete:Excel(xlsx)レイヤのふりがなを削除" version="1.0.2" plugin_id="4459">
        <description><![CDATA[This is a plugin that removes phonetic readings from Excel XLSX files. It removes phonetic readings from the attribute data of Excel layers added to the layer and updates the data.]]></description>
        <about><![CDATA[ExcelのXLSXファイルのふりがなを削除するプラグインです。レイヤに追加されたExcelレイヤの属性データからふりがなを削除して、データを更新します。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/koukita/xlsx_furigana_delete]]></homepage>
        <file_name>xlsx_furigana_delete.1.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_AiXyWDK.png</icon>
        <author_name><![CDATA[koichi kita]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xlsx_furigana_delete/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[koutochas]]></uploaded_by>
        <create_date>2025-12-14T15:10:08.422754+00:00</create_date>
        <update_date>2026-03-31T05:28:19.471505+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/koukita/xlsx_furigana_delete/issues]]></tracker>
        <repository><![CDATA[https://github.com/koukita/xlsx_furigana_delete]]></repository>
        <tags><![CDATA[python,excel,processing,xlsx]]></tags>
        <downloads>446</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="photo location by time:写真の位置をGPXの時間で推定" version="1.2.1" plugin_id="4460">
        <description><![CDATA[A plugin that estimates the location of a photo by matching the Exif information of the photo with the GPX time.]]></description>
        <about><![CDATA[写真のExif情報とGPX時刻を照合することで、写真の位置を推定するプラグイン。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/koukita/photo_location_by_time]]></homepage>
        <file_name>photo_location_by_time.1.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_kmrRmUV.png</icon>
        <author_name><![CDATA[koichi kita]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/photo_location_by_time/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[koutochas]]></uploaded_by>
        <create_date>2025-12-14T15:30:49.214323+00:00</create_date>
        <update_date>2026-03-08T03:16:46.972237+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/koukita/photo_location_by_time/issues]]></tracker>
        <repository><![CDATA[https://github.com/koukita/photo_location_by_time]]></repository>
        <tags><![CDATA[python,photo,gpx,processing,gnss]]></tags>
        <downloads>598</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UA IN4 importer" version="0.5" plugin_id="4462">
        <description><![CDATA[Import information from a Ukrainian cadastral exchange file (IN4)]]></description>
        <about><![CDATA[A QGIS plugin that imports Ukrainian cadastral exchange files (IN4) into QGIS as temporary in-memory layers.

Key features:
- Import one or multiple IN4 files in a single run.
- Automatic encoding detection (UTF-8 / Windows-1251).
- Parses core IN4 entities: cadastral zones, quarters, parcels, land-use parts, and neighbours.
- Builds separate temporary layers for each entity, plus diagnostic “orphan” layers to help troubleshoot broken/partial geometries.
- Attempts to assemble a cadastral ID when enough components are present.
- Groups imported layers into a dedicated project group with a timestamped name.
- Lets the user choose the coordinate reference system (CRS) before import.
- Logs parsing progress and anomalies via QGIS messages/logs.

Limitations / notes
- IN4 can vary in the wild; full compatibility is not guaranteed—always review the logs and results.
- Orphan layers are for debugging only and should not be treated as an official data source.
- Attributes are imported “as-is” from the IN4 file.
- Intended for QGIS 3.28+.
- For any official or legally relevant use, the imported output must be verified (and corrected if needed).

Feedback / support
- Report issues and suggestions: JD Help chat (Telegram): https://t.me/+eq7gtxjTXYBjZmUy

Credits
-Developed within the “Open Spatial Planning Tools for Ukraine” initiative.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/brych92/UA_IN4_Importer]]></homepage>
        <file_name>ua_in4_importer.0.5.zip</file_name>
        <icon>/media/packages/2025/icon_dYphmHK.png</icon>
        <author_name><![CDATA[Стьопа]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ua_in4_importer/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[brych92]]></uploaded_by>
        <create_date>2025-12-14T19:58:56.710043+00:00</create_date>
        <update_date>2025-12-14T19:58:59.033744+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/brych92/UA_IN4_Importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/brych92/UA_IN4_Importer]]></repository>
        <tags><![CDATA[]]></tags>
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        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TerraLink" version="1.7.0" plugin_id="4464">
        <description><![CDATA[QGIS plugin for ecological corridor generation and habitat connectivity analysis using raster and vector workflows.]]></description>
        <about><![CDATA[TerraLink identifies and optimizes ecological corridors connecting fragmented habitats using graph-based algorithms. Supports both raster (land cover grids) and vector (polygon patches) modes with optimization strategies (Largest Single Network, Most Connected Area, Landscape Fluidity, and Reachable Habitat), optional impassable land classes, budget constraints, and flexible patch definitions for conservation planning at multiple scales.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sorus-tools/TerraLink]]></homepage>
        <file_name>TerraLink.1.7.0.zip</file_name>
        <icon>/media/packages/2026/icon_B682ZQb.png</icon>
        <author_name><![CDATA[Ben Bishop]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TerraLink/version/1.7.0/download/</download_url>
        <uploaded_by><![CDATA[benjbishop]]></uploaded_by>
        <create_date>2025-12-14T22:28:31.293018+00:00</create_date>
        <update_date>2026-03-18T00:02:24.587134+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sorus-tools/TerraLink/issues]]></tracker>
        <repository><![CDATA[https://github.com/sorus-tools/TerraLink]]></repository>
        <tags><![CDATA[vector,ecology,raster,landscape,biodiversity,forest,graph,connectivity,planning,optimization,habitat,restoration,corridor,theory,conservation]]></tags>
        <downloads>1006</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tramos sobre track (25830)" version="1.0.0" plugin_id="4465">
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        <about><![CDATA[Proyecta el punto al track, recorre la longitud indicada y construye el tramo real sin depender de lineSubstring. Selector de CRS para la tabla, y unión de segmentos del track. Este plugin se ha generado para poder importar los datos de evaluación de itinerario para la tramitación de registro de itinerarios de la Generalitat Valenciana.

Projects the point onto the track, goes along the specified length, and builds the actual segment without relying on lineSubstring. Includes a CRS selector for the table and merges track segments. This plugin was created to import itinerary evaluation data for processing the itinerary registration of the Generalitat Valenciana.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pauarago/itinerarios_deportivos_gva]]></homepage>
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        <icon>/media/packages/2025/reshot-icon-road-tracking.png</icon>
        <author_name><![CDATA[Pau Aragó Galindo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/itinerarios_deportivos_gva/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[sanipau]]></uploaded_by>
        <create_date>2025-12-15T07:54:24.565360+00:00</create_date>
        <update_date>2025-12-15T07:54:27.881370+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pauarago/itinerarios_deportivos_gva/issues]]></tracker>
        <repository><![CDATA[https://github.com/pauarago/itinerarios_deportivos_gva]]></repository>
        <tags><![CDATA[gpx,tramos,itinerarios,gva]]></tags>
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        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="iNaturalist Import" version="2.2.0" plugin_id="4467">
        <description><![CDATA[Import iNaturalist observations with spatial filters and taxonomy enrichment. Two-table architecture for proper photo handling (EN) / Import d&#x27;observations iNaturalist avec filtres spatiaux et enrichissement taxonomique. Architecture deux tables pour gestion optimale des photos (FR)]]></description>
        <about><![CDATA[Plugin for importing iNaturalist biodiversity observations into QGIS. Allows circular area selection, filtering by date/user/taxon/quality, and automatic taxonomy enrichment using a local database. Bilingual interface (EN/FR). / Plugin pour importer des observations de biodiversité iNaturalist dans QGIS. Permet la sélection de zone circulaire, le filtrage par date/utilisateur/taxon/qualité, et l&#x27;enrichissement taxonomique automatique via une base de données locale. Interface bilingue (EN/FR).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yd73/iNaturalist_Import]]></homepage>
        <file_name>iNaturalist_Import.2.2.0.zip</file_name>
        <icon>/media/packages/2026/yd_icon_plugin_SeARyrX.png</icon>
        <author_name><![CDATA[Yves Durivault]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/iNaturalist_Import/version/2.2.0/download/</download_url>
        <uploaded_by><![CDATA[garsyves]]></uploaded_by>
        <create_date>2025-12-15T09:08:04.067186+00:00</create_date>
        <update_date>2026-02-06T13:11:39.906707+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yd73/iNaturalist_Import/issues]]></tracker>
        <repository><![CDATA[https://github.com/yd73/iNaturalist_Import]]></repository>
        <tags><![CDATA[ecology,species,import,biodiversity,observations,inaturalist,taxonomy]]></tags>
        <downloads>913</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FiberQ" version="1.2.1" plugin_id="4468">
        <description><![CDATA[Open-source fiber network design tools for QGIS (FTTH/GPON/FTTx)]]></description>
        <about><![CDATA[FiberQ helps telecom engineers and GIS professionals design, analyze, and document fiber optic networks inside QGIS. Version 1.2 adds productivity features: manhole ID auto-increment, an independent undo/redo system, repeat-last-command with double-space, and a Quick Toolbar for the 10 most-used tools. Some advanced features may require an activation key.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.fiberq.net/]]></homepage>
        <file_name>fiberq.1.2.1.zip</file_name>
        <icon>/media/packages/2026/fiberq_Pjqhz58.svg</icon>
        <author_name><![CDATA[Vladimir Vukovic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fiberq/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[vukovicvl]]></uploaded_by>
        <create_date>2025-12-15T12:42:02.427421+00:00</create_date>
        <update_date>2026-04-07T14:19:04.957512+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vukovicvl/fiberq/issues]]></tracker>
        <repository><![CDATA[https://github.com/vukovicvl/fiberq]]></repository>
        <tags><![CDATA[postgis,network,design,fiber,ftth,telecom,gpon,fttx]]></tags>
        <downloads>2742</downloads>
        <average_vote>4.666277810182485</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="plugin_translator" version="1.4.0" plugin_id="4469">
        <description><![CDATA[Automatic generation and translation of .ts/.qm files for QGIS plugins using Google Translate. Translation of HTML files used by the plugin is also possible.]]></description>
        <about><![CDATA[This plugin automatically generates translation files (.ts) for a QGIS plugin, translates them using Google Translate and generate .qm files. You can choose the plugin&#x27;s source language, so you no longer need to write your plugin text in English. It also allows you to translate an HTML file or an entire HTML folder. The plugin to be translated must have an i18n subfolder, and the strings must comply with Qt&#x27;s automatic translation rules.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fthvd/plugin_translator]]></homepage>
        <file_name>plugin_translator.1.4.0.zip</file_name>
        <icon>/media/packages/2026/icon_cn4nQWR.svg</icon>
        <author_name><![CDATA[François Thévand]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/plugin_translator/version/1.4.0/download/</download_url>
        <uploaded_by><![CDATA[fthvd]]></uploaded_by>
        <create_date>2025-12-15T17:37:18.441321+00:00</create_date>
        <update_date>2026-04-17T09:47:17.154570+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fthvd/plugin_translator/issues]]></tracker>
        <repository><![CDATA[https://github.com/fthvd/plugin_translator]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>720</downloads>
        <average_vote>3.713755177831738</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GtfsShapesCreator" version="1.0.2" plugin_id="4472">
        <description><![CDATA[Generates GTFS shapes.txt files by routing transit lines on OpenStreetMap road and rail networks, with current support for opentransportdata.swiss]]></description>
        <about><![CDATA[The GTFS Shapes Creator plugin for QGIS enables users to generate public transport routes from opentransportdata.swiss GTFS datasets using OpenStreetMap (OSM) road and rail networks. The plugin automatically computes the trajectories of buses, trams, trains, and funiculars between each pair of consecutive stops along their dedicated infrastructure. It provides a step-by-step workflow to:
- import the data,
- validate it,
- calculate the routes, and
- automatically generate the shapes.txt file (integrated back into the original GTFS), which can be used for visualization in MaaS applications, such as FlowRide.
Currently configured for the regions of Geneva, Nyon, and Morges (in Switzerland), the tool can be adapted for other cities upon request.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/skagejj/gtfs_shapes_creator]]></homepage>
        <file_name>gtfs_shapes_creator.1.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_ba6JC09.png</icon>
        <author_name><![CDATA[Luigi Dal Bosco]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gtfs_shapes_creator/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[skagejj]]></uploaded_by>
        <create_date>2025-12-15T23:54:57.140884+00:00</create_date>
        <update_date>2026-01-26T16:45:40.977290+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/skagejj/gtfs_shapes_creator/issues]]></tracker>
        <repository><![CDATA[https://github.com/skagejj/gtfs_shapes_creator]]></repository>
        <tags><![CDATA[routing,openstreetmap,osm,gtfs,public transport,transit,shapes.txt]]></tags>
        <downloads>754</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SOSI Import" version="1.3.0" plugin_id="4473">
        <description><![CDATA[Import SOSI and convert to GeoPackage, with support for missing/unknown KOORDSYS and Raster-SOSI (.RASTER) imagery.]]></description>
        <about><![CDATA[Select a SOSI file and save it as a GeoPackage. For missing or unknown KOORDSYS/BILDE-SYS you can manually choose the correct input CRS and optionally transform to another CRS (vector imports). Raster-SOSI (.RASTER-only) files are imported by generating georeferencing and loading the image via a GDAL VRT for reliable placement in QGIS. Spatial indexes are not built during import for better performance. Compatible with Qt6 (tested with QGIS 3.44.x).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tompreik-kv/sosi2gpkg]]></homepage>
        <file_name>sosi2gpkg.1.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_sosi2gpkg_Gc3va0b.svg</icon>
        <author_name><![CDATA[Tom-Erik Bakkely Aasheim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sosi2gpkg/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[tompreik1982]]></uploaded_by>
        <create_date>2025-12-16T14:14:03.064016+00:00</create_date>
        <update_date>2026-03-10T11:30:12.578214+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tompreik-kv/sosi2gpkg/issues]]></tracker>
        <repository><![CDATA[https://github.com/tompreik-kv/sosi2gpkg]]></repository>
        <tags><![CDATA[import,gdal,geopackage,gpkg,sosi,ogr2ogr,kartverket]]></tags>
        <downloads>1501</downloads>
        <average_vote>4.999807699703857</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geo Knowledge AI" version="1.9" plugin_id="4474">
        <description><![CDATA[Expert AI agents for global data discovery, geoscientific analysis, and PyQGIS code generation.]]></description>
        <about><![CDATA[This plugin integrates three specialized AI agents: Knowledge Q&amp;A, Data Search, and Code Generation. Its extensive knowledge base encompasses global geodata discovery, geoscientific modeling, hydrological and terrain analysis, remote sensing, and PyQGIS documentation. Additionally, it provides expert guidance on essential tools like GDAL, GRASS, and SAGA, streamlining your spatial analysis for maximum efficiency.

Fully supporting multiple languages—including English, français, italiano, Deutsch, español, 中文, русский, svenska, Nederlands, português, čeština, eesti, Indonesia, norsk bokmål, slovenščina, українська, polski, română, 日本語, العربية, Türkçe, magyar, 한국어.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/robert6757/qgis-geo-knowledge-ai]]></homepage>
        <file_name>geo_knowledge_ai.1.9.zip</file_name>
        <icon>/media/packages/2026/icon_5PF3w1A.png</icon>
        <author_name><![CDATA[phoenix-gis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo_knowledge_ai/version/1.9/download/</download_url>
        <uploaded_by><![CDATA[phoenixgis]]></uploaded_by>
        <create_date>2025-12-16T15:09:52.498398+00:00</create_date>
        <update_date>2026-04-09T04:09:12.798383+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/robert6757/qgis-geo-knowledge-ai]]></tracker>
        <repository><![CDATA[https://github.com/robert6757/qgis-geo-knowledge-ai]]></repository>
        <tags><![CDATA[ai,assistant,geo]]></tags>
        <downloads>3226</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Survey Helpline Pro" version="1.0.0" plugin_id="4475">
        <description><![CDATA[Survey &amp; Land Records and SVAMITVA, GIS automation toolkit for parcel, shapefile processing and map generation]]></description>
        <about><![CDATA[Survey Helpline Pro is a unified QGIS plugin designed to streamline and automate spatial data processing tasks required across various survey-related projects. The plugin provides dedicated workflows for Survey &amp; Land Records (SS&amp;LR) and Panchayat Raj (SVAMITVA) departments, ensuring consistent, error-free, and standardized outputs at every stage of the project lifecycle. Its primary purpose is to reduce manual effort, eliminate repetitive GIS operations, and provide survey teams with fast, reliable, and uniform tools for shapefile processing, parcel management, and other survey-related GIS functions. This tool automates the regeneration of SVAMITVA project shapefiles by guiding the user through a structured processing sequence. The user selects the polygon layer and required parameters through a simple dialog box. On clicking Run, the tool performs a series of predefined operations—cleaning, validating, merging, fixing geometry, and regenerating the final standardized shapefile. This ensures that all survey parcels follow uniform structure, naming conventions, attribute standardization, and topological consistency across all villages and projects.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PramodKumar-SIDHU/Survey-Helpline-Pro]]></homepage>
        <file_name>survey_helpline_pro.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_gZbzSIn.png</icon>
        <author_name><![CDATA[Batchu Pramod Kumar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/survey_helpline_pro/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[bpramod29]]></uploaded_by>
        <create_date>2025-12-17T05:25:17.781265+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PramodKumar-SIDHU/Survey-Helpline-Pro/issues]]></tracker>
        <repository><![CDATA[https://github.com/PramodKumar-SIDHU/Survey-Helpline-Pro]]></repository>
        <tags><![CDATA[vector,shapefile,geometry,topology,processing,validation,survey,gis,parcel,government,automation,svamitva,india,andhra-pradesh,sslr,panchayat-raj,parcel-map,land-records,ppn]]></tags>
        <downloads>313</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dynamic Field Calculator" version="1.1.0" plugin_id="4476">
        <description><![CDATA[Simultaneous updating of multiple attributes in a selected vector layer using QGIS expressions, all within a single panel (PL: Aktualizacja wielu atrybutów jednocześnie w wybranej warstwie wektorowej za pomocą wyrażeń QGIS, w jednym panelu)]]></description>
        <about><![CDATA[EN: Dynamic Field Calculator enables fast and simultaneous updating of multiple attributes in a selected vector layer, eliminating the need to repeatedly run the standard Field Calculator. The user selects a layer, chooses a set of fields for editing, and defines independent QGIS expressions for each of them within a single panel. The plugin also allows saving field and expression configurations, which streamlines repetitive operations in spatial data analysis and processing workflows.

PL: Dynamiczny Kalkulator Pól umożliwia szybkie i jednoczesne aktualizowanie wielu atrybutów w wybranej warstwie wektorowej, z pominięciem konieczności wielokrotnego uruchamiania standardowego Kalkulatora pól. Użytkownik wskazuje warstwę, wybiera zestaw pól do edycji i w jednym panelu definiuje dla każdego z nich niezależne wyrażenia QGIS. Wtyczka umożliwia także zapamiętywanie konfiguracji pól i wyrażeń, co usprawnia wykonywanie powtarzalnych operacji w procesach analizy i przetwarzania danych przestrzennych.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/michal-k-sikora/qgis-dynamiczny-kalkulator-pol]]></homepage>
        <file_name>Dynamiczny_kalkulator_pol.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_pka9c2I.svg</icon>
        <author_name><![CDATA[Michał Sikora]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Dynamiczny_kalkulator_pol/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[michalsikora]]></uploaded_by>
        <create_date>2025-12-17T07:14:24.867944+00:00</create_date>
        <update_date>2026-01-29T08:37:34.521900+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/michal-k-sikora/qgis-dynamiczny-kalkulator-pol/issues]]></tracker>
        <repository><![CDATA[https://github.com/michal-k-sikora/qgis-dynamiczny-kalkulator-pol]]></repository>
        <tags><![CDATA[calculator,fields,attributes,expressions,qgis,kalkulator pól,atrybuty,edytor,automatyzacja,smallgis,ongeo,dynamiczny]]></tags>
        <downloads>1031</downloads>
        <average_vote>4.399560043995601</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PngTile2Dem" version="1.9" plugin_id="4477">
        <description><![CDATA[Generate DEM GeoTIFF from numeric WebP elevation tiles]]></description>
        <about><![CDATA[PngTile2Dem: A powerful tool to create DEM GeoTIFFs by integrating various elevation tile sources across Japan. Supports GSI (Geospatial Information Authority), GSJ (AIST), Forestry Agency, and Zenkoku Q Chizu. Features parallel downloads, multi-source compositing, and any CRS output. / 全国Q地図、国土地理院、産総研、林野庁などが公開している各種数値標高タイルを統合し、任意の座標系でGeoTIFFを出力するプラグインです。並列処理による高速ダウンロードと、高精度な補完処理が特徴です。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yiwasa/png_tile_2_dem]]></homepage>
        <file_name>png_tile_2_dem.1.9.zip</file_name>
        <icon>/media/packages/2026/icon_1JWKJmM.png</icon>
        <author_name><![CDATA[Y. Iwasa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/png_tile_2_dem/version/1.9/download/</download_url>
        <uploaded_by><![CDATA[yiwasa]]></uploaded_by>
        <create_date>2025-12-18T05:35:31.827538+00:00</create_date>
        <update_date>2026-04-06T01:19:39.666913+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yiwasa/png_tile_2_dem]]></tracker>
        <repository><![CDATA[https://github.com/yiwasa/png_tile_2_dem]]></repository>
        <tags><![CDATA[raster,dem,terrain,elevation,japan,gsi,webp]]></tags>
        <downloads>1054</downloads>
        <average_vote>4.1244844394450695</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TetrisGame" version="1.1.0" plugin_id="4479">
        <description><![CDATA[An experimental and lightweight Tetris game embedded directly into QGIS 3.40+. Designed as a fun break during GIS work, this plugin demonstrates the flexibility of PyQGIS and PyQt for creating custom interactive interfaces within the QGIS environment. Not a GIS tool—just a playful tribute to classic gaming inside your geospatial workspace.]]></description>
        <about><![CDATA[游戏。联系人：槐中路科科 996517087@qq.com]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gaojunke/TetrisGame]]></homepage>
        <file_name>TetrisGame_updated.1.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[槐中路科科]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TetrisGame_updated/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[gaojunke]]></uploaded_by>
        <create_date>2025-12-20T03:11:32.166664+00:00</create_date>
        <update_date>2025-12-20T03:11:34.301689+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gaojunke/TetrisGame/issues]]></tracker>
        <repository><![CDATA[https://github.com/gaojunke/TetrisGame]]></repository>
        <tags><![CDATA[game]]></tags>
        <downloads>441</downloads>
        <average_vote>3.66625930452172</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Dual Viewer" version="1.0.1" plugin_id="4480">
        <description><![CDATA[Dual synchronized map canvases for side-by-side visual comparison in QGIS]]></description>
        <about><![CDATA[QGIS Dual Viewer provides two independent map canvases with real-time synchronized pan, zoom, and cursor position. Each view has its own independent layer panel, enabling effective side-by-side comparison of spatial datasets within QGIS. The latest version adds toolbar controls for docking, undocking, closing, and reopening the dual viewer for a smoother comparison workflow.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dk0885807-dotcom/QGISDualMapViewer]]></homepage>
        <file_name>QGISDualViewer.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon.png.png</icon>
        <author_name><![CDATA[Deepak Kumar; Surya Shankar Kaibartya]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGISDualViewer/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[dk0885807]]></uploaded_by>
        <create_date>2025-12-20T20:19:25.363824+00:00</create_date>
        <update_date>2026-01-29T18:38:21.948496+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dk0885807-dotcom/QGISDualMapViewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/dk0885807-dotcom/QGISDualMapViewer]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1484</downloads>
        <average_vote>4.562214861571151</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Grid Coordinate Generator" version="1.0.0" plugin_id="4482">
        <description><![CDATA[Automatically calculates optimal grid intervals for coordinate grids]]></description>
        <about><![CDATA[Tool to generate coordinate grids with automatically calculated intervals using the &quot;nice numbers&quot; method. Supports UTM, WGS84, General and Atlas modes. Eliminates trial-and-error when setting up coordinate grids in map layouts.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AzizT-dev/grid_coordinate_generator]]></homepage>
        <file_name>grid_coordinate_generator.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_VfGk9KK.png</icon>
        <author_name><![CDATA[Aziz TRAORE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/grid_coordinate_generator/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[aziztdev]]></uploaded_by>
        <create_date>2025-12-21T00:17:26.862289+00:00</create_date>
        <update_date>2025-12-21T00:17:28.840770+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AzizT-dev/grid_coordinate_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/AzizT-dev/grid_coordinate_generator]]></repository>
        <tags><![CDATA[map,atlas,grid,coordinates,cartography,graticule,layout,nice numbers]]></tags>
        <downloads>950</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bakgrunnskart" version="1.2.0" plugin_id="4483">
        <description><![CDATA[Legg til karttjenester fra Kartverket/Geonorge via en enkel katalog.]]></description>
        <about><![CDATA[Plugin som viser en liste med Kartverket/Geonorge sine karttjenester, lar deg velge bakgrunnskart og tilesets/projeksjoner fra GetCapabilities, og legger valgte lag inn i QGIS i en egen gruppe.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kartverket/bakgrunnskart]]></homepage>
        <file_name>bakgrunnskart.1.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_bakgrunnskart.svg</icon>
        <author_name><![CDATA[Tom-Erik Bakkely Aasheim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bakgrunnskart/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[tompreik1982]]></uploaded_by>
        <create_date>2025-12-21T11:50:13.978474+00:00</create_date>
        <update_date>2026-03-10T13:42:54.251133+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kartverket/bakgrunnskart/issues]]></tracker>
        <repository><![CDATA[https://github.com/kartverket/bakgrunnskart]]></repository>
        <tags><![CDATA[wms,wmts,geonorge,kartverket]]></tags>
        <downloads>861</downloads>
        <average_vote>4.99980000799968</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GE Live View" version="1.0.0" plugin_id="4484">
        <description><![CDATA[A QGIS plugin that synchronizes the QGIS map view with Google Earth Pro for real-time view updates.]]></description>
        <about><![CDATA[GE Live View allows real-time synchronization between QGIS and Google Earth Pro by exporting the current map view as a continuously updated KML file and linking it in Google Earth Pro as a Network Link.
Open Google Earth Pro
Launch Google Earth Pro and keep it running in the background.

Run the GE Live View plugin in QGIS
Open QGIS and load your layers, then activate GE Live View from the Plugins menu or toolbar. The plugin automatically generates a KML file on the Desktop (for example, GE_Live_View.kml).

Add the KML as a Network Link in Google Earth Pro
In Google Earth Pro, go to Add → Network Link, browse to the Desktop, select the generated KML file, and click OK.

Enable auto refresh (recommended)
Open the Network Link Properties and first select “Fly to view on refresh.” Then set the refresh mode to Periodically and set the refresh interval to 1 second so that Google Earth Pro updates continuously.

Set fly speed to fast (important)
Go to Tools → Options → Navigation in Google Earth Pro, set Fly-To Speed to Fast, and click Apply and OK.

Start live synchronization
Pan or zoom in QGIS and Google Earth Pro will update in real time. 

For normal use of Google Earth Pro, simply turn off or disable the Network Link.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dk0885807-dotcom/GELiveView]]></homepage>
        <file_name>ge_live_view.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_sTKeJZn.png</icon>
        <author_name><![CDATA[Deepak Kumar; Surya Shankar Kaibartya]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ge_live_view/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[dk0885807]]></uploaded_by>
        <create_date>2025-12-21T16:31:19.852243+00:00</create_date>
        <update_date>2025-12-21T16:31:21.838987+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dk0885807-dotcom/GELiveView/issues]]></tracker>
        <repository><![CDATA[https://github.com/dk0885807-dotcom/GELiveView]]></repository>
        <tags><![CDATA[google,google earth,GoogleEarthPro]]></tags>
        <downloads>1342</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CSV Geometry Import" version="1.1.0" plugin_id="4485">
        <description><![CDATA[Import CSV files with various geometry formats (WKT, WKB, GeoJSON, KML, Earth Engine, TopoJSON, X-Y coordinates) [must be in a column]. Part of the &quot;MAS Vector Processing Tools&quot;.]]></description>
        <about><![CDATA[Import CSV files containing geometry data in formats QGIS doesn&#x27;t natively support.

SUPPORTED FORMATS:
• WKT, WKB, EWKT, EWKB
• GeoJSON, KML, Earth Engine
• TopoJSON
• X-Y Coordinates (lat/lon columns)

KEY FEATURES:
• Output Options: Memory layer (default) or save to file
• Save to GeoPackage/Shapefile/GeoJSON for permanent layers
• Auto-detect geometry format and columns
• Preview CSV before import
• Skip or import invalid geometries
• Detailed report option for debugging:
- Creates _Null_Geom layer for empty geometry rows
- Creates _Invalid_Geom layer for parsing failures
• Custom CRS selection (default: EPSG:4326)
• Multiple encoding and delimiter options

HOW TO USE:
1. Menu: MAS Vector Processing → CSV Geometry Import
2. Or use toolbar button
3. Select CSV file and geometry column/format
4. Choose output type (memory or file)
5. Preview data and click Import]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/csv-geometry-import]]></homepage>
        <file_name>csv_geometry_import.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_RLgO92r.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/csv_geometry_import/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2025-12-21T17:01:45.621952+00:00</create_date>
        <update_date>2026-01-30T20:05:52.199135+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/csv-geometry-import/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/csv-geometry-import]]></repository>
        <tags><![CDATA[vector,wkt,kml,geometry,import,wkb,csv,coordinates,geojson,topojson,earth engine]]></tags>
        <downloads>2481</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Landsat Water Mask" version="1.4.3" plugin_id="4486">
        <description><![CDATA[Build Water/Land mask shapefiles from Landsat 4/5/7/8/9 (Reflectance &amp; QA_PIXEL); Sentinel-2 (FMASK); and OPERA (BWTR) layers. Water &#x27;Occurrence Over Time&#x27; via raster output.]]></description>
        <about><![CDATA[Multi Path/Row supported across Landsat, Sentinel, and OPERA products. All products are interoperable. Download supported datasets via USGS EarthExplorer &amp; NASA Earthdata — see &#x27;Quick Start Help&#x27; in Plugin for directories.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jakelongenecker93/Landsat-Water-Mask-QGIS-Plugin]]></homepage>
        <file_name>LandsatWaterMask.1.4.3.zip</file_name>
        <icon>/media/packages/2026/icon_eCzHsg1.png</icon>
        <author_name><![CDATA[Jake Longenecker]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LandsatWaterMask/version/1.4.3/download/</download_url>
        <uploaded_by><![CDATA[jakelongenecker]]></uploaded_by>
        <create_date>2025-12-21T19:50:54.688087+00:00</create_date>
        <update_date>2026-02-03T14:03:44.372786+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jakelongenecker93/Landsat-Water-Mask-QGIS-Plugin]]></tracker>
        <repository><![CDATA[https://github.com/jakelongenecker93/Landsat-Water-Mask-QGIS-Plugin]]></repository>
        <tags><![CDATA[&quot;gis&quot;,&quot;remote sensing&quot;,&quot;vectorization&quot;,&quot;reprojection&quot;,&quot;landsat&quot;,&quot;raster&quot;,&quot;epsg:4326&quot;,&quot;raster analysis&quot;,&quot;water mask&quot;,&quot;qgis plugin&quot;,&quot;geospatial&quot;,&quot;shapefile&quot;,&quot;processing toolbox&quot;,&quot;land water classification&quot;,&quot;water classification&quot;,&quot;polygonize&quot;,&quot;qa_pixel&quot;,&quot;opera&quot;,&quot;usgs earthexplorer&quot;,&quot;sentinel&quot;,&quot;fmask&quot;,&quot;hls&quot;,&quot;nasa earthdata&quot;,&quot;sentinel-2&quot;]]></tags>
        <downloads>1142</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WA Geo Data" version="1.3.0" plugin_id="4487">
        <description><![CDATA[The WA Geo Data plugin provides quick access to DMPE publicly available map services.]]></description>
        <about><![CDATA[The WA Geo Data plugin provides access to publicly available map services data published by the Western Australian Department of Mines, Petroleum and Exploration. © State of Western Australia (Department of Mines, Petroleum and Exploration) 2025.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://Jesse-Best.github.io/]]></homepage>
        <file_name>WAGeoData.1.3.0.zip</file_name>
        <icon>/media/packages/2026/wageodata_icon.png</icon>
        <author_name><![CDATA[Jesse Best]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/WAGeoData/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[jessebest2]]></uploaded_by>
        <create_date>2025-12-22T04:54:53.593952+00:00</create_date>
        <update_date>2026-01-06T06:45:19.881977+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Jesse-Best/WAGeoData/issues]]></tracker>
        <repository><![CDATA[https://github.com/Jesse-Best/WAGeoData]]></repository>
        <tags><![CDATA[python,web,geology,wms,service,webservice,maps,geoscience,australia,western australia,wa,dmpe,dmirs]]></tags>
        <downloads>994</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Usemaps" version="1.2" plugin_id="4488">
        <description><![CDATA[QGIS Plugin for connecting with Usemaps service]]></description>
        <about><![CDATA[Usemaps is a web-based GIS system that is used to store, edit, analyze, and visualize spatial data. It perfectly extends the benefits of QGIS to your organization, adding the ability to work &quot;in the cloud&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://usemaps.com/]]></homepage>
        <file_name>usemaps_plugin.1.2.zip</file_name>
        <icon>/media/packages/2026/connected_BDKILzc.png</icon>
        <author_name><![CDATA[GIS Support]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/usemaps_plugin/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[gissupport]]></uploaded_by>
        <create_date>2025-12-22T10:07:08.790402+00:00</create_date>
        <update_date>2026-04-07T10:28:04.035299+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gis-support/usemaps-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/gis-support/usemaps-qgis-plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>823</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Guirros StreetLens" version="1.0.0" plugin_id="4489">
        <description><![CDATA[Click on the map to open the location directly in Google Street View using an external browser]]></description>
        <about><![CDATA[Plugin that opens Google Street View from a map click in QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GU1RROS/GU1RROS-StreetLens]]></homepage>
        <file_name>guirros_streetlens.1.0.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Thiago Guirros]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/guirros_streetlens/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[guirros]]></uploaded_by>
        <create_date>2025-12-22T21:18:27.943213+00:00</create_date>
        <update_date>2025-12-22T21:18:30.052704+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GU1RROS/GU1RROS-StreetLens/issues]]></tracker>
        <repository><![CDATA[https://github.com/GU1RROS/GU1RROS-StreetLens]]></repository>
        <tags><![CDATA[google maps,location,street view,navigation,external browser]]></tags>
        <downloads>414</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BBox Visualizer" version="1.0.0" plugin_id="4491">
        <description><![CDATA[Visualize bounding boxes from coordinate inputs]]></description>
        <about><![CDATA[This plugin allows you to visualize bounding boxes by entering coordinates in the format minx,miny,maxx,maxy and selecting a CRS. It creates a temporary layer to display the bounding box.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://codeberg.org/gis-projects/BBox_Visualizer_for_QGIS]]></homepage>
        <file_name>bbox_visualizer.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_hqTwlpL.png</icon>
        <author_name><![CDATA[Michel Stuyts]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bbox_visualizer/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mstuyts]]></uploaded_by>
        <create_date>2025-12-23T10:13:53.191064+00:00</create_date>
        <update_date>2025-12-23T10:13:55.276991+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://codeberg.org/gis-projects/BBox_Visualizer_for_QGIS/issues]]></tracker>
        <repository><![CDATA[https://codeberg.org/gis-projects/BBox_Visualizer_for_QGIS]]></repository>
        <tags><![CDATA[bounding box,coordinates,bbox,visualization]]></tags>
        <downloads>542</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Advanced Map Downloader" version="1.0.0" plugin_id="4492">
        <description><![CDATA[Advanced map download tool with multiple coordinate input types, canvas drawing, and georeferenced output formats. Part of MAS Raster Processing tools.]]></description>
        <about><![CDATA[Professional map download tool for QGIS with advanced coordinate input options and multiple georeferenced export formats.
.
HOW TO USE:
1. Click the plugin icon in MAS Raster Processing toolbar or go to Raster - MAS Raster Processing - Advanced Map Downloader
2. Select coordinate input type from the dropdown (Lat-Long with Pixels, XYZ Tile, Square Grid, WKT, WKB, or GeoJSON)
3. Enter coordinates manually OR use canvas tools:
- Draw from Canvas: Click on map to capture point (for Lat-Long/Grid) or draw rectangle (for other modes)
- Use Canvas Extent: Capture current map view extent
4. Set resolution (GSD in meters/pixel)
5. Select the layer to download from
6. Choose export format (GeoTIFF, PNG+World, JPEG+World, or BMP+World)
7. Browse to select output file path
8. Click OK to download
.
COORDINATE INPUT TYPES:
- Lat-Long with Pixels: Center point with output dimensions and GSD
- XYZ Tiles: Download tiles by Z, X, Y coordinates
- Square Grid: Define area by center point and grid size with unit selection
- WKT: Well-Known Text polygon/rectangle geometry
- WKB: Well-Known Binary geometry as hex string
- GeoJSON: JSON-based geometry for download area
.
CANVAS TOOLS:
- Draw from Canvas: Click to capture point or draw rectangle based on input mode
- Use Canvas Extent: Capture current map extent as download area
- Real-time Rubber Band: Visual preview of selected download area (auto-cleared on close)
.
EXPORT FORMATS (All Georeferenced):
- GeoTIFF (.tif) - Default
- PNG with World File (.png + .pgw)
- JPEG with World File (.jpg + .jgw)
- BMP with World File (.bmp + .bpw)
.
Please rate this plugin based on your experience - your feedback motivates continued development!
For support, feature requests, or custom QGIS tools: mastools.help@gmail.com
MAS = Mirjan Ali Sha (plugin author)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/advanced_map_downloader]]></homepage>
        <file_name>advanced_map_downloader.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_BRgXQlo.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/advanced_map_downloader/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2025-12-24T20:57:57.915754+00:00</create_date>
        <update_date>2025-12-24T20:58:00.299739+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/advanced_map_downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/advanced_map_downloader]]></repository>
        <tags><![CDATA[wkt,raster,map,canvas,export,wkb,coordinates,geojson,download,imagery,georeferencing,xyz,geotiff]]></tags>
        <downloads>4441</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Notebook" version="0.6.0" plugin_id="4494">
        <description><![CDATA[Render and run Jupyter notebooks within QGIS in a dockable panel.]]></description>
        <about><![CDATA[QGIS Notebook allows you to open, render, and execute Jupyter notebooks directly within QGIS.

Features:
- Open and render Jupyter notebook (.ipynb) files
- Execute notebook cells with Python kernel
- View markdown and code cell outputs
- Dockable panel that can be positioned anywhere in the QGIS interface
- Syntax highlighting for code cells
- Support for notebook outputs including text, images, and HTML
- Integration with QGIS Python environment
- Auto-save and export functionality

Use this plugin to work with Jupyter notebooks without leaving QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-notebook-plugin]]></homepage>
        <file_name>qgis_notebook.0.6.0.zip</file_name>
        <icon>/media/packages/2026/icon_ZL2H5QK.svg</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_notebook/version/0.6.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-26T05:18:37.896903+00:00</create_date>
        <update_date>2026-02-18T19:22:19.889209+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-notebook-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-notebook-plugin]]></repository>
        <tags><![CDATA[python,analysis,jupyter,notebook,interactive,dockable]]></tags>
        <downloads>3153</downloads>
        <average_vote>4.9995833680526625</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Timelapse" version="0.8.0" plugin_id="4495">
        <description><![CDATA[Create timelapse animations from satellite and aerial imagery (NAIP, Landsat, Sentinel-2, Sentinel-1, GOES, and MODIS NDVI) using Google Earth Engine]]></description>
        <about><![CDATA[A QGIS plugin for creating timelapse animations from remote sensing imagery using Google Earth Engine.

Features:
- NAIP timelapse: High-resolution aerial imagery (US only, 2003-present)
- Landsat timelapse: Long-term satellite archive (1984-present)
- Sentinel-2 timelapse: Multispectral satellite imagery (2015-present)
- Sentinel-1 timelapse: SAR radar imagery (2014-present)
- MODIS NDVI: Vegetation phenology animations
- GOES: Weather satellite animations
- Define area of interest by drawing on map or using vector layers
- Customizable output settings (dimensions, FPS, text overlays)
- GIF and MP4 output formats
- Plugin update checker with automatic installation]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-timelapse-plugin]]></homepage>
        <file_name>timelapse.0.8.0.zip</file_name>
        <icon>/media/packages/2026/icon_Ga2ypGj.png</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/timelapse/version/0.8.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-26T05:43:09.034669+00:00</create_date>
        <update_date>2026-02-27T21:01:07.755355+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-timelapse-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-timelapse-plugin]]></repository>
        <tags><![CDATA[animation,landsat,remote sensing,sentinel,satellite,modis,goes,gif,earth engine,naip,timelapse]]></tags>
        <downloads>3650</downloads>
        <average_vote>4.999545495864012</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS-RRIM" version="2.1.0" plugin_id="4497">
        <description><![CDATA[Generate RRIM terrain layers and compose RRIM RGB outputs in QGIS]]></description>
        <about><![CDATA[Implements the Red Relief Image Map (RRIM) method proposed by Chiba, Kaneta &amp; Suzuki (2008) for high-detail terrain visualization and geomorphological interpretation. The plugin provides a RRIM Generator for slope and differential openness layers, plus a separate RRIM RGB Composer for RGB composition workflows, optimized for high-resolution DEMs, particularly LiDAR-derived datasets. The RRIM Generator requires the RVT plugin because differential openness is computed with RVT tools.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gisgeo.dev/portfolio/qgis-rrim/]]></homepage>
        <file_name>qgis_rrim.2.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_OLWWTQf.png</icon>
        <author_name><![CDATA[Jordan Zavaleta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_rrim/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[jordanzav]]></uploaded_by>
        <create_date>2025-12-27T05:04:57.703675+00:00</create_date>
        <update_date>2026-04-03T01:39:25.054238+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jordan-zav/QGIS-RRIM/issues]]></tracker>
        <repository><![CDATA[https://github.com/jordan-zav/QGIS-RRIM]]></repository>
        <tags><![CDATA[geomorphology,dem,lidar,rrim,geomorphometry,terrain_analysis]]></tags>
        <downloads>398</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Calculator" version="1.0.0" plugin_id="4499">
        <description><![CDATA[A powerful map algebra raster calculator with professional-grade expression support. Part of MAS Raster Processing tools.]]></description>
        <about><![CDATA[A powerful raster calculator that provides professional Map Algebra functionality.
Features:
- Interactive expression builder with numeric keypad and operators
- Support for multiple input raster layers
- Conditional functions: Con, Pick, SetNull
- Math functions: Abs, Exp, Log, Sqrt, Sin, Cos, Tan, and more
- Comparison and logical operators
- Available as both GUI tool and Processing algorithm

How to use:
1. Open the Raster Calculator from Raster &gt; MAS Raster Processing &gt; Raster Calculator
2. Double-click on layers to add them to your expression
3. Use the buttons to build your map algebra expression
4. Select output location and click Calculate

Part of MAS** Raster Processing toolbox.
** MAS refers to &quot;Mirjan Ali Sha&quot;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/raster_calculator/wiki]]></homepage>
        <file_name>raster_calculator.1.0.0.zip</file_name>
        <icon>/media/packages/2025/raster_calculator_7Vc8XF4.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raster_calculator/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2025-12-28T15:23:19.311483+00:00</create_date>
        <update_date>2025-12-28T15:23:21.310212+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/raster_calculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/raster_calculator]]></repository>
        <tags><![CDATA[calculator,raster,analysis,processing,map algebra,conditional,raster calculator,math]]></tags>
        <downloads>1428</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MAS Spatial Analysis Tool" version="1.2.0" plugin_id="4500">
        <description><![CDATA[Comprehensive DEM analysis toolkit with 45+ hydrological, geomorphometric, and stream network tools. Numba-accelerated for fast processing.]]></description>
        <about><![CDATA[Professional-grade terrain analysis toolkit for QGIS featuring:

• Hydrological Analysis: D8 flow direction, flow accumulation, watershed delineation, depression filling, flow indices (TWI, SPI), flow distance/length, basin analysis

• Geomorphometric Analysis: Slope, aspect, curvature, hillshade, roughness, TPI, openness, visibility analysis, hypsometric analysis

• Stream Network: Stream extraction, Strahler/Shreve ordering, stream links, vectorization, gap joining, valley extraction

• Structured Workflow: Organized tools following standard hydrology analysis workflow

Key Features:
- Numba JIT acceleration for 10-100x faster processing
- Standard D8 flow direction encoding (industry-compatible)
- Automatic symbology for flow direction and stream order
- NoData handling with -9999 standard

How to Use:
1. Open Processing Toolbox (Ctrl+Alt+T)
2. Expand &quot;MAS Spatial Analysis Tool&quot;
3. Select algorithm category (Hydrological, Geomorphometric, Stream Network)
4. Double-click tool to run
5. Typical workflow: Fill DEM → Flow Direction → Flow Accumulation → Extract Streams]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/mas_spatial_analysis_tool/wiki]]></homepage>
        <file_name>mas_spatial_analysis_tool.1.2.0.zip</file_name>
        <icon>/media/packages/2025/mas_icon_RllIpT0.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mas_spatial_analysis_tool/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2025-12-28T16:56:57.980860+00:00</create_date>
        <update_date>2025-12-31T18:35:48.626580+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/mas_spatial_analysis_tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/mas_spatial_analysis_tool]]></repository>
        <tags><![CDATA[flow,geomorphology,hydrology,dem,slope,terrain,processing,stream,direction,hillshade,spatial-analysis,watershed,accumulation,aspect,curvature,numba,stream-network-analysis,hydrological-analysis,geomorphometric-analysis]]></tags>
        <downloads>1670</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Leafmap" version="0.3.0" plugin_id="4506">
        <description><![CDATA[A QGIS plugin for interactive layer comparison with transparency control and swipe tools.]]></description>
        <about><![CDATA[Leafmap is a QGIS plugin that provides powerful tools for layer visualization and comparison.

Features:
- Interactive layer transparency control with real-time preview
- Swipe tool for comparing two layers side-by-side (similar to ipyleaflet split control)
- Dockable panels that can be positioned anywhere in the QGIS interface
- Plugin update checker that fetches the latest version from GitHub
- Settings panel for configuring plugin options

This plugin is inspired by the Python leafmap package and brings similar
layer comparison capabilities to the QGIS desktop environment.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-leafmap-plugin]]></homepage>
        <file_name>qgis_leafmap.0.3.0.zip</file_name>
        <icon>/media/packages/2026/logo_0WxxSdX.png</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_leafmap/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-30T14:08:41.884216+00:00</create_date>
        <update_date>2026-01-28T16:18:45.246026+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-leafmap-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-leafmap-plugin]]></repository>
        <tags><![CDATA[map,transparency,split,layers,swipe,compare,visualization,leafmap]]></tags>
        <downloads>2751</downloads>
        <average_vote>4.599080183963207</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geemap" version="0.3.0" plugin_id="4507">
        <description><![CDATA[A QGIS plugin that integrates geemap for working with Google Earth Engine data.]]></description>
        <about><![CDATA[QGIS Geemap brings the power of geemap and Google Earth Engine to QGIS.

Features:
- Add Earth Engine Image and ImageCollection layers to QGIS
- Add Earth Engine FeatureCollection layers as vector data
- Use familiar geemap Map API within QGIS
- Interactive map controls for center, zoom, and bounds
- Full compatibility with existing geemap code

This plugin allows you to use code like:

import ee
import geemap

m = geemap.Map(center=(40, -100), zoom=4)
dem = ee.Image(&quot;USGS/SRTMGL1_003&quot;)
m.add_layer(dem, {&quot;min&quot;: 0, &quot;max&quot;: 4000, &quot;palette&quot;: [&quot;green&quot;, &quot;white&quot;]}, &quot;DEM&quot;)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-geemap-plugin]]></homepage>
        <file_name>qgis_geemap.0.3.0.zip</file_name>
        <icon>/media/packages/2026/logo_8xGX0FE.png</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_geemap/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-30T14:09:15.151325+00:00</create_date>
        <update_date>2026-02-27T18:14:35.380837+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-geemap-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-geemap-plugin]]></repository>
        <tags><![CDATA[google,remote sensing,gis,satellite,gee,earth engine,geemap]]></tags>
        <downloads>3237</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Maxar Open Data" version="0.2.0" plugin_id="4508">
        <description><![CDATA[Browse and visualize Maxar Open Data satellite imagery for disaster events directly in QGIS.]]></description>
        <about><![CDATA[This plugin provides access to the Maxar Open Data Program, which offers pre- and post-event high-resolution satellite imagery for emergency planning, risk assessment, monitoring of staging areas and emergency response, damage assessment, and recovery.

Features:
- Browse available disaster events with satellite imagery
- View and filter imagery footprints on the map
- Load and visualize Cloud Optimized GeoTIFFs (COG) directly
- Filter imagery by date, cloud cover, platform, and more
- Support for visual (RGB), multispectral, and panchromatic imagery
- Download imagery for selected footprints
- Automatic updates from GitHub

Data Source: https://www.maxar.com/open-data
GitHub Catalog: https://github.com/opengeos/maxar-open-data]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-maxar-plugin]]></homepage>
        <file_name>maxar_open_data.0.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_O6UFmww.svg</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/maxar_open_data/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-30T14:09:56.960362+00:00</create_date>
        <update_date>2026-01-10T17:20:44.867593+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-maxar-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-maxar-plugin]]></repository>
        <tags><![CDATA[disaster,satellite,imagery,open data,stac,cog,maxar,emergency,cloud optimized geotiff]]></tags>
        <downloads>3889</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Earth Engine Data Catalogs" version="0.9.1" plugin_id="4509">
        <description><![CDATA[Browse, search, and load Google Earth Engine data catalogs directly in QGIS.]]></description>
        <about><![CDATA[A comprehensive plugin for exploring and loading Google Earth Engine datasets in QGIS.

Features:
- Browse the complete GEE Data Catalog with categorized datasets
- Search datasets by keywords, tags, and providers
- Filter data by bounding box, date range, and cloud cover
- Preview dataset metadata and visualization parameters
- Load EE Image, ImageCollection, and FeatureCollection directly to QGIS
- Integration with qgis-geemap-plugin for advanced functionality
- Customizable visualization parameters
- Support for temporal filtering on ImageCollections
- Export capabilities for loaded datasets

Use this plugin to efficiently discover and visualize Earth Engine data in QGIS.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-gee-data-catalogs-plugin]]></homepage>
        <file_name>gee_data_catalogs.0.9.1.zip</file_name>
        <icon>/media/packages/2026/icon_1B90qI4.svg</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gee_data_catalogs/version/0.9.1/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-30T14:12:33.095334+00:00</create_date>
        <update_date>2026-03-02T22:31:50.952433+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-gee-data-catalogs-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-gee-data-catalogs-plugin]]></repository>
        <tags><![CDATA[google,geospatial,remote sensing,data,catalog,satellite,imagery,gee,earth engine]]></tags>
        <downloads>10209</downloads>
        <average_vote>4.812199237547653</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NASA OPERA" version="0.7.0" plugin_id="4510">
        <description><![CDATA[Search and visualize NASA OPERA (Observational Products for End-Users from Remote Sensing Analysis) satellite data products.]]></description>
        <about><![CDATA[NASA OPERA Plugin for QGIS provides an intuitive interface for searching and visualizing
NASA OPERA data products directly in QGIS.

OPERA (Observational Products for End-Users from Remote Sensing Analysis) is a NASA project
that provides analysis-ready data products derived from satellite observations.

Available Datasets:
- DSWX-HLS: Dynamic Surface Water Extent from Harmonized Landsat Sentinel-2
- DSWX-S1: Dynamic Surface Water Extent from Sentinel-1
- DIST-ALERT-HLS: Land Surface Disturbance Alert from HLS
- DIST-ANN-HLS: Land Surface Disturbance Annual from HLS
- RTC-S1: Radiometric Terrain Corrected SAR Backscatter from Sentinel-1
- CSLC-S1: Coregistered Single-Look Complex from Sentinel-1

Features:
- Search OPERA products by location, date range, and dataset type
- Display search result footprints as vector layers
- Visualize OPERA raster data directly in QGIS
- Automatic authentication with NASA Earthdata
- Plugin update checker

Requirements:
- Python packages: earthaccess, geopandas, shapely, pandas
- NASA Earthdata account (free registration at https://urs.earthdata.nasa.gov)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-nasa-opera-plugin]]></homepage>
        <file_name>nasa_opera.0.7.0.zip</file_name>
        <icon>/media/packages/2026/opera_ACMiWlV.svg</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nasa_opera/version/0.7.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-30T14:13:06.755972+00:00</create_date>
        <update_date>2026-04-16T04:35:45.700011+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-nasa-opera-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-nasa-opera-plugin]]></repository>
        <tags><![CDATA[water,landsat,remote sensing,sentinel,sar,satellite,nasa,disturbance,dswx,earthdata,hls,opera,surface water]]></tags>
        <downloads>1254</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NASA Earthdata" version="0.6.0" plugin_id="4511">
        <description><![CDATA[Search, visualize, and download NASA Earthdata products in QGIS. Supports COG visualization and data footprint display.]]></description>
        <about><![CDATA[NASA Earthdata Plugin for QGIS enables searching, visualizing, and downloading data from NASA&#x27;s Earthdata catalog.

Features:
- Search NASA Earthdata catalog with keywords, bounding box, and temporal filters
- Visualize Cloud Optimized GeoTIFFs (COG) directly in QGIS
- Display data footprints on the map
- Download non-COG data for local visualization
- Support for multiple NASA data products including GEDI, MODIS, Landsat, and more
- Earthdata Login integration for authenticated access
- Settings panel for configuring credentials and preferences

Requirements:
- NASA Earthdata account (register at https://urs.earthdata.nasa.gov/)
- Python packages: earthaccess, geopandas]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-nasa-earthdata-plugin]]></homepage>
        <file_name>nasa_earthdata.0.6.0.zip</file_name>
        <icon>/media/packages/2026/icon_DsfJsiz.svg</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nasa_earthdata/version/0.6.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-30T14:13:28.646358+00:00</create_date>
        <update_date>2026-02-27T12:42:15.490657+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-nasa-earthdata-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-nasa-earthdata-plugin]]></repository>
        <tags><![CDATA[landsat,remote sensing,download,satellite,nasa,visualization,modis,cog,cloud optimized geotiff,earthdata,gedi]]></tags>
        <downloads>5551</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Whitebox AI Agent" version="0.1.0" plugin_id="4512">
        <description><![CDATA[An AI-powered agent for running WhiteboxTools through natural language using Ollama/Claude/OpenAI/Gemini.]]></description>
        <about><![CDATA[This plugin enables natural language interaction with WhiteboxTools processing algorithms.

Features:
- Chat-style interface for natural language queries
- Automatic algorithm discovery from QGIS Processing registry
- Multiple LLM backends: Ollama, Claude, OpenAI, Gemini
- Smart parameter validation and layer detection
- Automatic output loading to QGIS project
- Safe, deterministic execution through QgsProcessing

Simply describe what geospatial analysis you want to perform, and the AI agent
will select the appropriate WhiteboxTools algorithm and execute it for you.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-whitebox-agent]]></homepage>
        <file_name>whitebox_agent.0.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_Lv6eIST.svg</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/whitebox_agent/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-30T14:13:56.829335+00:00</create_date>
        <update_date>2025-12-30T14:13:59.240369+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-whitebox-agent/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-whitebox-agent]]></repository>
        <tags><![CDATA[hydrology,terrain,ai,llm,whiteboxtools,geomorphometry,agent,natural language,whitebox]]></tags>
        <downloads>1373</downloads>
        <average_vote>1.9999393957758858</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bathymetrix-AI" version="4.3" plugin_id="4513">
        <description><![CDATA[An advanced Machine Learning pipeline for Satellite-Derived Bathymetry (SDB). Features ICESat-2 integration, In-Situ Data filtering, and Spatial Residual Stacking.]]></description>
        <about><![CDATA[&lt;h3&gt;Bathymetrix-AI: Advanced SDB Modeling &amp; Spatial Refinement&lt;/h3&gt;
&lt;p&gt;&lt;b&gt;Bathymetrix-AI&lt;/b&gt; is a specialized QGIS research toolkit designed to derive high-precision bathymetry from corrected multispectral satellite imagery (e.g., Sentinel-2 L2A). It systematically integrates physics-based corrections with data-driven Machine Learning to overcome traditional SDB limitations.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Core Workflow (The 4-Phase System):&lt;/b&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;b&gt;1. Automated Pre-processing:&lt;/b&gt; Sun-glint removal (Hedley), dynamic water masking (Otsu), and physics-based feature generation (Log-Ratios).&lt;/li&gt;
&lt;li&gt;&lt;b&gt;2. Robust Altimetry Filtering:&lt;/b&gt; Uses &lt;b&gt;different algorithms&lt;/b&gt; to clean ICESat-2 (ATL24) data by identifying high-confidence inliers and removing environmental noise.&lt;/li&gt;
&lt;li&gt;&lt;b&gt;3. Global Auto-ML Modeling:&lt;/b&gt; Competitive benchmarking of &lt;b&gt;11 ML algorithms&lt;/b&gt; with Randomized Hyperparameter Optimization to find the optimal global depth function.&lt;/li&gt;
&lt;li&gt;&lt;b&gt;4. Spatial Residual Stacking:&lt;/b&gt; Enhances accuracy by analyzing prediction residuals and re-training the model with a &lt;b&gt;Stacked Error Surface&lt;/b&gt; to correct local biases.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;b&gt;Key References:&lt;/b&gt;&lt;br&gt;
- &lt;b&gt;Stumpf et al. (2003):&lt;/b&gt; Log-Ratio Algorithm for SDB inversion.&lt;br&gt;
- &lt;b&gt;Hedley et al. (2005):&lt;/b&gt; Physics-based sun-glint correction.&lt;br&gt;
- &lt;b&gt;Fischler &amp; Bolles (1981):&lt;/b&gt; RANSAC algorithm for ICESat-2 data filtering.&lt;br&gt;
- &lt;b&gt;Zhang et al., (2021):&lt;/b&gt; LS Variance Fit, or Huber Variance Fit for ICESat-2 data filtering.&lt;br&gt;
- &lt;b&gt;Alevizos (2020):&lt;/b&gt; Residual analysis and spatial refinement in shallow waters.&lt;br&gt;
- &lt;b&gt;Bergstra &amp; Bengio (2012):&lt;/b&gt; Randomized search for hyperparameter optimization.&lt;br&gt;
- &lt;b&gt;Parrish et al. (2025):&lt;/b&gt; Analysis and assessment of global ICESat-2 bathymetry.&lt;/p&gt;

&lt;p&gt;&lt;i&gt;Developed for scientific research and hydrographic applications. Creating the Codes and documentation optimized using &lt;b&gt;Google Gemini AI&lt;/b&gt;.&lt;/i&gt;&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Nasef2017/Bathymetrix-AI]]></homepage>
        <file_name>Bathymetrix_AI.4.3.zip</file_name>
        <icon>/media/packages/2026/icon_IZsK44m.png</icon>
        <author_name><![CDATA[Nasef M. Aly]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Bathymetrix_AI/version/4.3/download/</download_url>
        <uploaded_by><![CDATA[nasefmaly]]></uploaded_by>
        <create_date>2025-12-30T15:51:58.498936+00:00</create_date>
        <update_date>2026-04-07T05:01:56.962288+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Nasef2017/Bathymetrix-AI/issues]]></tracker>
        <repository><![CDATA[https://github.com/Nasef2017/Bathymetrix-AI]]></repository>
        <tags><![CDATA[python,remote sensing,hydrography,machine learning,bathymetry,sentinel-2,sdb,icesat-2,spatial correction,ransac]]></tags>
        <downloads>1780</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Break Point Index" version="0.3" plugin_id="4514">
        <description><![CDATA[The Break Point Index (BPI) tool is designed for landscape ecological analysis of patch shape and boundary configuration. It processes polygonal landscape patches by evaluating vertex angles along patch boundaries within user-defined angular thresholds, identifying breakpoints that reflect directional changes and geometric irregularities of landscape elements. The tool generates point features representing boundary complexity and computes polygon-level BPI values together with density metrics normalized by perimeter and area. Options to include or exclude inner rings (holes) and to customize angular thresholds allow flexible assessment of landscape pattern, configuration, and shape complexity.This tool may be used freely for research and educational purposes. If used in scientific publications, please cite: Csikós, N., Gudmann, A., Szabó, S. et al. The BreakPointIndex: a new angle-based landscape metric for quantifying patch shape and boundary complexity. Landsc Ecol (2026). https://doi.org/10.1007/s10980-026-02347-6]]></description>
        <about><![CDATA[Plugin for calculating Break Point Index landscape metric.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gudmandras/Break-Point-Index/wiki]]></homepage>
        <file_name>break_pointer.0.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[gudmandras]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/break_pointer/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[gudmandras]]></uploaded_by>
        <create_date>2025-12-31T00:25:50.608318+00:00</create_date>
        <update_date>2026-04-11T12:05:27.968724+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gudmandras/Break-Point-Index/issues]]></tracker>
        <repository><![CDATA[https://github.com/gudmandras/Break-Point-Index]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>372</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoAgent" version="0.3.2" plugin_id="4517">
        <description><![CDATA[Plugin for QGIS interaction using LLM. Enables geospatial analysis and data processing through natural language commands.]]></description>
        <about><![CDATA[A QGIS plugin that leverages Large Language Models (LLMs) to facilitate geospatial analysis and data processing through natural language commands. GeoAgent integrates with QGIS to provide users with an intuitive interface for executing complex geospatial tasks using conversational AI.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/iamtekson/GeoAgent]]></homepage>
        <file_name>geo_agent.0.3.2.zip</file_name>
        <icon>/media/packages/2026/icon_wfzMe2P.png</icon>
        <author_name><![CDATA[Tek Kshetri, Rabin Ojha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo_agent/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[tek]]></uploaded_by>
        <create_date>2025-12-31T20:46:31.608125+00:00</create_date>
        <update_date>2026-02-18T01:12:17.497072+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/iamtekson/GeoAgent/issues]]></tracker>
        <repository><![CDATA[https://github.com/iamtekson/GeoAgent]]></repository>
        <tags><![CDATA[python,qgis,ai,llm,geospatial analysis,agent,natural language,geoagent]]></tags>
        <downloads>2383</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Search" version="1.0.0" plugin_id="4518">
        <description><![CDATA[Make searching easy and intuitive]]></description>
        <about><![CDATA[✨ Features:
1. do searches in toolbar
2. instant search or manual search
3. records your search histories
4. show selected result attribute
📖 Usage:
1. Select a vector layer
2. Enter content in the search box
3. Click search button.
Or pick your prefer search options from toobar.
💡 Tips: change current map scale, select next result will use it.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wsk170/easysearch]]></homepage>
        <file_name>easysearch.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_igECEsT.png</icon>
        <author_name><![CDATA[wsk170]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easysearch/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[wsk170]]></uploaded_by>
        <create_date>2026-01-01T01:24:57.087635+00:00</create_date>
        <update_date>2026-01-01T01:24:59.121083+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wsk170/easysearch/issues]]></tracker>
        <repository><![CDATA[https://github.com/wsk170/easysearch]]></repository>
        <tags><![CDATA[vector,search,quick,easy]]></tags>
        <downloads>841</downloads>
        <average_vote>4.899510048995101</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Analyse Multicritère Hiérarchique" version="1.1" plugin_id="4519">
        <description><![CDATA[QGIS extension for hierarchical multi-criteria analysis using raster layers]]></description>
        <about><![CDATA[AHP Raster Analysis is a QGIS extension designed to perform spatial multi-criteria analyses using the AHP (Analytic Hierarchy Process - Saaty) method. This extension allows you to combine multiple raster criteria, define pairwise comparisons, calculate criterion weights, evaluate consistency rates, and generate a weighted relevance raster to aid spatial decision-making.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Astyanax290/ahp_analysis]]></homepage>
        <file_name>ahp_analysis.1.1.zip</file_name>
        <icon>/media/packages/2026/icon2_P3Bmewq.png</icon>
        <author_name><![CDATA[Sewedo GNANSOUNOU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ahp_analysis/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[astyanax]]></uploaded_by>
        <create_date>2026-01-01T12:46:13.459512+00:00</create_date>
        <update_date>2026-01-30T01:18:01.655298+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Astyanax290/ahp_analysis/issues]]></tracker>
        <repository><![CDATA[https://github.com/Astyanax290/ahp_analysis]]></repository>
        <tags><![CDATA[python,raster,ahp,decision making,gis,multicriteria,décision,analyse,multicritère,saaty]]></tags>
        <downloads>941</downloads>
        <average_vote>4.999722237653463</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Directional Slope Polygons" version="0.3.0" plugin_id="4520">
        <description><![CDATA[Directional slope polygons from DEM with filtering and vertex control]]></description>
        <about><![CDATA[Creates slope-based polygons from DEM using directional and perpendicular slope analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PV-Mapp/directional_slope_polygons]]></homepage>
        <file_name>directional_slope_polygons.0.3.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[PV-Mapp]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/directional_slope_polygons/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[pvmapp]]></uploaded_by>
        <create_date>2026-01-01T18:09:38.155852+00:00</create_date>
        <update_date>2026-01-01T18:09:40.623049+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PV-Mapp/directional_slope_polygons/issues]]></tracker>
        <repository><![CDATA[https://github.com/PV-Mapp/directional_slope_polygons]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>285</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Visor de escenas Sentinel-2 y Landsat - SERNANP" version="0.2.0" plugin_id="4521">
        <description><![CDATA[English description: This plugin allows users to search, preview, and load Sentinel-2 and Landsat (5, 7, 8, and 9) satellite scenes directly into QGIS, with basic spectral visualizations and index generation. Spanish description: Este complemento permite buscar, previsualizar y cargar escenas satelitales Sentinel-2 y Landsat (5, 7, 8 y 9) directamente en QGIS, facilitando su análisis mediante visualizaciones espectrales e índices.]]></description>
        <about><![CDATA[Complemento desarrollado para apoyar el análisis y monitoreo ambiental mediante imágenes satelitales ópticas en QGIS, orientado a flujos de trabajo de conservación, gestión territorial y monitoreo de coberturas dentro de Áreas Naturales Protegidas del SERNANP.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.gob.pe/sernanp]]></homepage>
        <file_name>scene_browser.0.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_FxWTLOW.png</icon>
        <author_name><![CDATA[Joel Valdivia Favian]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/scene_browser/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[jvaldivia]]></uploaded_by>
        <create_date>2026-01-03T14:39:21.708620+00:00</create_date>
        <update_date>2026-03-02T17:26:49.235753+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jvaldivia24/qgis-visor-escenas-sentinel-landsat/issues]]></tracker>
        <repository><![CDATA[https://github.com/jvaldivia24/qgis-visor-escenas-sentinel-landsat]]></repository>
        <tags><![CDATA[raster,landsat,remote sensing,nbr,ndvi,sentinel-2,satellite imagery,environmental monitoring]]></tags>
        <downloads>649</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CPLUS" version="1.1.26" plugin_id="4522">
        <description><![CDATA[Climate Positive Land Use Strategy (CPLUS)]]></description>
        <about><![CDATA[CPLUS decision support tool in making informed decisions, from spatial information such as land cover, carbon stocks, and potential for carbon sequestration, CPLUS enables the identification of key areas for intervention and investment.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ConservationInternational/cplus-plugin]]></homepage>
        <file_name>cplus_plugin.1.1.26.zip</file_name>
        <icon>/media/packages/2026/icon.svg</icon>
        <author_name><![CDATA[Kartoza with Conservation International]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cplus_plugin/version/1.1.26/download/</download_url>
        <uploaded_by><![CDATA[timlinux]]></uploaded_by>
        <create_date>2026-01-03T22:49:04.597090+00:00</create_date>
        <update_date>2026-01-03T22:49:07.646927+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ConservationInternational/cplus-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ConservationInternational/cplus-plugin]]></repository>
        <tags><![CDATA[raster,maps,analytics,cplus]]></tags>
        <downloads>307</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geoservico_Catalogo_Insumos_PA" version="1.3" plugin_id="4524">
        <description><![CDATA[Access to the Subscription Input Catalog service for Geoserviço - Geotecnologia &amp; Meio Ambiente, specifically for Pará (PA) State region.]]></description>
        <about><![CDATA[This plugin provides access to the Subscription Input Catalog service for Geoserviço - Geotecnologia &amp; Meio. It allows users to authenticate and load WMS layers directly into QGIS. Note: Requires &#x27;requests&#x27; library.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geoservico/Geoservico_Catalogo_Insumos_PA]]></homepage>
        <file_name>geoservico_catalogo_insumos_pa.1.3.zip</file_name>
        <icon>/media/packages/2026/icon_4OOWHp8.png</icon>
        <author_name><![CDATA[Roberta Letícia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoservico_catalogo_insumos_pa/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[fmss]]></uploaded_by>
        <create_date>2026-01-05T02:54:52.403635+00:00</create_date>
        <update_date>2026-01-05T02:54:55.931436+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoservico/Geoservico_Catalogo_Insumos_PA/issues]]></tracker>
        <repository><![CDATA[https://github.com/geoservico/Geoservico_Catalogo_Insumos_PA]]></repository>
        <tags><![CDATA[wms,catalog,geoservico,subscription]]></tags>
        <downloads>153</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CES HLD QC Tool" version="1" plugin_id="4525">
        <description><![CDATA[QC tool to locate disconnected poles and chambers from routes]]></description>
        <about><![CDATA[QC tool to locate disconnected poles and chambers from routes]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Skiddelz/Plugin.git]]></homepage>
        <file_name>ces_qc_hld_plugin.1.zip</file_name>
        <icon>/media/packages/2026/icon_8ZPfggv.png</icon>
        <author_name><![CDATA[Skiddelzzz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ces_qc_hld_plugin/version/1/download/</download_url>
        <uploaded_by><![CDATA[skiddelzzz]]></uploaded_by>
        <create_date>2026-01-05T07:38:22.460050+00:00</create_date>
        <update_date>2026-01-05T07:38:24.568320+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Skiddelz/Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Skiddelz/Plugin.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>198</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="32BT Verbeter de kaart" version="2.2" plugin_id="4527">
        <description><![CDATA[Open verbeterdekaart.nl vanuit QGIS]]></description>
        <about><![CDATA[The verbeterdekaart.nl website allows users to submit corrections for digital maps of the Netherlands. This plugin simplifies the process by opening the verbeterdekaart.nl website directly from the QGIS application, showing the same location and scale as the current QGIS mapcanvas. Click the right mousebutton anywhere in a map of the Netherlands, and select the corresponding menuitem from the contextmenu.

Verbeter de kaart is een  QGIS plugin waarmee verschillende types terugmeldingen eenvoudig aangemaakt en ingezien kunnen worden. Met de plugin kun je snel een WFS laag aanmaken voor één van de gekende terugmeldservices (BAG, BGT, BRT, 3DB, en AERO). Ook kun je direct de bijbehorende verbeterdekaart-webpagina openen. De plugin ondersteunt de BAGViewer, verbeterdekaart.nl, en verbeterdeluchtvaartkaart.nl. Gebruik de knoppen in de werkbalk, of klik met de rechtermuisknop op je QGIS kaart en kies de gewenste optie uit het verbeterdekaart submenu.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>5.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/32BT/QGIS-32BT-verbeterdekaart/blob/main/README.md]]></homepage>
        <file_name>QGIS_32BT_verbeterdekaart.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_vw2I7Uh.svg</icon>
        <author_name><![CDATA[32BT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS_32BT_verbeterdekaart/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[32bt]]></uploaded_by>
        <create_date>2026-01-05T08:33:52.081926+00:00</create_date>
        <update_date>2026-03-25T06:36:17.209876+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/32bt/QGIS-32BT-verbeterdekaart/issues]]></tracker>
        <repository><![CDATA[https://github.com/32bt/QGIS-32BT-verbeterdekaart]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1386</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="32BT Feature Navigation Toolbar" version="1.3" plugin_id="4528">
        <description><![CDATA[Quickly navigate a set of features]]></description>
        <about><![CDATA[This plugin provides a toolbar for navigating a preselected set of features from any type of featurelayer. Create a selection of features and hit the start button. The plugin will load the selection and will zoom to and select the first feature. You can then use the navigation buttons to zoom to and select each individual feature. When active, other plugins can communicate with this plugin for conjoint operation. See homepage for details.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>5.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/32BT/QGIS-32BT-Feature-Navigation-Toolbar/blob/main/README.md]]></homepage>
        <file_name>QGIS_32BT_Feature_Navigation_Toolbar.1.3.zip</file_name>
        <icon>/media/packages/2026/icon_wr1FslB.svg</icon>
        <author_name><![CDATA[32BT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS_32BT_Feature_Navigation_Toolbar/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[32bt]]></uploaded_by>
        <create_date>2026-01-05T08:50:19.288131+00:00</create_date>
        <update_date>2026-03-23T07:35:38.839565+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/32BT/QGIS-32BT-Feature-Navigation-Toolbar/issues]]></tracker>
        <repository><![CDATA[https://github.com/32BT/QGIS-32BT-Feature-Navigation-Toolbar]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2723</downloads>
        <average_vote>3.142707490119518</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArcGeek Topo" version="1.0.0" plugin_id="4530">
        <description><![CDATA[Automates topographic survey plans with editable layouts. (Spanish Interface)]]></description>
        <about><![CDATA[Automates professional topographic surveys with editable layouts. (Spanish Interface).

Plugin para generar levantamientos topográficos profesionales con layouts editables en QGIS.

Características principales:
- Genera capas vectoriales (polígono, vértices, medidas)
- Crea layouts completos y editables
- Calcula automáticamente rumbos, distancias, áreas y perímetros
- Herramientas de Processing:
* Crear Polígono desde CSV (Simple)
* Extraer Puntos Ordenados de Polígonos
* Exportar Tablas a CSV/Excel

Compatibilidad:
- Soporta Qt5 y Qt6
- Compatible con QGIS 3.40 hasta 4.99]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/franzpc/arcgeek_topo]]></homepage>
        <file_name>arcgeek_topo.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_x9z5B7w.png</icon>
        <author_name><![CDATA[ArcGeek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arcgeek_topo/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[franzpc]]></uploaded_by>
        <create_date>2026-01-05T14:11:51.731924+00:00</create_date>
        <update_date>2026-01-05T14:11:54.024260+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/franzpc/arcgeek_topo]]></tracker>
        <repository><![CDATA[https://github.com/franzpc/arcgeek_topo]]></repository>
        <tags><![CDATA[excel,processing,csv,coordenadas,topografia,levantamiento planimétrico,planos,levantamiento,distancias,layout automático,rumbos,levantamiento topográfico]]></tags>
        <downloads>1837</downloads>
        <average_vote>4.31223048559465</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geoserviço - Catálogo de Insumos por Assinatura AP" version="1.3" plugin_id="4531">
        <description><![CDATA[Access to the Subscription Input Catalog service for Geoserviço - Geotecnologia &amp; Meio Ambiente, specifically for Amapá (AP) State region.]]></description>
        <about><![CDATA[This plugin provides access to the Subscription Input Catalog service for Geoserviço - Geotecnologia &amp; Meio Ambiente. It allows users to authenticate and load WMS layers directly into QGIS. Note: Requires &#x27;requests&#x27; library.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geoservico/Geoservico_Catalogo_Insumos_AP]]></homepage>
        <file_name>geoservico_catalogo_insumos_ap.1.3.zip</file_name>
        <icon>/media/packages/2026/icon_odeHo6N.png</icon>
        <author_name><![CDATA[Roberta Letícia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoservico_catalogo_insumos_ap/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[fmss]]></uploaded_by>
        <create_date>2026-01-05T14:49:06.347837+00:00</create_date>
        <update_date>2026-01-05T14:49:08.755896+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoservico/Geoservico_Catalogo_Insumos_AP/issues]]></tracker>
        <repository><![CDATA[https://github.com/geoservico/Geoservico_Catalogo_Insumos_AP]]></repository>
        <tags><![CDATA[wms,catalog,geoservico,subscription,ap,amapa]]></tags>
        <downloads>135</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QNetPlanner" version="1.0.0" plugin_id="4532">
        <description><![CDATA[Network planning and optimization plugin with ILP and greedy fallback solvers]]></description>
        <about><![CDATA[QNetPlanner is a QGIS plugin for GIS-based network planning and spatial optimization. It enables optimal selection of gateways and sensors using integer linear programming with a greedy fallback solver, incorporating terrain, distance, and cost-based decision criteria. Designed for IoT, wireless sensor networks, and infrastructure planning, the plugin integrates seamlessly with QGIS workflows. Future releases will extend the platform with radio-frequency simulation and advanced decision-making intelligence.

Documentation: https://gitlab.com/binoy194/QNetPlanner/-/wikis/home]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/binoy194/QNetPlanner/-/wikis/home]]></homepage>
        <file_name>QNetPlanner.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_tqHIfUn.png</icon>
        <author_name><![CDATA[Binoy C, Kavya S K]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QNetPlanner/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[binoy194]]></uploaded_by>
        <create_date>2026-01-05T15:38:15.101266+00:00</create_date>
        <update_date>2026-01-05T15:38:17.374727+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/binoy194/QNetPlanner/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/binoy194/QNetPlanner]]></repository>
        <tags><![CDATA[network,viewshed,iot,spatial optimization,sensor,planning,wireless,network planning,infrastructure planning,gateway placement,operations research,integer linear programming,sensor network design,facility location analysis,decision support systems,Lorawan,gateway,RF,RF simulator,ILP]]></tags>
        <downloads>322</downloads>
        <average_vote>5.199653356442904</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QspellinGIS" version="1.1" plugin_id="4533">
        <description><![CDATA[A dock widget that allows you to check spelling of attribute data - hence (Q) Spell In GIS]]></description>
        <about><![CDATA[This plugin is for Spell Checking your attribute data (and allows you to build a custom Personal Word List) - it builds a basic attribute form in a Dock window - text fields are editable and the plugin creates a custom Context Menu for spell checking. On Windows you can use pySpellChecker module. For Linux / Mac / WSL you can also use Enchant. If you are using pySpellChecker as the spelling library you can Bring Your Own Dictionary (i.e. import your own Word Frequency List, which you can create with pySpellChecker) and a custom British English dictionary is included. It is necessarily clunky because QGIS does not currently expose the python bindings to allow the native attribute forms to use this functionality. You can loop through features or use a custom identify tool to view each feature&#x27;s attributes. When looping through each feature of a selected layer the canvas will Pan or Zoom to each feature.  Plugin REQUIRES: pySpellChecker and optionally Enchant libraries -  which can be loaded using pyEnchant or libenchant2 in your python installation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/walking-the-talk/qspellingis]]></homepage>
        <file_name>qspellingis.1.1.zip</file_name>
        <icon>/media/packages/2026/qspellingis_2calX3R.png</icon>
        <author_name><![CDATA[Chris York (Walking-the-Talk)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qspellingis/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[seewhy]]></uploaded_by>
        <create_date>2026-01-06T08:10:10.658286+00:00</create_date>
        <update_date>2026-01-16T19:35:14.689897+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/walking-the-talk/qspellingis/issues]]></tracker>
        <repository><![CDATA[https://github.com/walking-the-talk/qspellingis]]></repository>
        <tags><![CDATA[attributes,spelling]]></tags>
        <downloads>402</downloads>
        <average_vote>0.9990009990009991</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IoU Calculator" version="0.1" plugin_id="4534">
        <description><![CDATA[Advanced spatial validation tool using IoU (Intersection over Union) metrics to evaluate prediction results or to compare any two layers]]></description>
        <about><![CDATA[This plugin automates the calculation of Area-based and Object-based IoU, Precision, Recall, and F1-score. It generates a statistical summary table, a visual overlap layer and a results layer containing individual IoU scores per polygon.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/reutkeller/iou-calculator]]></homepage>
        <file_name>iou_calculator.0.1.zip</file_name>
        <icon>/media/packages/2026/logo_IoU_J7n1dfm.png</icon>
        <author_name><![CDATA[Reut Keller Azulay]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/iou_calculator/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[reutkeller]]></uploaded_by>
        <create_date>2026-01-06T10:28:35.423824+00:00</create_date>
        <update_date>2026-01-06T10:28:37.807527+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/reutkeller/iou-calculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/reutkeller/iou-calculator]]></repository>
        <tags><![CDATA[python,validation,accuracy,spatial analysis,object detection,jaccard,iou,precision-recall]]></tags>
        <downloads>338</downloads>
        <average_vote>4.999444506165982</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoCAR Poupa Tempo" version="0.1" plugin_id="4535">
        <description><![CDATA[Developed by Geoservico - Geotechnologies and Environment. This plugin automates the creation of layer and group structures for Rural Environmental Registry (CAR) projects in the CAR - Registration Module, facilitating the organization and export of data. In three steps: 1- Select layers; 2- Leave the plugin running in the background (mandatory) while vectorizing; 3- Open the plugin window that is running in the background and select export layers (a folder will be created on the desktop named CAR FINALIZADO).]]></description>
        <about><![CDATA[Desenvolvido por Geoservico - Geotecnologias e Meio Ambiente. Este plugin automatiza a criacao de estruturas de camadas e grupos para projetos de Cadastro Ambiental Rural (CAR) no CAR -Módulo de Cadastro, facilitando a organizacao e exportacao dos dados.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geoservico/geocar_poupa_tempo]]></homepage>
        <file_name>geocar_poupa_tempo.0.1.zip</file_name>
        <icon>/media/packages/2026/new_logo.png</icon>
        <author_name><![CDATA[Geoservico]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocar_poupa_tempo/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[fmss]]></uploaded_by>
        <create_date>2026-01-06T22:04:04.139564+00:00</create_date>
        <update_date>2026-01-06T22:04:06.363164+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoservico/geocar_poupa_tempo/issues]]></tracker>
        <repository><![CDATA[https://github.com/geoservico/geocar_poupa_tempo]]></repository>
        <tags><![CDATA[car,vetor,automacao,meio ambiente,para]]></tags>
        <downloads>628</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="L-RAT: Linear Referencing &amp; Analysis Tools" version="1.0" plugin_id="4536">
        <description><![CDATA[Processing algorithms for linear referencing (PK/M) and analysis on linear layers, especially road networks. Includes tools to locate points and segments on calibrated LineStringM geometries, as well as additional utilities for linear infrastructure analysis.]]></description>
        <about><![CDATA[This Processing plugin adds a set of practical tools to the QGIS Processing Toolbox for working with linear features, especially in road and linear infrastructure projects. L-RAT focuses on linear referencing using PK/M values on calibrated LineStringM and MultiLineStringM geometries, allowing users to locate points and extract segments along linear networks, either manually or from attribute tables. The plugin also includes additional utilities for analysing linear data that do not require M geometry but are commonly needed in road engineering workflows such as curve/center detection and slope &amp; longitudinal profile extraction from a DEM.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Javisionario/L-RAT]]></homepage>
        <file_name>linear_rat.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_0dbaoUL.png</icon>
        <author_name><![CDATA[Javi H Piris]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/linear_rat/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[javisionario]]></uploaded_by>
        <create_date>2026-01-07T07:25:55.323851+00:00</create_date>
        <update_date>2026-01-28T10:22:45.751547+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Javisionario/L-RAT]]></tracker>
        <repository><![CDATA[https://github.com/Javisionario/L-RAT]]></repository>
        <tags><![CDATA[profile,analysis,road,dem,elevation,linear,chainage,events,calibration,segment,points along lines,pk,referencing,linestringm,linestring,viario,m]]></tags>
        <downloads>365</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FieldWatch Vectorizer" version="2.2.0" plugin_id="4537">
        <description><![CDATA[Vectorization inference service for building detection]]></description>
        <about><![CDATA[Generate vector masks of features from Geotiff images.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://usefieldwatch.com/]]></homepage>
        <file_name>vec_plugin.2.2.0.zip</file_name>
        <icon>/media/packages/2026/binocular_rKaLp3N.png</icon>
        <author_name><![CDATA[FieldWatch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vec_plugin/version/2.2.0/download/</download_url>
        <uploaded_by><![CDATA[afjdev906]]></uploaded_by>
        <create_date>2026-01-07T09:34:49.202818+00:00</create_date>
        <update_date>2026-03-30T12:31:42.242714+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fw-qgis-vectorizer/QGIS_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/fw-qgis-vectorizer/QGIS_Plugin]]></repository>
        <tags><![CDATA[vector,raster,machine learning,segmentation,building detection,ai,inference]]></tags>
        <downloads>621</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Zonify" version="1.0.0" plugin_id="4538">
        <description><![CDATA[Advanced batch zonal statistics processor with smart resource management and professional reporting]]></description>
        <about><![CDATA[Zonify is a powerful QGIS plugin for professional geospatial analysts who need
to process multiple rasters against polygon layers with advanced capabilities.
Features include: batch processing of unlimited rasters, 15+ statistical measures
(mean, median, percentiles, spatial autocorrelation, etc.), custom user-defined
formulas, before/after comparison analysis, temporal trend detection, export to
8+ formats (GeoPackage, CSV, Excel, PDF, HTML), professional interactive reports,
resume/checkpoint system for long-running jobs, smart resource management with
user-controlled RAM/CPU limits, and true background processing that keeps QGIS
fully responsive.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://dragosgontariu.github.io/zonify]]></homepage>
        <file_name>Zonify.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_nlGPMHC.png</icon>
        <author_name><![CDATA[Dragos Gontariu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Zonify/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[dragogontariu]]></uploaded_by>
        <create_date>2026-01-07T10:17:09.907048+00:00</create_date>
        <update_date>2026-01-07T10:17:12.323180+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dragosgontariu/zonify/issues]]></tracker>
        <repository><![CDATA[https://github.com/dragosgontariu/zonify]]></repository>
        <tags><![CDATA[raster,analysis,statistics,batch,zonal]]></tags>
        <downloads>526</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="S57Manager" version="1.0.1" plugin_id="4539">
        <description><![CDATA[FR:S57Manager est un plugin QGIS dédié à l’import, la gestion et l’affichage des données marines ENC (S-57).Il permet d’importer automatiquement des fichiers ENC (.000) vers une base GeoPackage ou PostGIS, d’organiser les couches par thèmes, d’appliquer des styles adaptés et de gérer les échelles d’affichage.Le plugin intègre également un module NOAA permettant de parcourir le catalogue officiel ENC, de filtrer les cellules par purpose, échelle et emprise du canevas, puis de les télécharger et importer directement dans QGIS.S57Manager prend en charge le multilingue (FR/EN/ES/PT) et regroupe plusieurs outils ENC dans une interface unique.EN:S57Manager is a QGIS plugin dedicated to the import, management and display of marine ENC (S-57) data.It allows automatic import of ENC files (.000) into a GeoPackage or PostGIS database, thematic layer organization, predefined styling and scale-based visibility management.The plugin also includes a NOAA module to browse the official ENC catalog, filter cells by purpose, scale and map extent, and download and import them directly into QGIS.S57Manager supports multiple languages (FR/EN/ES/PT) and provides a unified interface for ENC-related tools.]]></description>
        <about><![CDATA[Plugin QGIS dédié à l’import, la gestion et l’affichage des données marines ENC (S-57).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SigEtTerritoires/S57Manager]]></homepage>
        <file_name>S57Manager.1.0.1.zip</file_name>
        <icon>/media/packages/2026/plugin_icon_4xMEKf6.png</icon>
        <author_name><![CDATA[Atilio FRANCOIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/S57Manager/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[atiliofrancois]]></uploaded_by>
        <create_date>2026-01-07T12:07:02.947561+00:00</create_date>
        <update_date>2026-02-13T19:31:49.711199+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SigEtTerritoires/S57Manager/issues]]></tracker>
        <repository><![CDATA[https://github.com/SigEtTerritoires/S57Manager]]></repository>
        <tags><![CDATA[charts,nautical,hydrography,marine,noaa,s-57,enc]]></tags>
        <downloads>843</downloads>
        <average_vote>3.2495938007749032</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cartographic Generalizer" version="1.0.0" plugin_id="4540">
        <description><![CDATA[QGIS plugin for cartographic generalization of linear features based on scale change]]></description>
        <about><![CDATA[Plugin that implements automatic cartographic generalization of linear features (contour lines, hydrography) considering scale change. Calculates Generalization Index (Ig) and applies simplification and smoothing operators based on cartographic theory.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/indiaraelis/cartographic-generalizer]]></homepage>
        <file_name>cartographic_generalizer.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_jJIqL2v.png</icon>
        <author_name><![CDATA[Indiara Elis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cartographic_generalizer/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[indiaraelis]]></uploaded_by>
        <create_date>2026-01-07T17:17:49.622053+00:00</create_date>
        <update_date>2026-01-12T17:58:07.791405+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/indiaraelis/cartographic-generalizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/indiaraelis/cartographic-generalizer]]></repository>
        <tags><![CDATA[line,generalization,scale,simplification,smoothing,cartography]]></tags>
        <downloads>747</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Søk" version="1.3.0" plugin_id="4541">
        <description><![CDATA[Søk i Norges offisielle APIer direkte i QGIS. Search Norway’s official APIs directly in QGIS.]]></description>
        <about><![CDATA[Søk i Kartverkets åpne tjenester for adresse, eiendom, fylker, kommuner og stedsnavn. Treff kan forhåndsvises i kartet (midlertidig markør/flate), zoomes til og legges til som memory-lag (søkte_adresser, søkte_eiendommer, søkte_fylker, søkte_kommuner, søkte_stedsnavn). Dockbart panel og støtte for QGIS 3.x og QGIS 4 (Qt6).\n\nSearch for addresses, properties, counties, municipalities and place names using the official open REST APIs provided by the National Mapping Authority of Norway (Kartverket). Hits are previewed in the map as a temporary marker or polygon, can be zoomed to, and can be stored as temporary memory layers. The plugin is a dockable panel and supports both QGIS 3.x and QGIS 4 (Qt6).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kartverket/kvseek]]></homepage>
        <file_name>kvseek.1.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_kvseek_2pVHkoY.svg</icon>
        <author_name><![CDATA[Tom-Erik Bakkely Aasheim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kvseek/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[tompreik1982]]></uploaded_by>
        <create_date>2026-01-08T13:42:25.770292+00:00</create_date>
        <update_date>2026-04-08T07:47:49.610355+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kartverket/kvseek/issues]]></tracker>
        <repository><![CDATA[https://github.com/kartverket/kvseek]]></repository>
        <tags><![CDATA[adresse,rest,geonorge,kartverket,geokoding,matrikkel,eiendom,stedsnavn,fylke,kommune]]></tags>
        <downloads>548</downloads>
        <average_vote>4.999666688887408</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Final Distribution Point Coverage Analysis" version="1.1.0" plugin_id="4542">
        <description><![CDATA[Optimize population coverage for humanitarian (cash, in-kind) distribution points.]]></description>
        <about><![CDATA[Distribution Point Coverage Tool is a QGIS plugin that helps humanitarian and development practitioners analyse and improve the spatial coverage of service and distribution networks.

The tool combines three simple inputs:
- a CSV file with distribution point coordinates,
- (WorldPop) population data (GeoTIFF or CSV), and
- a planning area shapefile.

It allows users to create buffers, calculate how much of the population of a planning area is covered, and identify underserved areas. A population hotspot function highlights high-density clusters, supporting evidence-based prioritisation.

Optimisation features suggest improved positions for overlapping or poorly located distribution points and can automatically place new points in uncovered high-population areas. All suggested locations can be manually adjusted in QGIS to reflect field knowledge and operational constraints.

USER GUIDE and HANDBOOK avaliable on the Plugin homepage (GitHub).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ksebipf-del/Distribution-point-coverage-analysis-tool/tree/main]]></homepage>
        <file_name>fdp_coverage.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_6oTMZyB.png</icon>
        <author_name><![CDATA[Sebastian Pfau]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fdp_coverage/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[seb1298]]></uploaded_by>
        <create_date>2026-01-08T14:43:03.703495+00:00</create_date>
        <update_date>2026-01-08T14:43:05.904516+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ksebipf-del/Distribution-point-coverage-analysis-tool.git]]></tracker>
        <repository><![CDATA[https://github.com/ksebipf-del/Distribution-point-coverage-analysis-tool.git]]></repository>
        <tags><![CDATA[python,analysis,optimization,population,worldpop,coverage,humanitarian]]></tags>
        <downloads>218</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DEM Downscaling" version="1.0.0" plugin_id="4543">
        <description><![CDATA[Plugin to increase DEM resolution using Hopfield Neural Network method with spatial dependence maximization and elevation constraints. Features vectorized tensor operations and optional GPU acceleration for fast processing of large DEMs.]]></description>
        <about><![CDATA[This plugin implements the DEM downscaling algorithm based on the Hopfield Neural Network method presented in &quot;Downscaling Gridded DEMs Using the Hopfield Neural Network&quot; by Nguyen Quang Minh et al. (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 12, Issue 11, pp. 4426-4437, 2019, DOI: 10.1109/JSTARS.2019.2953515). The algorithm increases DEM resolution by combining spatial dependence maximization with elevation constraints. The plugin supports resolution enhancement with zoom factors from 2x to 10x. Optional GPU acceleration using CuPy is available for faster processing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/DEM_Downscaling/]]></homepage>
        <file_name>DEM_Downscaling.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_4M6Ac1r.png</icon>
        <author_name><![CDATA[Nguyen Quang Minh, Aisees Solutions]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DEM_Downscaling/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[nguyenquangminh]]></uploaded_by>
        <create_date>2026-01-09T04:06:18.187772+00:00</create_date>
        <update_date>2026-01-09T04:26:35.857288+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nqm12a02/DEM-Downscaling/issues]]></tracker>
        <repository><![CDATA[https://github.com/nqm12a02/DEM-Downscaling]]></repository>
        <tags><![CDATA[dem,terrain,elevation,resolution,downscaling,hopfield neural network,increasing dem resolution]]></tags>
        <downloads>1201</downloads>
        <average_vote>4.665889018496917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Batch Convert GeoJSON To SQL" version="1.0.0" plugin_id="4544">
        <description><![CDATA[Convert GeoJSON files into SQL Dump]]></description>
        <about><![CDATA[Developed by Tanish]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tanishcb/batch_geojson_to_sql]]></homepage>
        <file_name>batch_geoson_to_sql.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_w7LwcK2.svg</icon>
        <author_name><![CDATA[Tanish]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/batch_geoson_to_sql/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[tanishgis]]></uploaded_by>
        <create_date>2026-01-09T04:32:07.098794+00:00</create_date>
        <update_date>2026-01-09T04:32:09.461901+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tanishcb/batch_geojson_to_sql/issues]]></tracker>
        <repository><![CDATA[https://github.com/tanishcb/batch_geojson_to_sql]]></repository>
        <tags><![CDATA[sql,geojson,db]]></tags>
        <downloads>328</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Advanced Selection Table" version="2.1.1" plugin_id="4545">
        <description><![CDATA[Professional attribute table with two-tier selection (Cyan = Selected, Yellow = Highlighted) for advanced feature filtering and editing]]></description>
        <about><![CDATA[Advanced Selection Table is a powerful QGIS plugin that provides a professional attribute table experience with a unique two-tier selection system designed for efficient feature management and editing workflows.

KEY FEATURES:
• Two-Tier Selection System: Cyan background shows your original layer selection, Yellow highlighting marks the subset you want to work with
• Advanced Field Calculator: Create or update fields using expressions, with live preview and the ability to target only highlighted features
• Expression-Based Filtering: Use the powerful expression builder to filter and highlight features matching specific criteria
• Inline Cell Editing: Double-click cells to edit attribute values directly (when layer is in edit mode)
• Dock/Undock Support: Use as a floating window or dock it like the native QGIS attribute table
• Full Edit Mode Integration: Delete, Cut, Copy, Paste operations work on highlighted features
• Zoom to Features: Quickly zoom to your highlighted subset on the map
• Re-select to Highlighted: Narrow your layer selection to just the highlighted subset

HOW TO USE:
1. Select features in your vector layer using any QGIS selection tool
2. Open Advanced Selection Table from Vector → MAS Vector Processing menu
3. Your selected features appear with cyan background (original selection)
4. Click rows to highlight them (yellow) - these become your &quot;target&quot; features
5. Use Ctrl+Click to toggle individual highlights, Shift+Click for range selection
6. All operations (Delete, Field Calculator, Zoom, etc.) work on highlighted features first
7. Use &quot;Re-select to Highlighted&quot; to narrow your layer selection to just the highlighted subset
8. Toggle editing mode to enable inline cell editing and destructive operations]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/advanced_selection_table]]></homepage>
        <file_name>advanced_selection_table.2.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_CSMeVlB.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/advanced_selection_table/version/2.1.1/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2026-01-09T18:34:44.252427+00:00</create_date>
        <update_date>2026-01-09T19:58:26.177519+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/advanced_selection_table/wiki]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/advanced_selection_table]]></repository>
        <tags><![CDATA[vector,selection,filter,features,attribute table,expression,edit,workflow,field calculator,subset,professional,highlight,multi-select,advanced]]></tags>
        <downloads>978</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="spatiotemporal_lulc_analysis" version="0.1.1" plugin_id="4546">
        <description><![CDATA[Spatiotemporal LULC analysis for categorical rasters: class areas, transitions, net/gross change, change intensity, persistence, and hotspot mapping.]]></description>
        <about><![CDATA[Analysis-first QGIS plugin for multi-year land use land cover analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://raymukesh.github.io/spatiotemporal_lulc_analysis/]]></homepage>
        <file_name>spatiotemporal_lulc_analysis.0.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_jcxd6wR.png</icon>
        <author_name><![CDATA[Mukesh Ray]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spatiotemporal_lulc_analysis/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[raymukesh]]></uploaded_by>
        <create_date>2026-01-10T08:22:46.027773+00:00</create_date>
        <update_date>2026-01-12T10:17:47.005621+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raymukesh/spatiotemporal_lulc_analysis/issues]]></tracker>
        <repository><![CDATA[https://github.com/raymukesh/spatiotemporal_lulc_analysis]]></repository>
        <tags><![CDATA[remote sensing,change detection,gis,qgis plugin,spatiotemporal analysis,land use land cover,categorical rasters]]></tags>
        <downloads>481</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spectra Tool" version="1.0" plugin_id="4547">
        <description><![CDATA[Interactive spectral profiler for raster layers. Features live active-band tracking, wavelength visualization, and multi-point comparison.]]></description>
        <about><![CDATA[An advanced spectral analysis tool extending QGIS&#x27;s Identify Features. It allows users to plot pixel values against wavelengths (extracted automatically from metadata) or band numbers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SwapGoel/spectra-tool-qgis]]></homepage>
        <file_name>spectra.1.0.zip</file_name>
        <icon>/media/packages/2026/plugin_logo.png</icon>
        <author_name><![CDATA[Swapnil Goel, Pixxel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spectra/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[swapnilgoel]]></uploaded_by>
        <create_date>2026-01-11T17:49:20.740667+00:00</create_date>
        <update_date>2026-01-11T17:49:23.605577+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SwapGoel/spectra-tool-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/SwapGoel/spectra-tool-qgis]]></repository>
        <tags><![CDATA[raster,remote sensing,spectral,tool,plotting,wavelength,spectra]]></tags>
        <downloads>874</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GEDIPipeline" version="0.1" plugin_id="4548">
        <description><![CDATA[Download, clip, subset and visualize GEDI data in an all-in-one QGIS plugin.]]></description>
        <about><![CDATA[This plugin downloads, subsets and clips GEDI data to user-defined areas of interest and user-defined parameters.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/leonelluiscorado/gedi-pipeline-qgis-plugin]]></homepage>
        <file_name>gedi_pipeline_plugin.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_gd6HfJ4.png</icon>
        <author_name><![CDATA[Leonel Corado]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gedi_pipeline_plugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[leonelcorado]]></uploaded_by>
        <create_date>2026-01-12T15:51:49.841147+00:00</create_date>
        <update_date>2026-01-12T15:51:52.936375+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/leonelluiscorado/gedi-pipeline-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/leonelluiscorado/gedi-pipeline-qgis-plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>207</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Add to CartoVista" version="1.2" plugin_id="4549">
        <description><![CDATA[Upload QGIS maps and layers to CartoVista.]]></description>
        <about><![CDATA[Add to CartoVista plugin seamlessly publishes your layers, symbology, and data directly from QGIS to shareable, browser-based maps.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.3</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://cartovista.com/cartovista-qgis-plugin/]]></homepage>
        <file_name>add_to_cartovista.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_UWkkjJr.png</icon>
        <author_name><![CDATA[CartoVista]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/add_to_cartovista/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[cartovista]]></uploaded_by>
        <create_date>2026-01-12T19:28:59.149228+00:00</create_date>
        <update_date>2026-04-09T14:29:36.454952+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cartovista/qgis-add-to-cartovista/issues]]></tracker>
        <repository><![CDATA[https://github.com/cartovista/qgis-add-to-cartovista]]></repository>
        <tags><![CDATA[python,browser,cloud,capture,publication,webmapping,layers,internet,data,catalog,maps,media,webgis,sharing,online,collaboration,publishing,realtime,comments,shared,public]]></tags>
        <downloads>801</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DSM to DTM" version="0.3.2" plugin_id="4550">
        <description><![CDATA[Generate Digital Terrain Models (DTM) from Digital Surface Models (DSM). Removes buildings, vegetation, and cars.]]></description>
        <about><![CDATA[A robust, pure-Python implementation of Progressive Morphological Filtering for bare-earth extraction. No external dependencies required beyond what QGIS provides.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/seedlit/dsm2dtm]]></homepage>
        <file_name>dsm2dtm.0.3.2.zip</file_name>
        <icon>/media/packages/2026/icon_EZ1rKGj.png</icon>
        <author_name><![CDATA[Naman Jain]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dsm2dtm/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[seedlit]]></uploaded_by>
        <create_date>2026-01-12T21:39:40.450363+00:00</create_date>
        <update_date>2026-02-22T11:20:32.573376+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/seedlit/dsm2dtm/issues]]></tracker>
        <repository><![CDATA[https://github.com/seedlit/dsm2dtm]]></repository>
        <tags><![CDATA[filter,dem,terrain,elevation,dtm,lidar,dsm,bare-earth,morphological]]></tags>
        <downloads>1639</downloads>
        <average_vote>3.9995556049327856</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mask Filter Plugin" version="3.0" plugin_id="4551">
        <description><![CDATA[Deletes features outside a polygon mask]]></description>
        <about><![CDATA[This plugin deletes all features outside a selected mask polygon layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/majid1973fg/mask-filter-plugin]]></homepage>
        <file_name>mask_filter_plugin.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_4FN1OXx.png</icon>
        <author_name><![CDATA[Majid Hamed Hobi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mask_filter_plugin/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[majidhamed73]]></uploaded_by>
        <create_date>2026-01-14T16:00:26.486608+00:00</create_date>
        <update_date>2026-01-20T15:41:41.155893+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/majid1973fg/mask-filter-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/majid1973fg/mask-filter-plugin]]></repository>
        <tags><![CDATA[vector,filter,delete,polygon,mask,qgis]]></tags>
        <downloads>787</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Wincan Vx to TEKSI Importer" version="0.6" plugin_id="4553">
        <description><![CDATA[Wincan Vx to TEKSI Importer allows importing Wincan Vx data into TEKSI wastewater module.]]></description>
        <about><![CDATA[Wincan Vx to TEKSI Importer allows importing pipe inspection TV data in Wincan Vx format into TEKSI Wastewater module. Wincan is a software for the inspection and management of the waste water infrastructure (http://www.wincan.com/). The data respects the EN 13508 norm. You can browse inspection data and review each observation and choose what will be imported. Data will be imported into a TWW project which has a data model respecting the Swiss-norm VSA-DSS.]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/QGIS_TEKSI_Wincan_Vx_Importer_Plugin]]></homepage>
        <file_name>wincan2teksi.0.6.zip</file_name>
        <icon>/media/packages/2026/wincan_logo_HjPZfFl.png</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wincan2teksi/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2026-01-15T09:43:36.768069+00:00</create_date>
        <update_date>2026-04-09T19:47:47.171856+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/QGIS_TEKSI_Wincan_Vx_Importer_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/QGIS_TEKSI_Wincan_Vx_Importer_Plugin]]></repository>
        <tags><![CDATA[wincan,inspection,wastewater,qgep,teksi,tww]]></tags>
        <downloads>214</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Hydrological Analysis Stream Network" version="2.0.1" plugin_id="4554">
        <description><![CDATA[Algorithm for hydrological analysis that generates the drainage network from a digital terrain model (DTM)]]></description>
        <about><![CDATA[Algorithm for hydrological analysis that generates the drainage network from a digital terrain model (DTM).

Main feautures:
- Vector stream network (raw and smoothed)
- Drainage directions
- Topographic index ln(a/tan(b))
- Half basins.

Main steps:
1) Fill sinks (Wang &amp; Liu algorithm)
2) Flow calculation and stream delineation
3) Raster to vector conversion
4) Geometry smoothing]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pinogcosentino/Hydrological-Analysis-Stream-Network]]></homepage>
        <file_name>hydrological_analysis.2.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_QcdeYr4.png</icon>
        <author_name><![CDATA[Giuseppe Cosentino (Pino), Francesco Pennica]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hydrological_analysis/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[ls04ms]]></uploaded_by>
        <create_date>2026-01-15T10:15:42.546358+00:00</create_date>
        <update_date>2026-03-13T13:37:50.492116+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pinogcosentino/Hydrological-Analysis-Stream-Network/issues]]></tracker>
        <repository><![CDATA[https://github.com/pinogcosentino/Hydrological-Analysis-Stream-Network]]></repository>
        <tags><![CDATA[python,geology,hydrology,geoprocessing,hazard]]></tags>
        <downloads>1949</downloads>
        <average_vote>4.904528355792581</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Right-click Actions Toolkit" version="1.0.7" plugin_id="4555">
        <description><![CDATA[Universal right-click context menu plugin that automatically detects features (points, lines, polygons) anywhere on the canvas and provides context-aware actions.]]></description>
        <about><![CDATA[This plugin provides universal right-click functionality that works anywhere on the QGIS canvas. It automatically detects features of any type (points, multipoints, lines, multilines, polygons, multipolygons) at the cursor position and displays context-aware actions. Features include smart feature detection with extended tolerance for points and lines, hierarchical menus for overlapping features, and a modular action system that&#x27;s easy to extend. No layer selection required - works on all visible vector layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kacperkolbusz/qgis-rightclick-actions-toolkit]]></homepage>
        <file_name>RightclickActionsToolkit.1.0.7.zip</file_name>
        <icon>/media/packages/2026/main.ico</icon>
        <author_name><![CDATA[Kacper Kolbusz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RightclickActionsToolkit/version/1.0.7/download/</download_url>
        <uploaded_by><![CDATA[kacperkolbusz]]></uploaded_by>
        <create_date>2026-01-15T10:59:52.486696+00:00</create_date>
        <update_date>2026-04-12T21:49:30.877115+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kacperkolbusz/qgis-rightclick-actions-toolkit/issues]]></tracker>
        <repository><![CDATA[https://github.com/kacperkolbusz/qgis-rightclick-actions-toolkit]]></repository>
        <tags><![CDATA[vector,points,lines,actions,polygons,shortcuts,utilities,feature-detection,context-menu,right-click]]></tags>
        <downloads>755</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layout to Clipboard" version="0.1.0" plugin_id="4556">
        <description><![CDATA[Copy current layout to clipboard as PNG]]></description>
        <about><![CDATA[Copy current layout to clipboard as PNG]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/isl-ingenierie/qgis/plugin_layout_clipboard]]></homepage>
        <file_name>layout_clipboard.0.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_fIteKRq.svg</icon>
        <author_name><![CDATA[Nicolas GODET]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layout_clipboard/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2026-01-15T13:04:23.458701+00:00</create_date>
        <update_date>2026-01-16T06:59:30.720763+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/isl-ingenierie/qgis/plugin_layout_clipboard/-/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/isl-ingenierie/qgis/plugin_layout_clipboard]]></repository>
        <tags><![CDATA[export,png,clipboard,layout]]></tags>
        <downloads>577</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="YF_Tools_Plus" version="2.3" plugin_id="4557">
        <description><![CDATA[Unified plugin for surveying: create polygons from Excel/CSV, segment them with azimuth/angle calculations, and export to Excel with one click.]]></description>
        <about><![CDATA[YF Tools Plus is a surveying plugin that allows you to quickly create polygons from Excel, significantly reducing map creation time. It also allows you to create and segment the polygon into lines cut by vertices, obtaining perimetric and azimuth measurements. The tool automatically organizes the data table so that it can be included directly in the map composer, complying with the structure required by Peruvian cadastre standards. It also includes a function that allows you to export tables to Excel, which opens automatically with one click, without the need to generate temporary files.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yurifabian/YF_Tools_Plus]]></homepage>
        <file_name>YF_Tools_Plus.2.3.zip</file_name>
        <icon>/media/packages/2026/icon_2zwV9jG.png</icon>
        <author_name><![CDATA[Yuri Caller]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/YF_Tools_Plus/version/2.3/download/</download_url>
        <uploaded_by><![CDATA[yuricaller]]></uploaded_by>
        <create_date>2026-01-15T15:56:10.716611+00:00</create_date>
        <update_date>2026-03-26T16:27:46.494866+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yurifabian/YF_Tools_Plus/issues]]></tracker>
        <repository><![CDATA[https://github.com/yurifabian/YF_Tools_Plus]]></repository>
        <tags><![CDATA[excel,export,polygon,topography,tools,csv,cadastre,azimuth,segment,surveying]]></tags>
        <downloads>381</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sudan Data Loader" version="2.3.4" plugin_id="4593">
        <description><![CDATA[A comprehensive Sudan GIS toolkit for loading, visualizing, and analyzing administrative boundary data]]></description>
        <about><![CDATA[A full-featured QGIS plugin for Sudan administrative data management and analysis.

=== PHASE 1: Quick Wins ===
- Settings/Configuration Dialog with QSettings persistence
- Layer Selection Dialog with checkboxes and remember selection
- Quick Labeling Tools (English, Arabic, P-Codes)
- Style Preset Switcher (Default, Satellite-Friendly, Grayscale, Humanitarian)
- Data Info Panel showing version, feature counts, CRS, extent

=== PHASE 2: Core Features ===
- Search/Filter Panel with autocomplete (English &amp; Arabic)
- Quick Navigation Bookmarks for all 18 states + custom bookmarks
- Statistics Panel with area calculations and CSV export
- Attribute Query Builder with visual interface
- Basemap Integration (OSM, Satellite, Humanitarian, CartoDB)
- Report Generation (HTML/PDF) - Summary and State Profiles

=== PHASE 3: Advanced Features ===
- Export Features to GeoPackage, Shapefile, GeoJSON, KML, CSV, DXF
- Sketching/Drawing Tools (Points, Lines, Polygons)
- Processing Tools (Clip by State, Buffer, Dissolve, Intersection)
- Data Validation Checker (Geometry, Topology, Attributes)

=== External Data Sources ===
- HDX (Humanitarian Data Exchange) Integration
- Browse and download Sudan humanitarian datasets
- Health facilities, roads, education, conflict data
- Direct layer loading from HDX

- ACLED (Armed Conflict Location &amp; Event Data) Integration
- Real-time conflict event tracking for Sudan
- Filter by date range, event type, region
- Styled visualization with categorized symbols
- Event statistics and detailed information

Data layers included:
- Admin 0: Country boundary
- Admin 1: States (18)
- Admin 2: Localities
- Administrative lines
- Administrative points]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Osman-Geomatics93/sudan_data_loader]]></homepage>
        <file_name>sudan_data_loader.2.3.4.zip</file_name>
        <icon>/media/packages/2026/icon_E2J9SfF.png</icon>
        <author_name><![CDATA[Osman Ibrahim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sudan_data_loader/version/2.3.4/download/</download_url>
        <uploaded_by><![CDATA[osman93]]></uploaded_by>
        <create_date>2026-01-16T14:18:47.074046+00:00</create_date>
        <update_date>2026-01-16T20:44:28.867343+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Osman-Geomatics93/sudan_data_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/Osman-Geomatics93/sudan_data_loader]]></repository>
        <tags><![CDATA[vector,search,export,labeling,statistics,processing,validation,health,download,education,basemap,geopackage,boundaries,conflict,administrative,africa,humanitarian,sudan,sketching,bookmarks,hdx,acled,crisis]]></tags>
        <downloads>254</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="邻区规划工具" version="3.0.0" plugin_id="4594">
        <description><![CDATA[A QGIS tool for 4G/5G neighbor cell planning. Automates neighbor relationship recommendations with distance-azimuth matching, enables batch processing and CSV export.（一款用于 4G/5G 邻区规划的 QGIS 工具。通过距离 - 方位角匹配自动生成邻区关系建议，支持批量处理和 CSV 导出。）]]></description>
        <about><![CDATA[This tool provides communication network engineers with efficient and accurate neighbor cell planning. It features three core modes (5G→4G, 5G→5G, 4G→4G), integrates intelligent dual-dimensional evaluation combining distance calculation and azimuth matching, adopts differentiated thresholds for macro base stations and indoor base stations, leverages QGIS spatial index technology to accelerate candidate neighbor cell screening for large-scale datasets, and supports flexible custom field mapping to adapt to data formats from different vendors.（本工具为通信网络工程师提供高效、准确的邻区规划。它具备三种核心模式（5G→4G、5G→5G、4G→4G），集成了结合距离计算与方位角匹配的智能双维度评估，针对宏基站和室内基站采用差异化阈值，利用 QGIS 空间索引技术加速大规模数据集的候选邻区筛选，并支持灵活的自定义字段映射，以适配不同厂商的数据格式。）]]></about>
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        <description><![CDATA[Train YOLO11 and Pytorch models directly in QGIS with real-time monitoring]]></description>
        <about><![CDATA[about=QModel Trainer is a QGIS plugin for deep learning model training. It supports SMP, Mask R-CNN, and YOLO11 models with data augmentation, learning rate finder, resume training, early stopping, HTML reports, and QMTP export. AI features require QGeoAI Server for PyTorch/CUDA acceleration. Supports both GPU and CPU training.]]></about>
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        <description><![CDATA[Deep Learning inference plugin using .qmtp models]]></description>
        <about><![CDATA[about=QPredict is a QGIS plugin for detection, instance and semantic segmentation inference using .qmtp models generated by QModel Trainer. Features include sliding window inference, batch processing, GPU support, and multiple output formats (class raster, probability raster, vector layer). AI features require QGeoAI Server.]]></about>
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        <homepage><![CDATA[https://qgeoai.nextelia.fr]]></homepage>
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        <author_name><![CDATA[Nextelia]]></author_name>
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        <description><![CDATA[Essential processing tools for GeoAI workflows - post-processing, raster operations, and vector utilities]]></description>
        <about><![CDATA[QToolbox is part of the QGeoAI Tools ecosystem. It provides a comprehensive collection of processing tools designed to complement the GeoAI workflow:

POST-PROCESSING TOOLS:
• Building Regulariser: Regularise building polygons by adjusting angles and edges for cleaner, more orthogonal geometries
• Smoothify: Smooth polygon geometries using advanced algorithms

RASTER TOOLS:
• Resample: Simple and efficient raster resampling with multiple interpolation methods (bilinear, nearest, cubic, etc.)
• More tools coming soon...

VECTOR TOOLS:
• Geometry operations and utilities
• More tools coming soon...

All tools feature intuitive interfaces with real-time progress tracking and detailed logging. Perfect for cleaning up AI predictions, preparing datasets, and performing common GIS operations efficiently. Requires a local installation of QGeoAI Server.]]></about>
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        <author_name><![CDATA[Nextelia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qtoolbox/version/0.9.0/download/</download_url>
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        <description><![CDATA[A high-performance tool for smoothly scrubbing through bands of hyperspectral or multi-band rasters.]]></description>
        <about><![CDATA[This plugin solves the lag associated with viewing large multi-band datasets. It caches the current view into RAM, allowing for instant, smooth scrubbing between bands. Ideal for hyperspectral analysis, time-series review, and drone imagery.]]></about>
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        <author_name><![CDATA[Swapnil Goel, Pixxel]]></author_name>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SwapGoel/QGIS-Slider-Tool/issues]]></tracker>
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        <tags><![CDATA[raster,animation,visualization,quality,hyperspectral,bands,bbr]]></tags>
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        <description><![CDATA[Algorithm for fast product kernel density estimation and spatial analysis of large geospatial datasets]]></description>
        <about><![CDATA[This QGIS plugin performs fast product kernel density estimation, generating high‐resolution kernel density visualizations for large geospatial datasets. The algorithm has achieved optimal time complexity for this type of method.]]></about>
        <trusted>False</trusted>
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        <author_name><![CDATA[MASS-group]]></author_name>
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        <uploaded_by><![CDATA[masspkdv]]></uploaded_by>
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        <tags><![CDATA[python,analysis,spatial,product kernel density]]></tags>
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        <server>False</server>
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        <description><![CDATA[Professional tool for batch renaming layers with advanced features]]></description>
        <about><![CDATA[Advanced batch renaming with numbering, templates, validation, and more]]></about>
        <trusted>False</trusted>
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        <author_name><![CDATA[Mukesh Ray]]></author_name>
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        <uploaded_by><![CDATA[jojohn246]]></uploaded_by>
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        <repository><![CDATA[https://github.com/CustomCartographix/LandCoverDownloader]]></repository>
        <tags><![CDATA[python,land cover,sentinel-2]]></tags>
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        <description><![CDATA[FAO WaPOR-based water productivity analysis for irrigation performance assessment]]></description>
        <about><![CDATA[Integrates FAO WaPOR remote sensing data for comprehensive water productivity analysis.

Features:
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- Seasonal aggregation with customizable Kc values
- Performance indicators (uniformity, beneficial fraction, adequacy, RWD)
- Land and water productivity calculation
- Productivity gap analysis and bright spot identification
- Land cover masking (Sentinel 2A crop classification support)
- Full pipeline automation with reproducible manifests

Based on IHE Delft WAPORWP methodology.
Requires WaPOR API token from https://wapor.apps.fao.org/profile]]></about>
        <trusted>False</trusted>
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        <author_name><![CDATA[Osman Ibrahim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wapor_water_productivity/version/0.6.6/download/</download_url>
        <uploaded_by><![CDATA[osman93]]></uploaded_by>
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        <tags><![CDATA[water,land cover,productivity,remote sensing,food security,agriculture,masking,evapotranspiration,irrigation,wapor,fao]]></tags>
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        <tags><![CDATA[layer,toggle,features,visibility,panel]]></tags>
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        <about><![CDATA[Production-ready least-squares adjustment plugin for professional surveying workflows.

Features:
- 2D Classical Adjustment (distances, directions, angles)
- 1D Leveling Adjustment (height differences)
- 3D GNSS Baseline Adjustment (with full covariance)
- Mixed Adjustment (classical + GNSS + leveling combined)
- Robust Estimation via IRLS (Huber, Danish, IGG-III)
- Constraint Health Analysis with actionable messages
- Optional Auto-Datum for quick exploration
- Chi-square global test, redundancy numbers, MDB, external reliability
- Error ellipses with confidence scaling
- JSON + HTML reports
- GeoPackage output with adjusted points, ellipses, residual vectors]]></about>
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        <icon>/media/packages/2026/icon_u8VZlgi.png</icon>
        <author_name><![CDATA[Osman Ibrahim]]></author_name>
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        <uploaded_by><![CDATA[osman93]]></uploaded_by>
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        <tags><![CDATA[network analysis,statistics,leveling,surveying,gnss,geodesy,adjustment,least squares]]></tags>
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        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Direction Point Tool" version="0.2" plugin_id="4644">
        <description><![CDATA[Adds in point features by dragging in a direction/bearing]]></description>
        <about><![CDATA[This plugin adds a tool to drag out a direction on a point - good for adding in point arrows that should be facing a certain direction, or for digitising bird surveys where you want to capture the flight direction of the record. To add a directional point - just click (hold) and drag in the direction you want (then let go).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Skipper-is/QGIS_Directional_Point_Tool]]></homepage>
        <file_name>direction_point_tool.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_I8szooI.png</icon>
        <author_name><![CDATA[LC Ecological Services]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/direction_point_tool/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[skipper]]></uploaded_by>
        <create_date>2026-01-23T11:24:28.852814+00:00</create_date>
        <update_date>2026-03-24T10:48:17.746331+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Skipper-is/QGIS_Directional_Point_Tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/Skipper-is/QGIS_Directional_Point_Tool]]></repository>
        <tags><![CDATA[vector,python,point,digitisation]]></tags>
        <downloads>520</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoConfirmed" version="1.5.0" plugin_id="4645">
        <description><![CDATA[Query and visualize geolocated conflict data from GeoConfirmed.org]]></description>
        <about><![CDATA[Import and visualize geolocated conflict events from GeoConfirmed.org directly in QGIS. GeoConfirmed is a community-driven OSINT project that verifies and maps military equipment losses, troop movements, and other conflict-related events using open source imagery and videos.

Key features:
- Browse multiple conflicts with powerful filtering (date, keywords, factions, military units)
- Server-side filtering for fast queries on large datasets
- Spatial filters: search within radius, canvas extent, or polygon boundaries
- ORBAT (Order of Battle) tree view for filtering by military unit hierarchy
- Auto-styling with official GeoConfirmed icons or unit emblems/patches
- Temporal controller integration for animated timeline visualization
- Export to memory layer or GeoPackage for offline analysis
- Direct links to original source material for verification

Ideal for researchers, analysts, journalists, and anyone tracking conflict developments through verified open source intelligence.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoconfirmed.org]]></homepage>
        <file_name>geoconfirmed_qgis.1.5.0.zip</file_name>
        <icon>/media/packages/2026/pwBSJ1up_400x400_I7ckDKV.jpg</icon>
        <author_name><![CDATA[COUPSURE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoconfirmed_qgis/version/1.5.0/download/</download_url>
        <uploaded_by><![CDATA[coupsure]]></uploaded_by>
        <create_date>2026-01-23T22:11:32.284642+00:00</create_date>
        <update_date>2026-01-31T19:15:26.658329+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Silverfish94/GeoConfirmed-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Silverfish94/GeoConfirmed-QGIS]]></repository>
        <tags><![CDATA[statistics,events,conflict,timeline,military,geolocation,ukraine,faction,orbat,geoconfirmed,osint]]></tags>
        <downloads>502</downloads>
        <average_vote>3.999200159968006</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Japanese Area Unit" version="1.0.0" plugin_id="4646">
        <description><![CDATA[Converts area values between metric (square meters, hectares) and traditional Japanese units (tsubo, se, tan, cho).]]></description>
        <about><![CDATA[This plugin converts area values between metric units (square meters, hectares) and traditional Japanese area units.
Supported Japanese units:
- Tsubo (坪): 3.306 m²
- Se (畝): 99.17 m²
- Tan (反): 991.7 m²
- Cho (町): 9917 m²
Useful for land surveying, real estate, and agricultural applications in Japan.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://link-field.jp/]]></homepage>
        <file_name>japanese_area_unit.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_smn7Wzo.png</icon>
        <author_name><![CDATA[link-field]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/japanese_area_unit/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[linkfield]]></uploaded_by>
        <create_date>2026-01-24T04:43:15.360438+00:00</create_date>
        <update_date>2026-01-24T04:43:17.501299+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/akitaneko1127/japanese_area_unit/issues]]></tracker>
        <repository><![CDATA[https://github.com/akitaneko1127/japanese_area_unit]]></repository>
        <tags><![CDATA[conversion,area,land,japan,surveying,japanese,unit,se,tan,tsubo,cho]]></tags>
        <downloads>150</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ReinfoLib for QGIS" version="1.0.2" plugin_id="4647">
        <description><![CDATA[Access Japan&#x27;s Real Estate Information Library (MLIT) API directly from QGIS.]]></description>
        <about><![CDATA[This plugin provides direct access to the Real Estate Information Library API
provided by Japan&#x27;s Ministry of Land, Infrastructure, Transport and Tourism (MLIT).

Features:
- Retrieve real estate transaction prices and land values
- Access urban planning data (zoning, fire prevention areas, etc.)
- Get facility information (schools, hospitals, welfare facilities)
- View disaster risk data (flood, landslide, tsunami)
- Export data as GeoPackage, GeoJSON, Shapefile, or CSV

Requirements:
- API key from MLIT (free registration required)
- Internet connection]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://link-field.jp/]]></homepage>
        <file_name>reinfolib_qgis.1.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_DAQFGXT.png</icon>
        <author_name><![CDATA[Link Field]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/reinfolib_qgis/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[linkfield]]></uploaded_by>
        <create_date>2026-01-24T05:07:23.766484+00:00</create_date>
        <update_date>2026-03-10T04:15:00.867484+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/akitaneko1127/reinfolib_qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/akitaneko1127/reinfolib_qgis]]></repository>
        <tags><![CDATA[disaster,property,gis,api,urban planning,japan,real estate,land price,mlit]]></tags>
        <downloads>202</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoCAR Vision" version="1.2.0" plugin_id="4648">
        <description><![CDATA[An easy way to process sensor bands: Landsat 5 (B3, B4, B5), Landsat 8 (B4, B5, B6, B8), CBERS-4A (B5, B4, B3) and Sentinel-2 (B11, B8, B4) with pansharpening. Select the sensor, add the file with the respective bands, choose the desired output coordinate system, as well as the folder where the file will be saved, press the process button and you&#x27;re done.]]></description>
        <about><![CDATA[Plugin for processing Landsat 5 (B3, B4, B5), Landsat 8 (B4, B5, B6, B8), CBERS-4A (B5, B4, B3) and Sentinel-2 (B11, B8, B4) bands with pansharpening and reprojection, allowing sensor selection and output projection]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geoservico/GeoCAR-Vision]]></homepage>
        <file_name>geocar_vision.1.2.0.zip</file_name>
        <icon>/media/packages/2026/geocar_vision_logo.png</icon>
        <author_name><![CDATA[FORGEGEO, Eng. Cartog. Adler Alves, Tecg. Geoproc. Fabrício Marçal]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocar_vision/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[fmss]]></uploaded_by>
        <create_date>2026-01-25T02:11:20.599188+00:00</create_date>
        <update_date>2026-01-25T02:11:22.525175+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoservico/GeoCAR-Vision/issues]]></tracker>
        <repository><![CDATA[https://github.com/geoservico/GeoCAR-Vision]]></repository>
        <tags><![CDATA[raster,landsat,sentinel,remote-sensing,fusion,cbers,pansharpening]]></tags>
        <downloads>458</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QText+" version="1.0.0" plugin_id="4649">
        <description><![CDATA[Enhanced CSV/TXT import plugin for QGIS with reliable coordinate handling, CRS/UTM management, and batch import workflows.]]></description>
        <about><![CDATA[QText+ improves the import of delimited text files in QGIS by providing robust coordinate handling and efficient workflows for repetitive data production.

Key features:
• Import CSV/TXT files as editable vector layers
• Support for DD, DMS and UTM coordinate formats
• Explicit CRS definition and on-the-fly reprojection
• Batch import of multiple text files with homogeneous structure
• Merge files into a single layer or create individual layers
• Manual or assisted selection of X/Y and WKT geometry fields
• Multilingual interface (English, French, Arabic, Spanish, German, Russian, Chinese, Portuguese)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AzizT-dev/QTextplus]]></homepage>
        <file_name>QTextplus.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_1yOiSt1.png</icon>
        <author_name><![CDATA[Aziz TRAORE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QTextplus/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[aziztdev]]></uploaded_by>
        <create_date>2026-01-25T10:16:13.384852+00:00</create_date>
        <update_date>2026-01-25T10:16:15.275474+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AzizT-dev/QTextplus/issues]]></tracker>
        <repository><![CDATA[https://github.com/AzizT-dev/QTextplus]]></repository>
        <tags><![CDATA[crs,import,csv,coordinates,txt,utm,qgis,batch,dms]]></tags>
        <downloads>330</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AddPoint" version="1.3.7" plugin_id="4650">
        <description><![CDATA[Create point features from user-entered coordinates through a simplified interface.]]></description>
        <about><![CDATA[AddPoint is designed for everyday users who need the simplest possible way to create a point from a coordinate. The plugin provides a clean, intuitive panel where the user enters a coordinate and immediately creates a point vector layer. The plugin removes technical barriers and enables users without GIS expertise to accurately place locations on the map, regardless of their familiarity with QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gzorz/AddPoint]]></homepage>
        <file_name>AddPoint.1.3.7.zip</file_name>
        <icon>/media/packages/2026/540150825-56a81d9c-d43b-4edf-bbd6-d17b79b6400f.png</icon>
        <author_name><![CDATA[Grega Žorž]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AddPoint/version/1.3.7/download/</download_url>
        <uploaded_by><![CDATA[gregazorz]]></uploaded_by>
        <create_date>2026-01-25T21:16:47.043879+00:00</create_date>
        <update_date>2026-02-05T23:52:14.723420+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gzorz/AddPoint/issues]]></tracker>
        <repository><![CDATA[https://github.com/gzorz/AddPoint]]></repository>
        <tags><![CDATA[vector,editing,points,digitizing,coordinates]]></tags>
        <downloads>3054</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Export Excel" version="1.0.0" plugin_id="4651">
        <description><![CDATA[Export selected features from the active layer to an Excel (XLSX) file with custom field selection, ordering, and reusable presets.]]></description>
        <about><![CDATA[This plugin allows exporting selected features to Excel with control over fields, order, aliases, and saved presets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mauriziobeg/ExportExcel]]></homepage>
        <file_name>export_excel.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_8RF0pMT.png</icon>
        <author_name><![CDATA[Maurizio Begani]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/export_excel/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mauriziobeg]]></uploaded_by>
        <create_date>2026-01-25T21:47:58.327600+00:00</create_date>
        <update_date>2026-01-25T21:48:00.192832+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mauriziobeg/ExportExcel/issues]]></tracker>
        <repository><![CDATA[https://github.com/mauriziobeg/ExportExcel]]></repository>
        <tags><![CDATA[selection,excel,export,attributes,xlsx,presets]]></tags>
        <downloads>1426</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Simple Hopefully Reliable Integrated Music Player" version="0.9" plugin_id="4652">
        <description><![CDATA[Simple Hopefully Reliable Integrated Music Player - A simple music player plugin for QGIS. Play music while you work on your maps!]]></description>
        <about><![CDATA[Simple Hopefully Reliable Integrated Music Player - A simple music player plugin for QGIS. Play music while you work on your maps!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kacperkolbusz/qgis-simple-hopefully-reliable-integrated-music-player]]></homepage>
        <file_name>SimpleHopefullyReliableIntegratedMusicPlayer.0.9.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Kacper Kolbusz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SimpleHopefullyReliableIntegratedMusicPlayer/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[kacperkolbusz]]></uploaded_by>
        <create_date>2026-01-26T08:50:54.624100+00:00</create_date>
        <update_date>2026-01-26T08:50:56.488803+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kacperkolbusz/qgis-simple-hopefully-reliable-integrated-music-player/issues]]></tracker>
        <repository><![CDATA[https://github.com/kacperkolbusz/qgis-simple-hopefully-reliable-integrated-music-player]]></repository>
        <tags><![CDATA[music,utility,player,relax,focus]]></tags>
        <downloads>128</downloads>
        <average_vote>2.4987506246876565</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KML KMZ Converter" version="1.1.0" plugin_id="4653">
        <description><![CDATA[Convert KML/KMZ files to Shapefile, GeoPackage, or GeoJSON with CRS selection]]></description>
        <about><![CDATA[This plugin allows batch conversion of KML/KMZ files into Shapefile, GeoPackage, or GeoJSON and lets users select the output CRS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Lalitgis/KML-to-Layer]]></homepage>
        <file_name>kml_converter.1.1.0.zip</file_name>
        <icon>/media/packages/2026/logo_U6hIDUD.png</icon>
        <author_name><![CDATA[Lalit BC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kml_converter/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[lalitbc143]]></uploaded_by>
        <create_date>2026-01-26T21:11:06.340150+00:00</create_date>
        <update_date>2026-01-26T21:11:08.319084+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Lalitgis/KML-to-Layer/issues]]></tracker>
        <repository><![CDATA[https://github.com/Lalitgis/KML-to-Layer]]></repository>
        <tags><![CDATA[shapefile,kmz,Geopackage,Kml,GeoJson]]></tags>
        <downloads>3642</downloads>
        <average_vote>2.166486126156154</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>True</server>
    </pyqgis_plugin><pyqgis_plugin name="Censo Argentino" version="0.6.1" plugin_id="4654">
        <description><![CDATA[Load Argentine census data from Source.Coop]]></description>
        <about><![CDATA[Plugin para cargar y analizar datos del Censo Nacional 2022 de Argentina alojados en Source.Coop. Consulta archivos Parquet remotos mediante DuckDB sin necesidad de descargas. Incluye interfaz visual para explorar variables, filtros geográficos, modo SQL avanzado y caché automático de metadatos.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://nlebovits.github.io/censo-argentino-qgis/]]></homepage>
        <file_name>censo_argentino_qgis.0.6.1.zip</file_name>
        <icon>/media/packages/2026/icon_Q51dw99.png</icon>
        <author_name><![CDATA[Nissim Lebovits]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/censo_argentino_qgis/version/0.6.1/download/</download_url>
        <uploaded_by><![CDATA[nissimlebovits]]></uploaded_by>
        <create_date>2026-01-27T09:03:10.358174+00:00</create_date>
        <update_date>2026-02-09T16:01:22.830423+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nlebovits/censo-argentino-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/nlebovits/censo-argentino-qgis]]></repository>
        <tags><![CDATA[gis,data,census,duckdb,parquet,argentina]]></tags>
        <downloads>553</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vector Rubber" version="1.0.0" plugin_id="4655">
        <description><![CDATA[This plugin allows removing features from multiple vector layers at once.]]></description>
        <about><![CDATA[This plugin allows removing features from multiple vector layers at once.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NB34911/Vector-Rubber-plugin-for-QGIS]]></homepage>
        <file_name>VectorRubber0.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_D3yTvwR.svg</icon>
        <author_name><![CDATA[Natalia Budzińska]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VectorRubber0/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[nataliabudzinska]]></uploaded_by>
        <create_date>2026-01-27T20:52:44.308518+00:00</create_date>
        <update_date>2026-01-27T20:52:46.602594+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NB34911/Vector-Rubber-plugin-for-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/NB34911/Vector-Rubber-plugin-for-QGIS]]></repository>
        <tags><![CDATA[vector,selection,editing,delete,productivity,multi-layer]]></tags>
        <downloads>288</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Asphalt Intelligence" version="0.1.0" plugin_id="4656">
        <description><![CDATA[Raster preparation and mapping tools for consistent EPSG:3857 GIS workflows (JPG+JGW, MrSID, GeoTIFF).]]></description>
        <about><![CDATA[Asphalt Intelligence is a QGIS dock-based plugin that streamlines raster imagery preparation for pavement and road-surface analysis workflows. It provides guided tools to load, validate, reproject, and convert common raster formats (GeoTIFF, JPG + JGW, MrSID) into a consistent EPSG:3857 coordinate system. The plugin also helps users add raster layers alongside a basemap to view outputs in spatial context. It is designed to reduce setup time, enforce CRS consistency, and support repeatable geospatial preprocessing for transportation, infrastructure, and surface-condition analysis projects.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.asphaltintelligence.com/qgis]]></homepage>
        <file_name>asphalt_intelligence.0.1.0.zip</file_name>
        <icon>/media/packages/2026/logo_alpha.png</icon>
        <author_name><![CDATA[Asphalt Intelligence, LLC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/asphalt_intelligence/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[asphaltintel]]></uploaded_by>
        <create_date>2026-01-27T23:30:42.499489+00:00</create_date>
        <update_date>2026-01-27T23:30:44.346927+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/asphaltintelligence/asphalt-intelligence-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/asphaltintelligence/asphalt-intelligence-qgis]]></repository>
        <tags><![CDATA[raster,roads,gdal,reprojection,imagery,pavement]]></tags>
        <downloads>447</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Conduit Dynamic Buffer" version="2" plugin_id="4657">
        <description><![CDATA[VARIABLE WIDTH BUFFER]]></description>
        <about><![CDATA[QGIS plugin to generate dynamic buffers around hydraulic network conduits based on their dimensions (width/diameter). It also allows you to export 3D faces for Civil 3D. Developed for the Peruvian Water School (EPA).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SDTC08/Variable-width-buffer]]></homepage>
        <file_name>conduit_buffer_plugin.2.zip</file_name>
        <icon>/media/packages/2026/icon_nIwejrL.png</icon>
        <author_name><![CDATA[Michel Cueva &amp; DTC - EPA - Escuela Peruana del Agua]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/conduit_buffer_plugin/version/2/download/</download_url>
        <uploaded_by><![CDATA[damtc]]></uploaded_by>
        <create_date>2026-01-28T04:54:47.698650+00:00</create_date>
        <update_date>2026-02-03T04:50:53.235189+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SDTC08/Variable-width-buffer]]></tracker>
        <repository><![CDATA[https://github.com/SDTC08/Variable-width-buffer]]></repository>
        <tags><![CDATA[hydraulic,dxf,buffer,excavation,surface,conduit,walls,icm,infoworks,civil3d,3dface]]></tags>
        <downloads>314</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Japan CRS Selector" version="1.0.0" plugin_id="4658">
        <description><![CDATA[Automatically detect and set Japan Plane Rectangular Coordinate Systems (zones I-XIX). 日本の平面直角座標系を自動判別・設定。]]></description>
        <about><![CDATA[This plugin helps surveyors and GIS professionals working in Japan to easily identify and set the appropriate Japan Plane Rectangular Coordinate System.

Features:
- Auto-detect coordinate system from latitude/longitude
- Support for JGD2024, JGD2011, JGD2000 datums
- Coordinate conversion tool (lat/lon &lt;-&gt; plane rectangular)
- X/Y axis swap for survey coordinates (N=Y, E=X)
- Zone list display (all 19 zones with origin and regions)

日本の測量業務やGIS業務で必要な平面直角座標系（第I系〜第XIX系）を、緯度経度から自動判別し、プロジェクトCRSに設定できます。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://link-field.jp/]]></homepage>
        <file_name>japan_crs_selector.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_5RW3BCh.png</icon>
        <author_name><![CDATA[link-field]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/japan_crs_selector/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[linkfield]]></uploaded_by>
        <create_date>2026-01-28T06:21:26.785453+00:00</create_date>
        <update_date>2026-01-28T06:21:28.647974+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/akitaneko1127/japan_crs_selector/issues]]></tracker>
        <repository><![CDATA[https://github.com/akitaneko1127/japan_crs_selector]]></repository>
        <tags><![CDATA[transformation,crs,coordinate system,japan,surveying,plane rectangular,jgd2000,jgd2011,jgd2024]]></tags>
        <downloads>197</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Japan Fude Polygon Loader" version="1.0.0" plugin_id="4659">
        <description><![CDATA[Download and load MAFF Fude Polygon (Japanese farmland parcel data) directly into QGIS. 農林水産省の筆ポリゴンデータを直接ダウンロード・読込。]]></description>
        <about><![CDATA[This plugin provides easy access to the Fude Polygon data published by the Ministry of Agriculture, Forestry and Fisheries of Japan (MAFF).

Features:
- Prefecture/Municipality selection UI
- Automatic download from MAFF Fude Polygon site
- Local cache management
- Auto-load as styled vector layer (EPSG:6668)
- Land type color coding (Rice field=blue, Upland field=yellow)

農林水産省が公開する筆ポリゴン（農地区画情報）データを簡単にダウンロード・読込できます。
都道府県・市区町村を選択するだけで、データ取得から表示まで自動で行います。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://link-field.jp/]]></homepage>
        <file_name>japan_fude_polygon_loader.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_EdGl4m3.png</icon>
        <author_name><![CDATA[link-field]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/japan_fude_polygon_loader/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[linkfield]]></uploaded_by>
        <create_date>2026-01-28T08:50:46.292639+00:00</create_date>
        <update_date>2026-01-28T08:50:48.347413+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/akitaneko1127/japan_fude_polygon_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/akitaneko1127/japan_fude_polygon_loader]]></repository>
        <tags><![CDATA[polygon,geojson,download,agriculture,japan,parcel,farmland,fude,maff]]></tags>
        <downloads>172</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Subset Raster" version="1.0.1" plugin_id="4660">
        <description><![CDATA[This plugin allows user to create subset of a raster.]]></description>
        <about><![CDATA[This plugin allows user to create subset of a raster.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/caliskanmurat/qgis_subset_raster_plugin]]></homepage>
        <file_name>subset_raster.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_ub9iCtJ.png</icon>
        <author_name><![CDATA[Murat Çalışkan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/subset_raster/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[muratcaliskan]]></uploaded_by>
        <create_date>2026-01-28T13:40:46.980986+00:00</create_date>
        <update_date>2026-01-30T11:28:29.125075+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caliskanmurat/qgis_subset_raster_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/caliskanmurat/qgis_subset_raster_plugin/tree/main/subset_raster]]></repository>
        <tags><![CDATA[python,raster,mask,clip,crop,subset]]></tags>
        <downloads>280</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Curved RTL Label Fixer" version="0.3.1" plugin_id="4662">
        <description><![CDATA[Fix rendering of RTL labels on curved lines]]></description>
        <about><![CDATA[Fix rendering of RTL labels on curved lines.
Correctly display RTL text in labels of curved lines,
by adding an expression engine function called &quot;normalize_rtl_label&quot; and applies it to all labels with &quot;Curved&quot; placement.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bogind/curved_label_fixer]]></homepage>
        <file_name>curved_label_fixer.0.3.1.zip</file_name>
        <icon>/media/packages/2026/label_fixer_icon_MGg1lvI.png</icon>
        <author_name><![CDATA[Dror Bogin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/curved_label_fixer/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[bogind]]></uploaded_by>
        <create_date>2026-01-28T20:20:52.794141+00:00</create_date>
        <update_date>2026-02-25T06:49:56.777248+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bogind/curved_label_fixer/issues]]></tracker>
        <repository><![CDATA[https://github.com/bogind/curved_label_fixer]]></repository>
        <tags><![CDATA[python,labeling,vector tiles,labels,rtl]]></tags>
        <downloads>337</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Japan Forest Tools" version="1.0.1" plugin_id="4663">
        <description><![CDATA[Download and visualize Japanese forest open data (Forest Agency tree species, DEM, CS relief map, prefectural forest planning maps, OSM forest roads). 日本の森林オープンデータ（林野庁樹種ポリゴン・DEM・CS立体図、都道府県森林計画図、OSM林道）のダウンロード・可視化ツール。]]></description>
        <about><![CDATA[Japan Forest Tools provides easy access to Japanese forest-related open data.

Features:
- Forest Agency open data: tree species polygons (GeoPackage/vector tiles), DEM, CS relief map, slope classification
- National land information: national forest boundaries, forest area data
- Prefectural forest planning maps (rinpan/shohan boundaries)
- OSM forest road data (track/path)
- Layer opacity and CS map color settings

日本の森林関連オープンデータに簡単にアクセスできるプラグインです。
- 林野庁オープンデータ（樹種ポリゴン・DEM・CS立体図・傾斜区分図）
- 国土数値情報（国有林野・森林地域）
- 都道府県森林計画図（林班・小班）
- OSM林道データ（track/path）
- レイヤ透過度・CS立体図色設定

Note: This plugin requires internet access to download data from public APIs.
Spatial coverage: Japan only. Some data types are limited to specific prefectures.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/akitaneko1127/japan_forest_tools]]></homepage>
        <file_name>japan_forest_tools.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_vhQxNGS.png</icon>
        <author_name><![CDATA[link-field]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/japan_forest_tools/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[linkfield]]></uploaded_by>
        <create_date>2026-01-29T01:57:31.940320+00:00</create_date>
        <update_date>2026-01-29T02:00:09.792096+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/akitaneko1127/japan_forest_tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/akitaneko1127/japan_forest_tools]]></repository>
        <tags><![CDATA[road,dem,forest,forestry,japan,tree,森林,林野庁,dchm,林業,rinnya]]></tags>
        <downloads>265</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PyArchInit Installer" version="1.2.0" plugin_id="4665">
        <description><![CDATA[Installer and updater for PyArchInit plugin. Download and install master, development or sketcher branches.]]></description>
        <about><![CDATA[This plugin allows you to easily install or update PyArchInit directly from GitHub.
You can choose between the stable master branch, the development branch (qt6-migration)
or the sketcher sketching tools branch (Stratigraph_00001).
The plugin automatically handles existing installations, removing old versions and ensuring
the plugin is correctly named as &#x27;pyarchinit&#x27;.
Compatible with both QGIS 3.x (Qt5) and QGIS 4.x (Qt6).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enzococca/pyarchinit_installer]]></homepage>
        <file_name>pyarchinit_installer.1.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_VY3JL6b.png</icon>
        <author_name><![CDATA[ENZO COCCA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pyarchinit_installer/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[enzo]]></uploaded_by>
        <create_date>2026-01-30T11:13:52.842386+00:00</create_date>
        <update_date>2026-03-26T15:17:19.491612+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enzococca/pyarchinit_installer/issues]]></tracker>
        <repository><![CDATA[https://github.com/enzococca/pyarchinit_installer]]></repository>
        <tags><![CDATA[update,archaeology,qt6-compatible,sketching,pyarchinit,installer,sketcher]]></tags>
        <downloads>329</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NewQuickAzimuthPlus" version="1.3.0" plugin_id="4669">
        <description><![CDATA[🧭 NewQuickAzimuthPlus: Digitize polygons by entering azimuth and distance values, or extract azimuth/distance from existing polygons.]]></description>
        <about><![CDATA[An interactive QGIS plugin to create precise polygons using azimuths and distances, and reverse-engineer geometry from selected polygons back into azimuth/distance tables.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/oseyiajibare/QuickAzimuth-]]></homepage>
        <file_name>NewQuickAzimuthPlus.1.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_oQ59bid.png</icon>
        <author_name><![CDATA[Seyi Ajibare]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NewQuickAzimuthPlus/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[skillz001]]></uploaded_by>
        <create_date>2026-01-30T15:01:35.988824+00:00</create_date>
        <update_date>2026-02-02T11:17:48.914646+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/oseyiajibare/QuickAzimuth-/issues]]></tracker>
        <repository><![CDATA[https://github.com/oseyiajibare/QuickAzimuth-]]></repository>
        <tags><![CDATA[distance,polygon,digitizing,geometry,measurement,azimuth,qgis,surveying]]></tags>
        <downloads>287</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AI Segmentation by TerraLab" version="0.9.6" plugin_id="4670">
        <description><![CDATA[Segment buildings, vegetation, or any object in your raster using AI, refine &amp; export as vector polygons]]></description>
        <about><![CDATA[Point-and-click AI segmentation tool that turns raster objects into vector polygons.

• Fully automatic: AI model and dependencies install themselves

• Works on any layer: local rasters (GeoTIFF, JPG, PNG) &amp; online layers (WMS, XYZ tiles)

• Precise: positive and negative click points control boundaries

• Refinable: expand, contract, simplify, round corners, fill holes

• Fast: Real-time segmentation &amp; optimized for your hardware

• Universal: Windows, macOS, Linux

• Multilingual: English, French, Portuguese, Spanish]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://terra-lab.ai/ai-segmentation]]></homepage>
        <file_name>AI_Segmentation.0.9.6.zip</file_name>
        <icon>/media/packages/2026/icon_qHOUcsN.png</icon>
        <author_name><![CDATA[Yvann and Lilien from TerraLab]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AI_Segmentation/version/0.9.6/download/</download_url>
        <uploaded_by><![CDATA[lilienauger]]></uploaded_by>
        <create_date>2026-01-30T17:35:28.352307+00:00</create_date>
        <update_date>2026-04-16T08:27:24.510361+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TerraLabAI/QGIS_AI-Segmentation/issues]]></tracker>
        <repository><![CDATA[https://github.com/TerraLabAI/QGIS_AI-Segmentation]]></repository>
        <tags><![CDATA[python,raster,export,polygon,digitizing,land cover,classification,remote sensing,drone,feature extraction,satellite,automatic,machine learning,segmentation,vectorization,deep learning,satellite imagery,image segmentation,artificial intelligence,building detection,automation,ai,computer vision,pytorch,object detection,interactive,ia]]></tags>
        <downloads>20555</downloads>
        <average_vote>4.72313715741719</average_vote>
        <rating_votes>177</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapLogis" version="1.8.11" plugin_id="4672">
        <description><![CDATA[MapLogis is a QGIS plugin that allows users to geocode addresses from CSV files using the MapLogis API.
The plugin can also order points, generate routes, and create point and route layers directly in QGIS.
All network requests are explicitly triggered by the user through the plugin interface.]]></description>
        <about><![CDATA[MapLogis is a QGIS plugin designed to integrate MapLogis geospatial services into QGIS workflows.
It allows users to read CSV files containing addresses, perform geocoding, order points, and generate optimized routes using the MapLogis APIs.
The plugin currently supports address geocoding for locations in Brazil.
The plugin automatically creates point and route layers in QGIS and can also export a CSV file containing the ordered points or geocoding results only.
All operations and network requests are initiated explicitly by the user through the plugin interface.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://maplogis.com/]]></homepage>
        <file_name>MapLogis.1.8.11.zip</file_name>
        <icon>/media/packages/2026/icone.png</icon>
        <author_name><![CDATA[Maplogis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MapLogis/version/1.8.11/download/</download_url>
        <uploaded_by><![CDATA[maplogis]]></uploaded_by>
        <create_date>2026-01-30T20:32:46.760965+00:00</create_date>
        <update_date>2026-01-30T20:32:48.700108+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://maplogis.com/suporte]]></tracker>
        <repository><![CDATA[https://maplogis.com/]]></repository>
        <tags><![CDATA[geocoding,routing,logistics,maplogis]]></tags>
        <downloads>261</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Carbon Calculator" version="0.1.3" plugin_id="4673">
        <description><![CDATA[Provides estimates of carbon density from remotely sensed pictures taken with drones based on different biomes.]]></description>
        <about><![CDATA[The TNC Carbon Calculator is used to estimate carbon density from remotely sensed pictures taken from drones depending on the biome. It currently accepts only Point Cloud and Canopy Height Model inputs.
This plugin was developed for QGIS with the objective of democratizing access to remote sensing–based methodologies for estimating aboveground vegetation biomass and carbon stocks. It is intended for society as a whole, particularly researchers and technical staff from environmental NGOs, Higher Education Institutions (HEIs), and public-sector managers who use data from low-cost drones (equipped with RGB, multispectral, or LiDAR sensors), including intermediate products such as Canopy Height Models (CHM) or point clouds, to calculate biomass and carbon estimates in a fast, replicable, and scientifically robust manner. Integrated into the QGIS workflow, the plugin applies models calibrated for the Cerrado, Atlantic Forest, and Amazon biomes using forest inventory data and LiDAR measurements, supporting ecological restoration monitoring, carbon credit initiatives, and MRV (Monitoring, Reporting, and Verification) systems, while expanding the scale and frequency of environmental monitoring in the context of climate change.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Troloze/Plugin-TNC-Calculadora-de-Carbono]]></homepage>
        <file_name>tnccarboncalculator.0.1.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Vitor Di Lorenzzi Nunes da Cunha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tnccarboncalculator/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[troloze]]></uploaded_by>
        <create_date>2026-01-31T15:05:47.296480+00:00</create_date>
        <update_date>2026-02-26T17:54:57.752715+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Troloze/Plugin-TNC-Calculadora-de-Carbono/issues]]></tracker>
        <repository><![CDATA[https://github.com/Troloze/Plugin-TNC-Calculadora-de-Carbono]]></repository>
        <tags><![CDATA[calculator,python,amazon,carbon,cerrado]]></tags>
        <downloads>561</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="32BT Feature Annotation Toolbar" version="1.1" plugin_id="4674">
        <description><![CDATA[Quickly add and manage annotated pointfeatures in a dedicated layer.]]></description>
        <about><![CDATA[This plugin provides a toolbar to quickly pin captions to locations of interest. It features predefined and customizable captions that can be selected when you pin a location, and allows additional information to be entered. Markers can be placed quickly and easily near points-of-interest, and are accompanied by a note which is visible in the marker&#x27;s label. The markerslayer is a plain pointlayer which can be exported and manipulated by the usual methods, and customized to taste. The process is applicable in many situations, and is easily adaptable to various workflows.

The plugin also features managementfunctions to group and categorize your workload in batches. You can quickly start a session which generates a dedicated folder with geojson items and includes a simple, accessible logfile. Features can additionally be locked as active, while being assigned to separate groups if necessary. When features are no longer needed, they can be archived.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>5.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/32BT/QGIS-32BT-Feature-Annotation-Toolbar/blob/master/README.md]]></homepage>
        <file_name>QGIS_32BT_Feature_Annotation_Toolbar.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_wtbRSOn.svg</icon>
        <author_name><![CDATA[32BT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS_32BT_Feature_Annotation_Toolbar/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[32bt]]></uploaded_by>
        <create_date>2026-02-01T07:43:31.356143+00:00</create_date>
        <update_date>2026-03-23T07:36:59.252884+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/32BT/QGIS-32BT-Feature-Annotation-Toolbar/issues]]></tracker>
        <repository><![CDATA[https://github.com/32BT/QGIS-32BT-Feature-Annotation-Toolbar]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>3856</downloads>
        <average_vote>4.195019633667472</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="7-Param Helmert Transform" version="1.0.0" plugin_id="4675">
        <description><![CDATA[Least squares 7-parameter Helmert transformation with error ellipses and Baarda data snooping]]></description>
        <about><![CDATA[Plugin for 7-parameter Helmert transformation with statistical analysis]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lazicsasalaki/7ParamTransform]]></homepage>
        <file_name>SevenParamTransform.1.0.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Saša Lazić, dipl.inž. geodezije]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SevenParamTransform/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[sasalazic]]></uploaded_by>
        <create_date>2026-02-03T08:15:26.558088+00:00</create_date>
        <update_date>2026-02-03T08:15:30.375857+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lazicsasalaki/7ParamTransform/issues]]></tracker>
        <repository><![CDATA[https://github.com/lazicsasalaki/7ParamTransform.git]]></repository>
        <tags><![CDATA[transformation,geodesy,least squares,7-parameter,helmert,baarda,error ellipse]]></tags>
        <downloads>796</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kernel Raster Filter" version="1.0" plugin_id="4678">
        <description><![CDATA[Applies a custom convolution filter (kernel) to a raster layer]]></description>
        <about><![CDATA[Applies a custom convolution filter (kernel) to a raster layer using a text file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Boudadfssm/qgis-kernel-raster-filter]]></homepage>
        <file_name>filtre_kernel_raster.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_WyJ9ZkP.png</icon>
        <author_name><![CDATA[B.Boudad]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/filtre_kernel_raster/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[101bd]]></uploaded_by>
        <create_date>2026-02-03T15:12:12.417634+00:00</create_date>
        <update_date>2026-02-03T15:12:14.400142+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Boudadfssm/qgis-kernel-raster-filter]]></tracker>
        <repository><![CDATA[https://github.com/Boudadfssm/qgis-kernel-raster-filter]]></repository>
        <tags><![CDATA[raster,filter,kernel,processing,convolution]]></tags>
        <downloads>378</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OntheflyReadyCalculatorAddon" version="0.9.1" plugin_id="4679">
        <description><![CDATA[ORCA - On-the-flyReadyCalculatorAdd-on: A simple calculator plugin for QGIS that performs calculations in a dockable panel]]></description>
        <about><![CDATA[This plugin provides a calculator interface as a dockable panel in QGIS, allowing quick mathematical calculations without leaving the application.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kacperkolbusz/qgis-onthefly-ready-calculator-addon]]></homepage>
        <file_name>OntheflyReadyCalculatorAddon.0.9.1.zip</file_name>
        <icon>/media/packages/2026/main_WkMZZba.ico</icon>
        <author_name><![CDATA[Kacper Kolbusz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OntheflyReadyCalculatorAddon/version/0.9.1/download/</download_url>
        <uploaded_by><![CDATA[kacperkolbusz]]></uploaded_by>
        <create_date>2026-02-03T16:33:52.423546+00:00</create_date>
        <update_date>2026-02-03T16:33:54.236558+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kacperkolbusz/qgis-onthefly-ready-calculator-addon/issues]]></tracker>
        <repository><![CDATA[https://github.com/kacperkolbusz/qgis-onthefly-ready-calculator-addon]]></repository>
        <tags><![CDATA[calculation,utilities]]></tags>
        <downloads>138</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Toggle Hotkeys" version="1.0.0" plugin_id="4680">
        <description><![CDATA[Toggle visibility of layers with a keypress]]></description>
        <about><![CDATA[Create hotkeys to toggle layers on/off. UI: table with two columns (Key, Layer) and buttons to add/remove rows. Same key can toggle multiple layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/samkultz/layer_toggle_hotkeys]]></homepage>
        <file_name>layer_toggle_hotkeys_1_0_0.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_TO7Hr7R.png</icon>
        <author_name><![CDATA[Samuel Kultz (Kultz Engenharia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer_toggle_hotkeys_1_0_0/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[samkultz]]></uploaded_by>
        <create_date>2026-02-03T18:16:12.474105+00:00</create_date>
        <update_date>2026-02-03T18:16:14.349890+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/samkultz/layer_toggle_hotkeys/issues]]></tracker>
        <repository><![CDATA[https://github.com/samkultz/layer_toggle_hotkeys]]></repository>
        <tags><![CDATA[visibility,layers,shortcuts,hotkeys]]></tags>
        <downloads>218</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spectral Enhancement" version="0.3" plugin_id="4681">
        <description><![CDATA[Spectral Enhancement and Histogram Adjustment for Raster Layers (Single and Multi-band)]]></description>
        <about><![CDATA[This plugin provides tools for Linear Stretch, Histogram Equalization, and Gamma Correction on raster images. Supports both single-band and multi-band rasters.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Boudadfssm/Histogram_Raster_Enhancement]]></homepage>
        <file_name>spectral_raster_enhancement.0.3.zip</file_name>
        <icon>/media/packages/2026/icon_o8agy01.png</icon>
        <author_name><![CDATA[B.Boudad]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spectral_raster_enhancement/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[101bd]]></uploaded_by>
        <create_date>2026-02-03T19:23:49.940873+00:00</create_date>
        <update_date>2026-02-04T10:50:01.485172+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Boudadfssm/Histogram_Raster_Enhancement]]></tracker>
        <repository><![CDATA[https://github.com/Boudadfssm/Histogram_Raster_Enhancement]]></repository>
        <tags><![CDATA[raster,remote sensing,histogram,multispectral,gamma,enhancement]]></tags>
        <downloads>332</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoArchaeo" version="1.2.0" plugin_id="4682">
        <description><![CDATA[Advanced Geostatistical Analysis for Archaeological Research]]></description>
        <about><![CDATA[Complete geostatistical toolkit for archaeology including:
- Variogram analysis with anisotropy detection
- Multiple kriging methods (OK, UK, Co-Kriging, Spatio-temporal)
- Compositional data analysis (CLR/ILR transforms)
- Machine Learning pattern recognition
- Optimal sampling design
- Interactive Plotly visualizations
- Batch processing for large datasets
- Integration with SpatiaLite]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enzococca/GeoArchaeo]]></homepage>
        <file_name>GeoArchaeo.1.2.0.zip</file_name>
        <icon>/media/packages/2026/geoarchaeo_kVg0L3V.png</icon>
        <author_name><![CDATA[Enzo Cocca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoArchaeo/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[enzo]]></uploaded_by>
        <create_date>2026-02-04T18:46:43.103819+00:00</create_date>
        <update_date>2026-02-11T10:19:26.794722+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enzococca/GeoArchaeo/issues]]></tracker>
        <repository><![CDATA[https://github.com/enzococca/GeoArchaeo]]></repository>
        <tags><![CDATA[spatialite,interpolation,archaeology,spatial analysis,machine learning,kriging,geostatistics]]></tags>
        <downloads>759</downloads>
        <average_vote>0.9995002498750625</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Interseção Overlay" version="1.0.4" plugin_id="4683">
        <description><![CDATA[PT-BR: Gera camada temporária da interseção entre dois polígonos e calcula área/perímetro. EN: Creates a temporary layer representing the intersection between two polygons and computes area and perimeter.]]></description>
        <about><![CDATA[Plugin para QGIS que cria uma camada temporária com a interseção entre duas camadas poligonais e adiciona campos com área em m², área em hectares e perímetro em metros. O plugin recomenda o uso de CRS projetado em metros.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lopesluis/intersect_overlay]]></homepage>
        <file_name>intersect_overlay.1.0.4.zip</file_name>
        <icon>/media/packages/2026/icon_ODvnyvq.png</icon>
        <author_name><![CDATA[Luís Lopes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/intersect_overlay/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[luislopes84]]></uploaded_by>
        <create_date>2026-02-04T18:49:05.828146+00:00</create_date>
        <update_date>2026-02-13T14:52:58.602815+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lopesluis/intersect_overlay]]></tracker>
        <repository><![CDATA[https://github.com/lopesluis/intersect_overlay/issues]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>231</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qoogle" version="1.0" plugin_id="4684">
        <description><![CDATA[Open Google Maps from QGis at mouse-click location]]></description>
        <about><![CDATA[MapTool to generate callable URLs for Google Maps at Canvas-Click-Position
Three variants:
Maps -&gt; Normal Google-Maps-Mode, centered and scaled according to QGis-canvas
Places -&gt; Google Maps with marker for storing position in Google-internal-lists or calculate routes
Routes -&gt; opens Google Maps with two points in route-calculating-mode]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Ludwig-K/knoogle]]></homepage>
        <file_name>qoogle.1.0.zip</file_name>
        <icon>/media/packages/2026/Google_Maps_icon_2020.svg</icon>
        <author_name><![CDATA[Ludwig Kniprath]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qoogle/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[ludwigk]]></uploaded_by>
        <create_date>2026-02-04T22:04:37.083841+00:00</create_date>
        <update_date>2026-02-04T22:04:39.031681+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Ludwig-K/knoogle/issues]]></tracker>
        <repository><![CDATA[https://github.com/Ludwig-K/knoogle]]></repository>
        <tags><![CDATA[python,routing,google,google maps,places]]></tags>
        <downloads>2047</downloads>
        <average_vote>2.9990003332222592</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="US Demographic Reports" version="1.0.0" plugin_id="4685">
        <description><![CDATA[Generate professional demographic reports and datafills from block group data with proportional area allocation]]></description>
        <about><![CDATA[This plugin generates professional demographic reports and datafills from US Census block group data. It uses proportional area allocation for accurate spatial aggregation. Supports multiple data package tiers (Basic, Expanded, Professional). Features include point-based reports with customizable radius, polygon datafill for custom geographies, PDF report generation with custom branding, CSV export with metadata, and calculated fields (densities, weighted averages, growth rates). Ideal for demographic analysis, market research, and urban planning.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/retailgravity/qgis-demographic-reports]]></homepage>
        <file_name>demographic_reports.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_GXI4P2K.png</icon>
        <author_name><![CDATA[Retail Gravity]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/demographic_reports/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[retailgravity]]></uploaded_by>
        <create_date>2026-02-04T22:12:47.348095+00:00</create_date>
        <update_date>2026-02-04T22:12:49.187672+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/retailgravity/qgis-demographic-reports/issues]]></tracker>
        <repository><![CDATA[https://github.com/retailgravity/qgis-demographic-reports]]></repository>
        <tags><![CDATA[analysis,statistics,pdf,spatial analysis,reporting,population,census,demographics,block group]]></tags>
        <downloads>156</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Japan Land Survey Assistant" version="1.0.0" plugin_id="4686">
        <description><![CDATA[Integrated tool for Japanese cadastral survey: MOJ XML loading, Kokudo Suuchi Info, cadastral progress visualization, parcel search, and land price overlay.]]></description>
        <about><![CDATA[Japan Land Survey Assistant (日本地籍調査支援ツール) is an integrated QGIS plugin for land survey and land acquisition operations.
Features include:
- MOJ XML parcel data loading (with MOJXML Loader plugin integration)
- Kokudo Suuchi Info (National Land Numerical Information) download
- Cadastral survey progress visualization by municipality
- Parcel number search with map click identification
- Land price overlay via Real Estate Information Library API
- Automatic detection and integration with existing plugins (MOJXML Loader, jpdata, QuickDEM4JP)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://link-field.jp/]]></homepage>
        <file_name>japan_land_survey_assistant.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_AFvZBGg.png</icon>
        <author_name><![CDATA[link-field]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/japan_land_survey_assistant/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[linkfield]]></uploaded_by>
        <create_date>2026-02-05T10:07:42.427036+00:00</create_date>
        <update_date>2026-02-05T10:07:44.434350+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/akitaneko1127/japan_land_survey_assistant/issues]]></tracker>
        <repository><![CDATA[https://github.com/akitaneko1127/japan_land_survey_assistant]]></repository>
        <tags><![CDATA[survey,cadastral,xml,land,japan,surveying,parcel,moj,chiseki,kokudo]]></tags>
        <downloads>187</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MoveRaster" version="2.1" plugin_id="4687">
        <description><![CDATA[Move raster and vector layers by clicking on the map / Sposta raster e layer vettoriali cliccando sulla mappa]]></description>
        <about><![CDATA[Move raster and vector layers together by clicking a destination point on the map. Supports GeoTIFF (internal geotransform) and world files (PNG/JPG/TIFF). Features: move selected geometries only, undo support up to 10 levels, built-in tutorial, language selector (IT/EN).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.24.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enzococca/MoveRaster]]></homepage>
        <file_name>MoveRaster.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_SdgMFWF.png</icon>
        <author_name><![CDATA[Enzo Cocca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MoveRaster/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[enzo]]></uploaded_by>
        <create_date>2026-02-05T10:20:46.835892+00:00</create_date>
        <update_date>2026-02-05T10:20:48.658555+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enzococca/MoveRaster/issues]]></tracker>
        <repository><![CDATA[https://github.com/enzococca/MoveRaster]]></repository>
        <tags><![CDATA[vector,raster,translate,georeference,move,georeferencing,geotiff,world file]]></tags>
        <downloads>1072</downloads>
        <average_vote>2.249437640589852</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS YOLOX" version="1.0.0" plugin_id="4688">
        <description><![CDATA[YOLOX-based object detection plugin for GPS-synchronized videos with GeoPackage export]]></description>
        <about><![CDATA[QGIS YOLOX plugin uses YOLOX deep learning model to detect objects and facilities from GPS-synchronized videos and converts them to GeoPackage format for 2D surface mapping. Supports road facilities, buildings, vehicles, and general objects (COCO dataset).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.2</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kekero1004/qgis_yolox/]]></homepage>
        <file_name>qgis_yolox.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_M3axqqs.png</icon>
        <author_name><![CDATA[Jordan Moon P.E]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_yolox/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mck5791]]></uploaded_by>
        <create_date>2026-02-05T12:55:37.541424+00:00</create_date>
        <update_date>2026-02-05T12:55:39.474366+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kekero1004/qgis_yolox/issues]]></tracker>
        <repository><![CDATA[https://github.com/kekero1004/qgis_yolox/]]></repository>
        <tags><![CDATA[gps,video,geopackage,deep learning,ai,computer vision,object detection,yolox]]></tags>
        <downloads>253</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Road Pothole Detector" version="1.0.0" plugin_id="4689">
        <description><![CDATA[AI-based Road Pothole/Crack Detection &amp; Maintenance Route Optimization Plugin for road maintenance management]]></description>
        <about><![CDATA[This plugin provides AI-based automatic detection of road potholes and cracks from drone/vehicle imagery, deterioration prediction, risk assessment, and maintenance route optimization using TSP algorithm. Key features include:
- Automatic detection and mapping of road defects (potholes, cracks)
- Deterioration prediction and risk level assessment (A~E grades)
- Optimal maintenance route generation using TSP algorithm
- Work order PDF generation with location and material estimates
- Life Cycle Cost (LCC) analysis and change detection monitoring]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kekero1004/RoadPothHoleDetector]]></homepage>
        <file_name>RoadPotholeDetector.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_aOr26Nw.png</icon>
        <author_name><![CDATA[Jordan Moon]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RoadPotholeDetector/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[mck5791]]></uploaded_by>
        <create_date>2026-02-05T13:08:22.383448+00:00</create_date>
        <update_date>2026-02-05T13:08:24.343588+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kekero1004/RoadPothHoleDetector/]]></tracker>
        <repository><![CDATA[https://github.com/kekero1004/RoadPothHoleDetector]]></repository>
        <tags><![CDATA[road,drone,infrastructure,route,optimization,ai,detection,maintenance,crack,pothole]]></tags>
        <downloads>219</downloads>
        <average_vote>3.799240151969606</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Clip Raster Layout" version="1.1.0" plugin_id="4690">
        <description><![CDATA[Clip raster layers using polygon masks with optional topographic profile generation. Features batch clipping, interactive polygon drawing, section profiles with elevation charts, and automatic layer management.]]></description>
        <about><![CDATA[A comprehensive QGIS plugin for topographic analysis that provides:

- Batch Raster Clipping: Clip multiple raster layers (DEM, DTM, orthophotos) using a polygon mask
- Interactive Polygon Drawing: Draw clip polygons directly on the map canvas
- Topographic Sections: Create cross-section lines with automatic labeling (A-B, C-D, etc.)
- Elevation Profiles: Generate matplotlib elevation charts along section lines
- Auto-refresh Layer Lists: Layer lists update automatically when layers are added/removed
- Built-in Tutorial: Interactive help system with usage instructions

Compatible with QGIS 3.x (Qt5) and QGIS 4.x (Qt6).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enzococca/clip_raster_layout]]></homepage>
        <file_name>clip_raster_layout.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_3Wh0jD7.png</icon>
        <author_name><![CDATA[Enzo Cocca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/clip_raster_layout/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[enzo]]></uploaded_by>
        <create_date>2026-02-05T15:05:10.159512+00:00</create_date>
        <update_date>2026-02-05T15:05:12.107868+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enzococca/clip_raster_layout]]></tracker>
        <repository><![CDATA[https://github.com/enzococca/clip_raster_layout]]></repository>
        <tags><![CDATA[raster,profile,dem,topography,elevation,mask,clip,section,batch]]></tags>
        <downloads>1445</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Build_Short_Evac_Time" version="1.2" plugin_id="4691">
        <description><![CDATA[Build Shortest Evacuation Time is a QGIS plugin for building-level evacuation planning that computes shortest-time routes to shelters using OpenStreetMap data, with optional terrain-based walking speed adjustment from DEM.]]></description>
        <about><![CDATA[Build_Short_Evac_Time is a QGIS plugin designed to automatically identify buildings requiring evacuation within a tsunami-affected area and generate shortest evacuation routes to designated safe shelters using minimal user inputs.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gauravbkhairnar/Build_Short_Evac_Time_QGIS_Plugin]]></homepage>
        <file_name>build_short_evac_time.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_0cmu49f.png</icon>
        <author_name><![CDATA[Gaurav Khairnar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/build_short_evac_time/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[gauravk]]></uploaded_by>
        <create_date>2026-02-05T17:07:37.779854+00:00</create_date>
        <update_date>2026-02-18T09:57:02.434117+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gauravbkhairnar/Build_Short_Evac_Time_QGIS_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/gauravbkhairnar/Build_Short_Evac_Time_QGIS_Plugin]]></repository>
        <tags><![CDATA[preparedness,communities,tsunami inundation,safe shelters,risk reduction,evacuation]]></tags>
        <downloads>338</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick VRT Imagery Loader" version="0.6.3" plugin_id="4692">
        <description><![CDATA[Loads satellite images from Microsoft Planetary Computer STAC API quickly]]></description>
        <about><![CDATA[Plugin for searching and loading satellite imagery via the Microsoft Planetary Computer STAC API. It lists pre-configured compositions and loads images as VRT. Supports Sentinel-2 and Landsat collections with multiple band compositions (True Color, False Color NIR/SWIR, Agriculture, Geology, Urban, Bathymetric, and more). Compatible with QGIS 3.x (Qt5) and QGIS 4.x (Qt6).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/vagnertxr/sentinel_stac_loader]]></homepage>
        <file_name>sentinel_stac_loader.0.6.3.zip</file_name>
        <icon>/media/packages/2026/icon_iqaiQlJ.png</icon>
        <author_name><![CDATA[Vagner Teixeira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sentinel_stac_loader/version/0.6.3/download/</download_url>
        <uploaded_by><![CDATA[vagnertxr]]></uploaded_by>
        <create_date>2026-02-05T23:57:37.652980+00:00</create_date>
        <update_date>2026-03-27T11:25:51.011755+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vagnertxr/sentinel_stac_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/vagnertxr/sentinel_stac_loader]]></repository>
        <tags><![CDATA[python,raster,landsat,remote sensing,sentinel,satellite,imagery,vrt,stac,planetary computer]]></tags>
        <downloads>1556</downloads>
        <average_vote>4.9995833680526625</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArchDistribution" version="1.0.4" plugin_id="4693">
        <description><![CDATA[Automated archaeological distribution mapping workflow for QGIS]]></description>
        <about><![CDATA[QGIS plugin for archaeological distribution map production with buffering, numbering, zone filtering, and bilingual UI (Korean/English). Designed for reusable workflows across countries.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lzpxilfe/ArchDistribution]]></homepage>
        <file_name>ArchDistribution.1.0.4.zip</file_name>
        <icon>/media/packages/2026/icon_VWKU131.png</icon>
        <author_name><![CDATA[lzpxilfe(balguljang2)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ArchDistribution/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[lzpxilfe]]></uploaded_by>
        <create_date>2026-02-06T05:54:46.551480+00:00</create_date>
        <update_date>2026-03-15T10:05:35.030764+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lzpxilfe/ArchDistribution/issues]]></tracker>
        <repository><![CDATA[https://github.com/lzpxilfe/ArchDistribution]]></repository>
        <tags><![CDATA[shp,archaeology,survey,buffer,qgis,cartography,gpkg,distribution map,cultural heritage]]></tags>
        <downloads>566</downloads>
        <average_vote>4.99964288265124</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SITG" version="1.0.1" plugin_id="4695">
        <description><![CDATA[Plugin facilitant l&#x27;utilisation des services du Système d&#x27;Informations du Territoire du Canton de Genève (SITG) dans QGIS.]]></description>
        <about><![CDATA[This plugin preconfigures QGIS with various resources of the Système d&#x27;Information du Territoire à Genève (SITG): background maps, raster and vector geoservices, with or without e-demarches account. It is highly recommended to all users of the SITG (both for those working inside the administration and the general public).

---

Ce plugin permet de préconfigurer QGIS avec les resources du Système d&#x27;Information du Territoire à Genève (SITG): fonds de plan, geoservices rasters et vectoriels, avec ou sans authentification e-demarches. Son installation est recommandée aux utilisateurs réguliers du SITG dans QGIS, tant en interne de l&#x27;administration qu&#x27;en externe.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/republique-et-canton-de-geneve/sitg-qgis-plugin]]></homepage>
        <file_name>qsitg.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_8M81IbM.png</icon>
        <author_name><![CDATA[République et canton de Genève]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qsitg/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[cantongeneve]]></uploaded_by>
        <create_date>2026-02-06T09:11:20.622935+00:00</create_date>
        <update_date>2026-03-31T14:48:32.998803+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/republique-et-canton-de-geneve/sitg-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/republique-et-canton-de-geneve/sitg-qgis-plugin]]></repository>
        <tags><![CDATA[suisse,switzerland,geneve,sitg,genève]]></tags>
        <downloads>289</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Model Manager" version="1.0.0" plugin_id="4696">
        <description><![CDATA[A model management tool for registering, listing, executing, and managing favorites of QGIS Processing models (.model3).]]></description>
        <about><![CDATA[This plugin provides a centralized way to manage QGIS Processing models, including model registration, searching, execution, and favorite management.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/panyoricomeha/ModelManager]]></homepage>
        <file_name>ModelManager.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_W6AX9ib.png</icon>
        <author_name><![CDATA[Rikuto Arita]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ModelManager/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[panyoricomeha]]></uploaded_by>
        <create_date>2026-02-06T11:29:43.771610+00:00</create_date>
        <update_date>2026-02-06T11:29:45.736146+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/panyoricomeha/ModelManager/issues]]></tracker>
        <repository><![CDATA[https://github.com/panyoricomeha/ModelManager.git]]></repository>
        <tags><![CDATA[processing,workflow,model,manager,automation]]></tags>
        <downloads>263</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WFS Catasto Download Particelle BBox" version="1.5.2" plugin_id="4697">
        <description><![CDATA[Download particelle catastali dal WFS dell&#x27;Agenzia delle Entrate tramite BBox, selezione poligono, linea con buffer o layer di punti.]]></description>
        <about><![CDATA[WFS Catasto Download Particelle BBox - Plugin per QGIS che consente di scaricare le particelle catastali dal servizio WFS dell&#x27;Agenzia delle Entrate (INSPIRE).
Quattro modalita&#x27; di selezione dell&#x27;area di interesse:
1) Disegna BBox: clicca due punti sulla mappa per disegnare un rettangolo di download.
2) Seleziona Poligono: clicca su un poligono esistente per estrarne il bounding box.
3) Seleziona Linea: clicca su una linea e crea un buffer personalizzabile (0-100m) per scaricare le particelle che lo intersecano.
4) Seleziona Punti: clicca su un layer di punti (o direttamente in mappa) per scaricare le particelle che contengono i punti. Supporta selezione parziale e auto-riproiezione UTM per CRS geografici.
Opzione &quot;Espandi riferimento catastale&quot;: estrae dal campo NATIONALCADASTRALREFERENCE i campi sezione, foglio, allegato e sviluppo (formato CCCCZFFFFAS).
Supporta download multi-tile con progress bar, deduplicazione feature e filtro spaziale. Compatibile con QGIS 3 (Qt5) e QGIS 4 (Qt6).
---
EN: A QGIS plugin for downloading cadastral parcels from the Italian Revenue Agency (Agenzia delle Entrate) WFS INSPIRE service. Three selection modes: draw BBox, select polygon, select line with customizable buffer (0-100m). Optional expansion of NATIONALCADASTRALREFERENCE into section, sheet, attachment and development fields. Supports multi-tile download with progress bar, feature deduplication and spatial filtering.
DISCLAIMER: Please use this plugin responsibly. Massive or repeated downloads may overload the WFS service of the Italian Revenue Agency, causing disruptions for all users.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pigreco/wfs_catasto_download_particelle_bbox]]></homepage>
        <file_name>wfs_catasto_download_particelle_bbox.1.5.2.zip</file_name>
        <icon>/media/packages/2026/icon_QCyS0Nm.svg</icon>
        <author_name><![CDATA[Salvatore Fiandaca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wfs_catasto_download_particelle_bbox/version/1.5.2/download/</download_url>
        <uploaded_by><![CDATA[toto71]]></uploaded_by>
        <create_date>2026-02-07T17:38:14.696574+00:00</create_date>
        <update_date>2026-02-26T09:57:52.977243+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pigreco/wfs_catasto_download_particelle_bbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/pigreco/wfs_catasto_download_particelle_bbox]]></repository>
        <tags><![CDATA[wfs,inspire,catasto,cadastral,buffer,bbox,download,agenzia entrate,particelle]]></tags>
        <downloads>2185</downloads>
        <average_vote>4.809294795485929</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoAmapá" version="1.0.0" plugin_id="4698">
        <description><![CDATA[PT-BR: Ferramenta de consulta espacial por retângulo (extensão do mapa) para bases fundiárias e territoriais do Amapá, combinando camadas locais (GeoPackage) e serviços WFS.

EN: Spatial query tool by rectangle (map extent) for cadastral and territorial datasets of the State of Amapá (Brazil), combining local layers (GeoPackage) and WFS services.]]></description>
        <about><![CDATA[GeoAmapá é um plugin de consulta espacial que captura a extensão atual do mapa (retângulo envolvente) e retorna as feições que intersectam essa área, gerando camadas temporárias de resultado por base consultada. Integra dados locais (GeoPackage) e serviços WFS (CAR e INCRA) para apoiar análises rápidas no QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lopesluis/geoamapa]]></homepage>
        <file_name>geoamapa.1.0.0.zip</file_name>
        <icon>/media/packages/2026/logo_AVt4KWV.png</icon>
        <author_name><![CDATA[Luís Lopes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoamapa/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[luislopes84]]></uploaded_by>
        <create_date>2026-02-07T19:31:39.299288+00:00</create_date>
        <update_date>2026-02-07T19:31:41.128011+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lopesluis/geoamapa/issues]]></tracker>
        <repository><![CDATA[https://github.com/lopesluis/geoamapa]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>203</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KIGAM for Archaeology" version="0.1.2" plugin_id="4701">
        <description><![CDATA[Load KIGAM 1:50,000 ZIP maps, apply symbols/labels, and export analysis rasters with configurable behavior.]]></description>
        <about><![CDATA[This plugin loads KIGAM geological-map ZIP packages, applies sym/QML styles with CP949-safe matching, and supports GeoChem raster conversion/export workflows.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lzpxilfe/KIGAM-for-Archaeology]]></homepage>
        <file_name>KigamGeoDownloader.0.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_es4FGTg.png</icon>
        <author_name><![CDATA[lzpxilfe(balguljang2)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/KigamGeoDownloader/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[lzpxilfe]]></uploaded_by>
        <create_date>2026-02-09T08:55:33.339994+00:00</create_date>
        <update_date>2026-03-15T12:24:11.853553+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lzpxilfe/KIGAM-for-Archaeology/issues]]></tracker>
        <repository><![CDATA[https://github.com/lzpxilfe/KIGAM-for-Archaeology]]></repository>
        <tags><![CDATA[raster,geology,archaeology,qgis,kigam,geochem]]></tags>
        <downloads>310</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Terrascope" version="0.8.0" plugin_id="4703">
        <description><![CDATA[Search and visualize Terrascope STAC API data with time slider and time series plotting.]]></description>
        <about><![CDATA[Terrascope QGIS Plugin provides tools for searching, loading, and analyzing Earth observation data from the Terrascope STAC API.

Features:
- Search Terrascope STAC collections with spatial, temporal, and cloud cover filters
- Load Cloud Optimized GeoTIFFs (COGs) directly into QGIS via /vsicurl/
- Time slider for stepping through multi-temporal raster layers
- Interactive time series plotting by clicking map locations
- OAuth2 authentication with automatic token refresh
- Export time series data to CSV and save plots as images]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-terrascope-plugin]]></homepage>
        <file_name>terrascope.0.8.0.zip</file_name>
        <icon>/media/packages/2026/icon_Gnpl2LJ.png</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/terrascope/version/0.8.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2026-02-09T15:16:47.681897+00:00</create_date>
        <update_date>2026-02-27T13:07:06.350809+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-terrascope-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-terrascope-plugin]]></repository>
        <tags><![CDATA[raster,time series,remote sensing,sentinel,ndvi,stac,cog,terrascope]]></tags>
        <downloads>391</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Pobierz dane GUGiK" version="1.2.9" plugin_id="4710">
        <description><![CDATA[Wtyczka do pobierania obiektów z usługi zbiorczej WFS EGIB. Plugin for downloading features from the EGiB collective WFS service.]]></description>
        <about><![CDATA[Wtyczka służy do pobierania obiektów ze zbiorczych usług WFS udostępnianych przez Główny Urząd Geodezji i Kartografii. The plugin is used to download objects from aggregate WFS services provided by the Head Office of Geodesy and Cartography.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.gov.pl/web/gugik]]></homepage>
        <file_name>pobierz_dane_GUGiK.1.2.9.zip</file_name>
        <icon>/media/packages/2026/icon1000_bilPtea.png</icon>
        <author_name><![CDATA[Łukasz Świątek - Główny Urząd Geodezji i Kartografii]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pobierz_dane_GUGiK/version/1.2.9/download/</download_url>
        <uploaded_by><![CDATA[rzezimioszek]]></uploaded_by>
        <create_date>2026-02-10T08:38:15.927358+00:00</create_date>
        <update_date>2026-04-01T11:18:05.200308+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GlownyUrzadGeodezjiIKartografii/pobierz_dane_GUGiK/issues]]></tracker>
        <repository><![CDATA[https://github.com/GlownyUrzadGeodezjiIKartografii/pobierz_dane_GUGiK]]></repository>
        <tags><![CDATA[python,wfs,download,uldk,gugik,kataster,pobieracz,pobieranie,egib,powiat]]></tags>
        <downloads>4915</downloads>
        <average_vote>4.582951420714941</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Terrain Surface Area" version="1.0.0" plugin_id="4711">
        <description><![CDATA[Computes planar and terrain surface area of polygons using a DEM (Calcula a área plana e a área real do terreno usando um MDE).]]></description>
        <about><![CDATA[Processing tool to compute terrain surface area with global CRS handling (Ferramenta do Processing para calcular área de superfície com SRC global).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lopesluis/terrain_surface_area]]></homepage>
        <file_name>terrain_surface_area.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_7lK66Fk.png</icon>
        <author_name><![CDATA[Luís Lopes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/terrain_surface_area/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[luislopes84]]></uploaded_by>
        <create_date>2026-02-10T16:50:14.151338+00:00</create_date>
        <update_date>2026-02-10T16:50:16.250009+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lopesluis/terrain_surface_area/issues]]></tracker>
        <repository><![CDATA[https://github.com/lopesluis/terrain_surface_area]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>617</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ClickAttributeEditor" version="1.0.0" plugin_id="4712">
        <description><![CDATA[Left-click a feature and type a value for a chosen field (SHIFT + right-click to change the target field).]]></description>
        <about><![CDATA[ClickAttributeEditor lets you click a feature and enter a value for any selected field via a popup dialog. SHIFT + right-click changes the target field. The tool automatically deactivates when switching to another map tool. Ideal for rapid digitizing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SauvaSuave/ClickAttributeEditor]]></homepage>
        <file_name>ClickAttributeEditor.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_tUBYupE.png</icon>
        <author_name><![CDATA[Ruellas, T. H. R.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ClickAttributeEditor/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[sauvasuave]]></uploaded_by>
        <create_date>2026-02-10T19:15:42.045552+00:00</create_date>
        <update_date>2026-02-10T19:15:44.130458+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SauvaSuave/ClickAttributeEditor/issues]]></tracker>
        <repository><![CDATA[https://github.com/SauvaSuave/ClickAttributeEditor]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>271</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Slope Stability Analysis" version="1.3" plugin_id="4713">
        <description><![CDATA[A geotechnical engineering tool for 2D slope stability analysis within QGIS. It implements Bishop&#x27;s Simplified Method to calculate the Factor of Safety (FS) for circular slip surfaces. Features include 1. Automated grid search for critical slip surfaces. 2. Support for multi-layer geology (Polygon layers with cohesion, phi, unit_weight). 3. Pore pressure calculation via custom Water Table layers (LineString). 4. Pseudo-static seismic analysis (Kh). 5. Test data(geo model layer: testdata_geomodel.geojson, water level layer:testdata_water_level_event.geojson) included.6. Shapely and NumPy libraries (Included in standard QGIS installations).Designed for civil engineers and geologists to perform rapid safety assessments directly on GIS geometry.]]></description>
        <about><![CDATA[This program was developed with the assistance of Gemini and is a QGIS plugin. It features dual-mode analysis: a complete loop including &quot;General&quot; and &quot;Event&quot; modes. Users can select the geological model layer and groundwater level layer, and execute the program after inputting seismic coefficients. It will list all possible failure surfaces and their respective safety factors (FS).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.facebook.com/GeoHarvester?locale=zh_TW]]></homepage>
        <file_name>SlopeStabilityPlugin.1.3.zip</file_name>
        <icon>/media/packages/2026/icon_ktxF2Wn.png</icon>
        <author_name><![CDATA[聚禾工程顧問有限公司]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SlopeStabilityPlugin/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[yoshihuang]]></uploaded_by>
        <create_date>2026-02-11T02:04:01.843197+00:00</create_date>
        <update_date>2026-02-12T13:05:07.356990+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yoshihuang/QGIS-Slope-Stability-Analysis]]></tracker>
        <repository><![CDATA[https://github.com/yoshihuang/QGIS-Slope-Stability-Analysis]]></repository>
        <tags><![CDATA[analysis,geology,slope,engineering,stability]]></tags>
        <downloads>743</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Feature Array Map Tool" version="1.0.3" plugin_id="4715">
        <description><![CDATA[Map tool to copy a feature in an array along a reference line]]></description>
        <about><![CDATA[Python backport of a QGIS 4 map tool, to be used in QGIS 3.40 to 3.44. The map tool copy features in an array along a reference line.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/Oslandia/qgis/map_tool_feature_array/]]></homepage>
        <file_name>map_tool_feature_array.1.0.3.zip</file_name>
        <icon>/media/packages/2026/mActionFeatureArrayPoint_u2uXEgz.svg</icon>
        <author_name><![CDATA[Jacky VOLPES]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/map_tool_feature_array/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2026-02-11T07:43:42.426197+00:00</create_date>
        <update_date>2026-02-11T08:18:17.396491+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/map_tool_feature_array/-/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/map_tool_feature_array/]]></repository>
        <tags><![CDATA[copy,array,map tool]]></tags>
        <downloads>228</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AMČR Viewer" version="1.3.2" plugin_id="4716">
        <description><![CDATA[Viewing and downloading the AMČR data.]]></description>
        <about><![CDATA[This plugin is intended for downloading the data (Fieldwork events, Sites and their Components) from the Digiarchive of the Archaeological Map of the Czech Republic (https://digiarchiv.aiscr.cz/). As of now, only publicly accessible data can be downloaded.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://amcr-help.aiscr.cz/digiarchiv/qgis-viewer.html]]></homepage>
        <file_name>amcr_viewer.1.3.2.zip</file_name>
        <icon>/media/packages/2026/download_vxbzj0j.png</icon>
        <author_name><![CDATA[David Spáčil]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/amcr_viewer/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[davidspacil]]></uploaded_by>
        <create_date>2026-02-11T14:01:55.929581+00:00</create_date>
        <update_date>2026-03-19T08:46:14.887706+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ARUP-CAS/aiscr-qgis-amcr-viewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/ARUP-CAS/aiscr-qgis-amcr-viewer]]></repository>
        <tags><![CDATA[python,archaeology,pian,amčr,ais cr,amcr]]></tags>
        <downloads>598</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kumoy" version="v2.0.1" plugin_id="4717">
        <description><![CDATA[Turn your QGIS into cloud-native]]></description>
        <about><![CDATA[Kumoy lets you seamlessly push your QGIS projects to the web, safely manage data, and enable efficient teamwork.]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.kumoy.io/]]></homepage>
        <file_name>kumoy_qgis_plugin.v2.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_eIlkAWH.png</icon>
        <author_name><![CDATA[MIERUNE Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kumoy_qgis_plugin/version/v2.0.1/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2026-02-12T09:59:00.049538+00:00</create_date>
        <update_date>2026-04-14T07:00:33.070256+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MIERUNE/kumoy-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MIERUNE/kumoy-qgis-plugin]]></repository>
        <tags><![CDATA[web,mobile,synchronization,webmap,data,webmaps,backup]]></tags>
        <downloads>1525</downloads>
        <average_vote>4.777600829598904</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Qgis iNaturalist API" version="1.1.0" plugin_id="4718">
        <description><![CDATA[Load and visualize biodiversity observations from iNaturalist]]></description>
        <about><![CDATA[Load biodiversity observations from iNaturalist directly into QGIS. Filter by species, location, date range, username, or current map extent. Visualize nature observations with metadata including photos, observer info, and Wikipedia links. Perfect for ecological analysis, citizen science projects, and biodiversity mapping.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.3.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/javikalsan/qgis-inaturalist-api]]></homepage>
        <file_name>qgis_inaturalist_api.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_9PyPeeo.png</icon>
        <author_name><![CDATA[Javier Calzado Sánchez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_inaturalist_api/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[javikalsan]]></uploaded_by>
        <create_date>2026-02-12T13:57:13.416229+00:00</create_date>
        <update_date>2026-03-06T16:00:52.575821+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/javikalsan/qgis-inaturalist-api/issues]]></tracker>
        <repository><![CDATA[https://github.com/javikalsan/qgis-inaturalist-api]]></repository>
        <tags><![CDATA[api,inaturalist]]></tags>
        <downloads>422</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geology tools" version="2.0.3" plugin_id="4719">
        <description><![CDATA[Geology Tools offers a collection of plugins that simplify workflows in geology, hydrogeology, and seismic microzonation]]></description>
        <about><![CDATA[The following is a summary of the main modules and their functionalities:

GEOLOGY MAPPING
1. The Geology from points and lines
Tool automates the creation of geological maps.
- Workflow: The user draws geological contact lines to form closed polygons and places points with geological attributes (formation codes, lithology, etc.) inside them.
- Automation: The algorithm cleans duplicate geometries, creates polygons from the line network, and transfers the attributes from the points to the resulting polygons.
- Output: Produces topologically clean geological polygons and contact lines ready for GIS analysis.

HYDROLOGY
2. The Hydrological Analysis Stream Network (HASN)
Module utilizes an integrated approach, leveraging GRASS GIS and SAGA GIS algorithms for robust watershed analysis.
- Terrain Correction: It uses the Wang &amp; Liu algorithm to fill sinks in Digital Terrain Models (DTM), ensuring a hydrologically correct surface.
- Flow &amp; Indices: It calculates drainage directions and flow accumulation to derive the Topographic Wetness Index (TWI), which identifies areas prone to saturation and runoff
- Stream Delineation: The tool generates a vector stream network from the DTM, offering both a raw version for analysis and a &quot;smooth&quot; version for better cartographic visualization.

SEISMIC MICROZONATION
This section includes tools for evaluating ground stability and seismic risk:
3. Lateral Spreading Analysis (LSA):
Identifies horizontal soil movement risks during earthquakes by crossing the Liquefaction Index (IL)with terrain slope percentages. It classifies areas into Respect Zones (RZ), Susceptibility Zones (SZ), or Low Susceptibility Zones (Z0).
4. Seismic Microzonazion Morphological Analysis (SMMA):
Identifies areas with slopes &gt; 15° within seismic zones. This is critical because steep morphological gradients can amplify seismic waves and increase the risk of seismic-caused landslides.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pinogcosentino/Geology-tools]]></homepage>
        <file_name>Geology_tools.2.0.3.zip</file_name>
        <icon>/media/packages/2026/icon_1WbpSUh.png</icon>
        <author_name><![CDATA[Giuseppe Cosentino (Pino), Francesco Pennica]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Geology_tools/version/2.0.3/download/</download_url>
        <uploaded_by><![CDATA[ls04ms]]></uploaded_by>
        <create_date>2026-02-12T18:13:35.348259+00:00</create_date>
        <update_date>2026-04-07T12:45:15.925653+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pinogcosentino/Geology-tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/pinogcosentino/Geology-tools]]></repository>
        <tags><![CDATA[python,geology,hydrology,geoprocessing,seismic microzonation]]></tags>
        <downloads>2472</downloads>
        <average_vote>4.999750012499375</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tessera" version="0.6.1" plugin_id="4720">
        <description><![CDATA[Stable version for public release]]></description>
        <about><![CDATA[Tessera provides 9 cartographic algorithms for QGIS: Tile Fill (5 tile shapes: square, hexagon, circle, triangle, diamond), Percentage Split, Stripe Hatching, Snap to Grid, Sketchy Borders, Scale by Value, Replace with Shape, Arrange Features (with quality presets), and Grid Arrangement. Create thematic maps where geographic shapes communicate data through tile grids, proportional fills, cartogram transforms, hand-drawn styling, force-directed layouts, and grid arrangements. No external dependencies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rafdouglas/tessera]]></homepage>
        <file_name>tessera.0.6.1.zip</file_name>
        <icon>/media/packages/2026/icon_C90rWY1.png</icon>
        <author_name><![CDATA[RafDouglas C. Tommasi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tessera/version/0.6.1/download/</download_url>
        <uploaded_by><![CDATA[rafdouglas]]></uploaded_by>
        <create_date>2026-02-12T22:38:59.936495+00:00</create_date>
        <update_date>2026-04-14T09:23:59.980824+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rafdouglas/tessera/issues]]></tracker>
        <repository><![CDATA[https://github.com/rafdouglas/tessera]]></repository>
        <tags><![CDATA[cartography,cartogram,thematic,tile-fill,waffle,tessellate,ideogram,hatching,dorling]]></tags>
        <downloads>294</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Stripe Hatching" version="0.6.1" plugin_id="4721">
        <description><![CDATA[Stable version for public release]]></description>
        <about><![CDATA[Fill each polygon with parallel rectangular stripes at configurable angle and spacing. Topology-aware for seamless multi-polygon fills.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rafdouglas/tessera]]></homepage>
        <file_name>stripe_hatching.0.6.1.zip</file_name>
        <icon>/media/packages/2026/icon_8YGyixz.png</icon>
        <author_name><![CDATA[RafDouglas C. Tommasi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/stripe_hatching/version/0.6.1/download/</download_url>
        <uploaded_by><![CDATA[rafdouglas]]></uploaded_by>
        <create_date>2026-02-12T22:39:16.020080+00:00</create_date>
        <update_date>2026-04-14T09:24:49.710275+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rafdouglas/tessera/issues]]></tracker>
        <repository><![CDATA[https://github.com/rafdouglas/tessera]]></repository>
        <tags><![CDATA[cartography,ideogram,hatching,stripe]]></tags>
        <downloads>189</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Percentage Split" version="0.6.1" plugin_id="4722">
        <description><![CDATA[Stable version for public release]]></description>
        <about><![CDATA[Split each polygon into two sub-polygons whose area ratio corresponds to a numeric attribute value. Supports horizontal, vertical, diagonal, and radial orientations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rafdouglas/tessera]]></homepage>
        <file_name>percentage_split.0.6.1.zip</file_name>
        <icon>/media/packages/2026/icon_su3gH7T.png</icon>
        <author_name><![CDATA[RafDouglas C. Tommasi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/percentage_split/version/0.6.1/download/</download_url>
        <uploaded_by><![CDATA[rafdouglas]]></uploaded_by>
        <create_date>2026-02-12T22:40:20.066649+00:00</create_date>
        <update_date>2026-04-14T09:24:26.776337+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rafdouglas/tessera/issues]]></tracker>
        <repository><![CDATA[https://github.com/rafdouglas/tessera]]></repository>
        <tags><![CDATA[split,cartography,ideogram,percentage]]></tags>
        <downloads>243</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ISeD" version="1.2" plugin_id="4723">
        <description><![CDATA[Description:
Neuradna ISeD orodja za QGIS. 
Priprava grafike (izdelava sloja, kopiranje parcel/stavb, obrezovanje, buffer, združevanje), nastavitev simbologije ter izvoz v SHP+ZIP. Namenjeno uporabnikom aplikacije ISeD. 

Unofficial ISeD tools for QGIS.
Preparation of graphics (creating layers, copying parcels/buildings, clipping, buffering, merging), setting up symbology, and exporting to SHP+ZIP. Intended for users of the ISeD app (Information System of Cultural Heritage Management in the Republic of Slovenia).]]></description>
        <about><![CDATA[Vtičnik ISeD ponuja hitrejša orodja za delo s podatki GURS in ISeD (priprava grafike, simbolika, izvoz). Ni uradno orodje ISeD.
The ISeD plugin provides faster tools for working with GURS and ISeD data (graphics preparation, symbology, export). It is not an official ISeD tool.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gzorz/ISeD/]]></homepage>
        <file_name>ISeD.1.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Grega Žorž]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ISeD/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[gregazorz]]></uploaded_by>
        <create_date>2026-02-12T22:53:53.132611+00:00</create_date>
        <update_date>2026-02-12T23:18:31.387862+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gzorz/ISeD/issues]]></tracker>
        <repository><![CDATA[https://github.com/gzorz/ISeD/]]></repository>
        <tags><![CDATA[ised]]></tags>
        <downloads>123</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QFAT02 TIN Loader" version="2.1.0" plugin_id="4725">
        <description><![CDATA[Import 12d (.12da) and SMS/XMS (.tin) terrain surfaces as QGIS mesh layers and convert to 2DM.]]></description>
        <about><![CDATA[QFAT02 TIN Loader imports 12d (.12da) and SMS/XMS (.tin) terrain surfaces into QGIS as mesh layers for fast review and QA. It can then convert the surface to 2DM for downstream editing or model inputs (including TUFLOW, which can read 2DM directly).

This tool is part of QFAT (QGIS Flood Analysis Toolkit) - a set of focused QGIS utilities designed to support flood modelling workflows (e.g., TUFLOW, HEC-RAS), hydraulic QA, and rapid engineering checks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FGE-2025/QFAT02-TIN-Loader]]></homepage>
        <file_name>QFAT02_TIN_Loader.2.1.0.zip</file_name>
        <icon>/media/packages/2026/qfat_logo.png</icon>
        <author_name><![CDATA[FG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QFAT02_TIN_Loader/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[fge2025]]></uploaded_by>
        <create_date>2026-02-13T06:26:09.318072+00:00</create_date>
        <update_date>2026-02-13T06:26:11.226225+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FGE-2025/QFAT02-TIN-Loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/FGE-2025/QFAT02-TIN-Loader]]></repository>
        <tags><![CDATA[flood,tuflow,sms,mesh,tin,2dm,12da,xms,12d]]></tags>
        <downloads>180</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Flutwelle" version="0.9.6" plugin_id="4728">
        <description><![CDATA[Schätzt eine Flutwelle gemäss CTGREF]]></description>
        <about><![CDATA[Vereinfachtes Verfahren zur Berechnung einer Flutwelle mit primär eindimensionaler Ausbreitung. Dieses Programm dient der Abschätzung der Flutwelle.  Die Überprüfung der Resultate ist durch den Benutzer vorzunehmen. Der Benutzer trägt die Verantwortung für etwaige Konsequenzen. Neben der Aktivierung des Plug-ins müssen die GeoTIF-Files der zu untersuchenden Region in ein Verzeichnis heruntergeladen werden. Zu finden sind die Files bei swissALTI3D  oder swissSURFACE3D sie sind jedoch vorzugsweise in separate Verzeichnisse zu speichern.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/RetepRelleum/flutwelle]]></homepage>
        <file_name>Flutwelle.0.9.6.zip</file_name>
        <icon>/media/packages/2026/icon_ZacEjdo.png</icon>
        <author_name><![CDATA[retep relleum]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Flutwelle/version/0.9.6/download/</download_url>
        <uploaded_by><![CDATA[mugnaio]]></uploaded_by>
        <create_date>2026-02-14T07:10:43.561597+00:00</create_date>
        <update_date>2026-04-04T13:19:19.127795+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/RetepRelleum/flutwelle]]></tracker>
        <repository><![CDATA[https://github.com/RetepRelleum/flutwelle]]></repository>
        <tags><![CDATA[river,bfe,see,ctgref,talsperre,staumauer,fluss,energielinienhöhe,damm,beffa,bresche,energiewirtschaft]]></tags>
        <downloads>813</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CLC2Manning" version="0.1.3" plugin_id="4729">
        <description><![CDATA[Calcula la rugosidad de Manning de CORINE 2018 y la recorta por un área de interés para flujos de trabajo de modelado hidráulico.]]></description>
        <about><![CDATA[CLC2Manning es un complemento de QGIS que asigna valores de rugosidad de Manning a los polígonos de CORINE Land Cover 2018. Permite cargar datos de CORINE desde un GeoPackage, seleccionar un Área de Interés haciendo clic en cualquier polígono del mapa, recortar CORINE a esa AOI, asignar valores de Manning según la clasificación CODE_18, calcular áreas de polígonos y, opcionalmente, heredar la simbología original de CORINE. Está diseñado para aplicaciones hidráulicas e hidrológicas, como estudios de inundaciones HEC-RAS. Por el momento sólo disponible para España Peninsular.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pedroiba94/CLC2Manning]]></homepage>
        <file_name>CLC2Manning.0.1.3.zip</file_name>
        <icon>/media/packages/2026/icon_ffWU2lW.png</icon>
        <author_name><![CDATA[Pedro Ivar y Hugo Alejandro Bohorquez Aliaga Villafuerte]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CLC2Manning/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[pedrito94]]></uploaded_by>
        <create_date>2026-02-14T09:34:50.549077+00:00</create_date>
        <update_date>2026-03-19T17:37:16.789544+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pedroiba94/CLC2Manning/issues]]></tracker>
        <repository><![CDATA[https://github.com/pedroiba94/CLC2Manning]]></repository>
        <tags><![CDATA[hydraulic,hydrology,flood,spain,clip,hec-ras,landcover,manning,roughness,corine]]></tags>
        <downloads>378</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kozu XML Integrator" version="0.2.4" plugin_id="4730">
        <description><![CDATA[Cross-references cadastral XML (Kozu) with forest planning maps for on-site boundary survey support.]]></description>
        <about><![CDATA[A QGIS plugin that cross-references Japanese Legal Affairs Bureau cadastral map XML (Kozu) with forest planning maps and parcel information, applies minor positional adjustments, and provides support for survey investigations. It does not perform automatic boundary determination; it is intended for area determination for on-site boundary verification. / 公図XML整合ツール — 法務局地図XML（公図）を森林計画図の地番情報と照合し、位置の微調整を行い照合する調査のサポートを提供します。境界の自動確定は行わず、現地立会いのための区域確定を目的とします。 / Support: https://paypal.me/rawslnc]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raw-slnc/kozu_xml_integrator]]></homepage>
        <file_name>kozu_xml_integrator.0.2.4.zip</file_name>
        <icon>/media/packages/2026/icon_6p987KU.png</icon>
        <author_name><![CDATA[Hideharu Masai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kozu_xml_integrator/version/0.2.4/download/</download_url>
        <uploaded_by><![CDATA[rawslnc]]></uploaded_by>
        <create_date>2026-02-14T19:20:05.957481+00:00</create_date>
        <update_date>2026-04-13T22:37:53.658674+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raw-slnc/kozu_xml_integrator/issues]]></tracker>
        <repository><![CDATA[https://github.com/raw-slnc/kozu_xml_integrator]]></repository>
        <tags><![CDATA[vector,cadastral,boundary,xml,forest,japan,moj,kozu,land registry]]></tags>
        <downloads>544</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SatIrriga QGIS" version="3.0.0" plugin_id="4731">
        <description><![CDATA[QGIS client for the SatIrriga platform (ANA/INPE). Browse, download, edit, and submit satellite-based irrigation maps.]]></description>
        <about><![CDATA[SatIrriga QGIS is the official desktop client for the SatIrriga platform, a satellite-based irrigation monitoring system developed jointly by ANA (Brazil&#x27;s National Water and Sanitation Agency) and INPE (Brazil&#x27;s National Institute for Space Research). The plugin enables a complete field-validation workflow without leaving the QGIS environment: authenticate securely via Single Sign-On (OIDC/PKCE through Keycloak); browse the zonal catalog and download geospatial results as editable GeoPackage files via FlatGeobuf; refine geometries using the full suite of QGIS sketching and editing tools; and submit revisions back to the Feature Server with asynchronous processing and conflict resolution. Designed for analysts and technicians who review remote-sensing-derived irrigation maps, the plugin streamlines the review-and-correction cycle that is central to the SatIrriga quality-assurance process.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/agriculturaana/satirriga-qgis]]></homepage>
        <file_name>satirriga_qgis.3.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_UZTkdzh.png</icon>
        <author_name><![CDATA[Tharles de Sousa Andrade | ANA | INPE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/satirriga_qgis/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[tharlestsa]]></uploaded_by>
        <create_date>2026-02-15T01:51:04.611679+00:00</create_date>
        <update_date>2026-04-16T12:50:35.305436+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/agriculturaana/satirriga-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/agriculturaana/satirriga-qgis]]></repository>
        <tags><![CDATA[python,remote-sensing,mapping,geopackage,irrigation]]></tags>
        <downloads>261</downloads>
        <average_vote>0.9990009990009991</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geochemistry Plotting Tools" version="0.0.3" plugin_id="4732">
        <description><![CDATA[Create spider diagrams, discrimination diagrams, and custom XY plots for geochemical data]]></description>
        <about><![CDATA[A simple geochemistry plotting tool for QGIS that creates:
- Chondrite or Primitive Mantle normalized spider diagrams (REE + trace elements)
- Tectonic discrimination diagrams (Pearce, Meschede, Wilson, Cox et al.)
- Custom XY plots with user-defined element/oxide ratios

Developed for UWA EART3343 Lab exercises.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.24.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/swaxi/geochem-plots]]></homepage>
        <file_name>geochem_plots.0.0.3.zip</file_name>
        <icon>/media/packages/2026/icon_JNVEHlq.svg</icon>
        <author_name><![CDATA[Mark Jessell]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geochem_plots/version/0.0.3/download/</download_url>
        <uploaded_by><![CDATA[markjessell]]></uploaded_by>
        <create_date>2026-02-15T09:52:31.411370+00:00</create_date>
        <update_date>2026-04-03T01:01:39.902015+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/swaxi/geochem-plots/issues]]></tracker>
        <repository><![CDATA[https://github.com/swaxi/geochem-plots]]></repository>
        <tags><![CDATA[geology,plotting,geochemistry,discrimination,petrology,ree,spider diagram]]></tags>
        <downloads>681</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Add Coordinates" version="1.0.0" plugin_id="4733">
        <description><![CDATA[Add projected or geographic coordinates to the map using unique IDs. Supports EPSG:32376 (Projected) and EPSG:4326 (Geographic). Preview points and export to CSV or Shapefile.]]></description>
        <about><![CDATA[Adds points to the map using either projected or geographic coordinates, ensures unique IDs, allows preview in memory, and export to CSV or Shapefile. The plugin handles memory cleanly and simplifies coordinate input.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Wongie1505/add_coordinates]]></homepage>
        <file_name>add_coordinates.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_EwTRQvm.png</icon>
        <author_name><![CDATA[Wongani Msukwa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/add_coordinates/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[waku05]]></uploaded_by>
        <create_date>2026-02-15T12:14:55.356237+00:00</create_date>
        <update_date>2026-02-15T12:14:57.223497+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Wongie1505/add_coordinates/]]></tracker>
        <repository><![CDATA[https://github.com/Wongie1505/add_coordinates]]></repository>
        <tags><![CDATA[vector,python,shapefile,export,csv,add coordinates]]></tags>
        <downloads>2987</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SAR VIEW" version="1.0" plugin_id="4737">
        <description><![CDATA[A specialized tool for Synthetic Aperture Radar (SAR) visualization. It automatically converts raw intensity/amplitude data to Decibels (dB) via logarithmic scaling and enhances contrast using statistical outlier removal (cumulative cut).]]></description>
        <about><![CDATA[Enhance raw SAR imagery with one click. Features include customizable Logarithmic Transformation (dB) and Histogram Stretching based on Standard Deviation to remove speckle noise and outliers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/le-sawe/SARView]]></homepage>
        <file_name>sarviewplugin.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_BJWluxE.png</icon>
        <author_name><![CDATA[Mohamad El Moussawi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sarviewplugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[lesawe]]></uploaded_by>
        <create_date>2026-02-16T09:08:27.882069+00:00</create_date>
        <update_date>2026-02-20T19:56:41.482599+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/le-sawe/SARView/issues]]></tracker>
        <repository><![CDATA[https://github.com/le-sawe/SARView]]></repository>
        <tags><![CDATA[raster,remote sensing,sar,sentinel-1,visualization,radar,enhancement]]></tags>
        <downloads>396</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Label on a Cable - KelTech IoE" version="1.3.0" plugin_id="4739">
        <description><![CDATA[LOC QGIS plugin for automated generation, synchronisation, and management of infrastructure labels.]]></description>
        <about><![CDATA[Authenticate to LOC, select a Location, and automatically generate infrastructure labels directly from your QGIS designs — eliminating manual label creation. The plugin enables bidirectional data flow between QGIS and LOC. Pull high-accuracy field data captured by engineers using mobile devices or GNSS receivers to update asset positions in your GIS project. Push bulk attribute updates (such as cable lengths or metadata) from QGIS back into LOC to keep your digital records aligned with real-world installations. Designed to significantly accelerate labelling workflows while improving spatial accuracy and data consistency across design and field operations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.loc.store]]></homepage>
        <file_name>label_on_a_cable.1.3.0.zip</file_name>
        <icon>/media/packages/2026/loc_logo_d9WKGE8.png</icon>
        <author_name><![CDATA[Brandon Kellett, KelTech IoE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/label_on_a_cable/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[brandonk393]]></uploaded_by>
        <create_date>2026-02-16T13:06:40.564581+00:00</create_date>
        <update_date>2026-04-02T12:30:11.497615+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Label-on-a-Cable/LOC-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Label-on-a-Cable/LOC-QGIS-Plugin]]></repository>
        <tags><![CDATA[labeling,gis,infrastructure,qgis,fiber,automation,ftth,telecoms,loc,asset-management]]></tags>
        <downloads>474</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Open NSPD Maps" version="2.2" plugin_id="4741">
        <description><![CDATA[Охват окна на сайте NSPD]]></description>
        <about><![CDATA[Этот плагин открывает текущий охват карты на сайте NSPD простым нажатием кнопки. Связь в telegram: https://t.me/russofed]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Russofed/open_in_nspd_map]]></homepage>
        <file_name>open_NSPD_map.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_ORi0wBq.png</icon>
        <author_name><![CDATA[Alexandr Fedorov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/open_NSPD_map/version/2.2/download/</download_url>
        <uploaded_by><![CDATA[russofed]]></uploaded_by>
        <create_date>2026-02-16T18:11:31.222793+00:00</create_date>
        <update_date>2026-03-23T14:55:12.521926+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Russofed/open_in_nspd_map]]></tracker>
        <repository><![CDATA[https://github.com/Russofed/open_in_nspd_map]]></repository>
        <tags><![CDATA[search,нспд,nspd]]></tags>
        <downloads>693</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SIOSE2Manning" version="0.1.3" plugin_id="4744">
        <description><![CDATA[Calcula la rugosidad de Manning a partir de SIOSE AR (T_COMBINADA - ID_COBERTURA_MAX) y la recorta por un Área de Interés georeferenciada para flujos de trabajo de modelado hidráulico.]]></description>
        <about><![CDATA[SIOSE2Manning es un complemento de QGIS que asigna valores de rugosidad de Manning a los polígonos de SIOSE AR utilizando la cobertura dominante (ID_COBERTURA_MAX) de la capa T_COMBINADA. Permite cargar datos de SIOSE AR desde un GeoPackage, seleccionar un Area de Interes directamente en el mapa, recortar la cartografía a dicha AOI, calcular areas de poligonos y generar una capa lista para su uso en modelacion hidraulica e hidrologica (por ejemplo HEC-RAS). Este desarrollo se ha beneficiado de aportes técnicos y discusiones compartidas por Antonio López y la comunidad SIG en LinkedIn, que ayudaron a orientar el enfoque metodológico, aunque el diseño e implementación del complemento han sido desarrollados de forma independiente por los autores.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pedroiba94/SIOSE2Manning]]></homepage>
        <file_name>SIOSE2Manning.0.1.3.zip</file_name>
        <icon>/media/packages/2026/icon_yD6IeBp.png</icon>
        <author_name><![CDATA[Pedro Ivar y Hugo Alejandro Bohorquez Aliaga Villafuerte]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SIOSE2Manning/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[pedrito94]]></uploaded_by>
        <create_date>2026-02-17T12:31:06.659854+00:00</create_date>
        <update_date>2026-03-19T17:18:36.891661+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pedroiba94/SIOSE2Manning/issues]]></tracker>
        <repository><![CDATA[https://github.com/pedroiba94/SIOSE2Manning]]></repository>
        <tags><![CDATA[hydraulic,hydrology,flood,spain,clip,hec-ras,landcover,manning,roughness,siose]]></tags>
        <downloads>469</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PG2GPKG" version="1.1.2" plugin_id="4745">
        <description><![CDATA[Export PostgreSQL/PostGIS databases to GeoPackage files with multiple export modes and QGIS project rewriting.]]></description>
        <about><![CDATA[PG2GPKG exports entire PostgreSQL/PostGIS databases (or selected tables) to GeoPackage files.
Three export modes are available:
• One GeoPackage per schema
• Everything in a single GeoPackage
• One GeoPackage per table

Features:
• Tree-based schema/table selection with geometry info
• Automatic QGIS project export with datasource path rewriting
• Handles fid type conflicts, compressed project formats, and SSL mode normalization
• Filters system tables automatically
• Full Italian and English interface]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fgianoli/db2gpkg]]></homepage>
        <file_name>pg2gpkg.1.1.2.zip</file_name>
        <icon>/media/packages/2026/pg2gpkg_NZnrkFK.png</icon>
        <author_name><![CDATA[Federico Gianoli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pg2gpkg/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[fritz4]]></uploaded_by>
        <create_date>2026-02-17T12:47:57.140731+00:00</create_date>
        <update_date>2026-03-09T11:22:41.688529+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fgianoli/db2gpkg/issues]]></tracker>
        <repository><![CDATA[https://github.com/fgianoli/db2gpkg]]></repository>
        <tags><![CDATA[postgis,database,export,postgresql,backup,geopackage,migration]]></tags>
        <downloads>536</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Regio API Plugin" version="1.0.6" plugin_id="4746">
        <description><![CDATA[Estonian, Latvian and Lithuanian geocode, reverse geocode, routing and WMS basemap via Regio API (api.regio.ee). Includes a free trial (300 requests).]]></description>
        <about><![CDATA[Provides address search with autocomplete, reverse geocode map-click tool, routing, and Regio Baltic WMS basemap. Works out of the box with a built-in free trial key (300 requests). Contact geospatial@regio.ee for a full API key.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/regio-geospatial/regio-api-plugin]]></homepage>
        <file_name>regio_api_plugin.1.0.6.zip</file_name>
        <icon>/media/packages/2026/icon_UNrKoEm.png</icon>
        <author_name><![CDATA[Regio OÜ]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/regio_api_plugin/version/1.0.6/download/</download_url>
        <uploaded_by><![CDATA[regio]]></uploaded_by>
        <create_date>2026-02-17T14:16:41.584046+00:00</create_date>
        <update_date>2026-03-11T10:00:37.343651+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/regio-geospatial/regio-api-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/regio-geospatial/regio-api-plugin]]></repository>
        <tags><![CDATA[routing,geocode,basemap,api,estonia,regio,baltic,latvia,lithuania,revgeocode]]></tags>
        <downloads>307</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="mes_elus" version="3.0.2" plugin_id="4747">
        <description><![CDATA[Plugin pour télécharger et géoréférencer les données du RNE.]]></description>
        <about><![CDATA[Plugin to automate the download and processing of data from the French National Directory of Elected Officials (Référentiel National des Élus)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BGAT-DDT21/plugin_QGIS/wiki]]></homepage>
        <file_name>mes_elus.3.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_8E9e21P.png</icon>
        <author_name><![CDATA[Xavier FAYOUX]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mes_elus/version/3.0.2/download/</download_url>
        <uploaded_by><![CDATA[bgat21]]></uploaded_by>
        <create_date>2026-02-17T15:14:16.702561+00:00</create_date>
        <update_date>2026-03-17T07:39:38.835923+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BGAT-DDT21/plugin_QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/BGAT-DDT21/plugin_QGIS/tree/main/mes_elus]]></repository>
        <tags><![CDATA[rne,élus]]></tags>
        <downloads>302</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sort and Group Layers" version="1.0.4" plugin_id="4753">
        <description><![CDATA[Sort and group layers by file path, name, date, geometry, feature count, or file size]]></description>
        <about><![CDATA[A QGIS plugin that adds &quot;Sort Layers&quot; and &quot;Group Layers&quot; submenus under the Layer menu. Sort layers by full file path, alphabetical name, file modification date, geometry type, feature count, or file size. When layers are already grouped, sorting operates within each group and also reorders the groups. Group layers automatically by geometry type or source folder path. Save and restore the original layer order. Created by Australis Asset Advisory Group.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AAAG-AU/QGIS]]></homepage>
        <file_name>sort_and_group_layers.1.0.4.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Australis Asset Advisory Group]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sort_and_group_layers/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[aaag]]></uploaded_by>
        <create_date>2026-02-18T07:46:59.172948+00:00</create_date>
        <update_date>2026-03-19T07:22:04.407618+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AAAG-AU/QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/AAAG-AU/QGIS]]></repository>
        <tags><![CDATA[features,geometry,order,layers,grouping,sorting]]></tags>
        <downloads>695</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geomaticape Tools" version="1.2" plugin_id="4755">
        <description><![CDATA[GeomaticaPE is a QGIS plugin designed to automate the preprocessing of satellite imagery, specifically the scale factor correction for Landsat (4, 5, 7, 8 and 9) and Sentinel-2 data. The tool simplifies the conversion of digital numbers (DN) into surface reflectance and radiometric values using official scale factors, allowing users to generate corrected and ready-to-analyze imagery in a fast and reliable workflow.

The plugin also enables the creation of composite images and the automatic calculation of Land Surface Temperature (LST) from Landsat thermal bands, delivering results in degrees Celsius. This facilitates environmental monitoring, land cover analysis, and geospatial studies by providing consistent, standardized outputs directly within QGIS.

GeomaticaPE is designed for GIS professionals, researchers, and students who require efficient and automated satellite image preprocessing for remote sensing and spatial analysis.]]></description>
        <about><![CDATA[GeomaticaPE PRO is an advanced QGIS plugin developed by Geomática Ambiental to automate satellite image preprocessing and geospatial analysis workflows.

The plugin focuses on Landsat (4, 5, 7, 8 and 9) and Sentinel-2 data, providing automated scale factor correction, composite image generation, and Land Surface Temperature (LST) calculation in degrees Celsius.

GeomaticaPE PRO is designed to simplify remote sensing processes for GIS professionals, researchers, government institutions, and academic users, enabling efficient, accurate, and reproducible results directly within QGIS.

Developed and maintained by:
Geomática Ambiental
🌐 www.geomatica.pe]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ninogeomatica/Geomaticape]]></homepage>
        <file_name>Geomaticape.1.2.zip</file_name>
        <icon>/media/packages/2026/ChatGPT_Image_18_feb_2026_14_40_40.png</icon>
        <author_name><![CDATA[Geomática Ambiental]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Geomaticape/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[geomaticape2030]]></uploaded_by>
        <create_date>2026-02-18T19:33:35.568488+00:00</create_date>
        <update_date>2026-02-19T16:18:50.401624+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://www.geomatica.pe/]]></tracker>
        <repository><![CDATA[https://github.com/ninogeomatica/Geomaticape]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>373</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multiplicate layer by attribute" version="0.1.1" plugin_id="4756">
        <description><![CDATA[Multiplicate layer by attribute]]></description>
        <about><![CDATA[Create multiple layers from all unique values from a selected field or expression. Sponsored by Parcs i Jardins de Barcelona, Institut Municipal of Barcelona City Council.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.38.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/psigcat/multiplicate_layer_by_attribute]]></homepage>
        <file_name>multiplicate_layer_by_attribute.0.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_2TCG4Er.png</icon>
        <author_name><![CDATA[PSIG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/multiplicate_layer_by_attribute/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[geraldo]]></uploaded_by>
        <create_date>2026-02-19T09:28:28.635707+00:00</create_date>
        <update_date>2026-02-19T09:28:30.627002+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/psigcat/multiplicate_layer_by_attribute/issues]]></tracker>
        <repository><![CDATA[https://github.com/psigcat/multiplicate_layer_by_attribute]]></repository>
        <tags><![CDATA[python,layer]]></tags>
        <downloads>97</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Embed Legend" version="6.9.2" plugin_id="4757">
        <description><![CDATA[Interactive Floating Legend &amp; Advanced KMZ/MIF Thematic Export Tool for RF Engineers and GIS Analysts.]]></description>
        <about><![CDATA[Embed Legend is the ultimate productivity booster for QGIS users, particularly in the Telecommunications and GIS sectors. It creates a live, draggable floating legend panel that stays on your map canvas. Key features include:
* Interactive visibility toggle (click to hide/show layers with a strikethrough effect).
* Multi-layer stacking with clear separators.
* Real-time feature counts and percentage (%) statistics.
* Professional KMZ (Google Earth) export with auto-embedded legend images on the screen.
* Smart Labeling: Automatically detects SiteID columns for Sectoral/Polygon layers, keeping Drive Test (Points) and Grid geometries clean without text clutter.
* Direct MapInfo MIF export with hardcoded thematics.
Export thousands of complex RF data points (Drive Test, Covmo/MR/MDT, Gcell) cleanly and efficiently in less than a minute.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/junethtea/embed-legend-pro]]></homepage>
        <file_name>embed_legend.6.9.2.zip</file_name>
        <icon>/media/packages/2026/icon_7hXHDg6.png</icon>
        <author_name><![CDATA[Jujun Junaedi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/embed_legend/version/6.9.2/download/</download_url>
        <uploaded_by><![CDATA[juneth]]></uploaded_by>
        <create_date>2026-02-19T21:02:13.841716+00:00</create_date>
        <update_date>2026-03-15T12:44:19.182147+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/junethtea/embed-legend-pro/issues]]></tracker>
        <repository><![CDATA[https://github.com/junethtea/embed-legend-pro]]></repository>
        <tags><![CDATA[legend,kmz,export,kml,google earth,thematic,mapinfo,mif,rf,drive test,telecommunications]]></tags>
        <downloads>933</downloads>
        <average_vote>4.874390701162355</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Shinrinbo Code Converter" version="0.1.5" plugin_id="4758">
        <description><![CDATA[Converts code values in Shizuoka Prefecture&#x27;s forest register to human-readable text based on the code table, joins with forest planning maps, and outputs as a QGIS layer.]]></description>
        <about><![CDATA[Automatically converts code values (CD columns) in Shizuoka Prefecture&#x27;s forest register (xlsx), published as open data, into human-readable text based on the forest register code table (docx). Joins with forest planning maps (Shapefile) using the KEY1 field and outputs as a GIS layer with attribute information. / 静岡県がオープンデータとして公開している森林簿（xlsx）のコード値（CD列）を、森林簿コード表（docx）に基づき自動的に人間が読めるテキストに変換します。森林計画図（Shapefile）とKEY1フィールドで結合し、属性情報付きのGISレイヤとして出力します。 / Support: https://paypal.me/rawslnc]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raw-slnc/shinrinbo_code_converter]]></homepage>
        <file_name>shinrinbo_code_converter.0.1.5.zip</file_name>
        <icon>/media/packages/2026/icon_FSu8n2B.png</icon>
        <author_name><![CDATA[Hideharu Masai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shinrinbo_code_converter/version/0.1.5/download/</download_url>
        <uploaded_by><![CDATA[rawslnc]]></uploaded_by>
        <create_date>2026-02-20T15:00:59.031470+00:00</create_date>
        <update_date>2026-04-12T11:05:35.309331+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raw-slnc/shinrinbo_code_converter/issues]]></tracker>
        <repository><![CDATA[https://github.com/raw-slnc/shinrinbo_code_converter]]></repository>
        <tags><![CDATA[vector,python,converter,forest,japan,code,shizuoka,shinrinbo]]></tags>
        <downloads>189</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RAÄ loader" version="1.0.1" plugin_id="4759">
        <description><![CDATA[Download data from RAÄs Öppna data-portal]]></description>
        <about><![CDATA[Download geopackage files from https://www.raa.se/hitta-information/oppna-data/oppna-data-portal/ (not INSPIRE packages) and load them into current project with RAÄ symbology applied]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mercerraa.github.io/]]></homepage>
        <file_name>raa_loader.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_N4lrKUv.png</icon>
        <author_name><![CDATA[Andrew Mercer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raa_loader/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[mercerraa]]></uploaded_by>
        <create_date>2026-02-20T16:01:28.224545+00:00</create_date>
        <update_date>2026-04-07T10:26:45.375359+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mercerraa/RAALoader/issues]]></tracker>
        <repository><![CDATA[https://github.com/mercerraa/RAALoader]]></repository>
        <tags><![CDATA[web,import,layers]]></tags>
        <downloads>140</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Canvas2Extent" version="0.5" plugin_id="4760">
        <description><![CDATA[Automatic Canvas to layout extent]]></description>
        <about><![CDATA[This plugins has been made to transfer map Canvas extent automatically to every layout extent chosen from existing layouts and to every eventually repeated map_item in layout pages.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/demarcog/canvas2extent]]></homepage>
        <file_name>canvas2extent.0.5.zip</file_name>
        <icon>/media/packages/2026/icon_aOIALmd.png</icon>
        <author_name><![CDATA[Giuseppe De Marco]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/canvas2extent/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[demarcog]]></uploaded_by>
        <create_date>2026-02-20T16:01:53.888769+00:00</create_date>
        <update_date>2026-02-27T11:03:00.681182+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/demarcog/canvas2extent/issues]]></tracker>
        <repository><![CDATA[https://github.com/demarcog/canvas2extent]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>216</downloads>
        <average_vote>2.997002997002997</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoAccuRate" version="1.3.1" plugin_id="4761">
        <description><![CDATA[Accuracy assessment done right — Olofsson, Pontius, and publication-ready reports in one click.]]></description>
        <about><![CDATA[GeoAccuRate provides statistically rigorous accuracy assessment for land cover
and remote sensing classification validation in QGIS. It implements the area-weighted
estimation method of Olofsson et al. (2014), Pontius quantity and allocation
disagreement metrics, Wilson confidence intervals, and automated stratified random
sampling with sample size optimization. Generates publication-ready PDF reports with
confusion matrices (counts and row-normalized), per-class metrics, interpretation
notes, ISO 19157 quality element mapping, and auto-generated methods text with
citations. Designed for researchers, students, and agencies requiring reproducible
and defensible accuracy assessment without leaving QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Osman-Geomatics93/GeoAccuRate]]></homepage>
        <file_name>geoaccurate.1.3.1.zip</file_name>
        <icon>/media/packages/2026/icon_DvJ0qgB.png</icon>
        <author_name><![CDATA[Osman Ibrahim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoaccurate/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[osman93]]></uploaded_by>
        <create_date>2026-02-21T01:02:53.970465+00:00</create_date>
        <update_date>2026-02-21T14:39:30.300546+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Osman-Geomatics93/GeoAccuRate/issues]]></tracker>
        <repository><![CDATA[https://github.com/Osman-Geomatics93/GeoAccuRate]]></repository>
        <tags><![CDATA[land cover,confusion matrix,accuracy assessment,classification,remote sensing,validation,olofsson,iso 19157,quality,pontius]]></tags>
        <downloads>220</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Brutvögel_Papierrevier_LR" version="1.1" plugin_id="4762">
        <description><![CDATA[Automated territory mapping using spatial and temporal criteria (Südbeck standard).]]></description>
        <about><![CDATA[Dieses Plugin automatisiert die Methode der Revierkartierung für avifaunistische Erfassungen. Es umfasst räumliches Clustering, ein Zeitkriterium (Phänologie) sowie eine hierarchische Erkennung des Brutstatus.
Die Südbeck-Klassifikation ist derzeit noch experimentell.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lienusrob/brutvoegel_papierrevier_lr]]></homepage>
        <file_name>brutvoegel_papierrevier_lr.1.1.zip</file_name>
        <icon>/media/packages/2026/Gemini_Generated_Image_c28aygc28aygc28a.png</icon>
        <author_name><![CDATA[Lienus Rob]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/brutvoegel_papierrevier_lr/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[lienusrob]]></uploaded_by>
        <create_date>2026-02-21T07:52:51.443970+00:00</create_date>
        <update_date>2026-03-24T16:42:44.792515+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lienusrob/brutvoegel_papierrevier_lr/issues]]></tracker>
        <repository><![CDATA[https://github.com/lienusrob/brutvoegel_papierrevier_lr]]></repository>
        <tags><![CDATA[clustering,mapping,territory,biology,birds,ornithology]]></tags>
        <downloads>203</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geopacker" version="1.4" plugin_id="4763">
        <description><![CDATA[Bundles an entire QGIS project (.qgz) into an easily shareable, single compressed file. Consolidates vectors, rasters, layout images, and .qml styles, then fixes layer paths.]]></description>
        <about><![CDATA[A tool to package layers for sharing by eliminating broken paths.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rick2x/geopacker]]></homepage>
        <file_name>geopacker.1.4.zip</file_name>
        <icon>/media/packages/2026/icon_9BfiFA9.png</icon>
        <author_name><![CDATA[Frederick Cuario]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geopacker/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[rrcuario]]></uploaded_by>
        <create_date>2026-02-21T08:09:01.512061+00:00</create_date>
        <update_date>2026-04-02T00:41:38.650449+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rick2x/geopacker/issues]]></tracker>
        <repository><![CDATA[https://github.com/rick2x/geopacker]]></repository>
        <tags><![CDATA[export,zip,geopackage,package,share]]></tags>
        <downloads>3384</downloads>
        <average_vote>4.826830253264361</average_vote>
        <rating_votes>52</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="xml_ua" version="0.9.5" plugin_id="4764">
        <description><![CDATA[Processing Ukrainian cadastral XML files (Geodesy).]]></description>
        <about><![CDATA[A comprehensive tool for Ukrainian land surveyors.
---
Key features:
* Creation and processing of cadastral XML files.
* Syntax and topology validation.
* Generation of land management documentation.
---
Full documentation is available at the homepage link.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.15</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://krechkivsky.github.io/xml_ua_docs/]]></homepage>
        <file_name>xml_ua.0.9.5.zip</file_name>
        <icon>/media/packages/2026/icon_1Io61a6.svg</icon>
        <author_name><![CDATA[krechkivsky.dev@gmail.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xml_ua/version/0.9.5/download/</download_url>
        <uploaded_by><![CDATA[krechkivsky]]></uploaded_by>
        <create_date>2026-02-21T08:43:31.784734+00:00</create_date>
        <update_date>2026-03-14T22:07:21.629496+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/krechkivsky/xml_ua/issues]]></tracker>
        <repository><![CDATA[https://github.com/krechkivsky/xml_ua]]></repository>
        <tags><![CDATA[cadastre,xml,land,ukraine]]></tags>
        <downloads>433</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Export Couches Vecteur / Vector Layer Export" version="1.3.1" plugin_id="4765">
        <description><![CDATA[FR: Export des couches vecteur avec choix du format, du CRS et du répertoire
EN: Export vector layers with format, CRS and output directory selection]]></description>
        <about><![CDATA[FR: Plugin permettant d&#x27;exporter les multiples couches vecteur du projet QGIS
en GeoJSON, Shapefile, GeoPackage, CSV, Excel (XLSX), KML, GML,
FlatGeobuf, MapInfo TAB, SQLite ou DXF (un fichier par couche),
avec reprojection optionnelle, barre de progression et interface
bilingue français / anglais.
EN: Plugin to export QGIS project multi vector layers to GeoJSON, Shapefile,
GeoPackage, CSV, Excel (XLSX), KML, GML, FlatGeobuf, MapInfo TAB,
SQLite or DXF (one file per layer), with optional reprojection,
progress bar and bilingual FR / EN interface.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Cartoyoyo/Export_multilayers]]></homepage>
        <file_name>Export_multilayers.1.3.1.zip</file_name>
        <icon>/media/packages/2026/icon_ti9NIcB.png</icon>
        <author_name><![CDATA[Yoan Laloux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Export_multilayers/version/1.3.1/download/</download_url>
        <uploaded_by><![CDATA[yooan]]></uploaded_by>
        <create_date>2026-02-21T10:39:07.216966+00:00</create_date>
        <update_date>2026-03-21T21:34:43.236848+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Cartoyoyo/Export_multilayers/issues]]></tracker>
        <repository><![CDATA[https://github.com/Cartoyoyo/Export_multilayers]]></repository>
        <tags><![CDATA[vector,shapefile,dxf,conversion,layers,geojson,multi,reprojection,batch,erport,repertory]]></tags>
        <downloads>636</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Poli Quadrante" version="0.2" plugin_id="4766">
        <description><![CDATA[Divide automaticamente poligonos em quatro quadrantes (NE, NW, SW, SE) usando o centro geometrico.]]></description>
        <about><![CDATA[Plugin que divide automaticamente os poligonos em quatro quadrantes com base no centro geometrico.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Osvaldo18121212/poliquadrante]]></homepage>
        <file_name>poli_quadrante.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_lnGFJub.png</icon>
        <author_name><![CDATA[Osvaldo Manasses Mulango]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/poli_quadrante/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[osvaldo121212]]></uploaded_by>
        <create_date>2026-02-21T19:59:18.786574+00:00</create_date>
        <update_date>2026-03-15T15:23:50.710438+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Osvaldo18121212/poliquadrante/issues]]></tracker>
        <repository><![CDATA[https://github.com/Osvaldo18121212/poliquadrante]]></repository>
        <tags><![CDATA[vector,analysis,centroid]]></tags>
        <downloads>171</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VectorToMap (Atlas &amp; Layout)" version="3.3.0" plugin_id="4767">
        <description><![CDATA[VectorToMap: Advanced Cartographic Automation for QGIS. &gt; The Pro version is now 100% free! Elevate your mapping workflow with high-performance multi-page layout generation. Features advanced Atlas grouping, Data-Defined Overrides (DDO), SVG/PNG exports, dynamic scale management, and exclusive layout templates. Built for GIS professionals who need speed, precision, and production-ready technical maps.]]></description>
        <about><![CDATA[[English]
VectorToMap automates the creation of multi-page layouts and map books in QGIS, saving hours of manual work. Easily export hundreds of individual or attribute-grouped maps with dynamic scaling, smart layer isolation, and real-time previews. Version 3.0: All Pro features are now 100% free! Enjoy unlimited exports, SVG/PNG formats, professional templates, and Data-Defined Overrides (DDO).

[Português]
O VectorToMap automatiza a criação de layouts de múltiplas páginas e cadernos de mapas no QGIS, economizando horas de trabalho manual. Exporte facilmente centenas de mapas individuais ou agrupados por atributos com escala dinâmica, isolamento inteligente de camadas e pré-visualização em tempo real. Versão 3.0: Todos os recursos Pro agora são 100% gratuitos! Aproveite exportações ilimitadas, formatos SVG/PNG, templates profissionais e Data-Defined Overrides (DDO).

[中文]
VectorToMap 在 QGIS 中自动创建多页布局和地图册，为您节省数小时的手动工作时间。凭借动态比例尺、智能图层隔离和实时预览功能，您可以轻松导出数百张单独的或按属性分组的地图。版本 3.0：所有专业版功能现已完全免费！享受无限制导出、SVG/PNG 格式、专业模板和数据定义覆盖 (DDO)。

[Italiano]
VectorToMap automatizza la creazione di layout multipagina e atlanti cartografici in QGIS, risparmiando ore di lavoro manuale. Esporta facilmente centinaia di mappe singole o raggruppate per attributi con ridimensionamento dinamico, isolamento intelligente dei layer e anteprime in tempo reale. Versione 3.0: Tutte le funzionalità Pro sono ora gratuite al 100%! Goditi esportazioni illimitate, formati SVG/PNG, modelli professionali e Data-Defined Overrides (DDO).

[Deutsch]
VectorToMap automatisiert die Erstellung von mehrseitigen Layouts und Kartensammlungen in QGIS und spart Stunden an manueller Arbeit. Exportieren Sie mühelos Hunderte von individuellen oder nach Attributen gruppierten Karten mit dynamischer Skalierung, intelligenter Layer-Isolierung und Echtzeit-Vorschau. Version 3.0: Alle Pro-Funktionen sind jetzt 100 % kostenlos! Profitieren Sie von unbegrenzten Exporten, SVG/PNG-Formaten, professionellen Vorlagen und Data-Defined Overrides (DDO).

[Español]
VectorToMap automatiza la creación de diseños de múltiples páginas y libros de mapas en QGIS, ahorrando horas de trabajo manual. Exporte fácilmente cientos de mapas individuales o agrupados por atributos con escala dinámica, aislamiento inteligente de capas y vistas previas en tiempo real. Versión 3.0: ¡Todas las funciones Pro ahora son 100% gratuitas! Disfrute de exportaciones ilimitadas, formatos SVG/PNG, plantillas profesionales y Data-Defined Overrides (DDO).

[Русский]
VectorToMap автоматизирует создание многостраничных макетов и атласов в QGIS, экономя часы ручной работы. Легко экспортируйте сотни отдельных или сгруппированных по атрибутам карт с динамическим масштабированием, умной изоляцией слоев и предварительным просмотром в реальном времени. Версия 3.0: Все Pro-функции теперь на 100% бесплатны! Наслаждайтесь неограниченным экспортом, форматами SVG/PNG, профессиональными шаблонами и Data-Defined Overrides (DDO).

[Français]
VectorToMap automatise la création de mises en page multipages et d&#x27;atlas dans QGIS, économisant des heures de travail manuel. Exportez facilement des centaines de cartes individuelles ou regroupées par attributs avec une échelle dynamique, une isolation intelligente des couches et des aperçus en temps réel. Version 3.0 : Toutes les fonctionnalités Pro sont désormais 100 % gratuites ! Profitez d&#x27;exportations illimitées, des formats SVG/PNG, de modèles professionnels et des Data-Defined Overrides (DDO).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/matheusdurso/VectorToMap]]></homepage>
        <file_name>vector_to_map.3.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_9eB0KJI.png</icon>
        <author_name><![CDATA[Matheus Durso Neves Caetano]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vector_to_map/version/3.3.0/download/</download_url>
        <uploaded_by><![CDATA[mathdurso]]></uploaded_by>
        <create_date>2026-02-21T20:05:47.211935+00:00</create_date>
        <update_date>2026-04-13T23:29:29.880515+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/matheusdurso/VectorToMap/issues]]></tracker>
        <repository><![CDATA[https://github.com/matheusdurso/VectorToMap]]></repository>
        <tags><![CDATA[vector,atlas,scale,layout,automation,engineering,i18n,progressbar,uxtools,adaptive]]></tags>
        <downloads>2951</downloads>
        <average_vote>4.7497031435535275</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SMART-MOVE Mobility Analytics" version="1.0.0" plugin_id="4768">
        <description><![CDATA[SMART-MOVE (Spatial Monitoring &amp; Analysis of Real-Time Traffic Movement) is a QGIS plugin designed to transform traffic visualization outputs into spatial mobility intelligence indicators.
It supports advanced spatiotemporal traffic pattern analysis, congestion dynamics interpretation, and mobility signal monitoring for urban and regional planning applications.

It includes two main tools:
1. Traffic Analyzer for generating traffic class summaries from visual traffic data.
2. Traffic Summary Visualizer for producing multi-scale spatiotemporal analytics, charts, and animated mobility patterns.]]></description>
        <about><![CDATA[SMART-MOVE provides an integrated framework for interpreting traffic visualization layers into analytical indicators for mobility assessment, congestion pattern detection, and transport dynamics modeling.
The plugin supports visual-proxy mobility analytics for planning research, urban digital twin development, and spatial decision support systems.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/SMART-MOVE]]></homepage>
        <file_name>smart_move_mobility_analytics.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_GdRrKZr.png</icon>
        <author_name><![CDATA[Firman Afrianto, Maya Safira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/smart_move_mobility_analytics/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2026-02-22T06:24:08.837829+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/SMART-MOVE/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/SMART-MOVE]]></repository>
        <tags><![CDATA[urban planning,digital twin,spatiotemporal analysis,congestion analysis,urban mobility,smart city,transport planning,traffic analytics]]></tags>
        <downloads>305</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Site Sector" version="1.2.0" plugin_id="4769">
        <description><![CDATA[Generate dynamic sectoral site wedges and PCI audits.]]></description>
        <about><![CDATA[Site Sector is an advanced productivity tool designed for RF/NPO Engineers in the Telecommunications sector. It automates the generation of cellular site polygons (wedges) and features a built-in audit engine for network optimization. Key features include:
* Dynamic Band Styling: Automatically detects and styles unique frequencies/bands using smart Regex parsing.
* Auto-Decrement Radius: Intelligently reduces sector radius for overlapping multi-band layers to ensure full visibility.
* PCI Modulo Audit: Instantly visualize LTE interference by generating thematic site sector based on PCI Modulo 3 (RS), Mod 6 (PSS).
* Multi-Format Export: Seamlessly export generated sectors data to ESRI Shapefile (.shp), MapInfo (.tab), or professional Google Earth (.kml) formats with auto-embedded floating legends.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/junethtea/site-sector]]></homepage>
        <file_name>site_sector.1.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_6wsLtoA.png</icon>
        <author_name><![CDATA[Jujun Junaedi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/site_sector/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[juneth]]></uploaded_by>
        <create_date>2026-02-22T18:25:26.726172+00:00</create_date>
        <update_date>2026-02-22T18:25:28.566997+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/junethtea/site-sector/issues]]></tracker>
        <repository><![CDATA[https://github.com/junethtea/site-sector]]></repository>
        <tags><![CDATA[kml,google earth,cell,thematic,interference,pci,rf,telecommunications,mcom,site sector,npo,rno,gcell]]></tags>
        <downloads>485</downloads>
        <average_vote>4.599080183963207</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Multiply Toggle" version="0.2" plugin_id="4770">
        <description><![CDATA[Switches the blending mode for all or selected layers and groups to &quot;Multiply&quot;.]]></description>
        <about><![CDATA[(24.02.2026) Adds a toolbar button to toggle the multiply blend mode for all layers or only selected layers/groups. Compatible with QGIS 3.x (Qt5) and QGIS 4.x (Qt6).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoobserver.de/qgis-plugin-layermultiplytoggle/]]></homepage>
        <file_name>LayerMultiplyToggle.0.2.zip</file_name>
        <icon>/media/packages/2026/multiply_layers_icon_active_xFgdekd.png</icon>
        <author_name><![CDATA[Mike Elstermann (#geoObserver)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LayerMultiplyToggle/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[geoobserver]]></uploaded_by>
        <create_date>2026-02-23T07:53:40.898587+00:00</create_date>
        <update_date>2026-02-24T06:50:55.145038+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoObserver/LayerMultiplyToggle/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geoObserver/LayerMultiplyToggle/]]></repository>
        <tags><![CDATA[layer,rendering,blend mode,multiply]]></tags>
        <downloads>589</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EasyGeocoder" version="0.2.0" plugin_id="4771">
        <description><![CDATA[Professional batch geocoding of CSV address data for QGIS using OpenStreetMap Nominatim.]]></description>
        <about><![CDATA[EasyGeocoder is a QGIS plugin for reliable batch geocoding of CSV address data with OpenStreetMap Nominatim.
It supports configurable column mapping (address, city, postal code, country), structured lookup with automatic fallback, and clear status reporting for each record.
Output is an EPSG:4326 point layer that preserves all source CSV columns and adds standardized geocoding fields for analysis and QA.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gjkson16-cyber/easy_geocoder]]></homepage>
        <file_name>easy_geocoder.0.2.0.zip</file_name>
        <icon>/media/packages/2026/EG.png</icon>
        <author_name><![CDATA[Jakub Grodzicki]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easy_geocoder/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[gjkson16]]></uploaded_by>
        <create_date>2026-02-23T09:41:13.523556+00:00</create_date>
        <update_date>2026-02-23T09:41:15.376727+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gjkson16-cyber/easy_geocoder/issues]]></tracker>
        <repository><![CDATA[https://github.com/gjkson16-cyber/easy_geocoder]]></repository>
        <tags><![CDATA[geocoding,openstreetmap,osm,address,nominatim,csv,qgis,batch]]></tags>
        <downloads>928</downloads>
        <average_vote>4.845781093762018</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LatLong Digitizer" version="1.1" plugin_id="4772">
        <description><![CDATA[Digitizes a polygon by manually entering latitude/longitude points.]]></description>
        <about><![CDATA[This plugin is designed to digitize polygon features in QGIS through precise manual coordinate entry. It enables users to build geometries by entering specific latitude and longitude values one by one, ensuring high accuracy for data management tasks that require exact spatial positioning.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rajeshraina/LatLon-Poly-Digitizer]]></homepage>
        <file_name>LatLongDigitizer.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_xdAewMk.png</icon>
        <author_name><![CDATA[Rajesh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LatLongDigitizer/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[rajeshmanasa]]></uploaded_by>
        <create_date>2026-02-23T12:29:53.954480+00:00</create_date>
        <update_date>2026-02-26T06:27:14.008599+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rajeshraina/LatLon-Poly-Digitizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/rajeshraina/LatLon-Poly-Digitizer]]></repository>
        <tags><![CDATA[polygon,digitizing,coordinates,long,lat,auto polygon]]></tags>
        <downloads>1180</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AutoAtlas Pro" version="1.2.0" plugin_id="4773">
        <description><![CDATA[Automated cartographic report generator. Create professional atlas reports with thematic maps in one click.]]></description>
        <about><![CDATA[AutoAtlas Pro automates the generation of professional cartographic reports with thematic maps. Perfect for census data, demographic analysis, municipal reports, and academic research. Features a Dark Corporate UI theme, resilient batch generation with Circuit Breaker pattern, and Graceful Degradation for offline basemaps. Supports PDF and PNG export with customizable templates.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geoidegeoidal/autoatlas-pro]]></homepage>
        <file_name>autoatlas_pro.1.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_Nk9AThx.svg</icon>
        <author_name><![CDATA[Jorge Ulloa Roa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/autoatlas_pro/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[julloar]]></uploaded_by>
        <create_date>2026-02-23T18:33:47.427337+00:00</create_date>
        <update_date>2026-02-23T18:33:49.360083+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoidegeoidal/autoatlas-pro/issues]]></tracker>
        <repository><![CDATA[https://github.com/geoidegeoidal/autoatlas-pro]]></repository>
        <tags><![CDATA[atlas,report,pdf,batch,maps,cartography,thematic,census]]></tags>
        <downloads>657</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RORB catg/stm Editor" version="1.0.2" plugin_id="4775">
        <description><![CDATA[Table-format viewer and editor for RORB .catg and .stm files — batch-edit print flags in catchment files and create or edit storm files interactively.]]></description>
        <about><![CDATA[RORB catg/stm Editor displays RORB text files in interactive, colour-coded tables instead of raw text, so you can work with them without risking the underlying file structure.
&lt;br&gt;&lt;br&gt;
&lt;b&gt;CATG Editor&lt;/b&gt; — Open a .catg file and view nodes, reaches, storages, and inflow/outflow sections in a structured table. The main purpose is batch print-flag editing: set node print flags (0 / 70 / 71 / 72) and reach print flags (0 / 1) across many rows at once, instead of clicking each node one-by-one in the RORB Graphical Editor. Filter and search by node name or index. All other data is read-only and preserved exactly on save.
&lt;br&gt;&lt;br&gt;
&lt;b&gt;STM Editor&lt;/b&gt; — Open an existing .stm file or create a new non-uniform storm file from scratch. The New STM wizard scaffolds a complete file (event header, storm parameters, burst time ranges, pluviograph data, sub-area rainfalls, pluviograph references, and hydrograph stations). Every section is shown as an editable table where you can add or delete bursts, pluviographs, and hydrograph stations — storm parameter counts sync automatically. Delimiter format (tab or comma) and -99 terminators are managed by the editor.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/irenejaya/RORB-catg-stm-editor]]></homepage>
        <file_name>RORB_catg_stm_editor.1.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_ffvkmnW.svg</icon>
        <author_name><![CDATA[Irene Jaya]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RORB_catg_stm_editor/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[irenejaya]]></uploaded_by>
        <create_date>2026-02-23T22:28:18.676836+00:00</create_date>
        <update_date>2026-03-01T07:14:26.465446+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/irenejaya/RORB-catg-stm-editor/issues]]></tracker>
        <repository><![CDATA[https://github.com/irenejaya/RORB-catg-stm-editor]]></repository>
        <tags><![CDATA[python,hydrology,table,editor,flood,catchment,rorb,rainfall-runoff,storm,non-uniform,catg,stm]]></tags>
        <downloads>224</downloads>
        <average_vote>3.99800099950025</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GPKG Editor" version="0.3.0" plugin_id="4776">
        <description><![CDATA[View and edit GeoPackage (GPKG) layer attributes with plan management and GPKG/CSV export.]]></description>
        <about><![CDATA[Manage multiple named plans against a single GPKG — switch and compare them instantly without duplicating files. All plans and attribute edits are stored in one companion file ({name}_data.sqlite), leaving the original GPKG untouched. Each plan holds a feature set with column configuration; edits are merged only at export time (GPKG/CSV). Also features expression-based status rows and a lock mode that freezes the canvas for spatial comparison. Support: https://paypal.me/rawslnc]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raw-slnc/gpkg_editor]]></homepage>
        <file_name>gpkg_editor.0.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_Y6ynIXH.png</icon>
        <author_name><![CDATA[Hideharu Masai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gpkg_editor/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[rawslnc]]></uploaded_by>
        <create_date>2026-02-24T14:56:13.365087+00:00</create_date>
        <update_date>2026-04-14T07:55:21.397348+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raw-slnc/gpkg_editor/issues]]></tracker>
        <repository><![CDATA[https://github.com/raw-slnc/gpkg_editor]]></repository>
        <tags><![CDATA[vector,attribute,table,editor,geopackage,gpkg,plan]]></tags>
        <downloads>808</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="タイル境界道路接続" version="0.5.4.7" plugin_id="4778">
        <description><![CDATA[タイル境界で分断された道路の接続を自動修復。Fix tile-cut road connectivity by snapping endpoints near tile boundaries.]]></description>
        <about><![CDATA[タイル境界で分断された道路を自動でつなぎ直す。\nFixes roads split at tile boundaries by snapping endpoints and inserting vertices when needed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GISPHN/qgis-tile-road-connector]]></homepage>
        <file_name>TileRoadConnector.0.5.4.7.zip</file_name>
        <icon>/media/packages/2026/icon_trTJHTU.png</icon>
        <author_name><![CDATA[GISPHN (Ryo Horiike)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TileRoadConnector/version/0.5.4.7/download/</download_url>
        <uploaded_by><![CDATA[gisphn]]></uploaded_by>
        <create_date>2026-02-25T04:22:17.710656+00:00</create_date>
        <update_date>2026-03-24T06:12:43.480672+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GISPHN/qgis-tile-road-connector/issues]]></tracker>
        <repository><![CDATA[https://github.com/GISPHN/qgis-tile-road-connector]]></repository>
        <tags><![CDATA[network,road,topology,snap,vector tile,gsi]]></tags>
        <downloads>368</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ireland Nearest Analysis (EPA API + EPSG:29903)" version="1.2.8" plugin_id="4779">
        <description><![CDATA[Nearest feature analysis for Irish datasets (EPSG:29903) with EPA API integration. Includes distance and bearing calculation with CSV export. Contains data from the Environmental Protection Agency (EPA), licensed under CC BY 4.0.]]></description>
        <about><![CDATA[Ireland Nearest Analysis is a QGIS plugin designed for spatial workflows in Ireland. Key features: works with Irish Transverse Mercator (EPSG:29903); integrates with the EPA API for automated data retrieval; performs nearest feature analysis; calculates distance and bearing; exports results to CSV. Requirements: project CRS should be EPSG:29903; internet connection required for API access.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/chao515737/nearest_analysis_plugin]]></homepage>
        <file_name>nearest_analysis.1.2.8.zip</file_name>
        <icon>/media/packages/2026/icon_HClsrzn.png</icon>
        <author_name><![CDATA[Quarry Consulting, Ireland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nearest_analysis/version/1.2.8/download/</download_url>
        <uploaded_by><![CDATA[chao]]></uploaded_by>
        <create_date>2026-02-25T18:40:11.175795+00:00</create_date>
        <update_date>2026-04-14T11:02:45.227699+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chao515737/nearest_analysis_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/chao515737/nearest_analysis_plugin]]></repository>
        <tags><![CDATA[distance,csv,nearest,bearing,spatial-analysis,ireland,epa-api,epsg29903,irish-transverse-mercator]]></tags>
        <downloads>928</downloads>
        <average_vote>4.819903601927962</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Coords" version="1.0.0" plugin_id="4780">
        <description><![CDATA[Place and move points by typed coordinates (φ/λ, E/N or X/Y). Create new points from coordinates and edit attributes immediately.]]></description>
        <about><![CDATA[The plugin lets users move selected points to exact φ/λ, E/N or X/Y values and create new point features directly from typed coordinates, without manual digitizing.

WORKFLOW:
1. Open the plugin and choose a point layer.
2. Use &quot;Load selection&quot; to load selected features into the table.
3. Type new coordinates into the &quot;New&quot; fields.
4. Click &quot;Apply move&quot; to reposition only edited points. Unchanged rows are skipped.

CREATE NEW POINTS:
1. Go to &quot;Create new points&quot;.
2. Click &quot;Add row&quot; and enter coordinates.
3. Click &quot;Create points and edit attributes&quot;.
4. The attribute form opens automatically for immediate data entry.

FEATURES:
- Works in the layer CRS (supports geodetic and projected systems).
- Supports WGS84 longitude/latitude or projected Easting/Northing.
- Opens attribute form after creating new points.
- Does not auto-save edits; use QGIS Save Edits / Rollback.
This tool is designed for high-precision GIS workflows where coordinates are known and points must be placed or adjusted accurately.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/web-karta/coords]]></homepage>
        <file_name>coords.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_V59bT32.png</icon>
        <author_name><![CDATA[Josip Alpeza]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coords/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[geodezija]]></uploaded_by>
        <create_date>2026-02-25T18:45:29.115035+00:00</create_date>
        <update_date>2026-02-25T18:45:30.990178+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/web-karta/coords/issues]]></tracker>
        <repository><![CDATA[https://github.com/web-karta/coords]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>415</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Генератор укосів" version="0.1" plugin_id="4781">
        <description><![CDATA[Автоматизована побудова укосів, обривів та підпірних стінок]]></description>
        <about><![CDATA[Плагін призначений для автоматизації створення картографічних умовних знаків укосів, обривів та укріплених набережних. Він автоматично розраховує перпендикуляри між верхньою та нижньою бровками, створює бергштрихи з правильним чергуванням довжини та генерує точкові об&#x27;єкти для укріплених схилів відповідно до топографічних стандартів.

&quot;This plugin automates the generation of topographic symbols for slopes, escarpments, and reinforced embankments. It automatically calculates perpendiculars between the upper and lower breaklines, draws slope hachures with correctly alternating lengths, and generates point features for reinforced slopes according to cartographic standards.&quot;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mihel0488-dotcom/Plagin]]></homepage>
        <file_name>ua_slope_topo_builder.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_EymRRUc.png</icon>
        <author_name><![CDATA[Mikhaylo Orlovskyi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ua_slope_topo_builder/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mihel0488]]></uploaded_by>
        <create_date>2026-02-25T19:13:19.388540+00:00</create_date>
        <update_date>2026-02-25T19:13:21.342013+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mihel0488-dotcom/Plagin/issues]]></tracker>
        <repository><![CDATA[https://github.com/mihel0488-dotcom/Plagin.git]]></repository>
        <tags><![CDATA[cad,database,line,geometry,topography,ukraine,картографія,обриви,топографія,укоси,насипи,умовні знаки]]></tags>
        <downloads>147</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bearing Protractor" version="3.9.2" plugin_id="4782">
        <description><![CDATA[Interactive floating protractor and advanced azimuth/distance measurement tool for RF Site Audit and Network Planning.]]></description>
        <about><![CDATA[Bearing Protractor is a must-have interactive floating tool for QGIS users, particularly in the Telecommunications, RF Engineering, and GIS planning sectors. It provides an on-screen, draggable protractor overlay designed to speed up cell planning and azimuth audits. Key features include:
* Dynamic Multiple Bearings: Create and drag multiple sector antennas (needles) to simulate coverage direction and beamwidth.
* Real-Time Distance Tracking: Automatically calculates real-world distances (Meters/Km) dynamically based on the map canvas CRS and scale.
* Manual Measurement Ruler: Double-click to draw a temporary line to instantly check the azimuth and distance to neighbor sites.
* Cell Footprint Generation: Export current sector configurations as physical polygon vector layers (Cell_Footprint) directly to the map canvas.
* 1-Click Data Export: Instantly copy sector data (Azimuth, Beamwidth, Distance) to the clipboard in tabular format for easy pasting into spreadsheets or reports.
* Persistent Settings: All visual customizations (ring size, colors, fonts, sector counts) are automatically saved across QGIS sessions.
* Bilingual Support &amp; Clean UI: Seamlessly switch between English and Indonesian, featuring an unobtrusive, transparent interface that doesn&#x27;t block map visibility.
Whether you are verifying physical tuning, doing site audits, or planning new macro cells, this tool replaces traditional static measurement plugins with a fluid, visual experience.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/junethtea/bearing-protractor]]></homepage>
        <file_name>bearing_protractor.3.9.2.zip</file_name>
        <icon>/media/packages/2026/icon_bpvRm5h.png</icon>
        <author_name><![CDATA[Jujun Junaedi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bearing_protractor/version/3.9.2/download/</download_url>
        <uploaded_by><![CDATA[juneth]]></uploaded_by>
        <create_date>2026-02-25T19:41:34.222762+00:00</create_date>
        <update_date>2026-03-11T06:13:37.603434+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/junethtea/bearing-protractor/issues]]></tracker>
        <repository><![CDATA[https://github.com/junethtea/bearing-protractor]]></repository>
        <tags><![CDATA[distance,tools,measurement,azimuth,bearing,telecommunications,site audit,cell planning,protractor,rf engineer]]></tags>
        <downloads>1017</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Equidistant Site Center" version="1.0.0" plugin_id="4783">
        <description><![CDATA[Compute a spatially balanced center point from selected sites using least-squares distance optimization.]]></description>
        <about><![CDATA[Equidistant Site Center is a QGIS plugin designed for RF engineers, telecom planners, and GIS analysts. It computes an optimized spatial center point from multiple selected site locations using equal-distance optimization. The result includes center visualization and distance lines for spatial analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/erlrich/equidistant-site-center-qgis]]></homepage>
        <file_name>Equidistant.1.0.0.zip</file_name>
        <icon>/media/packages/2026/new_site.png</icon>
        <author_name><![CDATA[Achmad Amrulloh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Equidistant/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[achmadamrulloh]]></uploaded_by>
        <create_date>2026-02-26T07:59:12.613035+00:00</create_date>
        <update_date>2026-02-26T07:59:14.734619+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/erlrich/equidistant-site-center-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/erlrich/equidistant-site-center-qgis]]></repository>
        <tags><![CDATA[geometry,spatial analysis,optimization,telecom,rf planning,site planning]]></tags>
        <downloads>165</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Shooter" version="1.0.0" plugin_id="4784">
        <description><![CDATA[Engineering-grade QGIS plugin for manual sector and site creation in RF planning workflows.]]></description>
        <about><![CDATA[Shooter is a professional QGIS plugin designed for RF engineers and GIS analysts to create, edit, and manage sector geometry with controlled azimuth handling and structured site visualization.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/erlrich/Shooter]]></homepage>
        <file_name>Shooter.1.0.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Achmad Amrulloh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Shooter/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[achmadamrulloh]]></uploaded_by>
        <create_date>2026-02-26T09:54:45.347537+00:00</create_date>
        <update_date>2026-02-26T09:55:24.087897+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/erlrich/Shooter/issues]]></tracker>
        <repository><![CDATA[https://github.com/erlrich/Shooter]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>168</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LAS to ENVI-met Tree Converter" version="1.1" plugin_id="4786">
        <description><![CDATA[Converts LAS/LAZ point clouds into ENVI‑met tree models with Leaf Area Density (LAD) calculation and A‑gs physiological parameterisation]]></description>
        <about><![CDATA[This plugin provides a complete workflow to convert LiDAR point clouds (LAS/LAZ format) into 3D tree models suitable for the microclimate simulation software ENVI‑met. Users can interactively select a trunk point and define a region of interest, apply percentile‑based filtering to isolate tree points, and then scale, rotate, or translate the point cloud to match desired dimensions. The plugin voxelises the data at 1 m resolution and calculates Leaf Area Density (LAD) values using user‑selected reference voxels. Further refinements such as crown factor adjustment, trunk enhancement, LAD thresholding, and ground clearing are available. Physiological A‑gs parameters can be chosen from species presets or entered manually. The final tree can be exported as an ENVI‑met plant file (.txt) and optionally inserted directly into an existing project database. Designed for researchers and urban planners, the plugin bridges the gap between high‑resolution LiDAR data and microclimate modelling in ENVI‑met. Some of the tools in las2ENVImet require the Python libraries laspy, lazrs and matplotlib, which are not included in the default installation of QGIS. See the &quot;Dependencies&quot; section in the README file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/peer-schoeneberger/las2ENVImet#readme]]></homepage>
        <file_name>las2ENVImet.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_H6CHubn.png</icon>
        <author_name><![CDATA[Peer Schöneberger]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/las2ENVImet/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[las2envimet]]></uploaded_by>
        <create_date>2026-02-26T16:35:38.583020+00:00</create_date>
        <update_date>2026-03-06T16:39:31.262767+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/peer-schoeneberger/las2ENVImet/issues]]></tracker>
        <repository><![CDATA[https://github.com/peer-schoeneberger/las2ENVImet]]></repository>
        <tags><![CDATA[lidar,point cloud,vegetation,urban climate,las,microclimate,envi-met,envimet,tree,lad,voxel,urban forestry]]></tags>
        <downloads>390</downloads>
        <average_vote>4.999750012499375</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AlterrixDefaultSaveLocation" version="1.2.1" plugin_id="4787">
        <description><![CDATA[Automatically sets and enforces a consistent default save location for all QGIS dialogs - pre-defined for Alterrix folder infrastructure]]></description>
        <about><![CDATA[The plugin redirects save paths, file widgets, and browse dialogs to a user-defined project folder, ensuring that new layers and exports always land in the correct directory. Bare filenames typed into QGIS widgets are expanded automatically, and missing folders are created on the fly. Includes configurable defaults and project-aware folder detection. It detects the folder &quot;100 GIS-Daten&quot;, &quot;Geodata&quot; or &quot;Geodaten&quot; and chooses it automatically as default save folder.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitea.osgeo.org/looping/AlterrixDefaultSaveLocation]]></homepage>
        <file_name>AlterrixDefaultSaveLocation.1.2.1.zip</file_name>
        <icon>/media/packages/2026/folder_vnMBtkl.png</icon>
        <author_name><![CDATA[Lukas Schnermann]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AlterrixDefaultSaveLocation/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[looping]]></uploaded_by>
        <create_date>2026-02-26T18:45:02.359586+00:00</create_date>
        <update_date>2026-03-30T07:36:15.035370+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitea.osgeo.org/looping/AlterrixDefaultSaveLocation/issues]]></tracker>
        <repository><![CDATA[https://gitea.osgeo.org/looping/AlterrixDefaultSaveLocation]]></repository>
        <tags><![CDATA[data management,layer saving,gis-daten,last used directory,default save location,project structure,file dialog,gis daten,save path,export path,filename expansion,project folder,auto path,qgis settings,windows paths,directory control,standard speicherort,standardspeicherort,standard-speicherort]]></tags>
        <downloads>326</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multi-Encode Vector Converter" version="0.2.1" plugin_id="4789">
        <description><![CDATA[Solves character encoding issues (mojibake) when converting vector data to GeoPackage.]]></description>
        <about><![CDATA[Multi-Encode Vector Converter is a QGIS plugin designed to solve character encoding issues (e.g., garbled special characters or accents) when converting vector data, such as Shapefiles, to GeoPackage (GPKG), ensuring safe data integration. It allows you to preview attribute data before conversion, specify the correct encoding from a wide range of standard Python encodings (e.g., UTF-8, Windows-1252, ISO-8859-1), and output a standard UTF-8 GeoPackage. It also supports joining external CSV files with different encodings during the conversion process. Support: https://paypal.me/rawslnc]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raw-slnc/multi_encode_vector_converter]]></homepage>
        <file_name>multi_encode_vector_converter.0.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_FUnrmhs.png</icon>
        <author_name><![CDATA[Hideharu Masai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/multi_encode_vector_converter/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[rawslnc]]></uploaded_by>
        <create_date>2026-02-27T05:26:49.216740+00:00</create_date>
        <update_date>2026-04-09T14:22:30.387052+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raw-slnc/multi_encode_vector_converter/issues]]></tracker>
        <repository><![CDATA[https://github.com/raw-slnc/multi_encode_vector_converter]]></repository>
        <tags><![CDATA[vector,join,encoding,csv,conversion,geopackage,mojibake,utf-8,cp932,shift_jis]]></tags>
        <downloads>214</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Floating Compass" version="1.0.2" plugin_id="4790">
        <description><![CDATA[Persistent floating orientation interface for real-time azimuth visualization and directional alignment in QGIS.]]></description>
        <about><![CDATA[Floating Compass is a standalone floating orientation interface for real-time azimuth visualization and workflow-centric directional alignment in QGIS. Designed for RF planning and GIS professionals requiring persistent on-canvas orientation control.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/erlrich/FloatingCompass]]></homepage>
        <file_name>FloatingCompass.1.0.2.zip</file_name>
        <icon>/media/packages/2026/compass_RPIeALN.svg</icon>
        <author_name><![CDATA[Achmad Amrulloh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FloatingCompass/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[achmadamrulloh]]></uploaded_by>
        <create_date>2026-02-27T06:45:50.932891+00:00</create_date>
        <update_date>2026-03-03T01:32:36.914698+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/erlrich/FloatingCompass/issues]]></tracker>
        <repository><![CDATA[https://github.com/erlrich/FloatingCompass]]></repository>
        <tags><![CDATA[orientation,gis,azimuth,compass,rf planning,rf optimization,overlay tool]]></tags>
        <downloads>325</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Netcad DNS Koordinat Donusum" version="2.1.0" plugin_id="4791">
        <description><![CDATA[Coordinate transformation using Netcad DNS files: Helmert, Affine and TIN methods.]]></description>
        <about><![CDATA[This plugin reads Netcad .dns transformation files and applies coordinate
transformation to selected vector layers.

SUPPORTED METHODS:
- Helmert (4 parameters): Isotropic scale + rotation + translation.
Most common method. Minimum 2 control points required.
- Affine (6 parameters): Different scale in E/N direction + shear.
More flexible. Minimum 3 control points required.
- TIN (Delaunay Triangulation): Local transformation per triangle.
Residual = 0 at all control points (exact pass-through).
Best accuracy for large areas. Minimum 3 control points required.

SUPPORTED DNS FILE TYPES:
- Point-Based ($AMAT + $NOK): Parameters computed from control points via LSQ.
- Matrix-Based ($AMAT only): Parameters read directly from $AMAT matrix.

QUALITY CONTROL:
- Data Snooping (Baarda Test): Iteratively detects suspicious control points.
- Normalized residuals (w-values) vs critical value comparison.
- Error ellipses: sigma_E, sigma_N, sigma_P, semi-major/minor axes.
- Residual vector and error ellipse layers can be added to the map.

MULTI-LAYER SUPPORT:
- Multiple layers can be selected (Ctrl/Shift) and transformed in one step.
- Option to transform in-place or create new layers with custom suffix.

REPORTING:
- HTML report: Opens in browser with full CSS styling.
- PDF report: Generated via QGIS WebEngine.

Compatible with QGIS 3.16+ and QGIS 4.x (Qt5/Qt6).
scipy package required for TIN method.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alieryigit/netcad-dns-d-n-m]]></homepage>
        <file_name>netcad_dns_transform.2.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_0fsHmUT.png</icon>
        <author_name><![CDATA[DNS Transform Contributors]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/netcad_dns_transform/version/2.1.0/download/</download_url>
        <uploaded_by><![CDATA[alieryigit980]]></uploaded_by>
        <create_date>2026-02-27T13:41:36.949338+00:00</create_date>
        <update_date>2026-04-11T16:19:23.982400+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alieryigit/netcad-dns-d-n-m/issues]]></tracker>
        <repository><![CDATA[https://github.com/alieryigit/netcad-dns-d-n-m]]></repository>
        <tags><![CDATA[cadastre,affine,coordinate system,turkey,tin,surveying,geodesy,helmert,itrf,coordinate transformation,turef,dns,delaunay,netcad]]></tags>
        <downloads>141</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vantor" version="0.1.0" plugin_id="4793">
        <description><![CDATA[A QGIS plugin for searching, visualizing, and downloading data from the Vantor Open Data STAC catalog.]]></description>
        <about><![CDATA[Browse and visualize satellite imagery from the Vantor Open Data Program.

Features:
- Browse disaster event collections from the Vantor STAC catalog
- Search imagery by map extent or drawn bounding box
- Filter by event and pre/post-event phase
- Visualize Cloud-Optimized GeoTIFF (COG) imagery directly in QGIS
- Download selected imagery to disk
- Interactive footprint display with bidirectional table/map selection
- One-click dependency installer using uv for fast cross-platform package management

Requirements:
- Python packages: pystac (installed automatically via Settings &gt; Dependencies)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-vantor-plugin]]></homepage>
        <file_name>vantor.0.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_aJpp8VO.svg</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vantor/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2026-02-28T01:46:08.063418+00:00</create_date>
        <update_date>2026-02-28T01:46:10.019486+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-vantor-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-vantor-plugin]]></repository>
        <tags><![CDATA[disaster,remote sensing,satellite,imagery,open data,stac,cog,vantor]]></tags>
        <downloads>370</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Attribute Templates &amp; Autofill" version="1.0.2" plugin_id="4795">
        <description><![CDATA[Create reusable attribute templates and automatically fill fields when digitizing vector features.]]></description>
        <about><![CDATA[Attribute Templates &amp; Autofill allows you to create reusable attribute presets for vector layers and automatically apply them when creating new features.
The plugin significantly speeds up digitizing workflows and ensures consistent attribute data entry.

Main features:
• Create multiple attribute templates per layer
• Automatically apply active template when adding new features
• Safe handling of primary key fields (prevents UNIQUE constraint errors)
• Apply templates to selected features
• Import and export templates (JSON format)
• Multilingual interface

This plugin is ideal for cadastral mapping, utilities, environmental surveys, infrastructure projects, and large-scale GIS data entry tasks.

Compatible with QGIS 3.16+]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Geist-dev/AttributeTemplateFiller]]></homepage>
        <file_name>AttributeTemplateFiller.1.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_jyu3osm.png</icon>
        <author_name><![CDATA[Алешин Р.И.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AttributeTemplateFiller/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[geist364]]></uploaded_by>
        <create_date>2026-02-28T21:19:18.717991+00:00</create_date>
        <update_date>2026-03-02T12:16:49.474632+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Geist-dev/AttributeTemplateFiller/issues]]></tracker>
        <repository><![CDATA[https://github.com/Geist-dev/AttributeTemplateFiller]]></repository>
        <tags><![CDATA[editing,digitizing,productivity,attributes,gis,forms,presets,атрибуты,field defaults,attribute templates,автозаполнение,шаблоны,autofill,data entry,оцифровка]]></tags>
        <downloads>355</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Universal Raster to Point Join" version="1.1.1" plugin_id="4797">
        <description><![CDATA[Joins an area mask with a grid and extracts attributes from a data layer (Raster to Points).]]></description>
        <about><![CDATA[Converts a grid into points, filters by an area polygon, and performs a spatial join with a reference data layer. Features automatic CRS handling and centroid-trap fix.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lienusrob/universal-raster-join-qgis]]></homepage>
        <file_name>universal_raster_join.1.1.1.zip</file_name>
        <icon>/media/packages/2026/Gemini_Generated_Image_acdfboacdfboacdf.png</icon>
        <author_name><![CDATA[Lienus Rob]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/universal_raster_join/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[lienusrob]]></uploaded_by>
        <create_date>2026-03-02T09:57:49.536141+00:00</create_date>
        <update_date>2026-03-03T08:58:59.787949+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lienusrob/universal-raster-join-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/lienusrob/universal-raster-join-qgis]]></repository>
        <tags><![CDATA[Rasterabfragen,Umweltplanung,BFN abfragen]]></tags>
        <downloads>171</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoAI Fault Spine Extractor" version="1.1" plugin_id="4798">
        <description><![CDATA[Professional tool for extracting fault spines from point-based earthquake catalogs. v1.1 adds GeoPackage disk storage, field auto-detection, and optimized smoothing (Sigma 0.001-20.0).]]></description>
        <about><![CDATA[This plugin automates the structural interpretation of earthquake catalogs by transforming raw point seismicity data into linear fault spines using DBSCAN clustering and PCA analysis. Developed by Murat BEYHAN (Geophysical Engineer, M.Sc., Seismologist). Academic Background: Ankara University (Geophysical Engineering) &amp; IISEE/BRI Tsukuba, Japan (Seismology).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/muratbeyhan/GeoAI_Fault_Spine_Extractor]]></homepage>
        <file_name>GeoAI_Fault_Spine_Extractor.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_FO0Ec4q.png</icon>
        <author_name><![CDATA[Murat BEYHAN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoAI_Fault_Spine_Extractor/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[muratbeyhan]]></uploaded_by>
        <create_date>2026-03-02T14:49:49.084569+00:00</create_date>
        <update_date>2026-03-03T11:40:18.791114+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/muratbeyhan/GeoAI_Fault_Spine_Extractor/issues]]></tracker>
        <repository><![CDATA[https://github.com/muratbeyhan/GeoAI_Fault_Spine_Extractor]]></repository>
        <tags><![CDATA[python,earthquake,pca,geophysics,japan,fault,seismology,sismoloji,fay,jeofizik,türkiye,deprem,dbscan,point-seismicity]]></tags>
        <downloads>426</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tower Spotter" version="1.3.3" plugin_id="4799">
        <description><![CDATA[Generates tower polygons at each vertex of LineString layers or imported KML files.
Automatically performs dynamic UTM reprojection for accurate meter-based radius calculations.
Output can be exported as Google Earth compatible KML (WGS84).
No external dependencies required.]]></description>
        <about><![CDATA[Tower Spotter creates tower footprint polygons for towers in transmission line and infrastructure planning workflows.
Designed for engineering use cases requiring accurate tower spotting  from geographic CRS layers.
Supports customizable radius, polygon sides, and colors.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ineffablexd/tower_spotter]]></homepage>
        <file_name>tower_spotter.1.3.3.zip</file_name>
        <icon>/media/packages/2026/icon_p6HCi9g.png</icon>
        <author_name><![CDATA[Vicky Sharma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tower_spotter/version/1.3.3/download/</download_url>
        <uploaded_by><![CDATA[ineffable]]></uploaded_by>
        <create_date>2026-03-03T07:56:42.862974+00:00</create_date>
        <update_date>2026-03-13T16:56:00.192241+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ineffablexd/tower_spotter/issues]]></tracker>
        <repository><![CDATA[https://github.com/ineffablexd/tower_spotter]]></repository>
        <tags><![CDATA[kml,polygon,infrastructure,utm,engineering,powerline,transmission,tower]]></tags>
        <downloads>243</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Real-time dynamic route analysis tool for QGIS that calculates vertex angles and segment lengths in meters using automatic CRS detection and UTM projection handling.]]></description>
        <about><![CDATA[Dynamically updates vertex angles and segment distances in real time when geometry is modified. Automatically handles projected and geographic coordinate systems using intelligent UTM reprojection. Designed for engineering workflows and transmission line route validation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ineffablexd/dynamic_route_analyser]]></homepage>
        <file_name>dynamic_route_analyser.1.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_ktAbzqQ.png</icon>
        <author_name><![CDATA[Vicky Sharma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dynamic_route_analyser/version/1.1.2/download/</download_url>
        <uploaded_by><![CDATA[ineffable]]></uploaded_by>
        <create_date>2026-03-03T09:25:29.811239+00:00</create_date>
        <update_date>2026-03-13T17:07:04.657076+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ineffablexd/dynamic_route_analyser/issues]]></tracker>
        <repository><![CDATA[https://github.com/ineffablexd/dynamic_route_analyser]]></repository>
        <tags><![CDATA[distance,angle,measurement,gis,utm,dynamic,route,engineering,transmission]]></tags>
        <downloads>260</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Folios wizard allows user to easily create frames usuable to define layouts according needed scale and paper fromat. These layouts are used by Atlas to genrate all maps in one step. A map index is created if at least two maps or required by user.]]></description>
        <about><![CDATA[This plugin helps you to define layouts.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://azimut-fr.gitlab.io/qgis/folios_wizard]]></homepage>
        <file_name>folios_wizard.0.3.3.zip</file_name>
        <icon>/media/packages/2026/icon_folios_wizard_k72LYRa.png</icon>
        <author_name><![CDATA[Jean-Marie Arsac (Azimut)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/folios_wizard/version/0.3.3/download/</download_url>
        <uploaded_by><![CDATA[jmarsac]]></uploaded_by>
        <create_date>2026-03-03T21:32:15.557119+00:00</create_date>
        <update_date>2026-04-03T15:02:13.914701+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/azimut-fr/qgis/folios_wizard/-/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/azimut-fr/qgis/folios_wizard]]></repository>
        <tags><![CDATA[print,plot,layout,wizard,folio]]></tags>
        <downloads>437</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Contour Lines" version="1.2.1" plugin_id="4802">
        <description><![CDATA[Generates contour lines from Copernicus GLO-30 worldwide elevation data]]></description>
        <about><![CDATA[This plugin generates contour lines and hillshade overlays anywhere in the world using the Copernicus GLO-30 Digital Elevation Model (DEM), provided free of charge by the European Space Agency (ESA) via the Copernicus programme. No API key or account is required. DEM tiles are downloaded on demand from AWS Open Data (https://registry.opendata.aws/copernicus-dem/) and cached locally. Elevation data: Copernicus DEM © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DanielHSMartin/ContourLines]]></homepage>
        <file_name>ContourLines.1.2.1.zip</file_name>
        <icon>/media/packages/2026/logo_zXjeAe2.png</icon>
        <author_name><![CDATA[Daniel Hulshof Saint Martin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ContourLines/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[danielhsm]]></uploaded_by>
        <create_date>2026-03-05T15:50:26.698301+00:00</create_date>
        <update_date>2026-03-14T13:35:25.401118+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DanielHSMartin/ContourLines/issues]]></tracker>
        <repository><![CDATA[https://github.com/DanielHSMartin/ContourLines]]></repository>
        <tags><![CDATA[vector,python,raster,dem,elevation,gdal,global,worldwide,contour,copernicus,contour lines,altimetry]]></tags>
        <downloads>3455</downloads>
        <average_vote>4.933168894370187</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Scientific Color Maps V8" version="1.0" plugin_id="4803">
        <description><![CDATA[Integrates &quot;Scientific color maps V8&quot; into the style manager]]></description>
        <about><![CDATA[This extension adds the &quot;Scientific color maps v8&quot; developed by Fabio Crameri to the QGIS 3.x style manager.

Cette extension ajoute au gestionnaire de style de QGIS 3.x les rampes de couleurs &quot;Scientific color maps v8&quot; développées par Fabio Crameri.

Esta extensión añade al gestor de estilos de QGIS 3.x las gamas de colores «Scientific color maps v8» desarrolladas por Fabio Crameri.

Esta extensão adiciona ao gestor de estilos do QGIS 3.x as rampas de cores «Scientific color maps v8» desenvolvidas por Fabio Crameri.

Questa estensione aggiunge al gestore di stili di QGIS 3.x le scale cromatiche &quot;Scientific color maps v8&quot; sviluppate da Fabio Crameri.

Αυτή η επέκταση προσθέτει στο πρόγραμμα διαχείρισης στυλ του QGIS 3.x τις χρωματικές κλίμακες «Scientific color maps v8» που αναπτύχθηκαν από τον Fabio Crameri.

Это расширение добавляет в менеджер стилей QGIS 3.x цветовые шкалы «Scientific color maps v8», разработанные Фабио Крамери.

يضيف هذا الملحق إلى مدير الأنماط في QGIS 3.x سلالم الألوان &quot;Scientific color maps v8&quot; التي طورها Fabio Crameri.

此扩展为QGIS 3.x的样式管理器添加了由Fabio Crameri开发的&quot;Scientific color maps v8&quot;色阶。

See :
Crameri, F. (2018). Scientific colour maps. Zenodo. https://doi.org/10.5281/zenodo.1243862
Crameri, F. (2018), Geodynamic diagnostics, scientific visualisation and StagLab 3.0, Geosci. Model Dev., 11, 2541-2562, https://doi.org/10.5194/gmd-11-2541-2018
Crameri, F., G.E. Shephard, and P.J. Heron (2020), The misuse of colour in science communication, Nature Communications, 11, 5444, https://doi.org/10.1038/s41467-020-19160-7

Thanks to Mélina M. for introducing me to Fabio Crameri&#x27;s work during our fieldwork in Cairo.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.fabiocrameri.ch/colourmaps/]]></homepage>
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        <icon>/media/packages/2026/scientificcolourmaps_logodark_9BUrmJm.png</icon>
        <author_name><![CDATA[Sylvain Théry - CNRS - UMR 5281 ART-Dev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/scientific_color_maps/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[sylther]]></uploaded_by>
        <create_date>2026-03-05T18:07:32.265581+00:00</create_date>
        <update_date>2026-03-05T18:09:53.332811+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.huma-num.fr/sthery/scientific-colour-maps/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.huma-num.fr/sthery/scientific-colour-maps/]]></repository>
        <tags><![CDATA[palette,fabio crameri,scientific color maps v8,color map,style manager]]></tags>
        <downloads>554</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Plugin Info Browser" version="0.1.2" plugin_id="4804">
        <description><![CDATA[Browse and filter QGIS plugins by metadata and compatibility.]]></description>
        <about><![CDATA[Plugin Info Browser fetches the official QGIS plugin repository and displays all available plugins in a filterable table. You can filter by name, author, rating, QGIS minimum version, category, creation date, and experimental/deprecated status. Double-clicking a plugin opens the Plugin Manager and copies the plugin name to your clipboard for easy search. Installed plugins are highlighted in the list. Support: https://paypal.me/rawslnc]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raw-slnc/plugin_info]]></homepage>
        <file_name>plugin_info.0.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_KmI8fWU.png</icon>
        <author_name><![CDATA[Hideharu Masai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/plugin_info/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[rawslnc]]></uploaded_by>
        <create_date>2026-03-06T06:48:51.586548+00:00</create_date>
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        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raw-slnc/plugin_info/issues]]></tracker>
        <repository><![CDATA[https://github.com/raw-slnc/plugin_info]]></repository>
        <tags><![CDATA[browser,filter,metadata,repository,plugins]]></tags>
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        <average_vote>4.9950049950049955</average_vote>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoBearing-Distance" version="1.1" plugin_id="4806">
        <description><![CDATA[Feature digitizing tool using ellipsoidal bearing and distance inputs.
This plugin complements the native Advanced Digitizing Tool in QGIS.
It allows users to create lines and polygons using precise
ellipsoidal bearing and distance values with snapping support.]]></description>
        <about><![CDATA[GeoBearing-Distance enhances the QGIS digitizing workflow by allowing
precise feature creation using ellipsoidal bearing and distance inputs.
It is particularly useful in aviation, surveying, and geospatial
engineering workflows where true ellipsoidal measurements are required.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bhuvanamitrasharma/GeoBearing-Distance-Plugin]]></homepage>
        <file_name>BearingToolPlugin.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_z02ILS4.png</icon>
        <author_name><![CDATA[Bhuvanamitra S]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BearingToolPlugin/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[bhuvanamitrasharma]]></uploaded_by>
        <create_date>2026-03-06T10:59:11.819040+00:00</create_date>
        <update_date>2026-03-11T18:31:41.241797+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bhuvanamitrasharma/GeoBearing-Distance-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/bhuvanamitrasharma/GeoBearing-Distance-Plugin]]></repository>
        <tags><![CDATA[distance,digitizing,lines,bearing,polygons,navigation,geodesic,aviation,true north,ellipsoidal]]></tags>
        <downloads>527</downloads>
        <average_vote>4.799040191961607</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Default Save Location" version="1.0.2" plugin_id="4807">
        <description><![CDATA[Automatically sets and enforces a project-specific default save location for all QGIS Dialogs.]]></description>
        <about><![CDATA[The plugin redirects save paths, file widgets, and browse dialogs to a user-defined project folder, ensuring that new layers, GeoPackages, and exports always land in the correct directory. Bare filenames typed into QGIS widgets are expanded automatically, and missing folders are created on the fly. Includes configurable defaults and project-aware folder detection.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://gitea.osgeo.org/looping/DefaultSaveLocation/]]></homepage>
        <file_name>DefaultSaveLocation.1.0.2.zip</file_name>
        <icon>/media/packages/2026/folder_LQnVuQj.png</icon>
        <author_name><![CDATA[Lukas Schnermann]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DefaultSaveLocation/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[looping]]></uploaded_by>
        <create_date>2026-03-06T11:29:45.084860+00:00</create_date>
        <update_date>2026-03-30T07:43:22.488509+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitea.osgeo.org/looping/DefaultSaveLocation/issues]]></tracker>
        <repository><![CDATA[https://gitea.osgeo.org/looping/DefaultSaveLocation/]]></repository>
        <tags><![CDATA[geopackage,data management,layer saving,workflow automation,gis-daten,last used directory,qgsfilewidget,default save location,project structure,file dialog,gis daten,save path,export path,filename expansion,project folder,auto path,qgis settings,windows paths,directory control]]></tags>
        <downloads>304</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Better Rotate" version="1.1.0" plugin_id="4808">
        <description><![CDATA[Advanced rotation tool with custom coordinate system and rotation center]]></description>
        <about><![CDATA[Interactive rotation of selected features with user-defined coordinate system and rotation center.

Rotation center
1) Group center: rotate all selected features around a single shared center. You can set a custom center with Ctrl + Left Click.
2) Individual centers: rotate each feature around its own centroid.

Rotate in a chosen CRS
Geometries sometimes need to be rotated in a projected Target CRS instead of a geographic (Lat/Lon) CRS. This avoids distortion before transforming the results back to the source layer CRS for output.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/msorair/qgis-better-rotate-plugin/#readme]]></homepage>
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        <icon>/media/packages/2026/better_rotate_wNFGLlW.svg</icon>
        <author_name><![CDATA[msorair]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/better_rotate_plugin/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[sorair]]></uploaded_by>
        <create_date>2026-03-06T12:43:36.063296+00:00</create_date>
        <update_date>2026-03-29T02:53:29.639796+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/msorair/qgis-better-rotate-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/msorair/qgis-better-rotate-plugin]]></repository>
        <tags><![CDATA[vector,rotate]]></tags>
        <downloads>215</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NEBULA Network-Based Urban Location Analyzer" version="1.0.1" plugin_id="4809">
        <description><![CDATA[NEBULA (Network-Based Urban Location Analyzer) is a QGIS plugin designed to support evidence-based planning of urban facilities using network accessibility analysis and facility location optimization.

The plugin evaluates existing facilities, identifies underserved demand areas, and recommends optimal facility locations using classical operations research models such as the Maximum Coverage Location Problem (MCLP) and the P-Median model.

NEBULA integrates graph-based spatial analysis, demand coverage evaluation, and spatial equity diagnostics to provide robust decision-support for infrastructure planning and service allocation.

The tool supports a wide range of planning applications including:
1. Public transport stop planning
2. Healthcare and education facility allocation
3. Waste management infrastructure planning
4. Public space accessibility assessment
5. Emergency and evacuation facility placement]]></description>
        <about><![CDATA[NEBULA provides an integrated spatial intelligence framework for analyzing and optimizing urban facility systems based on network accessibility.

The plugin combines concepts from spatial network science, operations research, and urban planning to evaluate facility coverage, identify spatial service gaps, and generate optimized facility location scenarios.

It includes analytical diagnostics such as population coverage assessment, accessibility distance statistics, spatial equity indicators (Gini and Theil indices), and visual analytics including accessibility histograms, Lorenz curves, and facility performance charts.

NEBULA is designed for research, planning practice, and spatial decision-support systems in urban and regional planning.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/NEBULA]]></homepage>
        <file_name>nebula_network_based_urban_location_analyzer.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_kGA2xI7.png</icon>
        <author_name><![CDATA[Firman Afrianto, Maya Safira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nebula_network_based_urban_location_analyzer/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2026-03-06T13:19:22.317714+00:00</create_date>
        <update_date>2026-03-06T14:30:52.147470+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/NEBULA/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/NEBULA]]></repository>
        <tags><![CDATA[network analysis,spatial optimization,urban planning,smart city,transport planning,spatial equity,location allocation,facility location]]></tags>
        <downloads>298</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ParkSense Metrics" version="1.0.0" plugin_id="4810">
        <description><![CDATA[ParkSense Metrics is a QGIS plugin designed to estimate urban parking supply and parking pressure using spatial analytics.
The plugin transforms building footprints, road networks, and optional point-of-interest (POI) data into measurable parking capacity indicators.

It supports grid-based parking supply estimation, roadside parking capacity modeling, building-based off-street parking estimation,
and POI-based demand proxy analysis to evaluate spatial parking pressure patterns in urban environments.

The plugin enables planners, researchers, and urban mobility analysts to convert spatial datasets into actionable parking capacity metrics
for mobility planning, land-use interpretation, and urban infrastructure assessment.

It includes the following main analytical components:
1. On-Street Parking Estimator – calculates curbside parking capacity from road geometry and parking-side rules.
2. Off-Street Parking Estimator – estimates parking capacity from building footprints and land-use parking factors.
3. Parking Supply Grid Generator – aggregates parking supply indicators into a regular spatial grid.
4. Parking Pressure Analyzer – compares parking demand proxies from POI data with available supply to derive parking pressure indicators.]]></description>
        <about><![CDATA[ParkSense Metrics provides an integrated spatial analytics framework for evaluating parking capacity and parking pressure in urban areas.
The plugin applies rule-based estimation models to infer parking supply from built environment datasets,
enabling rapid parking supply assessment where detailed parking inventories are unavailable.

The framework supports urban mobility research, parking management studies, spatial infrastructure planning,
and smart city analytics by transforming spatial layers into interpretable parking capacity indicators.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/ParkSense-Metrics]]></homepage>
        <file_name>parksense_metrics.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_l6y8rRE.png</icon>
        <author_name><![CDATA[Maya Safira, Firman Afrianto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/parksense_metrics/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2026-03-07T07:06:41.632528+00:00</create_date>
        <update_date>2026-03-07T07:06:43.427001+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/ParkSense-Metrics/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/ParkSense-Metrics]]></repository>
        <tags><![CDATA[urban planning,urban mobility,smart city,transport planning,parking demand,parking pressure,parking supply,spatial analytics,parking analysis]]></tags>
        <downloads>132</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Space Syntax Jgraph Analysis" version="0.2.0" plugin_id="4811">
        <description><![CDATA[J-Graph (Justified Graph) space syntax analysis for building layouts. Calculates integration, mean depth, and relative asymmetry for point/line graph layers.]]></description>
        <about><![CDATA[Performs Space Syntax j-graph analysis on QGIS point and line layers representing building/urban spatial networks. Outputs integration scores, mean depth, relative asymmetry, and real relative asymmetry as attributes on the node layer. Based on: Hillier, B., Hanson, J. and Graham, H. (1987). Ideas are in things: an application of the space syntax method to discovering house genotypes. Environment and Planning B, 14(4), pp.363-385.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/HdMiii/SS_Jgraph]]></homepage>
        <file_name>ssjgraph.0.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_jHSJBVS.png</icon>
        <author_name><![CDATA[deminhu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ssjgraph/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[demin94]]></uploaded_by>
        <create_date>2026-03-07T08:19:46.167577+00:00</create_date>
        <update_date>2026-03-12T21:36:22.228333+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HdMiii/SS_Jgraph/issues]]></tracker>
        <repository><![CDATA[https://github.com/HdMiii/SS_Jgraph]]></repository>
        <tags><![CDATA[space syntax,integration,graph analysis,building layout,j-graph]]></tags>
        <downloads>252</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HTML Web Map Exporter" version="1.0.0" plugin_id="4812">
        <description><![CDATA[Export QGIS maps to interactive HTML web maps with vector layers, raster layers, labels, legend and layer control.]]></description>
        <about><![CDATA[HTML Web Map Exporter exports QGIS projects to interactive HTML web maps.

It supports vector layers, raster layers, and XYZ tile layers such as OpenStreetMap.

Exported maps include:
• layer control
• legend
• optional labels
• map metadata

The plugin automatically reprojects data for web map compatibility.

The result is a standalone HTML file that can be opened in any web browser without QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Geist-dev/html-web-map-exporter]]></homepage>
        <file_name>HtmlMapExporter.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_rwNaHQx.png</icon>
        <author_name><![CDATA[Алешин Р.И.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/HtmlMapExporter/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[geist364]]></uploaded_by>
        <create_date>2026-03-07T11:58:04.473173+00:00</create_date>
        <update_date>2026-03-07T11:58:06.296008+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Geist-dev/html-web-map-exporter]]></tracker>
        <repository><![CDATA[https://github.com/Geist-dev/html-web-map-exporter/issues]]></repository>
        <tags><![CDATA[html,geojson,leaflet,web map,webgis,web mapping,qgis web map,leaflet export,interactive map,qgis export,gis web,export map,map export]]></tags>
        <downloads>729</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MOJ 任意座標変換 Loader" version="1.0.1" plugin_id="4813">
        <description><![CDATA[法務局備付地図データ（任意座標系）の読み込みと平面直角座標系への変換を行います。
Loading of Ministry of Justice map data (arbitrary coordinate system) and conversion to the plane rectangular coordinate system.]]></description>
        <about><![CDATA[法務局備付地図データ（ZIP圧縮XMLファイル、任意座標系）を直接読み込み、GCPによるヘルマート/アフィン変換で平面直角座標系へ簡易変換し、QGISプロジェクトにポリゴンレイヤとして追加するプラグインです。尚、本プラグインの利用により生じた損失及び損害等について、著作権者は一切責任を負わないものとします。This plugin directly imports map data provided by the Ministry of Justice (ZIP-compressed XML files, arbitrary coordinate systems), performs a simple conversion to a plane rectangular coordinate system using Hermert/Affine transformation via ground control points (GCPs)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/chosashi5884/mojxml_arb_loader]]></homepage>
        <file_name>mojxml_arb_loader.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_esXLcWu.svg</icon>
        <author_name><![CDATA[Kobayashi Land and House Investigator Office (こばやし土地家屋調査士事務所)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mojxml_arb_loader/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[samurider]]></uploaded_by>
        <create_date>2026-03-07T12:48:56.462957+00:00</create_date>
        <update_date>2026-03-08T07:45:43.576209+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com//chosashi5884/mojxml_arb_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/chosashi5884/mojxml_arb_loader]]></repository>
        <tags><![CDATA[python,processing,japan,moj,land registry,座標変換,地図,coordinate transform,法務局,任意座標]]></tags>
        <downloads>117</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Transit Stop Optimizer" version="1.0.1" plugin_id="4816">
        <description><![CDATA[Transit Stop Optimizer is a QGIS plugin designed to support evidence-based public transport stop planning using network accessibility analysis, demand estimation, and location-allocation optimization.

The plugin evaluates walk-based accessibility to candidate transit stops using a NetworkX graph built from a road network, demand points derived from a population raster, and optional attraction weights from POIs.

It supports two optimization models:
1. MCLP greedy for achieving target population coverage
2. P-Median heuristic for minimizing weighted access distance for a fixed number of stops

The plugin also includes optional AI-augmented demand smoothing, regulatory stop spacing based on Kepdirjen 271 HK.105 DRJD 96, and equity diagnostics using Gini and Theil indices.

Transit Stop Optimizer is suitable for urban transport planning, stop spacing studies, service coverage analysis, and accessibility-based infrastructure planning.]]></description>
        <about><![CDATA[Transit Stop Optimizer provides an integrated spatial intelligence framework for transit stop planning based on road-network accessibility, demand aggregation, optimization, regulatory spacing, and spatial equity evaluation.

The plugin combines graph-based accessibility modelling, population-based demand estimation, POI attractiveness weighting, and classical operations research approaches to support robust stop location decisions.

It includes analytical components such as:
1. Network cleaning and topological preparation
2. Demand point generation from population raster zonal aggregation
3. POI attractiveness weighting using log(1+review)
4. Candidate stop generation from network vertices or corridor lines
5. MCLP and P-Median stop optimization
6. Equity metrics based on weighted access distances
7. Optional AI demand prediction using RandomForest smoothing
8. Regulatory spacing mode with simple zoning or advanced corridor-based variable spacing
9. Output reports and histogram visualization of access distances

Transit Stop Optimizer is designed for research, planning practice, and decision-support workflows in transport and urban planning.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/Transit-Stop-Optimizer]]></homepage>
        <file_name>transit_stop_optimizer.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_xNbchvq.png</icon>
        <author_name><![CDATA[Firman Afrianto, Maya Safira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/transit_stop_optimizer/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2026-03-08T16:22:54.376757+00:00</create_date>
        <update_date>2026-03-08T16:22:56.197068+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/Transit-Stop-Optimizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/Transit-Stop-Optimizer]]></repository>
        <tags><![CDATA[network analysis,accessibility,urban planning,public transport,spatial equity,location allocation,p-median,stop optimization,transit planning,mclp]]></tags>
        <downloads>179</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="israel_trancsad_fix" version="0.1.3" plugin_id="4817">
        <description><![CDATA[Fixes coordinate shift when importing TransCAD layers into QGIS (Israel ITM)]]></description>
        <about><![CDATA[Fixes a coordinate shift that can occur when vector layers exported
from TransCAD are opened in QGIS using the Israel ITM projection (EPSG:2039).
The plugin adds a processing algorithm for applying a corrective transformation to
realign geometries with Israeli basemaps and datasets.

Custom Projection by Guy Kazakov (@mrnapop)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/eithanwes/israel_trancsad_fix]]></homepage>
        <file_name>israel_trancsad_fix.0.1.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Eithan Weiss Schonberg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/israel_trancsad_fix/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[eithanwes]]></uploaded_by>
        <create_date>2026-03-08T18:17:25.572119+00:00</create_date>
        <update_date>2026-03-11T14:45:08.705875+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eithanwes/israel_trancsad_fix/issues]]></tracker>
        <repository><![CDATA[https://github.com/eithanwes/israel_trancsad_fix]]></repository>
        <tags><![CDATA[israel,transcad]]></tags>
        <downloads>165</downloads>
        <average_vote>1.6663889351774703</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="generic_feature_partitioner" version="0.1.0" plugin_id="4818">
        <description><![CDATA[Split polygons using partition lines via topology/polygonize approach]]></description>
        <about><![CDATA[Splits polygon features (e.g. building footprints) using intersecting line features (e.g. internal partition walls) by building a planar topology and polygonizing. Outputs sub-polygons with original attributes plus PARENT_FID and SUB_ID fields.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rafdouglas/GenericFeaturePartitioner]]></homepage>
        <file_name>generic_feature_partitioner.0.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[RafDouglas C. Tommasi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/generic_feature_partitioner/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[rafdouglas]]></uploaded_by>
        <create_date>2026-03-08T18:36:44.436347+00:00</create_date>
        <update_date>2026-03-08T18:36:46.273995+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rafdouglas/GenericFeaturePartitioner/issues]]></tracker>
        <repository><![CDATA[https://github.com/rafdouglas/GenericFeaturePartitioner]]></repository>
        <tags><![CDATA[vector,polygon,split,geometry,topology,partition,polygonize]]></tags>
        <downloads>112</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PortalRouterGUI" version="1.0.0" plugin_id="4819">
        <description><![CDATA[GUI wrapper that runs an external Python-based routing script and loads the resulting route back into the project]]></description>
        <about><![CDATA[GUI wrapper that runs an external Python routing algorithm and loads the computed route into QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/UwiClem/PortalRouterGUI]]></homepage>
        <file_name>PortalRouterGUI.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_V8wSYTd.png</icon>
        <author_name><![CDATA[Clemence Uwitonze]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PortalRouterGUI/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[uwiclem]]></uploaded_by>
        <create_date>2026-03-08T19:51:30.963687+00:00</create_date>
        <update_date>2026-03-08T19:51:32.750299+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UwiClem/PortalRouterGUI/issues]]></tracker>
        <repository><![CDATA[https://github.com/UwiClem/PortalRouterGUI]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>75</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Edit Tool" version="1.0.3" plugin_id="4821">
        <description><![CDATA[A quick QGIS editing map tool with click/drag selection, Ctrl multi-select, right-click context actions, and fast access to vertex and reshape tools.]]></description>
        <about><![CDATA[Edit Tool improves QGIS editing workflow by combining selection and editing shortcuts in one map tool. Use click and drag to select features, Ctrl to toggle selection, double-click to open the Vertex Tool, and right-click for quick access to layer and feature actions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/regio-geospatial/edittool]]></homepage>
        <file_name>edittool.1.0.3.zip</file_name>
        <icon>/media/packages/2026/editTool_n5wyRc2.png</icon>
        <author_name><![CDATA[Regio OÜ]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/edittool/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[regio]]></uploaded_by>
        <create_date>2026-03-09T12:00:27.865637+00:00</create_date>
        <update_date>2026-04-01T06:16:02.290790+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/regio-geospatial/edittool/issues]]></tracker>
        <repository><![CDATA[https://github.com/regio-geospatial/edittool]]></repository>
        <tags><![CDATA[vector,selection,editing,maptool,digitizing]]></tags>
        <downloads>1669</downloads>
        <average_vote>4.9995833680526625</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Disaster Raster Classifier" version="1.0.3" plugin_id="4822">
        <description><![CDATA[Disaster risk classification (Flood, Flash Flood, Landslide) using Weighted Ensemble ML]]></description>
        <about><![CDATA[Plugin QGIS untuk klasifikasi risiko bencana berbasis raster menggunakan model Ensemble Learning (Random Forest, LightGBM, XGBoost) dengan metode Weighted Voting berdasarkan F1-Score. Input: 9 variabel raster (Slope, Elevasi, Land Use, NDVI, Curah Hujan, Jarak ke Pantai, Buffer Sungai, Kerapatan Kontur, Jarak Antar Kontur). Output: Peta risiko 3 kelas (Low / Medium / High Risk). --- A QGIS plugin for raster-based disaster risk classification using Weighted Ensemble Learning (Random Forest + LightGBM + XGBoost) with Weighted Voting based on F1-Score. Inputs: 9 raster variables (Slope, Elevation, Land Use, NDVI, Rainfall, Distance to Coast, River Buffer, Contour Density, Contour Spacing). Output: 3-class disaster risk map (Low / Medium / High Risk).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fandizanu/disaster-raster-classifier]]></homepage>
        <file_name>disaster_classifier.1.0.3.zip</file_name>
        <icon>/media/packages/2026/icon_Evzz57J.png</icon>
        <author_name><![CDATA[Zanu Alfandi Kamil]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/disaster_classifier/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[fandizanu2631]]></uploaded_by>
        <create_date>2026-03-09T15:37:15.473344+00:00</create_date>
        <update_date>2026-03-18T12:21:51.218185+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fandizanu/disaster-raster-classifier/issues]]></tracker>
        <repository><![CDATA[https://github.com/fandizanu/disaster-raster-classifier]]></repository>
        <tags><![CDATA[raster,flood,disaster,classification,random forest,machine learning,landslide,natural hazard,xgboost,lightgbm,yogyakarta,weighted voting,risk mapping,ensemble,flash flood]]></tags>
        <downloads>332</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Flux Mapper" version="4.0.0" plugin_id="4823">
        <description><![CDATA[Flux Mapper generates curved flow maps (Bézier curves) between localities using two input layers: a point layer (localities) and a table layer (flows). It automatically creates arrow-styled lines with thickness proportional to 
the flow score, assigns colors by relation type, and supports both unidirectional and bidirectional flows with automatic offset.


Génère des cartes de flux courbes (Bézier) avec flèches automatiques, épaisseur proportionnelle au score et gestion des flux bidirectionnels.]]></description>
        <about><![CDATA[Flux Mapper is a QGIS plugin for creating geographic flow maps
in the form of Bézier curves between locations.
It takes the following input:
- A layer of POINTS representing the locations
- A FLOW layer/table with the fields: origin, destination, relationship type, score, and optionally a direction (unidirectional/bidirectional)
It automatically generates:
- One or more layers of stylized curved lines
- Arrows whose thickness is proportional to the flow score
- Automatic color for each relationship type
- Handling of bidirectional flows with automatic offset



Flux Mapper est un plugin QGIS permettant de créer des cartes de flux géographiques
sous forme de courbes de Bézier entre des localités.

Il prend en entrée :
- Une couche de POINTS représentant les localités
- Une couche/table de FLUX avec les champs : origine, destination, type de relation, score, et optionnellement une direction (unidirectionnel / bidirectionnel)

Il génère automatiquement :
- Une ou plusieurs couches de lignes courbes stylisées
- Des flèches dont l&#x27;épaisseur est proportionnelle au score du flux
- Une couleur automatique par type de relation
- Une gestion des flux bidirectionnels avec décalage automatique]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ANGEKOTIN/Flux_mapper]]></homepage>
        <file_name>flux_mapper.4.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_Y9juuqh.png</icon>
        <author_name><![CDATA[KOTIN Ange H.P.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flux_mapper/version/4.0.0/download/</download_url>
        <uploaded_by><![CDATA[angekotin]]></uploaded_by>
        <create_date>2026-03-09T15:47:21.801859+00:00</create_date>
        <update_date>2026-03-10T11:23:30.630742+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ANGEKOTIN/Flux_mapper/issues]]></tracker>
        <repository><![CDATA[https://github.com/ANGEKOTIN/Flux_mapper]]></repository>
        <tags><![CDATA[transport,od matrix,bezier,flow map,flux,migration,carte de flux,courbe,réseau]]></tags>
        <downloads>316</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="hatagu_water2" version="0.3" plugin_id="4825">
        <description><![CDATA[Calculate pipeline rate in polygons]]></description>
        <about><![CDATA[Calculate target pipeline length ratios within polygons based on selected attribute values.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hatagu22/hatagu_water2]]></homepage>
        <file_name>hatagu_water2.0.3.zip</file_name>
        <icon>/media/packages/2026/icon_cXjimwe.png</icon>
        <author_name><![CDATA[Tomoki Hataguchi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hatagu_water2/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[hatagu22]]></uploaded_by>
        <create_date>2026-03-10T00:39:40.217925+00:00</create_date>
        <update_date>2026-03-13T02:47:18.242415+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hatagu22/hatagu_water2]]></tracker>
        <repository><![CDATA[https://github.com/hatagu22/hatagu_water2]]></repository>
        <tags><![CDATA[water,qgis,pipeline]]></tags>
        <downloads>66</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BIG Downloader" version="3.1.2" plugin_id="4826">
        <description><![CDATA[Tools untuk mengunduh data BIG (DEMNAS, RBI, BATNAS). Tools to download Indonesian Geospatial Agency data.]]></description>
        <about><![CDATA[Download tools for Indonesian Geospatial Data]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ahzastudio/bigtools-web]]></homepage>
        <file_name>big_downloader_toolbox.3.1.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Ahza Stdio]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/big_downloader_toolbox/version/3.1.2/download/</download_url>
        <uploaded_by><![CDATA[ahzastudio]]></uploaded_by>
        <create_date>2026-03-10T07:18:33.552028+00:00</create_date>
        <update_date>2026-03-11T03:31:28.645295+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ahzastudio/bigtools-web/issues]]></tracker>
        <repository><![CDATA[https://github.com/ahzastudio/bigtools-web]]></repository>
        <tags><![CDATA[download,indonesia,big]]></tags>
        <downloads>194</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LatLon" version="1.0" plugin_id="4828">
        <description><![CDATA[Shows Lat/Lon on canvas]]></description>
        <about><![CDATA[displays Lat/Lon in WGS84, regardless of project CRS. Clicking copies coordinates to system clipboard.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/millsapjohn/qgis_latlon]]></homepage>
        <file_name>LatLon.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[John Millsap]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LatLon/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[millsapjohn]]></uploaded_by>
        <create_date>2026-03-10T16:34:27.378362+00:00</create_date>
        <update_date>2026-03-10T16:34:29.276780+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/millsapjohn/qgis_latlon/issues]]></tracker>
        <repository><![CDATA[https://github.com/millsapjohn/qgis_latlon]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2796</downloads>
        <average_vote>4.294033450324504</average_vote>
        <rating_votes>51</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="json_ua" version="0.9.12" plugin_id="4829">
        <description><![CDATA[Process Ukrainian GeoJSON files]]></description>
        <about><![CDATA[A comprehensive tool for Ukrainian architects and builders.
Data attribution: normative styles based on open data created by https://juliesdata.com/members
---
Main features:
* Creation and processing of urban planning information exchange files.
* Generation of urban planning documentation.
---
Full documentation is available via the link to the main page.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.15</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://krechkivsky.github.io/json_ua_docs/]]></homepage>
        <file_name>json_ua.0.9.12.zip</file_name>
        <icon>/media/packages/2026/icon_sJ5lVf9.svg</icon>
        <author_name><![CDATA[krechkivsky.dev@gmail.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/json_ua/version/0.9.12/download/</download_url>
        <uploaded_by><![CDATA[krechkivsky]]></uploaded_by>
        <create_date>2026-03-10T17:26:28.104961+00:00</create_date>
        <update_date>2026-03-30T07:18:24.993514+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/krechkivsky/json_ua/issues]]></tracker>
        <repository><![CDATA[https://github.com/krechkivsky/json_ua]]></repository>
        <tags><![CDATA[geojson,json,urban planning,documentation,ukraine,file exchange]]></tags>
        <downloads>362</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Forestry Operations Lite" version="0.2.3" plugin_id="4830">
        <description><![CDATA[Terrain analysis for forestry sites: DEM/DSM loading, slope, TWI, stability index, and flow accumulation.]]></description>
        <about><![CDATA[Supports forestry site assessment through terrain analysis using DEM/DSM data. Computes slope, topographic wetness index (TWI), infinite-slope stability factor of safety, and rational-formula flow accumulation. Requires numpy, GDAL, and scipy (bundled with most QGIS installations). Support: https://paypal.me/rawslnc]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raw-slnc/forestry_operations_lite]]></homepage>
        <file_name>forestry_operations_lite.0.2.3.zip</file_name>
        <icon>/media/packages/2026/icon_QQ2gHJM.png</icon>
        <author_name><![CDATA[Hideharu Masai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/forestry_operations_lite/version/0.2.3/download/</download_url>
        <uploaded_by><![CDATA[rawslnc]]></uploaded_by>
        <create_date>2026-03-11T01:15:12.263774+00:00</create_date>
        <update_date>2026-04-11T14:53:25.324217+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raw-slnc/forestry_operations_lite/issues]]></tracker>
        <repository><![CDATA[https://github.com/raw-slnc/forestry_operations_lite]]></repository>
        <tags><![CDATA[python,dem,slope,terrain,forestry,twi,stability]]></tags>
        <downloads>715</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS MCP" version="0.2.1" plugin_id="4831">
        <description><![CDATA[Connect QGIS to Claude AI via the Model Context Protocol (MCP)]]></description>
        <about><![CDATA[Socket server plugin that exposes QGIS operations to LLMs through the
Model Context Protocol. Enables Claude to directly control QGIS: manage
layers, edit features, run processing algorithms, render maps, and more.

This plugin is only one half of the setup. You also need an MCP server
so that Claude (or another LLM) can talk to QGIS.
See https://github.com/nkarasiak/qgis-mcp for installation instructions.

Features:
- 51 MCP tools for layers, features, processing, rendering, layouts
- Diagnose tool for full stack health checks
- Plugin development tools: message log, plugin reload, layer tree
- Expression validation, project variables, settings access
- Non-blocking TCP socket server with length-prefixed framing
- Toolbar button with port configuration dropdown]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nkarasiak/qgis-mcp]]></homepage>
        <file_name>qgis_mcp_plugin.0.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_KdrrnF3.png</icon>
        <author_name><![CDATA[Nicolas Karasiak]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_mcp_plugin/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[lennepkade]]></uploaded_by>
        <create_date>2026-03-11T02:10:06.317549+00:00</create_date>
        <update_date>2026-03-16T22:36:23.702053+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nkarasiak/qgis-mcp/issues]]></tracker>
        <repository><![CDATA[https://github.com/nkarasiak/qgis-mcp]]></repository>
        <tags><![CDATA[remote,automation,ai,llm,claude,socket,mcp]]></tags>
        <downloads>4127</downloads>
        <average_vote>4.854065540301244</average_vote>
        <rating_votes>48</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Feature Attribute Window" version="1.0.1" plugin_id="4832">
        <description><![CDATA[A dockable attribute window that automatically displays and enables editing feature attributes based on the current map selection.]]></description>
        <about><![CDATA[Feature Attribute Window provides a persistent, dockable panel that automatically shows attributes of selected features. It groups features by layer in a tree view, lets you click any feature to open its attribute form, and offers right-click actions including zoom, pan, flash, deselect, and delete. It keeps feature information always visible and editable while you work on the map.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/regio-geospatial/attributewindow]]></homepage>
        <file_name>attributewindow.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_ztbyPAv.png</icon>
        <author_name><![CDATA[Regio OÜ]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/attributewindow/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[regio]]></uploaded_by>
        <create_date>2026-03-11T10:09:32.171245+00:00</create_date>
        <update_date>2026-04-01T05:18:13.357563+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/regio-geospatial/attributewindow/issues]]></tracker>
        <repository><![CDATA[https://github.com/regio-geospatial/attributewindow]]></repository>
        <tags><![CDATA[vector,selection,editing,attributes,dockwidget]]></tags>
        <downloads>573</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PTHA Based Tsunami Inundation Tool" version="0.3" plugin_id="4833">
        <description><![CDATA[A QGIS processing plugin that generates tsunami inundation hazard zones using Probabilistic Tsunami Hazard Assessment (PTHA) water levels and coastal digital elevation models.]]></description>
        <about><![CDATA[PTHA Based Tsunami Inundation Tool provides an automated workflow for mapping tsunami inundation zones using Probabilistic Tsunami Hazard Assessment (PTHA) derived water levels and high-resolution coastal elevation data. The tool integrates spatial analysis techniques including nearest-point association, water level computation at different exceedance rate, raster-based inundation detection, and polygon generation of hazard zones. It is intended to support tsunami hazard assessment, coastal risk analysis, and emergency planning.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gauravbkhairnar/PTHA_QGIS/]]></homepage>
        <file_name>ptha_based_tsunami_inundation_tool.0.3.zip</file_name>
        <icon>/media/packages/2026/icon_BSVs6Vx.png</icon>
        <author_name><![CDATA[Gaurav Khairnar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ptha_based_tsunami_inundation_tool/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[gauravk]]></uploaded_by>
        <create_date>2026-03-11T13:09:06.887706+00:00</create_date>
        <update_date>2026-03-18T14:56:38.902614+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gauravbkhairnar/PTHA_QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/gauravbkhairnar/PTHA_QGIS/]]></repository>
        <tags><![CDATA[dem,hazard,inundation,coastal,tsunami,flood modelling,ptha]]></tags>
        <downloads>218</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Iconic" version="1.1.1" plugin_id="4834">
        <description><![CDATA[Plugin with a dockable-panel for installing iconpackages, pick SVG-icons and place or style a layer of points.]]></description>
        <about><![CDATA[Iconic is a QGIS-plugin for SVG-based iconpackages. The plugin lets you install and update iconpackages from a packagelist, search and filter the icons in a dockable-panel, place new points in the map and style existing points with SVG-icons. Supports both QGIS 3 / Qt5 og QGIS 4 / Qt6.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geocell.no/qgis-plugins]]></homepage>
        <file_name>iconic.1.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_iconic_MXmGrRJ.svg</icon>
        <author_name><![CDATA[Tom-Erik Bakkely Aasheim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/iconic/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[tompreik1982]]></uploaded_by>
        <create_date>2026-03-11T15:06:45.588406+00:00</create_date>
        <update_date>2026-03-12T11:02:16.847567+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geocellnorway/iconic/issues]]></tracker>
        <repository><![CDATA[https://github.com/geocellnorway/iconic]]></repository>
        <tags><![CDATA[svg,point,dock,symbols,icons,qt6,packages]]></tags>
        <downloads>530</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Image Extractor" version="1.0" plugin_id="4835">
        <description><![CDATA[Clips and exports a basemap image and DEM raster to a vector AOI polygon extent, ready for 3D texture draping. Developed by Geocentric Environmental Inc. to streamline importing terrains in CSM 3D Vis(tm).]]></description>
        <about><![CDATA[Image Extractor automates the process of clipping a basemap (e.g. Google Satellite) and a DEM raster to a user-defined AOI polygon, producing georeferenced outputs ready for 3D texture draping workflows. Developed by Geocentric Environmental Inc. to streamline internal DEM and texture draping processes.

The tool renders the visible map canvas to a high-resolution image, applies a precise vector mask from the selected AOI layer, auto-crops to the opaque pixel boundary, and clips the DEM to the exact same geographic extent. Both outputs share identical spatial extents, eliminating skirt artifacts in 3D visualization software.

Outputs:
- Tile__0__0.png — masked and cropped basemap image (PNG)
- [Output Name].tif — DEM clipped to matching extent (GeoTIFF)

Inputs configured through a simple dialog:
- Basemap layer (raster)
- DEM layer (raster)
- Cropping Extent layer (vector polygon)
- Output folder and file name
- Output CRS — recommended WGS84 (EPSG:4326) for broadest compatibility
- Cropping layer CRS — CRS of the vector layer used for cropping
- Basemap CRS — CRS of the basemap imagery (Google Satellite is typically Web Mercator, EPSG:3857)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Brick095/QGIS-Draped-DEM-Exporter-by-Geocentric]]></homepage>
        <file_name>CSM_3D_Image_Extractor.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Geocentric, Gianluca Amicarelli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CSM_3D_Image_Extractor/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[geobrick]]></uploaded_by>
        <create_date>2026-03-11T22:50:20.771692+00:00</create_date>
        <update_date>2026-03-11T22:50:22.537728+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Brick095/QGIS-Draped-DEM-Exporter-by-Geocentric/issues]]></tracker>
        <repository><![CDATA[https://github.com/Brick095/QGIS-Draped-DEM-Exporter-by-Geocentric]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>546</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SamGIS" version="1.2.1" plugin_id="4838">
        <description><![CDATA[Local SAM2 instance segmentation for QGIS. Draw points and rectangles on a vector layer, run Segment Anything Model 2 inference on a raster layer, and get polygon results — all offline with ONNX Runtime. Supports multiple SAM2.1 model variants (Tiny to Large, fp32 and uint8). More features coming soon (live canvas preview, multi-band support, and more).]]></description>
        <about><![CDATA[SamGIS brings Meta&#x27;s Segment Anything Model 2 (SAM2) to QGIS as a local inference plugin. No cloud API needed — models run on-device via ONNX Runtime. Use foreground/background point prompts and bounding-box prompts drawn on vector layers to segment objects from any georeferenced raster. Results are added as polygon vector layers in EPSG:4326. Model weights are downloaded on first use from Hugging Face (aletrn/sam2-onnx-weights).

In case of problems before all please try using the last version and eventually open an issue on the repository tracked attaching the plugin logs.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/aletrn/samgis-qgis-plugin]]></homepage>
        <file_name>samgis.1.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_Q7gB8Fx.svg</icon>
        <author_name><![CDATA[trincadev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/samgis/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[trincadev]]></uploaded_by>
        <create_date>2026-03-12T14:14:43.458700+00:00</create_date>
        <update_date>2026-03-17T17:20:41.812927+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/aletrn/samgis-qgis-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/aletrn/samgis-qgis-plugin]]></repository>
        <tags><![CDATA[raster,machine learning,segment,segmentation,ai,onnx,sam,sam2,object detection,interactive]]></tags>
        <downloads>499</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CXF to Shape Vestito" version="2.0" plugin_id="4840">
        <description><![CDATA[Converte file CXF catastali italiani in Shapefile o GeoPackage con stili preimpostati]]></description>
        <about><![CDATA[Plugin per la conversione di file CXF (formato catastale italiano Agenzia delle Entrate)
in Shapefile ESRI o GeoPackage con stili QML preimpostati per la visualizzazione catastale.
Genera 12 layer: Fogli, Acque, Strade, Particelle, Fabbricati, Linee di Vestizione,
Simboli, Fiduciali e Testi, organizzati nel gruppo &quot;Catasto Vestito&quot; in QGIS.
Supporto CXF storici Cassini-Soldner con trasformazione automatica tramite tabella
delle origini comunali bundled (Italia_CS_PRJ_srtext.csv, ~8.000 Comuni italiani).
Per CXF moderni (Roma 40): rilevamento automatico EPSG:3003/3004 dalla prima coordinata X.
Plugin sviluppato con il supporto di Claude AI (Anthropic).

ENGLISH:
Plugin for converting Italian cadastral CXF files (Agenzia delle Entrate format)
to ESRI Shapefile or GeoPackage with preset QML styles for cadastral visualization.
Generates 12 layers: Sheets, Waters, Roads, Parcels, Buildings, Dressing Lines,
Symbols, Fiducials and Texts, organized in the &quot;Catasto Vestito&quot; group in QGIS.
Support for historical Cassini-Soldner CXF with automatic transformation via bundled
municipal origins table (Italia_CS_PRJ_srtext.csv, ~8,000 Italian Municipalities).
Modern CXF (Roma 40): automatic EPSG:3003/3004 detection from first X coordinate.
Plugin developed with Claude AI (Anthropic) support.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pigreco/cxf2shp_vestito]]></homepage>
        <file_name>cxf2shp_vestito.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_9ghp6re.png</icon>
        <author_name><![CDATA[Salvatore Fiandaca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cxf2shp_vestito/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[toto71]]></uploaded_by>
        <create_date>2026-03-12T17:56:03.161204+00:00</create_date>
        <update_date>2026-04-12T14:35:49.105231+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pigreco/cxf2shp_vestito/issues]]></tracker>
        <repository><![CDATA[https://github.com/pigreco/cxf2shp_vestito]]></repository>
        <tags><![CDATA[shapefile,cxf,catasto,geopackage,italia,catastale,conversione]]></tags>
        <downloads>917</downloads>
        <average_vote>4.856449078703042</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Viewshed Analyzer" version="1.2.6" plugin_id="4841">
        <description><![CDATA[Advanced batch viewshed and point-based visibility analysis tool with cumulative mapping and curvature correction.]]></description>
        <about><![CDATA[Advanced batch viewshed analysis tool designed for engineering and transmission line workflows. Includes cumulative mapping, earth curvature correction, and batch processing capabilities.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ineffablexd/viewshed_analyser]]></homepage>
        <file_name>viewshed_analyser.1.2.6.zip</file_name>
        <icon>/media/packages/2026/icon_taURtCi.svg</icon>
        <author_name><![CDATA[Vicky Sharma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/viewshed_analyser/version/1.2.6/download/</download_url>
        <uploaded_by><![CDATA[ineffable]]></uploaded_by>
        <create_date>2026-03-12T18:05:42.731440+00:00</create_date>
        <update_date>2026-03-13T17:24:59.765062+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ineffablexd/viewshed_analyser/issues]]></tracker>
        <repository><![CDATA[https://github.com/ineffablexd/viewshed_analyser]]></repository>
        <tags><![CDATA[analysis,visibility,terrain,viewshed,cumulative,engineering,transmission]]></tags>
        <downloads>508</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DEM Resample Interpolator" version="1.0" plugin_id="4842">
        <description><![CDATA[Professional DEM resampling tool for high-resolution terrain analysis using Bilinear, Bicubic, and Lanczos interpolation methods.]]></description>
        <about><![CDATA[DEM Resample Interpolator is a plugin for upsampling or downsampling Digital Elevation Model (DEM) rasters to any target resolution (e.g., 0.5m to 0.2m). It supports three high-quality interpolation algorithms: Bilinear (smooth gradients, ideal for general terrain), Bicubic (sharper, higher-order, suited for DEM upsampling), and Lanczos (sinc-based, best quality for significant resolution increases). The plugin includes a built-in method description panel so users understand how each algorithm works and when to use it, a live progress bar, and error handling. Developed for GIS professionals in power transmission, infrastructure, and terrain analysis workflows.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ineffablexd/Dem_resampler_interpolator]]></homepage>
        <file_name>dem_resample_plugin.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_tfQsyz3.png</icon>
        <author_name><![CDATA[Vicky Sharma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dem_resample_plugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[ineffable]]></uploaded_by>
        <create_date>2026-03-12T19:38:39.649394+00:00</create_date>
        <update_date>2026-03-13T16:51:36.276406+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ineffablexd/Dem_resampler_interpolator/issues]]></tracker>
        <repository><![CDATA[https://github.com/ineffablexd/Dem_resampler_interpolator]]></repository>
        <tags><![CDATA[raster,dem,terrain,elevation,bicubic,interpolation,resample,lanczos,bilinear]]></tags>
        <downloads>674</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VAST Visual-Ambient Street Stress Tool" version="1.0.0" plugin_id="4843">
        <description><![CDATA[VAST (Visual-Ambient Street Stress Tool) is a QGIS plugin designed to quantify street-level environmental stress caused by excessive outdoor advertising, limited urban greenery, urban enclosure effects, and surface heat conditions.

The plugin integrates multiple spatial indicators including advertising density, building enclosure ratio, canopy coverage, and land surface temperature to produce a composite Street Environment Stress Index (SESI).

VAST supports evidence-based urban design and planning interventions by identifying corridors with high visual and thermal stress and recommending targeted mitigation strategies such as tree planting, advertising regulation, façade management, and cool pavement implementation.

The tool is designed for applications in:
1. Urban visual pollution assessment
2. Outdoor advertising regulation and control
3. Street corridor environmental quality evaluation
4. Urban heat and shading diagnostics
5. Sustainable streetscape and public space planning]]></description>
        <about><![CDATA[VAST provides an integrated spatial analysis framework to evaluate environmental stress along urban streets using geospatial indicators and composite index modelling.

The plugin combines concepts from urban morphology, environmental design, spatial analytics, and urban climate research to measure how advertising clutter, street canyon morphology, vegetation deficit, and thermal conditions influence street-level environmental quality.

The analysis workflow includes road segmentation, corridor buffering, spatial indicator extraction, normalization of variables, and weighted aggregation to construct the Street Environment Stress Index (SESI).

Weighting schemes can be defined using expert-defined parameters or derived statistically using Principal Component Analysis (PCA). Results are produced at both segment and corridor levels, enabling planners to identify spatial hotspots of visual and thermal stress.

The plugin generates multiple analytical outputs including stress index maps, corridor summaries, hotspot diagnostics, policy recommendation indicators, and visual analytics charts.

VAST is intended for research, urban policy analysis, and spatial decision-support systems related to urban environmental quality, streetscape management, and advertising regulation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/VAST]]></homepage>
        <file_name>vast_stress_tool.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_L7AMzmV.png</icon>
        <author_name><![CDATA[Firman Afrianto, Maya Safira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vast_stress_tool/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2026-03-13T06:24:26.770705+00:00</create_date>
        <update_date>2026-03-13T06:24:28.613450+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/VAST/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/VAST]]></repository>
        <tags><![CDATA[spatial indicators,urban planning,urban analytics,street design,urban heat island,advertising regulation,environmental stress,streetscape analysis,visual pollution]]></tags>
        <downloads>148</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Auto Layout Generator" version="2.0" plugin_id="4844">
        <description><![CDATA[Professional cartographic layout automation tool with dynamic grids, synchronized scale bars, and automated styling.]]></description>
        <about><![CDATA[Auto Layout Generator is a high-performance QGIS plugin designed for automating professional map layouts. It handles complex coordinate transformations to ensure valid rendering of map extents, grids (WGS84), and scale bars. Key features include adaptive scale units (switches between meters and km), dynamic &quot;North&quot; labels, automated legend synchronization, and a sleek progress-tracking UI. Developed to streamline cartographic workflows for GIS professionals, ensuring stable and aesthetically pleasing map outputs every time.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ineffablexd/auto_layout_generator]]></homepage>
        <file_name>auto_layout_generator.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_BY9pZJB.png</icon>
        <author_name><![CDATA[Vicky Sharma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/auto_layout_generator/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[ineffable]]></uploaded_by>
        <create_date>2026-03-13T08:55:32.879426+00:00</create_date>
        <update_date>2026-03-13T08:55:34.639895+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ineffablexd/auto_layout_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/ineffablexd/auto_layout_generator]]></repository>
        <tags><![CDATA[map,legend,grid,qgis,cartography,printing,layout,automation,professional]]></tags>
        <downloads>744</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Traffic Data to ENVI-met" version="1.0" plugin_id="4845">
        <description><![CDATA[Generates ENVI-met Emission Sources for Model Area and Database based on Traffic Trajectories]]></description>
        <about><![CDATA[A spatial tool that converts raw traffic trajectory data and OSM street networks into ENVI-met JSON line emitters. It performs spatial intersections, smart geometry segmentation, and automatic emission calculations (NOx, PM10) to generate an ENVI-met ready projectdatabase.edb alongside a spatial GeoPackage map layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tim-sinsel-jgu-mz/Traffic2ENVI-met]]></homepage>
        <file_name>Traffic2ENVImet.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_f1LoBGV.png</icon>
        <author_name><![CDATA[Tim Sinsel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Traffic2ENVImet/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[timsinsel]]></uploaded_by>
        <create_date>2026-03-13T09:13:15.274906+00:00</create_date>
        <update_date>2026-03-13T09:13:17.124733+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tim-sinsel-jgu-mz/Traffic2ENVI-met/issues]]></tracker>
        <repository><![CDATA[https://github.com/tim-sinsel-jgu-mz/Traffic2ENVI-met]]></repository>
        <tags><![CDATA[traffic,modelling,urban climate,trajectories,microclimate,envi-met,nitrogen oxide,particulate matter,nitrogen dioxide,air pollution,pollutants,emissions]]></tags>
        <downloads>170</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MiniULDK" version="1.0.1" plugin_id="4846">
        <description><![CDATA[Wtyczka umożliwia pobieranie pojedynczych geometrii działek ewidencyjnych z poziomu paska narzędziowego. (EN: The plugin allows users to download individual cadastral parcel geometries directly from the toolbar)]]></description>
        <about><![CDATA[PL: MiniULDK umożliwia wczytywanie geometrii działek ewidencyjnych za pomocą pojedynczego kliknięcia w oknie mapy. Wczytana warstwa zawiera informację o geometrycznej powierzchni pobranego obiektu. Wtyczka pozwala również na automatyczny zapis danych w formacie SHP lub GPKG. Dane pobierane są z wykorzystaniem usługi ULDK.

EN: MiniULDK allows users to load cadastral parcel geometries with a single click in the map window. The loaded layer contains information about the geometric area of the retrieved object. The plugin also supports automatic saving of data in SHP or GPKG format. The data is retrieved using the ULDK service.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/michal-k-sikora/qgis-miniULDK]]></homepage>
        <file_name>miniuldk.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_TL2xVxU.svg</icon>
        <author_name><![CDATA[Michał Sikora, Radosław Seweryn]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/miniuldk/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[michalsikora]]></uploaded_by>
        <create_date>2026-03-13T10:46:42.935411+00:00</create_date>
        <update_date>2026-03-18T09:22:55.712543+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/michal-k-sikora/qgis-miniULDK/issues]]></tracker>
        <repository><![CDATA[https://github.com/michal-k-sikora/qgis-miniULDK]]></repository>
        <tags><![CDATA[cadastral,dzialki,ewidencja,uldk,parcel,egib,smallgis,ongeo]]></tags>
        <downloads>257</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoLote" version="1.0.0" plugin_id="4848">
        <description><![CDATA[[EN] Analyzes the overlap of a property with multiple vector layers, generating a report and intersection geometries.

[PT-BR] Analisa a sobreposição de um imóvel com múltiplas camadas vetoriais, gerando relatório e geometrias de interseção.]]></description>
        <about><![CDATA[[EN] Plugin for analyzing the overlap of a property with multiple vector layers.
It uses spatial filtering to speed up processing and generates:
- A tabular report with the area and percentage of overlap for each layer
-A vector layer containing the intersection geometries.

[PT-BR] Plugin para análise de sobreposição de imóvel com múltiplas camadas.
Utiliza filtro espacial para acelerar o processamento e gera:
- Relatório tabular com área e percentual de sobreposição por camada
- Camada vetorial com as geometrias de interseção]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/henriquelima333/GeoLote-INCRA]]></homepage>
        <file_name>analise_sobreposicao_imovel.1.0.0.zip</file_name>
        <icon>/media/packages/2026/geolote_icon.png</icon>
        <author_name><![CDATA[Henrique Lima de Sousa, Analista de Reforma e Desenvolvimento Agrário, INCRA-MA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/analise_sobreposicao_imovel/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[henriquelima333]]></uploaded_by>
        <create_date>2026-03-13T17:25:31.908607+00:00</create_date>
        <update_date>2026-03-13T17:25:33.680132+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/henriquelima333/GeoLote-INCRA/issues]]></tracker>
        <repository><![CDATA[https://github.com/henriquelima333/GeoLote-INCRA]]></repository>
        <tags><![CDATA[intersection,property,geoprocessing,spatial analysis,overlap,parcel,análise,polígono,interseção,sobreposição,imóvel]]></tags>
        <downloads>240</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FeatureNavEd" version="1.0.2" plugin_id="4849">
        <description><![CDATA[Navigate and edit vector layer features one by one with attribute display, sorting, and auto-zoom. Dockable panel with previous/next navigation.]]></description>
        <about><![CDATA[FeatureNavEd is a dockable panel that lets you navigate and edit features of a vector layer one by one, similar to the Identify tool but with full navigation and editing control.
&lt;br&gt;&lt;br&gt;
&lt;b&gt;Layer Selection&lt;/b&gt; — Select a vector layer from the dropdown or drag-and-drop directly from the Layers panel. Supports all vector layer types (point, line, polygon).
&lt;b&gt;Feature Navigation&lt;/b&gt; — Step through features with First, Previous, Next, and Last buttons. Sort features by any field in ascending or descending order. Each feature is automatically selected, zoomed to, and flashed on the map canvas.
&lt;b&gt;Attribute Form&lt;/b&gt; — Displays the native QGIS attribute form for each feature, matching the exact look of the built-in feature form. Supports inline editing when the layer is in edit mode.
&lt;b&gt;Auto-zoom&lt;/b&gt; — Configurable map scale control lets you adjust the zoom level when navigating between features.
&lt;b&gt;Identify Feature Attribute&lt;/b&gt; — Click a feature directly on the map canvas to jump to it in the panel, just like the Identify tool but can directly edit them when in Editing mode.
&lt;br&gt;&lt;br&gt;
&lt;b&gt;Top Toolbar&lt;/b&gt; — Quick-access icons for Pick from Map, Filter, Find, and Open Attribute Table.
&lt;b&gt;Find&lt;/b&gt; — Search for features by field value with autocomplete dropdown, without filtering the navigation list.
&lt;b&gt;Filter&lt;/b&gt; — Collapsible filter bar with expression-based filtering and selected-features-only mode.
&lt;b&gt;Sort Value Display&lt;/b&gt; — The Sort By group title shows the current feature&#x27;s sort field value for quick reference.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/irenejaya/feature-navigator-editor]]></homepage>
        <file_name>featurenaved.1.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_Qwo7O9W.svg</icon>
        <author_name><![CDATA[Irene Jaya]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/featurenaved/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[irenejaya]]></uploaded_by>
        <create_date>2026-03-14T11:22:28.884674+00:00</create_date>
        <update_date>2026-03-20T11:44:46.253648+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/irenejaya/feature-navigator-editor/issues]]></tracker>
        <repository><![CDATA[https://github.com/irenejaya/feature-navigator-editor]]></repository>
        <tags><![CDATA[viewer,attribute,features,editor,navigation,navigate,form,dockable,identify,inspector,browse,pick]]></tags>
        <downloads>307</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cadmus" version="2.3.0" plugin_id="4851">
        <description><![CDATA[Advanced automation and geospatial productivity tools for QGIS projects.]]></description>
        <about><![CDATA[Cadmus is a productivity plugin for QGIS focused on cartographic automation and geospatial workflows. It provides tools for batch layout export (PDF/PNG), mass text replacement in layouts, automatic loading of datasets from folders, vector attribute utilities, raster sampling, statistical analysis and interactive coordinate tools. The plugin also exposes algorithms in the Processing Toolbox to support automated workflows and batch processing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MartinelliNTZ/Cadmus]]></homepage>
        <file_name>Cadmus.2.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_FxPURvN.png</icon>
        <author_name><![CDATA[Matheus A.S. Martinelli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Cadmus/version/2.3.0/download/</download_url>
        <uploaded_by><![CDATA[martinellintz]]></uploaded_by>
        <create_date>2026-03-14T14:30:29.548289+00:00</create_date>
        <update_date>2026-03-25T23:13:43.663783+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MartinelliNTZ/Cadmus/issues]]></tracker>
        <repository><![CDATA[https://github.com/MartinelliNTZ/Cadmus]]></repository>
        <tags><![CDATA[vector,raster,statistics,processing,drone,automation,layouts]]></tags>
        <downloads>353</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Profiler" version="0.1.0" plugin_id="4854">
        <description><![CDATA[Tool and library to make profiling QGIS and plugins easy]]></description>
        <about><![CDATA[This plugin extends the Debugging/Development Tools dock widget profiling panel in various ways. Check &lt;a href=&quot;https://github.com/Joonalai/profiler-qgis-plugin/blob/main/README.md&quot;&gt;README&lt;/a&gt; for instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://profiler-qgis-plugin.readthedocs.io]]></homepage>
        <file_name>profiler_plugin.0.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_48bFYV2.svg</icon>
        <author_name><![CDATA[Joonalai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/profiler_plugin/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[joonala]]></uploaded_by>
        <create_date>2026-03-14T22:23:28.611377+00:00</create_date>
        <update_date>2026-04-06T22:09:42.164111+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Joonalai/profiler-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Joonalai/profiler-qgis-plugin]]></repository>
        <tags><![CDATA[development,performance,profiler,profiling]]></tags>
        <downloads>222</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Generalize Polygons" version="0.6.2" plugin_id="4855">
        <description><![CDATA[Topology-preserving polygon simplification using the weighted Visvalingam algorithm — no slivers, no gaps.]]></description>
        <about><![CDATA[Reduces the vertex count of polygon layers while preserving shape and topology.

Shared borders between adjacent polygons are simplified exactly once, so both
neighbours always receive the same simplified edge. This guarantees that no
slivers, gaps, or overlaps are introduced — a property not provided by most
standard simplification tools.

The algorithm is based on the weighted Visvalingam-Whyatt method as used in
MapShaper (mbloch/mapshaper). Triangle areas are weighted by the angle at the
centre vertex, so nearly-collinear points are removed first while
geometrically significant vertices are protected.

You can find the button in QGIS in the menu Vector &gt; Generalize Polygons...
or use the tools panel.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/peppo/generalize]]></homepage>
        <file_name>generalize.0.6.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Peppo Herney]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/generalize/version/0.6.2/download/</download_url>
        <uploaded_by><![CDATA[peppo]]></uploaded_by>
        <create_date>2026-03-15T14:00:14.552341+00:00</create_date>
        <update_date>2026-04-04T20:16:04.655719+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/peppo/generalize/issues]]></tracker>
        <repository><![CDATA[https://github.com/peppo/generalize]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>557</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Traffica UE Analytics" version="1.0.0" plugin_id="4856">
        <description><![CDATA[Traffica UE Analytics is a QGIS plugin designed to perform indicative traffic flow analysis using spatial network modeling and synthetic origin-destination generation.

The plugin converts road network geometry, population distribution, and point-of-interest (POI) data into a synthetic mobility demand model
and assigns the resulting flows onto the road network using transport assignment algorithms.

The analytical framework integrates gravity-based trip generation, grid-based zoning, and network-based route assignment
to estimate traffic flow patterns where traditional OD survey data is unavailable.

The plugin supports both deterministic All-or-Nothing (AoN) assignment and probabilistic multi-path assignment using a Path-Size Logit (PSL) formulation,
enabling the exploration of route choice variability within urban transport systems.

Optional User Equilibrium (UE) iterations using the Bureau of Public Roads (BPR) congestion function and Method of Successive Averages (MSA)
allow approximate congestion feedback within the synthetic traffic model.

The plugin includes the following main analytical components:
1. Network Preparation – splits road networks at intersections and filters non-vehicular links to build a clean transport graph.
2. Grid-Based Zoning Generator – creates spatial zones within a study boundary to serve as origin and destination units.
3. Synthetic OD Generator – estimates trip flows using a gravity model based on population mass and POI attraction.
4. Traffic Assignment Engine – assigns OD flows to the network using AoN or probabilistic multi-path route choice models.
5. Congestion Simulation – applies BPR travel time functions with optional User Equilibrium iterations.
6. Mobility Output Generator – produces edge flow layers, OD desire lines, and zone-level mobility indicators.]]></description>
        <about><![CDATA[Traffica UE Analytics provides an integrated spatial analytics framework for exploring urban mobility patterns
using open spatial datasets and network modeling techniques.

The plugin is designed to support transport planners, urban researchers, and spatial analysts
in conducting preliminary traffic flow assessments when detailed mobility survey data is unavailable.

By combining spatial zoning, gravity-based demand modeling, and network assignment algorithms,
the framework enables rapid evaluation of potential traffic corridors, congestion hotspots,
and accessibility relationships within urban regions.

The resulting outputs can support corridor screening, scenario comparison,
infrastructure planning analysis, and urban mobility research within a GIS environment.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/Traffica-UE-Analytics]]></homepage>
        <file_name>traffica_ue_analytics.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_UySu4SF.png</icon>
        <author_name><![CDATA[Maya Safira, Firman Afrianto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/traffica_ue_analytics/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2026-03-15T16:10:58.235485+00:00</create_date>
        <update_date>2026-03-15T16:11:00.008774+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/Traffica-UE-Analytics/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/Traffica-UE-Analytics]]></repository>
        <tags><![CDATA[network analysis,urban planning,traffic assignment,gravity model,urban mobility,transport planning,spatial analytics,transport analysis,user equilibrium,origin destination]]></tags>
        <downloads>176</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WindRose" version="1.3.8" plugin_id="4857">
        <description><![CDATA[Generate Wind Rose (Supports Map Pick &amp; Manual Input)]]></description>
        <about><![CDATA[This QGIS plugin generates wind rose diagrams from historical wind direction data (ERA5 reanalysis). It creates layers for sectors, outline, coordinate axes, and a north arrow, with optional SVG export.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jokulsarlon/windrose]]></homepage>
        <file_name>windrose.1.3.8.zip</file_name>
        <icon>/media/packages/2026/icon_Ysz73AX.png</icon>
        <author_name><![CDATA[hexiaosang, OpenQGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/windrose/version/1.3.8/download/</download_url>
        <uploaded_by><![CDATA[hexiaosang]]></uploaded_by>
        <create_date>2026-03-16T05:24:50.048814+00:00</create_date>
        <update_date>2026-03-24T01:35:15.686603+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jokulsarlon/windrose/issues]]></tracker>
        <repository><![CDATA[https://github.com/jokulsarlon/windrose]]></repository>
        <tags><![CDATA[rose diagram,wind direction,meteorology,windrose,风向,玫瑰图,气象]]></tags>
        <downloads>581</downloads>
        <average_vote>4.545041359876375</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Info Extractor Pro" version="2.0.4" plugin_id="4858">
        <description><![CDATA[Universal Query Tool for WMS/WFS | Universal-Abfragetool für WMS und WFS Layer mit Exportfunktion.]]></description>
        <about><![CDATA[This plugin enables simultaneous querying of attribute data from all visible WMS and WFS layers via a point click.
Features:
- Automatic identification of raster (WMS) and vector (WFS) data.
- Extraction of point coordinates and CRS information.
- Theme support (optimized for Dark and Light modes).
- Copy coordinates to clipboard.
- Export results as a structured text file.

Developed with AI assistance (Google Gemini) for code optimization and logic structure.

---

Dieses Plugin ermöglicht die gleichzeitige Abfrage von Sachdaten aus allen sichtbaren WMS- und WFS-Layern per Punktklick.
Features:
- Automatische Identifizierung von Raster- (WMS) und Vektordaten (WFS).
- Extraktion von Punktkoordinaten und KBS-Informationen.
- Theme-Unterstützung (optimiert für Dark- und Light-Mode).
- Kopieren der Koordinaten in die Zwischenablage.
- Export der Ergebnisse als strukturierte Textdatei.

Erstellt mit Unterstützung von KI (Google Gemini) zur Code-Optimierung und Logik-Strukturierung.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TheIngOL/Info-Extractor-Pro]]></homepage>
        <file_name>info_extractor_pro.2.0.4.zip</file_name>
        <icon>/media/packages/2026/icon_3OTB5Sq.png</icon>
        <author_name><![CDATA[Tobias Herden]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/info_extractor_pro/version/2.0.4/download/</download_url>
        <uploaded_by><![CDATA[2beus]]></uploaded_by>
        <create_date>2026-03-16T08:52:06.739850+00:00</create_date>
        <update_date>2026-03-24T07:52:21.010620+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TheIngOL/Info-Extractor-Pro/issues]]></tracker>
        <repository><![CDATA[https://github.com/TheIngOL/Info-Extractor-Pro]]></repository>
        <tags><![CDATA[vector,python,raster,export,wfs,wms,coordinates,data]]></tags>
        <downloads>230</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Groundsource Indonesia Flood Profiler" version="1.0.0" plugin_id="4859">
        <description><![CDATA[Groundsource Indonesia Flood Profiler is a QGIS plugin designed to analyze and profile historical flood events across Indonesia using the Groundsource global flood dataset.

The plugin extracts and analyzes flood events reported in the Groundsource dataset within user-defined administrative or study boundaries. It generates spatial and temporal flood intelligence profiles that summarize historical flood occurrence patterns for cities, districts, watersheds, or planning regions.

The Groundsource dataset compiles flood events extracted from global news reports and structured into a geospatial dataset, enabling retrospective analysis of flood occurrence patterns.

This tool allows planners, disaster risk analysts, and researchers to transform raw Groundsource event data into actionable spatial intelligence through automated profiling workflows.

The plugin is designed for applications including:
1. Historical flood event profiling within planning boundaries
2. Flood hotspot identification and spatial clustering
3. Temporal flood trend analysis and event seasonality
4. Flood exposure assessment for urban and regional planning
5. Disaster risk intelligence and decision-support mapping]]></description>
        <about><![CDATA[Groundsource Indonesia Flood Profiler provides a geospatial analytical framework to convert the Groundsource flood event dataset into interpretable flood intelligence indicators.

The tool automatically downloads and caches the Groundsource dataset and performs spatial intersection with user-defined boundaries to identify flood events relevant to a specific study area.

Analytical outputs include flood event density mapping, temporal trend analysis, hotspot identification, and computation of the Historical Flood Intelligence Index (HFII). The workflow also produces multiple visual analytics including temporal charts, hotspot maps, and spatial summaries.

The plugin is designed to support disaster risk analysis, spatial planning, climate adaptation studies, and flood risk communication for Indonesian regions.

Dataset Citation:
Mayo, R., Zlydenko, O., Bootbool, M., Fronman, S., Gilon, O., Hassidim, A., Kratzert, F., Loike, G., Matias, Y., Nakar, Y., Nearing, G., Sayag, R., Sicherman, A., Zemach, I., &amp; Cohen, D. (2026). Groundsource: A Dataset of Flood Events from News [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18647054]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/firmanaf/Groundsource-Flood-Profiler]]></homepage>
        <file_name>groundsource_flood_profiler.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_tlz2hZb.png</icon>
        <author_name><![CDATA[Firman Afrianto, Maya Safira, Saut Sagala]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/groundsource_flood_profiler/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[firmanafrianto]]></uploaded_by>
        <create_date>2026-03-16T09:11:24.456386+00:00</create_date>
        <update_date>2026-03-16T09:11:26.278577+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/firmanaf/Groundsource-Flood-Profiler/issues]]></tracker>
        <repository><![CDATA[https://github.com/firmanaf/Groundsource-Flood-Profiler]]></repository>
        <tags><![CDATA[spatial analysis,urban planning,climate risk,flood intelligence,flood history,flood analysis,groundsource dataset,disaster risk,flood hotspot]]></tags>
        <downloads>320</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Generate KMZ Mission (DJI FlightHub 2)" version="1.0.1" plugin_id="4860">
        <description><![CDATA[Creates a DJI waypoint mission: reads a QGIS point layer and generates a .kmz file ready for upload to DJI FlightHub 2.]]></description>
        <about><![CDATA[Creates a DJI waypoint mission from a QGIS point layer. Select which
layer attributes map to waypoint index, HAE, ASL, Aircraft Yaw, and
Gimbal Tilt, then export a .kmz file ready for upload to DJI FlightHub 2.
No external template files required – everything is embedded in the plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kuncda/generate-kmz-mission]]></homepage>
        <file_name>generate_kmz_mission.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_pL4scWz.png</icon>
        <author_name><![CDATA[kuncda]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/generate_kmz_mission/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[kuncda]]></uploaded_by>
        <create_date>2026-03-16T14:30:46.939711+00:00</create_date>
        <update_date>2026-03-16T16:52:47.105486+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kuncda/generate-kmz-mission/issues]]></tracker>
        <repository><![CDATA[https://github.com/kuncda/generate-kmz-mission]]></repository>
        <tags><![CDATA[kmz,uav,drone,inspection,dji,waypoint,mission]]></tags>
        <downloads>494</downloads>
        <average_vote>4.28510212826739</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ATLAS Index Pro" version="3.0.1" plugin_id="4862">
        <description><![CDATA[Atlas sheet grid, geographic index and full PDF export (FR/EN/ES/PT/DE).]]></description>
        <about><![CDATA[FR: Plugin QGIS pour créer automatiquement une grille de feuillets (A4/A3, portrait/paysage,
multi-échelles) à partir d&#x27;une couche vecteur, avec index géographique des objets,
plan d&#x27;ensemble, export PDF complet (page de garde, index, plan, feuillets, liens hypertexte).
Interface multilingue FR / EN / ES / PT / DE.
EN: QGIS plugin to automatically create a sheet grid (A4/A3, portrait/landscape,
multi-scale) from any vector layer, with geographic object index,
overview map, full PDF export (cover page, index, overview, sheets, hyperlinks).
Multilingual interface FR / EN / ES / PT / DE.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Cartoyoyo/ATLAS_Index_Pro]]></homepage>
        <file_name>ATLAS_Index_Pro.3.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_uTmIfgr.png</icon>
        <author_name><![CDATA[Yoan Laloux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ATLAS_Index_Pro/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[yooan]]></uploaded_by>
        <create_date>2026-03-16T20:39:15.567933+00:00</create_date>
        <update_date>2026-03-21T20:22:18.683839+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Cartoyoyo/ATLAS_Index_Pro/issues]]></tracker>
        <repository><![CDATA[https://github.com/Cartoyoyo/ATLAS_Index_Pro]]></repository>
        <tags><![CDATA[atlas,print,pdf,grid,index,layout,mise en page,overview,grille,sheets,feuillets,impression]]></tags>
        <downloads>516</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TiltMaster - RF Vertical Analysis" version="1.1.0" plugin_id="4863">
        <description><![CDATA[Advanced RF Vertical Analysis and Tilt Optimization for Telecom Planning]]></description>
        <about><![CDATA[TiltMaster is a QGIS plugin designed for RF engineers and telecom planners. It performs vertical beam analysis, terrain intersection detection, coverage footprint calculation, and tilt optimization. Features include dual unit support (Metric/Imperial), embedded map canvas with OSM basemap, KMZ export for Google Earth, and comprehensive tilt optimization with 3 modes (Precise, Smart, Fast). Requires pyqtgraph for terrain visualization.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/erlrich/tiltmaster-qgis]]></homepage>
        <file_name>TiltMaster.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_LejCVAS.png</icon>
        <author_name><![CDATA[Achmad Amrulloh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TiltMaster/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[achmadamrulloh]]></uploaded_by>
        <create_date>2026-03-17T08:42:21.888429+00:00</create_date>
        <update_date>2026-04-05T13:05:23.186988+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/erlrich/tiltmaster-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/erlrich/tiltmaster-qgis]]></repository>
        <tags><![CDATA[intersection,terrain,beam,planning,optimization,coverage,telecom,lte,5g,rf planning,tilt,vertical analysis,antenna]]></tags>
        <downloads>736</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Halo" version="2.13" plugin_id="4864">
        <description><![CDATA[Pager for QGIS operators]]></description>
        <about><![CDATA[Toolkit for communication within QGIS operator teams]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/maciag-mm/HALO]]></homepage>
        <file_name>Halo.2.13.zip</file_name>
        <icon>/media/packages/2026/icon_jFoRqn8.png</icon>
        <author_name><![CDATA[Michał Maciąg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Halo/version/2.13/download/</download_url>
        <uploaded_by><![CDATA[maciagmm]]></uploaded_by>
        <create_date>2026-03-17T13:34:52.922808+00:00</create_date>
        <update_date>2026-03-25T05:13:04.839820+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/maciag-mm/HALO/issues]]></tracker>
        <repository><![CDATA[https://github.com/maciag-mm/HALO]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>70</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PointScreenShoter" version="1.0.14" plugin_id="4866">
        <description><![CDATA[Exports georeferenced map screenshots centered on point features at a chosen scale.]]></description>
        <about><![CDATA[Select a point layer, choose an attribute field for file naming, set scale and output folder, then export one georeferenced screenshot per point using the currently visible map layers and symbology from QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Rris0/qgis-plugin-PointScreenShoter]]></homepage>
        <file_name>PointScreenShoter_v1_0_9.1.0.14.zip</file_name>
        <icon>/media/packages/2026/icon_hQxz6gi.png</icon>
        <author_name><![CDATA[Richard Reichel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PointScreenShoter_v1_0_9/version/1.0.14/download/</download_url>
        <uploaded_by><![CDATA[rris0]]></uploaded_by>
        <create_date>2026-03-17T20:16:03.652686+00:00</create_date>
        <update_date>2026-03-19T21:55:23.915463+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rris0]]></tracker>
        <repository><![CDATA[https://github.com/Rris0/qgis-plugin-PointScreenShoter]]></repository>
        <tags><![CDATA[map,export,points,georeference,screenshot,world file]]></tags>
        <downloads>234</downloads>
        <average_vote>0.9990009990009991</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SimpliTiles" version="1.0.0" plugin_id="4868">
        <description><![CDATA[Fast, parallel XYZ tile generator that bypasses the QGIS rendering pipeline for reliable tile creation from orthomosaics.]]></description>
        <about><![CDATA[Replaces the built-in &quot;Generate XYZ Tiles (Directory)&quot; with a direct GDAL-based pipeline. Supports large orthomosaic GeoTIFFs and JPEGs from Pix4D and similar tools. Automatically selects the optimal parallel strategy based on source format: per-thread GDAL handles for tiled GeoTIFF, or single reader + parallel PNG writes for striped/JPEG. Uses gdal.Warp for correct UTM-to-Web-Mercator tile reprojection. Generates a Leaflet HTML preview for quick QA.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Bdabest7/SimpliTiles]]></homepage>
        <file_name>SimpliTiles.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_6msqKoG.png</icon>
        <author_name><![CDATA[Brenton Roesner]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SimpliTiles/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[simplifly]]></uploaded_by>
        <create_date>2026-03-17T21:39:50.004427+00:00</create_date>
        <update_date>2026-03-17T21:39:51.876079+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Bdabest7/SimpliTiles/issues]]></tracker>
        <repository><![CDATA[https://github.com/Bdabest7/SimpliTiles]]></repository>
        <tags><![CDATA[raster,tiles,gdal,parallel,xyz,pix4d,orthomosaic,tiling]]></tags>
        <downloads>279</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Monitoramento de Queimadas dNBR" version="1.0" plugin_id="4869">
        <description><![CDATA[Automated burn severity (dNBR) mapping and INPE fire risk analysis for forest fire monitoring.]]></description>
        <about><![CDATA[This plugin provides a streamlined workflow for forest fire monitoring. It automates the calculation of the Differenced Normalized Burn Ratio (dNBR) using Sentinel-2 satellite imagery to detect and classify burn severity. Additionally, it integrates INPE&#x27;s meteorological fire risk data (.nc files), allowing users to perform zonal statistics across municipal boundaries to identify areas in critical alert states. Ideal for environmental analysts and researchers focused on disaster management and biome preservation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/leandroluizp/plugin_burned_area]]></homepage>
        <file_name>area_queimada.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_cxX4aKa.png</icon>
        <author_name><![CDATA[Leandro Luiz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/area_queimada/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[leandropaixao22]]></uploaded_by>
        <create_date>2026-03-17T22:02:59.845319+00:00</create_date>
        <update_date>2026-03-17T22:03:01.678035+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/leandroluizp/plugin_burned_area/issues]]></tracker>
        <repository><![CDATA[https://github.com/leandroluizp/plugin_burned_area]]></repository>
        <tags><![CDATA[remote sensing,environment,sentinel-2,fire,brazil,monitoring,inpe,burned area,dnbr,risk analysis,forest fire]]></tags>
        <downloads>134</downloads>
        <average_vote>4.999444506165982</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Offline Router" version="0.1" plugin_id="4870">
        <description><![CDATA[Find the shortest driving route between multiple points using a local SpatiaLite routing database. Works fully offline — no internet required.]]></description>
        <about><![CDATA[Offline Router is a fully offline QGIS routing plugin. Click waypoints on the map, run a shortest-path query against a local SpatiaLite database, and get turn-by-turn directions with a styled route layer — all without any internet connection.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GeoBanditoEgo/qgis-plugin-offline-router]]></homepage>
        <file_name>offline_router.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_9EJu7st.png</icon>
        <author_name><![CDATA[GeoBandito]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/offline_router/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[geobandito]]></uploaded_by>
        <create_date>2026-03-17T23:43:06.873471+00:00</create_date>
        <update_date>2026-03-17T23:43:08.666630+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoBanditoEgo/qgis-plugin-offline-router/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoBanditoEgo/qgis-plugin-offline-router]]></repository>
        <tags><![CDATA[spatialite,routing,osm,shortest path,offline,navigation,turn-by-turn]]></tags>
        <downloads>191</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QNarcIS" version="3.2.2" plugin_id="4872">
        <description><![CDATA[SL: QGIS-vticnik za informacijski sistem za naravo - NarcIS | EN: QGIS plugin for the Slovenian Nature Information System - NarcIS]]></description>
        <about><![CDATA[SL: Vtičnik QNarcIS se povezuje z informacijskim sistemom za naravo - NarcIS, podpira napredno izvajanje prostorskih poizvedb, zagotavlja preprost dostop do biodiverzitetnih, naravovarstvenih in podpornih slojev. S funkcionalnostjo &quot;Pošlji sloj&quot; je podprto izvajanje prostorskih poizvedb neposredno v portalu NarcIS. Vtičnik vsebuje tudi navodila za uporabo in objave o aktualnih novostih vtičnika iz GIS-foruma v portalu NarcIS.
Razvit je bil v okviru projekta LIFE NarcIS (https://narcis.gov.si), dalje se razvija in nadgrajuje v okviru projekta SLO4D (https://www.gov.si/zbirke/projekti-in-programi/zeleni-slovenski-lokacijski-okvir-slo4d).
Več informacij in navodila: https://github.com/the-tomazz/qnarcis
---
EN: The QNarcIS plugin connects to the NarcIS nature information system, supports advanced spatial queries, and provides simple access to biodiversity, nature-conservation, and supporting layers. With the &quot;Send layer&quot; functionality, these queries can be executed directly in the NarcIS portal. The plugin also includes user instructions and announcements of current updates from the GIS forum in the NarcIS portal.
QNarcIS was developed within the framework of the LIFE NarcIS project (https://narcis.gov.si) and continues to be developed and upgraded as part of the SLO4D project (https://www.gov.si/zbirke/projekti-in-programi/zeleni-slovenski-lokacijski-okvir-slo4d).
More details and documentation: https://github.com/the-tomazz/qnarcis]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.4</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://the-tomazz.github.io/qnarcis/]]></homepage>
        <file_name>qnarcis.3.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_WBvbJ9t.png</icon>
        <author_name><![CDATA[Spatial mind (info@spatialmind.org) for Slovenian Environment Agency - ARSO (narcis.arso@gov.si)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qnarcis/version/3.2.2/download/</download_url>
        <uploaded_by><![CDATA[tomazz]]></uploaded_by>
        <create_date>2026-03-18T11:04:45.951654+00:00</create_date>
        <update_date>2026-03-18T20:43:52.142447+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/the-tomazz/qnarcis/issues]]></tracker>
        <repository><![CDATA[https://github.com/the-tomazz/qnarcis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>270</downloads>
        <average_vote>4.666277810182485</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SIOSE2CN" version="0.1.2" plugin_id="4874">
        <description><![CDATA[Calcula P0 y Número de Curva (CN) a partir de SIOSE, pendiente e IGME para flujos de trabajo hidrológicos e hidráulicos en España Peninsular.]]></description>
        <about><![CDATA[SIOSE2CN es un complemento de QGIS que calcula automáticamente el umbral de escorrentía (P0) y el Número de Curva (CN) a partir de coberturas del suelo SIOSE-AR, pendiente del terreno derivada de un MDT, y grupos hidrológicos obtenidos de la capa de permeabilidad del IGME (escala 1:200.000). El resultado es un raster NC_CURSO listo para su uso en modelos lluvia-escorrentía como HEC-HMS, HEC-RAS 2D u otros. Válido para España Peninsular. Soporta SIOSE-AR 2016, 2017, 2018 y 2020. La capa de permeabilidad IGME puede descargarse automáticamente, cargarse desde archivo local o conectarse mediante el servidor ArcGIS REST del IGME. Este desarrollo ha contado con la colaboración de Antonio López Espinazo, que aportó la metodología y la capa maestra de permeabilidad IGME utilizada en el cálculo.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pedroiba94/SIOSE2CN]]></homepage>
        <file_name>SIOSE2CN.0.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_DTHtTZE.png</icon>
        <author_name><![CDATA[Pedro Ivar y Hugo Alejandro Bohorquez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SIOSE2CN/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[pedrito94]]></uploaded_by>
        <create_date>2026-03-19T10:22:46.889689+00:00</create_date>
        <update_date>2026-03-22T07:04:45.177053+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pedroiba94/SIOSE2CN/issues]]></tracker>
        <repository><![CDATA[https://github.com/pedroiba94/SIOSE2CN]]></repository>
        <tags><![CDATA[hydrology,spain,hec-ras,hidrologia,españa,curve number,cn,runoff,mdt,hec-hms,siose,igme,infiltration,umbral escorrentia,p0,permeabilidad,numero de curva,pendiente]]></tags>
        <downloads>254</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WebODM Importer" version="0.2.3" plugin_id="4875">
        <description><![CDATA[Import WebODM task output into QGIS with automatic asset detection and layer generation.]]></description>
        <about><![CDATA[Imports WebODM task output (ZIP) into QGIS. Detects assets (orthophoto, DSM, DTM, point cloud), generates derived layers (CHM, vegetation index, hillshade, composite models), and organises them into a named layer group. Duplicate imports are detected by file hash. Support: https://paypal.me/rawslnc]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raw-slnc/webodm_importer]]></homepage>
        <file_name>webodm_importer.0.2.3.zip</file_name>
        <icon>/media/packages/2026/icon_tEB8jvL.png</icon>
        <author_name><![CDATA[Hideharu Masai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/webodm_importer/version/0.2.3/download/</download_url>
        <uploaded_by><![CDATA[rawslnc]]></uploaded_by>
        <create_date>2026-03-20T08:08:41.215737+00:00</create_date>
        <update_date>2026-03-29T04:37:12.001729+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raw-slnc/webodm_importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/raw-slnc/webodm_importer]]></repository>
        <tags><![CDATA[dem,dtm,drone,photogrammetry,forestry,chm,dsm,orthophoto,webodm]]></tags>
        <downloads>497</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="InSAR Suite" version="3.1" plugin_id="4876">
        <description><![CDATA[Integrated suite for loading, processing and analysis of PSI displacement data]]></description>
        <about><![CDATA[InSAR Suite is an integrated QGIS plugin that brings together four tools for PSI (Persistent Scatterer Interferometry) data analysis into a single dedicated toolbar.

- InSAR Load: loads PSI point layers from GeoPackage, Shapefile or GDB files using a polygon index layer, or reactivates an index already present in the project.
- InSAR EWUD: decomposes LOS velocities from ascending/descending Sentinel-1 (or other SAR) data into East-West and Up-Down components, with automatic resampling grid creation. Outputs include Na and Nd fields (number of PS points used per cell).
- InSAR VIS: calculates the detectable movement percentage (pc_mov) based on SAR acquisition geometry and terrain morphology derived from a DEM.
- InSAR TS: time series analysis tools including data quality and homogeneity check, automatic kinematic analysis with mean series layer output, seasonal decomposition (STL), piecewise non-linear analysis, temporal anomaly detection, and multi-zone comparison.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/montinigeo/InSAR_Suite]]></homepage>
        <file_name>InSAR_Suite.3.1.zip</file_name>
        <icon>/media/packages/2026/icon_suite_AVqo4pg.png</icon>
        <author_name><![CDATA[Giovanni Montini]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/InSAR_Suite/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[gdrf]]></uploaded_by>
        <create_date>2026-03-20T19:16:38.351926+00:00</create_date>
        <update_date>2026-04-05T21:13:19.498256+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/montinigeo/InSAR_Suite/issues]]></tracker>
        <repository><![CDATA[https://github.com/montinigeo/InSAR_Suite]]></repository>
        <tags><![CDATA[displacement,time series,remote sensing,sar,sentinel-1,deformation,landslide,insar,persistent scatterer,psi,egms,subsidence,geohazard]]></tags>
        <downloads>462</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Field Guide" version="2.0" plugin_id="4877">
        <description><![CDATA[Rotas de campo, amostragem por poligonos, exportacao CSV/GPX, camada temporaria e relatorios PDF no QGIS / Field routes, polygon sampling, CSV/GPX export, temporary layers, and PDF reports in QGIS.]]></description>
        <about><![CDATA[Capture points in QGIS, delete selected session marks, import and export CSV, export GPX for handheld GPS devices, add marks as a temporary project point layer, open Google Maps routes, generate mobile-friendly PDF reports, and create centroid, density-based, grid, spread-optimized, or zigzag sampling patterns inside polygon features. / Capture pontos no QGIS, exclua marcacoes selecionadas da sessao, importe e exporte CSV, exporte GPX para aparelhos GPS portateis, adicione marcacoes como camada temporaria de pontos no projeto, abra rotas no Google Maps, gere relatorios PDF mobile-friendly e crie padroes de amostragem por centroide, densidade por area, grade, distribuicao otimizada ou transecto em zig-zag dentro de feicoes poligonais.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://farmanalytica.github.io/fieldguide/]]></homepage>
        <file_name>fieldguide.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_3I7KmS5.png</icon>
        <author_name><![CDATA[Caio Arantes, FARM Analytica]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fieldguide/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[caioarantes]]></uploaded_by>
        <create_date>2026-03-22T11:30:24.647837+00:00</create_date>
        <update_date>2026-03-25T12:43:01.948175+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/farmanalytica/fieldguide/issues]]></tracker>
        <repository><![CDATA[https://github.com/farmanalytica/fieldguide]]></repository>
        <tags><![CDATA[python,polygon,gps,google maps,gpx,pdf,csv,qgis,sampling,field guide,guia de campo,soil sampling]]></tags>
        <downloads>323</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Power Atom Client" version="1.0.1" plugin_id="4878">
        <description><![CDATA[All new INSPIRE Atom Client for QGIS.]]></description>
        <about><![CDATA[Modern Atom Clinet for QGIS3 and QGIS4. Just paste url, load feed, fetch record and download data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Rzezimioszek/Power-Atom-Client]]></homepage>
        <file_name>power_atom.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_kJ7ab7s.png</icon>
        <author_name><![CDATA[Łukasz Świątek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/power_atom/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[rzezimioszek]]></uploaded_by>
        <create_date>2026-03-22T13:28:24.151723+00:00</create_date>
        <update_date>2026-03-22T13:32:27.421009+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rzezimioszek/Power-Atom-Client/issues]]></tracker>
        <repository><![CDATA[https://github.com/Rzezimioszek/Power-Atom-Client]]></repository>
        <tags><![CDATA[python,wfs,client,inspire,atom,gml,geojson,xml,zip]]></tags>
        <downloads>187</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoPoint Manager" version="5.3" plugin_id="4881">
        <description><![CDATA[Creates point vector layers from data sources with coordinate fields (lat/lon). Supports OGR/GDAL URLs, Google Sheets, GeoJSON, WFS and existing QGIS layers. Custom CSV separator and field options. Bilingual ITA/EN interface. Compatible with QGIS 3 and QGIS 4.]]></description>
        <about><![CDATA[GeoPoint Manager lets you create point vector layers from any data source that contains latitude/longitude fields. It supports OGR/GDAL URLs, Google Sheets (via CSV export), GeoJSON, WFS services, and existing QGIS layers. Custom CSV separator (comma, semicolon, tab, pipe, custom) and record/field options (skip rows, decimal comma, trim fields, discard empty fields). The bilingual ITA/EN interface can be switched on the fly. Data from Google Sheets is downloaded and stored persistently in a local GeoPackage with on-demand manual refresh. Compatible with both QGIS 3 (Qt5/PyQt5) and QGIS 4 (Qt6/PyQt6).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gbvitrano/geopoint_manager]]></homepage>
        <file_name>geopoint_manager.5.3.zip</file_name>
        <icon>/media/packages/2026/icon_J8WyBTx.svg</icon>
        <author_name><![CDATA[gbvitrano]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geopoint_manager/version/5.3/download/</download_url>
        <uploaded_by><![CDATA[gbvitrano]]></uploaded_by>
        <create_date>2026-03-23T13:08:27.230894+00:00</create_date>
        <update_date>2026-03-23T13:08:29.049860+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gbvitrano/geopoint_manager/issues]]></tracker>
        <repository><![CDATA[https://github.com/gbvitrano/geopoint_manager]]></repository>
        <tags><![CDATA[points,wfs,import,csv,coordinates,geojson,ogr,google sheets,lat,i18n,bilingual,lon,separator,delimiter]]></tags>
        <downloads>596</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Forest Plots Checker" version="1.0.0" plugin_id="4884">
        <description><![CDATA[Review forest plots with Sentinel-2/Planet satellite imagery in 2020. Confirm each plot is forested (1) or not forested (0).]]></description>
        <about><![CDATA[This plugin supports scanning forest plots in the room using Sentinel-2 or Planet 2020 satellite imagery. Import the forest plot shapefile, browse each plot by ID, view the satellite imagery, and record the confirmation result (0 = no forest, 1 = forest present).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cuongvnuf/Forest_lot_checker.git]]></homepage>
        <file_name>Review-forest-plots-on-Sentinel-2-satellite-imagery-in-2020.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_kkTkKlD.png</icon>
        <author_name><![CDATA[Nguyen Trong Cuong _ VNUF]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Review-forest-plots-on-Sentinel-2-satellite-imagery-in-2020/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[cuongnt]]></uploaded_by>
        <create_date>2026-03-24T08:00:44.697074+00:00</create_date>
        <update_date>2026-03-24T08:47:52.479358+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cuongvnuf/Forest_lot_checker.git]]></tracker>
        <repository><![CDATA[https://github.com/cuongvnuf/Forest_lot_checker.git]]></repository>
        <tags><![CDATA[remote sensing,sentinel,forest,vietnam]]></tags>
        <downloads>108</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LK-Technik Path Planner" version="1.2.0" plugin_id="4885">
        <description><![CDATA[Import and export of ISOXML-based guidance data and John Deere Gen4 files for agricultural machinery.]]></description>
        <about><![CDATA[Combined plugin for ISOXML and John Deere Gen4 import and export.
Provides a structured selection tree (Customer → Farm → Fields) and supports ISOXML v3, v4 and John Deere Gen4, including optional contour segments.

DISCLAIMER:
This plugin is distributed under the GNU General Public License v3.0 (or later).
It is provided WITHOUT ANY WARRANTY, without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
See the LICENSE file for details.

User guide:
https://www.youtube.com/playlist?list=PLBJSn-Fmyqo9rBs2AY4UGp8IYx5PcxJxG

Copyright (C) 2024-2026 Landwirtschaftskammer Niederösterreich
Developed by Florian Köck (LK-Technik Mold)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lktechnikmold/lk_technik_path_planner]]></homepage>
        <file_name>lk_technik_path_planner.1.2.0.zip</file_name>
        <icon>/media/packages/2026/logo_bPERCGC.png</icon>
        <author_name><![CDATA[Florian Köck]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lk_technik_path_planner/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[lktechnik]]></uploaded_by>
        <create_date>2026-03-24T08:48:27.578869+00:00</create_date>
        <update_date>2026-04-14T08:37:57.624669+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lktechnikmold/lk_technik_path_planner/issues]]></tracker>
        <repository><![CDATA[https://github.com/lktechnikmold/lk_technik_path_planner]]></repository>
        <tags><![CDATA[gps,agriculture,rtk,path-planning,guidance-system,field-boundary,farming,smart-farming,isoxml,obstacles,data-import,precision-farming,guidance-line,autosteering,isobus,machinery,johndeere,gen4]]></tags>
        <downloads>290</downloads>
        <average_vote>4.817743841468958</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GTFS 2 GIS" version="v1.0.0" plugin_id="4886">
        <description><![CDATA[Visualize and analyze GTFS transit data in QGIS with styled layers, dashboards, and real-time vehicle tracking.]]></description>
        <about><![CDATA[A comprehensive QGIS plugin for loading, visualizing, and analyzing GTFS (General Transit Feed Specification) and GTFS-RT data. Features include: styled route and stop layers, real-time vehicle tracking with bearing-based icons, frequency heatmaps, population coverage analysis (IBGE), transit desert detection, network isochrones, and a dynamic real-time dashboard.]]></about>
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        <qgis_maximum_version>4.0.0</qgis_maximum_version>
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        <icon>/media/packages/2026/icon_ibpYxxt.png</icon>
        <author_name><![CDATA[Erick Araujo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_gtfs_plugin/version/v1.0.0/download/</download_url>
        <uploaded_by><![CDATA[arrobaraujo]]></uploaded_by>
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        <tags><![CDATA[analysis,shape,tracker,transport,heatmap,gtfs,coverage,real-time,transit,stop,bus,subway]]></tags>
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        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Color Snap &amp; Polygon Extractor" version="1.2.0" plugin_id="4887">
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        <author_name><![CDATA[Vicky Sharma]]></author_name>
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        <uploaded_by><![CDATA[ineffable]]></uploaded_by>
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        <tags><![CDATA[vector,classification,extract,color,digitize,smooth,digitizer]]></tags>
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    </pyqgis_plugin><pyqgis_plugin name="QGIS Ledger" version="3.2.0" plugin_id="4888">
        <description><![CDATA[QGIS Ledger provides enterprise-grade, Git-like version control for QGIS desktop. Featuring semantic geometric diffing, deterministic rollback, and seamless multi-cloud synchronization (Nextcloud, WebDAV, Dropbox, OneDrive, Google Drive) via pure Python standard libraries. Ensure spatial data integrity, track changes across teams, and manage GeoPackage-based distributed workflows directly within the QGIS environment.]]></description>
        <about><![CDATA[============================================================
ITALIANO
============================================================

QGIS Ledger v3.2.0 — Versioning di Livello Enterprise per QGIS
Sistema di tracciamento storico e sincronizzazione cloud progettato per l&#x27;integrità dei dati spaziali, senza l&#x27;uso di dipendenze Python o database server esterni (come PostGIS). Ottimizzato per QGIS 3.x e QGIS 4 (Qt6).

VERSIONAMENTO &amp; ANALISI DIFFERENZIALE
- Architettura a Snapshot: Conserva copie esatte (commit) dei layer vettoriali, raster, o dell&#x27;intero workspace (.qgz) all&#x27;interno di un database transazionale locale SQLite.
- Locale / LAN nativo: Lo storico e le iterazioni temporali sono memorizzate per impostazione predefinita in una cartella a fianco del file di progetto (.qgz). Lavorando su una porzione di rete condivisa (LAN), l&#x27;intero ecosistema storico è universalmente accessibile e sincronizzato per tutti i membri del team a zero-configurazione.
- Diff Semantico-Visuale: Algoritmo interno basato su differenza simmetrica che permette di isolare ed evidenziare topologicamente le entità aggiunte, rimosse o mutate tra due branch temporali.
- Rollback Deterministico: Ripristina istantaneamente l&#x27;infrastruttura dati e lo stato stilistico a qualsiasi iterazione precedente.
- Interfaccia di Risoluzione Conflitti (Merge Wizard): Analisi split-screen per mitigare le collisioni asincrone su namespace condivisi.

WORKFLOW DISTRIBUITO &amp; CLOUD
- Multi-Provider Storage (Zero Pip): Supporto nativo via standard library per protocolli WebDAV, Dropbox API v2, Microsoft Graph API (OneDrive/SharePoint) e Google Drive API v3 (con rinnovo token OAuth2 automatico).
- Browser Cloud Integrato: Gestione I/O trasparente tramite Dock Widget dedicato (navigazione, gestione cartelle, upload/download diretto).
- Serializzazione Vettoriale GeoPackage on-the-fly: Operazioni drag-and-drop convertono autonomamente i layer raw in file GeoPackage, incapsulando contestualmente la rappresentazione `.qml` nella tabella di sistema `layer_styles` per una fedeltà visiva portatile immediata.

ORCHESTRAZIONE &amp; AUTOMAZIONE
- Auto-Commit Trigger-Based: Sincronizzazione atomica silente ad ogni salvataggio del layer in stato di edit.
- Auto-Save Asincrono: Polling configurabile per la storicizzazione completa dell&#x27;ecosistema di progetto.
- Nomenclatura Intelligente: Tassonomia crittografica dinamica per repository e allegati multimediali.

============================================================
ENGLISH
============================================================

QGIS Ledger v3.2.0 — Enterprise-Grade Version Control for QGIS
A comprehensive historical tracking and cloud synchronization engine engineered for geospatial data integrity, operating entirely dependency-free across QGIS 3.x and QGIS 4 (Qt6).

VERSIONING &amp; DIFFERENTIAL ANALYSIS
- Snapshot Architecture: Safely preserves atomic commits of vector pipelines, raster topologies, or the entire composite `.qgz` workspace inside a transactional SQLite database.
- Semantic Visual Diff: Employs a symmetric-difference algorithm to geometrically isolate and spatially highlight added, removed, or mutated entities across diverging timelines.
- Deterministic Rollback: Instantaneously reconstructs previous infrastructural data schemas and their attached styling.
- Interactive Conflict Resolution (Merge Wizard): Split-screen telemetry mitigating asynchronous overwrite collisions on shared persistent storage.

DISTRIBUTED WORKFLOWS &amp; CLOUD INTEGRATION
- Zero-Dependency Multi-Provider Storage: Implements raw stdlib-driven architectures for Nextcloud/WebDAV, Dropbox API v2, Microsoft Graph (OneDrive/SharePoint), and Google Drive API v3 (with OAuth2 auto-refresh).
- Extensible Cloud Browser: Integrated IO management dock widget offering fully-fledged CRUD operations on remote instances.
- On-the-Fly GeoPackage Serialization: Drag-and-drop routines transparently encapsulate raw vector outputs into standalone GeoPackages, embedding active `.qml` definitions directly inside the `layer_styles` payload for immediate declarative rendering across remote machines.

ORCHESTRATION &amp; AUTOMATION
- Trigger-Based Auto-Commit: Silently commits local mutations on edit closure.
- Asynchronous Auto-Save: Background polling pipeline for robust ecosystem-wide snapshotting.
- Intelligent Nomenclature: Dynamic taxonomies ensuring strict traceability across repositories and multimedia assets.]]></about>
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        <file_name>bkompv_rechner.1.9.zip</file_name>
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        <author_name><![CDATA[Lienus Rob]]></author_name>
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The canvas plots each layer as a draggable dot — X axis controls stacking order, Y axis controls opacity. Drag a dot to adjust both at once. Click a dot to toggle its visibility.

Key features:
- Real-time opacity and order editing with immediate map feedback
- Label control: a △ indicator selects which layer displays its QGIS label
- Exclusive Control mode: click any dot to show only that layer and its label; cycle through layers with arrow keys
- Opacity clamping: define an upper/lower opacity range applied across all layers
- Presets (×4): save and restore full panel states, including order, opacity, clamping, and exclusive control settings

Designed for workflows that involve comparing multiple overlapping layers — such as elevation models, orthophotos, and feature layers — where visual blending and quick layer switching matter.]]></about>
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        <icon>/media/packages/2026/icon_WOlO76U.png</icon>
        <author_name><![CDATA[Hideharu Masai]]></author_name>
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        <uploaded_by><![CDATA[rawslnc]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/raw-slnc/transmittance_layer_ctl/issues]]></tracker>
        <repository><![CDATA[https://github.com/raw-slnc/transmittance_layer_ctl]]></repository>
        <tags><![CDATA[layer,labeling,group,opacity,blend,transmittance]]></tags>
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        <server>False</server>
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        <about><![CDATA[面向国土空间规划、土地整治、调查监测和部分测绘场景的停靠面板式 QGIS AI 助手。
支持自然语言问答、多步 Processing 执行、图层管理、字段计算、短会话记忆、最近操作记录、MCP 上下文桥接，以及按规划规程进行标准化符号化。
作者：槐中路科科；邮箱：gaojunke@outlook.com；QQ：996517087。]]></about>
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        <homepage><![CDATA[https://github.com/gaojunke/QGIS-AI-Agent]]></homepage>
        <file_name>nl_qgis_agent.0.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_fhS1ORl.png</icon>
        <author_name><![CDATA[槐中路科科]]></author_name>
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        <tracker><![CDATA[https://github.com/gaojunke/QGIS-AI-Agent/issues]]></tracker>
        <repository><![CDATA[https://github.com/gaojunke/QGIS-AI-Agent]]></repository>
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        <server>False</server>
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        <about><![CDATA[Apply built-in or saved colour ramps to graduated/categorized layers, save single-symbol colours, and save/load full layer styles by geometry type. Copy path and open style folder. Styles stay in QGIS.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>4.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jasonwheritage/QGIS-Palette-Pilot]]></homepage>
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        <icon></icon>
        <author_name><![CDATA[Jason Heritage &amp; Cursor]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/palette_pilot/version/1.3.2/download/</download_url>
        <uploaded_by><![CDATA[jwh26]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jasonwheritage/QGIS-Palette-Pilot/issues]]></tracker>
        <repository><![CDATA[https://github.com/jasonwheritage/QGIS-Palette-Pilot]]></repository>
        <tags><![CDATA[vector,layer,style,color,colour,palette,symbology,pilot,graduated,ramp,categorized]]></tags>
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    </pyqgis_plugin><pyqgis_plugin name="Lageplaner" version="0.2.8" plugin_id="4896">
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        <about><![CDATA[Kostenloser Download von deutschen ALKIS-Katasterdaten in den Darstellungsregeln der GeoInfoDok 7 für den aktuellen Kartenausschnitt direkt in QGIS. Das Plugin übernimmt den sichtbaren Ausschnitt, lädt die Daten als GeoPackage aus der Lageplaner API und fügt Flächen, Linien, Punkte und Beschriftungen direkt dem Projekt hinzu. Der öffentliche GeoPackage-Zugang ist auf 1 km² pro Export, 30 Anfragen pro Stunde pro IP-Adresse und 2 gleichzeitige Jobs pro IP-Adresse begrenzt. Datenstand und Lizenzhinweise je Bundesland finden Sie unter lageplaner.de/quelldaten, die API-Dokumentation unter api.lageplaner.de/v1/docs. Bayern und Sachsen-Anhalt sind derzeit noch nicht verfügbar.]]></about>
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        <homepage><![CDATA[https://lageplaner.de]]></homepage>
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        <icon>/media/packages/2026/icon_COPexV0.png</icon>
        <author_name><![CDATA[Lageplaner]]></author_name>
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        <repository><![CDATA[https://github.com/paulmuezi/lageplaner-qgis-plugin]]></repository>
        <tags><![CDATA[buildings,cadastre,cadastral,germany,alkis,qgis,geopackage,parcels,land use]]></tags>
        <downloads>112</downloads>
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        <server>False</server>
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        <about><![CDATA[Qgis2OnlineMap is a zero-config hosting bridge for QGIS. Securely publish 2D and 3D maps to the cloud and manage them via a professional dashboard. Optimized for secured and rapid stakeholder sharing. Compatible with QGIS 3.x and 4.0.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2026/icon_1NNFoFf.png</icon>
        <author_name><![CDATA[Abdoulaye Diakite]]></author_name>
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    </pyqgis_plugin><pyqgis_plugin name="mutant.kiwi Imagery Explorer" version="1.0.5" plugin_id="4901">
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        <about><![CDATA[A point-and-click explorer for New Zealand aerial imagery served from https://registry.opendata.aws/nz-imagery/ Click anywhere on the map to find all imagery sheets covering that location, then double-click any result to stream the Cloud-Optimised GeoTIFF directly into QGIS. Supports RGB aerial, near-infrared (auto CIR false-colour), and satellite imagery. Data sourced from LINZ / nz-imagery S3 archive.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://imagery.mutant.kiwi]]></homepage>
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        <icon>/media/packages/2026/icon_UcDUi93.png</icon>
        <author_name><![CDATA[mutant.kiwi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/imagery_explorer/version/1.0.5/download/</download_url>
        <uploaded_by><![CDATA[glauer]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/MutantKiwi/aerial-image-viewer-qgis/issues]]></tracker>
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        <tags><![CDATA[remote sensing,imagery,aerial,linz,cog,infrared,nir,nztm,new zealand]]></tags>
        <downloads>102</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cadastre ZIP Editor" version="1.0.0" plugin_id="4905">
        <description><![CDATA[Professional tool for editing cadastral ZIP packages and exporting validated GML]]></description>
        <about><![CDATA[Professional tool for editing cadastral parcels and buildings within ZIP-based cadastral systems. Includes validation, topology control, external import and standardized export.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bidrizi74/cadastre-zip-editor]]></homepage>
        <file_name>cadastre_zip_editor.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_qUW596w.png</icon>
        <author_name><![CDATA[Geo-SEE Institute]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cadastre_zip_editor/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[bidrizi74]]></uploaded_by>
        <create_date>2026-03-27T00:44:20.400961+00:00</create_date>
        <update_date>2026-03-27T00:44:22.267919+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bidrizi74/cadastre-zip-editor/issues]]></tracker>
        <repository><![CDATA[https://github.com/bidrizi74/cadastre-zip-editor]]></repository>
        <tags><![CDATA[topology,gml,cadastre,gis,mapping,zip,surveying,parcel,building,geodesy,northmacedonia,house]]></tags>
        <downloads>176</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HAND Plugin" version="1.0.1" plugin_id="4906">
        <description><![CDATA[Generates the Height Above Nearest Drainage (HAND).]]></description>
        <about><![CDATA[This plugin computes the Height Above Nearest Drainage (HAND), a terrain descriptor defined as the elevation difference between a surface point and the nearest drainage network point to which it drains.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://j1vitor.github.io/hand_module/]]></homepage>
        <file_name>hand_module.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_TRsiwMU.png</icon>
        <author_name><![CDATA[João Vitor Lima &amp; Adriano Paz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hand_module/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[jvdslosgeo]]></uploaded_by>
        <create_date>2026-03-27T03:03:47.582752+00:00</create_date>
        <update_date>2026-03-27T03:13:47.350173+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/J1Vitor/hand_module.git]]></tracker>
        <repository><![CDATA[https://github.com/J1Vitor/hand_module.git]]></repository>
        <tags><![CDATA[dem,hand,flood-prone area]]></tags>
        <downloads>138</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick Reproject Pro" version="2.0.2" plugin_id="4908">
        <description><![CDATA[Fast coordinate reference system (CRS) reprojection with custom shortcuts.]]></description>
        <about><![CDATA[A QGIS plugin for instant layer reprojection via hotkeys. Resides under &#x27;Ineffable Tools&#x27;. Defaults cover Indian UTM zones: Alt+2 (42N), Alt+3 (43N), Alt+4 (44N), Alt+5 (45N), Alt+6 (46N), and Alt+8 (WGS84). Users can customize shortcuts via the built-in manager.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ineffablexd/quick_reproject_plugin]]></homepage>
        <file_name>quick_reproject_plugin.2.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_9uCRYUU.png</icon>
        <author_name><![CDATA[Vicky Sharma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick_reproject_plugin/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[ineffable]]></uploaded_by>
        <create_date>2026-03-27T12:05:52.695403+00:00</create_date>
        <update_date>2026-03-27T12:05:54.533626+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ineffablexd/quick_reproject_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ineffablexd/quick_reproject_plugin]]></repository>
        <tags><![CDATA[crs,tools,coordinate,utm,reproject,quick,ineffable]]></tags>
        <downloads>144</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Crossing Angel Analyser" version="2.0.0" plugin_id="4909">
        <description><![CDATA[Dynamic real-time intersection angle analyzer for lines.]]></description>
        <about><![CDATA[A QGIS plugin providing real-time analysis of intersection angles between route and obstacle layers. Features high-visibility 1.6m color-coded markers (Red &lt;70°, Blue 70-80°, Green &gt;80°) and automatic top-layer rendering. Part of the &#x27;Ineffable Tools&#x27; suite.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ineffablexd/crossing_angel_analyser]]></homepage>
        <file_name>crossing_angel_analyser.2.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_GPZAQAD.png</icon>
        <author_name><![CDATA[Vicky Sharma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/crossing_angel_analyser/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[ineffable]]></uploaded_by>
        <create_date>2026-03-27T13:46:12.707697+00:00</create_date>
        <update_date>2026-03-27T13:46:14.576730+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ineffablexd/crossing_angel_analyser/issues]]></tracker>
        <repository><![CDATA[https://github.com/ineffablexd/crossing_angel_analyser]]></repository>
        <tags><![CDATA[intersection,angle,real-time,ineffable,analyser,crossing]]></tags>
        <downloads>63</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Horizon Projector" version="1.0" plugin_id="4912">
        <description><![CDATA[Horizon Projector is a complete plugin for nautical and geodetic calculations in QGIS.]]></description>
        <about><![CDATA[Key features:
1) Distance to horizon calculation based on observer height,
2) Maximum distance calculation for object viewing,
3) Geodetic projection via magnetic azimuth and distance with declination correction,
4) Creation of distance rings in nautical miles with color gradient,
5) Export to GPX, KML, Shapefile, and GeoJSON. Ideal for maritime navigation, route planning, visibility studies, search and rescue, and geodetic applications.

All calculations consider the curvature of the Earth using precise geodetic formulas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/skavazza/Horizon-Projector]]></homepage>
        <file_name>horizon.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_Jwlz3gZ.png</icon>
        <author_name><![CDATA[Alberto Rodrigues]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/horizon/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[betorodriigues]]></uploaded_by>
        <create_date>2026-03-27T16:41:21.323670+00:00</create_date>
        <update_date>2026-03-27T16:41:23.186611+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/skavazza/Horizon-Projector/issues]]></tracker>
        <repository><![CDATA[https://github.com/skavazza/Horizon-Projector]]></repository>
        <tags><![CDATA[python,distance,maritime,azimuth,nautical,navigation,nautico,geodesia,horizon,navegacao,projecao,horizonte,maritimo,rings]]></tags>
        <downloads>95</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Canva Focus" version="1.0" plugin_id="4913">
        <description><![CDATA[Plugin to view and control the focus in the central area of ​​the map.]]></description>
        <about><![CDATA[Canva Focus is a plugin that helps identify and work with the center of the map window in QGIS. With this plugin you can:
Display an adjustable border that delimits the central focus zone of the map
Adjust the size of the focus zone using a slider
Activate/deactivate the focus mode with a toggle button
Display the exact center of the focus zone with a crosshair marker
Automatically center the map when clicking outside the focus zone when the mode is activated
Ideal for work that requires precision in positioning and visualizing the center of the map.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/skavazza/Canva-Focus]]></homepage>
        <file_name>canva_focus.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_OtRPY7A.png</icon>
        <author_name><![CDATA[Alberto Rodrigues]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/canva_focus/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[betorodriigues]]></uploaded_by>
        <create_date>2026-03-27T16:44:23.475370+00:00</create_date>
        <update_date>2026-03-27T16:44:25.335760+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/skavazza/Canva-Focus/issues]]></tracker>
        <repository><![CDATA[https://github.com/skavazza/Canva-Focus]]></repository>
        <tags><![CDATA[cad,digitizing,delimitation]]></tags>
        <downloads>75</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RTH PROJECT" version="1.1.5" plugin_id="4914">
        <description><![CDATA[O plugin foi desenvolvido para auxiliar profissionais de sensoriamento remoto em suas atividades do dia a dia, reunindo 16 ferramentas práticas e integradas que otimizam fluxos de trabalho dentro do QGIS. Entre suas funcionalidades, destaca-se a ferramenta de visualização e download de imagens de diferentes satélites, como Sentinel-2, Landsat, Amazônia e CBERS, realizando automaticamente a identificação do sistema de referência espacial (EPSG) mais adequado para a região selecionada. O plugin também oferece recursos para obtenção rápida de coordenadas geográficas (latitude e longitude) diretamente no mapa, além da copia do GeoJSON a partir de polígonos desenhados. Conta ainda com a possibilidade de envio de pontos para o Google Earth Pro, facilitando a integração entre plataformas. Outra funcionalidade importante é a visualização e download de modelos digitais de elevação (DEM) para áreas de interesse. Para análises espaciais, disponibiliza uma ferramenta de cálculo de área em hectares utilizando a projeção mais adequada da região, garantindo maior precisão e agilidade. O plugin também permite importar pontos de GPS e convertê-los em polígonos, bem como gerar pontos georreferenciados espaçados automaticamente dentro de áreas delimitadas. Adicionalmente, inclui ferramentas para importação e exportação rápida de dados no formato CSV, além da criação de linhas de plantio ou colheita em polígonos, contribuindo diretamente para aplicações no contexto agrícola e de geotecnologias.]]></description>
        <about><![CDATA[The plugin was developed to support remote sensing professionals in their daily activities, bringing together 16 practical and integrated tools that streamline workflows within QGIS. Among its main features is a tool for visualization and download of imagery from multiple satellite sources, including Sentinel-2, Landsat, Amazônia, and CBERS, automatically identifying the most appropriate spatial reference system (EPSG) for the selected region. It also provides tools for quickly retrieving geographic coordinates (latitude and longitude) directly from the map, As well as copying GeoJSON from drawn polygons to the clipboard. In addition, the plugin enables sending points to Google Earth Pro, facilitating integration between platforms. Another key feature is the ability to visualize and download Digital Elevation Models (DEM) for areas of interest. For spatial analysis, it includes a fast and accurate area calculation tool (in hectares) that uses the most suitable projection for the region. The plugin also allows importing GPS points and converting them into polygons, as well as generating evenly spaced georeferenced points within selected areas. Furthermore, it offers tools for quick CSV import and export, along with the creation of planting or harvesting lines within polygons, making it especially useful for agricultural and geospatial applications.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.7</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://rithon.com.br/]]></homepage>
        <file_name>rth_project.1.1.5.zip</file_name>
        <icon>/media/packages/2026/icon-geral_jUXr4cQ.png</icon>
        <author_name><![CDATA[Luciano &quot;Rithon&quot; Junior]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rth_project/version/1.1.5/download/</download_url>
        <uploaded_by><![CDATA[rithon]]></uploaded_by>
        <create_date>2026-03-27T17:27:16.215989+00:00</create_date>
        <update_date>2026-04-14T22:56:00.205740+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/RithonBR/rth-project/issues]]></tracker>
        <repository><![CDATA[https://github.com/RithonBR/rth-project]]></repository>
        <tags><![CDATA[python,raster,web,landsat,capture,dem,coordinate,sentinel,satellite,imagery,latitude,longitude,vrt,cbers,stac,amazonia]]></tags>
        <downloads>267</downloads>
        <average_vote>4.999444506165982</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Atlas Pro Germany" version="0.1.0" plugin_id="4915">
        <description><![CDATA[Access and download 1m resolution German elevation data (DEM/DSM) directly within QGIS.]]></description>
        <about><![CDATA[Atlas Pro Germany integrates the Atlas web application (https://atlas.geo-code.de) into QGIS as a dock widget. It allows you to browse, select, and export 1-meter resolution Digital Elevation Models (DEM) and Digital Surface Models (DSM) covering all of Germany. Downloaded GeoTIFF/COG files can be loaded directly into your QGIS project with a single click. Requires an internet connection. Registration on atlas.geo-code.de is required for data export. Prices start at 5 Euro.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://atlas.geo-code.de]]></homepage>
        <file_name>atlas_qgis_plugin.0.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_d7VtJ3A.png</icon>
        <author_name><![CDATA[Geocode]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/atlas_qgis_plugin/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[egli]]></uploaded_by>
        <create_date>2026-03-28T11:56:37.079268+00:00</create_date>
        <update_date>2026-03-28T11:56:40.144336+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/geo-code/atlas-qgis-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geo-code/atlas-qgis-plugin]]></repository>
        <tags><![CDATA[raster,web,dem,terrain,elevation,download,germany,dsm,digital elevation model,digital surface model,geodata]]></tags>
        <downloads>140</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGarage" version="1.0.2" plugin_id="4916">
        <description><![CDATA[Modular app-hosting framework for QGIS. Install, manage, and run isolated mini-tools from a single dashboard.]]></description>
        <about><![CDATA[QGarage is a plugin-within-a-plugin framework. Each &quot;App&quot; runs in its own isolated uv virtual environment with fault tolerance, a modern card-based UI, and zero-friction developer experience. Features include: a dashboard with card-based UI for managing apps, per-app isolated virtual environments via uv, dynamic app loading with fault isolation, dark/light theme support, and a scaffold wizard for creating new apps.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mattbat44/QGarage/]]></homepage>
        <file_name>qgarage.1.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_3RoJ81I.svg</icon>
        <author_name><![CDATA[Matt Adams]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgarage/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[mattbat44]]></uploaded_by>
        <create_date>2026-03-29T09:15:52.809220+00:00</create_date>
        <update_date>2026-03-30T20:21:01.261743+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mattbat44/QGarage/issues]]></tracker>
        <repository><![CDATA[https://github.com/mattbat44/QGarage/]]></repository>
        <tags><![CDATA[tools,dashboard,modular,apps,virtual-environment,framework]]></tags>
        <downloads>163</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArcGIS ImageServer Downloader" version="0.1.4" plugin_id="4917">
        <description><![CDATA[Download raster tiles from ArcGIS ImageServer REST services and create Cloud Optimized GeoTIFFs (COGs)]]></description>
        <about><![CDATA[Download raster tiles from ArcGIS ImageServer REST services at their native resolution and assemble them into Cloud Optimized GeoTIFFs (COGs). Supports large-area downloads via a draw-on-canvas bbox tool and parallel tile fetching. Includes a dock widget for browsing and selecting services, plus Processing algorithms for scripted and batch workflows. Zero external dependencies — requires only QGIS and its bundled GDAL. Compatible with QGIS 3.28+ (Qt5) and QGIS 4.x (Qt6). Ships with GIS Steiermark pre-configured; custom servers can be added.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hkristen/qgis-arcgis-imageserver-downloader]]></homepage>
        <file_name>arcgis_imageserver_downloader.0.1.4.zip</file_name>
        <icon>/media/packages/2026/icon_GCxjtgP.svg</icon>
        <author_name><![CDATA[Harald Kristen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arcgis_imageserver_downloader/version/0.1.4/download/</download_url>
        <uploaded_by><![CDATA[hkristen]]></uploaded_by>
        <create_date>2026-03-29T10:58:02.140662+00:00</create_date>
        <update_date>2026-04-08T10:48:35.110722+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hkristen/qgis-arcgis-imageserver-downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/hkristen/qgis-arcgis-imageserver-downloader]]></repository>
        <tags><![CDATA[raster,download,arcgis,geotiff,cog,imageserver]]></tags>
        <downloads>1182</downloads>
        <average_vote>4.999444506165982</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MAFF FudePolygonExporter" version="1.0.0" plugin_id="4918">
        <description><![CDATA[農水省(MAFF)筆ポリゴンデータ(GeoJSON)からそれらを構成している各ポイントの座標(平面直角座標系)を取得しCSVファイルに出力します。
This program retrieves the coordinates (plane rectangular coordinate system) of each point constituting the polygon data (GeoJSON) from the Ministry of Agriculture, Forestry and Fisheries (MAFF) and outputs them to a CSV file]]></description>
        <about><![CDATA[農水省筆ポリゴン（GeoJSON）から選択した地物の構成点座標を平面直角座標系でCSVエクスポートします。
Exports the coordinates of the constituent points of features selected from Ministry of Agriculture, Forestry and Fisheries brush polygons (GeoJSON) to CSV in a plane orthogonal coordinate system.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/chosashi5884/MAFF_fude_polygon_exporter]]></homepage>
        <file_name>fude_polygon_exporter.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_TxNfZBD.svg</icon>
        <author_name><![CDATA[Kobayashi Land and House Investigator Office (こばやし土地家屋調査士事務所)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fude_polygon_exporter/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[samurider]]></uploaded_by>
        <create_date>2026-03-29T12:06:08.321138+00:00</create_date>
        <update_date>2026-03-29T12:06:10.132101+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chosashi5884/MAFF_fude_polygon_exporter/issues]]></tracker>
        <repository><![CDATA[https://github.com/chosashi5884/MAFF_fude_polygon_exporter]]></repository>
        <tags><![CDATA[export,polygon,csv,survey,agriculture,fude,筆ポリゴン,平面直角座標系,農水省]]></tags>
        <downloads>64</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TKGM Parsel Sorgulama" version="0.0.9" plugin_id="4920">
        <description><![CDATA[TKGM CBS API üzerinden parsel sorgulama, geometri görüntüleme ve harita tıklama ile parsel bulma. / Parcel query and geometry display via TKGM CBS API.]]></description>
        <about><![CDATA[Bu eklenti TKGM (Tapu ve Kadastro Genel Müdürlüğü) CBS API&#x27;sini kullanarak parsel sorgulama yapar. İl/İlçe/Mahalle/Ada/Parsel ile ya da haritaya tıklayarak parsel geometrisini QGIS katmanına ekler. / This plugin queries parcels using the TKGM CBS API and adds geometries to QGIS layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/okansafak/qgistkgmplugin]]></homepage>
        <file_name>tkgm_parsel_plugin.0.0.9.zip</file_name>
        <icon>/media/packages/2026/icon_yOn0TtD.png</icon>
        <author_name><![CDATA[TKGM Parsel Plugin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tkgm_parsel_plugin/version/0.0.9/download/</download_url>
        <uploaded_by><![CDATA[okansafak]]></uploaded_by>
        <create_date>2026-03-29T13:25:54.755603+00:00</create_date>
        <update_date>2026-04-17T08:39:43.559641+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/okansafak/qgistkgmplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/okansafak/qgistkgmplugin]]></repository>
        <tags><![CDATA[turkey,kadastro,türkiye,parsel,tapu,tkgm]]></tags>
        <downloads>634</downloads>
        <average_vote>4.777246972558605</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="iLAND Workbench" version="4.0.5" plugin_id="4922">
        <description><![CDATA[QGIS-based iLAND Workbench developed for hassle-free installation and reproducible analysis workflows.]]></description>
        <about><![CDATA[This plugin was developed as the third chapter analysis work of a PhD dissertation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/paudelsushil/iLAND-QGIS-plugin#readme]]></homepage>
        <file_name>iland_qgis_plugin.4.0.5.zip</file_name>
        <icon>/media/packages/2026/icon4_KQ10ef7.png</icon>
        <author_name><![CDATA[Sushil Paudel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/iland_qgis_plugin/version/4.0.5/download/</download_url>
        <uploaded_by><![CDATA[spaudel31231]]></uploaded_by>
        <create_date>2026-03-29T19:23:43.868596+00:00</create_date>
        <update_date>2026-04-07T17:27:24.397697+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/paudelsushil/iLAND-QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/paudelsushil/iLAND-QGIS-plugin]]></repository>
        <tags><![CDATA[landscape,forest,iland,ecological-modelling,disturbance-simulation,process-based-modelling]]></tags>
        <downloads>141</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Weatheer Synopct Charts" version="1.0" plugin_id="4924">
        <description><![CDATA[Generates synoptic weather charts using the NASA POWER API.]]></description>
        <about><![CDATA[This plugin generates synoptic weather charts by retrieving meteorology data from the NASA POWER API, enabling the local generation of vector layers for wind barbs and pressure isobars.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/skavazza/weatheer_synopct_charts]]></homepage>
        <file_name>weatheer_synopct_charts.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_EU9cD6z.png</icon>
        <author_name><![CDATA[Alberto Rodrigues]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/weatheer_synopct_charts/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[betorodriigues]]></uploaded_by>
        <create_date>2026-03-30T02:26:53.043408+00:00</create_date>
        <update_date>2026-03-30T02:26:54.818003+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/skavazza/weatheer_synopct_charts/issues]]></tracker>
        <repository><![CDATA[https://github.com/skavazza/weatheer_synopct_charts]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>111</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Data Reviewer" version="1.0.2" plugin_id="4925">
        <description><![CDATA[Rule-based QA/QC validation tool for vector layers (attribute, geometry, spatial relationship checks) with Error Inspector and auto-fix capabilities.]]></description>
        <about><![CDATA[A comprehensive data validation plugin modeled after ArcGIS Data Reviewer. Define rules for attribute completeness, domain values, range checks, geometry validity, topology, and spatial relationships. Run rules in the background, inspect errors in a dockable inspector, assign/status-manage errors, export reports, and apply safe auto-fixes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Prymtym4eva/qgis_data_reviewer/tree/main/qgis_data_reviewer]]></homepage>
        <file_name>qgis_data_reviewer.1.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_KLWFWY5.png</icon>
        <author_name><![CDATA[Ben Emunah Aikins]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_data_reviewer/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[prime002]]></uploaded_by>
        <create_date>2026-03-30T07:55:40.884860+00:00</create_date>
        <update_date>2026-03-30T08:06:16.390585+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Prymtym4eva/qgis_data_reviewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/Prymtym4eva/qgis_data_reviewer/tree/main/qgis_data_reviewer]]></repository>
        <tags><![CDATA[attribute,geometry,topology,validation,qa,qc,data quality]]></tags>
        <downloads>234</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QITV" version="1.0" plugin_id="4926">
        <description><![CDATA[Plugin Qgis pour les inspection telévisée de réseaux d&#x27;assainissements
-
QGIS plugin for sewer CCTV inspections]]></description>
        <about><![CDATA[Un plugin Qgis permettant d&#x27;importer et d&#x27;exporter des fichier XML et TXT au format NF EN 13508-2 issus de Wincan ou autres
-
A QGIS plugin for importing and exporting XML and TXT files in NF EN 13508-2 format from Wincan or other sources.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.26.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cazitouni/QITV]]></homepage>
        <file_name>QITV.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_4DMyJJp.svg</icon>
        <author_name><![CDATA[Clément Zitouni]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QITV/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cazitouni]]></uploaded_by>
        <create_date>2026-03-30T09:20:59.463134+00:00</create_date>
        <update_date>2026-03-30T09:21:01.223682+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cazitouni/QITV/issues]]></tracker>
        <repository><![CDATA[https://github.com/cazitouni/QITV]]></repository>
        <tags><![CDATA[wincan,inspection,sewer,itv,cctv,televise,13508-2]]></tags>
        <downloads>74</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Text2Map" version="3.1.0" plugin_id="4927">
        <description><![CDATA[Convert pasted text (lat/lon, JSON, GeoJSON, WKT) into temporary geometry layers. Works with both QGIS 3 and QGIS 4.]]></description>
        <about><![CDATA[Text2Map lets you quickly visualise spatial data from plain text without leaving QGIS.
Compatible with QGIS 3.16+ (Qt5) and QGIS 4.0+ (Qt6).

Supported input formats:
- Decimal lat/lon pairs (comma, space, or semicolon separated; one per line)
- DMS coordinates (Degrees Minutes Seconds)
- JSON objects / arrays with lat/lon key variants
- GeoJSON (FeatureCollection, Feature, or bare geometry)
- WKT (POINT, LINESTRING, POLYGON and MULTI variants)

Features:
- Automatic format detection
- Creates a temporary memory layer in EPSG:4326
- Preserves JSON / GeoJSON properties as attribute fields
- Custom layer naming
- Auto-zooms map canvas to the new layer
- Full error messages on parse failure]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Pradipkraze]]></homepage>
        <file_name>text2map_v3.3.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_kXChsd5.png</icon>
        <author_name><![CDATA[Pradip]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/text2map_v3/version/3.1.0/download/</download_url>
        <uploaded_by><![CDATA[pkraze]]></uploaded_by>
        <create_date>2026-03-30T14:50:54.893509+00:00</create_date>
        <update_date>2026-04-09T04:41:19.244925+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Pradipkraze/qgis_pulgins/issues]]></tracker>
        <repository><![CDATA[https://github.com/Pradipkraze/qgis_pulgins/tree/text2map_v3]]></repository>
        <tags><![CDATA[wkt,points,geometry,import,convert,coordinates,geojson,json,text,digitize,latlon,lat lon]]></tags>
        <downloads>462</downloads>
        <average_vote>4.999687519530029</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UrbisMap Click" version="1.0.1" plugin_id="4928">
        <description><![CDATA[Open UrbisMap in an external browser by clicking a point on the map]]></description>
        <about><![CDATA[Click the plugin button, then click on the map to open UrbisMap with the latitude and longitude of the selected point.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/UrbisPille/urbismap-qgis-plugin]]></homepage>
        <file_name>urbismap_plugin.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_wUr1WDa.png</icon>
        <author_name><![CDATA[Roberto Pilleri]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/urbismap_plugin/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[urbispille94]]></uploaded_by>
        <create_date>2026-03-30T15:24:23.211114+00:00</create_date>
        <update_date>2026-03-30T15:24:24.989904+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UrbisPille/urbismap-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/UrbisPille/urbismap-qgis-plugin]]></repository>
        <tags><![CDATA[map,web,browser,click,urbismap]]></tags>
        <downloads>77</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ML Generator SR/CR" version="17.0.0" plugin_id="4930">
        <description><![CDATA[Generate map sheets for Slovakia and Czechia from an AOI polygon layer.]]></description>
        <about><![CDATA[Generate map sheet polygons from bundled SR/CR 1:5000 grids. SR/CR coarse scales follow UGKK/CUZK rules. Fine scales use recursive 2x2 subdivision.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Rris0/qgis_plugin_ML_generator_SR_CR]]></homepage>
        <file_name>ML_generator_SR_CR.17.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_8n4sq10.svg</icon>
        <author_name><![CDATA[Richard Reichel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ML_generator_SR_CR/version/17.0.0/download/</download_url>
        <uploaded_by><![CDATA[rris0]]></uploaded_by>
        <create_date>2026-03-30T16:57:01.685278+00:00</create_date>
        <update_date>2026-03-30T16:57:03.506988+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rris0]]></tracker>
        <repository><![CDATA[https://github.com/Rris0/qgis_plugin_ML_generator_SR_CR]]></repository>
        <tags><![CDATA[cadastre,qgis,polygons,cartography,slovakia,map indexing,map sheets,sheet grid,czechia]]></tags>
        <downloads>64</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Service Access Mapper" version="1.1.0" plugin_id="4931">
        <description><![CDATA[Generate travel-time catchments (isochrones) to services using road networks, estimate population coverage using WorldPop data, and summarize statistics by admin boundaries.]]></description>
        <about><![CDATA[Service Access Mapper computes travel-time catchment areas (isochrones) around service points such as health facilities, schools, and other amenities using road network analysis.

Features:
- Travel-time and distance isochrone generation with customizable thresholds
- Three speed models: field-based, road class mapping (with Ghana defaults), constant
- Automatic WorldPop population raster download with country auto-detection
- Per-threshold population coverage breakdown (band and cumulative)
- Coverage statistics by administrative boundaries with population percentages
- Underserved area identification with population estimates
- Distance decay analysis from demand points to services
- Service point snapping to road networks
- Background processing with progress feedback
- Profile save/load for reusable configurations
- CSV export of admin and population statistics

No external Python packages required — uses only PyQGIS, QGIS Processing, and Python standard library.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Prymtym4eva/service_area_coverage]]></homepage>
        <file_name>service_access_mapper.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_v2WF1ig.png</icon>
        <author_name><![CDATA[Ben Emunah Aikins]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/service_access_mapper/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[prime002]]></uploaded_by>
        <create_date>2026-03-30T19:31:32.706932+00:00</create_date>
        <update_date>2026-03-30T19:31:34.547680+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Prymtym4eva/service_area_coverage/issues]]></tracker>
        <repository><![CDATA[https://github.com/Prymtym4eva/service_area_coverage]]></repository>
        <tags><![CDATA[network analysis,health,catchment,accessibility,isochrone,service area,travel time,population,worldpop,coverage,schools]]></tags>
        <downloads>137</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Center Point on Line" version="1.0" plugin_id="4933">
        <description><![CDATA[Generate center (centroid) point from line features using processing algorithm]]></description>
        <about><![CDATA[Center Point on Line is a lightweight QGIS plugin that generates center (centroid) points from line features. It fixes geometries, reprojects data, and calculates midpoint-based centroids automatically using QGIS processing tools.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnustupJana/CenterPointOnLine-plugin/#readme]]></homepage>
        <file_name>CenterPointOnLine.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_dJAThTs.png</icon>
        <author_name><![CDATA[Anustup Jana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CenterPointOnLine/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[anustup]]></uploaded_by>
        <create_date>2026-03-30T20:28:32.780322+00:00</create_date>
        <update_date>2026-03-30T20:28:34.894230+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnustupJana/CenterPointOnLine-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnustupJana/CenterPointOnLine-plugin]]></repository>
        <tags><![CDATA[vector,point,line,centroid,geometry,processing,midpoint]]></tags>
        <downloads>158</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Landuse Analyzer" version="0.1" plugin_id="4934">
        <description><![CDATA[Analyzes land use patterns within user-drawn polygons using OpenStreetMap data]]></description>
        <about><![CDATA[A QGIS plugin that analyzes land use patterns within user-drawn polygons using OpenStreetMap data. Extracts and classifies land use categories with area calculations and summary statistics.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/josephmjustin/landuse_analyzer]]></homepage>
        <file_name>landuse_analyzer.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Justin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/landuse_analyzer/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[josephmjustin]]></uploaded_by>
        <create_date>2026-03-30T21:08:15.220960+00:00</create_date>
        <update_date>2026-03-30T21:08:16.992911+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/josephmjustin/landuse_analyzer/issues]]></tracker>
        <repository><![CDATA[https://github.com/josephmjustin/landuse_analyzer]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>133</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LizPack Publisher" version="1.0.0" plugin_id="4935">
        <description><![CDATA[LizPack Publisher is a QGIS plugin that connects directly to your LizPack instance. It allows you to publish project folders, manage remote files via SFTP, download QGIS projects with all their dependencies, and import vector layers into your LizPack PostGIS database — all from within the QGIS interface. Streamline your web mapping workflow without switching between tools.]]></description>
        <about><![CDATA[LizPack Publisher connects QGIS to your LizPack instance, enabling you to publish project folders, manage remote files via SFTP, download QGIS projects with all their dependencies, and import vector layers into your LizPack PostGIS database. Simplify your web mapping workflow without ever leaving QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://lizpack.com]]></homepage>
        <file_name>lizpack_publisher.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_NEjeXli.svg</icon>
        <author_name><![CDATA[LizPack - GEODONNEE INC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lizpack_publisher/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[geodonnee]]></uploaded_by>
        <create_date>2026-03-30T21:08:30.374112+00:00</create_date>
        <update_date>2026-03-30T21:08:32.259006+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MarcellinOgma/lizpack_publisher/issues]]></tracker>
        <repository><![CDATA[https://github.com/MarcellinOgma/lizpack_publisher]]></repository>
        <tags><![CDATA[postgis,lizmap,3liz,postgresql,webgis,publish,qgis server,lizpack,osgeo]]></tags>
        <downloads>91</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Slider" version="1.1.0" plugin_id="4936">
        <description><![CDATA[Navigate and compose ordered layers with a slider, keyboard shortcuts, and dynamic raster compositing.]]></description>
        <about><![CDATA[Layer Slider is a QGIS plugin for navigating and composing ordered layers or layer groups with an intuitive slider, keyboard shortcuts, and dynamic layer compositing.

It is designed for any workflow where you need to flip through a sequence of layers — whether they represent increasing depth (e.g. GPR depth slices), successive points in time (e.g. historical satellite imagery), or alternative visualizations of the same area (e.g. DTM hillshade, slope, aspect). Key features include slider and keyboard navigation, dynamic averaged raster composites, full layer tree integration, caching, and GeoTIFF export.

For a demo, instructions and comparison to alternatives, see the homepage.

If you use Layer Slider in your academic work, please cite it:
Obermayer, M. (2026). Layer Slider – QGIS Plugin (v1.1.0). Zenodo. https://doi.org/10.5281/zenodo.19370739 . Available at: https://github.com/mobermayer/layer-slider

For collaboration and research- or software-related inquiries, visit my homepage https://mobermayer.at .]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mobermayer/layer-slider]]></homepage>
        <file_name>layer_slider.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_tGm0rls.png</icon>
        <author_name><![CDATA[Maximilian Obermayer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer_slider/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[mobermayer]]></uploaded_by>
        <create_date>2026-03-31T06:32:23.004874+00:00</create_date>
        <update_date>2026-04-01T14:45:41.600031+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mobermayer/layer-slider/issues]]></tracker>
        <repository><![CDATA[https://github.com/mobermayer/layer-slider]]></repository>
        <tags><![CDATA[raster,layer,time series,remote sensing,archaeology,navigation,slider,gpr,compositing,depth slices,ground penetrating radar]]></tags>
        <downloads>179</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Auto Polygon Snap" version="1.1" plugin_id="4937">
        <description><![CDATA[Align polygon boundaries instantly with intelligent snap tolerance. Works across layers or within same layer, automatically calculating optimal snap distance based on feature size and separation]]></description>
        <about><![CDATA[This plugin fixes alignment issues by snapping vertices to both nodes and segments.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rajeshraina/Auto-Polygon-Snap]]></homepage>
        <file_name>auto_polygon_snap_shp.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_Juls7Xm.png</icon>
        <author_name><![CDATA[Rajesh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/auto_polygon_snap_shp/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[rajeshmanasa]]></uploaded_by>
        <create_date>2026-03-31T08:35:33.881193+00:00</create_date>
        <update_date>2026-03-31T08:35:35.731867+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rajeshraina/Auto-Polygon-Snap/issues]]></tracker>
        <repository><![CDATA[https://github.com/rajeshraina/Auto-Polygon-Snap]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>305</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AI Edit by TerraLab" version="0.2.1" plugin_id="4938">
        <description><![CDATA[AI-powered image editing for geospatial (Nano Banana 2). Select a zone, describe the change, get a georeferenced result.]]></description>
        <about><![CDATA[• Select &amp; transform: draw a rectangle on your map, describe the change to AI with a prompt

• Works on any layer: local rasters (GeoTIFF, JPG, PNG) &amp; online layers (WMS, XYZ tiles)

• Georeferenced output: results are saved as GeoTIFF with full spatial metadata

• Prompt templates: clouds removal, vegetation, urban planning, flood simulation &amp; more

• Smart resolution: automatically adapts to your map&#x27;s zoom level

• Universal: Windows, macOS, Linux]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://terra-lab.ai/ai-edit]]></homepage>
        <file_name>AI_Edit.0.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_k5zriQr.png</icon>
        <author_name><![CDATA[Yvann and Lilien from TerraLab]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AI_Edit/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[lilienauger]]></uploaded_by>
        <create_date>2026-03-31T09:04:43.448805+00:00</create_date>
        <update_date>2026-04-15T15:47:44.047284+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TerraLabAI/QGIS_AI-Edit/issues]]></tracker>
        <repository><![CDATA[https://github.com/TerraLabAI/QGIS_AI-Edit]]></repository>
        <tags><![CDATA[python,raster,terrain,remote sensing,drone,satellite,automatic,vegetation,urban planning,machine learning,geotiff,deep learning,cloud removal,satellite imagery,artificial intelligence,automation,ai,flood simulation,interactive,ia,generative ai,image generation,image editing,nano banana]]></tags>
        <downloads>1343</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AboveQGIS" version="1.1.0" plugin_id="4939">
        <description><![CDATA[KyFromAbove LiDAR, DEM, and orthoimagery data access for QGIS]]></description>
        <about><![CDATA[Access Kentucky&#x27;s KyFromAbove geospatial data directly from QGIS.
Search by county or map extent, download tiles with concurrent transfers,
mosaic into VRT, and generate hillshade — all from the Processing toolbox.
Powered by abovepy. No credentials required.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://chrislyonsKY.github.io/AbovePy/]]></homepage>
        <file_name>aboveqgis.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_D1rd87d.png</icon>
        <author_name><![CDATA[Chris Lyons]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/aboveqgis/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[clyons]]></uploaded_by>
        <create_date>2026-03-31T12:17:43.367398+00:00</create_date>
        <update_date>2026-03-31T15:21:26.923305+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chrislyonsKY/AbovePy/issues]]></tracker>
        <repository><![CDATA[https://github.com/chrislyonsKY/AbovePy]]></repository>
        <tags><![CDATA[dem,elevation,lidar,stac,cog,kyfromabove,orthoimagery,kentucky]]></tags>
        <downloads>494</downloads>
        <average_vote>2.1663056157307112</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ineffable Tools" version="2.3.0" plugin_id="4940">
        <description><![CDATA[A comprehensive suite of QGIS tools for power grid and infrastructure workflows.]]></description>
        <about><![CDATA[Ineffable Tools combines multiple specialized plugins into a single unified toolkit.
It includes:
- Auto Layout Generator
- DEM Resampler &amp; Interpolator
- Canvas Color Extractor and Vector Smoother
- Crossing Angle Analyser
- Dynamic Route Checker
- Quick Reproject
- Tower Spotter

All tools are grouped under the &quot;Ineffable Tools&quot; menu and come with pre-configured
keyboard shortcuts for faster and more efficient workflows.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ineffablexd/ineffable_tools]]></homepage>
        <file_name>ineffable_tools_plugin.2.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_3HOnKjW.png</icon>
        <author_name><![CDATA[Vicky Sharma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ineffable_tools_plugin/version/2.3.0/download/</download_url>
        <uploaded_by><![CDATA[ineffable]]></uploaded_by>
        <create_date>2026-03-31T18:20:31.354885+00:00</create_date>
        <update_date>2026-03-31T18:20:33.185326+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ineffablexd/ineffable_tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/ineffablexd/ineffable_tools]]></repository>
        <tags><![CDATA[dem,tools,layout,reproject,shortcuts,transmission,tower,ineffable,powergrid]]></tags>
        <downloads>92</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Stereo MPI-RRIM Creator" version="1.1" plugin_id="4943">
        <description><![CDATA[Generate stereo MPI-RRIM from DEM / DEMからステレオMPI赤色立体地図を生成します]]></description>
        <about><![CDATA[This plugin generates a stereo morphometric protection index (MPI) red relief image maps (MPI-RRIMs) from a Digital Elevation Model (DEM). Please refer to &lt;a href=&quot;https://github.com/yiwasa/Stereo-MPI-RRIM-Creator&quot;&gt;the manual&lt;/a&gt; for details. If you use this plugin in your research, please cite Kaneda and Chiba (2019). / このプラグインは、DEM（デジタル標高モデル）からMPIと傾斜角を計算し、ステレオMPI赤色立体地図を生成する地形解析ツールです。詳しい操作方法は&lt;a href=&quot;https://github.com/yiwasa/Stereo-MPI-RRIM-Creator&quot;&gt;こちら&lt;/a&gt;。MPI赤色立体地図は以下の手法によって処理されています。このプラグインを使って論文を書く際にはKaneda and Chiba (2019)を引用してください。Kaneda, H. and Chiba, T. (2019). &lt;a href=&quot;https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/109/1/99/567965/Stereopaired-Morphometric-Protection-Index-Red?redirectedFrom=fulltext&quot;&gt;doi: 10.1785/0120180166&lt;/a&gt;. &lt;a href=&quot;https://civil.r.chuo-u.ac.jp/lab/geology/5_mrrim/mrrim.html&quot;&gt;Stereo MPI-RRIMs Calculator&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yiwasa/Stereo-MPI-RRIM-Creator]]></homepage>
        <file_name>mpi_rrim_plugin.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_WxwxgEl.png</icon>
        <author_name><![CDATA[Y. Iwasa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mpi_rrim_plugin/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[yiwasa]]></uploaded_by>
        <create_date>2026-04-01T01:41:07.256499+00:00</create_date>
        <update_date>2026-04-16T02:02:25.600002+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yiwasa/Stereo-MPI-RRIM-Creator]]></tracker>
        <repository><![CDATA[https://github.com/yiwasa/Stereo-MPI-RRIM-Creator]]></repository>
        <tags><![CDATA[python,raster,dem,terrain]]></tags>
        <downloads>184</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Stereo Image Viewer Plugin" version="1.1" plugin_id="4944">
        <description><![CDATA[Stereo Image Viewer / ステレオペア画像のビューア]]></description>
        <about><![CDATA[This plugin enables stereoscopic interpretation using stereo image pairs generated by plugins like Stereo MPI-RRIM Creator. Users can digitize during stereoscopic interpretation. / Stereo MPI-RRIM Creatorプラグインなどで生成したステレオペア画像を用いて実体視判読ができるプラグインです。実体視をしながらデジタイズすることができます。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yiwasa/Stereo-Image-Viewer]]></homepage>
        <file_name>stereo_viewer.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_ljAdJYA.png</icon>
        <author_name><![CDATA[Y. Iwasa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/stereo_viewer/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[yiwasa]]></uploaded_by>
        <create_date>2026-04-01T01:43:57.576290+00:00</create_date>
        <update_date>2026-04-16T01:13:57.227396+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yiwasa/Stereo-Image-Viewer]]></tracker>
        <repository><![CDATA[https://github.com/yiwasa/Stereo-Image-Viewer]]></repository>
        <tags><![CDATA[python,raster,dem,terrain]]></tags>
        <downloads>139</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Elevation Profile" version="1.9.2" plugin_id="4945">
        <description><![CDATA[High-Precision 2D Terrain Profiling Tool for RF Site Audit and Network Planning.]]></description>
        <about><![CDATA[Elevation Profile is an essential tool for Network Planning and Optimization (NPO) Engineers and GIS professionals. It allows users to instantly generate highly accurate 2D elevation profiles directly from loaded DEM/Raster data or Free Online APIs. Key features include:
* Online &amp; Offline DEM: Seamlessly switch between local offline Raster files or free global Online APIs (Open-Meteo 90m &amp; OpenTopoData 30m SRTM) without requiring any API keys.
* Dual Mode UI: Instantly toggle between Dark Mode and an elegant Ivory Light Mode to suit outdoor field work or late-night planning.
* Interactive Line Drawing: Draw a path on the map with real-time live tooltips displaying Azimuth and Distance, and instantly view the elevation cross-section to verify Line of Sight (LoS).
* Dynamic Terrain Smoothing: Adjust Sigma values on the fly to filter noise from raw DEM sources like AW3D30, DEMNAS, or SRTM.
* QGIS 4 Ready: Fully refactored to support PyQt6 while maintaining seamless backward compatibility with QGIS 3.x.
* Real-Time Summary: Automatically calculates total distance, minimum, maximum, and average elevation.
* High-Res Export: Export elevation profiles to PNG or scalable SVG formats for professional technical reporting.
Bridging the gap between GIS contour data and RF Planning workflows, this tool makes physical terrain analysis faster and more intuitive without needing heavy RF software.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/junethtea/elevation-profile]]></homepage>
        <file_name>elevation_profile.1.9.2.zip</file_name>
        <icon>/media/packages/2026/icon_HM1DTJM.png</icon>
        <author_name><![CDATA[Jujun Junaedi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/elevation_profile/version/1.9.2/download/</download_url>
        <uploaded_by><![CDATA[juneth]]></uploaded_by>
        <create_date>2026-04-01T06:56:18.988994+00:00</create_date>
        <update_date>2026-04-11T11:20:09.949180+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/junethtea/elevation-profile/issues]]></tracker>
        <repository><![CDATA[https://github.com/junethtea/elevation-profile]]></repository>
        <tags><![CDATA[profile,dem,terrain,elevation,srtm,network planning,telecommunications,npo,rf engineer,demnas,aw3d30,opentopodata]]></tags>
        <downloads>2076</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Azayaka" version="0.1" plugin_id="4947">
        <description><![CDATA[A plugin that processes Synthetic Aperture Rader data.]]></description>
        <about><![CDATA[Azayaka is a Python package for SAR (Synthetic Aperture Radar) processing and a simple InSAR Project. It focuses on geometry calculations for JAXA CEOS and SICD formats.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/syu-tan/azayaka]]></homepage>
        <file_name>src_azayaka_plugin.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_PVBu8Xm.png</icon>
        <author_name><![CDATA[Yasui Shusuke, Yutaka Yamamoto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/src_azayaka_plugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[syuchimu]]></uploaded_by>
        <create_date>2026-04-01T07:15:38.859766+00:00</create_date>
        <update_date>2026-04-01T07:15:40.719476+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/syu-tan/azayaka/issues]]></tracker>
        <repository><![CDATA[https://github.com/syu-tan/azayaka]]></repository>
        <tags><![CDATA[python,satellite,radar,SAR,CEOS,SICD]]></tags>
        <downloads>72</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>True</server>
    </pyqgis_plugin><pyqgis_plugin name="Bivariate QGIS Plugin" version="0.0.2" plugin_id="4948">
        <description><![CDATA[Ultimate bivariate mapping suite — 30 palettes, vector &amp; raster classification, QML styling, diamond &amp; square legend generators, and styled Leaflet web export.]]></description>
        <about><![CDATA[Provides Processing tools for bivariate choropleth mapping plus two custom Print Layout items (Bivariate Box Legend and Bivariate Diamond Legend) accessible from the Layout Add Item menu.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Heed725/Bivariate-Qgis-Plugin]]></homepage>
        <file_name>bivariate_plugin.0.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_ciueud8.png</icon>
        <author_name><![CDATA[Hemed Lungo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bivariate_plugin/version/0.0.2/download/</download_url>
        <uploaded_by><![CDATA[h9212]]></uploaded_by>
        <create_date>2026-04-01T07:27:22.369811+00:00</create_date>
        <update_date>2026-04-11T17:39:12.898007+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Heed725/Bivariate-Qgis-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Heed725/Bivariate-Qgis-Plugin]]></repository>
        <tags><![CDATA[vector,raster,legend,style,leaflet,mapping,cartography,choropleth,diamond,bivariate]]></tags>
        <downloads>235</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Landcover Encoding Plugin" version="1.0.0" plugin_id="4949">
        <description><![CDATA[Assigns each polygon the dominant and subdominant land cover class from an underlying raster with proportional coverage percentages. Includes a built-in land cover legend (34 classes) with optional custom CSV override.]]></description>
        <about><![CDATA[A processing-based plugin for land cover classification of segmented polygons. For each polygon in a vector layer, the tool extracts raster pixel values, computes the majority (dominant) and second-majority (subdominant) classes, and resolves class labels from a built-in legend or a user-supplied CSV. Invalid geometries are repaired automatically. CRS mismatches are handled on the fly.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Santhosh-M31/landcover-encoding-plugin]]></homepage>
        <file_name>landcover_encoding_plugin.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_Yn0WLRb.png</icon>
        <author_name><![CDATA[Santhosh M]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/landcover_encoding_plugin/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[santhoshm31]]></uploaded_by>
        <create_date>2026-04-01T08:13:41.406950+00:00</create_date>
        <update_date>2026-04-01T08:13:43.185446+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Santhosh-M31/landcover-encoding-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Santhosh-M31/landcover-encoding-plugin]]></repository>
        <tags><![CDATA[vector,raster,land cover,classification,segmentation,zonal,majority]]></tags>
        <downloads>98</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickSector" version="2.3" plugin_id="4952">
        <description><![CDATA[Generate RF sector polygons in seconds inside QGIS. Designed for telecom engineers to automate sector creation.]]></description>
        <about><![CDATA[QuickSector is part of the Tofreq ecosystem, built for RF engineers who want to create sector polygons quickly and accurately inside QGIS.
Key Features:
- Generate sector polygons from site parameters
- Adjustable azimuth, beamwidth, and tilt
- Add sectors to any existing QGIS layer
- Clean KML export with popup tables
- Designed for real-world RF planning workflows
Workflow:
- Select or import site data
- Generate sector polygons instantly
- Adjust parameters directly in QGIS
- Export results for visualization and reporting
Support: https://buymeacoffee.com/nattawutpr]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://tofreq.com/]]></homepage>
        <file_name>quick_sector.2.3.zip</file_name>
        <icon>/media/packages/2026/icon_I6aOqQ9.png</icon>
        <author_name><![CDATA[Nattawut Prommayom]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick_sector/version/2.3/download/</download_url>
        <uploaded_by><![CDATA[nattawutpr]]></uploaded_by>
        <create_date>2026-04-01T09:25:23.222638+00:00</create_date>
        <update_date>2026-04-08T14:53:21.146173+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://tofreq.com/]]></tracker>
        <repository><![CDATA[https://tofreq.com/]]></repository>
        <tags><![CDATA[workflow,qgis,sector,planning,automation,coverage,telecom,rf,antenna]]></tags>
        <downloads>332</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Discrete Proximity Framework" version="0.1.8" plugin_id="4953">
        <description><![CDATA[QGIS plugin for reachability and distance analysis using Origin-Destination Matrices (ODM)]]></description>
        <about><![CDATA[Multiple reachability analysis tools supporting Active Mobility, Public Transport, Combined Multimodal models, and POI-based analysis]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/inphysica/DiscreteProximityFramework]]></homepage>
        <file_name>DiscreteProximityFramework.0.1.8.zip</file_name>
        <icon>/media/packages/2026/CombinedDistanceMap.png</icon>
        <author_name><![CDATA[inphysica technology]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DiscreteProximityFramework/version/0.1.8/download/</download_url>
        <uploaded_by><![CDATA[inphysica]]></uploaded_by>
        <create_date>2026-04-01T09:45:17.518132+00:00</create_date>
        <update_date>2026-04-01T09:45:19.295521+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/inphysica/DiscreteProximityFramework/issues]]></tracker>
        <repository><![CDATA[https://github.com/inphysica/DiscreteProximityFramework]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>59</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="scan_qt6_compat" version="1.2" plugin_id="4956">
        <description><![CDATA[This plugin scans a QGIS 3 plugin and makes the necessary modifications to allow it to work together on both QGIS 3 and QGIS 4.]]></description>
        <about><![CDATA[This plugin scans a QGIS 3 plugin and makes the necessary modifications to allow it to function together on both QGIS 3 and QGIS 4. A complete report of the changes made is generated afterward.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fthvd]]></homepage>
        <file_name>scan_qt6_compat.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_l5PPVbj.svg</icon>
        <author_name><![CDATA[François THEVAND]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/scan_qt6_compat/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[fthvd]]></uploaded_by>
        <create_date>2026-04-01T17:49:45.628824+00:00</create_date>
        <update_date>2026-04-17T12:59:44.784066+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fthvd/scan_qt6_compatibility/issues]]></tracker>
        <repository><![CDATA[https://github.com/fthvd/scan_qt6_compatibility]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>281</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Aerodrome_Spatial_Planner" version="1.0" plugin_id="4957">
        <description><![CDATA[A QGIS plugin based on ICAO airport runway planning and site feasibility analysis. This plugin provides a full suite for airport runway planning inspired from ICAO Annex 14 and Doc 9157.]]></description>
        <about><![CDATA[A QGIS plugin based on ICAO airport runway planning and site feasibility analysis. It fetches historical weather data from the Open-Meteo API, performs wind analysis, calculates runway length and declared distances, generates obstacle limitation surfaces, and produces GeoPackage outputs, maps, and compliance reports. Disclaimer: This plugin implements algorithms based on ICAO Annex 14 and Doc 9157 design parameters. It does not include, reproduce or distribute any ICAO copyrighted documents. Users must obtain official ICAO publications independently for compliance verification. This plugin is for educational and planning assistance purposes only. It is not an official ICAO product and is not certified by any aviation authority. The ICAO standards referenced are based on publicly available information (Annex 14, Doc 9157) and the user is responsible for verifying all outputs with official aerodrome design requirements. The author does not claim ownership of ICAO intellectual property; all ICAO material used is for reference only under fair use for educational purposes.
Install Dependencies in OSGEO4W with this command:  
pip install numpy pandas requests rasterio geopandas shapely pyproj geographiclib matplotlib scipy openpyxl reportlab

Watch tutorial- https://youtu.be/WoMGmBmxFoo?si=dPDysez8529-U2rm]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rahulpandey696/Aerodrome-Spatial-Planner/]]></homepage>
        <file_name>AerodromeSpatialPlanner.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_uiSOu3J.png</icon>
        <author_name><![CDATA[Rahul Pandey]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AerodromeSpatialPlanner/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[rahulpandey696]]></uploaded_by>
        <create_date>2026-04-01T18:10:21.686256+00:00</create_date>
        <update_date>2026-04-01T18:10:23.512516+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rahulpandey696/Aerodrome-Spatial-Planner/]]></tracker>
        <repository><![CDATA[https://github.com/rahulpandey696/Aerodrome-Spatial-Planner/tree/main]]></repository>
        <tags><![CDATA[planning,aviation,icao,runway,ols,wind analysis,airport,lighting,obstacle limitation,flight plan,aerodrome]]></tags>
        <downloads>253</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Show And Hide" version="1.2.2" plugin_id="4958">
        <description><![CDATA[A simple plugin that allows you to turn visible vector, raster and point cloud layers on and off.
The plugin remembers the state of layers and turns off/on only those that were originally active.]]></description>
        <about><![CDATA[A simple plugin that allows you to turn visible vector, raster and point cloud layers on and off.
The plugin remembers the state of layers and turns off/on only those that were originally active.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/XmaziaX/ShowAndHide/blob/main/README.md]]></homepage>
        <file_name>ShowAndHide.1.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_9ae6sWN.svg</icon>
        <author_name><![CDATA[Tomasz Mazuga]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ShowAndHide/version/1.2.2/download/</download_url>
        <uploaded_by><![CDATA[tmazuga]]></uploaded_by>
        <create_date>2026-04-02T14:11:13.169797+00:00</create_date>
        <update_date>2026-04-02T14:33:21.285336+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/XmaziaX/ShowAndHide/issues]]></tracker>
        <repository><![CDATA[https://github.com/XmaziaX/ShowAndHide]]></repository>
        <tags><![CDATA[vector,python,raster,hide,show]]></tags>
        <downloads>108</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Self Intersection Check" version="0.1" plugin_id="4960">
        <description><![CDATA[A QGIS plugin to check for self-intersections and overlaps in polygon layers.]]></description>
        <about><![CDATA[This plugin provides a Processing algorithm to identify self-intersections and overlaps in polygon layers, outputting invalid features with a reason.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnustupJana/SelfIntersection-plugin/#readme]]></homepage>
        <file_name>self_intersection_plugin.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_9upMIbc.png</icon>
        <author_name><![CDATA[Anustup Jana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/self_intersection_plugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[anustup]]></uploaded_by>
        <create_date>2026-04-02T14:51:10.443714+00:00</create_date>
        <update_date>2026-04-02T14:51:12.288304+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnustupJana/SelfIntersection-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnustupJana/SelfIntersection-plugin]]></repository>
        <tags><![CDATA[vector,intersection,polygon,topology,overlap,auto correction]]></tags>
        <downloads>163</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Viewshed Calculator" version="1.1.0" plugin_id="4961">
        <description><![CDATA[Calculate viewshed from DSM using project layers, file inputs, or generated viewpoint grids with optional CHM validation]]></description>
        <about><![CDATA[This plugin calculates visibility analysis (viewshed) from Digital Surface Models (DSM) based on observer points from files or QGIS project layers. It supports optional Canopy Height Model (CHM) validation, can generate viewpoint grids from an extent or polygon source, and outputs results as a GeoTIFF raster showing maximum visible area per cell.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/annadeckmyn/viewshed_calculator_plugin]]></homepage>
        <file_name>viewshed_calculator_plugin.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_cVHZVHM.png</icon>
        <author_name><![CDATA[Anna Deckmyn]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/viewshed_calculator_plugin/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[annadeckmyn]]></uploaded_by>
        <create_date>2026-04-02T19:27:10.452710+00:00</create_date>
        <update_date>2026-04-02T19:27:12.392393+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/annadeckmyn/viewshed_calculator_plugin]]></tracker>
        <repository><![CDATA[https://github.com/annadeckmyn/viewshed_calculator_plugin]]></repository>
        <tags><![CDATA[raster,dem,visibility,grid,layers,viewshed,extent,qgis,dsm,spatial-analysis]]></tags>
        <downloads>290</downloads>
        <average_vote>0.9995002498750625</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dynamic Distance Buffer Tool" version="1.0.0" plugin_id="4962">
        <description><![CDATA[Generate multiple concentric buffer rings at dynamic user-defined distances.]]></description>
        <about><![CDATA[Creates non-overlapping ring (donut) or cumulative disc buffers around
point, line, or polygon features. Distances can be entered manually as a
comma-separated list or read dynamically from a numeric attribute field.
Fully integrated with the QGIS Processing Framework.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Prymtym4eva/dynamic_distance_buffer]]></homepage>
        <file_name>dynamic_distance_buffer_tool.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_ZzDWNR7.png</icon>
        <author_name><![CDATA[Ben Emunah Aikins]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dynamic_distance_buffer_tool/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[prime002]]></uploaded_by>
        <create_date>2026-04-02T23:01:02.622931+00:00</create_date>
        <update_date>2026-04-02T23:01:04.473471+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Prymtym4eva/dynamic_distance_buffer/issues]]></tracker>
        <repository><![CDATA[https://github.com/Prymtym4eva/dynamic_distance_buffer]]></repository>
        <tags><![CDATA[distance,analysis,buffer,multiple,ring,dynamic,proximity,donut,concentric]]></tags>
        <downloads>158</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OSM Extractor by Jambar Lab" version="3.1" plugin_id="4963">
        <description><![CDATA[Extract OpenStreetMap data (roads, waterways, buildings, schools, health facilities) from any layer extent. Works worldwide.]]></description>
        <about><![CDATA[OSM Extractor by Jambar Lab lets you extract OpenStreetMap data directly into QGIS from any vector layer extent — no manual download needed. Supported data types: roads, waterways, buildings, schools and health facilities. Data is fetched via the Overpass API, converted to vector layers, and optionally clipped to the exact boundary. Designed for reliable use in any network condition, from high-speed connections to low-bandwidth field environments. Works anywhere in the world. Compatible with QGIS 3.16 and above, including QGIS 4.x.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/saliougeodataimpactsn-jl/osm-extractor-qgis]]></homepage>
        <file_name>osm_extractor_jambar.3.1.zip</file_name>
        <icon>/media/packages/2026/icon_qelvx2z.png</icon>
        <author_name><![CDATA[Jambar Lab]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/osm_extractor_jambar/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[saliou]]></uploaded_by>
        <create_date>2026-04-03T00:07:39.587618+00:00</create_date>
        <update_date>2026-04-03T00:07:41.462232+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/saliougeodataimpactsn-jl/osm-extractor-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/saliougeodataimpactsn-jl/osm-extractor-qgis]]></repository>
        <tags><![CDATA[vector,extraction,buildings,openstreetmap,osm,roads,health,download,overpass,schools,waterways]]></tags>
        <downloads>1085</downloads>
        <average_vote>4.221753138540162</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Black Frame Remover" version="1.0.0" plugin_id="4964">
        <description><![CDATA[Removes the black border/frame from georeferenced rasters and aerial imagery using Clip by Mask Layer with alpha channel transparency.]]></description>
        <about><![CDATA[When georeferencing old maps or aerial imagery in QGIS, the output raster often has an unwanted black frame around the actual image content. This plugin automates the removal by detecting the valid image area, generating a mask polygon, and clipping the raster with alpha transparency. Replicating the manual workflow of Raster &gt; Extraction &gt; Clip Raster by Mask Layer with the alpha channel box ticked.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Oseiprince4567/Black-Frame-Remover]]></homepage>
        <file_name>black_frame_remover.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_LJswuhH.png</icon>
        <author_name><![CDATA[Prince Osei Boateng]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/black_frame_remover/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[93oseiprince]]></uploaded_by>
        <create_date>2026-04-03T08:59:53.734034+00:00</create_date>
        <update_date>2026-04-03T08:59:55.592619+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Oseiprince4567/Black-Frame-Remover/issues]]></tracker>
        <repository><![CDATA[https://github.com/Oseiprince4567/Black-Frame-Remover]]></repository>
        <tags><![CDATA[raster,remote sensing,clip,georeferencing,nodata,historical maps,black frame,aerial imagery,ordnance]]></tags>
        <downloads>222</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoExtractor" version="1.0" plugin_id="4966">
        <description><![CDATA[One-click extraction of OpenStreetMap data with automatic download, processing, and clipping.]]></description>
        <about><![CDATA[GeoExtractor is a QGIS plugin that allows users to easily extract OpenStreetMap data within a selected area. It automates the entire workflow including data retrieval via Overpass API, conversion to GeoJSON, and clipping to a user-defined boundary.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/clementmab/geo_extractor]]></homepage>
        <file_name>geo_extractor.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_EiroSFA.png</icon>
        <author_name><![CDATA[Mabika Clément]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo_extractor/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[geo1]]></uploaded_by>
        <create_date>2026-04-03T15:19:37.862154+00:00</create_date>
        <update_date>2026-04-03T15:19:39.678579+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/clementmab/geo_extractor/issues]]></tracker>
        <repository><![CDATA[https://github.com/clementmab/geo_extractor.git]]></repository>
        <tags><![CDATA[openstreetmap,osm,clip,extract,gis]]></tags>
        <downloads>497</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoSeg Studio" version="1.0.0" plugin_id="4967">
        <description><![CDATA[Full-pipeline deep learning semantic segmentation for geospatial raster data.]]></description>
        <about><![CDATA[GeoSeg Studio is a complete deep learning segmentation environment for QGIS. It covers the full workflow in one plugin: prepare training data (clip, split, augment), train your own segmentation model, evaluate performance, run predictions on new rasters, and post-process vector outputs — all without leaving QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dronnix-io/GeoSegStudio]]></homepage>
        <file_name>GeoSegStudio.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_uj4Vhnf.png</icon>
        <author_name><![CDATA[Salar Ghaffarian]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoSegStudio/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[salarghaffarian]]></uploaded_by>
        <create_date>2026-04-03T15:55:01.069619+00:00</create_date>
        <update_date>2026-04-04T22:31:24.076373+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dronnix-io/GeoSegStudio/issues]]></tracker>
        <repository><![CDATA[https://github.com/dronnix-io/GeoSegStudio.git]]></repository>
        <tags><![CDATA[raster,remote sensing,training,segmentation,deep learning,neural network,ai,semantic segmentation,pytorch,u-net]]></tags>
        <downloads>109</downloads>
        <average_vote>4.374817715928502</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spatial Relationship Mapper" version="1.0" plugin_id="4968">
        <description><![CDATA[Creates spatial relationships between two polygon layers and links their attributes]]></description>
        <about><![CDATA[Spatial Relationship Mapper is a QGIS processing plugin designed to establish and analyze spatial relationships between two polygon layers. The tool allows users to select any two input layers along with their respective unique ID fields, and automatically detects intersecting features using an optimized spatial indexing approach. The plugin generates two output layers, where each feature contains a new attribute field (&quot;related_ids&quot;) that stores the IDs of intersecting features from the opposite layer. This enables efficient mapping of one-to-one, one-to-many, or many-to-many spatial relationships. It is particularly useful in workflows such as parcel-to-building mapping, land use analysis, asset management, zoning validation, and urban planning. The plugin supports both temporary and permanent outputs, integrates seamlessly with the QGIS Processing Toolbox, and is designed for performance, accuracy, and ease of use. This plugin is ideal for GIS analysts, planners, and developers who need a quick and reliable way to generate spatial relationships between polygon datasets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnustupJana/SpatialRelationshipMapper-plugin/#readme]]></homepage>
        <file_name>spatial_relationship_mapper.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_ISUt44F.png</icon>
        <author_name><![CDATA[Anustup Jana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spatial_relationship_mapper/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[anustup]]></uploaded_by>
        <create_date>2026-04-03T19:54:49.194552+00:00</create_date>
        <update_date>2026-04-03T19:54:51.047343+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnustupJana/SpatialRelationshipMapper-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnustupJana/SpatialRelationshipMapper-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>108</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickSite" version="2.4" plugin_id="4971">
        <description><![CDATA[Bulk RF site automation in QGIS — generate multi-layer networks from CSV and export complete projects in seconds.]]></description>
        <about><![CDATA[QuickSite is part of the Tofreq ecosystem, built for RF engineers who want to automate large-scale network design inside QGIS.
Key Features:
- Generate multi-site networks instantly from CSV
- Automatic multi-band layer creation (2G/3G/4G/5G)
- Customize radius, color, and opacity per band
- Export all layers into a single KML with folder structure
- Built for large-scale RF planning workflows
Workflow:
- Import CSV to generate full network layers
- Use QuickSector to add or adjust sectors
- Export the entire project as a clean KML]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tofreq/quicksite]]></homepage>
        <file_name>QuickSite.2.4.zip</file_name>
        <icon>/media/packages/2026/icon_m4Bfui8.png</icon>
        <author_name><![CDATA[Nattawut Prommayom]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickSite/version/2.4/download/</download_url>
        <uploaded_by><![CDATA[nattawutpr]]></uploaded_by>
        <create_date>2026-04-05T08:48:05.301023+00:00</create_date>
        <update_date>2026-04-09T04:49:01.224820+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tofreq/quicksite/issues]]></tracker>
        <repository><![CDATA[https://github.com/tofreq/quicksite]]></repository>
        <tags><![CDATA[kml,csv,qgis,automation,telecom,4g,rf,5g,network planning,rf engineering]]></tags>
        <downloads>132</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PlanX" version="1.0.3" plugin_id="4973">
        <description><![CDATA[PlanX is a comprehensive suite of spatial-planning tools for QGIS. It provides modules for data import, advanced spatial statistics, zoning-rule workflows, and urban-design analyses.]]></description>
        <about><![CDATA[PlanX equips city-planners and GIS professionals with a modular toolbox for Turkish and international planning tasks. Each sub-plugin offers a guided UI, robust error handling, and silent-mode batch capabilities, logically organized under a single PlanX menu.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/YusufEminoglu/PlanX]]></homepage>
        <file_name>planx.1.0.3.zip</file_name>
        <icon>/media/packages/2026/planx_z7kuTYh.png</icon>
        <author_name><![CDATA[Yusuf Eminoglu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/planx/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[geo140195philo]]></uploaded_by>
        <create_date>2026-04-05T15:29:27.631303+00:00</create_date>
        <update_date>2026-04-11T15:03:14.937829+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/YusufEminoglu/PlanX/issues]]></tracker>
        <repository><![CDATA[https://github.com/YusufEminoglu/PlanX]]></repository>
        <tags><![CDATA[processing,qgis,urban planning,zoning,planx,spatial statistics]]></tags>
        <downloads>88</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PlanX CAD Toolset" version="1.1.0" plugin_id="4974">
        <description><![CDATA[Lightweight and fast CAD toolset for urban planning processes in QGIS. Features include drawing, editing, transforming, measuring, and road platform design.]]></description>
        <about><![CDATA[PlanX CAD Toolset is a lightweight, fast, and modular QGIS plugin explicitly designed for urban planning processes.
It brings 18+ CAD-like features direct to QGIS including Line, Polyline, Rectangle, Polygon, Circle, Arc, Offset, Trim, Extend, Fillet, and more.
It includes a modern dockable panel UI, native snapping support, and an interactive road platform creation tool.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/YusufEminoglu/PlanX-CAD]]></homepage>
        <file_name>planX_CAD_arac_Seti.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_main.svg</icon>
        <author_name><![CDATA[Yusuf Eminoglu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/planX_CAD_arac_Seti/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[geo140195philo]]></uploaded_by>
        <create_date>2026-04-05T15:30:36.772196+00:00</create_date>
        <update_date>2026-04-05T15:30:38.502751+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/YusufEminoglu/PlanX-CAD/issues]]></tracker>
        <repository><![CDATA[https://github.com/YusufEminoglu/PlanX-CAD]]></repository>
        <tags><![CDATA[editing,cad,road,drawing,urban planning,city planning,sketcher]]></tags>
        <downloads>268</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SVG Export" version="0.5.2" plugin_id="4977">
        <description><![CDATA[Export vector layers to SVG with per-feature IDs and an optional interactive HTML companion]]></description>
        <about><![CDATA[Exports selected QGIS vector layers to a single SVG file. Each feature gets an ID attribute derived from a chosen field, making the SVG easy to style or script in vector editors and browsers. Optionally generates an interactive HTML file with click-to-highlight and search functionality.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/peppo/svgexport]]></homepage>
        <file_name>svgexport.0.5.2.zip</file_name>
        <icon>/media/packages/2026/icon_yt1FJuL.svg</icon>
        <author_name><![CDATA[Peppo Herney]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/svgexport/version/0.5.2/download/</download_url>
        <uploaded_by><![CDATA[peppo]]></uploaded_by>
        <create_date>2026-04-05T16:54:54.562172+00:00</create_date>
        <update_date>2026-04-15T18:31:36.866588+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/peppo/svgexport/issues]]></tracker>
        <repository><![CDATA[https://github.com/peppo/svgexport]]></repository>
        <tags><![CDATA[vector,html,svg,export]]></tags>
        <downloads>333</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CoMapeo Map Builder" version="0.7.1" plugin_id="4978">
        <description><![CDATA[Generates SMP files for CoMapeo using proper XYZ Web Mercator tiling]]></description>
        <about><![CDATA[Generates XYZ-compliant SMP (Styled Map Package) files for CoMapeo. Uses proper Web Mercator projection and standard tiling scheme compatible with OpenStreetMap, MapLibre, and other mapping systems.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/digidem/qgis-smp-plugin]]></homepage>
        <file_name>comapeo_smp.0.7.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Awana Digital]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/comapeo_smp/version/0.7.1/download/</download_url>
        <uploaded_by><![CDATA[luandro]]></uploaded_by>
        <create_date>2026-04-06T14:21:59.562540+00:00</create_date>
        <update_date>2026-04-12T04:58:54.661023+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/digidem/qgis-smp-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/digidem/qgis-smp-plugin]]></repository>
        <tags><![CDATA[python,offline,maplibre,comapeo,raster tiles]]></tags>
        <downloads>144</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MEMO Groundwater Network Design" version="1.1" plugin_id="4979">
        <description><![CDATA[Evaluates groundwater monitoring well network efficiency based on the Domenico model. / 用於評估地下水監測井網路效率與視覺化盲區的專業套件。]]></description>
        <about><![CDATA[A professional tool that evaluates the monitoring efficiency and blind spots of groundwater well networks based on the Domenico analytical transport model. It features dynamic grid scanning and one-click GeoPackage export.

---

本套件基於 Domenico 傳輸方程式，專為環境工程與地下水污染場址評估設計。
核心功能包含：
1. 自動計算潛在污染源網格點與監測井攔截效率。
2. 支援自訂水文地質參數與地下水流向角度設定。
3. 自動生成流向箭頭、視覺化紅綠偵測點位。
4. 自動繪製「未偵測盲區多邊形」並精算盲區總面積。
5. 一鍵匯出中英雙語模擬參數與結果摘要報告。
適用於各類土壤及地下水污染調查、整治專案與計畫書撰寫之科學佐證。]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rationtai-byte/MEMO-QGIS-Plugin]]></homepage>
        <file_name>MEMO_Plugin.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_lwNoAXL.png</icon>
        <author_name><![CDATA[RayTai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MEMO_Plugin/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[rationtai]]></uploaded_by>
        <create_date>2026-04-06T15:01:22.828244+00:00</create_date>
        <update_date>2026-04-07T18:31:45.288840+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rationtai-byte/MEMO-QGIS-Plugin]]></tracker>
        <repository><![CDATA[https://github.com/rationtai-byte/MEMO-QGIS-Plugin]]></repository>
        <tags><![CDATA[pollution,groundwater,environment,monitoring,domenico,plume]]></tags>
        <downloads>88</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cluster Generator" version="1.0.0" plugin_id="4980">
        <description><![CDATA[Creates cluster polygons from point, line, and polygon layers using an optional attribute field.]]></description>
        <about><![CDATA[Cluster Generator creates cluster polygons from point, line, and polygon input layers. Clusters can be generated from an attribute field or, if no attribute is selected, as a single cluster for the whole layer. The plugin supports optional boundary clipping, temporary or saved outputs, categorized styling, labeling from the name field, and selected-features workflows. The current package is intended for QGIS 3.x and QGIS 4.x.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Senolbaskaya/cluster_generator]]></homepage>
        <file_name>cluster_generator.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_tgsTrcC.png</icon>
        <author_name><![CDATA[Senol Baskaya]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cluster_generator/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[senolbaskaya]]></uploaded_by>
        <create_date>2026-04-06T22:29:48.995423+00:00</create_date>
        <update_date>2026-04-06T22:34:52.540790+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Senolbaskaya/cluster_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Senolbaskaya/cluster_generator]]></repository>
        <tags><![CDATA[vector,network,points,topology,boundary,lines,clustering,cluster,voronoi,polygons,planning,utilities]]></tags>
        <downloads>257</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoLineage" version="0.7.0" plugin_id="4981">
        <description><![CDATA[Track data lineage in GeoPackage files — records processing, edits, and exports automatically.]]></description>
        <about><![CDATA[GeoLineage embeds lineage metadata directly inside GeoPackage files. Every processing step, manual edit, and file export is recorded in a _lineage table, creating a permanent chain of custody for geospatial data. The plugin intercepts QGIS processing operations, tracks manual edits, and detects exports — all without modifying existing data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rafdouglas/GeoLineage]]></homepage>
        <file_name>GeoLineage.0.7.0.zip</file_name>
        <icon>/media/packages/2026/GeoLineage_logo_1LFtuIq.png</icon>
        <author_name><![CDATA[RafDouglas C. Tommasi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoLineage/version/0.7.0/download/</download_url>
        <uploaded_by><![CDATA[rafdouglas]]></uploaded_by>
        <create_date>2026-04-07T07:46:24.128746+00:00</create_date>
        <update_date>2026-04-14T08:49:38.119952+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rafdouglas/GeoLineage/issues]]></tracker>
        <repository><![CDATA[https://github.com/rafdouglas/GeoLineage]]></repository>
        <tags><![CDATA[metadata,tracking,geopackage,provenance,lineage]]></tags>
        <downloads>244</downloads>
        <average_vote>4.999545495864012</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Macro" version="0.1.0" plugin_id="4985">
        <description><![CDATA[Tool and library to create macros in QGIS]]></description>
        <about><![CDATA[This plugin adds a Macro panel into the Debugging/Development Tools dock widget to record and play various macros.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://macro-qgis-plugin.readthedocs.io]]></homepage>
        <file_name>macro_plugin.0.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_tI3ohbE.svg</icon>
        <author_name><![CDATA[Joonalai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/macro_plugin/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[joonala]]></uploaded_by>
        <create_date>2026-04-07T20:54:22.437105+00:00</create_date>
        <update_date>2026-04-07T20:54:24.255851+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Joonalai/macro-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Joonalai/macro-qgis-plugin]]></repository>
        <tags><![CDATA[development,performance,automation,automate,task,macro]]></tags>
        <downloads>150</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="txt2tif DEM builder" version="1.1.0" plugin_id="4986">
        <description><![CDATA[G空間情報センター等でダウンロードできるtxt/csv形式のDEMをgeotiff形式に変換するプラグインです。
This plugin converts DEM data in txt/csv format (e.g., from the Geospatial Information Center) to GeoTIFF.]]></description>
        <about><![CDATA[このプラグインは、G空間情報センターなどからダウンロードできる DEM の txt/csv ファイルを、GeoTIFF 形式に変換するためのツールです。 複数の txt/csv ファイルを 1 つのフォルダにまとめて入力することで、それらを自動的に結合した DEM（マージ済み GeoTIFF）を出力することもできます。 なお、txt に含まれる各点の座標は、出力される GeoTIFF のラスタセルの中心に対応するように設定されています。
This plugin converts DEM data in txt/csv format (e.g., downloaded from the Geospatial Information Center) into GeoTIFF. Multiple txt/csv files in a folder can be processed together and merged into a single DEM (merged GeoTIFF). The coordinates of each input point are mapped to the center of the output raster cells.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mizuki011124/txt_2_tif_dem_builder]]></homepage>
        <file_name>txt_2_tif_dem_builder.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_C4Y4TVL.png</icon>
        <author_name><![CDATA[Mizuki TAKIGAWA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/txt_2_tif_dem_builder/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[mizuki011124]]></uploaded_by>
        <create_date>2026-04-08T07:36:18.015165+00:00</create_date>
        <update_date>2026-04-11T06:39:05.127433+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mizuki011124/txt_2_tif_dem_builder/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mizuki011124/txt_2_tif_dem_builder]]></repository>
        <tags><![CDATA[dem,csv,txt,tif,geotiff,標高,g空間情報センター]]></tags>
        <downloads>115</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Delft3D File Manager" version="9.1.4" plugin_id="4988">
        <description><![CDATA[Imports and exports Delft3D files. Supports fixed-weir (.fxw), polyline (.pli/.ldb/.pol/.pliz), and UGRID mesh NetCDF files.]]></description>
        <about><![CDATA[Reads Delft3D fixed-weir and polyline files into line/point layers; exports line layers to polyline format; writes elevation data to UGRID mesh files.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/V-Chavarrias/Delft3D_File_Manager]]></homepage>
        <file_name>Delft3DFileManager.9.1.4.zip</file_name>
        <icon>/media/packages/2026/icon_04kzKba.svg</icon>
        <author_name><![CDATA[Victor Chavarrias]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Delft3DFileManager/version/9.1.4/download/</download_url>
        <uploaded_by><![CDATA[chavarrias]]></uploaded_by>
        <create_date>2026-04-09T11:36:42.755557+00:00</create_date>
        <update_date>2026-04-09T11:36:44.618126+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/V-Chavarrias/Delft3D_File_Manager]]></tracker>
        <repository><![CDATA[https://github.com/V-Chavarrias/Delft3D_File_Manager]]></repository>
        <tags><![CDATA[export,netcdf,import,mesh,weir,ugrid,delft3d]]></tags>
        <downloads>59</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick Road Network Path AI" version="1.0.0" plugin_id="4989">
        <description><![CDATA[Compute the fastest path between two points on a road network using the A* algorithm with optional boundary filtering and export options.]]></description>
        <about><![CDATA[Quick Road Network Path AI is a QGIS plugin that converts a road network into a graph and calculates the optimal route between two user-defined points using the A* algorithm. The plugin supports snapping, travel time estimation based on speed attributes, and export to GeoPackage or Shapefile.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/demetrapappa14-geospatial/quickRoadNetworkPathAI]]></homepage>
        <file_name>quickRoadNetworkPathAI.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_jK7EMkT.png</icon>
        <author_name><![CDATA[Dimitra Pappa geospatial]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quickRoadNetworkPathAI/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[dimitrapappa]]></uploaded_by>
        <create_date>2026-04-09T19:31:09.322145+00:00</create_date>
        <update_date>2026-04-09T19:31:11.110518+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/demetrapappa14-geospatial/quickRoadNetworkPathAI/issues]]></tracker>
        <repository><![CDATA[https://github.com/demetrapappa14-geospatial/quickRoadNetworkPathAI]]></repository>
        <tags><![CDATA[network analysis,routing,geospatial,shortest path,qgis plugin,a*,road network]]></tags>
        <downloads>89</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="APRIORA" version="1.0.0" plugin_id="4990">
        <description><![CDATA[Estimation of flow and concentration of Active Pharmaceutical Ingredients (API) in a catchment.]]></description>
        <about><![CDATA[This plugin contains a series of tools divided into two subgroups: Hydro-Module and API emission.
Hydro-Module -&gt; useful to estimate annual mean flow and annual mean low flow in ungauged subcatchments.
API emission -&gt; calculate the load of API from waste water treatment plants and their concentration in the river network.
Finally, a risk assessment is performed.
External dependencies: requires the Python libraries &#x27;numpy&#x27;, &#x27;pandas&#x27; and &#x27;scikit-learn&#x27;.
numpy and pandas are typically pre-installed with QGIS. To install scikit-learn, open the
OSGeo4W Shell and run: python -m pip install scikit-learn
(for Windows see: https://landscapearchaeology.org/2018/installing-python-packages-in-qgis-3-for-windows/).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://hosting-apriora-manual.readthedocs.io/en/latest/]]></homepage>
        <file_name>apriora.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_MEXe73j.png</icon>
        <author_name><![CDATA[Cristiano Guidi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/apriora/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[cridrive66]]></uploaded_by>
        <create_date>2026-04-09T20:16:53.815452+00:00</create_date>
        <update_date>2026-04-09T20:16:55.782241+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cridrive66/APRIORA/issues]]></tracker>
        <repository><![CDATA[https://github.com/cridrive66/APRIORA]]></repository>
        <tags><![CDATA[water,catchment,river,risk assessment,pollutants,pharmaceutical,flow estimation,concentration]]></tags>
        <downloads>43</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PlanX: Urban Resilience" version="1.0.2" plugin_id="4992">
        <description><![CDATA[PlanX urban resilience suite for QGIS. Monte Carlo seismic module: building collapse likelihood, debris on the transport network, and post-earthquake clearance corridors. Further hazard tools may ship in the same plugin over time.]]></description>
        <about><![CDATA[Single Processing provider umbrella for city-scale resilience analyses. Current focus: stochastic seismic debris and logistics on vector road and building layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/YusufEminoglu/planx_urban_resilience]]></homepage>
        <file_name>planx_urban_resilience.1.0.2.zip</file_name>
        <icon>/media/packages/2026/plugin_GacMiqC.svg</icon>
        <author_name><![CDATA[Araş. Gör. Yusuf Eminoğlu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/planx_urban_resilience/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[geo140195philo]]></uploaded_by>
        <create_date>2026-04-11T10:41:44.485564+00:00</create_date>
        <update_date>2026-04-11T15:08:34.582507+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/YusufEminoglu/planx_urban_resilience/issues]]></tracker>
        <repository><![CDATA[https://github.com/YusufEminoglu/planx_urban_resilience]]></repository>
        <tags><![CDATA[processing,spatial planning,qgis,seismic,planx,drr,debris,urban resilience,monte carlo]]></tags>
        <downloads>61</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MilitarySym-V" version="1.0.0" plugin_id="4994">
        <description><![CDATA[NATO APP-6D Military Symbology Placement Tool for Defence GIS]]></description>
        <about><![CDATA[MilitarySym-V lets you place, label, and export NATO APP-6D compliant military symbols directly on any QGIS map canvas. Select from 14 symbols across Friendly, Hostile, Neutral, and Special categories. Assign unit name, size (Team to Division), and operational status (Present, Planned, Suspected, Destroyed). Export your symbol layer to KML, GeoJSON, or Shapefile. Open the QGIS Print Layout for PDF output. Works with any basemap including Google Satellite and OpenStreetMap. All coordinate transforms are handled automatically. No internet connection required.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/VaibhavNagare-GIS/militarysym-v_plugin]]></homepage>
        <file_name>MilitarySym_V.1.0.0.zip</file_name>
        <icon>/media/packages/2026/plugin_icon_NsSOWNe.png</icon>
        <author_name><![CDATA[Vaibhav Shivaji Nagare]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MilitarySym_V/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[vaibhavnagare]]></uploaded_by>
        <create_date>2026-04-11T15:57:46.142475+00:00</create_date>
        <update_date>2026-04-11T15:57:47.970565+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/VaibhavNagare-GIS/militarysym-v_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/VaibhavNagare-GIS/militarysym-v_plugin]]></repository>
        <tags><![CDATA[export,kml,gis,army,planning,symbols,symbology,military,nato,defence,app-6d,tactical]]></tags>
        <downloads>103</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CropSense" version="1.1.1" plugin_id="4996">
        <description><![CDATA[Calculate 22+ vegetation indices from multispectral drone imagery. Supports separate band TIFs and stacked GeoTIFFs. Includes custom index formula builder.]]></description>
        <about><![CDATA[CropSense automates vegetation index calculation from UAV/drone multispectral imagery. Select a folder containing band sub-folders (blue, green, red, red edge, nir) or a stacked multi-band GeoTIFF. Calculates NDRE, GNDVI, NDVI, MCARI, EVI, SAVI and 16 more indices. Custom index formula builder included. All outputs are saved as GeoTIFFs and loaded into QGIS automatically.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Lalitgis/CropSense]]></homepage>
        <file_name>CropSense.1.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_JeFrNWJ.png</icon>
        <author_name><![CDATA[Lalit BC at Map Mentors Spatial Research Lab]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CropSense/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[lalitbc143]]></uploaded_by>
        <create_date>2026-04-12T00:10:07.597482+00:00</create_date>
        <update_date>2026-04-12T00:16:53.188519+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Lalitgis/CropSense/issues]]></tracker>
        <repository><![CDATA[https://github.com/Lalitgis/CropSense]]></repository>
        <tags><![CDATA[raster,remote sensing,uav,drone,multispectral,ndvi,precision agriculture,vegetation index,gndvi,evi,nitrogen,mcari,rice,ndre]]></tags>
        <downloads>80</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick Street Viewer" version="1.0" plugin_id="4998">
        <description><![CDATA[Click on map to open Google Maps and Street View instantly]]></description>
        <about><![CDATA[The Quick Street Viewer plugin for QGIS is a lightweight and efficient tool that allows users to instantly open any clicked location in Google Street View. It simplifies field verification and location inspection workflows by combining map interaction with real-world visualization. Additionally, the plugin automatically copies the clicked coordinates, making it easy to reuse them in other platforms or applications.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnustupJana/QuickStreetViewer-plugin/#readme]]></homepage>
        <file_name>QuickStreetViewer.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_sTV7O7S.png</icon>
        <author_name><![CDATA[Anustup Jana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickStreetViewer/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[anustup]]></uploaded_by>
        <create_date>2026-04-12T16:01:12.611302+00:00</create_date>
        <update_date>2026-04-12T16:01:14.424099+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnustupJana/QuickStreetViewer-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnustupJana/QuickStreetViewer-plugin]]></repository>
        <tags><![CDATA[web,plugin,real time,360 view,copy coordinate,real street view,street viewer]]></tags>
        <downloads>461</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Terminal" version="0.1.0" plugin_id="4999">
        <description><![CDATA[An integrated terminal for QGIS, similar to VS Code&#x27;s integrated terminal.]]></description>
        <about><![CDATA[QGIS Terminal provides a dockable, integrated terminal panel within QGIS,
similar to the integrated terminal in VS Code.

Features:
- Dockable terminal panel that can be positioned anywhere in the QGIS interface
- True interactive shell with history, tab completion, and colored output
- Cross-platform support (Linux, macOS, Windows)
- ANSI color and escape sequence support
- Configurable font, color scheme, and shell
- Multiple shell support (bash, zsh, sh, PowerShell, cmd)
- Terminal resize handling]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-terminal-plugin]]></homepage>
        <file_name>qgis_terminal.0.1.0.zip</file_name>
        <icon>/media/packages/2026/terminal.svg</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_terminal/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2026-04-12T19:23:27.025003+00:00</create_date>
        <update_date>2026-04-12T19:23:28.794532+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-terminal-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-terminal-plugin]]></repository>
        <tags><![CDATA[console,shell,dockable,command line,terminal]]></tags>
        <downloads>88</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TEM Loader" version="0.1.3" plugin_id="5000">
        <description><![CDATA[Load TEM inversion XYZ files as styled 3D vector layers]]></description>
        <about><![CDATA[QGIS plugin for loading geophysical inversion mdels. Adds a menu item to the &quot;Plugin&quot; menu. The models are loaded as 3D points for the terrain surface with line numbers as labels, 3D points for DOI at depth, and model layers as 3D lines. The plugin supports profile visualization using the &quot;Elevation Profile&quot; tool in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.1.0</qgis_maximum_version>
        <homepage><![CDATA[https://andersdamsgaard.dk/tem-loader.html]]></homepage>
        <file_name>tem_loader.0.1.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Anders Damsgaard]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tem_loader/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[andersdamsgaard]]></uploaded_by>
        <create_date>2026-04-13T08:51:33.388420+00:00</create_date>
        <update_date>2026-04-13T08:51:35.177246+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/qgeomodel/qgis-tem-loader/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/qgeomodel/qgis-tem-loader]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>64</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenNHMQGisConnector" version="1.0" plugin_id="5002">
        <description><![CDATA[Connects to OpenNHM tools]]></description>
        <about><![CDATA[Connecting OpenNHM and QGis.
NOTE: see installation instructions at http://docs.avaframe.org/installation.html.
If you are updating the OpenNHMQGisConnector, make sure to run UpdateAvaFrame in
the Admin Group (in your toolbox)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://opennhm.org]]></homepage>
        <file_name>OpenNHMQGisConnector.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_0hTxBVf.png</icon>
        <author_name><![CDATA[OpenNHM Team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OpenNHMQGisConnector/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[avaframe]]></uploaded_by>
        <create_date>2026-04-13T10:33:37.968277+00:00</create_date>
        <update_date>2026-04-13T10:33:39.733994+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenNHM/OpenNHMQGisConnector]]></tracker>
        <repository><![CDATA[https://github.com/OpenNHM/OpenNHMQGisConnector]]></repository>
        <tags><![CDATA[python,avalanche]]></tags>
        <downloads>55</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="YF GIS Amazonia Tools" version="1.0.8" plugin_id="5003">
        <description><![CDATA[Professional GIS toolkit for cadastral regularization, surveying, GNSS post-processing and agroforestry management in the Peruvian Amazon.]]></description>
        <about><![CDATA[Unified plugin integrating six specialized tools for Peruvian Amazon surveying and forestry professionals.
CADASTRAL: Automatic technical memoir (memoria descriptiva) generator for rural land regularization; Parcel segmenter with azimuth and angle calculations; Coordinate, vertex, area and perimeter calculator (YF Tools Plus).
GEODESY / GNSS: PPK and PPP post-processing with RTKLIB, PDF technical reports, .cor output files for IGN Peru submissions.
AGROFORESTRY: Agroforestry system (SAF) generator with unique plant identification and multiple spatial distribution methods.
SEARCH AND ANALYSIS: Advanced multi-layer attribute search with report generation and visualization.
REQUIREMENTS: python-docx (required for memoir generation). Optional: pandas, matplotlib, reportlab for reports. Install via OSGeo4W Shell: python -m pip install python-docx pandas matplotlib reportlab. RTKLIB binaries are required separately for GNSS processing.
Designed for forestry, cadastre, and topography professionals in Peru and Latin America.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/YuriCaller/YF_GIS_AMAZONIA]]></homepage>
        <file_name>yf_gis_amazonia_tools.1.0.8.zip</file_name>
        <icon>/media/packages/2026/main_icon_BStznLZ.png</icon>
        <author_name><![CDATA[Yuri Fabian Caller Cordova]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/yf_gis_amazonia_tools/version/1.0.8/download/</download_url>
        <uploaded_by><![CDATA[yuricaller]]></uploaded_by>
        <create_date>2026-04-13T19:41:19.364002+00:00</create_date>
        <update_date>2026-04-17T04:12:42.722919+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/YuriCaller/YF_GIS_AMAZONIA/issues]]></tracker>
        <repository><![CDATA[https://github.com/YuriCaller/YF_GIS_AMAZONIA]]></repository>
        <tags><![CDATA[atlas,excel,polygon,topography,coordinates,cadastre,vertices,cadastral,azimuth,forestry,surveying,gnss,rtklib,geodesy,amazonia,saf,ppk,word,docx,ppp,attribute search,memoria descriptiva,peru,agroforestry]]></tags>
        <downloads>71</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FlyPath" version="1.0.0" plugin_id="5004">
        <description><![CDATA[Generate DJI WPML KMZ mission files for 2D orthomosaic mapping directly from QGIS]]></description>
        <about><![CDATA[FlyPath is a QGIS plugin for planning autonomous drone mapping missions and exporting
them as native DJI WPML KMZ files, loadable directly in the DJI Fly app.
Supported drones: DJI Mini 3 Pro, Mini 4 Pro.
Draw your survey area on the map, set flight altitude and overlap, preview
the flight path, and export a ready-to-fly mission file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dronnix-io/FlyPath]]></homepage>
        <file_name>FlyPath.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_i2ULV65.png</icon>
        <author_name><![CDATA[Salar Ghaffarian]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FlyPath/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[salarghaffarian]]></uploaded_by>
        <create_date>2026-04-14T09:37:37.396521+00:00</create_date>
        <update_date>2026-04-14T09:37:39.210253+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dronnix-io/FlyPath/issues]]></tracker>
        <repository><![CDATA[https://github.com/dronnix-io/FlyPath]]></repository>
        <tags><![CDATA[kmz,uav,drone,mapping,dji,orthomosaic,mission planning,wpml]]></tags>
        <downloads>93</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OFDS Studio" version="1.1" plugin_id="5005">
        <description><![CDATA[QGIS plugin for OFDS (Open Fibre Data Standard)]]></description>
        <about><![CDATA[A QGIS plugin for creating, editing and interacting with OFDS (Open Fibre Data Standard) data. OFDS is a data standard for describing terrestrial fibre optic networks, see https://ofds.info/en/ for more.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Open-Telecoms-Data/ofds-qgis-plugin#readme]]></homepage>
        <file_name>ofds_studio.1.1.zip</file_name>
        <icon>/media/packages/2026/logo_YBSs7CD.png</icon>
        <author_name><![CDATA[Open Data Services]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ofds_studio/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[ofdsdev]]></uploaded_by>
        <create_date>2026-04-14T16:44:52.339348+00:00</create_date>
        <update_date>2026-04-14T16:44:54.171650+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Open-Telecoms-Data/ofds-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Open-Telecoms-Data/ofds-qgis-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>19</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Fuzzy" version="1.1.0" plugin_id="5008">
        <description><![CDATA[Fuzzy overlay plugin for QGIS with step-by-step workflow]]></description>
        <about><![CDATA[Easy fuzzy plugin for QGIS including raster input, training, fuzzy membership, overlay, sensitivity analysis, reclassification and validation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LABGEO-UFOPA/easy-fuzzy]]></homepage>
        <file_name>easy_fuzzy.1.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_3Tf8Cjk.png</icon>
        <author_name><![CDATA[Antonio Henrique Cordeiro Ramalho and collaborators - GAPEG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/easy_fuzzy/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[henriquecr2012]]></uploaded_by>
        <create_date>2026-04-15T15:08:50.624855+00:00</create_date>
        <update_date>2026-04-15T15:08:52.435333+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LABGEO-UFOPA/easy-fuzzy/issues]]></tracker>
        <repository><![CDATA[https://github.com/LABGEO-UFOPA/easy-fuzzy]]></repository>
        <tags><![CDATA[raster,overlay,validation,reclassification,qgis,fuzzy,membership,sensitivity]]></tags>
        <downloads>31</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GhanaPostGPS Geocoder" version="1.0.0" plugin_id="5009">
        <description><![CDATA[Convert between GhanaPostGPS digital addresses and geographic coordinates. Geocode addresses to points and reverse-geocode points to GhanaPostGPS addresses.]]></description>
        <about><![CDATA[A QGIS plugin for geocoding and reverse-geocoding using Ghana&#x27;s GhanaPostGPS digital address system. Features include:
- Convert GhanaPostGPS addresses (e.g. AK-484-9321) to latitude/longitude point features
- Convert point layers or coordinate pairs to GhanaPostGPS addresses
- Single address lookup with instant map visualization
- Batch geocoding from a text field in any vector layer
- Batch reverse-geocoding from any point layer
- Rich attribute output including Region, District, PostCode, Area, and Street
- Configurable API endpoint (default: ghanapostgps.sperixlabs.org)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Prymtym4eva/ghpostgps_geocoder]]></homepage>
        <file_name>ghanapostgps_geocoder.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_J0XtWvu.png</icon>
        <author_name><![CDATA[Ben Emunah Aikins]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ghanapostgps_geocoder/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[prime002]]></uploaded_by>
        <create_date>2026-04-15T20:27:30.257606+00:00</create_date>
        <update_date>2026-04-15T20:27:32.099503+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Prymtym4eva/ghpostgps_geocoder/issues]]></tracker>
        <repository><![CDATA[https://github.com/Prymtym4eva/ghpostgps_geocoder]]></repository>
        <tags><![CDATA[geocoding,reverse geocoding,africa,digital address,ghanapostgps,ghana]]></tags>
        <downloads>21</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Global CMT Beachball Plotter" version="1.0" plugin_id="5010">
        <description><![CDATA[Visualize Global CMT focal mechanisms as SVG beachballs in QGIS.
Supports psmeca, psvelomeca, CMTSOLUTION, and Full format files.]]></description>
        <about><![CDATA[This plugin automates the process of parsing Global CMT text files,
calculating Mw from moment tensor components, and creating georeferenced
focal mechanism symbols (beachballs) as SVG layers.
Ideal for seismologists and geophysicists.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/muratbeyhan/GlobalCMTPlotter]]></homepage>
        <file_name>GlobalCMTPlotter.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_8RcoJNQ.png</icon>
        <author_name><![CDATA[Murat Beyhan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GlobalCMTPlotter/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[muratbeyhan]]></uploaded_by>
        <create_date>2026-04-15T20:56:46.038359+00:00</create_date>
        <update_date>2026-04-15T20:56:47.835783+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/muratbeyhan/GlobalCMTPlotter/issues]]></tracker>
        <repository><![CDATA[https://github.com/muratbeyhan/GlobalCMTPlotter]]></repository>
        <tags><![CDATA[earthquake,geophysics,seismology,beachball,focal mechanism,cmt]]></tags>
        <downloads>25</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qfit" version="0.42.2" plugin_id="5012">
        <description><![CDATA[Explore fitness data spatially in QGIS]]></description>
        <about><![CDATA[qfit imports and visualizes fitness activity data in QGIS, starting with Strava and expanding toward broader FIT/GPX workflows.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ebelo/qfit]]></homepage>
        <file_name>qfit.0.42.2.zip</file_name>
        <icon>/media/packages/2026/icon_nLpBZIJ.png</icon>
        <author_name><![CDATA[Emmanuel Belo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qfit/version/0.42.2/download/</download_url>
        <uploaded_by><![CDATA[ebelo]]></uploaded_by>
        <create_date>2026-04-16T07:19:02.378118+00:00</create_date>
        <update_date>2026-04-16T07:29:59.668451+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ebelo/qfit/issues]]></tracker>
        <repository><![CDATA[https://github.com/ebelo/qfit]]></repository>
        <tags><![CDATA[gpx,gis,qgis,geopackage,strava,fit,fitness,activities]]></tags>
        <downloads>31</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dux Hodos" version="3.8" plugin_id="5015">
        <description><![CDATA[Navigate scattered vector point data feature-by-feature with highlight, sort, nearest-neighbour, area/raster filter and quick Y/N/D field editing.]]></description>
        <about><![CDATA[Dux Hodos provides a dock panel for navigating location-based scattered point data one feature at a time. Key capabilities: sequential and nearest-neighbour navigation, multi-field drag-to-reorder sort, area boundary filter (polygon layer), multi-raster tile filter, quick Y/N/D attribute editing with live count, bulk apply to selected features, Google Satellite and Street View integration, and map-click-to-jump. Compatible with QGIS 3.x and QGIS 4.x (Qt5 and Qt6).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ajaynafria62-max/Dux-Hodos]]></homepage>
        <file_name>dux_hodos.3.8.zip</file_name>
        <icon>/media/packages/2026/icon_dnaxuNn.png</icon>
        <author_name><![CDATA[Ajay Nafria Mandhana &amp; Sharma A]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dux_hodos/version/3.8/download/</download_url>
        <uploaded_by><![CDATA[nafria99]]></uploaded_by>
        <create_date>2026-04-16T17:22:43.872952+00:00</create_date>
        <update_date>2026-04-16T17:22:45.807350+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ajaynafria62-max/Dux-Hodos/issues]]></tracker>
        <repository><![CDATA[https://github.com/ajaynafria62-max/Dux-Hodos]]></repository>
        <tags><![CDATA[point,attribute edit,features,zoom,location,gis,navigate,field survey,nearest neighbour]]></tags>
        <downloads>34</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Shift Raster" version="1.0.1" plugin_id="5017">
        <description><![CDATA[Move a raster layer by specified amounts in the X and Y directions]]></description>
        <about><![CDATA[A processing algorithm for moving a raster layer.

Once installed you will find the tool in the processing toolbox.

The X and Y values will be in the same units as the coordinate refence system of the layer. (i.e. if the layer is in a metre-based CRS, x and y will move the layer in metres; if in degrees it will be in degrees)

Compatible with batch processing if you want to move lots of rasters at the same time.

Works on all rasters that open with gdal (that&#x27;s most rasters in qgis, but not web maps for example)]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/angusmcb/shift_qgis_plugin/]]></homepage>
        <file_name>shift.1.0.1.zip</file_name>
        <icon>/media/packages/2026/shift_logo_heMADvg.svg</icon>
        <author_name><![CDATA[Angus McBride]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shift/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2026-04-16T18:54:14.585073+00:00</create_date>
        <update_date>2026-04-18T15:00:25.341314+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/angusmcb/shift_qgis_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/angusmcb/shift_qgis_plugin/]]></repository>
        <tags><![CDATA[raster,processing,georeference,move,shift,deplace]]></tags>
        <downloads>58</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QStoryMap" version="0.2.2" plugin_id="5018">
        <description><![CDATA[A QGIS plugin for publishing QGIS projects as static story-map.]]></description>
        <about><![CDATA[QStoryMap is a free, open‑source QGIS plugin that exports QGIS project’s vector and raster layers into a static Leaflet story map website.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/amanchry/QStoryMap]]></homepage>
        <file_name>QStoryMap.0.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_O2sHSLw.png</icon>
        <author_name><![CDATA[Aman Chaudhary]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QStoryMap/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[amanchry]]></uploaded_by>
        <create_date>2026-04-16T22:37:32.450616+00:00</create_date>
        <update_date>2026-04-16T23:01:54.319792+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/amanchry/QStoryMap/issues]]></tracker>
        <repository><![CDATA[https://github.com/amanchry/QStoryMap]]></repository>
        <tags><![CDATA[web-map,story-map,export-map]]></tags>
        <downloads>47</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Advanced Photo Importer" version="1.0.0" plugin_id="5019">
        <description><![CDATA[Import, manage and visualize geotagged photos with EXIF data in QGIS]]></description>
        <about><![CDATA[Advanced Photo Importer is a powerful QGIS plugin that simplifies the integration
of geotagged photos into your GIS projects. It automatically extracts GPS coordinates,
direction, and timestamp from EXIF data, creates point layers, and provides intuitive
tools for managing, filtering, labeling, and visualizing your field photos on the map.

Key features:
- Import photos from file or folder (recursive) with automatic EXIF extraction
- Create point layers (in-memory or saved as GPKG/Shapefile)
- Customizable SVG camera markers with rotation based on photo direction
- Date/time range filtering independent of manual visibility control
- Label styling with font, color, size, and buffer controls
- Click-on-map tool to open photos
- Export/import photo metadata to/from Excel
- Group management for organizing photos

All required Python libraries (exifread, openpyxl) are bundled with the plugin.
No additional installation is needed — everything works out of the box.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geotechzone.com/qgis/advanced-photo-importer]]></homepage>
        <file_name>advanced_photo_importer.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_LALFXKD.png</icon>
        <author_name><![CDATA[Dr. Majid Jazebi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/advanced_photo_importer/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[majidjazebi]]></uploaded_by>
        <create_date>2026-04-17T00:58:00.202952+00:00</create_date>
        <update_date>2026-04-17T00:58:02.040771+00:00</update_date>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/majidjazebi/advanced-photo-importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/majidjazebi/advanced-photo-importer]]></repository>
        <tags><![CDATA[photo,geotag,gps,import,images,jpg,camera,photos,exif,jpeg,geotagged,field data,qgis import photos plugin​,qgis geotagged photos,import photos qgis,qgis import photos,qgis photo​,qgis add photo to point,qgis import geotagged photos]]></tags>
        <downloads>202</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Group Stats" version="2.2.0" plugin_id="40">
        <description><![CDATA[Stats and analysis for vector layers data]]></description>
        <about><![CDATA[Migrated to QGIS 3 version by Faunalia. Sponsored by Arpa Piemonte for ERIKUS program in collaboration with Regione Piemonte e Dipartimento della Protezione Civile - Funzione Censimento Danni

Migrato alla versione QGIS3 da Faunalia per Arpa Piemonte per il programma ERIKUS in collaborazione con Regione Piemonte e Dipartimento della Protezione Civile - Funzione Censimento Danni]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/HenrikSpa/GroupStats]]></homepage>
        <file_name>GroupStats.2.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_heUnC7v.png</icon>
        <author_name><![CDATA[Rajmund Szostok. Migrated to QGIS 3 by Borys Jurgiel and Faunalia. Code translated to English by Henrik Spångmyr.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GroupStats/version/2.2.0/download/</download_url>
        <uploaded_by><![CDATA[borysiasty]]></uploaded_by>
        <create_date>2011-11-23T20:53:51.656271+00:00</create_date>
        <update_date>2019-10-22T12:31:22.103806+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HenrikSpa/GroupStats/issues]]></tracker>
        <repository><![CDATA[https://github.com/HenrikSpa/GroupStats]]></repository>
        <tags><![CDATA[stats,analysis,pivot table]]></tags>
        <downloads>540187</downloads>
        <average_vote>4.2318717916759665</average_vote>
        <rating_votes>345</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layers menu from project" version="2.4.0-beta3" plugin_id="43">
        <description><![CDATA[Build layers shortcuts menus based on QGIS remote projects stored in PostgreSQL, local network or HTTP(S).]]></description>
        <about><![CDATA[Allow easy opening of layers maintaining their style.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://aeag.github.io/MenuFromProject-Qgis-Plugin/]]></homepage>
        <file_name>menu_from_project.2.4.0-beta3.zip</file_name>
        <icon>/media/packages/2026/menu_from_project_K2cBxKG.png</icon>
        <author_name><![CDATA[Xavier Culos (Agence de l&#x27;eau Adour Garonne), Etienne Trimaille, Julien M. (Oslandia), Jean-Marie Kerloch (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/menu_from_project/version/2.4.0-beta3/download/</download_url>
        <uploaded_by><![CDATA[xcaeag]]></uploaded_by>
        <create_date>2011-11-28T09:36:54.924645+00:00</create_date>
        <update_date>2025-02-06T16:15:56.421382+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aeag/MenuFromProject-Qgis-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/aeag/MenuFromProject-Qgis-Plugin]]></repository>
        <tags><![CDATA[project,menu,layers,remote,deployment,centralized,shared resource,shortcut]]></tags>
        <downloads>168081</downloads>
        <average_vote>4.65105462663659</average_vote>
        <rating_votes>43</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lizmap" version="5.0.0-beta.1" plugin_id="72">
        <description><![CDATA[Publish and share your QGIS maps on the Web via Lizmap Web Client, by 3liz.com]]></description>
        <about><![CDATA[With a few clicks, it&#x27;s possible to publish and share your QGIS projects on the Web via Lizmap Web Client, by 3liz.com. QGIS Server is used in the background so all the symbology is kept. The edition forms in QGIS are also available. Demo : https://demo.lizmap.com and documentation : https://docs.lizmap.com and hosting solutions https://lizmap.com]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.lizmap.com/]]></homepage>
        <file_name>lizmap.5.0.0-beta.1.zip</file_name>
        <icon>/media/packages/2026/icon_ytEC4SA.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lizmap/version/5.0.0-beta.1/download/</download_url>
        <uploaded_by><![CDATA[kimaidou]]></uploaded_by>
        <create_date>2012-02-16T18:04:45.621776+00:00</create_date>
        <update_date>2026-03-25T15:20:46.630755+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/lizmap-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/lizmap-plugin]]></repository>
        <tags><![CDATA[web,cloud,mobile,wfs,server,wms,publication,wps,webmapping,webservice,internet,webgis,online]]></tags>
        <downloads>285347</downloads>
        <average_vote>4.4235033911565225</average_vote>
        <rating_votes>170</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Profile tool" version="4.3.0" plugin_id="87">
        <description><![CDATA[Plots terrain profile]]></description>
        <about><![CDATA[This tool plots profile lines from raster layers or point vector layer with elevation field. Supports multiple lines as well as graph export to svg, pdf, png or csv file. Supports 3D polyline export to dxf.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PANOimagen/profiletool]]></homepage>
        <file_name>profiletool.4.3.0.zip</file_name>
        <icon>/media/packages/2026/profileIcon.png</icon>
        <author_name><![CDATA[Borys Jurgiel - Patrice Verchere - Etienne Tourigny - Javier Becerra]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/profiletool/version/4.3.0/download/</download_url>
        <uploaded_by><![CDATA[nicogodet]]></uploaded_by>
        <create_date>2012-03-10T07:41:58.884204+00:00</create_date>
        <update_date>2024-12-18T10:35:10.228439+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PANOimagen/profiletool/issues]]></tracker>
        <repository><![CDATA[https://github.com/PANOimagen/profiletool]]></repository>
        <tags><![CDATA[vector,raster,profile]]></tags>
        <downloads>1614896</downloads>
        <average_vote>4.298324226343405</average_vote>
        <rating_votes>838</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SoilTexture" version="2.99" plugin_id="121">
        <description><![CDATA[Build soil texture map  from sand and clay raster maps]]></description>
        <about><![CDATA[The plugin require two raster: spatial distribution for sand and clay for the same area. The user must supply even the texture schema and the name of output file. [http://maplab.alwaysdata.net/soilstools.html]]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://maplab.alwaysdata.net/soilstools.html]]></homepage>
        <file_name>SoilTexture.2.99.zip</file_name>
        <icon>/media/packages/2018/icon_NVNF8gB.png</icon>
        <author_name><![CDATA[Gianluca Massei]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SoilTexture/version/2.99/download/</download_url>
        <uploaded_by><![CDATA[gianluca]]></uploaded_by>
        <create_date>2012-03-30T14:16:18.323749+00:00</create_date>
        <update_date>2018-09-30T15:32:52.601249+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://hub.qgis.org/projects/soiltexture]]></tracker>
        <repository><![CDATA[https://github.com/gmassei/SoilTexture/]]></repository>
        <tags><![CDATA[raster,analysis,soils]]></tags>
        <downloads>36660</downloads>
        <average_vote>4.147994518721529</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Plugin Reloader" version="0.7.7" plugin_id="143">
        <description><![CDATA[Reloads a chosen plugin in one click]]></description>
        <about><![CDATA[This tool is only useful for Python Plugin Developers!]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/borysiasty/plugin_reloader]]></homepage>
        <file_name>plugin_reloader.0.7.7.zip</file_name>
        <icon>/media/packages/2026/reload_84p7udg.png</icon>
        <author_name><![CDATA[Borys Jurgiel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/plugin_reloader/version/0.7.7/download/</download_url>
        <uploaded_by><![CDATA[borysiasty]]></uploaded_by>
        <create_date>2012-05-30T07:57:45.389210+00:00</create_date>
        <update_date>2018-11-30T16:39:47.055963+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/borysiasty/plugin_reloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/borysiasty/plugin_reloader]]></repository>
        <tags><![CDATA[python,development,reload,reloader,developer]]></tags>
        <downloads>289817</downloads>
        <average_vote>4.5565019282524855</average_vote>
        <rating_votes>230</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="INSPIRE Atom Client" version="0.8.1" plugin_id="151">
        <description><![CDATA[Client for INSPIRE Downloadservices based on ATOM-Feeds]]></description>
        <about><![CDATA[Client allowing data from INSPIRE pre-defined ATOM-Feed Download services to be imported as QGIS layers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.weichand.de]]></homepage>
        <file_name>inspireatomclient.0.8.1.zip</file_name>
        <icon>/media/packages/2020/icon_suU8F8F.png</icon>
        <author_name><![CDATA[Juergen Weichand, Stefan Ziegler, Tim Vinzing, Edward Nash, Wilhelm Beiche]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/inspireatomclient/version/0.8.1/download/</download_url>
        <uploaded_by><![CDATA[ejn]]></uploaded_by>
        <create_date>2012-06-20T09:16:28.591720+00:00</create_date>
        <update_date>2020-04-20T13:23:53.819639+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgisinspiretools/qgis-inspire-atom-client-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgisinspiretools/qgis-inspire-atom-client-plugin]]></repository>
        <tags><![CDATA[download service,inspire,atom]]></tags>
        <downloads>28580</downloads>
        <average_vote>3.6162370204997614</average_vote>
        <rating_votes>86</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WPS Client" version="3.0.0" plugin_id="173">
        <description><![CDATA[Client for OGC Web Processing Services]]></description>
        <about><![CDATA[Sourcepole AG - Linux &amp; Open Source Solutions, Weberstrasse 5, 8004 Zurich, Switzerland]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sourcepole/qgis-wps-client]]></homepage>
        <file_name>wps.3.0.0.zip</file_name>
        <icon>/media/packages/wps-add_2.png</icon>
        <author_name><![CDATA[Dr. Horst Duester]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wps/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[hdus]]></uploaded_by>
        <create_date>2012-06-29T15:38:19.847198+00:00</create_date>
        <update_date>2020-10-19T15:03:32.432033+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sourcepole/qgis-wps-client/issues]]></tracker>
        <repository><![CDATA[https://github.com/sourcepole/qgis-wps-client]]></repository>
        <tags><![CDATA[service,processes,architecture,wps]]></tags>
        <downloads>71649</downloads>
        <average_vote>3.7456992254368573</average_vote>
        <rating_votes>59</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Cloud Plugin" version="3.0.9" plugin_id="202">
        <description><![CDATA[Publish maps on qgiscloud.com]]></description>
        <about><![CDATA[QGIS Cloud is your powerful Web-GIS platform for publishing maps, data and services on the internet.  Create and edit professional maps with all the capabilities from QGIS.     With only a few short mouse-clicks you can share your work on qgiscloud.com with the public. &lt;br&gt;&lt;br&gt;The documentation of  QGIS Cloud can be found in &lt;a href=&quot;https://docs.qgiscloud.com/en/&quot;&gt;English&lt;/a&gt; or &lt;a href=&quot;https://docs.qgiscloud.com/de/&quot;&gt;German&lt;/a&gt;.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://qgiscloud.com/]]></homepage>
        <file_name>qgiscloud.3.0.9.zip</file_name>
        <icon>/media/packages/2025/icon_vTzqupQ.png</icon>
        <author_name><![CDATA[Sourcepole - Linux &amp; Open Source Solutions, Weberstrasse 5, 8004 Zurich, Switzerland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgiscloud/version/3.0.9/download/</download_url>
        <uploaded_by><![CDATA[hdus]]></uploaded_by>
        <create_date>2012-08-21T22:24:16.399091+00:00</create_date>
        <update_date>2018-05-23T13:07:55.659713+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgiscloud/qgis-cloud-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgiscloud/qgis-cloud-plugin]]></repository>
        <tags><![CDATA[postgis,cloud,mobile,wfs,server,web-client,wms,wcs,wfs-t,qwc2]]></tags>
        <downloads>664751</downloads>
        <average_vote>4.2239831040675835</average_vote>
        <rating_votes>250</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qgSurf" version="4.1.0" plugin_id="205">
        <description><![CDATA[Processing of geological planes and surfaces]]></description>
        <about><![CDATA[qgSurf is a field-mapping/structural-geology plugin that can be used as an aid in: a) estimating the attitude of sub-planar geological surfaces given three or more points on a topographic surface; b) determining the intersection between a geological plane and a topographic surface; c) calculating the distance between points and a geological plane; d) plotting geological data in a stereonet; e) creating geological profiles.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/mauroalberti/qgSurf]]></homepage>
        <file_name>qgSurf.4.1.0.zip</file_name>
        <icon>/media/packages/2026/qgsurf_ML6EdiP.png</icon>
        <author_name><![CDATA[Mauro Alberti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgSurf/version/4.1.0/download/</download_url>
        <uploaded_by><![CDATA[mauroalberti]]></uploaded_by>
        <create_date>2012-08-26T10:25:51.178195+00:00</create_date>
        <update_date>2026-03-28T17:04:13.047301+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/mauroalberti/qgSurf/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/mauroalberti/qgSurf]]></repository>
        <tags><![CDATA[raster,intersection,structural geology,dem,geological planes]]></tags>
        <downloads>79056</downloads>
        <average_vote>4.449888752781181</average_vote>
        <rating_votes>40</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Remote Debug" version="0.4.3" plugin_id="228">
        <description><![CDATA[Connect a running QGIS plugin to a Python remote debugger]]></description>
        <about><![CDATA[Connect a running QGIS plugin to a Python remote debugger]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sourcepole/qgis-remote-debug]]></homepage>
        <file_name>remotedebug.0.4.3.zip</file_name>
        <icon>/media/packages/2019/icon_i6rjQns.png</icon>
        <author_name><![CDATA[Sourcepole]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/remotedebug/version/0.4.3/download/</download_url>
        <uploaded_by><![CDATA[pka]]></uploaded_by>
        <create_date>2012-10-04T16:02:57.208490+00:00</create_date>
        <update_date>2019-05-15T19:30:29.421621+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/sourcepole/qgis-remote-debug/issues]]></tracker>
        <repository><![CDATA[https://github.com/sourcepole/qgis-remote-debug]]></repository>
        <tags><![CDATA[development,debugging,tools]]></tags>
        <downloads>18772</downloads>
        <average_vote>4.213984715377473</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenLayers Plugin" version="2.0.0" plugin_id="229">
        <description><![CDATA[Google Maps, Bing Maps, OpenStreetMap layers and more]]></description>
        <about><![CDATA[Google Maps, Bing Maps, OpenStreetMap layers and more]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.1</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sourcepole/qgis-openlayers-plugin]]></homepage>
        <file_name>openlayers_plugin.2.0.0.zip</file_name>
        <icon>/media/packages/2018/openlayers_2cZigXF.png</icon>
        <author_name><![CDATA[Sourcepole]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/openlayers_plugin/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[pka]]></uploaded_by>
        <create_date>2012-10-04T16:42:48.564381+00:00</create_date>
        <update_date>2018-04-09T11:39:24.116894+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/sourcepole/qgis-openlayers-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/sourcepole/qgis-openlayers-plugin]]></repository>
        <tags><![CDATA[openlayers,osm,google,bing,stamen]]></tags>
        <downloads>3830371</downloads>
        <average_vote>4.253120627343619</average_vote>
        <rating_votes>2402</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Contour plugin" version="3.0.0" plugin_id="233">
        <description><![CDATA[Generates contours from point layer]]></description>
        <about><![CDATA[Generate a contour layer based on an attribute of a point vector layer.

Builds a processing plugin and a GUI interface for simple direct contouring of point layers.
The source point layer Can be either gridded or randomly organised.
The layer resulting contours can be rendered with a graduated renderer using a colour ramp.
The layer includes properties that can be used to replicate or modify the contouring parameters.

Requires python modules numpy and matplotlib

Recommends loading the MemoryLayerSaver plugin to save the contours with the project]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ccrook/QGIS-Contour-Plugin]]></homepage>
        <file_name>contour.3.0.0.zip</file_name>
        <icon>/media/packages/2026/contour_MHuGM7j.png</icon>
        <author_name><![CDATA[Chris Crook, Lionel Roubeyrie]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/contour/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[ccrook]]></uploaded_by>
        <create_date>2012-10-08T09:44:39.169158+00:00</create_date>
        <update_date>2026-03-17T19:01:18.122114+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ccrook/QGIS-Contour-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ccrook/QGIS-Contour-Plugin]]></repository>
        <tags><![CDATA[python,processing,contour]]></tags>
        <downloads>457354</downloads>
        <average_vote>4.173899083949553</average_vote>
        <rating_votes>299</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cxf_in" version="9.0.4" plugin_id="243">
        <description><![CDATA[Caricatore file CXF Catasto]]></description>
        <about><![CDATA[GEOREFERENZIAZIONE FILE CATASTALI CXF DI TUTTA L&#x27;ITALIA
La necessità di registrarsi per la georeferenziazione serve a garantire la
qualità del dato e a non far proliferare sistemi di georeferenziazione che
farebbero confusione.
La procedura di georiferimento attuale è univoca (trasformazione di datum) e
riguarda in maniera omogenea tutti i fogli dell&#x27;intero del Comune di riferimento.
Per migliorare la georeferenziazione all&#x27;interno del singolo Comune deve
essere applicata una trasformazione per singoli fogli.
La procedure di georiferimento dei singoli fogli è presente per la
Regione Friuli Venezia Giulia.
Attendo progetti specifici per ampliare la gereferenziazione per singolo
foglio per altre parti del territorio italiano.
Cxf_in carica la trasformazione globale (trasformazione di datum) e se la
trova successivamente applica i parametri di correzione al singolo foglio
L&#x27;applicativo per la trasformazione è già pronto. Tale procedura necessita
dei fogli catastali vettorilai. Per avere informazioni non esitate a scrivermi.
Per informazioni scrivere a saccon@gisplan.it]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.qgis.org/]]></homepage>
        <file_name>Cxf_in.9.0.4.zip</file_name>
        <icon>/media/packages/2016/icon_oPoG6UX.png</icon>
        <author_name><![CDATA[Saccon Fabio]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Cxf_in/version/9.0.4/download/</download_url>
        <uploaded_by><![CDATA[saccon]]></uploaded_by>
        <create_date>2012-10-22T10:31:30.848375+00:00</create_date>
        <update_date>2019-02-25T15:39:04.842065+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/saccon/CXF_in/issues]]></tracker>
        <repository><![CDATA[https://github.com/saccon/CXF_in]]></repository>
        <tags><![CDATA[cxf,catasto,agenzia del territorio,cadastral,cxf_in]]></tags>
        <downloads>54100</downloads>
        <average_vote>4.297567886096594</average_vote>
        <rating_votes>84</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PostGIS Topology Editor" version="0.4.1" plugin_id="274">
        <description><![CDATA[Editing toolbar for PostGIS topology primitives (ISO SQL/MM based)]]></description>
        <about><![CDATA[Editing toolbar for PostGIS topology primitives (ISO SQL/MM based)]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/strk/qgis_pgis_topoedit]]></homepage>
        <file_name>pgtopoeditor.0.4.1.zip</file_name>
        <icon>/media/packages/2026/topoedit.png</icon>
        <author_name><![CDATA[Sandro Santilli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pgtopoeditor/version/0.4.1/download/</download_url>
        <uploaded_by><![CDATA[strk]]></uploaded_by>
        <create_date>2013-01-22T16:38:50.700580+00:00</create_date>
        <update_date>2026-01-14T11:29:05.300896+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/strk/qgis_pgis_topoedit/issues]]></tracker>
        <repository><![CDATA[https://github.com/strk/qgis_pgis_topoedit.git]]></repository>
        <tags><![CDATA[postgis,topology]]></tags>
        <downloads>27252</downloads>
        <average_vote>3.274918127046824</average_vote>
        <rating_votes>40</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TMS for Korea" version="2.0.0" plugin_id="280">
        <description><![CDATA[QGIS plugin. Kakao(Daum), Naver, VWorld, NGII Map Layers for Korean users]]></description>
        <about><![CDATA[QGIS plugin. Kakao(Daum), Naver, VWorld, NGII Map Layers for Korean users]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.1</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mangosystem/qgis-tmsforkorea-plugin]]></homepage>
        <file_name>tmsforkorea.2.0.0.zip</file_name>
        <icon>/media/packages/2022/openlayers_c865oek.png</icon>
        <author_name><![CDATA[Minpa Lee]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tmsforkorea/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[MapPlus]]></uploaded_by>
        <create_date>2013-02-03T12:26:04.190205+00:00</create_date>
        <update_date>2018-11-28T02:27:59.770675+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mangosystem/qgis-tmsforkorea-plugin]]></tracker>
        <repository><![CDATA[https://github.com/MapPlus/qgis-tmsforkorea-plugin.git]]></repository>
        <tags><![CDATA[openlayers,naver,vworld,ngii,kakao]]></tags>
        <downloads>476576</downloads>
        <average_vote>4.374271834411067</average_vote>
        <rating_votes>521</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multipart Split" version="0.10.0" plugin_id="285">
        <description><![CDATA[Split selected multipart features during edit session]]></description>
        <about><![CDATA[The plugins adds a &quot;Splits feature(s) parts&quot; item to the Edit menu, and a similar button in the Advanced digitizing toolbar. The buttons are only enabled when the current layer is in edit mode and has features selected.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://hub.qgis.org/projects/multipartsplit]]></homepage>
        <file_name>splitmultipart.0.10.0.zip</file_name>
        <icon>/media/packages/2018/icon_v369Dey.svg</icon>
        <author_name><![CDATA[Alexandre Neto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/splitmultipart/version/0.10.0/download/</download_url>
        <uploaded_by><![CDATA[srneto]]></uploaded_by>
        <create_date>2013-02-14T23:35:34.387724+00:00</create_date>
        <update_date>2018-04-05T00:35:17.815119+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://hub.qgis.org/projects/multipartsplit/issues]]></tracker>
        <repository><![CDATA[https://github.com/SrNetoChan/MultipartSplit]]></repository>
        <tags><![CDATA[multipart; singlepart; split; explode]]></tags>
        <downloads>137028</downloads>
        <average_vote>4.59518339067392</average_vote>
        <rating_votes>84</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PDOK BAG Geocoder" version="0.6.7" plugin_id="324">
        <description><![CDATA[QGIS plugin for finding Dutch XY coordinates from a CSV file with use of the BAG geocoder webservice from www.pdok.nl]]></description>
        <about><![CDATA[QGIS plugin for finding Dutch XY coordinates from a CSV file with use of the BAG geocoder webservice from www.pdok.nl]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Lytrix/pdokbaggeocoder]]></homepage>
        <file_name>pdokbaggeocoder.0.6.7.zip</file_name>
        <icon>/media/packages/2023/icon_0RLD2AX.png</icon>
        <author_name><![CDATA[Eelke Jager]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pdokbaggeocoder/version/0.6.7/download/</download_url>
        <uploaded_by><![CDATA[lytrix]]></uploaded_by>
        <create_date>2013-05-09T19:34:25.333831+00:00</create_date>
        <update_date>2023-08-17T16:20:16.351336+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Lytrix/pdokbaggeocoder/issues]]></tracker>
        <repository><![CDATA[https://github.com/Lytrix/pdokbaggeocoder]]></repository>
        <tags><![CDATA[services,nederland,pdok,geocoder]]></tags>
        <downloads>16913</downloads>
        <average_vote>3.555456792866865</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Chinese Postman Solver" version="0.3.0" plugin_id="325">
        <description><![CDATA[Chinese Postman Solver]]></description>
        <about><![CDATA[Chinese Postman Solver solves the Chinese Postman problem, also
known as CPP, postman tour or route inspection problem.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rkistner/chinese-postman]]></homepage>
        <file_name>chinesepostman.0.3.0.zip</file_name>
        <icon>/media/packages/2019/icon_s3T09WR.png</icon>
        <author_name><![CDATA[Ralf Kistner]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/chinesepostman/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[rkistner]]></uploaded_by>
        <create_date>2013-05-12T19:47:37.608078+00:00</create_date>
        <update_date>2019-06-30T12:10:22.942137+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rkistner/chinese-postman/issues]]></tracker>
        <repository><![CDATA[https://github.com/rkistner/chinese-postman]]></repository>
        <tags><![CDATA[network analysis,shortest,routing]]></tags>
        <downloads>10476</downloads>
        <average_vote>3.999948052622693</average_vote>
        <rating_votes>77</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="geoUmbriaSUIT" version="3.0.6" plugin_id="332">
        <description><![CDATA[geoUmbriaSUIT is deprecated. All you need for Spatial Sustainability Assessment is in SSAM plugin (https://plugins.qgis.org/plugins/SSAM/)]]></description>
        <about><![CDATA[GeoUmbriaSUIT is a QGIS plugin for sustainability assessment in geographic environment, using environmental, economic and social criteria. The outputs of geoUmbriaSUIT are both geographic and graphic. More data and documents are available on http://maplab.alwaysdata.net/geoUmbriaSUIT.html]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://maplab.alwaysdata.net/geoUmbriaSUIT.html]]></homepage>
        <file_name>geoUmbriaSUIT.3.0.6.zip</file_name>
        <icon>/media/packages/2019/icon_hH9bbVL.png</icon>
        <author_name><![CDATA[ARPA Umbria - University of Perugia (Developer: Gianluca Massei)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoUmbriaSUIT/version/3.0.6/download/</download_url>
        <uploaded_by><![CDATA[gianluca]]></uploaded_by>
        <create_date>2013-06-16T12:44:43.512982+00:00</create_date>
        <update_date>2019-02-24T17:53:28.223361+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/gmassei/geoUmbriaSUIT/issues]]></tracker>
        <repository><![CDATA[https://github.com/gmassei/geoUmbriaSUIT]]></repository>
        <tags><![CDATA[vector,sustainability,geographic mcda]]></tags>
        <downloads>34351</downloads>
        <average_vote>4.624421947256593</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OSM place search" version="1.2.8" plugin_id="354">
        <description><![CDATA[Location search helper]]></description>
        <about><![CDATA[Based on OSM data, Nominatim online tool (https://operations.osmfoundation.org/policies/nominatim/)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/xcaeag/Nominatim-Qgis-Plugin]]></homepage>
        <file_name>nominatim.1.2.8.zip</file_name>
        <icon>/media/packages/2026/nominatim_ZMxUWpO.png</icon>
        <author_name><![CDATA[Xavier Culos (Agence de l&#x27;eau Adour Garonne)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nominatim/version/1.2.8/download/</download_url>
        <uploaded_by><![CDATA[xcaeag]]></uploaded_by>
        <create_date>2013-08-09T12:52:15.649214+00:00</create_date>
        <update_date>2019-11-26T14:51:21.660034+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/xcaeag/Nominatim-Qgis-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/xcaeag/Nominatim-Qgis-Plugin]]></repository>
        <tags><![CDATA[location search helper osm]]></tags>
        <downloads>595035</downloads>
        <average_vote>4.289795255429123</average_vote>
        <rating_votes>314</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QChainage" version="3.0.0" plugin_id="366">
        <description><![CDATA[This plugin takes line features and creates a new layer of points
in provided distances on top of these Lines. Optionally you can set the
startpoint (distance from the start of the line) and the endpoint (stop
before reaching the end of the line).]]></description>
        <about><![CDATA[QChainage either separates the selected (or all) Line-Features into
parts, or performs linear referencing from a chosen distance. Chainage can be
all along the whole feature or between a selectable start and endpoint.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mach0/qchainage]]></homepage>
        <file_name>qchainage.3.0.0.zip</file_name>
        <icon>/media/packages/2026/qchainage.png</icon>
        <author_name><![CDATA[Werner Macho]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qchainage/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[macho]]></uploaded_by>
        <create_date>2013-09-13T21:01:54.737689+00:00</create_date>
        <update_date>2017-05-08T21:39:27.500504+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mach0/qchainage]]></tracker>
        <repository><![CDATA[https://github.com/mach0/qchainage]]></repository>
        <tags><![CDATA[vector,feature chainage,chainages,measurement,linear referencing]]></tags>
        <downloads>177368</downloads>
        <average_vote>4.3961849416514935</average_vote>
        <rating_votes>106</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VoGIS-ProfilTool" version="2.99.1" plugin_id="376">
        <description><![CDATA[Create profiles from DEMs using vector geometries or a digitized line.]]></description>
        <about><![CDATA[Create profiles from DEMs using vector geometries or a digitized line.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BergWerkGIS/VoGIS-Profil-Tool/]]></homepage>
        <file_name>VoGisProfilTool.2.99.1.zip</file_name>
        <icon>/media/packages/2019/icon_YLc6bp4.png</icon>
        <author_name><![CDATA[BergWerk GIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VoGisProfilTool/version/2.99.1/download/</download_url>
        <uploaded_by><![CDATA[BergWerkGis]]></uploaded_by>
        <create_date>2013-09-21T16:17:21.840229+00:00</create_date>
        <update_date>2018-01-25T16:51:51.427865+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BergWerkGIS/VoGIS-Profil-Tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/BergWerkGIS/VoGIS-Profil-Tool/]]></repository>
        <tags><![CDATA[raster,profile,dem,profiles,vorarlberg,dxf,vogis,matplotlib,csv,equidistant]]></tags>
        <downloads>86366</downloads>
        <average_vote>4.166589507601711</average_vote>
        <rating_votes>54</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="cadastre" version="1.6.2" plugin_id="397">
        <description><![CDATA[This plugins helps users to use French land registry data, called Cadastre, in QGIS. It is only useful in
France for people having access to Cadastre data. Funded by : the European Union, Fonds Européen de Développement
Régional de Picardie, Conseil Régional de Picardie, Agence de Développement et d&#x27;Urbanisme du Grand Amienois.]]></description>
        <about><![CDATA[This plugins helps users to use french land registry data, called Cadastre, in QGIS. It is only usefull in France for people having access to Cadastre data. Funded by : the European Union, Fonds Europeen de Developpement Regional de Picardie, Conseil Regional de Picardie, Agence de Developpement et d Urbanisme du Grand Amienois.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.3liz.org/QgisCadastrePlugin/]]></homepage>
        <file_name>cadastre.1.6.2.zip</file_name>
        <icon>/media/packages/2025/icon_dbci6oa.png</icon>
        <author_name><![CDATA[3Liz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cadastre/version/1.6.2/download/</download_url>
        <uploaded_by><![CDATA[kimaidou]]></uploaded_by>
        <create_date>2013-11-07T15:56:56.064810+00:00</create_date>
        <update_date>2018-10-16T15:19:10.155577+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/3liz/QgisCadastrePlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/3liz/QgisCadastrePlugin]]></repository>
        <tags><![CDATA[import,edigeo,majic,cadastre,france,french]]></tags>
        <downloads>382437</downloads>
        <average_vote>4.090892921371852</average_vote>
        <rating_votes>253</rating_votes>
        <external_dependencies></external_dependencies>
        <server>True</server>
    </pyqgis_plugin><pyqgis_plugin name="geopunt4Qgis" version="2.5.0.2" plugin_id="407">
        <description><![CDATA[NL: Plug-in om Geopunt-functionaliteiten in QGIS te gebruiken
EN: Plug-in to use Geopunt-functionalities in QGIS]]></description>
        <about><![CDATA[Geopunt4Qgis - “Geopunt voor QGIS” is de plug-in voor de QGIS open source desktop GIS, die de webservices van Digitaal Vlaanderen en andere agentschappen van de Vlaamse overheid ontsluit naar desktop GIS-gebruikers. Digitaal Vlaanderen biedt een aantal geografische diensten (webservices) aan die mogen gebruikt worden door derden, zoals andere overheden en bedrijven.
Beknopt overzicht van functionaliteiten:
- Zoeken op adres (gewoon, in batch en prikken op kaart) op basis van Gebouwen- en Adressenregister Vlaanderen.
- Zoeken naar interessante plaatsen (POI) in Geopunt
- Hoogteprofielen genereren
- Zoeken naar percelen
- Zoeken naar kaartlagen via Datavindplaats
EN: Geopunt4QGIS – “Geopunt for QGIS” is the plug-in for the QGIS open-source desktop GIS that exposes the web services of Digitaal Vlaanderen and other agencies of the Flemish government to desktop GIS users. Digitaal Vlaanderen provides a range of geographic services (web services) that may be used by third parties, such as other public authorities and companies.
Brief overview of functionalities:
- Geocoding (standard, batch, and reverse), based on the Buildings and Address Registry Flanders.
- Search for points of interest (POI) in Geopunt.
- Generate elevation profiles.
- Search for parcels.
- Search for layers via the Datavindplaats.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.vlaanderen.be/geopunt/plug-ins]]></homepage>
        <file_name>geopunt4Qgis.2.5.0.2.zip</file_name>
        <icon>/media/packages/2026/geopunt_1pXGQtn.png</icon>
        <author_name><![CDATA[Kay Warrie]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geopunt4Qgis/version/2.5.0.2/download/</download_url>
        <uploaded_by><![CDATA[warrieka]]></uploaded_by>
        <create_date>2013-12-15T15:22:57.339324+00:00</create_date>
        <update_date>2026-01-27T10:16:50.299626+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Informatievlaanderen/geopunt-plugins-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/Informatievlaanderen/geopunt-plugins-qgis]]></repository>
        <tags><![CDATA[address,inspire,brussels,webservice,adres,adressen,gipod,point of interest,vlaanderen,brussel,belgie,flanders,geocode,grb,location,crab,poi,belgium,gdi,geopunt,agiv,geolokatie,urbis]]></tags>
        <downloads>150517</downloads>
        <average_vote>4.279348833105395</average_vote>
        <rating_votes>68</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SimpleReports" version="0.4.0" plugin_id="438">
        <description><![CDATA[Simple report generator]]></description>
        <about><![CDATA[Intersect a given area with layers and produce an OpenOffice ODT report. Developed by NextGIS. Any feedback is welcome at https://nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/nextgis/simplereports]]></homepage>
        <file_name>simplereports.0.4.0.zip</file_name>
        <icon>/media/packages/2024/simplereports.png</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/simplereports/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2014-01-26T07:40:39.074144+00:00</create_date>
        <update_date>2024-11-20T17:09:15.256776+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/simplereports/issues]]></tracker>
        <repository><![CDATA[http://github.com/nextgis/simplereports]]></repository>
        <tags><![CDATA[vector,report]]></tags>
        <downloads>6869</downloads>
        <average_vote>2.7774691700922123</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Visibility Analysis" version="0.6.6" plugin_id="440">
        <description><![CDATA[Visibility analysis over raster DEM]]></description>
        <about><![CDATA[Viewshed analysis calculates visible surface from a given observer point over a digital elevation model. Additionally, this plugin can be used for modelling intervisibilty networks between groups of points. It is particularly performant for multiple viewshed calculations form a set of fixed points.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://landscapearchaeology.org/qgis-visibility-analysis/]]></homepage>
        <file_name>ViewshedAnalysis.0.6.6.zip</file_name>
        <icon>/media/packages/2025/icon_hMbczQp.png</icon>
        <author_name><![CDATA[Zoran Čučković]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ViewshedAnalysis/version/0.6.6/download/</download_url>
        <uploaded_by><![CDATA[zoran14]]></uploaded_by>
        <create_date>2014-01-30T23:12:42.138143+00:00</create_date>
        <update_date>2018-12-01T18:32:34.683661+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zoran-cuckovic/QGIS-visibility-analysis/issues]]></tracker>
        <repository><![CDATA[https://github.com/zoran-cuckovic/QGIS-visibility-analysis/tree/experimental]]></repository>
        <tags><![CDATA[raster,visibility,viewshed]]></tags>
        <downloads>265114</downloads>
        <average_vote>4.321055782422133</average_vote>
        <rating_votes>299</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoValleCVC" version="0.2" plugin_id="492">
        <description><![CDATA[Este plugin para QGIS entrega la ondulación geoidal para puntos de entrada en diferentes sistemas de referencia en el Valle del Cauca, para su calculo hace uso del Geoide local (GEOVALLE 1.0) (Opensource) desarrollado por la coorporación autonoma regional (CVC). Más información sobre el modelo geoidal GEOVALLE 1.0 en http://www.cvc.gov.co/

This plugin for QGIS calculates the geoidal ondulation for input points in different reference systems in the Valle del Cauca. It uses the local Geoid (GEOVALLE 1.0) (Opensource) developed by the regional autonomous corporation (CVC).  For more information about the geoidal model GEOVALLE 1.0 please refer to http://www.cvc.gov.co/]]></description>
        <about><![CDATA[Este plugin para QGIS entrega la ondulación geoidal para puntos de entrada en diferentes sistemas de referencia en el Valle del Cauca, para su calculo hace uso del Geoide local (GEOVALLE 1.0) (Opensource) desarrollado por la coorporación autonoma regional (CVC). Más información sobre el modelo geoidal GEOVALLE 1.0 en http://www.cvc.gov.co/

This plugin for QGIS calculates the geoidal ondulation for input points in different reference systems in the Valle del Cauca. It uses the local Geoid (GEOVALLE 1.0) (Opensource) developed by the regional autonomous corporation (CVC).  For more information about the geoidal model GEOVALLE 1.0 please refer to http://www.cvc.gov.co/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AndresHerrera/geovallecvcv2]]></homepage>
        <file_name>geovallecvc.0.2.zip</file_name>
        <icon>/media/packages/2020/icon_r4jqJa8.png</icon>
        <author_name><![CDATA[Andres Herrera]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geovallecvc/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[t763rm3n]]></uploaded_by>
        <create_date>2014-03-28T22:13:00.946402+00:00</create_date>
        <update_date>2020-01-10T20:29:35.215606+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AndresHerrera/geovallecvcv2/issues]]></tracker>
        <repository><![CDATA[https://github.com/AndresHerrera/geovallecvc]]></repository>
        <tags><![CDATA[python,valle,cvc,geoid,colombia]]></tags>
        <downloads>3794</downloads>
        <average_vote>3.9995000624921886</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="topog4qgis" version="0.3.9" plugin_id="547">
        <description><![CDATA[topog4qgis e&#x27; un plugin utile all&#x27;elaborazione di libretti PreGeo (.dat e .pdf) e alla trattazione di liste di punti (.csv) su QGIS mediante opportuna rototraslazione ai minimi quadrati. | Topographic tools for QGis. It allows to manage and visualize files for the italian cadastre update procedure (Pregeo)]]></description>
        <about><![CDATA[Thanks to Giuliano Curti (original author) and Giuseppe Patti (contributor), Marco Lombardi (contributor and actual maintainer)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://topog4qgis.wordpress.com/]]></homepage>
        <file_name>topog4qgis.0.3.9.zip</file_name>
        <icon>/media/packages/2026/icon_0jGWshN.png</icon>
        <author_name><![CDATA[Marco Lombardi (contributor and actual maintainer)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/topog4qgis/version/0.3.9/download/</download_url>
        <uploaded_by><![CDATA[marcolombardirm]]></uploaded_by>
        <create_date>2014-05-30T15:58:37.508060+00:00</create_date>
        <update_date>2026-01-08T15:10:29.771780+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcolombardi-rm/topog4qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcolombardi-rm/topog4qgis]]></repository>
        <tags><![CDATA[vector,cad,catasto,survey,pregeo]]></tags>
        <downloads>13753</downloads>
        <average_vote>4.187238297606399</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Pic2Map" version="3.3" plugin_id="564">
        <description><![CDATA[Compute the 3D orientation of a picture and provide the interaction between the picture and the map.]]></description>
        <about><![CDATA[Pic2map has two goals. First, it is used to compute the location and orientation of a picture with 3D Ground Control Points. The orientation can be saved in a Google Earth format. Second, it provides the interaction between the map and the picture through a Digital Elevation Model. Vector layers can be overlaid on the picture, geographic vector layer can be digitized directly in the picture, the picture can be &quot;orthorectified&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/iggroup/pic2map]]></homepage>
        <file_name>Pic2Map.3.3.zip</file_name>
        <icon>/media/packages/2025/icon_hA9WG1u.png</icon>
        <author_name><![CDATA[Gillian Milani, Timothée Produit, Frédérick Pineault, Johary Rakotomalala, Raphaël David]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Pic2Map/version/3.3/download/</download_url>
        <uploaded_by><![CDATA[frpin33]]></uploaded_by>
        <create_date>2014-06-26T08:56:27.484551+00:00</create_date>
        <update_date>2020-04-16T19:54:06.729481+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/iggroup/pic2map/issues/]]></tracker>
        <repository><![CDATA[https://github.com/iggroup/pic2map/]]></repository>
        <tags><![CDATA[orientation,picture,perspective,monoplotting,orthorectification,pose estimation]]></tags>
        <downloads>21625</downloads>
        <average_vote>4.163866166128424</average_vote>
        <rating_votes>61</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Maps Printer" version="0.4" plugin_id="578">
        <description><![CDATA[Export several print layouts to pdf, svg or image file (jpg, tif, png...) format in one click, from the current project or from projects in a folder.]]></description>
        <about><![CDATA[Exporting a print layout requires to open it, launch the export, wait till it finishes. This procedure can become boring, repulsive and time consuming when you have to export a lot of print layouts. Maps Printer offers a quick way to export print layouts, without opening each one before: just check them in a list and launch their export to the file format you wish (pdf, svg, jpg, tif, png...). Furthermore, you can export print layouts from project files within a directory.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://delazj.github.io/MapsPrinter/]]></homepage>
        <file_name>MapsPrinter.0.4.zip</file_name>
        <icon>/media/packages/2025/icon_ZY0eKBw.png</icon>
        <author_name><![CDATA[Harrissou Sant-anna (Conseil d&#x27;Architecture, d&#x27;Urbanisme et de l&#x27;Environnement du Maine-et-Loire)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MapsPrinter/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[delazj]]></uploaded_by>
        <create_date>2014-07-30T18:27:38.236127+00:00</create_date>
        <update_date>2018-06-26T20:40:45.159862+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DelazJ/MapsPrinter/issues]]></tracker>
        <repository><![CDATA[https://github.com/DelazJ/MapsPrinter]]></repository>
        <tags><![CDATA[map,composer,export,print,layout]]></tags>
        <downloads>135219</downloads>
        <average_vote>4.324619160790119</average_vote>
        <rating_votes>77</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuickOSM" version="2.0.0-beta1" plugin_id="579">
        <description><![CDATA[Download OSM data thanks to the Overpass API. You can also open local OSM or PBF files. A special parser, on top of OGR, is used to let you see all OSM keys available.]]></description>
        <about><![CDATA[Execute customs Overpass queries in QGIS to get OSM data.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://quickosm.github.io/QuickOSM/]]></homepage>
        <file_name>QuickOSM.2.0.0-beta1.zip</file_name>
        <icon>/media/packages/2026/QuickOSM_Ig42xKJ.svg</icon>
        <author_name><![CDATA[Etienne Trimaille]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QuickOSM/version/2.0.0-beta1/download/</download_url>
        <uploaded_by><![CDATA[Gustry]]></uploaded_by>
        <create_date>2014-07-31T17:15:25.720029+00:00</create_date>
        <update_date>2021-08-03T10:35:45.485620+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/QuickOSM/QuickOSM/issues]]></tracker>
        <repository><![CDATA[https://github.com/QuickOSM/QuickOSM/]]></repository>
        <tags><![CDATA[openstreetmap,josm,osm,processing,download,overpass,pbf,remote,osmdownload,modeler]]></tags>
        <downloads>2867639</downloads>
        <average_vote>4.656032110048712</average_vote>
        <rating_votes>1599</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="norGIS ALKIS-Einbindung" version="2.0.20" plugin_id="580">
        <description><![CDATA[This plugin is dealing with German cadastre data (therefore not localized)]]></description>
        <about><![CDATA[QGIS-Erweiterung zur ALKIS-Einbindung
Funktion:
* Einbinden von durch norGIS ALKIS-Import vorbereitete Datenbanken.
* Einbinden in QGIS
* Export von UMN-Mapfiles (optional, erfordert python-mapscript)
* Signaturierung nach GeoInfoDok
* Eigentümerabfrage (Einzelabfragen)
* Client für norGIS Liegenschaftsbuch]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.norbit.de/75/]]></homepage>
        <file_name>alkisplugin.2.0.20.zip</file_name>
        <icon>/media/packages/2026/logo_910LeuB.svg</icon>
        <author_name><![CDATA[Jürgen E. Fischer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/alkisplugin/version/2.0.20/download/</download_url>
        <uploaded_by><![CDATA[jef]]></uploaded_by>
        <create_date>2014-08-01T12:09:28.233250+00:00</create_date>
        <update_date>2018-02-18T12:20:06.868967+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/norBIT/alkisplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/norBIT/alkisplugin]]></repository>
        <tags><![CDATA[cadastre,nas,germany,alkis,postnas]]></tags>
        <downloads>117461</downloads>
        <average_vote>4.311440070163359</average_vote>
        <rating_votes>122</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dissolve with stats" version="0.5" plugin_id="591">
        <description><![CDATA[Group entities with same value for one field, calculate statistics on the other fields]]></description>
        <about><![CDATA[Choose a layer and a field for this layer. This plugin will merge all entities with the same value for this field, and can calculate statistics for each remaining field : min, max, sum, count, mean, median, standard deviation, first, last, concatenation and uniquification. Uniquification concatenate all values from a field without any duplicate. For example, from a polygon layer of provinces, with a country ID field and a population field, you can create a country layer with the sum of the population of its provinces for each country.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/UMR-PASSAGES/DissolveWithStats/]]></homepage>
        <file_name>DissolveWithStats.0.5.zip</file_name>
        <icon>/media/packages/2019/icon_PzspbvL.png</icon>
        <author_name><![CDATA[Julie Pierson, UMR 5319 Passages, CNRS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DissolveWithStats/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[jpierson]]></uploaded_by>
        <create_date>2014-08-29T07:52:51.486061+00:00</create_date>
        <update_date>2019-03-29T09:20:06.410568+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UMR-PASSAGES/DissolveWithStats/issues]]></tracker>
        <repository><![CDATA[https://github.com/juliepierson/DissolveWithStats]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>65390</downloads>
        <average_vote>3.6622901001285695</average_vote>
        <rating_votes>77</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenQuake Integrated Risk Modelling Toolkit" version="3.25.1" plugin_id="593">
        <description><![CDATA[Tools to drive the OpenQuake Engine, running calculations and visualizing their parameters and outputs]]></description>
        <about><![CDATA[This plugin allows users to drive OpenQuake Engine calculations (https://github.com/gem/oq-engine) of physical hazard and risk, and to load the corresponding outputs as QGIS layers. For those outputs, data visualization tools are provided.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/svir/]]></homepage>
        <file_name>svir.3.25.1.zip</file_name>
        <icon>/media/packages/2026/icon_maMVrn2.svg</icon>
        <author_name><![CDATA[GEM Foundation]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/svir/version/3.25.1/download/</download_url>
        <uploaded_by><![CDATA[gemfoundation]]></uploaded_by>
        <create_date>2014-09-09T14:40:04.919264+00:00</create_date>
        <update_date>2026-03-02T15:47:25.092802+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gem/oq-irmt-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/gem/oq-irmt-qgis]]></repository>
        <tags><![CDATA[risk,earthquake,openquake,gem,resilience,hazard,multi-peril,oq]]></tags>
        <downloads>134864</downloads>
        <average_vote>4.63785107153325</average_vote>
        <rating_votes>58</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NNJoin" version="3.0.1" plugin_id="597">
        <description><![CDATA[Nearest neighbour join.  Join vector layers based on nearest neighbour relationships.]]></description>
        <about><![CDATA[The NNPlugin joins two vector layers (the input and the join layer) based on nearest neighbour relationships.  All geometry type combinations are supported.  A feature from the input layer is joined to the nearest feature in the join layer.  The result of the join is a new vector layer with the same geometry type and coordinate reference system as the input layer.  Joining layers with different Coordinate Reference Systems (CRS) is supported, as long as the join layer coordinate system is a projected CRS.  The join and distance calculations is performed using the join layer CRS.  Self joins are supported. For self joins, each feature in the layer is joined to its nearest neighbour within the layer.  A spatial index (QgsSpatialIndex) on the join layer is used to speed up the join for layers with non-multi-geometry types.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://arken.nmbu.no/~havatv/gis/qgisplugins/NNJoin]]></homepage>
        <file_name>NNJoin.3.0.1.zip</file_name>
        <icon>/media/packages/2019/nnjoin_dXTTrHS.png</icon>
        <author_name><![CDATA[Håvard Tveite, NMBU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NNJoin/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[havatv]]></uploaded_by>
        <create_date>2014-09-15T16:47:46.200134+00:00</create_date>
        <update_date>2017-01-17T15:15:30.666073+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/havatv/qgisnnjoinplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/havatv/qgisnnjoinplugin.git]]></repository>
        <tags><![CDATA[vector,closest,distance,analysis,join,vector layer,neighbour,nearest,spatial join,neighbor]]></tags>
        <downloads>193816</downloads>
        <average_vote>4.255004999966443</average_vote>
        <rating_votes>149</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VectorMCDA" version="3.0.0" plugin_id="624">
        <description><![CDATA[Performs geographic multi-criteria decision making. Plugin is now deprecated, the MCDA functions are all implemented and extended in SSAM plugin]]></description>
        <about><![CDATA[VectorMCDA is a QGIS plugin that uses different MCDA algorithms to perform a multicriteria analysis in a geographic environmental]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://maplab.alwaysdata.net/geomcda.html]]></homepage>
        <file_name>VectorMCDA.3.0.0.zip</file_name>
        <icon>/media/packages/2020/Tree.png</icon>
        <author_name><![CDATA[author=Gianluca Massei]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VectorMCDA/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[gianluca]]></uploaded_by>
        <create_date>2014-10-13T21:18:31.737682+00:00</create_date>
        <update_date>2019-08-25T10:30:54.735677+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/gmassei/VectorMCDA/issues/]]></tracker>
        <repository><![CDATA[https://github.com/gmassei/VectorMCDA]]></repository>
        <tags><![CDATA[shapefile,geometry,geographic mcda,layers,sustainability assessment]]></tags>
        <downloads>35323</downloads>
        <average_vote>4.593606449798444</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Processing Workflows" version="2.0.0" plugin_id="638">
        <description><![CDATA[A plugin that adds workflow functionality to Processing.]]></description>
        <about><![CDATA[Plugin for QGIS Processing Toolbox for creating processing workflows and workflow collections. Workflows provide step-by-step instructions and guidance for less experienced users thus facilitating capacity building in Earth observation data analysis and GIS tasks.

This plugin is part of the Water Observation Information System (WOIS) developed under the TIGER-NET project and GlobWetland Toolbox developed under the GlobWetland Agrica project. Both projects were funded by the European Space Agency as part of a long-term initiative aiming at promoting the use of Earth Observation (EO) for improved Integrated Water Resources Management (IWRM) and environmental monitoring and reporting in Africa. Copyright (C) 2014-2018 DHI GRAS (www.dhi-gras.com)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DHI-GRAS/qgis-processing-workflow/blob/master/README.md]]></homepage>
        <file_name>processing_workflow.2.0.0.zip</file_name>
        <icon>/media/packages/2022/icon_7jLNZMJ.png</icon>
        <author_name><![CDATA[Radoslaw Guzinski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_workflow/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[radosuav]]></uploaded_by>
        <create_date>2014-11-18T11:41:44.217602+00:00</create_date>
        <update_date>2020-07-10T09:53:45.217902+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DHI-GRAS/processing_workflow/issues]]></tracker>
        <repository><![CDATA[https://github.com/DHI-GRAS/processing_workflow]]></repository>
        <tags><![CDATA[processing,workflow,instructions]]></tags>
        <downloads>40720</downloads>
        <average_vote>3.9998095328793863</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mutant" version="3.0.3" plugin_id="662">
        <description><![CDATA[Display values from loaded raster layers in a table or plot
optionally ordered by time which can be extracted from the layername (or
other sources).
Short manual available at the end of: http://unigis.sbg.ac.at/files/Mastertheses/Full/102723.pdf]]></description>
        <about><![CDATA[Display raster layer values at current mouse position ordered by time.
Time can be extracted on the fly from Layer(File)name or other sources.
Used Layers can easily be selected by using expressions.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mach0/mutant]]></homepage>
        <file_name>mutant.3.0.3.zip</file_name>
        <icon>/media/packages/2020/icon_hlyXnaN.svg</icon>
        <author_name><![CDATA[Werner Macho]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mutant/version/3.0.3/download/</download_url>
        <uploaded_by><![CDATA[macho]]></uploaded_by>
        <create_date>2015-01-11T21:45:14.376720+00:00</create_date>
        <update_date>2020-09-25T07:47:16.821658+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mach0/mutant/issues]]></tracker>
        <repository><![CDATA[https://github.com/mach0/mutant]]></repository>
        <tags><![CDATA[raster]]></tags>
        <downloads>15687</downloads>
        <average_vote>4.434589800443459</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Multi-distance buffer" version="3.0.3" plugin_id="678">
        <description><![CDATA[Create multiple distance buffers]]></description>
        <about><![CDATA[The Multi-Distance Buffer plugin creates a multi-distance buffer vector layer from an input vector layer and a set of distances.  The result layer consists of bands (donut type) of regions according to the buffer distances provided. If 100 and 200 are provided as distances, the result layer will consist of two bands - one will contain all areas that are within 100 units from the geometries of the input vector layer, the other will contain all areas that are from 100 to 200 units from the geometries of the input vector layer.  The user can choose to only buffer around selected features.  Negative buffer distances are allowed for polygon layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://arken.nmbu.no/~havatv/gis/qgisplugins/MultiDistanceBuffer/]]></homepage>
        <file_name>MultiDistanceBuffer.3.0.3.zip</file_name>
        <icon>/media/packages/2018/multidistbuff_VtIFJiI.png</icon>
        <author_name><![CDATA[Håvard Tveite, NMBU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MultiDistanceBuffer/version/3.0.3/download/</download_url>
        <uploaded_by><![CDATA[havatv]]></uploaded_by>
        <create_date>2015-02-10T18:02:14.853187+00:00</create_date>
        <update_date>2017-01-17T14:18:13.422058+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/havatv/qgismultidistancebufferplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/havatv/qgismultidistancebufferplugin.git]]></repository>
        <tags><![CDATA[vector,distance,buffer,multiple,multi,ring,zone,proximity]]></tags>
        <downloads>139204</downloads>
        <average_vote>4.166603536310055</average_vote>
        <rating_votes>66</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Catalog on the fly" version="2.5" plugin_id="722">
        <description><![CDATA[Automatically adds images that are in the catalog layer that intersect with the map area.]]></description>
        <about><![CDATA[This plugin work with catalog layer.
Catalog layer need be have the geometry type of polygon and have a field, the image address(type string),
and optionaly can be have a field with the date of image.
The field, image address, can be a local files or WEB address. The WEB address need be a XML of
type GDAL_WMS(https://gdal.org/drivers/raster/wms.html)

This plugin is developed on the demand of IBAMA(Brazilian Institute of Environment and Renewable Natural Resources)
http://www.ibama.gov.br]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/catalog-on-the-fly/wiki]]></homepage>
        <file_name>catalogotf_plugin.2.5.zip</file_name>
        <icon>/media/packages/2021/catalogotf_8Sbz7zQ.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/catalogotf_plugin/version/2.5/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2015-03-31T11:16:26.276327+00:00</create_date>
        <update_date>2019-02-21T13:44:16.485539+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/catalog-on-the-fly/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/catalog-on-the-fly]]></repository>
        <tags><![CDATA[raster,catalog,satellite,ibama]]></tags>
        <downloads>28787</downloads>
        <average_vote>4.66649383356172</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="STEM" version="3.0.0" plugin_id="728">
        <description><![CDATA[Sistema di TElerilevamento e di Monitoraggio del territorio e dell&#x27;ambiente trentino]]></description>
        <about><![CDATA[Plugin to analize hyperspectral and lidar data for Provincia Autonoma di Trento, Italian language is used for plugin interface]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ProvinciaAutonomaTrento/STEM]]></homepage>
        <file_name>stem.3.0.0.zip</file_name>
        <icon>/media/packages/2022/icon_LXxXCmD.svg</icon>
        <author_name><![CDATA[Angelo Carriero, Michele Fioretto, Fabio Roncato, Thomas Maffei, Stefano Piffer, Michele Dalponte]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/stem/version/3.0.0/download/</download_url>
        <uploaded_by><![CDATA[trilogis]]></uploaded_by>
        <create_date>2015-04-10T13:42:38.448927+00:00</create_date>
        <update_date>2022-06-21T07:39:03.903010+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ProvinciaAutonomaTrento/STEM/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/trilogis/stem]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>31833</downloads>
        <average_vote>4.374453193350831</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spreadsheet Layers" version="2.1.0-alpha1" plugin_id="766">
        <description><![CDATA[Load layers from spreadsheet files (*.ods, *.xls, *.xlsx)]]></description>
        <about><![CDATA[This plugin adds a &quot;Add spreadsheet layer&quot; entry in &quot;Layer&quot; / &quot;Add new Layer&quot; menu and a corresponding button in the &quot;Layers&quot; toolbar.
These two links open the same dialog to load a layer from a spreadsheet file (*.ods, *.xls, *.xlsx) with some options (use header at first line, ignore some rows and optionally load geometry from x and y fields).
When this dialog is accepted, it creates a new GDAL VRT file in same folder as the source data file and layer name, expanded with a .vrt suffix which is loaded into QGIS using OGR VRT driver.
When reusing the same file twice, the dialog loads its values from the existing .vrt file.
No need to install additional dependencies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/camptocamp/QGIS-SpreadSheetLayers]]></homepage>
        <file_name>SpreadsheetLayers.2.1.0-alpha1.zip</file_name>
        <icon>/media/packages/2024/mActionAddSpreadsheetLayer_pp67Ips.svg</icon>
        <author_name><![CDATA[Camptocamp]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SpreadsheetLayers/version/2.1.0-alpha1/download/</download_url>
        <uploaded_by><![CDATA[amorvan]]></uploaded_by>
        <create_date>2015-06-03T12:03:00.836659+00:00</create_date>
        <update_date>2022-09-04T13:38:40.072713+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/camptocamp/QGIS-SpreadSheetLayers/issues]]></tracker>
        <repository><![CDATA[https://github.com/camptocamp/QGIS-SpreadSheetLayers]]></repository>
        <tags><![CDATA[excel,xlsx,ods,xls,spreadsheet,calc]]></tags>
        <downloads>614825</downloads>
        <average_vote>4.255162631810042</average_vote>
        <rating_votes>435</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Toggle Active Layer" version="1.1" plugin_id="782">
        <description><![CDATA[Plugin for toggle visibility of active layer]]></description>
        <about><![CDATA[This plugin is a tool for toggle visibility of active layer, for example, you can see the difference with others layers below, when pressed and released.
This plugin is developed on the demand of IBAMA(Brazilian Institute of Environment and Renewable Natural Resources)
http://www.ibama.gov.br]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/toggleactivelayer_plugin/wiki]]></homepage>
        <file_name>toggleactivelayer_plugin.1.1.zip</file_name>
        <icon>/media/packages/2020/toggleactivelayer.png</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/toggleactivelayer_plugin/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2015-06-29T16:58:12.593104+00:00</create_date>
        <update_date>2018-10-23T21:35:46.265461+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/toggleactivelayer_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/toggleactivelayer_plugin]]></repository>
        <tags><![CDATA[visibility,layers,ibama]]></tags>
        <downloads>15486</downloads>
        <average_vote>4.666277810182485</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CLUZ4" version="2026.3.17" plugin_id="791">
        <description><![CDATA[CLUZ for QGIS v4]]></description>
        <about><![CDATA[The CLUZ (Conservation Land-Use Zoning) plugin lets people design conservation area and nature recovery networks through on-screen conservation planning. It also acts as an interface for the Marxan and Marxan with Zones software package.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://cluz-systematic-conservation-planning.github.io/]]></homepage>
        <file_name>cluz.2026.3.17.zip</file_name>
        <icon>/media/packages/2016/marxan_logo_small.png</icon>
        <author_name><![CDATA[Bob Smith]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cluz/version/2026.3.17/download/</download_url>
        <uploaded_by><![CDATA[anotherbobsmith]]></uploaded_by>
        <create_date>2015-07-12T10:58:43.615991+00:00</create_date>
        <update_date>2026-03-17T20:43:08.822138+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CLUZ-systematic-conservation-planning/]]></tracker>
        <repository><![CDATA[https://github.com/CLUZ-systematic-conservation-planning/]]></repository>
        <tags><![CDATA[marxan,spatial conservation prioritisation,systematic conservation planning,gap analysis]]></tags>
        <downloads>31087</downloads>
        <average_vote>4.812199237547653</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Catalog Planet Labs" version="2.1.1" plugin_id="796">
        <description><![CDATA[This plugin lets you get images from the Planet Labs API(Version 1).]]></description>
        <about><![CDATA[This plugin lets you get images from the Planet Labs API(Version 1), by performing searches for images that intersect with the extent of the map window.
It is a product from Planet Explorers program (https://www.planet.com/explorers/), it is not an official Planet Labs&#x27;s plugin.
You need a key from Planet Labs in order to use this plugin.
This plugin will be create polygon layer (Catalog of images) from intersect with the extent of the map window.
With this plugin, you can download full images(type analytic) and view the XYZ Tiles services(Montly mosaics and images).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/catalogpl_plugin/wiki]]></homepage>
        <file_name>catalogpl_plugin.2.1.1.zip</file_name>
        <icon>/media/packages/2019/planet_5SO6Dby.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/catalogpl_plugin/version/2.1.1/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2015-07-22T13:35:40.061560+00:00</create_date>
        <update_date>2019-12-01T15:59:12.860634+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/catalogpl_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/catalogpl_plugin]]></repository>
        <tags><![CDATA[raster,catalog,satellite,planet labs]]></tags>
        <downloads>35772</downloads>
        <average_vote>4.407244176141624</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bulk vector export as SLD and GeoJson" version="0.6.4" plugin_id="810">
        <description><![CDATA[Export all vector layers as GeoJSON and SLD.]]></description>
        <about><![CDATA[This plugin exports all vector layers as GeoJSON with their SLD styling. Active raster layers are exported according to their position in the layer stack as multiband GeoTIFFs. The resulting files are zipped into a file named after the QGIS project. The layer order and additional information is stored in a metadata.json. Basemap PNG tiles are ignored at export.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.3</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/orfon/bulkvectorexport/]]></homepage>
        <file_name>bulkvectorexportwithstyle.0.6.4.zip</file_name>
        <icon>/media/packages/2015/icon_Z4ripvG.png</icon>
        <author_name><![CDATA[Simon Oberhammer, Günter Hack]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bulkvectorexportwithstyle/version/0.6.4/download/</download_url>
        <uploaded_by><![CDATA[oberhamsi]]></uploaded_by>
        <create_date>2015-07-30T08:22:52.920625+00:00</create_date>
        <update_date>2022-05-23T10:13:04.478689+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/orfon/bulkvectorexport/issues]]></tracker>
        <repository><![CDATA[https://github.com/orfon/bulkvectorexport]]></repository>
        <tags><![CDATA[vector,raster,export,style,crs,sld,geotiff]]></tags>
        <downloads>38297</downloads>
        <average_vote>3.685608982600497</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Complex GML Info" version="0.5" plugin_id="844">
        <description><![CDATA[Display the featureinfo of complex GML featuretypes.]]></description>
        <about><![CDATA[Display the featureinfo of complex GML featuretypes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/qgisinspiretools/qgis-complex-gmlinfo-plugin]]></homepage>
        <file_name>ComplexGmlInfo.0.5.zip</file_name>
        <icon>/media/packages/2025/icon_I2811ju.png</icon>
        <author_name><![CDATA[Juergen Weichand, Tim Vinzing, Edward Nash, Wilhelm Beiche]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ComplexGmlInfo/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[ejn]]></uploaded_by>
        <create_date>2015-09-19T11:16:27.460860+00:00</create_date>
        <update_date>2020-04-20T13:06:00.607446+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/qgisinspiretools/qgis-complex-gmlinfo-plugin/issues]]></tracker>
        <repository><![CDATA[http://github.com/qgisinspiretools/qgis-complex-gmlinfo-plugin]]></repository>
        <tags><![CDATA[wfs,inspire,gml,gml 2.0,gml 3.2,gml 3.1]]></tags>
        <downloads>8424</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PosiView" version="0.89.1" plugin_id="848">
        <description><![CDATA[PosiView tracks multiple mobile objects and vehicles and displays their position on the canvas]]></description>
        <about><![CDATA[Track multiple objects and vehicles and display them as shapes and points on the canvas]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.marum.de/Meerestechnik.html]]></homepage>
        <file_name>PosiView.0.89.1.zip</file_name>
        <icon>/media/packages/2024/icon_0NjOUse.png</icon>
        <author_name><![CDATA[Jens Renken (Marum, University of Bremen)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PosiView/version/0.89.1/download/</download_url>
        <uploaded_by><![CDATA[jrenken]]></uploaded_by>
        <create_date>2015-09-22T14:44:41.155816+00:00</create_date>
        <update_date>2018-07-06T12:37:48.152726+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jrenken/qgis-PosiView/issues]]></tracker>
        <repository><![CDATA[https://github.com/jrenken/qgis-PosiView]]></repository>
        <tags><![CDATA[network,tracking,mapcanvas,real time]]></tags>
        <downloads>28424</downloads>
        <average_vote>4.310196200131029</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Literature Mapper" version="0.3.2" plugin_id="856">
        <description><![CDATA[Add spatial locations to the citations in your Zotero database.]]></description>
        <about><![CDATA[Literature Mapper inserts geoJSON geometry strings into an online Zotero database to facilitate the mapping of study site locations. The locations stored in the database are displayed on the map canvas in virtual point and multipoint shapefiles on start up.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://micheletobias.github.io/maps/LiteratureMapper.html]]></homepage>
        <file_name>LiteratureMapper.0.3.2.zip</file_name>
        <icon>/media/packages/2019/icon_ew5XOn1.png</icon>
        <author_name><![CDATA[Michele Tobias &amp; Alex Mandel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LiteratureMapper/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[micheletobias]]></uploaded_by>
        <create_date>2015-10-13T05:35:19.686022+00:00</create_date>
        <update_date>2019-03-22T21:33:34.056316+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MicheleTobias/LiteratureMapper/issues]]></tracker>
        <repository><![CDATA[https://github.com/MicheleTobias/LiteratureMapper]]></repository>
        <tags><![CDATA[georeference,geolocate,research,zotero]]></tags>
        <downloads>6646</downloads>
        <average_vote>4.28510212826739</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapSwipe Tool" version="1.1" plugin_id="858">
        <description><![CDATA[Swipe active layer with others layers]]></description>
        <about><![CDATA[This plugin is a map tool for swipe active layer.
The active layer, or group, will appear above all others.
This plugin is developed of collaborative form with IBAMA [1] and APPLIED TECHNOLOGY CO., LTD [2].
[1] http://www.ibama.gov.br
[2] http://www.apptec.co.jp]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/mapswipetool_plugin/wiki]]></homepage>
        <file_name>mapswipetool_plugin.1.1.zip</file_name>
        <icon>/media/packages/2024/mapswipetool.png</icon>
        <author_name><![CDATA[Hirofumi Hayashi and Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapswipetool_plugin/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2015-10-14T14:12:33.243259+00:00</create_date>
        <update_date>2018-10-23T21:36:26.646642+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/mapswipetool_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/mapswipetool_plugin]]></repository>
        <tags><![CDATA[visibility,layers,ibama,swipe,applied technology co.]]></tags>
        <downloads>219279</downloads>
        <average_vote>4.489479094551786</average_vote>
        <rating_votes>143</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WKT Bulk Loader" version="0.1" plugin_id="866">
        <description><![CDATA[A plugin to bulk load WKT files]]></description>
        <about><![CDATA[Give this plugin a directory and it will load all the .wkt files in it]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>1.8.0</qgis_minimum_version>
        <qgis_maximum_version>9.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/siddjain/wkt-plugin]]></homepage>
        <file_name>WKTBulkLoader.0.1.zip</file_name>
        <icon>/media/packages/2016/icon_ENgLZUE.png</icon>
        <author_name><![CDATA[Siddharth Jain]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/WKTBulkLoader/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[siddjain]]></uploaded_by>
        <create_date>2015-11-04T21:31:18.527991+00:00</create_date>
        <update_date>2015-11-04T21:31:18.852674+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/siddjain/wkt-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/siddjain/wkt-plugin]]></repository>
        <tags><![CDATA[wkt]]></tags>
        <downloads>4933</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Place Marker" version="0.8.1" plugin_id="907">
        <description><![CDATA[Place Marker provides a convenient way of adding placemarks to a vector layer.]]></description>
        <about><![CDATA[Place Marker provides a quick and easy way of creating point layers and adding features with preset attributes.
Unlike using the built-in editing tools, the created layer contains the necessary attributes, and newly added features are
committed directly to the data store and should be available immediately on other QGIS instances.
It addresses to usage scenarios where QGIS in conjunction with the &quot;PosiView&quot; plugin serves as an online visualization
and navigation tool, e.g for scientific subsea surveys with remotely operated or autonomous vehicles.
It allows marking and sharing interesting places and events during the dive.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.marum.de/Meerestechnik.html]]></homepage>
        <file_name>PlaceMarker.0.8.1.zip</file_name>
        <icon>/media/packages/2023/icon_3r6Sbcg.png</icon>
        <author_name><![CDATA[Jens Renken (Marum, University of Bremen)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PlaceMarker/version/0.8.1/download/</download_url>
        <uploaded_by><![CDATA[jrenken]]></uploaded_by>
        <create_date>2015-12-22T11:19:32.971399+00:00</create_date>
        <update_date>2018-07-06T09:40:46.703841+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jrenken/qgis-PlaceMarker/issues]]></tracker>
        <repository><![CDATA[https://github.com/jrenken/qgis-PlaceMarker]]></repository>
        <tags><![CDATA[vector,feature,point]]></tags>
        <downloads>24599</downloads>
        <average_vote>3.3845286018307226</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CKAN-Browser" version="0.3.94" plugin_id="922">
        <description><![CDATA[Download and display Open Data from CKAN Metadata Servers]]></description>
        <about><![CDATA[Download and display Open Data from CKAN Metadata Servers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BergWerkGIS/QGIS-CKAN-Browser]]></homepage>
        <file_name>CKANBrowser.0.3.94.zip</file_name>
        <icon>/media/packages/2019/icon_dtHQwq5.png</icon>
        <author_name><![CDATA[BergWerkGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CKANBrowser/version/0.3.94/download/</download_url>
        <uploaded_by><![CDATA[BergWerkGis]]></uploaded_by>
        <create_date>2016-01-27T10:06:06.167260+00:00</create_date>
        <update_date>2019-07-24T10:56:38.179431+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BergWerkGIS/QGIS-CKAN-Browser/issues]]></tracker>
        <repository><![CDATA[https://github.com/BergWerkGIS/QGIS-CKAN-Browser]]></repository>
        <tags><![CDATA[open data,ckan]]></tags>
        <downloads>23413</downloads>
        <average_vote>4.31798554611154</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GBIF Occurrences" version="0.3.3" plugin_id="925">
        <description><![CDATA[Retrieve data from GBIF webservices (occurences API) directly within QGIS.]]></description>
        <about><![CDATA[GBIF Occurrences is a QGIS plugin to directly download and import GBIF occurrence data from the application interface.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BelgianBiodiversityPlatform/qgis-gbif-api]]></homepage>
        <file_name>qgisgbifapi.0.3.3.zip</file_name>
        <icon>/media/packages/2024/icon_EcO1W5z.png</icon>
        <author_name><![CDATA[Nicolas Noé - Belgian Biodiversity Platform]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisgbifapi/version/0.3.3/download/</download_url>
        <uploaded_by><![CDATA[niconoe]]></uploaded_by>
        <create_date>2016-02-03T12:48:01.121920+00:00</create_date>
        <update_date>2024-07-15T09:13:09.034625+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BelgianBiodiversityPlatform/qgis-gbif-api/issues]]></tracker>
        <repository><![CDATA[https://github.com/BelgianBiodiversityPlatform/qgis-gbif-api]]></repository>
        <tags><![CDATA[ecology,webservices,open data,science,api,biodiversity data,occurrence,gbif]]></tags>
        <downloads>70724</downloads>
        <average_vote>4.469629248041696</average_vote>
        <rating_votes>66</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeODinQGIS" version="2.1" plugin_id="957">
        <description><![CDATA[This plugin connects GeODin with QGIS]]></description>
        <about><![CDATA[GeODin is an industry standard software for the collection, interpretation and presentation of geo-information. GeODinQGIS is an additional tool for the work with GeODin. It connects GeODin with QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geodin.com]]></homepage>
        <file_name>GeODinQGIS.2.1.zip</file_name>
        <icon>/media/packages/2024/logo_TUe58l9.png</icon>
        <author_name><![CDATA[Fugro Germany Land GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeODinQGIS/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[geodinteam]]></uploaded_by>
        <create_date>2016-03-11T11:43:03.089529+00:00</create_date>
        <update_date>2021-12-09T08:53:19.816938+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeODinTeam/GeODinQGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeODinTeam/GeODinQGIS]]></repository>
        <tags><![CDATA[database,analysis,water,geology,hydrogeology,environmental,borehole,civil engineering,monitoring wells,geodin]]></tags>
        <downloads>21400</downloads>
        <average_vote>3.639951467313769</average_vote>
        <rating_votes>75</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QAD" version="3.0" plugin_id="976">
        <description><![CDATA[Quantum Aided Design: cad like commands in QGIS]]></description>
        <about><![CDATA[Quantum Aided Design: cad like commands in QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qadplugin.wordpress.com]]></homepage>
        <file_name>qad.3.0.zip</file_name>
        <icon>/media/packages/2025/qad_A9mX615.png</icon>
        <author_name><![CDATA[gam17]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qad/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[gam17]]></uploaded_by>
        <create_date>2016-04-13T11:36:28.810797+00:00</create_date>
        <update_date>2020-02-26T20:58:11.755511+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gam17/QAD/issues]]></tracker>
        <repository><![CDATA[https://github.com/gam17/QAD]]></repository>
        <tags><![CDATA[vector,cad,dimensioning,polygon,polyline,digitizing,circle,ellipse,rectangle,snap]]></tags>
        <downloads>255970</downloads>
        <average_vote>4.298230532524448</average_vote>
        <rating_votes>285</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NextGIS Connect" version="2.0.99" plugin_id="1009">
        <description><![CDATA[Turn QGIS into a collaborative GIS workspace. Publish projects, edit shared data, and sync in real time with NextGIS Web.]]></description>
        <about><![CDATA[NextGIS Connect transforms QGIS into a multi-user, server-backed GIS environment integrated with NextGIS Web.
With NextGIS Connect you can:
- Publish QGIS projects to NextGIS Web while preserving layer structure, data sources, and styles.
- Deploy ready-to-work QGIS projects from resources hosted in NextGIS Web.
- Edit server-side data using standard QGIS editing tools.
- Multiple users can edit the same layers from different QGIS installations.
- See teammates’ edits as they happen and keep QGIS in sync with the server.
- Detect and resolve edit conflicts to avoid accidental data loss.
- Manage NextGIS Web resources from QGIS (create/rename/delete/organize).
- Update Web Map styles from QGIS to keep cartography consistent.
- Search/filter NextGIS Web resources by attributes like name, type, owner, etc.

Create your own cloud instance of NextGIS Web: https://nextgis.com/pricing-base/
NextGIS Web on-premise: https://nextgis.com/pricing/
NextGIS Web GitHub: https://github.com/nextgis/nextgisweb

Contact us: nextgis.com/contact]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nextgis/nextgis_connect]]></homepage>
        <file_name>nextgis_connect.2.0.99.zip</file_name>
        <icon>/media/packages/2026/connect_logo_Wkis5xr.svg</icon>
        <author_name><![CDATA[NextGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nextgis_connect/version/2.0.99/download/</download_url>
        <uploaded_by><![CDATA[nextgis]]></uploaded_by>
        <create_date>2016-05-26T07:15:05.384952+00:00</create_date>
        <update_date>2024-10-06T14:51:48.734338+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nextgis/nextgis_connect/issues]]></tracker>
        <repository><![CDATA[https://github.com/nextgis/nextgis_connect]]></repository>
        <tags><![CDATA[web,server,tool,nextgis]]></tags>
        <downloads>119890</downloads>
        <average_vote>4.648886713971128</average_vote>
        <rating_votes>94</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS GML Application Schema Toolbox" version="1.4.0-beta6" plugin_id="1046">
        <description><![CDATA[Consumption and use of GML complex features like INSPIRE harmonised data (vector), GeoSciML within QGIS]]></description>
        <about><![CDATA[This plugins allows to import Complex Features streams in QGIS either through a native XML mode or through a conversion to a relational database model.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://brgm.github.io/gml_application_schema_toolbox/]]></homepage>
        <file_name>gml_application_schema_toolbox.1.4.0-beta6.zip</file_name>
        <icon>/media/packages/2022/mActionAddGMLLayer_QPe9Auf.svg</icon>
        <author_name><![CDATA[BRGM, Oslandia, Copernicus, Camptocamp, Spatialys, titellus]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gml_application_schema_toolbox/version/1.4.0-beta6/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2016-06-27T14:17:30.186023+00:00</create_date>
        <update_date>2022-09-23T03:54:28.374019+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BRGM/gml_application_schema_toolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/BRGM/gml_application_schema_toolbox]]></repository>
        <tags><![CDATA[inspire,gml,application schema,waterml,complex features,geosciml,gmlas]]></tags>
        <downloads>58317</downloads>
        <average_vote>4.159958400415996</average_vote>
        <rating_votes>100</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Projestions" version="0.4.2" plugin_id="1052">
        <description><![CDATA[Projestions: projection suggestions]]></description>
        <about><![CDATA[Projestions (projection + suggestions) for your active map layer or project using the EPSG area of use data. Select which geometry to send to the API for projestions, then the top suggestions are displayed. Select one of the suggested projections to set your project&#x27;s projection.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://projest.io/ns/]]></homepage>
        <file_name>Projestions.0.4.2.zip</file_name>
        <icon>/media/packages/2019/icon_iWAgV8S.png</icon>
        <author_name><![CDATA[Eric Brelsford]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Projestions/version/0.4.2/download/</download_url>
        <uploaded_by><![CDATA[ebrelsford]]></uploaded_by>
        <create_date>2016-07-09T18:17:31.842205+00:00</create_date>
        <update_date>2018-03-08T21:13:32.583253+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/ebrelsford/qgis-projestions/issues]]></tracker>
        <repository><![CDATA[http://github.com/ebrelsford/qgis-projestions]]></repository>
        <tags><![CDATA[crs,projection]]></tags>
        <downloads>28595</downloads>
        <average_vote>4.7497031435535275</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SOI Toposheets Number Calculator" version="2.0" plugin_id="1064">
        <description><![CDATA[Calcualtes SOI Toposheets numbers from layers.]]></description>
        <about><![CDATA[This plugin calculates the map sheet numbers for the Survey of India Topographical maps from the features of the selected layer. Map sheet number can be find for both old series maps (India and adjoining countries Series Maps) and new Open Series Maps (OSMs).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://shaileshchaure.com/qgis-plugin3.php]]></homepage>
        <file_name>TopoNum.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_liNn1EJ.png</icon>
        <author_name><![CDATA[Shailesh Chaure]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TopoNum/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[shailesh]]></uploaded_by>
        <create_date>2016-07-14T15:16:34.701020+00:00</create_date>
        <update_date>2020-05-20T18:18:57.915600+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/shaileshchaure/TopoSheetNum3/issues]]></tracker>
        <repository><![CDATA[https://github.com/shaileshchaure/TopoSheetNum3]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3935</downloads>
        <average_vote>4.599693353776415</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Isogeo" version="2.0.0-beta4" plugin_id="1066">
        <description><![CDATA[Isogeo search engine within QGIS]]></description>
        <about><![CDATA[Ce plugin facilite l&#x27;accès aux données géographiques. Il s&#x27;agit d&#x27;un moteur de recherche de métadonnées géographiques reposant sur l&#x27;API d&#x27;&lt;a href=&quot;https://www.isogeo.com/&quot;&gt;Isogeo&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://help.isogeo.com/doc-plugin-qgis/]]></homepage>
        <file_name>isogeo_search_engine.2.0.0-beta4.zip</file_name>
        <icon>/media/packages/2025/icon_umEmxjN.png</icon>
        <author_name><![CDATA[Isogeo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/isogeo_search_engine/version/2.0.0-beta4/download/</download_url>
        <uploaded_by><![CDATA[isogeo]]></uploaded_by>
        <create_date>2016-07-18T16:54:52.528338+00:00</create_date>
        <update_date>2019-10-08T16:39:06.415431+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/isogeo/isogeo-plugin-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/isogeo/isogeo-plugin-qgis]]></repository>
        <tags><![CDATA[search,inspire,webservices,metadata,catalog,open data,explore,rest api]]></tags>
        <downloads>39736</downloads>
        <average_vote>4.627799353503407</average_vote>
        <rating_votes>43</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Image Footprint" version="1.1" plugin_id="1074">
        <description><![CDATA[Plugin call Footprint algorithm from IBAMA processing(install by plugin repository).]]></description>
        <about><![CDATA[Footprint algorithm create a catalog layer from directories of images.
This tools are developed on the demand of IBAMA(Brazilian Institute of Environment and Renewable Natural Resources).
http://www.ibama.gov.br
* Footprint Icon made by Freepik (http://www.freepik.com) from www.flaticon.com is licensed by Creative Commons BY 3.0]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/imagefootprint_plugin/wiki]]></homepage>
        <file_name>imagefootprint_plugin.1.1.zip</file_name>
        <icon>/media/packages/2020/footprint.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/imagefootprint_plugin/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2016-08-04T00:13:09.345476+00:00</create_date>
        <update_date>2020-02-18T19:16:44.379357+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/imagefootprint_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/imagefootprint_plugin]]></repository>
        <tags><![CDATA[raster,catalog,ibama]]></tags>
        <downloads>13441</downloads>
        <average_vote>4.105155127496645</average_vote>
        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Resource Sharing" version="1.1.0-beta1" plugin_id="1079">
        <description><![CDATA[Download shared collections]]></description>
        <about><![CDATA[Search for published collections and install them for use with QGIS. Symbology (SVG, images, styles), Processing scripts, Processing models, R scripts and checklists are supported. There are several options for repositories: Github, Bitbucket, local file system and HTTP(S).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis-contribution.github.io/QGIS-ResourceSharing/]]></homepage>
        <file_name>qgis_resource_sharing.1.1.0-beta1.zip</file_name>
        <icon>/media/packages/2025/icon_oqzNoJk.png</icon>
        <author_name><![CDATA[Akbar Gumbira, Håvard Tveite, Julien Moura]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_resource_sharing/version/1.1.0-beta1/download/</download_url>
        <uploaded_by><![CDATA[geojulien]]></uploaded_by>
        <create_date>2016-08-15T23:01:54.640764+00:00</create_date>
        <update_date>2024-01-19T17:19:23.197019+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/QGIS-Contribution/QGIS-ResourceSharing/issues/]]></tracker>
        <repository><![CDATA[https://github.com/QGIS-Contribution/QGIS-ResourceSharing/]]></repository>
        <tags><![CDATA[svg,python,map,style,r,processing,model,script,design,symbol,repository,collection,sharing,checklist,algorithm,resources]]></tags>
        <downloads>353922</downloads>
        <average_vote>4.367693418415164</average_vote>
        <rating_votes>223</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QField Sync" version="v4.0.0-beta20" plugin_id="1083">
        <description><![CDATA[Sync your projects to QField]]></description>
        <about><![CDATA[This plugin facilitates packaging QGIS projects for QField.&lt;br&gt;
It analyses the current project and suggests (and performs) actions needed to make the project working on QField.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.qfield.org/get-started/]]></homepage>
        <file_name>qfieldsync.v4.0.0-beta20.zip</file_name>
        <icon>/media/packages/2026/icon_MjuLG2U.png</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qfieldsync/version/v4.0.0-beta20/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2016-08-18T09:42:47.947561+00:00</create_date>
        <update_date>2022-03-08T19:46:02.519718+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/QFieldSync/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/QFieldSync]]></repository>
        <tags><![CDATA[cloud,mobile,field,gps,synchronization,windows,qfield,android,offline,qfieldsync,gnss,fieldwork,qfieldcloud,sensors,tablet,linux,simple,ios,collaborative,smartphone]]></tags>
        <downloads>1229312</downloads>
        <average_vote>4.34598544868432</average_vote>
        <rating_votes>711</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="JoinSplit" version="0.4" plugin_id="1098">
        <description><![CDATA[JoinSplit relates a spatial layer with a matrix sharing a common field, and export the selected fields from the matrix as spatial layers.]]></description>
        <about><![CDATA[The JoinSplit works by performing a table join between a spatial layer and a matrix (opened as a table in QGIS), and it exports each field from the matrix, or only those selected by the user, as an individual shapefile. This plugin is useful when a matrix of presence or counts of multiple entities (e.g. species observations) are available with an grid identifier (e.g. UTM square, custom grid ID, intersection of lat/lon with a grid, etc). The JoinSplit opens all layers in the Table of Contents and the user may choose a style file (exported from any other shapefile) to show the new layers. The plugin includes an example data set (more details in the homepage).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ptarroso/JoinSplit]]></homepage>
        <file_name>JoinSplit-master.0.4.zip</file_name>
        <icon>/media/packages/2019/icon_sFWTsbm.png</icon>
        <author_name><![CDATA[Pedro Tarroso]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/JoinSplit-master/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[ptg]]></uploaded_by>
        <create_date>2016-09-06T10:51:24.114336+00:00</create_date>
        <update_date>2019-11-19T12:28:44.318279+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ptarroso/JoinSplit/issues]]></tracker>
        <repository><![CDATA[https://github.com/ptarroso/JoinSplit]]></repository>
        <tags><![CDATA[vector,database,export,attribute table,field,join,csv,layers]]></tags>
        <downloads>13875</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Table to Style" version="2.0" plugin_id="1099">
        <description><![CDATA[Reads an attribute table (usually in dbf or text format) with pixel value information and attributes and creates a new style for raster display.]]></description>
        <about><![CDATA[The Table2Style links an attribute table with pixel value colour information with a pixel value of a raster, displaying the raster as intended. The colour information is the red, green and blue values (from 0 to 1 or 0 to 255) and, optionally, the opacity. The plugin also creates a random color scheme for each pixel value, if no file is available. A simple example data set is provided.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ptarroso/table2style]]></homepage>
        <file_name>table2style.2.0.zip</file_name>
        <icon>/media/packages/2020/icon_lCW43Bh.png</icon>
        <author_name><![CDATA[Pedro Tarroso]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/table2style/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[ptg]]></uploaded_by>
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Creates QGIS Projects from Interlis files]]></about>
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        <author_name><![CDATA[Prathamesh Barane, G S Dwarakish]]></author_name>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Select by relationship" version="0.3.2" plugin_id="1222">
        <description><![CDATA[The plugin allows to select records through tables based on relationships one-to-one or one-to-many specified inside a QGIS project.]]></description>
        <about><![CDATA[The plugin allows to select records through tables based on relationships one-to-one or one-to-many specified inside a QGIS project.&lt;br&gt;The plugin button will appear inside QGIS database menu. Anything in 3 steps:&lt;br&gt;1.Charge in a QGIS project your layers;&lt;br&gt;2.Set up the relationships between your layers inside the QGIS project properties;&lt;br&gt;3.Click on selectFromRelations button (or run its from QGIS toolbar Database-&gt;Select From Relation -&gt; Allow selections by relationship.&lt;br&gt;&lt;br&gt;Now you can select records between many related tables.&lt;br&gt;You can see an example in this videotutorial by Salvatore Fiandaca: &lt;a href=&quot;https://www.youtube.com/watch?v=4lXRnsMO-qI&quot;&gt;link&lt;/a&gt;&lt;br&gt;The plugin started by an original thread posted by Salvatore Fiandaca and developed by Andrea Borruso and Salvatore Larosa: &lt;a href=&quot;http://osgeo-org.1560.x6.nabble.com/QGIS-select-in-join-tabella-in-relazione-td5317093.html&quot;&gt;Original thread&lt;/a&gt;&lt;br&gt;A first post by Andrea Borruso: &lt;a href=&quot;https://medium.com/tantotanto/qgis-selezionare-geometrie-da-una-tabella-di-attributi-correlata-bea37747a7e2&quot;&gt;link&lt;/a&gt;&lt;br&gt;The original python macro by Salvatore Larosa: &lt;a href=&quot;https://gist.github.com/slarosa/653e6d759cf0d82c2a24dcc499b094e0&quot;&gt;link&lt;/a&gt;&lt;br&gt;A videotutorial by Salvatore Fiandaca where it&#x27;s showed the use of python macro by Salvatore Larosa: &lt;a href=&quot;https://www.youtube.com/watch?v=PRDftcPWNg8&quot;&gt;link&lt;/a&gt;&lt;br&gt;An other videotutorial by Salvatore Fiandaca for testing the macro python code embedded inside selectFromRelations plugin: &lt;a href=&quot;https://www.youtube.com/watch?v=4lXRnsMO-qI&quot;&gt;link&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pyarchinit/selectbyrelationship_repo/wiki]]></homepage>
        <file_name>SelectByRelationship.0.3.2.zip</file_name>
        <icon>/media/packages/2022/icon_S0jsmEo.svg</icon>
        <author_name><![CDATA[Luca Mandolesi, Salvatore Larosa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SelectByRelationship/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[pyarchinit]]></uploaded_by>
        <create_date>2017-04-20T15:48:19.210481+00:00</create_date>
        <update_date>2019-10-30T10:50:25.319471+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pyarchinit/selectbyrelationship_repo/issues]]></tracker>
        <repository><![CDATA[https://github.com/pyarchinit/selectbyrelationship_repo]]></repository>
        <tags><![CDATA[database,select,relationship]]></tags>
        <downloads>17169</downloads>
        <average_vote>4.292578229799274</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vector Tiles Reader" version="3.3.0" plugin_id="1230">
        <description><![CDATA[Reader (short VT reader) which reads Vector Tiles from various predefined and configurable sources]]></description>
        <about><![CDATA[Plugin which reads vector tiles according to Mapbox&#x27; Vector Tiles specification as QGIS layers in a group. Styled vector tiles are typically used as high quality base maps. Sources can be an internet server, an MBTiles file or a directory of files. If an Mapbox GL JSON style is configured, the style is (partially) converted to QGIS styles.
The plugin has connections already configured for the following providers:
* MapTiler.com
* Nextzen.org
* OpenInfraMap.org
This Python plugin uses prebuilt C++ binaries for performance reasons.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geometalab/Vector-Tiles-Reader-QGIS-Plugin/]]></homepage>
        <file_name>vector_tiles_reader.3.3.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Martin Boos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vector_tiles_reader/version/3.3.0/download/</download_url>
        <uploaded_by><![CDATA[geometalab]]></uploaded_by>
        <create_date>2017-05-01T12:39:28.035965+00:00</create_date>
        <update_date>2023-06-23T09:32:22.529978+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/geometalab/Vector-Tiles-Reader-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/geometalab/Vector-Tiles-Reader-QGIS-Plugin]]></repository>
        <tags><![CDATA[vector,tiles,mbtiles,basemap,vector tiles,mapbox]]></tags>
        <downloads>114373</downloads>
        <average_vote>4.041040533691319</average_vote>
        <rating_votes>73</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GooGIS" version="1.0.1" plugin_id="1231">
        <description><![CDATA[a Google Drive data provider for QGIS]]></description>
        <about><![CDATA[GooGIS is an experimental plugin derivated from pseudo_csv_provider by @g-sherman. It keeps syncronization between a local memory layer and a remote google drive sheet and provides a simple peer to peer cloud environment for sharing and editing geospatial contents with other users. It’s only required a valid Google account.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enricofer/gdrive_provider]]></homepage>
        <file_name>gdrive_provider.1.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_UjMv6r1.png</icon>
        <author_name><![CDATA[Enrico Ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gdrive_provider/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[enricofer]]></uploaded_by>
        <create_date>2017-05-02T13:00:28.763805+00:00</create_date>
        <update_date>2020-05-21T09:39:39.884389+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enricofer/gdrive_provider/issues]]></tracker>
        <repository><![CDATA[https://github.com/enricofer/gdrive_provider]]></repository>
        <tags><![CDATA[vector,cloud,google,google spreadsheet,goggle drive,custom provider]]></tags>
        <downloads>10867</downloads>
        <average_vote>3.5799642003579963</average_vote>
        <rating_votes>100</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OSM Tools" version="3.0.6b" plugin_id="1232">
        <description><![CDATA[DEPRECATED. Please use ORS Tools instead.]]></description>
        <about><![CDATA[OSM Tools is renamed to ORS Tools. This version will simply install ORS Tools instead.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://openrouteservice.org]]></homepage>
        <file_name>OSMtools.3.0.6b.zip</file_name>
        <icon>/media/packages/2019/icon_QrtZA1x.png</icon>
        <author_name><![CDATA[Nils Nolde]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OSMtools/version/3.0.6b/download/</download_url>
        <uploaded_by><![CDATA[nilsnolde]]></uploaded_by>
        <create_date>2017-05-06T16:37:32.286276+00:00</create_date>
        <update_date>2018-02-21T17:05:49.461678+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/nilsnolde/ORStools/issues]]></tracker>
        <repository><![CDATA[https://github.com/nilsnolde/ORStools.git]]></repository>
        <tags><![CDATA[routing,openstreetmap,osm,accessibility,route,openrouteservice,service area,isochrones,matrix,ors]]></tags>
        <downloads>141631</downloads>
        <average_vote>4.35602760585147</average_vote>
        <rating_votes>132</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BoundaryDelineation" version="6.0" plugin_id="1237">
        <description><![CDATA[This plugin simplifies manual digitization from remote sensing imagery.]]></description>
        <about><![CDATA[The plugin is designed to support the interactive delineation of visible (cadastral) boundaries in remote sensing imagery. This work is supported by its4land, which is part of the Horizon 2020 program of the European Union (project number 687828).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://its4land.com/]]></homepage>
        <file_name>BoundaryDelineation.6.0.zip</file_name>
        <icon>/media/packages/2019/icon_AP34qIm.png</icon>
        <author_name><![CDATA[Sophie Crommelink, Ivan Ivanov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BoundaryDelineation/version/6.0/download/</download_url>
        <uploaded_by><![CDATA[scrommelinck]]></uploaded_by>
        <create_date>2017-05-12T10:12:35.215170+00:00</create_date>
        <update_date>2019-07-09T14:14:34.912795+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/its4land/qgis-boundary-delineation/issues]]></tracker>
        <repository><![CDATA[https://github.com/its4land/qgis-boundary-delineation]]></repository>
        <tags><![CDATA[vector,python,analysis,digitizing,remote sensing,processing,cadastre]]></tags>
        <downloads>31552</downloads>
        <average_vote>3.8146735306099773</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Data Plotly" version="0.4" plugin_id="1247">
        <description><![CDATA[D3 Plots for QGIS]]></description>
        <about><![CDATA[Draw D3 plots in QGIS]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ghtmtt/DataPlotly/blob/master/README.md]]></homepage>
        <file_name>DataPlotly.0.4.zip</file_name>
        <icon>/media/packages/2026/icon_EXcTm7E.png</icon>
        <author_name><![CDATA[Matteo Ghetta (Faunalia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DataPlotly/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[ghtmtt]]></uploaded_by>
        <create_date>2017-05-27T14:31:59.014818+00:00</create_date>
        <update_date>2017-07-24T13:41:18.313158+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ghtmtt/DataPlotly/issues]]></tracker>
        <repository><![CDATA[https://github.com/ghtmtt/DataPlotly]]></repository>
        <tags><![CDATA[vector,python,d3,plots,graphs,datavis,dataplotly,dataviz]]></tags>
        <downloads>395859</downloads>
        <average_vote>4.1946167965879315</average_vote>
        <rating_votes>298</rating_votes>
        <external_dependencies></external_dependencies>
        <server>True</server>
    </pyqgis_plugin><pyqgis_plugin name="Polygons_Pile" version="3.0.1" plugin_id="1278">
        <description><![CDATA[a tool for better polygons&#x27; layer viewing in QGIS]]></description>
        <about><![CDATA[this plugin pile up the polygons of a layer and copy them in a new layer in a pyramid-like way, that is to say with the smallests on top of the largest&#x27;s ones, in order to let the users see as many objects as possible when opening the layer without using the style properties.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tomflyjc/Polygons_Pile]]></homepage>
        <file_name>Polygons_Pile.3.0.1.zip</file_name>
        <icon>/media/packages/2017/PolyPile.png</icon>
        <author_name><![CDATA[Jean-Christophe BAUDIN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Polygons_Pile/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[tomfly]]></uploaded_by>
        <create_date>2017-07-18T14:24:30.914518+00:00</create_date>
        <update_date>2019-02-07T13:57:34.602138+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tomflyjc/Polygons_Pile/issues]]></tracker>
        <repository><![CDATA[https://github.com/tomflyjc/Polygons_Pile]]></repository>
        <tags><![CDATA[tools,polygons orderer by size- python  qgis]]></tags>
        <downloads>4379</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoTrace" version="1.34" plugin_id="1292">
        <description><![CDATA[Collection of tools extracting trace data from commonly used geoscience rasters such as imagery, topography and geophysics.]]></description>
        <about><![CDATA[GeoTrace is a a QGIS plugin containing some helpful tools for extracting and analysing the orientations of geological structures. It can be used to rapidly digitize structural traces in raster data, estimate their 3D orientations using an associated DEM, and then visualise the results on stereonets and rose diagrams. There is a complementary plugin, Compass, for CloudCompare that provides similar functionalities for 3D point clouds. The trace extraction method (Trace tab) uses a least-cost path algorithm to &quot;follow&quot; linear features in the raster. This relies on a single-channel cost raster in which the structures of interest are represented by low values, and the background by high values. A variety of functions for quickly calculating such a cost function have been included in the Cost Calculator tab. See the about tab for more information and a quick guide on how to use the plugin]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lachlangrose/GeoTrace]]></homepage>
        <file_name>GeoTrace.1.34.zip</file_name>
        <icon>/media/packages/2023/icon_Wp3cC4K.png</icon>
        <author_name><![CDATA[Lachlan Grose]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoTrace/version/1.34/download/</download_url>
        <uploaded_by><![CDATA[lachlangrose]]></uploaded_by>
        <create_date>2017-08-03T00:33:03.217344+00:00</create_date>
        <update_date>2023-01-20T02:37:41.199601+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lachlangrose/GeoTrace/issues]]></tracker>
        <repository><![CDATA[https://github.com/lachlangrose/GeoTrace]]></repository>
        <tags><![CDATA[geoscience stereonet]]></tags>
        <downloads>19610</downloads>
        <average_vote>3.4458993797381114</average_vote>
        <rating_votes>74</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PolyStrip" version="0.3" plugin_id="1293">
        <description><![CDATA[Polygons along lines]]></description>
        <about><![CDATA[Creates Polygons along line features which can be used as templates for atlas generation.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mach0/polystrip]]></homepage>
        <file_name>polystrip.0.3.zip</file_name>
        <icon>/media/packages/2025/polystrip.svg</icon>
        <author_name><![CDATA[Werner Macho]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/polystrip/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[macho]]></uploaded_by>
        <create_date>2017-08-03T07:18:22.858511+00:00</create_date>
        <update_date>2019-02-04T18:24:53.668887+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mach0/polystrip/issues]]></tracker>
        <repository><![CDATA[https://github.com/mach0/polystrip]]></repository>
        <tags><![CDATA[polygon,strip]]></tags>
        <downloads>14777</downloads>
        <average_vote>4.730587285104419</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sleuth Inputs" version="3.1" plugin_id="1311">
        <description><![CDATA[Prepare SLEUTH urban growth model input layers]]></description>
        <about><![CDATA[To run the SLEUTH urban growth model in separate subregions, separate folders with layers in apropiate format and with apropiate naming convention are needed, and that is exactly what this plugin does.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sostenibilidad-unam/slueth_inputs.git]]></homepage>
        <file_name>SleuthInputs.3.1.zip</file_name>
        <icon>/media/packages/2021/icon_vjPUgCO.png</icon>
        <author_name><![CDATA[LANCIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SleuthInputs/version/3.1/download/</download_url>
        <uploaded_by><![CDATA[serranoycandela]]></uploaded_by>
        <create_date>2017-08-24T19:57:45.515975+00:00</create_date>
        <update_date>2021-01-15T23:30:40.139179+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sostenibilidad-unam/slueth_inputs.git]]></tracker>
        <repository><![CDATA[https://github.com/sostenibilidad-unam/slueth_inputs.git]]></repository>
        <tags><![CDATA[sleuth,inputs]]></tags>
        <downloads>3560</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CZML Generator" version="0.9" plugin_id="1314">
        <description><![CDATA[Creates CZML files for Cesium.js]]></description>
        <about><![CDATA[Creates CZML files for Cesium.js
for thematic visualizations]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://samanbey.github.io/czml_generator/]]></homepage>
        <file_name>czml_generator.0.9.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Mátyás Gede]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/czml_generator/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[samanbey]]></uploaded_by>
        <create_date>2017-08-30T12:52:52.476208+00:00</create_date>
        <update_date>2018-06-14T07:39:43.783995+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/samanbey/czml_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/samanbey/czml_generator]]></repository>
        <tags><![CDATA[3d,thematic map,czml,cesium]]></tags>
        <downloads>7209</downloads>
        <average_vote>4.260684318073127</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ClosestPoint" version="4.0.1" plugin_id="1321">
        <description><![CDATA[Points Projector for QGIS count as for the SQL function ClosestPoint. Also cut lines by nearest points.]]></description>
        <about><![CDATA[this plugin plots the projected points from a points layer to the closest vertex or nodes of the closest line from a lines layer.
It now also can produce a cut lines layer by projected points.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tomflyjc/CLOSEST-POINT-PLUGIN]]></homepage>
        <file_name>ClosestPoint.4.0.1.zip</file_name>
        <icon>/media/packages/2017/ClosestPoint.PNG</icon>
        <author_name><![CDATA[Jean-Christophe BAUDIN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ClosestPoint/version/4.0.1/download/</download_url>
        <uploaded_by><![CDATA[tomfly]]></uploaded_by>
        <create_date>2017-09-05T08:51:48.964430+00:00</create_date>
        <update_date>2020-02-25T16:12:28.261367+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tomflyjc/CLOSEST-POINT-PLUGIN/issues]]></tracker>
        <repository><![CDATA[https://github.com/tomflyjc/CLOSEST-POINT-PLUGIN]]></repository>
        <tags><![CDATA[points,tools,lines,projection,cut lines by points- python  qgis,minimum distance]]></tags>
        <downloads>8947</downloads>
        <average_vote>3.5650623885918002</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="trends.earth" version="2.1.18" plugin_id="1330">
        <description><![CDATA[Analyze land change in support of sustainable land management, achieving the Land Degradation Neutrality (LDN) Sustainable Development Goal (SDG), and to support reporting to the Global Environment Facility (GEF) and United Nations Convention to Combat Desertification (UNCCD)]]></description>
        <about><![CDATA[Trends.Earth is a tool for analyzing land change. Trends.Earth supports monitoring changes in productivity, land cover, and soil organic carbon. The tool can support monitoring land degradation for reporting to the Global Environment Facility (GEF) and United Nations Convention to Combat Desertification (UNCCD), as well as tracking progress towards achivement of Sustainable Development Goal (SDG) target 15.3, Land Degradation Neutrality (LDN).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://trends.earth]]></homepage>
        <file_name>LDMP.2.1.18.zip</file_name>
        <icon>/media/packages/2026/trends_earth_logo_square_32x32_W36JRb4.png</icon>
        <author_name><![CDATA[Conservation International]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LDMP/version/2.1.18/download/</download_url>
        <uploaded_by><![CDATA[timlinux]]></uploaded_by>
        <create_date>2017-09-15T19:55:53.308697+00:00</create_date>
        <update_date>2025-07-22T17:05:48.858564+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ConservationInternational/trends.earth/issues]]></tracker>
        <repository><![CDATA[https://github.com/ConservationInternational/trends.earth]]></repository>
        <tags><![CDATA[land cover,productivity,soil carbon,reporting,ldn,sdg,unccd,land degradation,land degradation neutrality,15.3,sustainable development goals,ldmp]]></tags>
        <downloads>89171</downloads>
        <average_vote>4.579493414847558</average_vote>
        <rating_votes>88</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ScriptRunner 3" version="3.0.3" plugin_id="1337">
        <description><![CDATA[Run scripts to automate QGIS tasks]]></description>
        <about><![CDATA[Load and run scripts. NOTE: For Windows you need the pywin32 module. ScriptRunner attempts to install it for you if it isn&#x27;t rpresent on your system (Windows only).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://g-sherman.github.io/Script-Runner]]></homepage>
        <file_name>scriptrunner3.3.0.3.zip</file_name>
        <icon>/media/packages/2018/icon_oJvYl5Q.png</icon>
        <author_name><![CDATA[GeoApt LLC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/scriptrunner3/version/3.0.3/download/</download_url>
        <uploaded_by><![CDATA[gsherman]]></uploaded_by>
        <create_date>2017-09-28T01:40:43.906127+00:00</create_date>
        <update_date>2017-11-28T23:00:05.730247+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/g-sherman/Script-Runner/issues]]></tracker>
        <repository><![CDATA[https://github.com/g-sherman/Script-Runner]]></repository>
        <tags><![CDATA[python,scripts,pyqgis]]></tags>
        <downloads>20406</downloads>
        <average_vote>4.666148205754917</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mascaret" version="7.0.1" plugin_id="1350">
        <description><![CDATA[Pre and Post-processing for Mascaret (http://www.opentelemac.org/).]]></description>
        <about><![CDATA[Plugin dedicated to the building and exploitation of Mascaret models.
Requires PostgreSQL, PostGIS and uses the QT5 library for the graphic interface.
Developed by Mehdi-Pierre DAOU,  Aurélien Perrin, Guillaume Isserty, Christophe COULET (Artelia)
With contribution of Philippe BAGOT (Cerema) for storage area
Based on an initial version developped by Matthieu NICOLAS (SPC Maine Loire aval)
Some parts are based on the RiverGIS plugin developped by Radek Pasiok &amp; Lukasz Debek (Many thanks for the work they&#x27;ve done on RiverGis)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Artelia/Mascaret/wiki]]></homepage>
        <file_name>Mascaret.7.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_base_bVQhw0C.png</icon>
        <author_name><![CDATA[Artelia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Mascaret/version/7.0.1/download/</download_url>
        <uploaded_by><![CDATA[daoum]]></uploaded_by>
        <create_date>2017-10-12T15:37:11.081586+00:00</create_date>
        <update_date>2026-04-17T11:43:42.935822+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Artelia/Mascaret/issues]]></tracker>
        <repository><![CDATA[https://github.com/Artelia/Mascaret]]></repository>
        <tags><![CDATA[python,opentelemac]]></tags>
        <downloads>37872</downloads>
        <average_vote>4.461195292669795</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QRealTime" version="4.2.2" plugin_id="1355">
        <description><![CDATA[This plugin connects you to Aggregate Servers like ODK Central, KoboToolbox and ODK Aggregate. Now it is easier to convert layer into form, import filled data into layer and auto sync the layer.]]></description>
        <about><![CDATA[This software is designed and developed in Indian Institute of Remote Sensing, ISRO for mobile data collection. Form designing to data compilation every step is automated in a way that everything can be done inside GIS environment.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://shivareddyiirs.github.io/QRealTime/]]></homepage>
        <file_name>QRealTime.4.2.2.zip</file_name>
        <icon>/media/packages/2023/icon_77VyAXa.png</icon>
        <author_name><![CDATA[Shiva Reddy Koti, Prabhakar Alok Verma]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QRealTime/version/4.2.2/download/</download_url>
        <uploaded_by><![CDATA[shivareddyiirs]]></uploaded_by>
        <create_date>2017-10-25T08:06:15.144536+00:00</create_date>
        <update_date>2022-07-14T04:51:06.732463+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/shivareddyiirs/QRealTime/]]></tracker>
        <repository><![CDATA[https://github.com/shivareddyiirs/QRealTime/]]></repository>
        <tags><![CDATA[forms,data collection,odk,mobile gis,kobo,kobotoolbox,xforms]]></tags>
        <downloads>35786</downloads>
        <average_vote>4.70443853548783</average_vote>
        <rating_votes>44</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ZoomToBelgium" version="0.2.1" plugin_id="1356">
        <description><![CDATA[A button to zoom to any of the Belgian administrative boundaries (country, region, community, province, municipality or district). Een knop om naar één van de Belgische administratieve grenzen te zoomen (land, gewest, gemeenschap, provincie, gemeente of district). Un bouton pour zoomer sur une des limites administratives belges (pays, region, communauté, province, commune ou district).]]></description>
        <about><![CDATA[This plugin adds a button to your toolbar in QGIS to zoom to a selected Belgian administrative boundary (country, region, community, province, municipality or district).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://codeberg.org/gis-projects/ZoomToBelgium]]></homepage>
        <file_name>ZoomToBelgium.0.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_nlfJMaD.png</icon>
        <author_name><![CDATA[Michel Stuyts]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ZoomToBelgium/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[mstuyts]]></uploaded_by>
        <create_date>2017-10-27T13:12:44.193470+00:00</create_date>
        <update_date>2017-11-20T12:44:51.246175+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://codeberg.org/gis-projects/ZoomToBelgium/issues]]></tracker>
        <repository><![CDATA[https://codeberg.org/gis-projects/ZoomToBelgium]]></repository>
        <tags><![CDATA[zoom,belgie,belgium,community,region,land,municipality,belgique,belgian,district,province,provincie,gemeente,commune,gemeenschap,communauté,région,country,pays,gewest]]></tags>
        <downloads>19560</downloads>
        <average_vote>4.332972252312308</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Least-Cost-Paths Network" version="0.1.5" plugin_id="1357">
        <description><![CDATA[Compute the network of Least-Cost Paths between multiple origins and destinations based on a cost surface map]]></description>
        <about><![CDATA[LCPNetwork applies Dijkstra&#x27;s algorithm to get optimal paths between a the features of 2 point vector layers. You will also need to specify a raster map of costs such as slope or a prominence index. The plugin will generate an accumulated cost map for each of the points and a line vector layer with all the optimal paths which can be used for further analysis. The current version will freeze the UI until the algorithm finishes. Computing time can be very large for high-resolution cost surface maps.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/xrubio/LCPNetwork]]></homepage>
        <file_name>LCPNetwork.0.1.5.zip</file_name>
        <icon>/media/packages/2019/icon_yJsIzTl.png</icon>
        <author_name><![CDATA[Xavier Rubio-Campillo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LCPNetwork/version/0.1.5/download/</download_url>
        <uploaded_by><![CDATA[xrubio]]></uploaded_by>
        <create_date>2017-10-31T17:54:04.111796+00:00</create_date>
        <update_date>2019-08-28T10:07:38.026902+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/xrubio/LCPNetwork/issues]]></tracker>
        <repository><![CDATA[https://github.com/xrubio/lcpNetwork]]></repository>
        <tags><![CDATA[ecology,analysis,routing,archaeology,least-cost paths,mobility]]></tags>
        <downloads>9496</downloads>
        <average_vote>4.333212966306491</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GPX Segment Importer" version="2.6" plugin_id="1376">
        <description><![CDATA[This plugin imports an GPX file and creates short line segments between the track points]]></description>
        <about><![CDATA[This plugin imports an GPX file and creates short line segments between the track points. Features include:
* Available as QGIS dialog in toolbar and also as QGIS algorithm for usage in processing
* [dialog, algorithm] Read all attributes available from each track point at the segment start and/or end. This includes the timestamp and the elevation as well as any other attributes added to a track point.
* [dialog] Select one or multiple GPX files with the same data structure at once.
* [dialog] To gain full control over the data, you can edit the attribute table before creating the segment layer. You can exclude attributes, modify the attribute label and change the data type (integer, double, boolean or string) if the automatic type detection failed, e.g. at numeric data that contains “Null” or “None” values. Also, the plugin detects empty attributes and excludes it by default.
* [dialog, algorithm] Optionally calculate motion attributes (track points indices, distance, speed, duration and elevation_diff) between track points.
* [algorithm] Second algorithm &#x27;Track segment creator&#x27; to apply line segment creator to any point vector dataset that has a timestamp attribute.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SGroe/gpx-segment-importer]]></homepage>
        <file_name>GpxSegmentImporter.2.6.zip</file_name>
        <icon>/media/packages/2024/icon_xJ9or0v.svg</icon>
        <author_name><![CDATA[Simon Gröchenig]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GpxSegmentImporter/version/2.6/download/</download_url>
        <uploaded_by><![CDATA[sgroe]]></uploaded_by>
        <create_date>2017-12-18T15:22:01.658003+00:00</create_date>
        <update_date>2023-11-19T20:02:21.042857+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SGroe/gpx-segment-importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/SGroe/gpx-segment-importer]]></repository>
        <tags><![CDATA[gps,gpx,importer,segment]]></tags>
        <downloads>106258</downloads>
        <average_vote>4.0643850198380695</average_vote>
        <rating_votes>31</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Asistente LADM-COL" version="4.0.1-beta" plugin_id="1391">
        <description><![CDATA[Assistant to capture and manage data for Colombian multipurpose cadastre]]></description>
        <about><![CDATA[Plugin de QGIS que ayuda a capturar y mantener datos conformes con LADM-COL y a generar archivos de intercambio de INTERLIS (.XTF).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SwissTierrasColombia/Asistente-LADM-COL]]></homepage>
        <file_name>asistente_ladm_col.4.0.1-beta.zip</file_name>
        <icon>/media/packages/2023/icon_KqDKtaf.png</icon>
        <author_name><![CDATA[SwissTierras Colombia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/asistente_ladm_col/version/4.0.1-beta/download/</download_url>
        <uploaded_by><![CDATA[lacardonap]]></uploaded_by>
        <create_date>2018-01-17T16:04:01.556252+00:00</create_date>
        <update_date>2022-08-05T23:55:03.130326+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SwissTierrasColombia/Asistente-LADM-COL/issues]]></tracker>
        <repository><![CDATA[https://github.com/SwissTierrasColombia/Asistente-LADM-COL]]></repository>
        <tags><![CDATA[cadastre,colombia,interlis,catastro,ladm,registro,catastro-registro,iso19152,ladm_col]]></tags>
        <downloads>60285</downloads>
        <average_vote>4.53555230170351</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Calculate Geometry" version="0.6.1" plugin_id="1402">
        <description><![CDATA[Calculates area, length, in arbitrary units, without typing expressions]]></description>
        <about><![CDATA[This plugin calculates the area of the polygon and the length of the line, in arbitrary units. Compared to using field calculator, you don&#x27;t need to type calculation expressions and unit conversion factor, so you can get results with fewer steps. It runs from the context menu of the vector layer in the Layers panel.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/CalculateGeometry]]></homepage>
        <file_name>CalculateGeometry.0.6.1.zip</file_name>
        <icon>/media/packages/2026/icon_YkccaxV.svg</icon>
        <author_name><![CDATA[Tarot Osuji]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CalculateGeometry/version/0.6.1/download/</download_url>
        <uploaded_by><![CDATA[tarot]]></uploaded_by>
        <create_date>2018-02-06T14:17:56.329438+00:00</create_date>
        <update_date>2021-08-28T23:58:40.516077+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tarot231/qgis-calculate-geometry-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/tarot231/qgis-calculate-geometry-plugin]]></repository>
        <tags><![CDATA[calculator,geometry]]></tags>
        <downloads>276826</downloads>
        <average_vote>4.14502234724295</average_vote>
        <rating_votes>262</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WNT Open Source 3" version="0.1" plugin_id="1403">
        <description><![CDATA[A toolbox for water utility providers for QGIS 3.]]></description>
        <about><![CDATA[Water Network Toolbox (WNT) is an application for the documentation and management of water distribution systems. It offers fundamental functions for an orderly and effective operation of water networks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.gc-i.de/en/gis-entwicklungen/]]></homepage>
        <file_name>wntOS-3.0.1.zip</file_name>
        <icon>/media/packages/2018/application.png</icon>
        <author_name><![CDATA[GCI]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wntOS-3/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[gci]]></uploaded_by>
        <create_date>2018-02-06T16:03:09.800118+00:00</create_date>
        <update_date>2018-02-06T16:03:11.125930+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gc-i/wntOS-3/issues]]></tracker>
        <repository><![CDATA[https://github.com/gc-i/wntOS-3]]></repository>
        <tags><![CDATA[network,water,hydrology,pipes,manholes,asset,management,wnt]]></tags>
        <downloads>5160</downloads>
        <average_vote>3.99800099950025</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Easy Template Print" version="2.1" plugin_id="1408">
        <description><![CDATA[This plugin makes it easy to print using templates and text]]></description>
        <about><![CDATA[This plugin makes it easy to fill text items in print templates and place/rotate plot.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.giskonsulenten.dk/wp-content/uploads/2018/02/documentation.pdf]]></homepage>
        <file_name>EasyTemplatePrint.2.1.zip</file_name>
        <icon>/media/packages/2023/icon_Dc4gFHc.png</icon>
        <author_name><![CDATA[Jesper Jøker Eg - GISkonsulenten]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/EasyTemplatePrint/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[giskonsulenten]]></uploaded_by>
        <create_date>2018-02-12T07:09:56.423147+00:00</create_date>
        <update_date>2020-03-23T09:11:44.621666+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/giskonsulenten/EasyTemplatePrint/issues]]></tracker>
        <repository><![CDATA[https://github.com/giskonsulenten/EasyTemplatePrint-for-Qgis3]]></repository>
        <tags><![CDATA[python,print,qgis,templates]]></tags>
        <downloads>13265</downloads>
        <average_vote>4.4439506721475395</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EnviFate" version="2.0" plugin_id="1413">
        <description><![CDATA[EnviFate: Open source tool for environmental risk analysis]]></description>
        <about><![CDATA[The ENVIFATE software is currently under development by the Department of Civil, Environmental and Mechanical Engineering (DICAM) of the University of Trento, Italy, in the frame of the project &quot;Definizione di metodi standard e di strumenti applicativi informatici per il calcolo degli effetti dei fattori di perturbazione ai sensi della decisione 2011/484/Ue, da impiegarsi nell’ambito della valutazione di incidenza&quot;, funded by the Italian Veneto Region. The project aims to make available to non-specialist operators a set of tools able to perform screening analysis to assess the risks of different possible environmental pollution sources in protected areas. Authors: Francesco Geri (Software development), Marco Ciolli (supervisor and scientific responsible of the project), Paolo Zatelli and Oscar Cainelli (Technical and scientific consultants) and Gianluca Salogni (Technical and scientific referent for Regione Veneto). GPL license v3.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://bitbucket.org/fragit/envifate_2]]></homepage>
        <file_name>envifate.2.0.zip</file_name>
        <icon>/media/packages/2019/icon_gdwvNbq.png</icon>
        <author_name><![CDATA[Francesco Geri, Marco Ciolli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/envifate/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[osfraid]]></uploaded_by>
        <create_date>2018-02-19T11:16:22.653384+00:00</create_date>
        <update_date>2019-11-20T11:06:31.160166+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/fragit/envifate/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/fragit/envifate_2/issues]]></repository>
        <tags><![CDATA[vector,raster,environment,contamination modelling]]></tags>
        <downloads>5699</downloads>
        <average_vote>3.999875003906128</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Karika" version="1.1" plugin_id="1429">
        <description><![CDATA[Terrain generalization]]></description>
        <about><![CDATA[Terrain generalization by line integral convolution of the elevation values along the surface gradient, as described in the PhD thesis &quot;Automatic Swiss style rock depiction&quot; (https://doi.org/10.3929/ethz-b-000201368).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://motlimot.net]]></homepage>
        <file_name>karika.1.1.zip</file_name>
        <icon>/media/packages/2018/img_motlimot.net_EubTqqR.svg</icon>
        <author_name><![CDATA[Roman Geisthövel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/karika/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[u1001]]></uploaded_by>
        <create_date>2018-03-19T18:46:05.248924+00:00</create_date>
        <update_date>2018-05-07T20:00:08.500660+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/motlimot/karika/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/motlimot/karika]]></repository>
        <tags><![CDATA[raster,generalization,processing]]></tags>
        <downloads>9844</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Parallel Line Construction" version="0.2" plugin_id="1431">
        <description><![CDATA[This plugin constructs parallel lines based on a given base line]]></description>
        <about><![CDATA[This plugin constructs parallel lines based on a given baseline. It is comparable to an offset line in cad programs / tools, but can construct more than on line.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/stdonn/ParallelLineConstruction]]></homepage>
        <file_name>ParallelLineConstruction.0.2.zip</file_name>
        <icon>/media/packages/2018/icon_QTAWdjq.png</icon>
        <author_name><![CDATA[Stephan Donndorf]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ParallelLineConstruction/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[stdonn]]></uploaded_by>
        <create_date>2018-03-27T12:47:37.405993+00:00</create_date>
        <update_date>2018-05-23T12:31:15.404170+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/stdonn/ParallelLineConstruction/issues]]></tracker>
        <repository><![CDATA[https://github.com/stdonn/ParallelLineConstruction]]></repository>
        <tags><![CDATA[cad lines offset]]></tags>
        <downloads>9429</downloads>
        <average_vote>2.7754535621722005</average_vote>
        <rating_votes>49</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoDyn Gemeente" version="3.0" plugin_id="1444">
        <description><![CDATA[Wastewater prognosis tool for municipal sewage systems
Geografisch Dynamisch afvalwater prognosetool voor gemeente]]></description>
        <about><![CDATA[Tool for calculating wastewater prognosis based on
Municipal sewage systems (Kikker riodesk)
Residental data (BAG)
Housing development plans RIGO (https://www.plancapaciteit.nl/)
Household drinking water consumption
GeoDynWaterschap is develop by BKGIS, for the water Authority HHNK and designed by Mark Lamers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bart147/GeodynGemQgis3]]></homepage>
        <file_name>GeodynGem.3.0.zip</file_name>
        <icon>/media/packages/2019/icon_rGGOknU.png</icon>
        <author_name><![CDATA[BKGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeodynGem/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[bart147]]></uploaded_by>
        <create_date>2018-04-12T13:32:53.073413+00:00</create_date>
        <update_date>2019-11-11T09:06:02.121179+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bart147/GeodynGemQgis3/issues]]></tracker>
        <repository><![CDATA[https://github.com/bart147/GeodynGemQgis3]]></repository>
        <tags><![CDATA[python,afvalwaterprognose,kikker,geodyn]]></tags>
        <downloads>8773</downloads>
        <average_vote>3.6660556573904346</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Nominatim Locator Filter" version="0.2.1" plugin_id="1447">
        <description><![CDATA[This is a plugin which adds an (extra) Nominatim Locator Filter (Geocoder) to QGIS]]></description>
        <about><![CDATA[Nominatim is a free Geocoder service provided by the OpenStreetMap project.

A Locator Filter implements the fetching of data from internal or external sources.

NOTE that the core functionality of this plugin is now also in the core of QGIS using the &lt;tt&gt;&amp;gt;&lt;/tt&gt; prefix.
So to use the core QGIS Nominatim Locator you type &lt;tt&gt;&quot;&gt; artis&quot;&lt;/tt&gt; to search for &#x27;artis&#x27;

This plugin has some extra features.

Because it is *NOT* allowed to use the Nominatim service as a &#x27;search as you type&#x27; service,
see: &lt;a href=&quot;https://operations.osmfoundation.org/policies/nominatim/&quot;&gt;Nominatim Usage Policy&lt;/a&gt;, the locator will not fire a request unless you end your string with a space or enter.
So type &lt;tt&gt;&quot;osm artis &quot;&lt;/tt&gt; (note the ending space).

Some other tricks:

To do a local search (so only within current mapcanvas extent), use &lt;tt&gt;&amp;&lt;/tt&gt; in front of your search term.
So type &lt;tt&gt;&quot;osm &amp;artis &quot;&lt;/tt&gt; (note the ampersand and the ending space) when only Zoomed in on France OR on The Netherlands and see the difference.

Nominatim itself also has some tricks: for example you can add a country code to your search term to ONLY search in that country.
See  &lt;tt&gt;&quot;osm &amp;artis nl&quot;&lt;/tt&gt; versus  &lt;tt&gt;&quot;osm &amp;artis fr&quot;&lt;/tt&gt; (to see artis in The Netherlands or in France)

The icons used are from the &lt;a href=&quot;https://github.com/osm-search/nominatim-ui/tree/master/dist/mapicons&quot;&gt;nominatim-ui project&lt;/a&gt;

Read more about creating &#x27;Locators&#x27;: &lt;a href=&quot;http://www.qgis.nl/2018/05/16/english-coding-a-qgslocator-plugin/?lang=en&quot;&gt;http://www.qgis.nl/2018/05/16/english-coding-a-qgslocator-plugin&lt;/a&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rduivenvoorde/nominatim_locator_filter]]></homepage>
        <file_name>nominatim_locator_filter.0.2.1.zip</file_name>
        <icon>/media/packages/2023/icon_xocrBWe.svg</icon>
        <author_name><![CDATA[Richard Duivenvoorde, Zuidt]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nominatim_locator_filter/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[rduivenvoorde]]></uploaded_by>
        <create_date>2018-04-22T20:32:29.598800+00:00</create_date>
        <update_date>2018-05-02T10:16:56.029463+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rduivenvoorde/nominatim_locator_filter/issues]]></tracker>
        <repository><![CDATA[https://github.com/rduivenvoorde/nominatim_locator_filter]]></repository>
        <tags><![CDATA[filter,osm,nominatim,geocoder,locator]]></tags>
        <downloads>63094</downloads>
        <average_vote>4.593606449798444</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EO Time Series Viewer" version="2.0.20250411T184347.eotsv_2" plugin_id="1456">
        <description><![CDATA[Visualization of multi-sensor Earth observation time series data.]]></description>
        <about><![CDATA[The EO Time Series Viewer (EOTSV) is a QGIS Plugin to visualize and label Earth Observation (EO) time series data.

- Interactive visualization of Earth observation time series raster data
- Spatially synchronized maps for each observation date
- Multiple band combinations in parallel, e.g., True Color _and_ SWIR bands
- Multi-sensor support: separate render settings for separate image products
- Visualization of Spectral and Temporal Profiles
- Quick labeling of vector files]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://eo-time-series-viewer.readthedocs.io]]></homepage>
        <file_name>timeseriesviewerplugin.2.0.20250411T184347.eotsv_2.zip</file_name>
        <icon>/media/packages/2026/icon_IQp9wc6.png</icon>
        <author_name><![CDATA[Benjamin Jakimow, Sebastian van der Linden, Patrick Hostert]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/timeseriesviewerplugin/version/2.0.20250411T184347.eotsv_2/download/</download_url>
        <uploaded_by><![CDATA[jakimowb]]></uploaded_by>
        <create_date>2018-05-14T12:41:16.692658+00:00</create_date>
        <update_date>2025-04-11T16:46:33.201857+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jakimowb/eo-time-series-viewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/jakimowb/eo-time-series-viewer]]></repository>
        <tags><![CDATA[raster,landsat,time series,remote sensing,sentinel]]></tags>
        <downloads>38821</downloads>
        <average_vote>4.565018912221207</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="web2qgis" version="0.2.0" plugin_id="1457">
        <description><![CDATA[Load a webmap directly into QGIS]]></description>
        <about><![CDATA[Attempts to parse a remote webpage to import a webmap into a QGIS project]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tomchadwin/web2qgis]]></homepage>
        <file_name>web2qgis.0.2.0.zip</file_name>
        <icon>/media/packages/2018/icon_OOFoL5z.png</icon>
        <author_name><![CDATA[Tom Chadwin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/web2qgis/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[tomchadwin]]></uploaded_by>
        <create_date>2018-05-15T12:28:18.661583+00:00</create_date>
        <update_date>2018-05-16T22:13:35.104160+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tomchadwin/web2qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/tomchadwin/web2qgis]]></repository>
        <tags><![CDATA[html,python,web,webmap,js,javascript]]></tags>
        <downloads>14213</downloads>
        <average_vote>4.4997750112494375</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geomapfish Locator" version="0.0.3" plugin_id="1472">
        <description><![CDATA[A locator filter for Geomapfish services]]></description>
        <about><![CDATA[Allows to search in Geomapfish instances. Connection is also possible for private searches.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis_geomapfish_locator]]></homepage>
        <file_name>geomapfish_locator.0.0.3.zip</file_name>
        <icon>/media/packages/2024/geomapfish_9mLP5z9.png</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geomapfish_locator/version/0.0.3/download/</download_url>
        <uploaded_by><![CDATA[3nids]]></uploaded_by>
        <create_date>2018-05-30T14:28:33.749660+00:00</create_date>
        <update_date>2018-05-30T15:57:27.454404+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis_geomapfish_locator/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis_geomapfish_locator]]></repository>
        <tags><![CDATA[geomapfish,locator]]></tags>
        <downloads>18716</downloads>
        <average_vote>4.24946881639795</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Flickr Metadata Downloader" version="0.8" plugin_id="1483">
        <description><![CDATA[This plugin helps downloading metadata of geotagged Flickr photos]]></description>
        <about><![CDATA[This plugin helps downloading metadata of geotagged public Flickr photos within a given geographic quadrangle.
Metadata includes geographic position, user ID, date, tags and the URL of a small thumbnail image as well.
The downloaded data is stored in a Spatialite database file.
A free Flickr API key is required to use this plugin]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://samanbey.github.io/flickrdl]]></homepage>
        <file_name>flickrdl.0.8.zip</file_name>
        <icon>/media/packages/2026/icon_Jzlj2sE.png</icon>
        <author_name><![CDATA[Mátyás Gede]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flickrdl/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[samanbey]]></uploaded_by>
        <create_date>2018-06-13T06:15:34.020060+00:00</create_date>
        <update_date>2026-01-16T12:05:24.670263+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/samanbey/flickrdl/issues]]></tracker>
        <repository><![CDATA[https://github.com/samanbey/flickrdl]]></repository>
        <tags><![CDATA[python,geotag,flickr,geotagged]]></tags>
        <downloads>4469</downloads>
        <average_vote>3.4346332768140515</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FS3" version="1.0" plugin_id="1484">
        <description><![CDATA[Quickly generate, display, and compare basic statistics and graphs for numeric and text fields of vector layer(s)]]></description>
        <about><![CDATA[This plugin was created by Orden Aitchedji, McKenna Duzac, Andreas Foulk and Tanner Lee during the 2018 summer field section at the Colorado School Of Mines in collaboration with Brian Krzys at Newmont Exploration.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/andreasfoulk/FS3]]></homepage>
        <file_name>FS3.1.0.zip</file_name>
        <icon>/media/packages/2018/FS3Icon_N6Kxnwq.png</icon>
        <author_name><![CDATA[Orden Aitchedji, McKenna Duzac, Andreas Foulk, Tanner Lee]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FS3/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[afoulk]]></uploaded_by>
        <create_date>2018-06-13T22:19:17.275669+00:00</create_date>
        <update_date>2018-06-13T22:19:18.421192+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/andreasfoulk/FS3/issues]]></tracker>
        <repository><![CDATA[https://github.com/andreasfoulk/FS3]]></repository>
        <tags><![CDATA[vector,python,attribute edit,analysis,export,statistics,field,multiple,graph]]></tags>
        <downloads>15142</downloads>
        <average_vote>4.344677769732078</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Swiss Locator" version="1.9.900" plugin_id="1487">
        <description><![CDATA[A locator filter for Swiss Geoportal (geo.admin.ch) and opendata.swiss resources]]></description>
        <about><![CDATA[Search for locations, WMS layers of features in the whole Swiss Geoportal catalog as well as in opendata.swiss]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis-swiss-locator]]></homepage>
        <file_name>swiss_locator.1.9.900.zip</file_name>
        <icon>/media/packages/2026/swiss_locator_2KwAaOk.png</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/swiss_locator/version/1.9.900/download/</download_url>
        <uploaded_by><![CDATA[3nids]]></uploaded_by>
        <create_date>2018-06-17T05:00:59.946864+00:00</create_date>
        <update_date>2022-08-15T14:31:24.308514+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis-swiss-locator]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis-swiss-locator]]></repository>
        <tags><![CDATA[locator,swiss,geoadmin,suisse,geoportal,schweiz,opendata.swiss]]></tags>
        <downloads>41838</downloads>
        <average_vote>4.822115064109687</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QConsolidate3" version="0.2.0" plugin_id="1490">
        <description><![CDATA[QConsolidate3]]></description>
        <about><![CDATA[QConsolidate3 is a modified version of QConsolidate (https://github.com/alexbruy/qconsolidate) and OQ-Consolidate (https://github.com/gem/oq-consolidate), that copies raster layers and converts vector layers to GeoPackage or ESRI ShapeFile, creates a project if it does not exist yet, allows to give a customized (validated) name to the consolidated project, allows to store all the project files in a zip file]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/danzig666/qconsolidate3/]]></homepage>
        <file_name>qconsolidate3.0.2.0.zip</file_name>
        <icon>/media/packages/2018/qconsolidate.png</icon>
        <author_name><![CDATA[Danzig]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qconsolidate3/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[abelke]]></uploaded_by>
        <create_date>2018-06-19T06:02:47.123709+00:00</create_date>
        <update_date>2018-06-19T06:02:47.735871+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/danzig666/qconsolidate3/issues]]></tracker>
        <repository><![CDATA[https://github.com/danzig666/qconsolidate3/]]></repository>
        <tags><![CDATA[openquake]]></tags>
        <downloads>77712</downloads>
        <average_vote>4.23451562326391</average_vote>
        <rating_votes>81</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EcoValuator 3.2.2" version="3.2.2" plugin_id="1492">
        <description><![CDATA[This plugin calculates ecosystem service values for a given area.]]></description>
        <about><![CDATA[The QGIS EcoValuator provides a simple means of estimating the dollar value of ecosystem services, such as for recreation, water supply, food, and others.  In the first step, the EcoValuator clips and attaches raster data from the National Land Cover Database (NLCD) to a user-supplied polygon or polygon layer and attaches a set of per-unit-area values based on the land cover type of each pixel. Output from this step includes a new raster including just the clipped data and a table of aggregate ecosystem service values (in dollars per year) for each land cover-and-ecosystem service combination. In the second step, the EcoValuator generates a raster for a chosen ecosystem service so that users can view the spatial variation in that service’s value across the study region. By repeating this step for other ecosystem services, the user can create a series of maps of different values that can be layered or stacked to show combined value for multiple services. The  third step generates a .pdf output of the raster layer output from step 2. The output is based on the extent of the map and the legend is comprised of the layers active in the map frame. Lastly, users can add title, subtitle, and credit text to the final output.                                                                                        Development of the EcoValuator has been made possible by the National Fish and Wildlife Foundation through its generous support of Key-Log Economics’ research program “Ecosystem Services in the Roanoke River Basin”. Download the landcover data used in ecovaluator from http://bit.ly/ecovaldata.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Key-Log-Economics/eco-valuator]]></homepage>
        <file_name>ecovaluator.3.2.2.zip</file_name>
        <icon>/media/packages/2021/icon_3RDhTrJ.png</icon>
        <author_name><![CDATA[Key-Log Economics]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ecovaluator/version/3.2.2/download/</download_url>
        <uploaded_by><![CDATA[keylog]]></uploaded_by>
        <create_date>2018-06-22T12:29:53.113617+00:00</create_date>
        <update_date>2021-04-16T12:41:46.358608+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Key-Log-Economics/eco-valuator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Key-Log-Economics/eco-valuator]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4432</downloads>
        <average_vote>3.624546931633546</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MAJIC" version="0.3" plugin_id="1497">
        <description><![CDATA[Load MAJIC files into QGIS]]></description>
        <about><![CDATA[Import MAJIC files (french land registry) into QGIS. It provides the raw tables and leaves the user responsible for their processing. Please see homepage.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://framagit.org/jbdesbas/majic/]]></homepage>
        <file_name>Majic.0.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[JB Desbas - Quartier libre]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Majic/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[jbdesbas]]></uploaded_by>
        <create_date>2018-06-26T07:45:11.519215+00:00</create_date>
        <update_date>2018-07-01T09:58:36.485077+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://framagit.org/jbdesbas/majic/issues/]]></tracker>
        <repository><![CDATA[https://framagit.org/jbdesbas/majic/]]></repository>
        <tags><![CDATA[processing,cadastre,foncier,france]]></tags>
        <downloads>4099</downloads>
        <average_vote>0.9995002498750625</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Extreme Value Classification for Polygon" version="1.1" plugin_id="1498">
        <description><![CDATA[Task-Oriented Data Classification for Choropleth Maps  &lt;br/&gt;  Pre-request python packages: fiona, shapely, pysal, rtree, sklearn, dbf]]></description>
        <about><![CDATA[Copyright: Hafencity University Hamburg - Lab for Geoinformatics and Geovisualization (g2lab) &lt;br/&gt; This plugin helps you to better display local extreme values within polygon for choropleth maps.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.geomatik-hamburg.de/g2lab/research-achor.html]]></homepage>
        <file_name>aChor.1.1.zip</file_name>
        <icon>/media/packages/2020/icon_Xe8PhXh.png</icon>
        <author_name><![CDATA[Prof. Jochen Schiewe, M.Sc. Juiwen Chang, Philipp Loose]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/aChor/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[g2lab]]></uploaded_by>
        <create_date>2018-06-26T09:33:21.386799+00:00</create_date>
        <update_date>2020-07-02T08:02:50.158865+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Ariel505/aChor/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/g2lab/aChor]]></repository>
        <tags><![CDATA[vector,python,polygon,style,classification,cluster,hotspot,choropleth maps,local extreme values]]></tags>
        <downloads>11891</downloads>
        <average_vote>4.181438051086265</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TopoUSM2" version="0.2" plugin_id="1509">
        <description><![CDATA[Terrain enhancer with USM]]></description>
        <about><![CDATA[TopoUSM is a group of tool to enhance visuals of DEM. 1. Ambient shading tool: Adding &quot;realistic&quot; ambient shading for DEM. Best to be sandwitched between pseudo-colored elevation layer and hillshade layer with Overlay or Hard-light blending mode. 2. Generating smoothed terrain in the same resolution as the original raster file. Best friend of contour generating tools.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sites.google.com/view/topousmx/]]></homepage>
        <file_name>TopoUSM-QGIS-master.0.2.zip</file_name>
        <icon>/media/packages/2018/icon_rYaHn1a.png</icon>
        <author_name><![CDATA[Fumihiko Ikegami]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TopoUSM-QGIS-master/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[geoign]]></uploaded_by>
        <create_date>2018-07-14T12:00:12.190344+00:00</create_date>
        <update_date>2018-07-16T03:28:04.501131+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoign/TopoUSM-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/geoign/TopoUSM-QGIS]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2990</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QWater" version="3.0.1" plugin_id="1511">
        <description><![CDATA[Hydraulic design and analysis of water supply networks]]></description>
        <about><![CDATA[QWater is a plugin based on GHydraulics Plugin from &lt;a href=&quot;mailto:sdteffen@sdteffen.de&quot;&gt;Steffen Macke&lt;/a&gt;. It allows to design and analyze water supply networks using EPANET (no need to install). It allows to write EPANET INP files as well as running an EPANET simulation from QGIS complete with loading the result data. QWater contains a function to calculate economic diameters based on given diameters and maximum friction headloss. The functions are accessible from the Qgis plugin menu and toolbars.
&lt;p&gt;If this plugin is useful for you, consider to donate to the author.&lt;/p&gt;
&lt;a href=&quot;https://www.paypal.com/cgi-bin/webscr?cmd=_donations&amp;business=G5ERSTGG4U426&amp;lc=BR&amp;item_name=Jorge+Almerio/Qgis+QWater+plugin&amp;item_number=QWater&amp;currency_code=BRL&amp;bn=PP-DonationsBF:btn_donateCC_LG.gif:NonHosted&quot; target=&quot;_blank&quot;&gt;
&lt;img border=&quot;0&quot; alt=&quot;Donate&quot; src=&quot;https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif&quot;&gt;
&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jorgealmerio/QWater/blob/master/README.md]]></homepage>
        <file_name>QWater.3.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_8i2o5lt.png</icon>
        <author_name><![CDATA[Jorge Almerio]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QWater/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[jorgealmerio]]></uploaded_by>
        <create_date>2018-07-26T17:28:44.601369+00:00</create_date>
        <update_date>2018-07-26T17:28:45.548870+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jorgealmerio/QWater/issues]]></tracker>
        <repository><![CDATA[https://github.com/jorgealmerio/QWater]]></repository>
        <tags><![CDATA[analysis,network,supply,inp,hydraulic,water,epanet,export,pipe,giswater]]></tags>
        <downloads>73860</downloads>
        <average_vote>4.536166142519673</average_vote>
        <rating_votes>69</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Offline-MapMatching" version="1.1.3" plugin_id="1517">
        <description><![CDATA[a QGIS-plugin for matching a trajectory with a network using a Hidden Markov Model and Viterbi algorithm]]></description>
        <about><![CDATA[Because of inaccuracies of the GNSS signal and/or a low data quality of the network, the positions of the trajectory and the network are differing. In many cases a simple snapping of the trajectory on the network will not work to reproduce the real track on the network. Reasons for that can be e.g. outliers in the trajectory or crossings of edges in the network. This plugin provides a statistical approach to solve the problem of offline map matching using the principles of Hidden Markov Models (HMM) and the Viterbi algorithm.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jagodki/Offline-MapMatching]]></homepage>
        <file_name>Offline-MapMatching.1.1.3.zip</file_name>
        <icon>/media/packages/2020/icon_mwyMYAb.png</icon>
        <author_name><![CDATA[Christoph Jung]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Offline-MapMatching/version/1.1.3/download/</download_url>
        <uploaded_by><![CDATA[jagodki]]></uploaded_by>
        <create_date>2018-08-05T13:47:05.592265+00:00</create_date>
        <update_date>2018-10-09T18:48:49.258396+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jagodki/Offline-MapMatching/issues]]></tracker>
        <repository><![CDATA[https://github.com/jagodki/Offline-MapMatching]]></repository>
        <tags><![CDATA[trajectory,map matching,viterbi,hmm]]></tags>
        <downloads>26135</downloads>
        <average_vote>4.35177126349512</average_vote>
        <rating_votes>54</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LineComparison" version="0.1" plugin_id="1520">
        <description><![CDATA[This plugin supports line-based accuracy assessment by comparing two line layers.]]></description>
        <about><![CDATA[This plugin supports line-based accuracy assessment by comparing two line layers. Both layers are first buffered, then rasterized and overlaid to compute the confusion matrix. The confusion matrix is saved as an output text file containing the errors of omission and commission. Results are visualized in a plot that can be saved.

Video manual: https://youtu.be/RrqO7O8Qj9E]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://its4land.com/]]></homepage>
        <file_name>linecomparison.0.1.zip</file_name>
        <icon>/media/packages/2018/icon_0nRHjpx.png</icon>
        <author_name><![CDATA[Sophie Crommelinck]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/linecomparison/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[scrommelinck]]></uploaded_by>
        <create_date>2018-08-10T13:14:02.088648+00:00</create_date>
        <update_date>2018-08-10T13:14:02.518649+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SCrommelinck/LineComparison/issues]]></tracker>
        <repository><![CDATA[https://github.com/SCrommelinck/LineComparison]]></repository>
        <tags><![CDATA[python,confusion matrix,accuracy assessment]]></tags>
        <downloads>2501</downloads>
        <average_vote>3.4991252186953257</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Animate OSM" version="0.2.0" plugin_id="1525">
        <description><![CDATA[Animates OSM changes within a time frame and bounding box. This plugin has been developed for creating visualizations of work processed in hotosm.org tasks. Currently it only supports buildings.]]></description>
        <about><![CDATA[Animates OSM changes within a time frame and bounding box.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://510.global]]></homepage>
        <file_name>AnimateOsm.0.2.0.zip</file_name>
        <icon>/media/packages/2018/icon_6J8LZde.png</icon>
        <author_name><![CDATA[510, an initiative of The Netherlands Red Cross]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AnimateOsm/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[raymondnijssen]]></uploaded_by>
        <create_date>2018-08-24T12:30:43.958989+00:00</create_date>
        <update_date>2018-08-24T13:51:03.284875+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rodekruis/animateOsm/issues]]></tracker>
        <repository><![CDATA[https://github.com/rodekruis/animateOsm]]></repository>
        <tags><![CDATA[animation animate osm openstreetmap diff missing maps hotosm]]></tags>
        <downloads>76838</downloads>
        <average_vote>4.289360806294572</average_vote>
        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LAStools" version="0.4" plugin_id="1526">
        <description><![CDATA[batch-scriptable, multicore command-line tools for processing point clouds in LAS, LAZ, and ASCII formats]]></description>
        <about><![CDATA[LAStools is a collection of 50+ highly efficient, batch-scriptable, multicore command line tools for processing lidar. The software combines robust algorithms with efficient I/O and memory-efficient management to achieve high throughput for datasets containing billions of points. LAStools was first developed by Dr. Martin Isenburg, the creator of the popular LAZ format. This plugin exposes the capabilities of LAStools within QGIS using the processing framework. You also need to download the LAStools software from https://rapidlasso.de/. Instructions on how to install this plugin can be found in the user manual https://rapidlasso.de/lastools-as-qgis-plugin/.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/rapidlasso/LAStoolsPluginQGIS3]]></homepage>
        <file_name>LAStools.0.4.zip</file_name>
        <icon>/media/packages/2025/lastools_3FHvgOx.png</icon>
        <author_name><![CDATA[rapidlasso GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LAStools/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[lastools]]></uploaded_by>
        <create_date>2018-08-26T14:15:25.927033+00:00</create_date>
        <update_date>2018-08-30T13:57:35.597045+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/rapidlasso/LAStoolsPluginQGIS3/issues]]></tracker>
        <repository><![CDATA[http://github.com/rapidlasso/LAStoolsPluginQGIS3]]></repository>
        <tags><![CDATA[points,dem,dtm,classification,processing,pre-processing,lidar,point cloud,phodar,lastools,pointclouds,chm,dsm,contours,laz,las,pointcloud,filtering]]></tags>
        <downloads>502338</downloads>
        <average_vote>4.7162071115692825</average_vote>
        <rating_votes>518</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RiverMetrics" version="0.3.1" plugin_id="1527">
        <description><![CDATA[The plugin allows to calculate the river metrics]]></description>
        <about><![CDATA[The plugin allows to calculate the river sinuosity and river braiding index using a vectorline representing the river axis and a polygon layer representin the wet channel. The vector line of river axis must contain only one feature and the coordinate reference system must be not geographical (long-lat) type. The plugin check this conditions by the validate geom button.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pierluigiderosa/RiverMetrics]]></homepage>
        <file_name>RiverMetrics.0.3.1.zip</file_name>
        <icon>/media/packages/2024/icon_new_Xamps4w.png</icon>
        <author_name><![CDATA[Pierluigi De Rosa e Andrea Fredduzzi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RiverMetrics/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[pierluigiderosa]]></uploaded_by>
        <create_date>2018-08-27T13:05:06.988137+00:00</create_date>
        <update_date>2018-09-10T13:43:55.986491+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pierluigiderosa/RiverMetrics/issues]]></tracker>
        <repository><![CDATA[https://github.com/pierluigiderosa/RiverMetrics]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7746</downloads>
        <average_vote>2.843661135589513</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Canadian Web Services" version="0.1" plugin_id="1530">
        <description><![CDATA[This plugin provides easy access to many geospatial web services in the Canadian (.ca) domain.]]></description>
        <about><![CDATA[This loads a subset of Canadian geospatial web services that have been discovered as open and available. It is populated from an evergreen list of services, harvested weekly from the .ca landscape. It allows the user to add all layers of each service and retain the service connection in the user profile for later use.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/eswright/cgdi-qgis-services]]></homepage>
        <file_name>CanadianWebServices.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_pVQIVfv.png</icon>
        <author_name><![CDATA[Nathan Torrence, Aayush Dobriyal]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CanadianWebServices/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[ewright]]></uploaded_by>
        <create_date>2018-08-29T19:58:25.827652+00:00</create_date>
        <update_date>2018-08-29T19:58:26.794953+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eswright/cgdi-qgis-services/issues]]></tracker>
        <repository><![CDATA[https://github.com/eswright/cgdi-qgis-services]]></repository>
        <tags><![CDATA[python,wfs,wms,web services,canada,esri mapserver]]></tags>
        <downloads>14783</downloads>
        <average_vote>4.618827674872625</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QProto" version="1.2" plugin_id="1537">
        <description><![CDATA[Algorithm for rockfall analyses at small scale]]></description>
        <about><![CDATA[QPROTO is an algorithm for rockfall analyses at a small scale on the basis of the simplified *Cone Method* (Jaboyedoff &amp; Labious, 2011). It allows to preliminarily evaluate the effects of a rockfall event along a slope in terms of exposed areas, boulder velocity and boulder energy.A time-independent rockfall hazard can also be defined. QPROTO is designed by Politecnico di Torino (Marta Castelli, Monica Barbero &amp; Marco Grisolia), Arpa Piemonte (Rocco Pispico &amp; Luca Lanteri) and developed by Faunalia. This Plugin is partially funded by Italian 2015 PRIN Project: &quot;Innovative monitoring and design strategies for sustainable landslide risk mitigation&quot;. &lt;br&gt;
&lt;strong&gt;WARNING&lt;/strong&gt;&lt;br&gt;
Due to evolutions of the SAGA modules used in the plugin, QPROTO is not working in the latest versions of QGIS. &lt;br&gt;
While waiting to update the plugin, we recommend using the portable version &quot;QGIS 3.16.6-1 Hannover&quot; which can be used safely without interference with other QGIS installations. &lt;br&gt;
In this repository by Salvatore Fiandaca [1] you can download QGIS version 3.16.6-1 Hannover Portable Grass 7.8.5 LTR [2] and then install QPROTO. &lt;br&gt;
[1] &lt;a href=&quot;https://github.com/pigreco/QGIS_portable_3x&quot;&gt;https://github.com/pigreco/QGIS_portable_3x&lt;/a&gt; &lt;br&gt;
[2] &lt;a href=&quot;https://drive.google.com/file/d/1em9phgWHZd_gDM2ItiliYWBOEFMx1rOS/view?usp=sharing&quot;&gt;https://drive.google.com/file/d/1em9phgWHZd_gDM2ItiliYWBOEFMx1rOS/view?usp=sharing&lt;/a&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/faunalia/QPROTO/tree/master/help]]></homepage>
        <file_name>qproto.1.2.zip</file_name>
        <icon>/media/packages/2024/icon_BUSDbCY.png</icon>
        <author_name><![CDATA[Matteo Ghetta (Faunalia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qproto/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[ghtmtt]]></uploaded_by>
        <create_date>2018-09-08T10:00:16.785096+00:00</create_date>
        <update_date>2018-09-09T20:56:30.124034+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/faunalia/QPROTO/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/faunalia/QPROTO/]]></repository>
        <tags><![CDATA[python,geology,viewshed,hazard,landslide,rockfall,cone method]]></tags>
        <downloads>12903</downloads>
        <average_vote>4.384446752047998</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Land Survey Codes Import" version="0.3.0-beta7" plugin_id="1538">
        <description><![CDATA[This plugin allows you to easily import data from a land survey (GPS or total station) to draw automatically in a database using a codification (aka Field Codes).]]></description>
        <about><![CDATA[This plugin allows you to easily import data from a land survey (GPS or total station) to draw automatically in a database using a codification. Circle, rectangle, square, ellipse Continuous line, arcs, Multi code]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/landsurveycodesimport/]]></homepage>
        <file_name>LandSurveyCodesImport.0.3.0-beta7.zip</file_name>
        <icon>/media/packages/2022/icon_ISpmqgt.svg</icon>
        <author_name><![CDATA[Loïc Bartoletti (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LandSurveyCodesImport/version/0.3.0-beta7/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2018-09-12T06:47:31.313772+00:00</create_date>
        <update_date>2021-06-24T19:03:47.338502+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/landsurveycodesimport/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/oslandia/QGIS/landsurveycodesimport/]]></repository>
        <tags><![CDATA[vector,geocoding,point,cad,database,export,polygon,polyline,field,gps,geometry,topography,import,processing,survey,circle,rectangle,land]]></tags>
        <downloads>25321</downloads>
        <average_vote>4.612754427276539</average_vote>
        <rating_votes>31</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geo2Local" version="0.1" plugin_id="1540">
        <description><![CDATA[This plugin converts coordinates]]></description>
        <about><![CDATA[This plugin can be used to convert geodetic coordinates into plane coordinates and plane coordinates into geodetic coordinates]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://curupiratecnologia.com.br/]]></homepage>
        <file_name>geo2local-master.0.1.zip</file_name>
        <icon>/media/packages/2018/icon_ODnZorE.png</icon>
        <author_name><![CDATA[Diego Moreira Carvalho - Curupira Tecnologia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo2local-master/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[diego]]></uploaded_by>
        <create_date>2018-09-13T19:04:31.581494+00:00</create_date>
        <update_date>2018-09-13T19:04:31.749784+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dmcarvalho/geo2local/issues]]></tracker>
        <repository><![CDATA[https://github.com/dmcarvalho/geo2local]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3929</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geoscience" version="0.62" plugin_id="1542">
        <description><![CDATA[Tools for Geoscience &amp; Exploration]]></description>
        <about><![CDATA[Geoscience: &lt;b&gt;Tools for Geoscience and Exploration&lt;/b&gt;&lt;ul&gt;&lt;li&gt;Drill hole display&lt;/li&gt;&lt;li&gt;Drill hole sections&lt;/li&gt;&lt;li&gt;Convert alpha/beta structure data&lt;/li&gt;&lt;li&gt;Vector tools&lt;/li&gt;&lt;li&gt;Raster tools&lt;/li&gt;&lt;li&gt;Local grids&lt;/li&gt;&lt;/ul&gt; Send ideas &amp; requests to roleyhill@gmail.com]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.spatialintegration.com/]]></homepage>
        <file_name>geoscience.0.62.zip</file_name>
        <icon>/media/packages/2026/Geoscience_Go1sJza.png</icon>
        <author_name><![CDATA[Roland Hill]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoscience/version/0.62/download/</download_url>
        <uploaded_by><![CDATA[roleyhill]]></uploaded_by>
        <create_date>2018-09-18T21:47:14.396817+00:00</create_date>
        <update_date>2018-10-29T11:34:47.735165+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rolandhill/geoscience/issues]]></tracker>
        <repository><![CDATA[https://github.com/rolandhill/geoscience]]></repository>
        <tags><![CDATA[python,geology,well,affine,borehole,section,geophysics,drilling,drill,geoscience,hole,drillhole,desurvey,local grid,mine grid,alpha,beta,structural reading]]></tags>
        <downloads>114301</downloads>
        <average_vote>4.47616383235814</average_vote>
        <rating_votes>168</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CityJSON Loader" version="0.3.0" plugin_id="1544">
        <description><![CDATA[This plugin allows for CityJSON files to be loaded in QGIS]]></description>
        <about><![CDATA[This plugin allows QGIS to load CityJSON datasets. Data are loaded in respective tables and all information are loaded.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cityjson/cityjson-qgis-plugin]]></homepage>
        <file_name>CityJSON-loader.0.3.0.zip</file_name>
        <icon>/media/packages/2025/cityjson_logo.svg</icon>
        <author_name><![CDATA[3D geoinformation group (TU Delft)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CityJSON-loader/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[liberostelios]]></uploaded_by>
        <create_date>2018-09-26T10:15:56.485903+00:00</create_date>
        <update_date>2019-07-24T14:51:10.676699+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cityjson/cityjson-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/cityjson/cityjson-qgis-plugin]]></repository>
        <tags><![CDATA[python,3d,cityjson]]></tags>
        <downloads>41333</downloads>
        <average_vote>4.239830406783728</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Imajnet QGIS" version="1.0.0" plugin_id="1546">
        <description><![CDATA[Imajnet QGIS]]></description>
        <about><![CDATA[imajnet® is a safe and powerful featured web service giving access to nationwide surveys performed with imajbox® mobile mapping system, for any entity within an organization. Flexible, imajnet® is provided with extensions and SDKs to be integrated in ESRI suite and any other third party GIS web or desktop application. More than a hosting platform for up-to-date field geo-localized images, imajnet® provides a set of tools to extract GIS data from surveys, search for places in geographical or linear coordinates, project vector layers in images, compare surveys over time and make 3D measurements.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://imajnet.net]]></homepage>
        <file_name>imajnet-qgis-plugin.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_iQc7tOU.png</icon>
        <author_name><![CDATA[Imajing sas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/imajnet-qgis-plugin/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[imajing]]></uploaded_by>
        <create_date>2018-10-03T10:42:24.154613+00:00</create_date>
        <update_date>2018-10-03T10:42:25.398068+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/imajing/imajnet-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/imajing/imajnet-qgis-plugin]]></repository>
        <tags><![CDATA[street view,image,imajing,imajnet,imajview,imajbox,mobile mapping]]></tags>
        <downloads>11272</downloads>
        <average_vote>4.299856671444285</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PDALtools" version="0.1.6" plugin_id="1548">
        <description><![CDATA[Installs PDALtools Processing provider]]></description>
        <about><![CDATA[The plugin installs the necessary tools to integrate PDAL into Processing Toolbox
&lt;b&gt;Prerequisite to use this provider is to have &lt;a href=&quot;http://www.pdal.io&quot;&gt;PDAL&lt;/a&gt; installed.&lt;/b&gt;
Any contribution as example models, generic pipelines, bug fix or new features
are warmly welcome!
Plugin developed for &lt;a href=&quot;https://cartolab.udc.es&quot;&gt;Cartolab&lt;/a&gt; as followup of &lt;a href=&quot;https://cartolab.udc.es/geomove&quot;&gt;GeoMove&lt;/a&gt; project.

&lt;b&gt;Probably now you want to use directly PDAL creating processing scripts
This plugin was born when were not possible to integrate PDAL via python3,
This limitation now disappeared with a fully integration of PDAL and python
binding in QGIS.&lt;/b&gt;

Note: Plugin logo courtesy of PDAL project]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cartolab/pdaltools]]></homepage>
        <file_name>pdaltools.0.1.6.zip</file_name>
        <icon>/media/packages/2021/pdal_logo_only.png</icon>
        <author_name><![CDATA[Luigi Pirelli, David Fernández Arango and Alberto Varela García (CartoLAB)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pdaltools/version/0.1.6/download/</download_url>
        <uploaded_by><![CDATA[luipir]]></uploaded_by>
        <create_date>2018-10-04T15:59:05.727026+00:00</create_date>
        <update_date>2021-04-29T17:06:12.032948+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cartolab/pdaltools/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cartolab/pdaltools]]></repository>
        <tags><![CDATA[dem,dtm,lidar,point cloud,pointclouds,chm,dsm,contours,laz,las,pointcloud,pipeline,pcl,pdal,segmentation]]></tags>
        <downloads>16598</downloads>
        <average_vote>3.0336737789463037</average_vote>
        <rating_votes>89</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoMove Processing provider" version="0.1.1" plugin_id="1552">
        <description><![CDATA[Installs GeoMove models and scripts in Processing toolbox]]></description>
        <about><![CDATA[This plugin installs the GeoMove models and algorithms/scripts into Processing Toolbox
&lt;b&gt;Prerequisite to use this provider is to have &lt;a href=&quot;https://plugins.qgis.org/plugins/pdaltools/&quot;&gt;PDALtools&lt;/a&gt; QGIS plugin installed&lt;/b&gt;
Plugin developed for &lt;a href=&quot;http://cartolab.udc.es/cartoweb/&quot;&gt;Cartolab&lt;/a&gt; as followup of &lt;a href=&quot;http://cartolab.udc.es/geomove/&quot;&gt;GeoMove&lt;/a&gt; project.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/cartolab/geomovetools]]></homepage>
        <file_name>geomovetools.0.1.1.zip</file_name>
        <icon>/media/packages/2018/geomovelogo_simple_8dpgtBu.png</icon>
        <author_name><![CDATA[Luigi Pirelli and David fernandez Arango and Alberto Varela García (CartoLAB)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geomovetools/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[luipir]]></uploaded_by>
        <create_date>2018-10-11T10:29:31.199231+00:00</create_date>
        <update_date>2018-10-11T15:14:32.345880+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cartolab/geomovetools/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cartolab/geomovetools]]></repository>
        <tags><![CDATA[routing,cost,opendata,lidar,point cloud,mobility,pointclouds,pointcloud,pipeline,pdal,pedestrian,wheelchair,geomove]]></tags>
        <downloads>4666</downloads>
        <average_vote>1.9332044530364643</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BioDispersal" version="1.0" plugin_id="1557">
        <description><![CDATA[Computes dispersal areas based on landscape permeability]]></description>
        <about><![CDATA[NEW: Video tutorials available !&lt;/br&gt;&lt;/br&gt;BioDispersal is a QGIS 3 plugin computing potential dispersal areas based on landscape permeability in order to model ecological continuities. It defines a procedure easing data preparation and performing effective dispersal computation. For each subnetwork (for instance grasslands, wetlands, a specific species) :
- input data is selected, classified and rasterized according to specified extent and resolution
- rasterized layers are merged
- friction coefficients are assigned to merged layer classes
- disperal areas are computed from habitat layer according to friction layer and maximal dispersal capacity
BioDispersal has been developped by Mathieu Chailloux and Jennifer Amsallem from IRSTEA / UMR TETIS. It has been funded by the French ecological network resource center and French ministry of ecology.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MathieuChailloux/BioDispersal/blob/master/README.md]]></homepage>
        <file_name>BioDispersal.1.0.zip</file_name>
        <icon>/media/packages/2025/cerf.png</icon>
        <author_name><![CDATA[Mathieu Chailloux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BioDispersal/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mc]]></uploaded_by>
        <create_date>2018-10-24T09:55:43.377030+00:00</create_date>
        <update_date>2018-10-24T09:55:44.010243+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MathieuChailloux/BioDispersal/issues]]></tracker>
        <repository><![CDATA[https://github.com/MathieuChailloux/BioDispersal]]></repository>
        <tags><![CDATA[ecology,python,landscape,animal,permeability,ecological continuities,dispersal]]></tags>
        <downloads>27001</downloads>
        <average_vote>4.590700422708059</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Hydronet Check &amp; Flip" version="1.0" plugin_id="1565">
        <description><![CDATA[Checks the hydro-network from the outfall and flip the arcs if necessary]]></description>
        <about><![CDATA[Checks a set of trees that represent hydrographic networks from their outfalls, flipping the arcs, where necessary, to orient them in a hydrological sense.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JeronimoCarranza/hydronet_check_and_flip-qgis-plugin]]></homepage>
        <file_name>hydronet_check_and_flip.1.0.zip</file_name>
        <icon>/media/packages/2018/icon_YQEPJ7F.png</icon>
        <author_name><![CDATA[Jeronimo Carranza - asterionat.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hydronet_check_and_flip/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[jeronimocarranza]]></uploaded_by>
        <create_date>2018-11-07T21:29:05.596976+00:00</create_date>
        <update_date>2018-11-07T21:29:06.235098+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JeronimoCarranza/hydronet_check_and_flip-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/JeronimoCarranza/hydronet_check_and_flip-qgis-plugin]]></repository>
        <tags><![CDATA[vector,line,edit,hydrography,hydrographic network,outfall,automatic orientation]]></tags>
        <downloads>2673</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geometry Attribute Table" version="0.1.1" plugin_id="1567">
        <description><![CDATA[A vector attribute table with geometry descriptions.  This plugin was created because colleagues and new users to QGIS inadvertently keep creating records with &quot;Empty&quot; or null geometries when they are editing geometries.  For example, it is not unusual for a GIS user new to QGIS to create a record with an &quot;Empty&quot; geometry when they are trying to delete a record.]]></description>
        <about><![CDATA[Adds geometry information to the attribute table.  Shows if a feature has an &quot;Empty&quot; or null geometry.   Uses icons to show whether a geometry type is single part only or multi-point for each record when the geometry is not &quot;Empty&quot; or null.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://philipwhitten.github.io/geomAttribute/html/index.html]]></homepage>
        <file_name>geomAttribute.0.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Philip Whitten]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geomAttribute/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[wollondilly]]></uploaded_by>
        <create_date>2018-11-12T03:26:47.592611+00:00</create_date>
        <update_date>2019-06-10T02:04:02.684779+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PhilipWhitten/geomAttribute/issues]]></tracker>
        <repository><![CDATA[https://github.com/PhilipWhitten/geomAttribute]]></repository>
        <tags><![CDATA[vector,python,attribute,table,geometry]]></tags>
        <downloads>7241</downloads>
        <average_vote>3.856591915440651</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SPUGeo Memorial" version="1.3" plugin_id="1570">
        <description><![CDATA[Generates descriptive memorials in the format of the SPU of the Federal Government of Brazil]]></description>
        <about><![CDATA[Calculates azimuths and distances for a selected feature. The feature can be either a line or a polygon. Generates descriptive memorials in the format of the SPU of the Federal Government of Brazil. This add-on is a modified version of the Azimuth Distance Calculator plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/spuhub/SPUGeo-Memorial]]></homepage>
        <file_name>spugeomemorial.1.3.zip</file_name>
        <icon>/media/packages/2024/icon_uTYcezQ.png</icon>
        <author_name><![CDATA[SPU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spugeomemorial/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[spume]]></uploaded_by>
        <create_date>2018-11-14T14:50:09.073103+00:00</create_date>
        <update_date>2024-12-23T14:50:40.239837+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/spuhub/SPUGeo-Memorial/issues]]></tracker>
        <repository><![CDATA[https://github.com/spuhub/SPUGeo-Memorial.git]]></repository>
        <tags><![CDATA[descriptive memorials,azimuths]]></tags>
        <downloads>12092</downloads>
        <average_vote>4.374726579588775</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NeatMap" version="1.2" plugin_id="1595">
        <description><![CDATA[A simple QGIS python plugin for building neat maps.]]></description>
        <about><![CDATA[A QGIS python plugin for building organized maps (i.e for the classification and producing layout of polygonal features). Initially developped  by Mickaël Brasebin Julien Perret, Rose Matelier and Bruce Thomas at ENSG/IGNF. The project is developed as an Open-Source library based on QGIS API V3.0, for morphological operators and layout generation and Scikit learn 0.19.1 : for the classification.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/IGNF/NeatMap]]></homepage>
        <file_name>NeatMap.1.2.zip</file_name>
        <icon>/media/packages/2019/icon_YQ0IZPR.png</icon>
        <author_name><![CDATA[IGN-ENSG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NeatMap/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[mbrasebin]]></uploaded_by>
        <create_date>2018-12-18T11:48:23.418914+00:00</create_date>
        <update_date>2019-02-07T17:41:36.978997+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IGNF/NeatMap/issues]]></tracker>
        <repository><![CDATA[https://github.com/IGNF/NeatMap]]></repository>
        <tags><![CDATA[classification;layouts]]></tags>
        <downloads>2761</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Model Baker" version="v8.3.0" plugin_id="1596">
        <description><![CDATA[Model Baker creates QGIS projects from models or database schemas]]></description>
        <about><![CDATA[Model Baker (previously QgsProjectGenerator) creates QGIS projects from INTERLIS models, PostGIS database schemas or GeoPackages. It preconfigures layers, widgets, relations and much more based on meta information available from models.]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://modelbaker.ch]]></homepage>
        <file_name>QgisModelBaker.v8.3.0.zip</file_name>
        <icon>/media/packages/2026/QgisModelBaker-icon_S2b1l2x.svg</icon>
        <author_name><![CDATA[OPENGIS.ch GmbH in collaboration with SwissTierras Colombia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QgisModelBaker/version/v8.3.0/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2018-12-25T08:55:37.901756+00:00</create_date>
        <update_date>2026-03-04T14:33:02.856441+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/QgisModelBaker/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/QgisModelBaker]]></repository>
        <tags><![CDATA[project,postgis,postgres,interlis,model,geopackage,gpkg,schema,xtf,projectgenerator,ili,qgismodelbaker,modelbaker]]></tags>
        <downloads>102727</downloads>
        <average_vote>4.666537040637761</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Near Shore Bathymetry Estimator" version="1.1" plugin_id="1600">
        <description><![CDATA[Bathymetry determination using Multi Spectral Satellite imageries.]]></description>
        <about><![CDATA[This plugin is used to estimate approx depth between 2m to 20m using multispectral satellite images.
It can estimate the actual depth provided actual depth of some field points are given as a shape file.
Without the actual data, it can estimate only the relative water depth.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/balajiceg/NearShoreBathymetryPlugin]]></homepage>
        <file_name>NearShoreBathymetry.1.1.zip</file_name>
        <icon>/media/packages/2022/icon_1p3jbhG.png</icon>
        <author_name><![CDATA[Balaji Ramesh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NearShoreBathymetry/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[balajiceg]]></uploaded_by>
        <create_date>2019-01-08T10:42:08.641479+00:00</create_date>
        <update_date>2022-06-19T03:44:45.542617+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/balajiceg/NearShoreBathymetryPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/balajiceg/NearShoreBathymetryPlugin]]></repository>
        <tags><![CDATA[log ratio method,water depth,bathymetry]]></tags>
        <downloads>4354</downloads>
        <average_vote>3.61694432033361</average_vote>
        <rating_votes>47</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Local Dominance Visualisation" version="1.0.2" plugin_id="1605">
        <description><![CDATA[This plugin makes Local Dominance visualisations of raster images]]></description>
        <about><![CDATA[This plugin makes Local Dominance visualisations of raster images which enchances e.g. very subtle features in digital elevation models.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ThomasLjungberg/LocalDominance-visualisation]]></homepage>
        <file_name>local_dominance.1.0.2.zip</file_name>
        <icon>/media/packages/2022/icon_Dnhjs7n.png</icon>
        <author_name><![CDATA[Thomas Ljungberg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/local_dominance/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[thomasljungberg]]></uploaded_by>
        <create_date>2019-01-16T14:35:17.180211+00:00</create_date>
        <update_date>2022-02-25T20:45:23.136206+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ThomasLjungberg/LocalDominance-visualisation/issues]]></tracker>
        <repository><![CDATA[https://github.com/ThomasLjungberg/LocalDominance-visualisation]]></repository>
        <tags><![CDATA[dem,landscape,archaeology,lidar,morphology,visualisation]]></tags>
        <downloads>3801</downloads>
        <average_vote>3.3329630041106544</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Project Colors Dock" version="1.0.0" plugin_id="1609">
        <description><![CDATA[A dock widget for live modification of linked project colors]]></description>
        <about><![CDATA[A dock widget for live modification of linked project colors]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.5.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/north-road/qgis-project-colors-dock]]></homepage>
        <file_name>project_colors_dock.1.0.0.zip</file_name>
        <icon>/media/packages/2019/icon_hEfnBLS.png</icon>
        <author_name><![CDATA[North Road]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/project_colors_dock/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2019-01-18T00:42:58.036118+00:00</create_date>
        <update_date>2019-01-18T00:42:58.196942+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/north-road/qgis-project-colors-dock/issues]]></tracker>
        <repository><![CDATA[https://github.com/north-road/qgis-project-colors-dock]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1682</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Qweetgis" version="0.1" plugin_id="1614">
        <description><![CDATA[A QGIS Plugin for Twitter Streaming API]]></description>
        <about><![CDATA[This plugin allow to download and visualise on a map twitter messages that contain coordinates in real time, without locking/freezing the main thread. The plug-in uses Twitter&#x27;s Data Streaming API. The plug-in is based on the third party Python package Tweepy, thishas to be installed separately, instructions in the docs. Also, to access the Twitter API you will need the two API keys Twitter and the two OAuth tokens. This plug-in is based on the geotweet plug-in created for older versions of QGIS by Riccardo Klinger, geolicious.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ale-cristofori/Qweetgis]]></homepage>
        <file_name>qweetgis.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_ME9a96r.svg</icon>
        <author_name><![CDATA[Alessandro Cristofori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qweetgis/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[alexchris]]></uploaded_by>
        <create_date>2019-01-22T19:22:40.002606+00:00</create_date>
        <update_date>2019-01-22T19:22:40.211677+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ale-cristofori/Qweetgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/ale-cristofori/Qweetgis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2393</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Hqgis" version="0.4.1" plugin_id="1616">
        <description><![CDATA[Routing, Geocoding, POI search, Isochrones with the HERE API.]]></description>
        <about><![CDATA[Access the HERE API from inside QGIS using your own HERE-API key. Currently supports Geocoding, Routing, POI-search and isochrone analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/riccardoklinger/Hqgis]]></homepage>
        <file_name>Hqgis.0.4.1.zip</file_name>
        <icon>/media/packages/2023/icon_sBqh8Sl.png</icon>
        <author_name><![CDATA[Riccardo Klinger]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Hqgis/version/0.4.1/download/</download_url>
        <uploaded_by><![CDATA[riccardoklinger]]></uploaded_by>
        <create_date>2019-01-25T11:10:47.402586+00:00</create_date>
        <update_date>2019-02-08T21:51:55.525465+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/riccardoklinger/Hqgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/riccardoklinger/Hqgis]]></repository>
        <tags><![CDATA[python,routing,poi,here,isochrone,api]]></tags>
        <downloads>72525</downloads>
        <average_vote>4.114226939615148</average_vote>
        <rating_votes>70</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IBAMA processing" version="1.4" plugin_id="1622">
        <description><![CDATA[Algorithms for processing framework]]></description>
        <about><![CDATA[Algorithms:
- Footprint: Create a catalog layer from directories of images.
* Icon made by Freepik (http://www.freepik.com) from www.flaticon.com is licensed by Creative Commons BY 3.0

This tools are developed on the demand of IBAMA(Brazilian Institute of Environment and Renewable Natural Resources)
http://www.ibama.gov.br]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/ibamaprocessing/wiki]]></homepage>
        <file_name>ibamaprocessing.1.4.zip</file_name>
        <icon>/media/packages/2020/ibama_83GHsbd.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ibamaprocessing/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2019-01-30T18:38:43.178836+00:00</create_date>
        <update_date>2019-11-27T18:42:08.178719+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/ibamaprocessing/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/ibamaprocessing]]></repository>
        <tags><![CDATA[tools,ibama,algorithms]]></tags>
        <downloads>16002</downloads>
        <average_vote>4.099590040995901</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Trajectools" version="1.0.3" plugin_id="1624">
        <description><![CDATA[Processing tools for handling trajectory data]]></description>
        <about><![CDATA[Trajectools adds trajectory analysis algorithms to the QGIS Processing toolbox. Trajectools requires MovingPandas &gt;= 0.22.3 and optionally integrates scikit-mobility (for privacy tests), stonesoup (for smoothing), and gtfs_functions (for GTFS data support). See the plugin homepage for installation recommendations. Sample data for testing the functionality is provided with the plugin download.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://codeberg.org/movingpandas/trajectools]]></homepage>
        <file_name>processing_trajectory.1.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_Djb02yR.png</icon>
        <author_name><![CDATA[Anita Graser]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_trajectory/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[anitagraser]]></uploaded_by>
        <create_date>2019-02-02T13:34:07.396241+00:00</create_date>
        <update_date>2020-04-05T11:08:12.458744+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://codeberg.org/movingpandas/trajectools/issues]]></tracker>
        <repository><![CDATA[https://codeberg.org/movingpandas/trajectools]]></repository>
        <tags><![CDATA[transport,mobility,gtfs,trajectories,movement,public transport,spatiotemporal,tracks]]></tags>
        <downloads>14744</downloads>
        <average_vote>4.185030184067257</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GxABT - FixLambert72" version="0.1.1" plugin_id="1628">
        <description><![CDATA[Fix and transform Lambert72 coordinates from WGS84 for Belgium area (specially used for Emlid REACH RTK).]]></description>
        <about><![CDATA[This plugin does 2 things:
- uses a correction grid to fix calculated Lambert72 coordinates (compared to knew locations)
- uses a correction grid to convert ellipsoidal height (Hetrs89) to orthometric altitude (&quot;altitude orthométrique référencée au Deuxième Nivellement Général&quot;)
ULiège - GxABT ; Gestion des ressources forestières
This version for QGIS 2.8 is no longer mainted]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.gembloux.ulg.ac.be/gf]]></homepage>
        <file_name>fix_lambert72.0.1.1.zip</file_name>
        <icon>/media/packages/2019/icon22_3XACX00.png</icon>
        <author_name><![CDATA[Samuel Quevauvillers]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fix_lambert72/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[chatmetaleux]]></uploaded_by>
        <create_date>2019-02-04T15:36:34.068145+00:00</create_date>
        <update_date>2019-02-04T15:36:34.917352+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Chatmetaleux/fix_lambert72/issues]]></tracker>
        <repository><![CDATA[https://github.com/Chatmetaleux/fix_lambert72]]></repository>
        <tags><![CDATA[l72,lb72,lambert72]]></tags>
        <downloads>1589</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Aderyn Data Search" version="0.3" plugin_id="1640">
        <description><![CDATA[This plugin searches the LERC Wales Aderyn wildlife database.]]></description>
        <about><![CDATA[This plugin searches the LERC Wales Aderyn wildlife database. Different search geometries can be used and different buffers specified for each species category. To use this plugin, you must have access to the LERC Wales merged database. Your login details for the database will be required to use this plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://aderyn.lercwales.org]]></homepage>
        <file_name>aderyn.0.3.zip</file_name>
        <icon>/media/packages/2019/icon_SlLAgOZ.png</icon>
        <author_name><![CDATA[Biodiversity Information Service]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/aderyn/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[stevebis]]></uploaded_by>
        <create_date>2019-02-13T09:52:11.103207+00:00</create_date>
        <update_date>2019-06-20T09:37:37.731539+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BiodiversityInformationService/aderyn-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/stevegoddard/aderyn-qgis-plugin]]></repository>
        <tags><![CDATA[python aderyn wales lerc]]></tags>
        <downloads>19121</downloads>
        <average_vote>3.27242977911099</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QWeb" version="0.1" plugin_id="1646">
        <description><![CDATA[This plugin enables users to open a window within the QGIS environment where the user can browse through the web.]]></description>
        <about><![CDATA[This plugin enables users to open a window within the QGIS environment where the user can browse through the web. This can help the user to view for example tutorials and manuals for QGIS or any other web content.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mariosmsk.com/2019/02/16/qweb-qgis/]]></homepage>
        <file_name>QWeb.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_WJCyG8q.png</icon>
        <author_name><![CDATA[Marios S. Kyriakou, George A. Christou, KIOS Research and Innovation Center of Excellence (KIOS CoE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QWeb/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
        <create_date>2019-02-16T16:42:13.294100+00:00</create_date>
        <update_date>2019-02-16T16:42:15.062237+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KIOS-Research/QWeb/issues/]]></tracker>
        <repository><![CDATA[https://github.com/KIOS-Research/QWeb]]></repository>
        <tags><![CDATA[python,web,google,qgis,forums]]></tags>
        <downloads>41061</downloads>
        <average_vote>4.761678015332603</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ibama Expressions" version="0.2" plugin_id="1651">
        <description><![CDATA[Plugin add new functions in expression]]></description>
        <about><![CDATA[This plugin add the functions in expression:
getDateLandsat, getDateRapideye, getDateSentinel, getDatePlanetScope
getUTMZone and area_crs]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/ibama_expressions/wiki]]></homepage>
        <file_name>ibama_expressions.0.2.zip</file_name>
        <icon>/media/packages/2020/ibama_expressions_gmHEBGs.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ibama_expressions/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2019-02-19T18:04:03.907155+00:00</create_date>
        <update_date>2019-11-27T18:39:11.314006+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/ibama_expressions/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/ibama_expressions]]></repository>
        <tags><![CDATA[expressions,ibama]]></tags>
        <downloads>8065</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Processing Javascript Provider" version="1.0.5" plugin_id="1652">
        <description><![CDATA[A Processing provider for Javascript based feature manipulation]]></description>
        <about><![CDATA[Processing provider for Javascript]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/north-road/qgis-processing-js]]></homepage>
        <file_name>processing_js.1.0.5.zip</file_name>
        <icon>/media/packages/2019/icon_9ybNGN7.png</icon>
        <author_name><![CDATA[North Road]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_js/version/1.0.5/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2019-02-20T06:45:49.495783+00:00</create_date>
        <update_date>2019-03-01T06:09:14.101042+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/north-road/qgis-processing-js/issues]]></tracker>
        <repository><![CDATA[https://github.com/north-road/qgis-processing-js]]></repository>
        <tags><![CDATA[processing,javascript]]></tags>
        <downloads>6442</downloads>
        <average_vote>3.9986671109630123</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CatastroV3" version="1.4" plugin_id="1653">
        <description><![CDATA[Busqueda Catastral]]></description>
        <about><![CDATA[Busqueda catastral, por partida inmobiliaria o nomenclatura catastral de la Provincia de Buenos Aires.
A través de método en base de datos local (configurando parámetros de conexión a base de datos PostGis propia) o a servicios de mapas web de la Agencia de Recaudación de la Provincia de Buenos Aires (ARBA).
&lt;/br&gt;
Cadastral search, by real estate entry or cadastral nomenclature of the Province of Buenos Aires (Argentina).
Through method local database (setting parameters database connection PostGis own data) or web services maps Revenue Agency of the Province of Buenos Aires (ARBA).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/guardeivid/catastrov3]]></homepage>
        <file_name>CatastroV3.1.4.zip</file_name>
        <icon>/media/packages/2019/icon_8kuVvSq.png</icon>
        <author_name><![CDATA[David Orellano]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CatastroV3/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[guardeivid]]></uploaded_by>
        <create_date>2019-02-22T13:26:37.720207+00:00</create_date>
        <update_date>2019-03-29T21:57:21.369614+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/guardeivid/catastrov3/issues]]></tracker>
        <repository><![CDATA[https://github.com/guardeivid/catastrov3]]></repository>
        <tags><![CDATA[postgis,web,search,database,wfs,cadastre,webservice,catastral,busqueda,nomenclatura,partida inmobiliaria,arba]]></tags>
        <downloads>4727</downloads>
        <average_vote>4.4439506721475395</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ORS Tools" version="1.8.0" plugin_id="1659">
        <description><![CDATA[openrouteservice routing, isochrones and matrix calculations for QGIS]]></description>
        <about><![CDATA[ORS Tools provides access to most of the functions of openrouteservice.org, based on OpenStreetMap. The tool set includes routing, isochrones and matrix calculations, either interactive in the map canvas or from point files within the processing framework. Extensive attributes are set for output files, incl. duration, length and start/end locations.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.8</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GIScience/orstools-qgis-plugin/wiki/]]></homepage>
        <file_name>ORStools.1.8.0.zip</file_name>
        <icon>/media/packages/2025/icon_orstools_ETpBuWb.png</icon>
        <author_name><![CDATA[HeiGIT gGmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ORStools/version/1.8.0/download/</download_url>
        <uploaded_by><![CDATA[heigit]]></uploaded_by>
        <create_date>2019-02-27T15:57:17.820196+00:00</create_date>
        <update_date>2024-05-17T15:25:59.174602+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GIScience/orstools-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GIScience/orstools-qgis-plugin.git]]></repository>
        <tags><![CDATA[routing,openstreetmap,osm,processing,accessibility,route,openrouteservice,service area,isochrones,matrix,ors]]></tags>
        <downloads>377979</downloads>
        <average_vote>4.37023933468565</average_vote>
        <rating_votes>316</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGribDownloader" version="0.3" plugin_id="1663">
        <description><![CDATA[download gribs from opengribs.org]]></description>
        <about><![CDATA[A plugin to automatically download meteo GRIB files, thanks to http://opengribs.org/.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/faunalia/gribdownloader]]></homepage>
        <file_name>gribdownloader.0.3.zip</file_name>
        <icon>/media/packages/2021/icon_kYZy7Cc.png</icon>
        <author_name><![CDATA[enrico ferreguti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gribdownloader/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[pcav]]></uploaded_by>
        <create_date>2019-03-01T15:13:17.279567+00:00</create_date>
        <update_date>2019-03-07T19:00:47.138840+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/faunalia/gribdownloader/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/faunalia/gribdownloader/]]></repository>
        <tags><![CDATA[python,mesh,grib,meteo]]></tags>
        <downloads>10618</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Add a point road sign" version="0.2.2" plugin_id="1664">
        <description><![CDATA[Plugin that adds a point road sign to a traffic management design.]]></description>
        <about><![CDATA[Please read the manual to catch details (press [manual] button of the plugin or visit its repository).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/piotrm35/Add_a_point_road_sign]]></homepage>
        <file_name>Add_a_point_road_sign.0.2.2.zip</file_name>
        <icon>/media/packages/2020/Add_a_point_road_sign_ICON.png</icon>
        <author_name><![CDATA[Piotr Michałowski, Olsztyn, woj. W-M, Poland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Add_a_point_road_sign/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[piotrm35]]></uploaded_by>
        <create_date>2019-03-02T14:11:36.454390+00:00</create_date>
        <update_date>2019-03-09T14:00:52.693160+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/piotrm35/Add_a_point_road_sign/issues]]></tracker>
        <repository><![CDATA[https://github.com/piotrm35/Add_a_point_road_sign]]></repository>
        <tags><![CDATA[project,point,road,traffic,design,sign]]></tags>
        <downloads>43108</downloads>
        <average_vote>3.890838348393666</average_vote>
        <rating_votes>55</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Processing Saga NextGen Provider" version="0.0.6" plugin_id="1666">
        <description><![CDATA[A Processing provider for modern SAGA releases]]></description>
        <about><![CDATA[&lt;p&gt;Processing provider for SAGA 9.2 and above. Requires manual installation of SAGA binaries.&lt;/p&gt;
&lt;p&gt;Since QGIS 3.30 SAGA tools are no included in the standard QGIS installation. In order to use SAGA
tools in QGIS you need to install this plugin first, and then manually install SAGA 9.2.0 (or later).&lt;/p&gt;
&lt;p&gt;To install SAGA visit: &lt;a href=&quot;https://sourceforge.net/projects/saga-gis/files/&quot;&gt;https://sourceforge.net/projects/saga-gis/files/&lt;/a&gt;.
This plugin is tested on SAGA 9.2 only. It may work for more recent releases.&lt;/p&gt;
&lt;p&gt;After downloading SAGA, unzip the folder. Then in QGIS go to
Settings -&gt; Options -&gt; Processing -&gt; Providers -&gt; SAGANG and point the SAGA folder to your unzipped folder
containing the SAGA binaries.&lt;/p&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/north-road/qgis-processing-saga-nextgen]]></homepage>
        <file_name>processing_saga_nextgen.0.0.6.zip</file_name>
        <icon>/media/packages/2025/icon_kcwW7XE.png</icon>
        <author_name><![CDATA[North Road]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_saga_nextgen/version/0.0.6/download/</download_url>
        <uploaded_by><![CDATA[ndawson]]></uploaded_by>
        <create_date>2019-03-05T01:37:28.402179+00:00</create_date>
        <update_date>2021-03-24T00:18:43.087026+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/north-road/qgis-processing-saga-nextgen/issues]]></tracker>
        <repository><![CDATA[https://github.com/north-road/qgis-processing-saga-nextgen]]></repository>
        <tags><![CDATA[python,processing,saga]]></tags>
        <downloads>640031</downloads>
        <average_vote>4.149684954189886</average_vote>
        <rating_votes>648</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Toggle Group Visibility" version="0.1" plugin_id="1668">
        <description><![CDATA[Plugin for change the visibility of each item in a group by automatically or manually.]]></description>
        <about><![CDATA[This plugin change the visible item(group or layer) of a group(mutually exclusive),
that can be done manually or automatically, by buttons or shortcuts of keyboard.
With the plugin can copy a item from group to another group and set the current visible item in layer painel.
This plugin is developed on the demand of IBAMA(Brazilian Institute of Environment and Renewable Natural Resources)http://www.ibama.gov.br]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/togglegroupvisibility/wiki]]></homepage>
        <file_name>togglegroupvisibility.0.1.zip</file_name>
        <icon>/media/packages/2020/togglegroupvisibility_tEumZAM.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/togglegroupvisibility/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2019-03-06T21:00:26.074375+00:00</create_date>
        <update_date>2019-03-06T21:00:27.254478+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/togglegroupvisibility/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/togglegroupvisibility]]></repository>
        <tags><![CDATA[toggle,visibility,group,ibama]]></tags>
        <downloads>6593</downloads>
        <average_vote>3.999200159968006</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EnMAP-Box 3" version="3.17.0" plugin_id="1669">
        <description><![CDATA[Imaging Spectroscopy and Remote Sensing for QGIS]]></description>
        <about><![CDATA[The EnMAP-Box is a QGIS plug-in to visualize and process remote sensing data. It has been
particularly developed to handle data and products from imaging spectrometers, like EnMAP, PRISMA,
EMIT, DESIS, Tanager, and multispectral instruments like Landsat and Sentinel-2.

Publication:
Jakimow, Janz, Thiel, Okujeni, Hostert, van der Linden, 2023: EnMAP-Box: Imaging spectroscopy in QGIS.
SoftwareX 23, 101507, https://doi.org/https://doi.org/10.1016/j.softx.2023.101507

Links:
- Documentation: https://enmap-box.readthedocs.io
- Code: https://github.com/EnMAP-Box/enmap-box
- Environmental Mapping and Analysis Program (EnMAP): https://www.enmap.org
- License: GNU GPL-3 https://www.gnu.org/licenses/gpl-3.0

Acknowledgements:

The EnMAP-Box is developed at Humboldt-UniversitÃ¤t zu Berlin under contract by the GFZ Helmholtz Centre
for Geosciences and is part of the EnMAP Core Science Team activities.
It is funded by the German Aerospace Centre (DLR) - Project Management Agency,
granted by the Federal Ministry of Research, Technology and Space (https://www.bmbf.de, BMFTR; grant no. 50EE2401A).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://enmap-box.readthedocs.io/]]></homepage>
        <file_name>enmapboxplugin.3.17.0.zip</file_name>
        <icon>/media/packages/2026/icon_oznYW62.png</icon>
        <author_name><![CDATA[Andreas Janz, Benjamin Jakimow, Sebastian van der Linden, Fabian Thiel, Henrike Dierkes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/enmapboxplugin/version/3.17.0/download/</download_url>
        <uploaded_by><![CDATA[janzandr]]></uploaded_by>
        <create_date>2019-03-07T11:24:07.383848+00:00</create_date>
        <update_date>2025-11-09T22:19:45.899454+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EnMAP-Box/enmap-box/issues]]></tracker>
        <repository><![CDATA[https://github.com/EnMAP-Box/enmap-box.git]]></repository>
        <tags><![CDATA[raster,analysis,landsat,land cover,landscape,classification,remote sensing,regression,mask,multispectral,clustering,accuracy,clip,spectral signature,supervised classification,sentinel,spectral,machine learning,google earth engine,imaging spectroscopy,hyperspectral,enmap,desis,prisma,unmixing,emit]]></tags>
        <downloads>118099</downloads>
        <average_vote>4.701457451810061</average_vote>
        <rating_votes>134</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HERE Maps for QGIS" version="1.8.10" plugin_id="1670">
        <description><![CDATA[Connect QGIS to Interactive Map Layers in the HERE Platform (https://platform.here.com) and your personal spaces in HERE Data Hub.]]></description>
        <about><![CDATA[HERE Maps for QGIS is a QGIS plugin which can be used to visualize, edit and analyze data from Interactive Map Layer inside the HERE Platform (https://platform.here.com) and from HERE Data Hub spaces directly on a map.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/heremaps/xyz-qgis-plugin]]></homepage>
        <file_name>XYZHubConnector.1.8.10.zip</file_name>
        <icon>/media/packages/2025/xyz.png</icon>
        <author_name><![CDATA[HERE Europe B.V.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/XYZHubConnector/version/1.8.10/download/</download_url>
        <uploaded_by><![CDATA[johere]]></uploaded_by>
        <create_date>2019-03-07T18:04:15.969659+00:00</create_date>
        <update_date>2021-08-30T15:59:14.170537+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/heremaps/xyz-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/heremaps/xyz-qgis-plugin]]></repository>
        <tags><![CDATA[vector,layer,cloud,tile,connector,download,gis,qgis,basemap,here,api,upload,platform,xyz,storage,here platform,iml,data hub,interactive map layer]]></tags>
        <downloads>80015</downloads>
        <average_vote>4.209204437106114</average_vote>
        <rating_votes>43</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="raster inversor" version="0.1" plugin_id="1671">
        <description><![CDATA[The plugin inverts the values of a raster]]></description>
        <about><![CDATA[This plugin inverts the values of a raster. The highest value will be the lowest and viceversa. This version only supports .asc raster files.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/scf89/qgis-raster-inversor]]></homepage>
        <file_name>rasterinversor.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_ZYzKKmp.png</icon>
        <author_name><![CDATA[Sergio Carrera Fernández]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rasterinversor/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[scf89]]></uploaded_by>
        <create_date>2019-03-07T22:01:25.179623+00:00</create_date>
        <update_date>2019-03-07T22:01:26.049610+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/scf89/qgis-raster-inversor/issues]]></tracker>
        <repository><![CDATA[https://github.com/scf89/qgis-raster-inversor]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2357</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spatial Query With Values" version="1.0.2" plugin_id="1672">
        <description><![CDATA[Get maximum or minimum vector features for each polygon in an intersecting layer.]]></description>
        <about><![CDATA[Adds algorithms to the processing toolbox for querying vector layers based on spatial and attribute properties. Features are selected or extracted from an input layer for each feature in an intersecting polygon layer. Feature selection is based on the maximum or minimum values in a numeric attribute field.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/benwirf/qgis-SQV]]></homepage>
        <file_name>spatial_query_with_values.1.0.2.zip</file_name>
        <icon>/media/packages/2019/sqv_RC62Bjn.png</icon>
        <author_name><![CDATA[Ben Wirf]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/spatial_query_with_values/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[benwirf]]></uploaded_by>
        <create_date>2019-03-08T03:24:31.898697+00:00</create_date>
        <update_date>2019-03-19T07:05:00.068155+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/benwirf/qgis-SQV/issues]]></tracker>
        <repository><![CDATA[https://github.com/benwirf/qgis-SQV]]></repository>
        <tags><![CDATA[python,processing,vector analysis]]></tags>
        <downloads>11648</downloads>
        <average_vote>2.7140918505821015</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geocode Sqlite table" version="0.6" plugin_id="1673">
        <description><![CDATA[This plugin helps geocoding an Sqlite table using OSM Nominatim]]></description>
        <about><![CDATA[This plugin helps geocoding an sqlite table using OSM Nominatim]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://samanbey.github.io/geocode_sqlite]]></homepage>
        <file_name>geocode_sqlite.0.6.zip</file_name>
        <icon>/media/packages/2019/icon_usNJDQH.png</icon>
        <author_name><![CDATA[Mátyás Gede]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocode_sqlite/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[samanbey]]></uploaded_by>
        <create_date>2019-03-08T12:04:54.551808+00:00</create_date>
        <update_date>2019-03-12T12:54:18.077080+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/samanbey/geocode_sqlite/issues]]></tracker>
        <repository><![CDATA[https://github.com/samanbey/geocode_sqlite]]></repository>
        <tags><![CDATA[python,geocoding,sqlite]]></tags>
        <downloads>4702</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RasterTimeseriesManager" version="1.1" plugin_id="1675">
        <description><![CDATA[Explore and visualizing spatio-spectral-temporal Earth Observation imagery data.]]></description>
        <about><![CDATA[The Raster Timeseries Manager plugin adds a dock panel with time controls that allow to smoothly navigate through earth observation imagery data like Landsat, Sentinel and Modis and derived products in the temporal domain. Layer styling and spatial navigation is handled by QGIS as usual. See the project homepage for a detailed overview and usage instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://raster-timeseries-manager.readthedocs.io]]></homepage>
        <file_name>rastertimeseriesmanager.1.1.zip</file_name>
        <icon>/media/packages/2021/icon_B4D5K4V.png</icon>
        <author_name><![CDATA[Andreas Rabe (Geomatics Lab, Humboldt-Universität zu Berlin, Germany)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rastertimeseriesmanager/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[janzandr]]></uploaded_by>
        <create_date>2019-03-12T15:47:37.658576+00:00</create_date>
        <update_date>2019-03-12T15:47:38.973705+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/janzandr/rastertimeseriesmanager/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/janzandr/rastertimeseriesmanager]]></repository>
        <tags><![CDATA[raster,time,animation,video,spectral,imagery,temporal,earth observation,spatio]]></tags>
        <downloads>32784</downloads>
        <average_vote>4.399706686220918</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Route Sqlite" version="0.5" plugin_id="1676">
        <description><![CDATA[This plugin creates route geometries to sqlite table containing from/to points using ORS]]></description>
        <about><![CDATA[This plugin creates route geometries to sqlite table containing from/to points using ORS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://samanbey.github.io/route_sqlite]]></homepage>
        <file_name>route_sqlite.0.5.zip</file_name>
        <icon>/media/packages/2019/icon_94zfV36.png</icon>
        <author_name><![CDATA[Mátyás Gede]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/route_sqlite/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[samanbey]]></uploaded_by>
        <create_date>2019-03-20T13:59:43.610896+00:00</create_date>
        <update_date>2019-03-20T13:59:44.662875+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/samanbey/route_sqlite/issues]]></tracker>
        <repository><![CDATA[https://github.com/samanbey/route_sqlite]]></repository>
        <tags><![CDATA[python,sqlite,routing]]></tags>
        <downloads>3287</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GroupPointsWithinDistance" version="0.0.2" plugin_id="1681">
        <description><![CDATA[This plugin is experimental and is far less fast and efficient than the actual DBSCAN clustering algo from actual QGIS Toolbox !

This plugin can regroup all points linked one to another because they are within a given distance from one another, it gives them a commun aggregate id attribute.This plugin picks a point, the first of the aggregate, and seeks, in the distance of research chosen by the user, another one. If this second point is found, is added to the aggregate and the loop starts again untill no more points are added.The plugin loops untill all points are treated. This plugin also produces a line layer and a polygon layer to overlap the points and visualize the aggregates.

]]></description>
        <about><![CDATA[This plugin was meant to group very nearby faunistic fields observations from different date and observers in order to produce &quot;sites&quot;  of presence.

It was produced before discovering DBSCAN clustering from actual QGIS Toolbox which is better in many way.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tomflyjc/GroupPointsWithinDistance]]></homepage>
        <file_name>GroupPointsWithinDistance.0.0.2.zip</file_name>
        <icon>/media/packages/2019/GroupPointsWithinDistance1_aGHpL6D.png</icon>
        <author_name><![CDATA[Jean-Christophe BAUDIN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GroupPointsWithinDistance/version/0.0.2/download/</download_url>
        <uploaded_by><![CDATA[tomfly]]></uploaded_by>
        <create_date>2019-03-24T14:34:50.782832+00:00</create_date>
        <update_date>2019-03-26T10:25:03.528584+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tomflyjc/GroupPointsWithinDistance/issues]]></tracker>
        <repository><![CDATA[https://github.com/tomflyjc/GroupPointsWithinDistance]]></repository>
        <tags><![CDATA[python,points,tools,group,qgis,aggregate]]></tags>
        <downloads>3958</downloads>
        <average_vote>4.24946881639795</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Qgs Mapfile" version="0.1.3" plugin_id="1683">
        <description><![CDATA[This plugin helps import a Mapserver Mapfile in a Qgis Project]]></description>
        <about><![CDATA[This plugin helps import a Mapserver Mapfile (.map, .lay) in a Qgis Project 3.x.
You can import the definition of a layer (MAP ... LAYER ... END ... END or LAYER ... END) or the definition of multiple layers (MAP ... LAYER ... END ... END).
If import one layer (LAYER ... END) (the layers are declared with INCLUDE), then specify the main mapfile to obtain the paths (SHAPEPATH, FONTSET, SYMBOLSET) only once, then they are obtained from the cache.
Qgis and Mapserver are not completely compatible, but even so, we have tried to find the highest degree of common attributes allowing a similarity in the views in the different environments.
Mapfiles are expected to be UTF-8 encoded.
It is compatible with Mapserver Mapfiles versions &gt;= 6.
It allows to add vector layers of different geometric types (Points, Lines and Polygons) and raster layers (not styled).
&lt;b&gt;Requeriments&lt;/b&gt;
pip install mappyfile
pip install matplotlib
&lt;b&gt;Licence&lt;/b&gt;
GNU General Public License version 2 or above]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/guardeivid/qgsmapfile]]></homepage>
        <file_name>QgsMapfile.0.1.3.zip</file_name>
        <icon>/media/packages/2019/icon_sGCr4n4.png</icon>
        <author_name><![CDATA[David Orellano]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QgsMapfile/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[guardeivid]]></uploaded_by>
        <create_date>2019-03-28T22:21:59.458770+00:00</create_date>
        <update_date>2019-04-01T01:31:07.219176+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/guardeivid/qgsmapfile/issues]]></tracker>
        <repository><![CDATA[https://github.com/guardeivid/qgsmapfile]]></repository>
        <tags><![CDATA[python,mapserver,mapfile,import,converter,layers,qgis,importer,webserver]]></tags>
        <downloads>7763</downloads>
        <average_vote>4.466368908739417</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TravelTime Plugin" version="1.10.0-rc.3" plugin_id="1685">
        <description><![CDATA[Get travel time polygons from the TravelTime API directly from QGIS]]></description>
        <about><![CDATA[This plugin adds a toolbar and processing algorithms allowing to query the TravelTime platform API directly from QGIS. The TravelTime platform API allows to obtain polygons based on actual travel time using several transport modes rather, allowing for much more accurate results than simple distance calculations.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.traveltime.com/qgis/]]></homepage>
        <file_name>travel_time_platform_plugin.1.10.0-rc.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Olivier Dalang]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/travel_time_platform_plugin/version/1.10.0-rc.3/download/</download_url>
        <uploaded_by><![CDATA[redl]]></uploaded_by>
        <create_date>2019-04-01T10:03:57.269724+00:00</create_date>
        <update_date>2025-10-28T22:31:53.755863+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/traveltime-dev/traveltime-platform-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/traveltime-dev/traveltime-platform-qgis-plugin]]></repository>
        <tags><![CDATA[geocoding,time,distance,network analysis,routing,polygon,geocode,polygons,isochrone,api,shortest path,geocoder,isochrones,matrix,platform,travel]]></tags>
        <downloads>100289</downloads>
        <average_vote>4.113589618299792</average_vote>
        <rating_votes>88</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RasterizeString" version="0.1" plugin_id="1687">
        <description><![CDATA[This plugin extends gdal rasterize command to burn values from non-numeric field.]]></description>
        <about><![CDATA[Conversion from vector to raster. This algorithm is a wrapper of gdal rasterize that allows to specify a non-numeric field.  Output raster values are automatically generated according to input field values. A temporary integer field is created and a new integer value is associated to each input unique value (from 1 to N with N = number of unique values). Such association is loaded is CSV file &#x27;Association.csv&#x27;. Output data type is chosen according to data range (unsigned integer type of minimal range, e.g. Byte, UInt16 or UInt32).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MathieuChailloux/rasterizestring]]></homepage>
        <file_name>rasterizestring.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Mathieu Chailloux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rasterizestring/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mc]]></uploaded_by>
        <create_date>2019-04-03T12:57:40.122625+00:00</create_date>
        <update_date>2019-04-03T12:57:41.232261+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MathieuChailloux/rasterizestring/issues]]></tracker>
        <repository><![CDATA[https://github.com/MathieuChailloux/rasterizestring]]></repository>
        <tags><![CDATA[vector,python,raster,conversion,string,rasterize]]></tags>
        <downloads>5829</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FUSION for Processing" version="0.1.0" plugin_id="1696">
        <description><![CDATA[Suite of tools for LiDAR analysis and visualisation]]></description>
        <about><![CDATA[FUSION provides extensive processing capabilities including bare-earth point filtering, surface fitting, data conversion, and quality assessment for large LIDAR acquisitions. You need to download and install the FUSION software available from: http://forsys.sefs.uw.edu/FUSION/fusionlatest.html. After installing the plugin and FUSION, activate and configure FUSION for processing in the Options-window in the Processing Toolbox. This plugin is only availabe for Windows users.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/biglimp/qgis-fusion]]></homepage>
        <file_name>processing_fusion.0.1.0.zip</file_name>
        <icon>/media/packages/2026/fusion.svg</icon>
        <author_name><![CDATA[Alexander Bruy, Victor Olaya, Niccolo Marchi, Fredrik Lindberg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_fusion/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[biglimp]]></uploaded_by>
        <create_date>2019-04-12T07:43:47.883777+00:00</create_date>
        <update_date>2019-04-12T07:43:49.579200+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/biglimp/qgis-fusion/issues]]></tracker>
        <repository><![CDATA[https://github.com/biglimp/qgis-fusion]]></repository>
        <tags><![CDATA[analysis,points,dem,dtm,processing,lidar,dsm,laz,las,pointcloud,forrest]]></tags>
        <downloads>51805</downloads>
        <average_vote>3.422146174529455</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DB Werkzeug" version="0.1" plugin_id="1701">
        <description><![CDATA[Direct integration of PostgreSQL databases]]></description>
        <about><![CDATA[This plugin allows to create a new database directly in QGIS or to connect to an existing PostgreSQL database. You can also run SQL and PostGIS queries, SELECT, CREATE TABLE, UPDATE, DELETE, INSERT INTO, and so on. In the background, the plugin adds the connection parameters to a json list. This allows easy access to the database without entering the connection parameters. So that afterwards contents of the data base in QGIS can be loaded. Changes made to the datasets loaded in QGIS are also stored directly in the corresponding database.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MarianBaciu/plugin]]></homepage>
        <file_name>DB_Werkzeug.0.1.zip</file_name>
        <icon>/media/packages/2019/dbicon.png</icon>
        <author_name><![CDATA[Marlen Mährlein, Marian Baciu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DB_Werkzeug/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[marianb]]></uploaded_by>
        <create_date>2019-04-16T19:34:02.195548+00:00</create_date>
        <update_date>2019-04-16T19:34:03.361997+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MarianBaciu/plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MarianBaciu/plugin]]></repository>
        <tags><![CDATA[postgis,database,postgresql]]></tags>
        <downloads>2946</downloads>
        <average_vote>4.332851905343851</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sen2Cor Adapter" version="1.0" plugin_id="1702">
        <description><![CDATA[Provides graphical integration of the Sen2Cor tool in QGIS.]]></description>
        <about><![CDATA[Sen2Cor Adapter is a plugin that enables users to use graphically in QGIS the SEN2COR tool created by the European Space Agency, which performs atmospheric, terrain and cirrus correction of Sentinel-2 TOA Level 1C products. This plugin does not contain the Sen2Cor tool, you have to download and install it in order to use this plugin (link available in plugin GUI). Available for Windows and Linux (MacOS not tested).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MathisRD/sen2cor_adapter]]></homepage>
        <file_name>sen2cor_adapter.1.0.zip</file_name>
        <icon>/media/packages/2019/icon_CxMD8Fh.png</icon>
        <author_name><![CDATA[Mathis RACINNE-DIVET]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sen2cor_adapter/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mathisrd]]></uploaded_by>
        <create_date>2019-04-18T13:06:54.903652+00:00</create_date>
        <update_date>2019-04-18T13:06:56.177282+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MathisRD/sen2cor_adapter/issues]]></tracker>
        <repository><![CDATA[https://github.com/MathisRD/sen2cor_adapter]]></repository>
        <tags><![CDATA[python,raster,processing,sentinel-2]]></tags>
        <downloads>3294</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EDE Interpolation" version="0.3" plugin_id="1704">
        <description><![CDATA[Evidence Density Estimation (EDE) interpolation of archaeological settlement data.]]></description>
        <about><![CDATA[Evidence Density Estimation (EDE) interpolation of archaeological settlement data. Produces spatio-temporal distribution maps or summed distributions representing intensity of settlement activities within the examined area in different time periods. Uses radiocarbon-dated as well as typo-chronologically dated evidence as input. For a detailed description see: Demján, P., &amp; Dreslerová, D. (2016). Modelling distribution of archaeological settlement evidence based on heterogeneous spatial and temporal data. Journal of Archaeological Science, 69, 100–109. https://doi.org/10.1016/j.jas.2016.04.003]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/demjanp/ede_interpolation]]></homepage>
        <file_name>ede_interpolation.0.3.zip</file_name>
        <icon>/media/packages/2020/icon_IJqYADV.png</icon>
        <author_name><![CDATA[Peter Demján]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ede_interpolation/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[demjan]]></uploaded_by>
        <create_date>2019-04-22T00:24:46.484125+00:00</create_date>
        <update_date>2020-06-05T14:11:03.175806+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/demjanp/ede_interpolation/issues]]></tracker>
        <repository><![CDATA[https://github.com/demjanp/ede_interpolation]]></repository>
        <tags><![CDATA[landscape,archaeology,mathematical modeling,settlement dynamics,spatio-temporal statistics,settlement area theory,radiocarbon data]]></tags>
        <downloads>12554</downloads>
        <average_vote>4.24946881639795</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SSAM" version="1.99.10" plugin_id="1714">
        <description><![CDATA[Spatial Sustainability Assessment Model (SSAM)]]></description>
        <about><![CDATA[SSAM is a QGIS plugin for sustainability assessment in geographic environment. The outputs of SSAM are both geographic and graphic. More data and documents are available on http://maplab.alwaysdata.net/SSAM.html]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://maplab.alwaysdata.net/SSAM.html]]></homepage>
        <file_name>SSAM.1.99.10.zip</file_name>
        <icon>/media/packages/2026/icon_qrdFvdY.png</icon>
        <author_name><![CDATA[ARPA Umbria - University of Perugia (Developer: Gianluca Massei)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SSAM/version/1.99.10/download/</download_url>
        <uploaded_by><![CDATA[gianluca]]></uploaded_by>
        <create_date>2019-05-07T21:07:06.088011+00:00</create_date>
        <update_date>2024-09-06T21:49:52.374982+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gmassei/SSAM/issues]]></tracker>
        <repository><![CDATA[https://github.com/gmassei/SSAM]]></repository>
        <tags><![CDATA[vector,sustainability,geographic mcda]]></tags>
        <downloads>12640</downloads>
        <average_vote>3.5551605377180318</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Minimum Spanning Tree" version="2.1" plugin_id="1725">
        <description><![CDATA[This plugin creates minimum spanning trees in multiple ways.]]></description>
        <about><![CDATA[This plugin identifies the Minimum Spanning Tree (MST) of geographical inputs. Three different ways to determine costs of edges are considered, which constitute the tabs of the plugin: 1) Vector: Provided by the given input linestring. 2) Automatic: Obtained automatically based on the input shapefile. Delaunay Triangulation is used to obtain the edges, and Euclidean distance is used to determine the costs. 3) Raster: Both raster and vector data are used to estimate the costs of edges. In all of the cost estimation methods, there is an optional barrier (obstacle) input, which makes sure that no edge in MST intersects with a barrier provided as a linestring.  To obtain reliable results, all of the inputs must be in the same coordinate system.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/banbar/Minimum_Spanning_Tree_QGIS]]></homepage>
        <file_name>minimum_spanning_tree.2.1.zip</file_name>
        <icon>/media/packages/2020/icon_u75X6mu.png</icon>
        <author_name><![CDATA[Murat Çalışkan, Berk Anbaroğlu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/minimum_spanning_tree/version/2.1/download/</download_url>
        <uploaded_by><![CDATA[banbar]]></uploaded_by>
        <create_date>2019-05-24T15:00:38.946810+00:00</create_date>
        <update_date>2020-10-26T16:16:45.621070+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/banbar/Minimum_Spanning_Tree_QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/banbar/Minimum_Spanning_Tree_QGIS]]></repository>
        <tags><![CDATA[vector,raster,distance,analysis,network,polygon,graph]]></tags>
        <downloads>6021</downloads>
        <average_vote>4.499859379394394</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="A-Maps" version="0.2" plugin_id="1726">
        <description><![CDATA[Connector for the Azure Maps REST API]]></description>
        <about><![CDATA[This plugin provides you some processing tools to integrate the Azure Maps API in your QGIS workflows.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/riccardoklinger/amaps]]></homepage>
        <file_name>amaps.0.2.zip</file_name>
        <icon>/media/packages/2019/icon_GgApAYr.png</icon>
        <author_name><![CDATA[Riccardo Klinger]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/amaps/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[riccardoklinger]]></uploaded_by>
        <create_date>2019-05-25T13:06:51.184187+00:00</create_date>
        <update_date>2019-05-30T19:27:48.790339+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/riccardoklinger/amaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/riccardoklinger/amaps]]></repository>
        <tags><![CDATA[python,geocoding,bing,processing,api,azure]]></tags>
        <downloads>20226</downloads>
        <average_vote>3.642727045462662</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Coordinator" version="0.1" plugin_id="1729">
        <description><![CDATA[Capture, transform and use coordinates]]></description>
        <about><![CDATA[The purpose of this plugin is to make handling of coordinate IO easier and includes a transformation tool and supports creation of simple features.
This plugin overlaps in different ways with the purpose of the plugins Coordinate Capture, Lat Lon Tools and the Advanced Digitize Panel. It however aims to integrate in a clean and simple interface multiple tasks these tools are sometimes used together. And yes...: Its almost as it&#x27;s just another coordinate tool. :)
The two main functions of this plugin are:
(A) a simple and easy to use coordinate transformation tool with an integrated picker and
(B) a quick to use coordinate digitizer with support for coordinates in an arbitrary CRS independent of project or layer CRS.
Both of these functions are seamlessly integrated and are implemented as a single, unique operation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/iona5/coordinator]]></homepage>
        <file_name>coordinator.0.1.zip</file_name>
        <icon>/media/packages/2019/marker.png</icon>
        <author_name><![CDATA[Jonas Küpper]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coordinator/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[iona5]]></uploaded_by>
        <create_date>2019-05-29T20:36:22.675313+00:00</create_date>
        <update_date>2019-05-29T20:36:23.149113+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/iona5/coordinator/issues]]></tracker>
        <repository><![CDATA[https://github.com/iona5/coordinator]]></repository>
        <tags><![CDATA[python,transformation,capture,digitizing,coordinate,coordinates,clipboard]]></tags>
        <downloads>69994</downloads>
        <average_vote>4.666407421809899</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CHM from LIDAR" version="0.10" plugin_id="1730">
        <description><![CDATA[This plugin creates the Canopy Height Model (CHM) from LIDAR data (DTM and DSM First Pulse).]]></description>
        <about><![CDATA[The CHM from LIDAR plugin creates a Canopy Height Model (CHM) starting from LIDAR data (DTM and DSM First Pulse). In particular, it uses the Digital Terrain Model (DTM) and the Digital Surface Model (DSM) processed also from different surveys to compute the CHM. The CHM computation can be done using all the input data provided by the user or for a specific area of interest defined by the user. The final output can be saved defining the desired file format, coordinate reference system and resolution in a folder specified by the user. The file tile_dsm_dtm.gpkg contains by default data of Regione Veneto (Italy) which has founded this work. Each user can create its own tile_dsm_dtm.gpkg with the data deriving from its LIDAR flight campaign using the Lidar Tile Maker Plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gtergeomatica/chm_from_lidar]]></homepage>
        <file_name>chm_from_lidar-master.0.10.zip</file_name>
        <icon>/media/packages/2021/icon_WsgmLfT.png</icon>
        <author_name><![CDATA[Roberta Fagandini - Roberto Marzocchi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/chm_from_lidar-master/version/0.10/download/</download_url>
        <uploaded_by><![CDATA[robifag]]></uploaded_by>
        <create_date>2019-06-06T13:42:59.912448+00:00</create_date>
        <update_date>2021-03-03T11:35:46.353627+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gtergeomatica/chm_from_lidar/issues]]></tracker>
        <repository><![CDATA[https://github.com/gtergeomatica/chm_from_lidar]]></repository>
        <tags><![CDATA[dtm,lidar,forestry,chm,dsm]]></tags>
        <downloads>9318</downloads>
        <average_vote>3.7406021999185213</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Grid2Tif" version="0.1" plugin_id="1733">
        <description><![CDATA[Grid export to tif+mapinfo]]></description>
        <about><![CDATA[Save image selected feature grid to tiff. This plugin allows you to save the contents of the map for selected grid objects in the tif + mapinfo file. You can use it to create attached images in raster format.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/iext/qgisPluginGrid2Tif]]></homepage>
        <file_name>export_tif.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_vnPLtas.png</icon>
        <author_name><![CDATA[Milickij Alex]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/export_tif/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[alexmil]]></uploaded_by>
        <create_date>2019-06-18T09:42:51.287596+00:00</create_date>
        <update_date>2019-06-18T09:42:52.447020+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/iext/qgisPluginGrid2Tif/issues]]></tracker>
        <repository><![CDATA[https://github.com/iext/qgisPluginGrid2Tif.git]]></repository>
        <tags><![CDATA[vector,topography,grid,tiff,tif]]></tags>
        <downloads>3654</downloads>
        <average_vote>4.777246972558605</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Label Connector" version="1.0" plugin_id="1738">
        <description><![CDATA[This plugin creates label connector (line from centroid to the label)]]></description>
        <about><![CDATA[This plugin creates manually moved label connector (line from centroid to the label). Funded by French Ministry of Ecology]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/oslandia/labelconnector]]></homepage>
        <file_name>label_connector.1.0.zip</file_name>
        <icon>/media/packages/2019/labelStyles.png</icon>
        <author_name><![CDATA[Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/label_connector/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[rhaubourg]]></uploaded_by>
        <create_date>2019-06-20T20:59:11.297408+00:00</create_date>
        <update_date>2019-08-22T12:51:54.667495+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/oslandia/labelconnector]]></tracker>
        <repository><![CDATA[https://github.com/oslandia/labelconnector]]></repository>
        <tags><![CDATA[attribute,style,line,labeling,field,geometry,connectors,callouts]]></tags>
        <downloads>8752</downloads>
        <average_vote>3.714020427112349</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WinCan VX Integration" version="0.9" plugin_id="1740">
        <description><![CDATA[Download data from WinCan VX]]></description>
        <about><![CDATA[Integrate inspection data between WinCan VX and QGIS. Create WinCan layers, edit shapefiles and transfer data between QGIS layers and WinCan product.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.wincan.com/en/home/]]></homepage>
        <file_name>vx_integration.0.9.zip</file_name>
        <icon>/media/packages/2022/icon_DGQwJUl.png</icon>
        <author_name><![CDATA[WinCan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vx_integration/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[wincan]]></uploaded_by>
        <create_date>2019-06-21T10:20:45.693165+00:00</create_date>
        <update_date>2019-06-21T10:20:45.988305+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WinCan/QGISPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/WinCan/QGISPlugin]]></repository>
        <tags><![CDATA[map,wincan,vx]]></tags>
        <downloads>4746</downloads>
        <average_vote>3.9997143061209917</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ThemeSelector" version="3.0" plugin_id="1759">
        <description><![CDATA[This plugin brings the layer theme settings directly to the desktop]]></description>
        <about><![CDATA[Take saved themes and apply them with a selection by dropdown.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mach0/themeselector]]></homepage>
        <file_name>themeselector.3.0.zip</file_name>
        <icon>/media/packages/2025/selector.png</icon>
        <author_name><![CDATA[Werner Macho für Wagner-IT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/themeselector/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[macho]]></uploaded_by>
        <create_date>2019-07-08T14:36:18.103344+00:00</create_date>
        <update_date>2019-07-08T14:36:22.451481+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mach0/themeselector/issues]]></tracker>
        <repository><![CDATA[https://github.com/mach0/themeselector]]></repository>
        <tags><![CDATA[layer,select,settings,theme,preset,options]]></tags>
        <downloads>12383</downloads>
        <average_vote>4.655011896141512</average_vote>
        <rating_votes>29</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lidar Tile Maker" version="0.2" plugin_id="1763">
        <description><![CDATA[The plugin creates a vector file containing the polygons of the tiles of a lidar campaign starting from the raster data (DSM and DTM).]]></description>
        <about><![CDATA[The plugin creates a vector file containing the polygons of the tiles of a lidar flight campaign starting from the raster data (DSM and DTM). The resulting GeoPackage is organized so that it can be used as input of the chm_from_lidar plugin. The attribute table, for instance, contains all the fields necessary for using the chm_from_lidar plugin. Moreover, the attribute table is automatically filled with the required values taken from the input parameters provided by the user. The Lidar Tile Maker plugin works for a single campaign. In the case of multiple campaigns, the plugin has to be run for each of them. The resulting GeoPackages have to be merged and then the resulting file can be used as input for the chm_from_lidar plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gtergeomatica/lidar_tile_maker]]></homepage>
        <file_name>lidar_tile_maker.0.2.zip</file_name>
        <icon>/media/packages/2019/icon_DIJ6cE1.png</icon>
        <author_name><![CDATA[Roberta Fagandini - Roberto Marzocchi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lidar_tile_maker/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[robertomarzocchi]]></uploaded_by>
        <create_date>2019-07-12T07:20:59.953612+00:00</create_date>
        <update_date>2019-07-16T05:45:17.394120+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gtergeomatica/lidar_tile_maker/issues]]></tracker>
        <repository><![CDATA[https://github.com/gtergeomatica/lidar_tile_maker]]></repository>
        <tags><![CDATA[dtm,tile,lidar,chm,dsm,chm_from_lidar]]></tags>
        <downloads>3393</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Water Network Tools" version="0.3.3" plugin_id="1765">
        <description><![CDATA[Water Network Modelling Utilities]]></description>
        <about><![CDATA[&lt;p&gt;A set of processes for modeling water networks. Starting from scratch or expanding an existing network, it is possible to import and export models, scenarios and other files for network analysis and optimization.&lt;/p&gt;&lt;p&gt;Get Started: &lt;a href=&quot;https://www.youtube.com/playlist?list=PLzE4DxrnNT-Fg0Ztku6jbIG8QEEOHqYEH&quot;&gt;Youtube tutorial&lt;/a&gt;. Autor: Andrés García Martínez &lt;a href=&quot;https://bit.ly/2m8otrB&quot;&gt;LinkedIn&lt;/a&gt;&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/andresgciamtez/wnt]]></homepage>
        <file_name>wnt.0.3.3.zip</file_name>
        <icon>/media/packages/2023/icon_Qfs8Iie.png</icon>
        <author_name><![CDATA[Andrés García Martínez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wnt/version/0.3.3/download/</download_url>
        <uploaded_by><![CDATA[ppno]]></uploaded_by>
        <create_date>2019-07-20T19:08:06.221308+00:00</create_date>
        <update_date>2019-11-13T08:45:04.548506+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/andresgciamtez/wnt/issues]]></tracker>
        <repository><![CDATA[https://github.com/andresgciamtez/wnt]]></repository>
        <tags><![CDATA[water,epanet,hydraulics,wds modelling,water network analysis]]></tags>
        <downloads>35197</downloads>
        <average_vote>4.264580453516073</average_vote>
        <rating_votes>34</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geoscan Forest" version="0.1" plugin_id="1767">
        <description><![CDATA[Forest Analysis ]]></description>
        <about><![CDATA[Plugin allows to search for tree tops and perform  tree crowns  segmentation on orthomosaic.
The approximate spatial resolution of input orthomosaic should be about 5 centimeters per pixel.

IMPORTANT:
To install plugin with all dependencies you need to launch QGIS with Admin privileges.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geoscan.aero/en]]></homepage>
        <file_name>geoscan_forest-master.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_0NPAACL.png</icon>
        <author_name><![CDATA[Geoscan group, Aleksandr Zakora]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoscan_forest-master/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[geoscan]]></uploaded_by>
        <create_date>2019-07-24T13:57:59.013469+00:00</create_date>
        <update_date>2019-07-24T13:57:59.422356+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoscan/geoscan_forest/issues]]></tracker>
        <repository><![CDATA[https://github.com/geoscan/geoscan_forest]]></repository>
        <tags><![CDATA[uav,forest,segmentation,canopy,orthophoto]]></tags>
        <downloads>5753</downloads>
        <average_vote>4.155100774124584</average_vote>
        <rating_votes>58</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cell File Generator" version="0.3" plugin_id="1778">
        <description><![CDATA[Generates the cell input files for inSALMO]]></description>
        <about><![CDATA[This plugin uses user supplied raster files and a spatial grid to generate inSALMO cell files.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pndphd/cell_file_maker]]></homepage>
        <file_name>cell_file_maker.0.3.zip</file_name>
        <icon>/media/packages/2019/icon_hROIGrz.png</icon>
        <author_name><![CDATA[Peter N. Dudley]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cell_file_maker/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[pndphd]]></uploaded_by>
        <create_date>2019-08-06T19:57:13.675769+00:00</create_date>
        <update_date>2019-08-19T19:54:06.377474+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pndphd/cell_file_maker/issues]]></tracker>
        <repository><![CDATA[https://github.com/pndphd/cell_file_maker]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1484</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geometry Generator" version="0.3" plugin_id="1779">
        <description><![CDATA[Makes the geometry file for inSALMO]]></description>
        <about><![CDATA[Makes the geometry input files for inSALMO]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pndphd/geometry_generator]]></homepage>
        <file_name>geometry_generator.0.3.zip</file_name>
        <icon>/media/packages/2019/icon_sgRlNoo.png</icon>
        <author_name><![CDATA[Peter N. Dudley]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geometry_generator/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[pndphd]]></uploaded_by>
        <create_date>2019-08-06T19:57:32.049458+00:00</create_date>
        <update_date>2019-08-19T19:55:05.080659+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pndphd/geometry_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/pndphd/geometry_generator]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3420</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Hydro Generator" version="0.3" plugin_id="1780">
        <description><![CDATA[Makes the hydrology file for inSALMO]]></description>
        <about><![CDATA[Makes the hydrology file for inSALMO]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pndphd/hydro_generator]]></homepage>
        <file_name>hydro_generator.0.3.zip</file_name>
        <icon>/media/packages/2019/icon_E5blcNm.png</icon>
        <author_name><![CDATA[Peter N. Dudley]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hydro_generator/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[pndphd]]></uploaded_by>
        <create_date>2019-08-06T19:57:45.699849+00:00</create_date>
        <update_date>2019-08-19T19:55:36.977269+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pndphd/hydro_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/pndphd/hydro_generator]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2725</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Three-D Change Detection" version="0.1" plugin_id="1786">
        <description><![CDATA[Tool for change detection between temporally different DEMs (rasters) of the same location]]></description>
        <about><![CDATA[This plugin focuses on helping simplify and automate the change detection between temporally different DEMs (rasters) of the same location. While any raster can be used, its development is focused on the use of detailed digital surface models (DSM) collected with unmanned aircraft, the associated type of errors, and 3D visualization.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MonsterCrew/Three_D_Change_Detection/wiki]]></homepage>
        <file_name>Three_D_Change_Detection-master.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_znIN5EP.png</icon>
        <author_name><![CDATA[Jordan Bates, Muhammad Hasan Mustafa, Tanmoy Chakraborty]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Three_D_Change_Detection-master/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jsbates]]></uploaded_by>
        <create_date>2019-08-16T15:57:15.502832+00:00</create_date>
        <update_date>2019-08-16T15:57:16.438476+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MonsterCrew/Three_D_Change_Detection/issues]]></tracker>
        <repository><![CDATA[https://github.com/MonsterCrew/Three_D_Change_Detection]]></repository>
        <tags><![CDATA[python,dem,change detection,temporal analysis]]></tags>
        <downloads>2431</downloads>
        <average_vote>4.449777511124443</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WaterNetAnalyzer" version="2.2.1" plugin_id="1792">
        <description><![CDATA[Generate water network, get flow path upstream/downstream]]></description>
        <about><![CDATA[This plugin creates a network with one outlet from a line layer (shapefile). A warning is generated when circles are found in the network. You can use the tools to show the flow path upstream or downstream of a segment in the network and accumulate flow/loads along the flow path. An instructional video can be found here: https://www.youtube.com/watch?v=3GBr57evQPI  (thanks to  Hans van der Kwast). First versions of this plugin have been developed within the project PROSPER-RO, funded by BMBF, grant number 033L212. New features and bugfixes (since version 1.9) have been added within the project OSWeGe, funded by BMUV, grant number 67DAS263]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Jannik-Schilling/WaterNetAnalyzer]]></homepage>
        <file_name>WaterNetAnalyzer-master.2.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_cj6sxPI.png</icon>
        <author_name><![CDATA[Jannik Schilling]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/WaterNetAnalyzer-master/version/2.2.1/download/</download_url>
        <uploaded_by><![CDATA[jannikschilling]]></uploaded_by>
        <create_date>2019-08-20T13:54:20.519633+00:00</create_date>
        <update_date>2026-04-06T11:59:50.422861+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Jannik-Schilling/WaterNetAnalyzer/issues]]></tracker>
        <repository><![CDATA[https://github.com/Jannik-Schilling/WaterNetAnalyzer]]></repository>
        <tags><![CDATA[load,flow,network,water,catchment,river,net]]></tags>
        <downloads>41812</downloads>
        <average_vote>4.725397541224682</average_vote>
        <rating_votes>51</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Threshold Vectorization" version="0.1" plugin_id="1799">
        <description><![CDATA[Processing plugin-based provider that adds a model to polygonize a raster from a lower and an upper threshold. Provedor do Processing que inclui um modelo para vetorização de um raster a partir de um limiar inferior e um superior.]]></description>
        <about><![CDATA[The model added is named TV Vectorization Threshold. For this model to work, the plugin adds this and other models to a group called ThresholdVect, and scripts to a group with the same name.
There are a number of parameters that can be set to optimize the polygonization. These parameters are described in the help of the model.
Also, a model is added to calculate the NDWI, a possible input to the plugin model that can be used to extract water bodies.
To extract water bodies using NDWI, perform the following 2 steps:
1- Extract NDWI using the TV Raster NDWI or TV Multiband NDWI model, depending on whether the bands are in different rasters or in a single raster.
2- Execute the TV Vectorization Threshold model.
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------
O modelo adicionado é denominado TV Vectorization Threshold. Para que esse modelo funcione, o plugin adiciona este e outros modelos a um grupo chamado ThresholdVect, e scripts a um grupo com o mesmo nome.
Há vários parâmetros que podem ser configurados para otimizar a vetorização. Esses parâmetros são descritos na ajuda do modelo.
Além disso, um modelo é adicionado para calcular o NDWI, uma possível entrada para o modelo do plugin que pode ser usada para extrair massas d&#x27;água.
Para extrair corpos de água usando o NDWI, execute os 2 passos seguintes:
1- Extraia o NDWI usando o modelo TV Raster NDWI ou TV Multiband NDWI, dependendo se as bandas estão em diferentes rasters ou em um único raster.
2- Execute o modelo TV Vectorization Threshold.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcelgaucho/ThresholdVect]]></homepage>
        <file_name>ThresholdVect.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Marcel Rotunno (IBGE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ThresholdVect/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[marcelrotunno]]></uploaded_by>
        <create_date>2019-08-23T19:32:25.855918+00:00</create_date>
        <update_date>2019-08-23T19:32:26.690061+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcelgaucho/ThresholdVect/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcelgaucho/ThresholdVect]]></repository>
        <tags><![CDATA[raster,processing,provider,vectorization,polygonization,ibge]]></tags>
        <downloads>3518</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LiDAR Forestry Height" version="0.2" plugin_id="1800">
        <description><![CDATA[LiDAR Forestry Height generates a DEM with the forest height, calculated from a classified LiDAR point cloud]]></description>
        <about><![CDATA[LiDAR Forestry Height generates a DEM with the forest height, calculated from a classified LiDAR point cloud. This plugin uses the LasPy Library]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PANOimagen/LiDARForestryHeight]]></homepage>
        <file_name>LiDARForestryHeight-master.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[PANOimagen S.L.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LiDARForestryHeight-master/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[robertopanoi]]></uploaded_by>
        <create_date>2019-08-28T10:55:05.557953+00:00</create_date>
        <update_date>2019-09-10T07:32:18.252170+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PANOimagen/LiDARForestryHeight/issues]]></tracker>
        <repository><![CDATA[https://github.com/PANOimagen/LiDARForestryHeight]]></repository>
        <tags><![CDATA[raster,dem,dtm,forest,qgis3,python3,lidar,forestry,digital terrain model,dsm,digital elevation model,digital surface model,geotif,heights]]></tags>
        <downloads>7538</downloads>
        <average_vote>3.6468443032762776</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Simple WCS 2" version="0.2" plugin_id="1804">
        <description><![CDATA[Provides basic support for OGC WCS 2.X and tiff format]]></description>
        <about><![CDATA[Receive tiff files from OGC Web Coverage Services (v2.X) based on your map view. Designed to access certain german official geodata, e.g. digital aerial photographs.
What it supports: WCS 2.X Core, CRS-Extension, Protocol-Binding KVP, Geo-TIFF
What it doesn&#x27;t support: Time series, scaling, gml cov, other extensions...

Die Entwicklung der Version 0.3 dieses Plugins durch die WhereGroup wurde von der Hessischen Verwaltung für Bodenmanagement und Geoinformation (HVBG) initialisiert und finanziert.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geobasis-bb.de/]]></homepage>
        <file_name>simplewcs2.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_hXQzMDV.png</icon>
        <author_name><![CDATA[Landesvermessung und Geobasisinformation Brandenburg (Marcus Mohr), WhereGroup GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/simplewcs2/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[marcusmohr]]></uploaded_by>
        <create_date>2019-08-31T18:47:38.349526+00:00</create_date>
        <update_date>2019-09-13T09:46:36.842513+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcusmohr/simplewcs2/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcusmohr/simplewcs2]]></repository>
        <tags><![CDATA[orthophotos,wcs,ogc,tiff,aerial,geotiff,dop,web coverage service,wcs 2,dgm]]></tags>
        <downloads>4306</downloads>
        <average_vote>4.4541405326788475</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIST Workbench" version="0.0.4" plugin_id="1808">
        <description><![CDATA[Organizing Toolbars]]></description>
        <about><![CDATA[QGIST Workbench is a QGIS plugin for organizing toolbars and dockwidgets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.qgist.org]]></homepage>
        <file_name>workbench.0.0.4.zip</file_name>
        <icon>/media/packages/2019/workbench_ZbXlQEC.svg</icon>
        <author_name><![CDATA[QGIST project]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/workbench/version/0.0.4/download/</download_url>
        <uploaded_by><![CDATA[sme]]></uploaded_by>
        <create_date>2019-09-01T10:58:11.314453+00:00</create_date>
        <update_date>2019-09-10T09:13:20.415559+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgist/workbench/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgist/workbench]]></repository>
        <tags><![CDATA[toolbars,plugins]]></tags>
        <downloads>2926</downloads>
        <average_vote>4.666355576294914</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIST Toolbar Generator" version="0.0.2" plugin_id="1809">
        <description><![CDATA[Generating Toolbars]]></description>
        <about><![CDATA[QGIST Toolbar Generator is a QGIS plugin for generating toolbars.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.qgist.org]]></homepage>
        <file_name>toolbargenerator.0.0.2.zip</file_name>
        <icon>/media/packages/2019/toolbargenerator_Fly4hoc.svg</icon>
        <author_name><![CDATA[QGIST project]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/toolbargenerator/version/0.0.2/download/</download_url>
        <uploaded_by><![CDATA[sme]]></uploaded_by>
        <create_date>2019-09-01T11:00:06.380518+00:00</create_date>
        <update_date>2019-09-09T18:36:27.456070+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgist/toolbargenerator/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgist/toolbargenerator]]></repository>
        <tags><![CDATA[toolbars,plugins]]></tags>
        <downloads>2735</downloads>
        <average_vote>4.764425622022234</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="openPapers" version="0.2" plugin_id="1810">
        <description><![CDATA[Open Papers: Make an atlas, print it, draw, scan and analize.]]></description>
        <about><![CDATA[Make an atlas, print it, draw, scan and analize.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/300000kms/openPapers_qgisPlugin]]></homepage>
        <file_name>open_papers.0.2.zip</file_name>
        <icon>/media/packages/2019/icon_FYVqhrd.png</icon>
        <author_name><![CDATA[300.000kms.net]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/open_papers/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[trescientosmil]]></uploaded_by>
        <create_date>2019-09-02T08:44:27.011592+00:00</create_date>
        <update_date>2019-11-12T14:57:51.547551+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/300000kms/openPapers_qgisPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/300000kms/openPapers_qgisPlugin]]></repository>
        <tags><![CDATA[python,atlas,surveys]]></tags>
        <downloads>2907</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapBiomas Collection" version="0.3" plugin_id="1812">
        <description><![CDATA[This plugin lets you add the anual land use and land cover maps from the MapBiomas Project (http://mapbiomas.org/) as a collection of WMS layer.]]></description>
        <about><![CDATA[This plugin adds Mapbiomas annual land use land cover maps as WMS layers.
The plugin is developed in collaboration with Solved[1]
[1] https://solved.eco.br]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/mapbiomascollection/wiki]]></homepage>
        <file_name>mapbiomascollection.0.3.zip</file_name>
        <icon>/media/packages/2021/mapbiomas_6qQjoZA.svg</icon>
        <author_name><![CDATA[Luiz Motta and Luiz Cortinhas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapbiomascollection/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2019-09-05T14:25:12.388266+00:00</create_date>
        <update_date>2019-09-05T14:25:12.911527+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/mapbiomascollection/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/mapbiomascollection]]></repository>
        <tags><![CDATA[mapbiomas,solved]]></tags>
        <downloads>81866</downloads>
        <average_vote>4.428444901574241</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geometric Attributes" version="0.1" plugin_id="1813">
        <description><![CDATA[A set of tools for calculating attributes along the centerline including width, deviation, transects, shape, sinuosity and adjacency.]]></description>
        <about><![CDATA[Citation - Nyberg, B., Buckley, S.J., Howell, J.A., Nanson, R.A., (2015). Geometric attribute and shape characterization of modern depositional elements: A quantitative GIS method for empirical analysis, Computers &amp; Geosciences, Vo. 82, 2015, p. 191-204.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BjornNyberg/Geometric-Attributes-Toolbox/wiki]]></homepage>
        <file_name>geometric_attributes.0.1.zip</file_name>
        <icon>/media/packages/2019/icon.jpg</icon>
        <author_name><![CDATA[Bjorn Nyberg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geometric_attributes/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[bjebn]]></uploaded_by>
        <create_date>2019-09-05T15:20:16.860886+00:00</create_date>
        <update_date>2019-09-05T15:20:17.482752+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BjornNyberg/Geometric-Attributes-Toolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/BjornNyberg/Geometric-Attributes-Toolbox/tree/master/geometric_attributes]]></repository>
        <tags><![CDATA[distance,merge,width,shape,topology,roads,skeleton,skeletonize,deviation,centerline,medial axis,threshold,clusters,adjacency,geometric attributes,sinuosity,transect,centreline,thresholding,perpendicular,rivers,line sampling,sam,segment anything model]]></tags>
        <downloads>57607</downloads>
        <average_vote>4.124914064290327</average_vote>
        <rating_votes>48</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NetworkGT" version="0.1" plugin_id="1816">
        <description><![CDATA[NetworkGT (Network Geometry and Topology) Toolbox is a set of tools designed for the geometric and topological analysis of fracture networks.]]></description>
        <about><![CDATA[Citation - Nyberg, B., Nixon, C.W., Sanderson, D.J., 2018, NetworkGT: A GIS tool for geometric and topological analyses of two-dimensional fracture networks. Geosphere, v. 14, no. 4, doi:10.1130/GES01595.1.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BjornNyberg/NetworkGT/wiki]]></homepage>
        <file_name>network_gt.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_93rmbqt.jpg</icon>
        <author_name><![CDATA[Bjorn Nyberg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/network_gt/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[bjebn]]></uploaded_by>
        <create_date>2019-09-06T14:37:02.824598+00:00</create_date>
        <update_date>2019-09-06T14:37:03.729024+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BjornNyberg/NetworkGT/issues]]></tracker>
        <repository><![CDATA[https://github.com/BjornNyberg/NetworkGT/tree/master/QGIS/network_gt]]></repository>
        <tags><![CDATA[flow,geometry,topology,histogram,snap,skeleton,rose diagram,permeability,nodes,clusters,branches,distribution analyses,fracture networks,sets,blocks,contour grids,line frequency,aperture,repair,shortest pathway,tortuosity,percolation]]></tags>
        <downloads>22302</downloads>
        <average_vote>4.464126281204242</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bhuvan Web Services" version="0.3" plugin_id="1821">
        <description><![CDATA[This plugin allows you to load geospatial web map services from Bhuvan ISRO&#x27;s Geoportal]]></description>
        <about><![CDATA[This plugin allows you to load geospatial web map services from Bhuvan ISRO&#x27;s Geoportal]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/brenykurien/bhuvan_web_services]]></homepage>
        <file_name>bhuvan_web_services-master.0.3.zip</file_name>
        <icon>/media/packages/2020/icon_8sq3LD2.png</icon>
        <author_name><![CDATA[Breny Kurien]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bhuvan_web_services-master/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[breny]]></uploaded_by>
        <create_date>2019-09-08T14:19:50.154632+00:00</create_date>
        <update_date>2020-03-09T03:36:25.819827+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/brenykurien/bhuvan_web_services/issues]]></tracker>
        <repository><![CDATA[https://github.com/brenykurien/bhuvan_web_services]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>5275</downloads>
        <average_vote>3.832694550908182</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Template loader" version="1.1.1" plugin_id="1823">
        <description><![CDATA[Build map from template]]></description>
        <about><![CDATA[Assistant de création de carte basé sur des templates]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PnCevennes/Qgis-plugin-templateLoader]]></homepage>
        <file_name>templateLoader.1.1.1.zip</file_name>
        <icon>/media/packages/2019/icon_ZF1cayt.png</icon>
        <author_name><![CDATA[Parc national des Cévennes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/templateLoader/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[asahl]]></uploaded_by>
        <create_date>2019-09-10T08:48:06.253816+00:00</create_date>
        <update_date>2019-09-11T09:44:43.359588+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PnCevennes/Qgis-plugin-templateLoader/issues]]></tracker>
        <repository><![CDATA[https://github.com/PnCevennes/Qgis-plugin-templateLoader]]></repository>
        <tags><![CDATA[map,template,layout]]></tags>
        <downloads>2315</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cost_surface_generalization" version="0.2" plugin_id="1828">
        <description><![CDATA[QGIS plugin that implements three methods of geographic profiling.]]></description>
        <about><![CDATA[Geographic profiling aims at highlighting the anchor point of an author of several space and time localized crimes, using cost surfaces built from each of these crime sites. Three method are here implemented, based on several assumptions:

- The difference between maximal and minimal hours passing through each pixel;
- The minimization of journeys-to-crime mean (Note that it does not require time data);
- The minimization of journeys-to-crime variance (Note that it does not require time data);

For each method, the pixel that minimizes the value corresponds in theory to the anchor point.

IMPORTANT: the Skimage and Pywt libraries need to be installed. You can do it with PyPi.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JulienLaX/Cost_surface_generalization]]></homepage>
        <file_name>cost_surface_generalization.0.2.zip</file_name>
        <icon>/media/packages/2019/icon_FzvGO5V.png</icon>
        <author_name><![CDATA[Julien Lacroix]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cost_surface_generalization/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[090919]]></uploaded_by>
        <create_date>2019-09-14T20:46:52.637282+00:00</create_date>
        <update_date>2019-10-26T13:14:51.768270+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JulienLaX/Cost_surface_generalization/issues]]></tracker>
        <repository><![CDATA[https://github.com/JulienLaX/Cost_surface_generalization]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1782</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CDU Creator" version="0.3" plugin_id="1840">
        <description><![CDATA[This plugin creates the .pdf file of CDU (Certificato di Destinazione Urbanistica).]]></description>
        <about><![CDATA[--- English ---
CDU Creator generates the *Certificato di Destinazione Urbanistica (CDU)* in PDF format.
The plugin intersects the selected cadastral parcel with the layers of the urban plan,
extracting the related attributes and including them in the final report.

The resulting PDF contains all relevant planning information for the chosen parcel.
The document can be customized with a logo, a title, and additional text
(e.g. introduction, legislative references, notes).

The plugin is written in Italian, as it refers to national regulations on urban planning.
User manual (IT): https://manuale-cdu-creator.readthedocs.io/it/latest/

Version 1.0 was made possible thanks to donations from supporters of the project.

--- Italiano ---
CDU Creator compila il *Certificato di Destinazione Urbanistica (CDU)* in formato PDF.
Il plugin interseca la particella catastale selezionata con i layer dello strumento urbanistico,
recuperando le informazioni dai relativi attributi e riportandole nel documento finale.

Il PDF risultante contiene tutte le informazioni urbanistiche relative alla particella.
Il documento può essere personalizzato aggiungendo logo, titolo e un paragrafo di testo
(es. riferimenti normativi, note introduttive, ecc.).

Il plugin è stato sviluppato in lingua italiana poiché si riferisce a normative nazionali
in materia di urbanistica.
Manuale utente: https://manuale-cdu-creator.readthedocs.io/it/latest/

La versione 1.0 del plugin è stata sviluppata grazie al contributo dei sostenitori:

- Comune di Torralba (SS) — https://www.comune.torralba.ss.it/
- Associazione GFOSS — https://gfoss.it/
- Lorenzo Benvenuto, Enrico Bertonati, Antonio Cacosso, Stefano Campus
- Geol. Sabrina Casucci (studio GEASIT) — http://www.geasit.it/
- Stefano Chiappini, Paolo Corradeghini — https://3dmetrica.it/
- Federico Cortese, Giovanni D’Alessio, Ing. Gianfranco Di Pietro — https://gianfrancodp.github.io
- e42.it Cartography website Roma — http://www.e42.it/
- Amedeo Fadini, Giulio Fattori, Maria Federici, Salvatore Fiandaca — https://pigrecoinfinito.wordpress.com/
- Massimo Figaroli (libero professionista) — http://www.massimofigaroli.it/
- Federico Gianoli, GPSBRIANZA — https://gpsbrianza.com/
- Alberto Grava, Giampaolo Grosso, Massimiliano Intorbida
- Marco Lombardi — http://www.uta-studio.it/
- Massimiliano Moraca — https://www.massimilianomoraca.it/
- Francesco Paolicelli, Gianni Petino, Antonangelo Piu
- PROFESSIONAL GEOSPATIAL SERVICES RIPROGEO di Gagna Andrea — https://www.facebook.com/RIPROGEO/
- Luigi Scarpa, Pino Scioli, Mauro Silvia
- Antonio Soriano (Global Mapper Italia, Geographic Information Manager di Idea Computer, Sistemi e Servizi Snc) — https://www.globalmapper.it/
- Studio di Topografia Applicata Foderà — http://www.studiotopografia.it/
- Studio Tecnico DALTAS — https://www.geodaltas.it/
- Giuliano Urgeghe, Geom. Valentino Valentini — http://www.comune.gallese.vt.it/]]></about>
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        <icon>/media/packages/2026/icon_UDyKs39.png</icon>
        <author_name><![CDATA[Roberta Fagandini (Gter srl) - Roberto Marzocchi (Gter srl)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cdu_creator-master/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[robifag]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/gtergeomatica/cdu_creator/issues]]></tracker>
        <repository><![CDATA[https://github.com/gtergeomatica/cdu_creator]]></repository>
        <tags><![CDATA[catasto,pdf,cdu_creator,cdu,urbanistica]]></tags>
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        <description><![CDATA[Plugin for areal sampling based on GRTS]]></description>
        <about><![CDATA[This plugin gives an easy to use tool for the areal equal and stratified GRTS sampling described by Stevens and Olsen (2004).]]></about>
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        <icon>/media/packages/2019/icon_wArgF1d.png</icon>
        <author_name><![CDATA[Márton Papp]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VetSamp/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[pappm]]></uploaded_by>
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        <repository><![CDATA[https://github.com/pappmarci95/VetSamp]]></repository>
        <tags><![CDATA[python]]></tags>
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    </pyqgis_plugin><pyqgis_plugin name="Inkscape2Symbol" version="0.2" plugin_id="1842">
        <description><![CDATA[Import SVG drawings created in Inkscape as symbols in QGIS]]></description>
        <about><![CDATA[Automating a simple yet tedious and crucial procedure to convert a SVG made in Inkscape into a format compatible witht the QGIS symbol standard]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2019/icon_hWsDHp4.png</icon>
        <author_name><![CDATA[Hennie Kotze]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/inkscape2symbol-master/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[henniek]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/javaftw/inkscape2symbol/issues]]></tracker>
        <repository><![CDATA[https://github.com/javaftw/inkscape2symbol/]]></repository>
        <tags><![CDATA[svg,inkscape,python,style,convert,symbol,symbols]]></tags>
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        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapBiomas Alert" version="0.3" plugin_id="1843">
        <description><![CDATA[This plugin lets you get alert from MapBiomas Project(http://alerta.mapbiomas.org/).]]></description>
        <about><![CDATA[This plugin lets you get alert from MapBiomas Project(http://alerta.mapbiomas.org/).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/mapbiomasalert/wiki]]></homepage>
        <file_name>mapbiomasalert.0.3.zip</file_name>
        <icon>/media/packages/2022/mapbiomas_alert.png</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapbiomasalert/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2019-10-03T19:51:41.858127+00:00</create_date>
        <update_date>2019-12-01T16:50:40.070181+00:00</update_date>
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        <tracker><![CDATA[https://github.com/lmotta/mapbiomasalert/issues]]></tracker>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="French Locator Filter" version="1.0.0-beta2" plugin_id="1846">
        <description><![CDATA[Adds a Locator Filter (search bar) and processing algorithms to use geocoding services like the national French open address and the Photon OpenStreetMap APIs.]]></description>
        <about><![CDATA[The French geo.api is an open Geocoder service provided by French Government.
A Locator Filter implements the fetching of data from internal or external sources.
This plugin is forked from the work of Richard Duivenvoorde. Kudos Richard
Read more: &lt;a href=&quot;http://www.qgis.nl/2018/05/16/english-coding-a-qgslocator-plugin/?lang=en&quot;&gt;http://www.qgis.nl/2018/05/16/english-coding-a-qgslocator-plugin&lt;/a&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/french_locator_filter/]]></homepage>
        <file_name>french_locator_filter.1.0.0-beta2.zip</file_name>
        <icon>/media/packages/2026/icon_IhYiEbJ.svg</icon>
        <author_name><![CDATA[Régis Haubourg (Oslandia), Richard Duivenvoorde, Zuidt, Julien Moura (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/french_locator_filter/version/1.0.0-beta2/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2019-10-08T21:01:53.597828+00:00</create_date>
        <update_date>2021-06-16T09:53:43.176977+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/french_locator_filter/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/french_locator_filter/]]></repository>
        <tags><![CDATA[filter,address,bano,open data,geocoder,france,locator,ban,addok,french,ign,geoplateforme,photon]]></tags>
        <downloads>88379</downloads>
        <average_vote>4.621496716304965</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="raster2postgis" version="1.0.1" plugin_id="1848">
        <description><![CDATA[Import raster to postgis]]></description>
        <about><![CDATA[This plugin uploads a raster to a Postgresql server. The raster is added to the database on the server side using Postgis raster2pgsql utility. Only works if the server has the raster2pgsql utility installed. You have to install Python unidecode module before installing this plugin. Detailed instructions on the plugin home page.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/geomaster/raster2postgis]]></homepage>
        <file_name>raster2postgis.1.0.1.zip</file_name>
        <icon>/media/packages/2019/icon_bHD3zkY.png</icon>
        <author_name><![CDATA[Geomaster]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raster2postgis/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[jgrocha]]></uploaded_by>
        <create_date>2019-10-10T09:05:10.900716+00:00</create_date>
        <update_date>2020-12-31T19:01:12.464476+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/geomaster/raster2postgis/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geomaster/raster2postgis]]></repository>
        <tags><![CDATA[raster,postgis,database,postgresql,raster2pgsql]]></tags>
        <downloads>9269</downloads>
        <average_vote>4.130255206295378</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KML Style Importer" version="0.9.1" plugin_id="1849">
        <description><![CDATA[Extract style definitions from KML files]]></description>
        <about><![CDATA[This plugin allows you to process KML files and import their style definitions into QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/geomaster/kml-style-importer]]></homepage>
        <file_name>kml_style_importer.0.9.1.zip</file_name>
        <icon>/media/packages/2019/icon_BfN5Hdl.png</icon>
        <author_name><![CDATA[Geomaster]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kml_style_importer/version/0.9.1/download/</download_url>
        <uploaded_by><![CDATA[jgrocha]]></uploaded_by>
        <create_date>2019-10-10T09:12:14.422140+00:00</create_date>
        <update_date>2019-10-28T12:08:26.959122+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/geomaster/kml-style-importer/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geomaster/kml-style-importer.git]]></repository>
        <tags><![CDATA[python,kml,style,sld]]></tags>
        <downloads>8648</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SoLocator" version="1.5.900" plugin_id="1850">
        <description><![CDATA[Suche für Örtlichkeiten und Geodaten Kanton Solothurn | Locator search plugin for places and geo data of Canton Solothurn.]]></description>
        <about><![CDATA[Integration in die QGIS Suche für die Geodateninfrastruktur im Kanton Solothurn. Über dieses Plugin können Layer, Flurnamen, Adressen und andere Objekte im Kanton Solothurn gesucht und lokalisiert werden.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
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        <homepage><![CDATA[https://github.com/opengisch/solocator]]></homepage>
        <file_name>solocator.1.5.900.zip</file_name>
        <icon>/media/packages/2025/solocator_bswNhyR.png</icon>
        <author_name><![CDATA[Denis Rouzaud, OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/solocator/version/1.5.900/download/</download_url>
        <uploaded_by><![CDATA[3nids]]></uploaded_by>
        <create_date>2019-10-11T12:22:49.411055+00:00</create_date>
        <update_date>2022-07-22T12:44:38.913661+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/solocator/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/solocator]]></repository>
        <tags><![CDATA[locator,schweiz,soleure,solothurn]]></tags>
        <downloads>11185</downloads>
        <average_vote>3.999333444425929</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Hugin QGIS" version="1.2" plugin_id="1854">
        <description><![CDATA[Perform spatial probabilistic analysis using HUGIN Bayesian Networks]]></description>
        <about><![CDATA[The basic principle of the HUGIN QGIS plugin is to apply a Bayesian network to each point in one or more raster layers and output a new raster layer with the results. For each point potential covering multiple layers, the Bayesian network inserts and propagates the values of the nodes linked to raster layers. The user can select a number of output values: Index of the state with maximum probability, probability of the state with maximum probability, and maximum expected utility.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/huginexpert/HUGIN-QGIS]]></homepage>
        <file_name>hugin_qgis.1.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Hugin Expert]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hugin_qgis/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[huginexpert]]></uploaded_by>
        <create_date>2019-10-15T14:51:17.457598+00:00</create_date>
        <update_date>2022-08-17T10:05:41.059378+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/huginexpert/HUGIN-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/huginexpert/HUGIN-QGIS]]></repository>
        <tags><![CDATA[analysis,processing,hugin,bbn]]></tags>
        <downloads>1916</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ESTIMAP Recreation" version="1.5" plugin_id="1856">
        <description><![CDATA[Ecosystem services mapping at European scale (ESTIMAP)- Recreation]]></description>
        <about><![CDATA[This QGIS plugin is a frontend to the following GRASS GIS addon: https://gitlab.com/natcapes/r.estimap.recreation
Sample data are available at: https://gitlab.com/natcapes/r.estimap.recreation.data]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/natcapes/natcapes_qgis]]></homepage>
        <file_name>natcapes_qgis-master.1.5.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[NATCAPES]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/natcapes_qgis-master/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[natcapes]]></uploaded_by>
        <create_date>2019-10-16T17:26:53.188696+00:00</create_date>
        <update_date>2019-12-17T14:25:43.551549+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/natcapes/natcapes_qgis/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/natcapes/r.estimap.recreation]]></repository>
        <tags><![CDATA[python,processing,europe,recreation,grass,ecosystem services,estimap]]></tags>
        <downloads>5772</downloads>
        <average_vote>2.997002997002997</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Stripchartdrawer" version="0.5" plugin_id="1860">
        <description><![CDATA[Drawing a stripchart for a selected value from a dataset.]]></description>
        <about><![CDATA[Draws a stripchart for a value from a layer.
Shows selected data and can be used to select data.
The plot will be sorted on the (first field of the) primary key of the data set. If the dataset has no primary key, the data will be plotted, sorted on &quot;id&quot; if that field exists, it may not be possible to select data in the stripchart in this case.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/qgisstripchart/]]></homepage>
        <file_name>stripchart.0.5.zip</file_name>
        <icon>/media/packages/2024/icon_BiEEAAR.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/stripchart/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2019-10-21T08:10:23.893076+00:00</create_date>
        <update_date>2019-10-29T20:30:29.340319+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/qgisstripchart/]]></tracker>
        <repository><![CDATA[https://github.com/sickel/qgisstripchart/]]></repository>
        <tags><![CDATA[timeseries,stripchart,radioactivity,gamma]]></tags>
        <downloads>5592</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spectre Viewer" version="0.6" plugin_id="1865">
        <description><![CDATA[View spectra stored in a geodataset.]]></description>
        <about><![CDATA[The plugin is for plotting georeferenced spectral data, e.g. from carborne or aerial gamma surveys. The spectre must be stored in an array, either as a postgres array datafield or as a comma separated string with an integer for each channel. In the plugin, select the the data set and in which field the spectra are stored. When features in the dataset are selected, the integrated spectra over these features will be displayed. Click in spectra to read values. Use arrow keys to move, esc to remove the reader line. Spectre values can be copied and pasted as a comma separated string of integers. The spectra can be saved as an image.
&lt;b&gt;Peak detection&lt;/b&gt;
The plugin will detect peaks in the spectrum. A linear calibration can be set up from channel numbers to energy. The peaks will be listed and each peak can be assigned a value calculate a new calibration. Check &quot;use&quot; to apply the calculated calibration. If a peak corresponds to a known nuclide, the nuclide will be indicated. (The nuclide information is stored in gammas.yml in the plugin directory, any updates to this file will be overwritten when the plugin is updated)
&lt;b&gt;Other plugins&lt;/b&gt;
There are three other plugins that are made to be used together with this plugin:
* Spectral data loader: Reads in .spe files or an ascii file exported from RSI software and stores the data in a suitable format for the spectre viewer. It should not be too hard to extend this for other text based spectral formats. Contact the author if that should be needed.
* Stripchartdrawer: Draws a strip chart of one of the numeric values from a data set. Makes it possible to select e.g. points with high dose rates
* Altitudeconverter: To estimate the parameters to calculate ground bases values from airborne gamma surveys.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/qgisSpectre]]></homepage>
        <file_name>qgisSpectre.0.6.zip</file_name>
        <icon>/media/packages/2024/icon_XWLnRfh.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisSpectre/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2019-10-25T20:24:57.909776+00:00</create_date>
        <update_date>2019-10-30T19:35:01.970847+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/qgisSpectre/issues]]></tracker>
        <repository><![CDATA[https://github.com/sickel/qgisSpectre]]></repository>
        <tags><![CDATA[gamma monitoring,spectrometry,radiation]]></tags>
        <downloads>9568</downloads>
        <average_vote>3.999333444425929</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SPARQLing Unicorn QGIS Plugin" version="0.17.4" plugin_id="1866">
        <description><![CDATA[This plugin adds QGIS layers from SPARQL endpoint queries. The necessary python libs are bundled with the plugin.]]></description>
        <about><![CDATA[Adds a layer from Wikidata and other Linked Data SPARQL endpoints. Just insert a SPARQL query for Geo-Items and get a new vector layer into QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://sparqlunicorn.link]]></homepage>
        <file_name>sparqlunicorn.0.17.4.zip</file_name>
        <icon>/media/packages/2021/icon_R2LQEkJ.png</icon>
        <author_name><![CDATA[Florian Thiery, Timo Homburg, SPARQL Unicorn, Research Squirrel Engineers Network]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sparqlunicorn/version/0.17.4/download/</download_url>
        <uploaded_by><![CDATA[fthierygeo]]></uploaded_by>
        <create_date>2019-10-28T15:46:44.470316+00:00</create_date>
        <update_date>2025-12-19T12:22:30.405584+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sparqlunicorn/sparqlunicornGoesGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/sparqlunicorn/sparqlunicornGoesGIS]]></repository>
        <tags><![CDATA[openstreetmap,ordnance survey,geonames,wikidata,sparql,kerameikos,nomisma,linkedgeodata,dbpedia,sophox,atlantgis,roman open data,covid19,pleiades]]></tags>
        <downloads>11692</downloads>
        <average_vote>4.210304720804168</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vector field layer manager" version="1.0.2" plugin_id="1869">
        <description><![CDATA[Draw a point layer with arrow symbols]]></description>
        <about><![CDATA[Provides a capability  a point layer with arrows representing vectors.  The
size and orientation of the arrow is data defined.  Typically this
would be used to represent movement, fluid flow or ground deformation
for example.  The plugin can also draw an ellipse representing the
error covariance of the vector.  The scale of the arrows can be easily
changed using buttons on the toolbar.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/ccrook/QGIS-VectorFieldRenderer-Plugin]]></homepage>
        <file_name>VectorFieldLayerManager.1.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Chris Crook]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/VectorFieldLayerManager/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[ccrook]]></uploaded_by>
        <create_date>2019-10-28T21:21:20.535962+00:00</create_date>
        <update_date>2019-10-28T21:21:20.790735+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ccrook/QGIS-VectorFieldRenderer-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ccrook/QGIS-VectorFieldRenderer-Plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>20138</downloads>
        <average_vote>3.9995556049327856</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KoALA" version="0.5.8" plugin_id="1873">
        <description><![CDATA[Korean Accessibility and Optimal Location Analysis Tool for Neighborhood SOC]]></description>
        <about><![CDATA[This tool is built to support a rational decision-making process for optimal supply and management of neighborhood SOC in South Korea.
- Equity-based potential location analysis(by euclidean Distance, by network Distance)
- Efficiency-based potential location analysis(by euclidean Distance, by network Distance)
- Accessibility Analysis of Detailed Living Areas(by euclidean Distance, by network Distance)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ansup0402/KoALA]]></homepage>
        <file_name>KoALA.0.5.8.zip</file_name>
        <icon>/media/packages/2020/icon_fh8cJNF.png</icon>
        <author_name><![CDATA[Hyunjoong Kim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/KoALA/version/0.5.8/download/</download_url>
        <uploaded_by><![CDATA[ansup0402]]></uploaded_by>
        <create_date>2019-11-02T06:31:20.389507+00:00</create_date>
        <update_date>2020-12-29T15:28:29.445709+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ansup0402/KoALA/issues]]></tracker>
        <repository><![CDATA[https://github.com/ansup0402/KoALA]]></repository>
        <tags><![CDATA[network,accessibility,korea,soc]]></tags>
        <downloads>4730</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ShLocator" version="v1.3" plugin_id="1875">
        <description><![CDATA[Suche für Geodaten Kanton Schaffhausen]]></description>
        <about><![CDATA[Integration in die QGIS Suche für die Geodateninfrastruktur im Kanton Schaffhausen. Über dieses Plugin können Adressen und andere Objekte im Kanton Schaffhausen gesucht und lokalisiert werden. This is a search provider for the canton Schaffhausen in Switzerland]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/shlocator]]></homepage>
        <file_name>shlocator.v1.3.zip</file_name>
        <icon>/media/packages/2026/shlocator.png</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/shlocator/version/v1.3/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2019-11-11T09:01:50.214263+00:00</create_date>
        <update_date>2022-04-06T20:52:07.560870+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/shlocator/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/shlocator]]></repository>
        <tags><![CDATA[locator,schweiz,schaffhausen,suche]]></tags>
        <downloads>3178</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Generalizer3" version="0.8" plugin_id="1877">
        <description><![CDATA[Lines generalization and smoothing (partially based on v.generalize GRASS module)]]></description>
        <about><![CDATA[Plugin to Generalize, Simplify or Smooth lines in QGIS
Functions :
Remove small objects
Simplify :
Douglas-Peucker Algorithm
Jenk&#x27;s Algorithm
Lang Algorithm
Reumann-Witkam Algorithm
Vertex Reduction
Smooth :
Boyle&#x27;s Forward-Looking Algorithm
Chaiken&#x27;s Algorithm
Hermite Spline Interpolation
McMaster&#x27;s Distance-Weighting Algorithm
Distance Weighting
McMaster&#x27;s Sliding Averaging Algorithm
Snakes Algorithm : Slowest smoothing algorithm]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/giscan/Generalizer]]></homepage>
        <file_name>Generalizer3.0.8.zip</file_name>
        <icon>/media/packages/2020/icon_skUFh8q.png</icon>
        <author_name><![CDATA[Piotr Pociask, Matthew Petroff, Sylvain POULAIN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Generalizer3/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[sylvain]]></uploaded_by>
        <create_date>2019-11-11T14:18:35.937799+00:00</create_date>
        <update_date>2020-05-23T18:35:37.675399+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/giscan/Generalizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/giscan/Generalizer]]></repository>
        <tags><![CDATA[vector,line,simplify,smooth]]></tags>
        <downloads>64441</downloads>
        <average_vote>3.8212920967108315</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Indian WAtershed Management support System" version="0.5" plugin_id="1879">
        <description><![CDATA[This plugin help in planning watershed managment projects]]></description>
        <about><![CDATA[The plugin is developed for planning watershed management projects especially for Indian scernerio. The plugin has three modules, first, hydrological module to perform detailed process based hydrological modelling at annual scale. second, priotisation module to identify critical areas based on socio-demographic as well as hydrological aspects. Third is soil and water conservation module to identify optimal location for suitable conservation measures.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Pratikshajain/IWAMS]]></homepage>
        <file_name>iwams.0.5.zip</file_name>
        <icon>/media/packages/2023/icon_TpftkVS.png</icon>
        <author_name><![CDATA[Pratiksha Jain and RAAJ Ramsankaran]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/iwams/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[pratiksha]]></uploaded_by>
        <create_date>2019-11-13T19:07:59.705420+00:00</create_date>
        <update_date>2023-12-17T15:09:13.455683+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Pratikshajain/IWAMS]]></tracker>
        <repository><![CDATA[https://github.com/Pratikshajain/IWAMS]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3622</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Guided Offline Editing" version="0.9.0" plugin_id="1880">
        <description><![CDATA[Extend the built-in Offline Editing plugin providing automated processes]]></description>
        <about><![CDATA[This plugin provides some simple automations to ease projects sharing across an organization. At the moment, it relies heavily on PostgreSQL and on QGIS features introduced in versions 3.6 and 3.8. How it works ? A &quot;power user&quot; (a GIS admin, a DBA, or the like) prepares beforehand one or more projects for working with PostgreSQL/Postgis layers. That is: she loads PostgreSQL layers in QGIS and prepares everything to work with these layers: symbology, relations, forms. She does so with as much details as possible (form widgets, field validation, field help, relationships, and so on). She also indicates which layers must be downloaded for offline edition (a variable to set in layer properties). Then these projects are saved in PostgreSQL (this is a feature introduced in QGIS 3.6). Now, on the &quot;normal user&quot; side, the plugin shows the list of available projects that have been prepared in this manner. The user selects one project and just clicks `Go!`. That&#x27;s it! The project is loaded like it was prepared. The user can also choose to download the project for offline edition. The project is then saved into one GeoPackage file (QGIS 3.8). Later, when back online, the user just clicks `Upload` and the layers are synchronised into PostgreSQL.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ygversil/qgis-guided-offline-editing]]></homepage>
        <file_name>guided_offline_editing.0.9.0.zip</file_name>
        <icon>/media/packages/2020/guided_offline_editing_copy_gtvELci.png</icon>
        <author_name><![CDATA[Yann Voté]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/guided_offline_editing/version/0.9.0/download/</download_url>
        <uploaded_by><![CDATA[ygversil]]></uploaded_by>
        <create_date>2019-11-15T10:53:03.855408+00:00</create_date>
        <update_date>2020-03-31T14:13:57.783038+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ygversil/qgis-guided-offline-editing/issues]]></tracker>
        <repository><![CDATA[https://github.com/ygversil/qgis-guided-offline-editing]]></repository>
        <tags><![CDATA[vector,feature,editing,python,attribute,database,attribute edit,attribute table,field,digitizing,layers,gis,qgis,offline,synchronize]]></tags>
        <downloads>4584</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GPI_Import" version="0.4" plugin_id="1882">
        <description><![CDATA[Import SurvCE RW5 files from raw data temporary into  QGIS]]></description>
        <about><![CDATA[Import RW5 RAW Survey Files to QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Amphibitus/gpi_import]]></homepage>
        <file_name>gpi_import.0.4.zip</file_name>
        <icon>/media/packages/2023/icon_1nfPA2H.png</icon>
        <author_name><![CDATA[g3er geoplaning GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gpi_import/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[amphibitus]]></uploaded_by>
        <create_date>2019-11-18T17:20:52.043103+00:00</create_date>
        <update_date>2023-03-22T14:45:37.917807+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Amphibitus/gpi_import/issues]]></tracker>
        <repository><![CDATA[https://github.com/Amphibitus/gpi_Import]]></repository>
        <tags><![CDATA[python,import,survey,carlson,pointlayer,gpi,rw5,survpc,survce,raw]]></tags>
        <downloads>3834</downloads>
        <average_vote>2.9990003332222592</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NDOP Downloader" version="0.1.1-beta" plugin_id="1884">
        <description><![CDATA[Stažení a import dat o výskytu druhů z NDOP AOPK. &lt;br&gt;&lt;br&gt; Download and import species occurence data from SOD NCA.]]></description>
        <about><![CDATA[NDOP Downloader allows download species occurence data from &lt;a href=&quot;https://portal.nature.cz/nd/&quot;&gt;The Species Occurrence Database NCA CR&lt;/a&gt; (Nature Conservation Agency of the Czech Republic). Localisation (.shp compressed in .zip) and table data (.csv) will be downloaded for found records. Table data will be imported as point layer according the columns with coordinates.

For using a databse is necessary &lt;a href=&quot;https://idm.nature.cz/idm/#/registration&quot;&gt;create account&lt;/a&gt; (free) in NCA information system.

NDOP Downloader slouží ke stahování dat o výskytu druhů z &lt;a href=&quot;https://portal.nature.cz/nd/&quot;&gt;Nálezové databáze AOPK&lt;/a&gt;. Pro všechny nalezené záznamy se stáhnou a importují dostupná data lokalizací (.shp komprimované v .zip) a tabulková data (.csv), ta se na základě uvedených souřadnic zobrazí jako bodová vrstva.

Pro použití je nutné &lt;a href=&quot;https://idm.nature.cz/idm/#/registration&quot;&gt;vytvořit účet&lt;/a&gt; (zdarma) v informačním systému AOPK - ISOP.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://opengeolabs.github.io/qgis-ndop-downloader/]]></homepage>
        <file_name>ndop_downloader.0.1.1-beta.zip</file_name>
        <icon>/media/packages/2024/icon_MPtLNvw.png</icon>
        <author_name><![CDATA[Oto Kaláb]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ndop_downloader/version/0.1.1-beta/download/</download_url>
        <uploaded_by><![CDATA[otokalab]]></uploaded_by>
        <create_date>2019-11-19T17:17:54.629662+00:00</create_date>
        <update_date>2019-11-19T17:17:57.383489+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenGeoLabs/qgis-ndop-downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenGeoLabs/qgis-ndop-downloader]]></repository>
        <tags><![CDATA[ecology,download,species occurrence]]></tags>
        <downloads>2281</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoAtlasQGIS" version="1.0" plugin_id="1887">
        <description><![CDATA[GeoAtlas Live, now in QGIS]]></description>
        <about><![CDATA[This plugin allows for the use of features found in GeoAtlas Live in QGIS. This includes making cross-sections of geological models, showing geological models for a given depth, and creating virtual borings. To use the plugin, you need a user for GeoAtlas Live. If you are interested in getting one, please contact us at data@geo.dk. If you have any feedback or find any bugs, please contact us.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://data.geo.dk/]]></homepage>
        <file_name>GeoAtlasQGIS.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_BQOrCMe.png</icon>
        <author_name><![CDATA[Geo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoAtlasQGIS/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[hmdgeodk]]></uploaded_by>
        <create_date>2019-11-21T10:55:06.649080+00:00</create_date>
        <update_date>2019-11-21T10:55:06.835904+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Geo-dk/GeoAtlasQGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Geo-dk/GeoAtlasQGIS]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>30709</downloads>
        <average_vote>4.743549200434184</average_vote>
        <rating_votes>117</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Radiotrack" version="0.1" plugin_id="1889">
        <description><![CDATA[Visualizes radiotracking data]]></description>
        <about><![CDATA[This plugin allows visualizing and processing telemetry data from a csv file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lccanon/Radiotrack]]></homepage>
        <file_name>Radiotrack.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_KCIeBeI.png</icon>
        <author_name><![CDATA[Bello Fernando, Boisson Romain, Cabodi Alexis, Canon Louis-Claude, Jeannin Emile, Moyikoulou Chris-Féri, Wetzel Anthony]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Radiotrack/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[lccanon]]></uploaded_by>
        <create_date>2019-11-22T17:24:37.098169+00:00</create_date>
        <update_date>2019-11-22T17:24:39.784751+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lccanon/Radiotrack/issues]]></tracker>
        <repository><![CDATA[https://github.com/lccanon/Radiotrack]]></repository>
        <tags><![CDATA[ecology,zoology,home range,animal movements]]></tags>
        <downloads>8862</downloads>
        <average_vote>3.9995000624921886</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Freehand Editing 3" version="1.1.0" plugin_id="1890">
        <description><![CDATA[Freehand line/polygon editing]]></description>
        <about><![CDATA[useful for tablet computers or marking]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DocOC86/freehandEditing_3]]></homepage>
        <file_name>freehandEditing3.1.1.0.zip</file_name>
        <icon>/media/packages/2019/icon_hU4j30c.png</icon>
        <author_name><![CDATA[Pavol Kapusta, Rick Brüning]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/freehandEditing3/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[rickb]]></uploaded_by>
        <create_date>2019-11-25T12:46:52.249939+00:00</create_date>
        <update_date>2019-11-25T12:46:53.488379+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DocOC86/freehandEditing_3/issues]]></tracker>
        <repository><![CDATA[https://github.com/DocOC86/freehandEditing_3]]></repository>
        <tags><![CDATA[vector,digitizing]]></tags>
        <downloads>8221</downloads>
        <average_vote>4.399560043995601</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mapping Biocontrol Ecosystem Services" version="0.2" plugin_id="1900">
        <description><![CDATA[This QGIS plugin was developed by the University of Évora to map the biocontrol services that species occuring in natural and semi-natural habitats provide to agricultural areas. It calculates the overall biocontrol services provided by the natural habitat patches within a determined distance from the agricultural area. The biocontrol services provided can be distance weighted according to a linear decay function or a half-normal decay function. This plugin was developed within the University of Évora (Portugal) within the project &quot;New tools for monitoring ecosystems services in traditional Alentejo production systems under intensification&quot; (ALT20-03-0145-FEDER-000008), co-funded by Alentejo 2020, Portugal 2020 and European Fund for Regional Development.]]></description>
        <about><![CDATA[A tool to map biocontrol services provided by species that occur in natural and semi-natural habitats.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NaturalGIS/mapping_ecosystem_services]]></homepage>
        <file_name>mapping_ecosystem_services.0.2.zip</file_name>
        <icon>/media/packages/2019/icon_w8bjGKz.png</icon>
        <author_name><![CDATA[NaturalGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapping_ecosystem_services/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[lutra]]></uploaded_by>
        <create_date>2019-12-02T14:26:13.812092+00:00</create_date>
        <update_date>2019-12-26T18:58:48.203475+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NaturalGIS/mapping_ecosystem_services]]></tracker>
        <repository><![CDATA[https://github.com/NaturalGIS/mapping_ecosystem_services]]></repository>
        <tags><![CDATA[ecology,land cover,habitats,patches]]></tags>
        <downloads>3026</downloads>
        <average_vote>3.332222592469177</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Google Earth Engine" version="0.0.8" plugin_id="1901">
        <description><![CDATA[Integrates QGIS with Google Earth Engine]]></description>
        <about><![CDATA[Integrates Google Earth Engine (GEE) by wrapping GEE Python API.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gee-community.github.io/qgis-earthengine-plugin/]]></homepage>
        <file_name>ee_plugin.0.0.8.zip</file_name>
        <icon>/media/packages/2026/earth-engine.svg</icon>
        <author_name><![CDATA[Gennadii Donchyts, Xavier C. Llano, Fedor Baart, Zac Deziel, Anthony Lukach]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ee_plugin/version/0.0.8/download/</download_url>
        <uploaded_by><![CDATA[gena]]></uploaded_by>
        <create_date>2019-12-02T19:03:26.082653+00:00</create_date>
        <update_date>2025-05-16T17:42:31.396780+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gee-community/qgis-earthengine-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/gee-community/qgis-earthengine-plugin]]></repository>
        <tags><![CDATA[raster,analysis,landsat,cloud,statistics,google,dem,land cover,geometry,topography,remote sensing,processing,webservice,geojson,gee]]></tags>
        <downloads>998500</downloads>
        <average_vote>4.300256567676763</average_vote>
        <rating_votes>373</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ClassificationTool" version="0.2" plugin_id="1903">
        <description><![CDATA[Classification of remote sensing images]]></description>
        <about><![CDATA[A simple to use QGIS plugin for supervised classification of remote sensing images]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SteveMHill/ClassificationTool]]></homepage>
        <file_name>ClassificationTool.0.2.zip</file_name>
        <icon>/media/packages/2020/icon_Zc7BqTl.png</icon>
        <author_name><![CDATA[Steven Hill]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ClassificationTool/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[stevemhill]]></uploaded_by>
        <create_date>2019-12-03T13:59:46.300360+00:00</create_date>
        <update_date>2020-01-17T17:18:08.669437+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SteveMHill/ClassificationTool/issues]]></tracker>
        <repository><![CDATA[https://github.com/SteveMHill/ClassificationTool]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8138</downloads>
        <average_vote>4.498875281179704</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Indoor Schematic" version="0.2" plugin_id="1908">
        <description><![CDATA[This plugin makes an schematic map for indoor environments.]]></description>
        <about><![CDATA[The UFPR CampusMap project has as its main objective map the environments of the Universidade Federal do Paraná (UFPR). This plugin makes an schematic map for indoor environments, using corridors as polygons and doors as points, where it extracts the skeleton of the corridors using the Voronoi Diagram, with the objective to, posteriorly, create a route system. O projeto UFPR CampusMap tem como principal objetivo mapear os ambientes da Universidade Federal do Paraná (UFPR). Este plugin faz um mapa esquemático para ambientes internos, usando corredores como polígonos e portas como pontos, onde extrai o esqueleto dos corredores usando o diagrama de Voronoi, com o objetivo de, posteriormente, criar um sistema de rotas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://homepage]]></homepage>
        <file_name>indoor_schematic.0.2.zip</file_name>
        <icon>/media/packages/2020/WhatsApp_Image_2019-12-05_at_4.50.36_PM_T0ftUDF.jpeg</icon>
        <author_name><![CDATA[Luiz Otávio Carneiro Filho]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/indoor_schematic/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[luiizot]]></uploaded_by>
        <create_date>2019-12-13T19:25:05.962970+00:00</create_date>
        <update_date>2020-08-21T19:55:19.823994+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://bugs]]></tracker>
        <repository><![CDATA[https://github.com/LuiizOt/indoor_schematic]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1278</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CSV Tools" version="0.7.2" plugin_id="1913">
        <description><![CDATA[Adds new processing algorithms and models that deal with CSV files]]></description>
        <about><![CDATA[This plugin adds new processing algorithms and models to help working with CSV files. Added algorithms include, among others: load a CSV file as a vector layer, export a vector layer as a CSV file, compute differences between two version of the same layer, and so on...]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ygversil/qgis-plugin-csv-tools]]></homepage>
        <file_name>csv_tools.0.7.2.zip</file_name>
        <icon>/media/packages/2020/csv_7MCOLuq.png</icon>
        <author_name><![CDATA[Yann Voté]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/csv_tools/version/0.7.2/download/</download_url>
        <uploaded_by><![CDATA[ygversil]]></uploaded_by>
        <create_date>2019-12-18T14:57:32.238862+00:00</create_date>
        <update_date>2020-07-20T14:31:46.663828+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ygversil/qgis-plugin-csv-tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/ygversil/qgis-plugin-csv-tools]]></repository>
        <tags><![CDATA[vector,python,export,import,csv,postgresql]]></tags>
        <downloads>15628</downloads>
        <average_vote>2.703603570238139</average_vote>
        <rating_votes>27</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="D.E.M. Slicer" version="0.5.0" plugin_id="1914">
        <description><![CDATA[D.E.M. slicer, an &#x27;artistic&#x27; relief cutting tool]]></description>
        <about><![CDATA[It is a simple tool for cutting (in slices) of DEM, to draw pretty postcards, for the lovers of reliefs.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/xcaeag/Dem-Slicer-Qgis-Plugin]]></homepage>
        <file_name>dem_slicer.0.5.0.zip</file_name>
        <icon>/media/packages/2026/icon_LjyEgAp.png</icon>
        <author_name><![CDATA[Xavier Culos]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dem_slicer/version/0.5.0/download/</download_url>
        <uploaded_by><![CDATA[geum]]></uploaded_by>
        <create_date>2019-12-18T18:30:01.112702+00:00</create_date>
        <update_date>2026-03-17T14:12:27.167464+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/xcaeag/Dem-Slicer-Qgis-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/xcaeag/Dem-Slicer-Qgis-Plugin]]></repository>
        <tags><![CDATA[vector,profile,polyline,dem,topography,mnt]]></tags>
        <downloads>7571</downloads>
        <average_vote>4.545041359876375</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGEP" version="1.6.0-rc.4" plugin_id="1921">
        <description><![CDATA[Plugin to manage wastewater networks]]></description>
        <about><![CDATA[The QGEP plugin adds functionality to manage wastewater networks in QGIS. It requires a QGEP compatible database and project file.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/qgep/qgepplugin]]></homepage>
        <file_name>qgepplugin.1.6.0-rc.4.zip</file_name>
        <icon>/media/packages/2025/qgepIcon_bD30xSV.svg</icon>
        <author_name><![CDATA[TEKSI]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgepplugin/version/1.6.0-rc.4/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2019-12-20T15:47:20.824147+00:00</create_date>
        <update_date>2023-03-10T17:53:34.037278+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgep/qgepplugin/issues]]></tracker>
        <repository><![CDATA[http://github.com/QGEP/qgepplugin]]></repository>
        <tags><![CDATA[wastewater,abwasser,gep]]></tags>
        <downloads>13030</downloads>
        <average_vote>3.190324270272844</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick Print Layout Creator and Exporter" version="0.1c" plugin_id="1923">
        <description><![CDATA[This plugin transforms multiple layers into muliple layouts, based on a template. Then, you can export your creation.]]></description>
        <about><![CDATA[This plugin transforms multiple layers into muliple layouts, based on a template. You can export your creation. When you wish to create multiple maps, you need, for each maps, format your layer, create your print layout, and then export it. This plugin helps you to do it in one step : define your layers, your template, and the plugin will generate one print layout by layers, and alows to export them.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MartinBocquet/QuickPrintLayoutCreator]]></homepage>
        <file_name>quickprintlayoutcreator.0.1c.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Martin Bocquet]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quickprintlayoutcreator/version/0.1c/download/</download_url>
        <uploaded_by><![CDATA[martinbocquet]]></uploaded_by>
        <create_date>2019-12-26T17:15:33.327303+00:00</create_date>
        <update_date>2020-08-13T19:24:04.428511+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MartinBocquet/QuickPrintLayoutCreator/issues]]></tracker>
        <repository><![CDATA[https://github.com/MartinBocquet/QuickPrintLayoutCreator]]></repository>
        <tags><![CDATA[composer,export,pdf]]></tags>
        <downloads>4414</downloads>
        <average_vote>4.399560043995601</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Terrain Shading" version="0.9.4" plugin_id="1924">
        <description><![CDATA[Shading algorithms for terrain analysis and visualisation.]]></description>
        <about><![CDATA[This plugin features several algoritms for the analysis and visualisation of elevation models (DEMs).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://landscapearchaeology.org/qgis-terrain-shading]]></homepage>
        <file_name>TerrainShading.0.9.4.zip</file_name>
        <icon>/media/packages/2025/icon_SPL59us.png</icon>
        <author_name><![CDATA[Zoran Čučković]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TerrainShading/version/0.9.4/download/</download_url>
        <uploaded_by><![CDATA[zoran14]]></uploaded_by>
        <create_date>2019-12-30T19:24:30.207652+00:00</create_date>
        <update_date>2021-12-26T17:48:34.923070+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zoran-cuckovic/QGIS-terrain-shading/issues]]></tracker>
        <repository><![CDATA[https://github.com/zoran-cuckovic/QGIS-terrain-shading]]></repository>
        <tags><![CDATA[raster,hillshade,shadows,ambient occlusion,sky-view factor]]></tags>
        <downloads>79032</downloads>
        <average_vote>4.46656740961312</average_vote>
        <rating_votes>45</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EU Mapper" version="0.1" plugin_id="1930">
        <description><![CDATA[This plugin creates customized EU maps]]></description>
        <about><![CDATA[This plugin generates a customized EU map displaying different statistics. It is very user friendly, and is perfect for people interested in EU comparative statistics.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Themapworkshop/QGIS.git]]></homepage>
        <file_name>eu_mapper.0.1.zip</file_name>
        <icon>/media/packages/2020/EUICON.png</icon>
        <author_name><![CDATA[The Map Workshop]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eu_mapper/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[themapworkshop]]></uploaded_by>
        <create_date>2020-01-02T14:13:01.577971+00:00</create_date>
        <update_date>2020-01-02T14:13:01.772546+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Themapworkshop/QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Themapworkshop/QGIS]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2671</downloads>
        <average_vote>4.285408185129634</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Nuclear Energy Plants&#x27; Radiations" version="1.5" plugin_id="1935">
        <description><![CDATA[Visualize all nuclear energy plant in the world!]]></description>
        <about><![CDATA[The goal of this project was develop a python plugin for the software Quantum GIS (QGIS) in order to visualize on the open street map all nuclear energy plant in the world. This plugin use the mqtt protocol for receive of radiation data from sensors in order to dinamically visualize it on the map. In order to clarify the visualization of the radiation data, a heat map was created and used. The plugin uses fake radiation, it simulates that the data comes from real sensors. The extention value (radiation radius) is computed by MAX_RADIATION_VALUE / (4pi), in order to give a real visual experience.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DomenicoM92/Nuclear-Energy-Plant-Radiations-.git]]></homepage>
        <file_name>Nuclear-Energy-Plant-Radiations-.1.5.zip</file_name>
        <icon>/media/packages/2020/icon_UUOaPRi.png</icon>
        <author_name><![CDATA[Marino Domenico, Ruggiero Mario]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Nuclear-Energy-Plant-Radiations-/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[1234567]]></uploaded_by>
        <create_date>2020-01-06T16:20:02.647881+00:00</create_date>
        <update_date>2020-01-10T09:33:10.386086+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DomenicoM92/Nuclear-Energy-Plant-Radiations-/issues/]]></tracker>
        <repository><![CDATA[https://github.com/DomenicoM92/energy_plant_radiation_module.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4275</downloads>
        <average_vote>4.545041359876375</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Produce Training Data For Deep Learning" version="0.4" plugin_id="1940">
        <description><![CDATA[The plugin fragments the remote sensing image, to be used as deep learning training datasets.]]></description>
        <about><![CDATA[Deep learning has achieved unprecedented accuracy in a variety of fields, including remote sensing. But not every remote sensing professional has a strong programming background, which is the required skill for practising deep learning. While enough material and sample code for deep learning applications are available in online repositories, pre-processing the remote sensing datasets to reach the training stage is still a tedious task and requires programming knowledge. Proprietary options to pre-process the data only on mouse clicks are available. However, access to such licensed software is often expensive and hence limited for a large population of researchers and practitioners. The plugin bridges the gap by enabling users to generate training samples in the form of image chips for deep learning application.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PratyushTripathy/QGIS-Plugin-Produce-Training-Samples-For-Deep-Learning]]></homepage>
        <file_name>produce_training_data_for_deep_learning.0.4.zip</file_name>
        <icon>/media/packages/2020/icon_w2UBmE7.png</icon>
        <author_name><![CDATA[Pratyush Tripathy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/produce_training_data_for_deep_learning/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[pratyush]]></uploaded_by>
        <create_date>2020-01-10T07:14:47.578509+00:00</create_date>
        <update_date>2020-01-30T06:51:17.890827+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PratyushTripathy/QGIS-Plugin-Produce-Training-Samples-For-Deep-Learning/issues]]></tracker>
        <repository><![CDATA[https://github.com/PratyushTripathy/QGIS-Plugin-Produce-Training-Samples-For-Deep-Learning]]></repository>
        <tags><![CDATA[python,deep learning]]></tags>
        <downloads>6752</downloads>
        <average_vote>4.107629113398255</average_vote>
        <rating_votes>65</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Servicios WMS - IDES Cali" version="0.2" plugin_id="1941">
        <description><![CDATA[Este plugin provee acceso a los servicios WMS de la Infraestructura de Datos Espaciales de Santiago de Cali (IDESC)]]></description>
        <about><![CDATA[Este plugin provee acceso a los servicios WMS de la Infraestructura de Datos Espaciales de Santiago de Cali (IDESC)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AndresHerrera/idescali_ws]]></homepage>
        <file_name>idescali_ws.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_tt4omHT.png</icon>
        <author_name><![CDATA[Andres Herrera]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/idescali_ws/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[t763rm3n]]></uploaded_by>
        <create_date>2020-01-10T12:26:34.873216+00:00</create_date>
        <update_date>2026-01-13T21:02:01.519878+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AndresHerrera/idescali_ws/issues]]></tracker>
        <repository><![CDATA[https://github.com/AndresHerrera/idescali_ws]]></repository>
        <tags><![CDATA[python,wms,idesc,spatial data infrastructure,cali]]></tags>
        <downloads>1167</downloads>
        <average_vote>3.99800099950025</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tree Density Calculator" version="1.2" plugin_id="1944">
        <description><![CDATA[The Tree Density Calculator is designed to calculate tree densities based on local maxima.]]></description>
        <about><![CDATA[The Tree Density Calculator is a QGIS plugin and command line interface package designed to calculate tree densities based on brightness images, using the local maximum in a sliding window.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://treedensitycalculator.readthedocs.io]]></homepage>
        <file_name>localmaxfilter.1.2.zip</file_name>
        <icon>/media/packages/2020/lmf_logo.png</icon>
        <author_name><![CDATA[Ann Crabbé]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/localmaxfilter/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[annc]]></uploaded_by>
        <create_date>2020-01-14T15:49:34.683613+00:00</create_date>
        <update_date>2020-01-14T16:01:12.290514+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/kul-reseco/localmaxfilter/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/kul-reseco/localmaxfilter/src]]></repository>
        <tags><![CDATA[remote sensing,forestry,tree density,local maxima,sliding window]]></tags>
        <downloads>20403</downloads>
        <average_vote>4.0655071228340525</average_vote>
        <rating_votes>61</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Globe Builder" version="0.4.0" plugin_id="1946">
        <description><![CDATA[This plugin is meant for adding globe visualization to the current map or layout.]]></description>
        <about><![CDATA[This plugin builds a globe from Natural Earth countries GeoJSON and an Azimuthal orthographic projection (&quot;world from space&quot;) projection described &lt;a href=&quot;http://www.statsmapsnpix.com/2019/09/globe-projections-and-insets-in-qgis.html&quot;&gt;here&lt;/a&gt;. This plugin uses &lt;a href=&quot;https://wiki.openstreetmap.org/wiki/Nominatim&quot;&gt;OpenStreetMap Nominatim&lt;/a&gt; geocoding API. The OpenStreetMap data is licensed under &lt;a href=&quot;https://opendatacommons.org/licenses/odbl/&quot;&gt;ODbL license&lt;/a&gt;. Made with Natural Earth. Free vectior and raster map data &lt;a href=&quot;naturalearthdata.com&quot;&gt;naturalearthdata.com&lt;/a&gt;. This plugin lists Sentinel-2 cloudless as an optional data source. Sentinel-2 cloudless data &lt;a href=&quot;https://s2maps.eu/&quot;&gt;https://s2maps.eu/&lt;/a&gt; by EOX IT Services GmbH (Contains modified Copernicus Sentinel data 2017 &amp; 2018) released under &lt;a href=&quot;https://creativecommons.org/licenses/by-nc-sa/4.0/&quot;&gt;Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License&lt;/a&gt;. For commercial usage of Sentinel-2 cloudless please see &lt;a href=&quot;https://cloudless.eox.at&quot;&gt;https://cloudless.eox.at&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GispoCoding/GlobeBuilder]]></homepage>
        <file_name>GlobeBuilder.0.4.0.zip</file_name>
        <icon>/media/packages/2020/icon_s0lGwbV.png</icon>
        <author_name><![CDATA[Gispo Ltd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GlobeBuilder/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[joonala]]></uploaded_by>
        <create_date>2020-01-15T09:24:23.045651+00:00</create_date>
        <update_date>2020-01-24T06:58:29.509699+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GispoCoding/GlobeBuilder/issues]]></tracker>
        <repository><![CDATA[https://github.com/GispoCoding/GlobeBuilder]]></repository>
        <tags><![CDATA[python,world,globe]]></tags>
        <downloads>33193</downloads>
        <average_vote>4.333152785300612</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Wtyczka GIS Support" version="1.2.2" plugin_id="1954">
        <description><![CDATA[GIS Support Plugin is the essential bridge between QGIS and Polish spatial data infrastructure. It gives you one-click access to services and datasets published by Polish public institutions - without leaving QGIS or hunting for URLs.]]></description>
        <about><![CDATA[What it does:
* Cadastral parcel search - find any parcel in Poland by commune, precinct and parcel number using the ULDK service (GUGiK); the parcel boundary is loaded directly onto your map

* Elevation profile - draw a line on the map and instantly generate an elevation chart using the GUGiK NMT API; individual point elevations are also available on click

* National WMS/WFS catalogue - a curated list of country-wide map services (orthophoto, topographic maps, administrative boundaries and more) ready to add in one click - no need to remember or search for service URLs

* WMTS with local tile caching - add tiled map services with configurable on-disk caching so downloaded tiles (e.g. orthophoto) are reused across sessions

* Data downloads - download PRG administrative boundaries (communes, counties, voivodeships), address points and BDOT10k topographic objects for any area of Poland directly from GUGiK

* Digital Elevation Model - bulk download NMT/NMPT raster data published by GUGiK

* Historical map search (Mapster) - browse and preview archival maps covering your current map view

* Usemaps Lite - a built-in cloud workspace for QGIS teams: upload layers to the cloud, share them with colleagues and keep everyone working on the same up-to-date data - no server setup required

The plugin is free, requires no API keys and works on Windows, macOS and Linux. Maintained by GIS Support: https://gis-support.pl.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gis-support/gis-support-plugin]]></homepage>
        <file_name>gissupport_plugin.1.2.2.zip</file_name>
        <icon>/media/packages/2026/icon_pZEaFoL.png</icon>
        <author_name><![CDATA[GIS Support]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gissupport_plugin/version/1.2.2/download/</download_url>
        <uploaded_by><![CDATA[gissupport]]></uploaded_by>
        <create_date>2020-01-23T15:44:31.272706+00:00</create_date>
        <update_date>2020-01-23T15:44:32.291266+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gis-support/gis-support-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/gis-support/gis-support-plugin]]></repository>
        <tags><![CDATA[cloud,wfs,wms,address,dem,topography,elevation,cadastre,cadastral,webservice,download,catalog,basemap,chart,wmts,sharing,bdot10k,basemaps,collaboration]]></tags>
        <downloads>267627</downloads>
        <average_vote>4.004115685472374</average_vote>
        <rating_votes>242</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Open Hazards PH" version="0.1.1" plugin_id="1956">
        <description><![CDATA[A plugin to load publicly available geospatial hazard data created by various agencies in the Philippines.]]></description>
        <about><![CDATA[Open Hazards PH is a QGIS plugin that lets you load geospatial hazard data created by various agencies in the Philippines and uses data stored in https://github.com/maning/open-hazards-ph. More information can be found at https://bnhr.xyz/open-hazards-ph-qgis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://bnhr.xyz/open-hazards-ph-qgis]]></homepage>
        <file_name>open_hazards_ph.0.1.1.zip</file_name>
        <icon>/media/packages/2020/icon_xA1E2VF.png</icon>
        <author_name><![CDATA[BNHR]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/open_hazards_ph/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[rorschach]]></uploaded_by>
        <create_date>2020-01-24T14:33:02.656381+00:00</create_date>
        <update_date>2020-01-27T10:07:21.178139+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/benhur07b/open-hazards-ph-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/benhur07b/open-hazards-ph-qgis]]></repository>
        <tags><![CDATA[web,search,philippines]]></tags>
        <downloads>4675</downloads>
        <average_vote>4.213984715377473</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QWaterModel" version="0.4" plugin_id="1957">
        <description><![CDATA[QWaterModel is a simple tool to calculate evapotranspiration from thermal images.]]></description>
        <about><![CDATA[QWaterModel is a simple tool to calculate evapotranspiration from thermal images. Here is a tutorial: https://ecothermographylab.com/evapotranspiration/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ecothermographylab.com/evapotranspiration/]]></homepage>
        <file_name>qwatermodel.0.4.zip</file_name>
        <icon>/media/packages/2023/icon_oiLoiIJ.png</icon>
        <author_name><![CDATA[Florian Ellsäßer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qwatermodel/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[floell]]></uploaded_by>
        <create_date>2020-01-29T14:08:29.807536+00:00</create_date>
        <update_date>2021-04-19T18:20:33.580634+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FloEll/QWaterModel/issues]]></tracker>
        <repository><![CDATA[https://github.com/FloEll/QWaterModel]]></repository>
        <tags><![CDATA[ecology,raster,water,plant water use,dattutdut,land surface temperatures,energy balance modeling,evapotranspiration,evaporation,transpiration]]></tags>
        <downloads>19099</downloads>
        <average_vote>4.466368908739417</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="xyt" version="0.1" plugin_id="1959">
        <description><![CDATA[Display the temporal dimension of geo data]]></description>
        <about><![CDATA[Display the temporal distribution of the selected layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/edouardklein/xyt]]></homepage>
        <file_name>xyt-master-79dc6f527656ba87e4eb65255227aa043a4d3d3c.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_uUeOh0u.png</icon>
        <author_name><![CDATA[Edouard Klein]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xyt-master-79dc6f527656ba87e4eb65255227aa043a4d3d3c/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[edouardklein]]></uploaded_by>
        <create_date>2020-02-01T09:50:02.185465+00:00</create_date>
        <update_date>2020-02-01T09:50:03.372787+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/edouardklein/xyt/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/edouardklein/xyt]]></repository>
        <tags><![CDATA[time,analysis,statistics]]></tags>
        <downloads>2894</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dimensions Selector" version="0.4" plugin_id="1965">
        <description><![CDATA[Dimensions Selector Plugin]]></description>
        <about><![CDATA[Allow filtering multiple layers on a common field (for example &#x27;floor&#x27;) by selecting one value in an ordered list.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/camptocamp/QGIS-DimensionsSelector/blob/master/README.md]]></homepage>
        <file_name>dimensions_selector.0.4.zip</file_name>
        <icon>/media/packages/2022/icon_FonTvMR.png</icon>
        <author_name><![CDATA[Camptocamp]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dimensions_selector/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[amorvan]]></uploaded_by>
        <create_date>2020-02-07T17:19:05.014201+00:00</create_date>
        <update_date>2022-08-12T11:13:33.340837+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/camptocamp/QGIS-DimensionsSelector/issues]]></tracker>
        <repository><![CDATA[https://github.com/camptocamp/QGIS-DimensionsSelector]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2070</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Preview Mode Plugin" version="0.1.0" plugin_id="1966">
        <description><![CDATA[Adds a toolbar for quickly switching the map preview (color blind) modes.]]></description>
        <about><![CDATA[Having to go through the menu to turn on and off the different Preview
Modes is cumbersome when trying to make changes to colors and check
quickly if the changes work for various color perceptions or for grayscale
printing. Having something right on the screen to toggle the modes
makes it much quicker and easier to find.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raymondnijssen/qgis_preview_mode_plugin]]></homepage>
        <file_name>qgis_preview_mode_plugin.0.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_protanope_DWvcAjV.svg</icon>
        <author_name><![CDATA[Raymond Nijssen, Michele Tobias]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_preview_mode_plugin/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[raymondnijssen]]></uploaded_by>
        <create_date>2020-02-10T22:10:07.321436+00:00</create_date>
        <update_date>2020-02-10T22:10:09.391664+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raymondnijssen/qgis_preview_mode_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/raymondnijssen/qgis_preview_mode_plugin]]></repository>
        <tags><![CDATA[map,color,grayscale,protanope,deuteranope,mono,normal,gray scale,mode,monochrome,blindness,preview,toolbar]]></tags>
        <downloads>1735</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Map Export" version="1.0.2" plugin_id="1977">
        <description><![CDATA[Select a Print Layout, export a PDF, JPG and metadata, zip up the files.]]></description>
        <about><![CDATA[This plugin supports MapAction&#x27;s file upload processes, allowing a zip file to be created for upload to MapAction&#x27;s Maps and Data Catalogue. The plugin creates a new folder (named using the Print Layout name) in a location of the user&#x27;s choice, saves PDF and JPG exports of the Composer into it, creates a metadata XML file in the same location, then zips the folder contents, and saves it alongside the folder. With thanks to Harrissou Sant-Anna (Conseil d&#x27;Architecture, d&#x27;Urbanisme et de l&#x27;Environnement du Maine-et-Loire) for the Maps Printer plugin, on which this was originally based.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mapaction/mapexport-qgis3]]></homepage>
        <file_name>mapexport.1.0.2.zip</file_name>
        <icon>/media/packages/2020/icon_HjdltEh.png</icon>
        <author_name><![CDATA[Ant Scott (MapAction.org)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapexport/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[antonys]]></uploaded_by>
        <create_date>2020-02-22T12:44:41.818336+00:00</create_date>
        <update_date>2020-04-18T12:59:50.478517+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mapaction/mapexport-qgis3/issues]]></tracker>
        <repository><![CDATA[https://github.com/mapaction/mapexport-qgis3]]></repository>
        <tags><![CDATA[map,export,print,metadata,layout]]></tags>
        <downloads>5973</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qtranus" version="1.0.18" plugin_id="1985">
        <description><![CDATA[qtranus]]></description>
        <about><![CDATA[Qtranus is an GUI based on Tranus. Tranus is an integrated land use and transport modeling system, the most advanced, comprehensive, flexible and user friendly of its kind. Use this software to model cities or regions, to estimate the future location of activities, the real estate market, and the multimodal transportation system with freight and/or passengers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sites.google.com/site/tranusmodel/]]></homepage>
        <file_name>QTRANUS.1.0.18.zip</file_name>
        <icon>/media/packages/2026/icon_N2tDyRd.png</icon>
        <author_name><![CDATA[Tomas de la Barra, Luis Yanez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QTRANUS/version/1.0.18/download/</download_url>
        <uploaded_by><![CDATA[delabarra]]></uploaded_by>
        <create_date>2020-02-27T23:06:28.858129+00:00</create_date>
        <update_date>2026-02-28T00:03:28.191908+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TomasdelaBarra/QTRANUS/issues]]></tracker>
        <repository><![CDATA[https://github.com/TomasdelaBarra/QTRANUS]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>8254</downloads>
        <average_vote>4.2938650667607785</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spectral data loader" version="1.21" plugin_id="1993">
        <description><![CDATA[Loads spectral data]]></description>
        <about><![CDATA[Loads spectral data into a layer. Possible to create a customised layer. To be used to import a set of geolocated spe files in a directory or csv-files exported from RSI radassist. The RSI csv files has a three line header and several fields that are to be collected for the spectre field, so it can not be imported using the normal csv-import function.

The spectra can be displayed using the plugin Spectre Viewer.
&lt;b&gt;Usage&lt;/b&gt;
The mission field can be left blank. The text will be used to name a new layer and will be added to the name of any new layer.
For files with data from one detector, spectre2 and dose2, livetime2 and detcount2 will be left blank.

The plugin will also install some new functions to do calculations on spectra for the field calculator. All these functions can be found in the group Gamma]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/qgisspectrereader]]></homepage>
        <file_name>DataLoader.1.21.zip</file_name>
        <icon>/media/packages/2024/icon_ep26HkF.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DataLoader/version/1.21/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2020-03-04T20:35:27.266873+00:00</create_date>
        <update_date>2024-12-13T15:48:58.128739+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/qgisspectrereader]]></tracker>
        <repository><![CDATA[https://github.com/sickel/qgisspectrereader]]></repository>
        <tags><![CDATA[spectrometry,spectral data,gamma]]></tags>
        <downloads>7266</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Altitudecorrector" version="0.2" plugin_id="1995">
        <description><![CDATA[Calculates altitude correction for airborne gamma spectroemtry data]]></description>
        <about><![CDATA[Prepares data to calculate parameters to do an altitude correction using a land / water altitude spiral. It needs the raw data from the flight and a polygon layer defining water and land lines.

Select the data layer and the field that contains the measurements. Then select the field that holds the altitude data. Select the layer defining the water and land part of the altitude spiral, then the field designating water and land and which labels used for land and water. Press &quot;Run&quot; and the data will be processed

The water plot and land plot tabs will show those two data sets to see that the data are correct. The fit data will be found under &quot;Fit data&quot;.

If numpy is not installed, data marked with land and water can be saved to be fitted using other software, e.g. R. See the R-script tab for an example to do the fitting in R

The plugin will install the formula altitudecorr(&quot;valuefield&quot;,&quot;altitudefield&quot;,water0,waterslope,attenuation) -&gt; Value at 1 meter under the group Gamma. Using the parameters calculated by this plugin, the formula can be used for height correction of aerial data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/altitudecorrector]]></homepage>
        <file_name>altitudecorrector.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_Oy2XhHh.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/altitudecorrector/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2020-03-08T18:25:31.729792+00:00</create_date>
        <update_date>2021-03-06T22:40:21.432004+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/altitudecorrector]]></tracker>
        <repository><![CDATA[https://github.com/sickel/altitudecorrector]]></repository>
        <tags><![CDATA[radioactivity,spectrometry,gamma,airborne,contamination]]></tags>
        <downloads>9974</downloads>
        <average_vote>2.8997100289971005</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="COINS - Continuity in Street Networks" version="0.2" plugin_id="2015">
        <description><![CDATA[The plugin generates continuous street strokes based on the deflection angle between consecutive segments.]]></description>
        <about><![CDATA[The contiguous street strokes allow deducing natural continuity of the street network. The details of the workflow are present in the full-length journal article titled:

Tripathy, P., Rao, P., Balakrishnan, K., &amp; Malladi, T. (2020). An open-source tool to extract natural continuity and hierarchy of urban street networks. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/2399808320967680]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PratyushTripathy/COINS/tree/master/QGISplugin]]></homepage>
        <file_name>coins.0.2.zip</file_name>
        <icon>/media/packages/2020/icon_hATcY0R.png</icon>
        <author_name><![CDATA[Pratyush Tripathy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coins/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[pratyush]]></uploaded_by>
        <create_date>2020-03-26T17:00:38.914976+00:00</create_date>
        <update_date>2020-03-29T20:07:55.640878+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PratyushTripathy/COINS/issues]]></tracker>
        <repository><![CDATA[https://github.com/PratyushTripathy/COINS/tree/master/QGISplugin]]></repository>
        <tags><![CDATA[network analysis,street hierarchy,urban streets,COINS]]></tags>
        <downloads>2391</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapMD" version="0.1" plugin_id="2020">
        <description><![CDATA[This plugin uses Map.md API.]]></description>
        <about><![CDATA[This plugin uses Map.md API for street geocoding. Thanks to Simpals company for providing free and unlimited API.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/victor-pogor/map.md-geocoding]]></homepage>
        <file_name>map_md.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_jz2847y.png</icon>
        <author_name><![CDATA[Victor Pogor]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/map_md/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[pogor]]></uploaded_by>
        <create_date>2020-03-30T20:54:28.179775+00:00</create_date>
        <update_date>2020-03-30T20:54:28.933965+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/victor-pogor/map.md-geocoding/issues]]></tracker>
        <repository><![CDATA[https://github.com/victor-pogor/map.md-geocoding]]></repository>
        <tags><![CDATA[python,point,qgis,point.md,simpals,map.md]]></tags>
        <downloads>1397</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Go to XYZ" version="0.3" plugin_id="2024">
        <description><![CDATA[Create a polygon on XYZ or TMS bbox]]></description>
        <about><![CDATA[Generate a bbox for the given xyz]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yoms/go_to_x_y_z]]></homepage>
        <file_name>go_to_xyz.0.3.zip</file_name>
        <icon>/media/packages/2020/icon_hkoF5Mb.png</icon>
        <author_name><![CDATA[Guillaume Hormière]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/go_to_xyz/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[yoms]]></uploaded_by>
        <create_date>2020-04-07T11:30:06.885864+00:00</create_date>
        <update_date>2020-07-17T13:46:57.044945+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yoms/go_to_x_y_z/issues]]></tracker>
        <repository><![CDATA[https://github.com/yoms/go_to_x_y_z]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>6751</downloads>
        <average_vote>3.999428653049564</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lines around Points" version="0.1" plugin_id="2031">
        <description><![CDATA[This plugin creates lines around to a point layer to a given a certain distance and a number of segments]]></description>
        <about><![CDATA[This plugin creates lines around to a point layer to a given a certain distance and a number of segments]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AndresHerrera/LinesAroundPointsPlugin/]]></homepage>
        <file_name>lines_around_point.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_FHM9zUQ.png</icon>
        <author_name><![CDATA[Andres Herrera]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lines_around_point/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[t763rm3n]]></uploaded_by>
        <create_date>2020-04-14T06:04:47.935114+00:00</create_date>
        <update_date>2020-04-14T06:04:49.790861+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AndresHerrera/LinesAroundPointsPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/AndresHerrera/LinesAroundPointsPlugin/]]></repository>
        <tags><![CDATA[python,point,geometry,lines]]></tags>
        <downloads>2472</downloads>
        <average_vote>3.4991252186953257</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OS Grid Reference Expressions" version="0.1" plugin_id="2038">
        <description><![CDATA[Plugin add new functions in expression]]></description>
        <about><![CDATA[This plugin add the functions in expression:
gridReference(geometry)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ianturton/osgridref]]></homepage>
        <file_name>osgb-plugin.0.1.zip</file_name>
        <icon>/media/packages/2020/ibama_expressions_x2lQBr9.svg</icon>
        <author_name><![CDATA[Ian Turton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/osgb-plugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[ianturton]]></uploaded_by>
        <create_date>2020-04-21T13:58:26.842721+00:00</create_date>
        <update_date>2020-04-21T13:58:27.525333+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ianturton/osgridref/issues]]></tracker>
        <repository><![CDATA[https://github.com/ianturton/osgridref]]></repository>
        <tags><![CDATA[osgb,expressions,grid reference]]></tags>
        <downloads>2220</downloads>
        <average_vote>4.461195292669795</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Rectanglify" version="1.0.0" plugin_id="2046">
        <description><![CDATA[Add a digitizing tool which &quot;rectanglifies&quot; selected features of a polygon vector layer]]></description>
        <about><![CDATA[Add a digitizing tool which &quot;rectanglifies&quot; selected features of a polygon vector layer]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/YoannQDQ/rectanglify]]></homepage>
        <file_name>rectanglify.1.0.0.zip</file_name>
        <icon>/media/packages/2020/icon_tioEDQc.png</icon>
        <author_name><![CDATA[Yoann Quenach de Quivillic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rectanglify/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[yquenach]]></uploaded_by>
        <create_date>2020-04-29T19:19:00.749737+00:00</create_date>
        <update_date>2020-04-29T19:19:02.762852+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/YoannQDQ/rectanglify/issues]]></tracker>
        <repository><![CDATA[https://github.com/YoannQDQ/rectanglify]]></repository>
        <tags><![CDATA[vector,python]]></tags>
        <downloads>13295</downloads>
        <average_vote>4.53811245288824</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BHCgeo" version="0.3" plugin_id="2051">
        <description><![CDATA[Calculates the Climatic Water Balance in each pixel]]></description>
        <about><![CDATA[The Climatic Water Balance (CWB or BHC in portuguese) of Thornthwaite and Mather (1955) is a soil water monitoring method that considers the soil as an active ingredient in its calculation as a reservoir that hinders the exit of water as it dries. In periods where the total Precipitation (P) is less than the Potential Evapotranspiration (PET), the retained water becomes a function of this potential demand (P-PET &lt; 0) and of the Available Water Capacity (AWC) used in the calculations. If there is a sequence of periods in this condition, the water retained in the soil will be a sequential function of the accumulated negative values of P - PET, that is, the accumulated potential loss. Therefore, this Plugin needs as input, 12 rasters of P, 12 rasters of ETP and one raster of the AWC, being these 12 rasters one raster for each month of the year.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/romariocarvalhoneto/BHCgeo]]></homepage>
        <file_name>bhcgeoqgis.0.3.zip</file_name>
        <icon>/media/packages/2023/figBHC.png</icon>
        <author_name><![CDATA[Carvalho Neto, R.M. - UFSM; Cruz, J.C. - UFSM; Cruz, R.C. - UNIPAMPA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bhcgeoqgis/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[romariocarvalho]]></uploaded_by>
        <create_date>2020-05-04T19:40:13.725081+00:00</create_date>
        <update_date>2023-04-12T13:34:57.822083+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/romariocarvalhoneto/BHCgeo/issues]]></tracker>
        <repository><![CDATA[https://github.com/romariocarvalhoneto/BHCgeo]]></repository>
        <tags><![CDATA[raster,water,changes,climate,evapotranspiration,real,climatic,bhc,cwb,balance]]></tags>
        <downloads>3799</downloads>
        <average_vote>4.374453193350831</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Weighted Multi-Criteria Analysis - WMCA" version="0.4.2" plugin_id="2069">
        <description><![CDATA[Displays raster’s pixels values to the user, making possible to assign weights for each raster and grades for each class within each raster.]]></description>
        <about><![CDATA[It was developed to perform weighted multi-criteria analysis, especially for environmental analyses like fragilities or favorabilities studies, environmental zoning and other types of zoning.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/romariocarvalhoneto/Weighted-Multi-Criteria-Analysis---WMCA]]></homepage>
        <file_name>multi_criteria.0.4.2.zip</file_name>
        <icon>/media/packages/2023/icon_yLyCiAC.png</icon>
        <author_name><![CDATA[Carvalho Neto, R.M. - UFSM and Benedetti, A.C.P. - UFSM]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/multi_criteria/version/0.4.2/download/</download_url>
        <uploaded_by><![CDATA[romariocarvalho]]></uploaded_by>
        <create_date>2020-05-20T01:49:52.262429+00:00</create_date>
        <update_date>2023-02-07T20:52:57.365447+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/romariocarvalhoneto/Weighted-Multi-Criteria-Analysis---WMCA/issues]]></tracker>
        <repository><![CDATA[https://github.com/romariocarvalhoneto/Weighted-Multi-Criteria-Analysis---WMCA]]></repository>
        <tags><![CDATA[environmental,forestry,multi-criteria,multicritério,zoning,zoneamento,multicriteria,analyses,análise,ambiental]]></tags>
        <downloads>7115</downloads>
        <average_vote>4.368306097207968</average_vote>
        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IMAER Plugin" version="3.0.8" plugin_id="2073">
        <description><![CDATA[Plugin for handling AERIUS and UK Air Pollution Assessment Service (APAS) IMAER files]]></description>
        <about><![CDATA[This plugin is co-developed between the Dutch and British government and supports from version 3.4.1 working with IMAER files for NL AERIUS and UK APAS. IMAER files comply with the international gml standards.

Shared functionality:
- Creates IMAER files for generic sources or road networks to import in AERIUS/APAS based on available GIS information.
- Imports IMAER files with calculation results as QGIS layers.
- Has algorithms to calculate sums, differences and maximums of multiple result layers.

NL AERIUS specific functionality:
- Provides a GUI to the AERIUS Connect API.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/aerius/IMAER-QGIS-plugin/]]></homepage>
        <file_name>ImaerPlugin.3.0.8.zip</file_name>
        <icon>/media/packages/2025/icon_import_calc_result_e9BwSAA.svg</icon>
        <author_name><![CDATA[Raymond Nijssen, AERIUS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ImaerPlugin/version/3.0.8/download/</download_url>
        <uploaded_by><![CDATA[raymondnijssen]]></uploaded_by>
        <create_date>2020-05-29T15:38:43.739244+00:00</create_date>
        <update_date>2021-04-19T12:00:49.491265+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aerius/IMAER-QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/aerius/IMAER-QGIS-plugin/]]></repository>
        <tags><![CDATA[calculator,gml,pollution,connect,imaer,aerius,uk,stikstof,nitrogen,nl,air,apas]]></tags>
        <downloads>11631</downloads>
        <average_vote>4.72684301427143</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Google Earth Engine Data Catalog" version="0.1" plugin_id="2074">
        <description><![CDATA[This QGIS plug-in lets you explore satellite images and geospatial datasets from Google Earth Engine.]]></description>
        <about><![CDATA[Search, view and download satellite imagery and geospatial datasets from Google Earth Engine.

A Google Earth Engine account linked to a Cloud Project is required. Additionally, the EE Python API (earthengine-api) must be installed and authenticated.

To install on Windows (OSGeo4W Shell):

&gt; python -m pip install --upgrade pip
&gt; python -m pip install earthengine-api --user

To install on Linux (Ubuntu based):

$ sudo apt update
$ sudo apt upgrade
$ sudo apt install python3-pip
$ pip3 install earthengine-api --user

To authenticate on QGIS Terminal Python (Ctrl+Alt+P):

&gt;&gt;&gt; import ee
&gt;&gt;&gt; ee.Authenticate()

The Cloud Project name must be assigned to GOOGLE_CLOUD_PROJECT environment variable.
This can be done in QGIS (Settings -&gt; Options -&gt; System -&gt; Environment).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sandroklippel/qgis_gee_data_catalog/wiki]]></homepage>
        <file_name>qgis_gee_data_catalog.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_Mh32V5P.png</icon>
        <author_name><![CDATA[Sandro Klippel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_gee_data_catalog/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[sandroklippel]]></uploaded_by>
        <create_date>2020-05-31T06:54:45.049587+00:00</create_date>
        <update_date>2020-05-31T06:54:46.280681+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/sandroklippel/qgis_gee_data_catalog/issues]]></tracker>
        <repository><![CDATA[https://github.com/sandroklippel/qgis_gee_data_catalog]]></repository>
        <tags><![CDATA[raster,search,export,landsat,google,tms,remote sensing,layers,sentinel]]></tags>
        <downloads>335668</downloads>
        <average_vote>4.191145653340784</average_vote>
        <rating_votes>136</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS2Wegue" version="1.0.0-beta" plugin_id="2075">
        <description><![CDATA[Converts a QGIS project into a Wegue configuration file]]></description>
        <about><![CDATA[Wegue is application template for building webmapping projects. It only requires a single configuration file, which usually is created manually. This plugin takes the layers and the settings of a QGIS project and creates a basic configuration file which can be consumed by Wegue.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/meggsimum/qgis2wegue]]></homepage>
        <file_name>qgis2wegue.1.0.0-beta.zip</file_name>
        <icon>/media/packages/2022/logo_Cehjj11.png</icon>
        <author_name><![CDATA[Jakob Miksch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis2wegue/version/1.0.0-beta/download/</download_url>
        <uploaded_by><![CDATA[jakobmiksch]]></uploaded_by>
        <create_date>2020-05-31T14:35:36.511859+00:00</create_date>
        <update_date>2020-05-31T14:35:37.383743+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/meggsimum/qgis2wegue/issues]]></tracker>
        <repository><![CDATA[https://github.com/meggsimum/qgis2wegue]]></repository>
        <tags><![CDATA[web,openlayers,export,wfs,wms,geojson,wegue,vue.js]]></tags>
        <downloads>14670</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UMEP for processing" version="0.9.1" plugin_id="2079">
        <description><![CDATA[Urban Multi-scale Environmental Predictor (UMEP) for the QGIS processing framework]]></description>
        <about><![CDATA[UMEP for processing toolbox. UMEP is an extensive plugin designed for urban climate in general and climate sensitive planning applications in particular. The plugin consist of a pre-processor, a processor and a post-processor. This plugin is a collaboration between University of Gothenburg, University of Helsinki and University of Reading.

Some of the tools in UMEP requires Python libraries not included in the default QGIS installation. See Section 2.3 in the UMEP homepage.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://umep-docs.readthedocs.io/]]></homepage>
        <file_name>processing_umep.0.9.1.zip</file_name>
        <icon>/media/packages/2023/icon_umep_LVIk0BR.png</icon>
        <author_name><![CDATA[Fredrik Lindberg, Nils Wallenberg, Jeremy Bernard]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_umep/version/0.9.1/download/</download_url>
        <uploaded_by><![CDATA[biglimp]]></uploaded_by>
        <create_date>2020-06-05T14:17:09.198458+00:00</create_date>
        <update_date>2021-02-09T10:45:13.834136+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UMEP-dev/UMEP-processing/issues]]></tracker>
        <repository><![CDATA[https://github.com/UMEP-dev/UMEP-processing]]></repository>
        <tags><![CDATA[modelling,shadow,urban planning,urban climate,urban geometry,urban morphology]]></tags>
        <downloads>38662</downloads>
        <average_vote>4.302899912123875</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Curve Number Generator" version="2.2.1" plugin_id="2080">
        <description><![CDATA[Curve Number Generator plugin has multiple algorithms to generate the curve number layer for any area of interest using different datasets.]]></description>
        <about><![CDATA[Curve Number Generator plugin has multiple algorithms to generate the curve number layer for any area of interest using different datasets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ar-siddiqui/curve_number_generator]]></homepage>
        <file_name>curve_number_generator.2.2.1.zip</file_name>
        <icon>/media/packages/2024/icon_DkQMvYO.png</icon>
        <author_name><![CDATA[Abdul Raheem Siddiqui]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/curve_number_generator/version/2.2.1/download/</download_url>
        <uploaded_by><![CDATA[someone191]]></uploaded_by>
        <create_date>2020-06-06T22:32:17.786921+00:00</create_date>
        <update_date>2024-07-22T03:08:39.452000+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ar-siddiqui/curve_number_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/ar-siddiqui/curve_number_generator]]></repository>
        <tags><![CDATA[soil,hydrology,hsg,curve number,hydrologic soil group,ssurgo,nlcd land cover,cn,scs,impervious surface,esa,worldcover,european space agency,oak ridge national laboratory,ornl]]></tags>
        <downloads>34032</downloads>
        <average_vote>4.565151229692323</average_vote>
        <rating_votes>69</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Open reblock" version="0.1" plugin_id="2086">
        <description><![CDATA[Esimates optimal reblocking given road candidates and target buildings.]]></description>
        <about><![CDATA[Esimates optimal reblocking given road candidates and target buildings. See project repo for description and instructions on required Python libraries.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CooperNederhood/OpenReblock-qgis-plugin]]></homepage>
        <file_name>open_reblock.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_O025s8k.png</icon>
        <author_name><![CDATA[Mansueto Institute for Urban Innovation]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/open_reblock/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[cnederhood]]></uploaded_by>
        <create_date>2020-06-09T14:19:45.917930+00:00</create_date>
        <update_date>2020-06-09T14:19:46.759468+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CooperNederhood/OpenReblock-qgis-plugin]]></tracker>
        <repository><![CDATA[https://github.com/CooperNederhood/OpenReblock-qgis-plugin]]></repository>
        <tags><![CDATA[python,urban development,urban analytics,reblocking]]></tags>
        <downloads>982</downloads>
        <average_vote>0.9990009990009991</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Autocurve" version="0.6-beta.3" plugin_id="2099">
        <description><![CDATA[Automatic cleanup of arcs after editing geometries (convert to curve and harmonize arc centers)]]></description>
        <about><![CDATA[Adds a toggle that automatically runs the convert to curve algorithm after edit commands such as split or merge.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/curved_split_merge]]></homepage>
        <file_name>autocurve.0.6-beta.3.zip</file_name>
        <icon>/media/packages/2023/autocurve_EFFNSKv.svg</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/autocurve/version/0.6-beta.3/download/</download_url>
        <uploaded_by><![CDATA[redl]]></uploaded_by>
        <create_date>2020-06-24T15:59:25.510939+00:00</create_date>
        <update_date>2022-12-20T15:08:29.711238+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/curved_split_merge/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/curved_split_merge]]></repository>
        <tags><![CDATA[vector,python,curves]]></tags>
        <downloads>9729</downloads>
        <average_vote>3.8745156855393077</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Auto Numbering" version="0.2" plugin_id="2105">
        <description><![CDATA[Auto numbering is generating numbers by selected attribute.]]></description>
        <about><![CDATA[Auto numbering is generating numbers by selected attribute.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/berkayoruc/autonumbering]]></homepage>
        <file_name>autonumbering.0.2.zip</file_name>
        <icon>/media/packages/2020/icon_Su0hpcy.png</icon>
        <author_name><![CDATA[Hexa Apps]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/autonumbering/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[orucbe]]></uploaded_by>
        <create_date>2020-07-02T07:13:23.899486+00:00</create_date>
        <update_date>2020-07-02T07:13:25.206395+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/berkayoruc/autonumbering/issues]]></tracker>
        <repository><![CDATA[https://github.com/berkayoruc/autonumbering]]></repository>
        <tags><![CDATA[python,qgis,autonumbering]]></tags>
        <downloads>4178</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FeltTegn" version="1.26" plugin_id="2109">
        <description><![CDATA[Processes archaeological survey data for Danish Museums]]></description>
        <about><![CDATA[This plugin is intended to enable archaeological museums in Denmark to use Qgis to process survey data from excavations. It takes GNSS and total station data as coded text files and generates the appropriate geometries and attributes based on feature codes. It is intended to mirror the functionality of MapDigi for MapInfo, currently used by many of the museums.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/archaeodav/felttegn]]></homepage>
        <file_name>felt_tegn.1.26.zip</file_name>
        <icon>/media/packages/2022/icon_1MmPzDr.png</icon>
        <author_name><![CDATA[David Stott]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/felt_tegn/version/1.26/download/</download_url>
        <uploaded_by><![CDATA[archaeodave]]></uploaded_by>
        <create_date>2020-07-06T07:35:00.837859+00:00</create_date>
        <update_date>2022-08-29T11:26:45.045839+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/archaeodav/felttegn/issues]]></tracker>
        <repository><![CDATA[https://github.com/archaeodav/felttegn]]></repository>
        <tags><![CDATA[python,survey,archeology]]></tags>
        <downloads>7085</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="carte25k" version="0.7" plugin_id="2110">
        <description><![CDATA[Map layout creation with grid and coordinates]]></description>
        <about><![CDATA[This plugin has to be used in order to create automatically a paper map with grid and coordinates, without the different tasks of the manuel way. The default extent will try to fit the canvas extent. The user can chose another map center by first click on the cross and then click on the desired map center. The output CRS can be chosen in the plugin. After le layout creation, the user can open it and modify its settings.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/jbeilin/carte25k]]></homepage>
        <file_name>carte25k.0.7.zip</file_name>
        <icon>/media/packages/2023/icon_gH9Jf88.png</icon>
        <author_name><![CDATA[Jacques Beilin - ENSG-Geomatique]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/carte25k/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[jbeilin]]></uploaded_by>
        <create_date>2020-07-08T16:49:59.076225+00:00</create_date>
        <update_date>2023-01-17T15:04:41.042775+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/jbeilin/carte25k/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/jbeilin/carte25k]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4887</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Plugin QGIS SPT" version="0.1" plugin_id="2121">
        <description><![CDATA[Estimating Land Surface Temperature (LST)]]></description>
        <about><![CDATA[Plugin QGIS SPT is a tool for estimating Land Surface Temperature (LST) using Split-Window Algorithm (SWA) Qin method]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OXWAZZ/Plugin-QGIS-SPT/]]></homepage>
        <file_name>qgis_spt.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_1FlHKnG.png</icon>
        <author_name><![CDATA[Muhammad Rahmahalim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_spt/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[oxwazz]]></uploaded_by>
        <create_date>2020-07-21T14:34:07.332866+00:00</create_date>
        <update_date>2020-07-21T14:34:07.579691+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OXWAZZ/Plugin-QGIS-SPT/issues]]></tracker>
        <repository><![CDATA[https://github.com/OXWAZZ/Plugin-QGIS-SPT/]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2856</downloads>
        <average_vote>4.49925012497917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Coord. AttribuTable" version="0.1" plugin_id="2123">
        <description><![CDATA[Adds points&#x27; coordinates to attribute table, according to the chosen CRS.]]></description>
        <about><![CDATA[This plugin makes easy to get the coordinates of many points into the attribute table, even D°M&#x27;S&quot; format, according to the chosen CRS. It also supports plane coordinates. The coordinates are transformed to the chosen CRS, if different from the original one.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/romariocarvalhoneto/Coord.-AttribuTable]]></homepage>
        <file_name>coord_attributable.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_qXwcO0t.png</icon>
        <author_name><![CDATA[Romário Moraes Carvalho Neto]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coord_attributable/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[romariocarvalho]]></uploaded_by>
        <create_date>2020-07-22T01:50:42.546362+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/romariocarvalhoneto/Coord.-AttribuTable/issues]]></tracker>
        <repository><![CDATA[https://github.com/romariocarvalhoneto/Coord.-AttribuTable]]></repository>
        <tags><![CDATA[attribute,points,table,convert,coordinates,degree,graus,tabela,atributos,pontos,coordenadas]]></tags>
        <downloads>7323</downloads>
        <average_vote>3.999200159968006</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Altibase QGIS Plugin" version="0.1" plugin_id="2128">
        <description><![CDATA[QGIS plugin to transfer of spatial data between QGIS and Altibase servers.]]></description>
        <about><![CDATA[This plugin enables you to the transfer of spatial data between QGIS and Altibase servers.
It requires pyodbc python plugin for Altibase database access.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ALTIBASE/Altibase-QGIS-Plugin]]></homepage>
        <file_name>Altibase-QGIS-Plugin.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_iLIQZop.png</icon>
        <author_name><![CDATA[Altibase Corp.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Altibase-QGIS-Plugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[altibase]]></uploaded_by>
        <create_date>2020-07-29T23:11:30.732702+00:00</create_date>
        <update_date>2020-07-30T02:29:07.911183+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ALTIBASE/Altibase-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ALTIBASE/Altibase-QGIS-Plugin]]></repository>
        <tags><![CDATA[python,database,altibase]]></tags>
        <downloads>3414</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Manejo" version="0.2" plugin_id="2136">
        <description><![CDATA[Managing Forest Areas Under The Power Lines Network]]></description>
        <about><![CDATA[It creates the network line from the network poles as points, creates the necessary layers for the evaluation, helps creating the network surrounding area of influence as a buffer and also the Preservation Areas - PA (APP in Portuguese) for springs and rivers through buffers as well. The analysis considers the managing area inside the network area of influence and the PA, giving a report table with the managing areas inside the PA as well as the areas outside the PA and inside the network area. For more information about the use, click on the help buttons in the plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/romariocarvalhoneto/Manejo]]></homepage>
        <file_name>manejo.0.2.zip</file_name>
        <icon>/media/packages/2020/icon_3OrI20l.png</icon>
        <author_name><![CDATA[Carvalho Neto, R.M. and Sustembio Environmental Services]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/manejo/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[romariocarvalho]]></uploaded_by>
        <create_date>2020-08-06T01:16:33.963518+00:00</create_date>
        <update_date>2020-08-06T01:16:36.100715+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/romariocarvalhoneto/Manejo/issues]]></tracker>
        <repository><![CDATA[https://github.com/romariocarvalhoneto/Manejo]]></repository>
        <tags><![CDATA[lines,buffer,forest,power,areas,manejo,preservation,app,pruning,suppression]]></tags>
        <downloads>1380</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Digitizes in distances from a local coordinate system]]></description>
        <about><![CDATA[Input coordinates relative to a local coordinate system. E.g. when planning modifications of buildings. Make one line cover with the first line defining the x-axis of the local system. The starting point of the first line will be the origin, the difference between the start and the end of the first line defines the direction of the coordinate system. The units are as defined in the CRS of the layer. The work layer should be in the same CRS as the reference layer. The libes in the work layer can be defined either as start and end point, or as a starting point and the angle (as degrees from the y-axis) and the length. If to x and/or to y is left blank, angle and length is used. Type in the definition a line and press &quot;Add line&quot; to add it to the work layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/localdigitizer]]></homepage>
        <file_name>localcoordinates.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_aLPMGK4.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/localcoordinates/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2020-08-06T05:53:26.572926+00:00</create_date>
        <update_date>2020-08-06T05:53:27.303733+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/localdigitizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/sickel/localdigitizer]]></repository>
        <tags><![CDATA[vector digitizer]]></tags>
        <downloads>17127</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GisTools" version="0.1" plugin_id="2138">
        <description><![CDATA[Gis simple tools]]></description>
        <about><![CDATA[The plugin will be help automation of the process of converting several GPX format files to other formats (MapInfo TAB, KML, ESRI Shapefile).
Only needs to select the directory with the GPX files and start the conversion.
A directory with output data will be created in the same directory.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.12.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/aprazdnikov/gistools]]></homepage>
        <file_name>gistools.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_0ExDwfh.png</icon>
        <author_name><![CDATA[Aleksandr Prazdnikov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gistools/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[aprazdnikov]]></uploaded_by>
        <create_date>2020-08-10T08:40:40.345233+00:00</create_date>
        <update_date>2020-08-10T08:40:40.578075+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aprazdnikov/gistools/issues]]></tracker>
        <repository><![CDATA[https://github.com/aprazdnikov/gistools]]></repository>
        <tags><![CDATA[vector,point,export,select,polygon,polyline,table,geometry,processing,layers]]></tags>
        <downloads>33106</downloads>
        <average_vote>4.665889018496917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="arlula" version="1.0.0" plugin_id="2142">
        <description><![CDATA[A user interface between QGIS and the Arlula Satellite Imagery API]]></description>
        <about><![CDATA[[EXPERIMENTAL] arlula plugin]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://arlula.com]]></homepage>
        <file_name>arlula.1.0.0.zip</file_name>
        <icon>/media/packages/2021/icon_3OVkZ7s.png</icon>
        <author_name><![CDATA[Arlula]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arlula/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[arlula]]></uploaded_by>
        <create_date>2020-08-16T03:33:38.135655+00:00</create_date>
        <update_date>2021-03-04T00:35:14.122670+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Arlula/qgis-archive-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Arlula/qgis-archive-plugin]]></repository>
        <tags><![CDATA[python,archive,imagery,api,arlula]]></tags>
        <downloads>4102</downloads>
        <average_vote>4.666277810182485</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GRID" version="1.199" plugin_id="2144">
        <description><![CDATA[GRID: Deal with Field Segmentations Elegantly]]></description>
        <about><![CDATA[Aerial imagery has the potential to advance high-throughput phenotyping for agricultural field experiments. This potential is currently limited by the difficulties of identifying pixels of interest (POI) and performing plot segmentation due to the required intensive manual operations. We developed a Python package, GRID (GReenfield Image Decoder), to overcome this limitation. With pixel-wise K-means cluster analysis, users can specify the number of clusters and choose the clusters representing POI. The plot grid patterns are automatically recognized by the POI distribution. The local optima of POI are initialized as the plot centers, which can also be manually modified for deletion, addition, or relocation. The segmentation of POI around the plot centers is initialized by automated, intelligent agents to define plot boundaries. A plot intelligent agent negotiates with neighboring agents based on plot size and POI distributions. The negotiation can be refined by weighting more on either plot size or POI density. All adjustments are operated in a graphical user interface with real-time previews of outcomes so that users can refine segmentation results based on their knowledge of the fields. The final results are saved in text and image files. The text files include plot rows and columns, plot size, and total plot POI. The image files include displays of clusters, POI, and segmented plots. With GRID, users are completely liberated from the labor-intensive task of manually drawing plot lines or polygons. The supervised automation with GRID is expected to enhance the efficiency of agricultural field experiments.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://poissonfish.github.io/GRID/index.html]]></homepage>
        <file_name>grid.1.199.zip</file_name>
        <icon>/media/packages/2020/icon_sbI1Gdd.png</icon>
        <author_name><![CDATA[Chunpeng James Chen, WSU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/grid/version/1.199/download/</download_url>
        <uploaded_by><![CDATA[thesonatapen]]></uploaded_by>
        <create_date>2020-08-18T22:38:19.703723+00:00</create_date>
        <update_date>2020-08-18T22:53:04.893232+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Poissonfish/GRID/issues]]></tracker>
        <repository><![CDATA[https://github.com/Poissonfish/GRID]]></repository>
        <tags><![CDATA[python; field segmentation; phenomics]]></tags>
        <downloads>3041</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IDEV" version="0.1" plugin_id="2147">
        <description><![CDATA[Non Official plugin about Infraestrutura Valenciana de Datos Espaciales (IDEV)]]></description>
        <about><![CDATA[Infraestructura Valenciana de Dades Espacials. The Valencian Spatial Data Infrastructure (IDEV) was created with the aim of integrating the geographic information of the Generalitat and making it accessible through the internet from the same portal, incorporating interoperable geographic information infrastructures and services. http://www.idev.gva.es/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://idev.gva.es]]></homepage>
        <file_name>idev_visor.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_xQJwQWF.png</icon>
        <author_name><![CDATA[Alfonso Moya Fuero]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/idev_visor/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[alfonsomoyafuero]]></uploaded_by>
        <create_date>2020-08-31T10:10:55.085886+00:00</create_date>
        <update_date>2020-08-31T10:10:55.210357+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AlfonsoMoyaFuero/idev_visor/issues]]></tracker>
        <repository><![CDATA[https://github.com/AlfonsoMoyaFuero/idev_visor]]></repository>
        <tags><![CDATA[python,web,data,cartography,idev,icv,valencia,comunitat valenciana]]></tags>
        <downloads>7508</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenTripPlanner Plugin" version="1.0.1" plugin_id="2153">
        <description><![CDATA[This plugin makes OpenTripPlanner 1.5 functionalities accessible from within QGIS]]></description>
        <about><![CDATA[This Plugin makes OpenTripPlanner 1.5 functionalities accessible from within QGIS. Create Isochrones, Routes and Route-Matrices based on your local or remote OTP v1.5 instance and continue working on the results directly in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mkoenigb]]></homepage>
        <file_name>OpenTripPlannerPlugin.1.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_3RhejPq.png</icon>
        <author_name><![CDATA[Mario Koenigbauer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OpenTripPlannerPlugin/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[mkoenigb]]></uploaded_by>
        <create_date>2020-09-09T19:34:46.199957+00:00</create_date>
        <update_date>2022-03-06T13:02:45.691232+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mkoenigb/OpenTripPlannerPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/mkoenigb/OpenTripPlannerPlugin/]]></repository>
        <tags><![CDATA[routing,transportation,isochrones,otp,opentripplanner,routes]]></tags>
        <downloads>16702</downloads>
        <average_vote>4.299785010749463</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dataset QA Workbench" version="0.7.1" plugin_id="2158">
        <description><![CDATA[A QGIS3 plugin for assisting in dataset quality assurance workflows]]></description>
        <about><![CDATA[This plugin allows loading checklists with steps that should be verified
when doing dataset quality assurance (QA). Checklist items can be automated
by using QGIS Processing algorithms]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kartoza/qgis_dataset_qa_workbench]]></homepage>
        <file_name>dataset_qa_workbench.0.7.1.zip</file_name>
        <icon>/media/packages/2020/clipboard-check-solid.svg</icon>
        <author_name><![CDATA[Ricardo Garcia Silva]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dataset_qa_workbench/version/0.7.1/download/</download_url>
        <uploaded_by><![CDATA[ricardogsilva]]></uploaded_by>
        <create_date>2020-09-18T15:02:13.850382+00:00</create_date>
        <update_date>2020-09-18T15:02:14.057572+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kartoza/qgis_dataset_qa_workbench/issues]]></tracker>
        <repository><![CDATA[https://github.com/kartoza/qgis_dataset_qa_workbench]]></repository>
        <tags><![CDATA[check,control,checklist,qa,assurance,qc,quality,validate]]></tags>
        <downloads>1359</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tester" version="0.3" plugin_id="2160">
        <description><![CDATA[Run automated, manual and semi-automated tests within QGIS]]></description>
        <about><![CDATA[The Tester plugin is a tool to help test QGIS core and plugins&#x27; functionality. It allows to run automatic and semi-automated tests. The first runs without the tester intervention. The second also includes step-by-step instructions to perform manual or verification tasks.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/qcooperative/qgis-tester-plugin]]></homepage>
        <file_name>qgistester.0.3.zip</file_name>
        <icon>/media/packages/2020/plugin_3agML6T.svg</icon>
        <author_name><![CDATA[QCooperative, Victor Olaya (Boundless)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgistester/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[alexbruy]]></uploaded_by>
        <create_date>2020-09-19T13:42:15.071006+00:00</create_date>
        <update_date>2020-11-17T14:42:32.656496+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qcooperative/qgis-tester-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qcooperative/qgis-tester-plugin]]></repository>
        <tags><![CDATA[test,plugins]]></tags>
        <downloads>2115</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="JSON Eater" version="0.2" plugin_id="2162">
        <description><![CDATA[Flexible JSON importer for different structures - GeoJSON format is not required]]></description>
        <about><![CDATA[JSON Eater is a flexible importer for simple point data from several JSON formats and provides qualified guesses without having to convert the JSON formatted data to other formats. Data does not have to be in native GeoJSON format.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis.findvej.dk/]]></homepage>
        <file_name>JSONEater-master.0.2.zip</file_name>
        <icon>/media/packages/2020/eatericon64_ttbadBL.png</icon>
        <author_name><![CDATA[Peter Brodersen, Findvej.dk]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/JSONEater-master/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[findvej]]></uploaded_by>
        <create_date>2020-09-23T18:21:24.236487+00:00</create_date>
        <update_date>2020-10-09T08:50:21.149927+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PeterBrodersen/JSONEater/issues]]></tracker>
        <repository><![CDATA[https://github.com/PeterBrodersen/JSONEater]]></repository>
        <tags><![CDATA[python,import,geojson,json]]></tags>
        <downloads>17234</downloads>
        <average_vote>2.874964062949213</average_vote>
        <rating_votes>80</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="eKMap Server Publisher" version="2.0.2" plugin_id="2168">
        <description><![CDATA[Publisher plugin for eKMap Server]]></description>
        <about><![CDATA[To publish map information to eKMap Server]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://ekgis.com.vn/]]></homepage>
        <file_name>eKMap-Publisher-For-QGIS.2.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[eKGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eKMap-Publisher-For-QGIS/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[ekgis]]></uploaded_by>
        <create_date>2020-10-06T02:12:22.025956+00:00</create_date>
        <update_date>2021-03-17T04:48:16.026981+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eKMap/ekmap-publisher-for-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/eKMap/ekmap-publisher-for-qgis]]></repository>
        <tags><![CDATA[python,shapefile,web,export,geometry]]></tags>
        <downloads>5893</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="pathfinder" version="0.2" plugin_id="2175">
        <description><![CDATA[A QGIS plugin that helps you locate and work with your layer file paths.]]></description>
        <about><![CDATA[Add actions to the layer context menu for copying its source or opening the file location. Customize quoting and separation characters in the pathfinder settings. Shift + Right Click adds a Copy Path command with double backslashes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/freeshrugsxd/qgis-pathfinder]]></homepage>
        <file_name>pathfinder.0.2.zip</file_name>
        <icon>/media/packages/2026/copy.svg</icon>
        <author_name><![CDATA[silvio bentzien]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pathfinder/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[sbentzien]]></uploaded_by>
        <create_date>2020-10-07T17:19:06.479837+00:00</create_date>
        <update_date>2020-11-07T14:33:18.679614+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/freeshrugsxd/qgis-pathfinder/issues]]></tracker>
        <repository><![CDATA[https://github.com/freeshrugsxd/qgis-pathfinder]]></repository>
        <tags><![CDATA[vector,raster,clipboard,show in explorer,copy path]]></tags>
        <downloads>10552</downloads>
        <average_vote>4.764425622022234</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="3D City Builder" version="0.3" plugin_id="2176">
        <description><![CDATA[Generate 3D models of urban areas using DEM.]]></description>
        <about><![CDATA[Create 3D Models of Urban Areas using your files or online databases.
To generate the 3D Model, this plugin uses Aerial Imagery (Satellite Image), DTM (Digital Terrain Model aka DEM, Digital Elevation Model), DSM (Digital Surface Model) and a Footprint layer (the contour of the buildings).

A sample dataset is available to make it easier for you to test this plugin: https://3dcitygen-test-dataset.s3.amazonaws.com/test-dataset-vienna.zip

Opitionally, you can follow the steps under https://landscapearchaeology.org/2018/installing-python-packages-in-qgis-3-for-windows/ to install the following libraries on QGIS Python: geopandas numpy osmnx.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/arthurRuf/3dcitybuilder]]></homepage>
        <file_name>citygen.0.3.zip</file_name>
        <icon>/media/packages/2021/icon_UvVEUaU.png</icon>
        <author_name><![CDATA[Arthur Ruf Hosang da Costa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/citygen/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[arthurhosang]]></uploaded_by>
        <create_date>2020-10-07T19:35:46.141014+00:00</create_date>
        <update_date>2021-07-06T10:17:29.223092+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/arthurRuf/3dcitybuilder/issues]]></tracker>
        <repository><![CDATA[https://github.com/arthurRuf/3dcitybuilder]]></repository>
        <tags><![CDATA[python,water,openstreetmap,osm,dem,dtm,3d,view,river,urban planning,dsm]]></tags>
        <downloads>42713</downloads>
        <average_vote>4.152507182142524</average_vote>
        <rating_votes>118</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Urban Green SARCA" version="0.1.1" plugin_id="2177">
        <description><![CDATA[Plugin for analysis of radioactive contamination of vegetation cover
in (mostly) urban environment]]></description>
        <about><![CDATA[The Urban Green SARCA (USG) module is a  GIS tool created for the
purpose of estimating the deposition of radionuclides on the surface
of vegetation and soil, or in areas without vegetation in the early
phase of a radiation accident. The module makes it possible to
estimate the radioactive contamination of the vegetation cover by
means of satellite images, total radioactivity deposition data and
precipitation amount data during the radiation accident. USG provides
a “first sight” on spatial information of a radioactive contamination
of vegetation and soils within large areas in a very simple way and
thus it is a usable tool for decision makers and authorities in case
of radiation accident. The usage of module is suitable mostly for
areas where the vegetation cover and amount of biomass is not very
well documented, e.g. urban areas.

Outputs:
- Amount of biomass (t/ha)
- Interception factor
- Biomass contamination (Bq/m2)
- Soil contamination (Bq/m2)
- Mass contamination (Bq/kg)
- Mask of hygienic limit exceeding
- Mask of reference levels

QGIS module Urban Green SARCA development was supported by project of
Ministry of the Interior of the Czech Republic No. VH20172020015]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.enki.cz]]></homepage>
        <file_name>UrbanSARCA-master.0.1.1.zip</file_name>
        <icon>/media/packages/2023/icon_3Rj2UVw.png</icon>
        <author_name><![CDATA[Jakub Brom, ENKI o.p.s. Třeboň, University of South Bohemia in České Budějovice, Faculty of Agriculture and Technology, Czech Republic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/UrbanSARCA-master/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[jbosgeouid]]></uploaded_by>
        <create_date>2020-10-08T07:14:54.964343+00:00</create_date>
        <update_date>2020-10-09T06:58:19.614898+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JakubBrom/UrbanSARCA/issues]]></tracker>
        <repository><![CDATA[https://github.com/JakubBrom/UrbanSARCA]]></repository>
        <tags><![CDATA[raster,soil,remote sensing,vegetation,radioactivity,contamination,radioactive accident]]></tags>
        <downloads>6543</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geo value functions" version="0.2" plugin_id="2178">
        <description><![CDATA[Apply a wide selection of functions to cartographic layers.]]></description>
        <about><![CDATA[With this plugin you may apply a wide selection of functions to cartographic layers in order to transform its data into meaning. This technique is used in the context of Indexes composed by several criteria (for example when working with Analytic Hierarchy Process or Analytic Network Process or when making vulnerability indexes). The plugin scales all layers involved into values between 0 and 1, so criteria may be aggregated. This tool is useful for eliciting knowledge from different experts. Fidel Serrano Candela, Laboratorio Nacional de Ciencias de la Sostenibilidad, Instituto de Ecología, Universidad Nacional Autónoma de México]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/serranoycandela/geo_value_functions]]></homepage>
        <file_name>geo_value_functions.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Fidel Serrano Candela]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo_value_functions/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[serranoycandela]]></uploaded_by>
        <create_date>2020-10-09T03:58:04.276612+00:00</create_date>
        <update_date>2021-03-23T16:14:55.878378+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/serranoycandela/geo_value_functions/issues]]></tracker>
        <repository><![CDATA[https://github.com/serranoycandela/geo_value_functions]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1817</downloads>
        <average_vote>4.142265390658477</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ERA5 Data Reader" version="0.1" plugin_id="2184">
        <description><![CDATA[This plugin loads and analyzes evaporation data from the Climate Data Store.]]></description>
        <about><![CDATA[This plugin allows users to download evaporation data through the API from the Climate Data Store (CDS) provided by the Copernicus Climate Change Service (C3S) to be used in hydrological studies. Evaporation data is uploaded into QGIS for further analysis. Also, a point vector layer is provided with an attribute table displaying statistical data for each pixel. Data are available from 1979 to present. To use the plugin, please note that a user ID and API key are required. Users can obtain their unique ID and key through logging in to the CDS (https://cds.climate.copernicus.eu/#!/home). The cdsapi python module is required to install the plugin. It is a third party module and can be installed using the OSGEO4W Shell by running the following three lines of code: py3_env, python -m ensurepip --default-pip, python -m pip install cdsapi]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ElafSeif/ERA5DataReader]]></homepage>
        <file_name>era5_data_reader.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_XL2jUKF.png</icon>
        <author_name><![CDATA[Elaf Seif]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/era5_data_reader/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[48905]]></uploaded_by>
        <create_date>2020-10-11T07:33:44.994522+00:00</create_date>
        <update_date>2020-10-11T07:33:45.439057+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ElafSeif/ERA5DataReader/issues]]></tracker>
        <repository><![CDATA[https://github.com/ElafSeif/ERA5DataReader]]></repository>
        <tags><![CDATA[python,netcdf,api,evaporation,cds,climate reanalysis,c3s]]></tags>
        <downloads>3229</downloads>
        <average_vote>4.399706686220918</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SpatialDataPackageExport" version="0.1.0" plugin_id="2190">
        <description><![CDATA[Spatial Data Package Export plugin]]></description>
        <about><![CDATA[Plugin to export layers to spatial data packages according to &lt;a href=&quot;https://frictionlessdata.io/&quot;&gt;Frictionless Data Standard&lt;/a&gt; compatible with the &lt;a href=&quot;https://github.com/cividi/spatial-data-package-platform&quot;&gt;Spatial Data Package Platform&lt;/a&gt; developed by &lt;a href=&quot;https://cividi.ch&quot;&gt;Cividi GmbH&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cividi/spatial-data-package-export]]></homepage>
        <file_name>SpatialDataPackageExport.0.1.0.zip</file_name>
        <icon>/media/packages/2021/icon-highres.png</icon>
        <author_name><![CDATA[Gispo Ltd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SpatialDataPackageExport/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[thorbenw]]></uploaded_by>
        <create_date>2020-10-14T21:14:47.886790+00:00</create_date>
        <update_date>2020-10-14T21:14:48.428244+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cividi/spatial-data-package-export/issues]]></tracker>
        <repository><![CDATA[https://github.com/cividi/spatial-data-package-export]]></repository>
        <tags><![CDATA[export,frictionless,gemeindescan,datapackage]]></tags>
        <downloads>5974</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CWSI" version="0.1" plugin_id="2192">
        <description><![CDATA[CWSI is a QGIS3 plugin that helps to calculate the CWSI (crop water stress index) from thermal images.]]></description>
        <about><![CDATA[CWSI plugin is a tool to calculate the CWSI (crop water stress index) from thermal images. Here is a tutorial: https://ecothermographylab.com/crop-water-stress-index-cwsi/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ecothermographylab.com/crop-water-stress-index-cwsi/]]></homepage>
        <file_name>cwsi.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_aGWQkJu.png</icon>
        <author_name><![CDATA[Florian Ellsäßer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cwsi/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[floell]]></uploaded_by>
        <create_date>2020-10-18T17:16:04.342665+00:00</create_date>
        <update_date>2020-10-18T17:16:04.640948+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FloEll/CWSI/issues]]></tracker>
        <repository><![CDATA[https://github.com/FloEll/CWSI]]></repository>
        <tags><![CDATA[ecology,raster,water,plant water use,land surface temperatures,thermal image,drought,cwsi,crop water stress index,crop]]></tags>
        <downloads>7366</downloads>
        <average_vote>4.23044381201446</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BGT Inlooptool" version="1.0" plugin_id="2193">
        <description><![CDATA[BGT Inlooptool]]></description>
        <about><![CDATA[Bereken afwateringskenmerken BGT vlakken.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/bgtinlooptool/#plugin-about]]></homepage>
        <file_name>bgtinlooptool.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_K8ow9z7.png</icon>
        <author_name><![CDATA[Emile de Badts, Leendert van Wolfswinkel, Chris Kerklaan, Ruben van der Zaag, Sjon van Dijk, Reinout van Rees, Emma Oosterveld]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bgtinlooptool/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[emiledebadts]]></uploaded_by>
        <create_date>2020-10-19T13:06:13.890708+00:00</create_date>
        <update_date>2021-08-23T10:01:42.192093+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nens/bgt-inlooptool/issues]]></tracker>
        <repository><![CDATA[https://github.com/nens/bgt-inlooptool/]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>9182</downloads>
        <average_vote>4.856795943146918</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Terminus" version="0.1" plugin_id="2202">
        <description><![CDATA[Image Segmentation]]></description>
        <about><![CDATA[A plugin to perform Image Segmentation. It requires the installation of Scikit-image Python library. For more information please visit https://github.com/ikotarid/Terminus.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ikotarid/Terminus]]></homepage>
        <file_name>terminus_processing.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_wjKubo8.png</icon>
        <author_name><![CDATA[Ioannis Kotaridis and Maria Lazaridou]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/terminus_processing/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[ikotarid]]></uploaded_by>
        <create_date>2020-10-26T21:43:53.347557+00:00</create_date>
        <update_date>2020-10-26T21:43:53.619099+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ikotarid/Terminus/issues]]></tracker>
        <repository><![CDATA[https://github.com/ikotarid/Terminus]]></repository>
        <tags><![CDATA[python,remote sensing,obia,image segmentation]]></tags>
        <downloads>5315</downloads>
        <average_vote>4.633617488935753</average_vote>
        <rating_votes>101</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DeepLearningTools" version="0.2.0" plugin_id="2205">
        <description><![CDATA[QGIS plugin to aid training Deep Learning Models]]></description>
        <about><![CDATA[QGIS plugin to aid training Deep Learning Models]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dsgoficial/DeepLearningTools/wiki]]></homepage>
        <file_name>DeepLearningTools.0.2.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Brazilian Army Geographic Service]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DeepLearningTools/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[phborba]]></uploaded_by>
        <create_date>2020-10-27T17:29:01.393424+00:00</create_date>
        <update_date>2021-03-08T23:11:31.032708+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dsgoficial/DeepLearningTools/issues]]></tracker>
        <repository><![CDATA[https://github.com/phborba/DeepLearningTools]]></repository>
        <tags><![CDATA[python,deep learning]]></tags>
        <downloads>4731</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ValueMap to Lizmap" version="0.3" plugin_id="2212">
        <description><![CDATA[This plugin creates a table layer with all the ValueMap items of the project to be used as input for a js script which shows description instead of code in Lizmap attribute tables]]></description>
        <about><![CDATA[This plugin retrieves all codes and labels from columns with ValueMap widget and compiles a table layer added to the QGIS project.
The table layer has four text columns named: fieldname, cod, label and layer and it is automatically created and added to the QGIS project.
This table is then used by the valueMap_in_attributeTable.js file in order to show descriptions instead of lables in Lizmap attribute tables.
The resulting table layer must be added to lizmap web client as WFS layer.
Moreover the script automatically put the valueMap_in_attributeTable.js in the proper folder i.e. media/js/project_name/.
If these folders do not exist, they are automatically created.
The valueMap_in_attributeTable.js only works for fields of type text with Lizmap 3.3. Numerical fields will be supported starting from Lizmap 3.4.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gtergeomatica/valuemap_2_lizmap]]></homepage>
        <file_name>valuemap_2_lizmap-main.0.3.zip</file_name>
        <icon>/media/packages/2022/icon_IoRcl35.png</icon>
        <author_name><![CDATA[Roberta Fagandini - Roberto Marzocchi - Rossella Ambrosino]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/valuemap_2_lizmap-main/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[robifag]]></uploaded_by>
        <create_date>2020-11-11T16:09:04.878539+00:00</create_date>
        <update_date>2022-11-29T14:41:06.918226+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/gtergeomatica/valuemap_2_lizmap/issues]]></tracker>
        <repository><![CDATA[https://github.com/gtergeomatica/valuemap_2_lizmap]]></repository>
        <tags><![CDATA[web,attribute,attribute table,table,field,lizmap,widget,value map]]></tags>
        <downloads>2307</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OSM Data Sync" version="0.3.1" plugin_id="2213">
        <description><![CDATA[Maintain an own local dataset whith local attributes while keeping it in sync with OpenStreetMap (OSM)]]></description>
        <about><![CDATA[This plugin allows a user to maintain an own local spatial vector dataset, which is strongly related to OpenStreetMap (OSM), while keeping it in sync with OSM.
The dataset is being defined as an Overpass query and the dataset can contain additional, local features and features can contain additional attributes.

The plugin has two main functions:

• Iterate forth and back through the features of the layer (similar to Go2NextFeature).
• Synchronize the local dataset with OSM data on user demand, which means, that it flags updated and deleted features and that it downloads new features.

The plugin requires a simple configuration (.osmds) which is a sidecar file to the local dataset (e.g. a GeoPackage) and uses an Overpass API to retrieve the OSM data.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/geometalab/OSMDataSync/-/blob/master/README.md]]></homepage>
        <file_name>OSMDataSync.0.3.1.zip</file_name>
        <icon>/media/packages/2026/icon_pI2tWtH.png</icon>
        <author_name><![CDATA[Christopher Hilfing, Hanna Wildermuth, Stefan Keller]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OSMDataSync/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[geometalab]]></uploaded_by>
        <create_date>2020-11-13T10:20:08.064716+00:00</create_date>
        <update_date>2026-03-03T13:21:00.733276+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/geometalab/OSMDataSync/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geometalab/OSMDataSync/]]></repository>
        <tags><![CDATA[vector,python,openstreetmap,osm,synchronization,integration,data sync]]></tags>
        <downloads>9160</downloads>
        <average_vote>3.999333444425929</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Go2NextFeaturePlus" version="3.1.1" plugin_id="2214">
        <description><![CDATA[Allows jumping from a feature to another following an attribute order]]></description>
        <about><![CDATA[This plugin allows to select a layer and jump from a feature to the next. It is possible to select an attribute of the layer (e.g. name) which defines the ordering.
Besides the Pan function there&#x27;s a Pan and Zoom function for polygons and lines and other options.
In addition to the mentioned functionality it is also possible to set and persist a state (&quot;fixed&quot;, &quot;already fixed&quot;, &quot;no issue&quot;, &quot;unknown&quot; or &quot;undefined&quot;) of each feature. For this the layer needs to be updatable (which excludes e.g. formats like CSV or GeoJSON which need to be converted e.g. to GeoPackage).]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/geometalab/Go2NextFeaturePlus]]></homepage>
        <file_name>Go2NextFeaturePlus.3.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_U0Z5EKR.png</icon>
        <author_name><![CDATA[Diego Fantino, Christopher Hilfing, Hanna Wildermuth, Stefan Keller, Alberto De Luca (for Tabacco Editrice)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Go2NextFeaturePlus/version/3.1.1/download/</download_url>
        <uploaded_by><![CDATA[geometalab]]></uploaded_by>
        <create_date>2020-11-16T10:47:48.937948+00:00</create_date>
        <update_date>2026-03-03T12:03:14.835528+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/geometalab/Go2NextFeaturePlus/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geometalab/Go2NextFeaturePlus]]></repository>
        <tags><![CDATA[vector,python,openstreetmap,osm,reconciliation]]></tags>
        <downloads>8749</downloads>
        <average_vote>4.110654371736474</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS core tests" version="0.3" plugin_id="2215">
        <description><![CDATA[QGIS core tests for Tester plugin]]></description>
        <about><![CDATA[Set of tests for QGIS core functionality meant to be run with the Tester plugin.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/qcooperative/qgis-core-tests]]></homepage>
        <file_name>coretests.0.3.zip</file_name>
        <icon>/media/packages/2020/plugin_0swVREl.svg</icon>
        <author_name><![CDATA[QCooperative, Victor Olaya (Boundless)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coretests/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[alexbruy]]></uploaded_by>
        <create_date>2020-11-17T14:42:51.124348+00:00</create_date>
        <update_date>2020-12-14T14:00:56.214481+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qcooperative/qgis-core-tests/issues]]></tracker>
        <repository><![CDATA[https://github.com/qcooperative/qgis-core-tests]]></repository>
        <tags><![CDATA[test,plugins]]></tags>
        <downloads>1576</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Diversity Calculator" version="0.5" plugin_id="2216">
        <description><![CDATA[Calculates biodiversity indexes (Richness, Shannons, and Simpsons)]]></description>
        <about><![CDATA[Given a set of areas (polygons) and a set of species observations (points), this plugin will calculate a set of common biodiversity indices.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://korimageo.com/plugins/diversity_calc]]></homepage>
        <file_name>diversity_calc.0.5.zip</file_name>
        <icon>/media/packages/2020/icon_5dGCkE1.png</icon>
        <author_name><![CDATA[Miller Mountain LLC]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/diversity_calc/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[lstomsl]]></uploaded_by>
        <create_date>2020-11-19T10:01:11.880758+00:00</create_date>
        <update_date>2020-11-19T10:01:12.995254+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lstomsl/qgis-diversity-calc/issues]]></tracker>
        <repository><![CDATA[https://github.com/lstomsl/qgis-diversity-calc]]></repository>
        <tags><![CDATA[calculator,vector,ecology,analysis,statistics,landscape,biodiversity,diversity]]></tags>
        <downloads>2433</downloads>
        <average_vote>3.076804738279297</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FMI2QGIS" version="0.1.2" plugin_id="2217">
        <description><![CDATA[Plugin to view and download Finnish Meteorological Institute&#x27;s open data]]></description>
        <about><![CDATA[This plugin is used to view and download &lt;a href=&quot;https://en.ilmatieteenlaitos.fi/&quot;&gt;Finnish Meteorological Institute&#x27;s&lt;/a&gt; (later FMI) &lt;a href=&quot;https://en.ilmatieteenlaitos.fi/open-data&quot;&gt;open data&lt;/a&gt;. By downloading and using the FMI open data, you approve to the Finnish Meteorological Institute&#x27;s open data &lt;a href=&quot;https://en.ilmatieteenlaitos.fi/open-data-licence&quot;&gt;license&lt;/a&gt; (CC BY 4.0). This software has been developed initially as a part of UIA-HOPE innovation competition organized by &lt;a href=&quot;https://forumvirium.fi/en/&quot;&gt;Forum Virium&lt;/a&gt; and that has been financially supported by the European Union&#x27;s &lt;a href=&quot;https://www.uia-initiative.eu/en&quot;&gt;Urban Innovative Actions&lt;/a&gt; (UIA) Initiative and its &lt;a href=&quot;https://www.uia-initiative.eu/en/uia-cities/helsinki&quot;&gt;Healthy Outdoor Premises for Everyone&lt;/a&gt; project (HOPE).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GispoCoding/FMI2QGIS]]></homepage>
        <file_name>FMI2QGIS.0.1.2.zip</file_name>
        <icon>/media/packages/2021/icon_hr_YJ1TXsF.png</icon>
        <author_name><![CDATA[Gispo Ltd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FMI2QGIS/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[joonala]]></uploaded_by>
        <create_date>2020-11-19T13:48:23.500138+00:00</create_date>
        <update_date>2020-12-08T11:52:07.414229+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GispoCoding/FMI2QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/GispoCoding/FMI2QGIS]]></repository>
        <tags><![CDATA[wfs,wms,netcdf,weather,fmi,storedquery,meteorology]]></tags>
        <downloads>6222</downloads>
        <average_vote>4.099590040995901</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Delft3D Flexible Mesh" version="0.1" plugin_id="2219">
        <description><![CDATA[This plugin allows opening and saving of .xyz/.pli/.pol-files.]]></description>
        <about><![CDATA[This plugin allows opening and saving of .xyz/.pli/.pol-files. These are input files for models of the numerical modelling Delft3D Flexible Mesh by Deltares.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jurjendejong/QGIS3_Delft3D_FM]]></homepage>
        <file_name>QGIS3_Delft3D_FM.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_rQG5Q3F.png</icon>
        <author_name><![CDATA[Jurjen de Jong, Deltares]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS3_Delft3D_FM/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jurjendejong]]></uploaded_by>
        <create_date>2020-11-20T07:03:22.850306+00:00</create_date>
        <update_date>2020-11-20T07:03:23.393884+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jurjendejong/QGIS3_Delft3D_FM]]></tracker>
        <repository><![CDATA[https://github.com/jurjendejong/QGIS3_Delft3D_FM]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8056</downloads>
        <average_vote>3.999733351109926</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TocTable" version="1.1" plugin_id="2223">
        <description><![CDATA[Produces a temporary table with the TOC contents or with selected layer fields details]]></description>
        <about><![CDATA[Produces a summary table with data and metadata of the project layers (not all but the most significant ones) or a table with fields details of selected layer]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Korto19/TocTable#toctable]]></homepage>
        <file_name>TocTable-main.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_7d8zgwA.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TocTable-main/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2020-11-24T11:39:56.806146+00:00</create_date>
        <update_date>2020-11-24T16:29:56.373328+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Korto19/TocTable/issues]]></tracker>
        <repository><![CDATA[https://github.com/Korto19/TocTable]]></repository>
        <tags><![CDATA[python,fields,processing,plugin,toctable,details]]></tags>
        <downloads>4991</downloads>
        <average_vote>4.666277810182485</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CalcOnfield" version="1.1" plugin_id="2224">
        <description><![CDATA[Calculus on field - Calcoli su campo]]></description>
        <about><![CDATA[Calculations on fields such as Progressive, Average, Moving Average, Weighted Average Index, Percentage, Percentage Variation

Calcoli sui campi quali Progressiva, Media, Media Mobile, Indice Media Ponderata, Percentuale, Variazione Percentuale]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Korto19/CalcOnField#calconfield]]></homepage>
        <file_name>CalcOnField-main.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_DM4shMX.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CalcOnField-main/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2020-11-24T11:41:05.793501+00:00</create_date>
        <update_date>2020-11-24T16:33:24.814247+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Korto19/CalcOnField/issues]]></tracker>
        <repository><![CDATA[https://github.com/Korto19/CalcOnField]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>5520</downloads>
        <average_vote>4.181438051086265</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HTML Generator" version="1.1" plugin_id="2225">
        <description><![CDATA[HTML pages generator - Genera pagine HTML]]></description>
        <about><![CDATA[Produces an HTML page from a layer or a table, optionally also multipage by selecting only the field in the filter

Produce una pagina HTML da un layer o una tabella, opzionalmente anche multipagina selezionando solo il campo nel filtro]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Korto19/HTML_Generator#html-generator]]></homepage>
        <file_name>HTML_Generator-main.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_VEDlYzk.png</icon>
        <author_name><![CDATA[Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/HTML_Generator-main/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[gifattor]]></uploaded_by>
        <create_date>2020-11-24T11:43:15.516591+00:00</create_date>
        <update_date>2020-11-24T16:31:35.695128+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Korto19/HTML_Generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Korto19/HTML_Generator]]></repository>
        <tags><![CDATA[html,python,css]]></tags>
        <downloads>10302</downloads>
        <average_vote>4.31223048559465</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Actions for relations" version="1.1.992" plugin_id="2236">
        <description><![CDATA[Actions for relations (batch insert, show children)]]></description>
        <about><![CDATA[Show children or batch insert children on a layer selection]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis-actions-for-relations]]></homepage>
        <file_name>actions_for_relations.1.1.992.zip</file_name>
        <icon>/media/packages/2021/icon_TA1cHsp.svg</icon>
        <author_name><![CDATA[Denis Rouzaud]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/actions_for_relations/version/1.1.992/download/</download_url>
        <uploaded_by><![CDATA[3nids]]></uploaded_by>
        <create_date>2020-12-04T07:47:42.257362+00:00</create_date>
        <update_date>2021-02-12T14:23:35.524090+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis-actions-for-relations/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis-actions-for-relations]]></repository>
        <tags><![CDATA[relation,action]]></tags>
        <downloads>24014</downloads>
        <average_vote>3.954365710649516</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Placekey - Address Matching and Entity Resolution" version="0.91" plugin_id="2237">
        <description><![CDATA[adds placekeys to your data]]></description>
        <about><![CDATA[IMPORTANT NOTE: Currently only fully supported for Addresses and POIs based in the US and Canada.&lt;br&gt;&lt;br&gt;Solve tough problems related to address matching, POI matching, address normalization, validation, deduplication, and entity resolution with the free Placekey Connector. Placekey is a free, universal identifier for physical places.&lt;ul&gt;&lt;li&gt;&lt;a href=&quot;https://www.youtube.com/watch?v=MD0khQxYaZE&amp;feature=emb_title&quot;&gt;How to Use This Plugin (Video)&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://www.placekey.io/blog/introducing-the-placekey-qgis-plugin&quot;&gt;Placekey Blog&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://docs.placekey.io/&quot;&gt;Placekey API Documentation&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://github.com/riccardoklinger/placekey/blob/master/readme.md&quot;&gt;Plugin Documentation&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;br&gt;Use this plugin to perform the following:&lt;br&gt;&lt;br&gt;&lt;b&gt;ADDRESS AND POI MATCHING&lt;/b&gt;&lt;br&gt;&lt;br&gt;If you are drawing address and/or POI-oriented data from multiple different places, Placekey allows you to match them together easily. Placekey can act as an alternative to a spatial join, letting you join on the Placekey attribute. This significantly reduces the downsides of spatial joins - these include geocodes on top of each other in apartment buildings or offices, densely-placed geocodes in urban areas, and street-level versus rooftop-level geocodings.&lt;br&gt;&lt;br&gt;&lt;b&gt;ADDRESS NORMALIZATION&lt;/b&gt;&lt;br&gt;&lt;br&gt;By resolving messy input address formats, Placekey removes the need to first normalize your addresses and POIs when joining them with other data. The Placekey API ensures that the same place will receive the same Placekey, even if it is referenced using multiple names and/or address conventions.&lt;br&gt;&lt;br&gt;&lt;b&gt;ADDRESS AND POI DEDUPLICATION&lt;/b&gt;&lt;br&gt;&lt;br&gt;Placekey can help you remove duplicate rows in your dataset, even if their address and POI formats differ. Just Placekey all of your rows and drop duplicates of the Placekey attribute.&lt;br&gt;&lt;br&gt;&lt;b&gt;EVALUATE ADDRESS DATA QUALITY&lt;/b&gt;&lt;br&gt;&lt;br&gt;The Placekey API compares your address and POI data against multiple authoritative sources of truth in order to generate a unique Placekey for each place in your dataset. Overall data quality can be ascertained by appending Placekeys and looking at the match rate.&lt;br&gt;&lt;br&gt;Learn more at &lt;a href=&quot;https://placekey.io&quot;&gt;Placekey.io&lt;/a&gt;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/riccardoklinger/placekey]]></homepage>
        <file_name>placekey.0.91.zip</file_name>
        <icon>/media/packages/2021/icon_rfaW7aJ.png</icon>
        <author_name><![CDATA[Riccardo Klinger]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/placekey/version/0.91/download/</download_url>
        <uploaded_by><![CDATA[riccardoklinger]]></uploaded_by>
        <create_date>2020-12-04T20:56:13.902900+00:00</create_date>
        <update_date>2020-12-05T14:53:00.351627+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/riccardoklinger/placekey/issues]]></tracker>
        <repository><![CDATA[https://github.com/riccardoklinger/placekey]]></repository>
        <tags><![CDATA[address validation,address correction,address verification,data conflation,poi matching,address normalization,deduplication,address standardization,address parsing,company name matching,company name normalization,business name matching,company name standardization,address matching]]></tags>
        <downloads>3706</downloads>
        <average_vote>4.586127825382321</average_vote>
        <rating_votes>58</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Line similarity" version="0.2" plugin_id="2247">
        <description><![CDATA[Calculate similarity between 2 lines]]></description>
        <about><![CDATA[This script measures shape similarity between line geometries 2-by-2, independently of translation, scale or rotation. It takes 2 line layers as input, and their id field. Lines from each layer with same id get compared, and similarity measures using different statistical tests are computed. Output is a CSV with the statistical results and p-values, and 2 CSV with the data used to compute the tests (one for each layer). Statistical tests used are Spearman, Student and Wilcoxon. Thanks to Grégoire Le Campion (UMR Passages, CNRS) for his input on statistics ! This plugin is added in processing, in a provider called shape analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/juliepierson/qgis_line_similarity]]></homepage>
        <file_name>line_similarity.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Julie Pierson, UMR 6554 LETG, CNRS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/line_similarity/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[jpierson]]></uploaded_by>
        <create_date>2020-12-10T14:37:24.486545+00:00</create_date>
        <update_date>2021-01-06T22:41:56.257967+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/juliepierson/qgis_line_similarity]]></tracker>
        <repository><![CDATA[https://github.com/juliepierson/qgis_line_similarity]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1103</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NGIS-OpenAPI Klient" version="0.55" plugin_id="2252">
        <description><![CDATA[This addon enables users to commit changes to the Norwegian base map (SFKB) using NGIS-OpenAPI]]></description>
        <about><![CDATA[[English]
Authenticated users may add, replace or delete objects from SFKB using NGIS-OpenAPI
[Norsk]
Dette programtillegget muliggjør at autentiserte brukere av NGIS-OpenAPI kan laste ned tilgjengelige datasett og ajourføre kartobjekter direkte i SFKB.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kartverket/SFKB-QGISAPI-klient]]></homepage>
        <file_name>ngis.0.55.zip</file_name>
        <icon>/media/packages/2021/icon_t06rIFW.png</icon>
        <author_name><![CDATA[Norconsult Digital AS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ngis/version/0.55/download/</download_url>
        <uploaded_by><![CDATA[andreasbaa]]></uploaded_by>
        <create_date>2020-12-11T12:03:11.453109+00:00</create_date>
        <update_date>2024-04-05T17:03:24.442635+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kartverket/SFKB-QGISAPI-klient/issues]]></tracker>
        <repository><![CDATA[https://github.com/kartverket/SFKB-QGISAPI-klient]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>4379</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="gpap Data Extract" version="0.1" plugin_id="2255">
        <description><![CDATA[Extract data from Geopaparazzi-Smash database]]></description>
        <about><![CDATA[Extract data from Geopaparazzi/Smash database, that is saved on tables, for now we are extracting specifically from notes table]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geociencio/gpapext]]></homepage>
        <file_name>gpapext.0.1.zip</file_name>
        <icon>/media/packages/2020/icon_hQzoIFu.png</icon>
        <author_name><![CDATA[Juan Bernales]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gpapext/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[geocincio]]></uploaded_by>
        <create_date>2020-12-15T10:48:29.255996+00:00</create_date>
        <update_date>2020-12-15T10:48:29.440047+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geociencio/gpapext/issues]]></tracker>
        <repository><![CDATA[https://github.com/geociencio/gpapext/]]></repository>
        <tags><![CDATA[database,export,csv]]></tags>
        <downloads>1247</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DEM Drainage Analyses" version="0.2" plugin_id="2263">
        <description><![CDATA[This plugin performs specific DEM analyses on drainage sites.]]></description>
        <about><![CDATA[This plugin performs specific DEM analyses on drainage sites.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FVW-Services/DEM_drainage_analyses]]></homepage>
        <file_name>dem_drainage_analyses.0.2.zip</file_name>
        <icon>/media/packages/2022/icon_g4VkXAL.png</icon>
        <author_name><![CDATA[FALASY Anamelechi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dem_drainage_analyses/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[fvwservices]]></uploaded_by>
        <create_date>2020-12-31T07:42:37.150270+00:00</create_date>
        <update_date>2022-01-14T20:08:04.175537+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FVW-Services/DEM_drainage_analyses/issues]]></tracker>
        <repository><![CDATA[https://github.com/FVW-Services/DEM_drainage_analyses]]></repository>
        <tags><![CDATA[python,raster,dem,csv,lidar,drainage analyses,boundary extraction,resample]]></tags>
        <downloads>6509</downloads>
        <average_vote>3.499416763872688</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Copernicus Global Land QGIS plugin" version="2.0" plugin_id="2264">
        <description><![CDATA[This plugin allows to download Copernicus Global Land products (Land Cover, NDVI, FAPAR, ...). Requires Pandas library.]]></description>
        <about><![CDATA[This plugin allows to download Copernicus Global Land products (Land Cover, NDVI, FAPAR, ...).Requires Pandas library.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fgianoli/copernicus_tools]]></homepage>
        <file_name>cgl_tools.2.0.zip</file_name>
        <icon>/media/packages/2022/cgl.png</icon>
        <author_name><![CDATA[Federico Gianoli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cgl_tools/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[fritz4]]></uploaded_by>
        <create_date>2021-01-02T17:34:08.319059+00:00</create_date>
        <update_date>2022-11-04T10:29:20.082519+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fgianoli/copernicus_tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/fgianoli/CopernicusGlobalLand/tree/master/cgl_tools]]></repository>
        <tags><![CDATA[land cover,sentinel,ndvi,copernicus,resample,probav,fapar,wad,global land,dmp,npp]]></tags>
        <downloads>11763</downloads>
        <average_vote>3.703635117868188</average_vote>
        <rating_votes>54</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Graphab" version="0.5.2" plugin_id="2270">
        <description><![CDATA[Graphab for QGIS]]></description>
        <about><![CDATA[This plugin allows you to model easily ecological networks with landscape graphs in QGIS without opening the Graphab software. Java must be installed on your computer before using this plugin. You may found open source Java installer on https://adoptopenjdk.net]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sourcesup.renater.fr/www/graphab/]]></homepage>
        <file_name>graphab4qgis.0.5.2.zip</file_name>
        <icon>/media/packages/2024/icon_QygzwFP.png</icon>
        <author_name><![CDATA[Robin Marlin-Lefebvre, Gilles Vuidel, Gaspard Quentin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/graphab4qgis/version/0.5.2/download/</download_url>
        <uploaded_by><![CDATA[gvuidel]]></uploaded_by>
        <create_date>2021-01-06T08:13:10.935957+00:00</create_date>
        <update_date>2021-01-27T07:45:06.710447+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab-mshe.univ-fcomte.fr/thema/graphab4qgis/issues]]></tracker>
        <repository><![CDATA[https://gitlab-mshe.univ-fcomte.fr/thema/graphab4qgis]]></repository>
        <tags><![CDATA[graphab,landscape graph,ecological network]]></tags>
        <downloads>11863</downloads>
        <average_vote>4.636152902140812</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NapkinGIS – Deploy" version="1.0" plugin_id="2271">
        <description><![CDATA[Deploy your QGIS projects to NapkinGIS]]></description>
        <about><![CDATA[Plugin for deploying your QGIS projects to the NapkinGIS publishing platform. NapkinGIS is an online platform for publishing QGIS projects, making them available in a web-based map-view or for editing in a field app on mobile devices. &lt;a href=&quot;https://web.napkingis.no&quot;&gt;Link&lt;/a&gt; , &lt;a href=&quot;https://web.napkingis.no&quot;&gt;Demo&lt;/a&gt; , &lt;a href=&quot;https://www.napkingis.no/about.html&quot;&gt;Learn more&lt;/a&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.napkingis.com]]></homepage>
        <file_name>napkingis-deploy-plugin.1.0.zip</file_name>
        <icon>/media/packages/2021/icon_hMTlWYh.png</icon>
        <author_name><![CDATA[NapkinGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/napkingis-deploy-plugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[andreas98]]></uploaded_by>
        <create_date>2021-01-10T21:04:28.617142+00:00</create_date>
        <update_date>2021-01-10T21:04:29.007945+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NapkinGIS/NapkinGIS-QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/NapkinGIS/NapkinGIS-QGIS-plugin]]></repository>
        <tags><![CDATA[web,napkingis]]></tags>
        <downloads>732</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FHR Data" version="0.1" plugin_id="2276">
        <description><![CDATA[This plugin allows you to access the UK food hygiene rating data by parsing the API]]></description>
        <about><![CDATA[QGIS plugin which parse the UK food hygiene rating data API available at https://ratings.food.gov.uk/open-data/en-GB and allows to download the businesses locations with relative information as points in CSV format.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dfmalacarne/QGIS_FHR_data]]></homepage>
        <file_name>FHR_data.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_8cE8x5d.png</icon>
        <author_name><![CDATA[Diego F Malacarne]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FHR_data/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[dfmalacarne88]]></uploaded_by>
        <create_date>2021-01-11T18:01:57.249820+00:00</create_date>
        <update_date>2021-01-11T18:01:57.767600+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dfmalacarne/QGIS_FHR_data/issues]]></tracker>
        <repository><![CDATA[https://github.com/dfmalacarne/QGIS_FHR_data]]></repository>
        <tags><![CDATA[api xml geodata]]></tags>
        <downloads>656</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layman" version="1.59" plugin_id="2278">
        <description><![CDATA[Layman]]></description>
        <about><![CDATA[This plugin is client for Layman server, that provides WFS, WMS services. There is possible create map compositions, store metadata, sigle layers and load back by WMS or WFS. Plugin support OAuth2 autorization and read/write permissions for every layer/composition.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://hub.plan4all.eu/qgis]]></homepage>
        <file_name>Layman.1.59.zip</file_name>
        <icon>/media/packages/2024/icon_2pv6bcs.png</icon>
        <author_name><![CDATA[jan vrobel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Layman/version/1.59/download/</download_url>
        <uploaded_by><![CDATA[5]]></uploaded_by>
        <create_date>2021-01-13T16:41:50.285034+00:00</create_date>
        <update_date>2021-02-11T16:57:19.912511+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LESPROJEKT/qgis-layman-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/LESPROJEKT/qgis-layman-plugin/tree/master]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7664</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TopoJSON Writer" version="0.1" plugin_id="2279">
        <description><![CDATA[Write vector layers to TopoJson]]></description>
        <about><![CDATA[Write vector layers to TopoJson.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bogind/topojson_writer]]></homepage>
        <file_name>topojson_writer.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_ZIpUoQX.png</icon>
        <author_name><![CDATA[Dror Bogin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/topojson_writer/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[bogind]]></uploaded_by>
        <create_date>2021-01-14T07:22:40.542490+00:00</create_date>
        <update_date>2021-01-14T07:22:40.957625+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bogind/topojson_writer/issues]]></tracker>
        <repository><![CDATA[https://github.com/bogind/topojson_writer]]></repository>
        <tags><![CDATA[python,geojson,topojson]]></tags>
        <downloads>11010</downloads>
        <average_vote>3.77543315442542</average_vote>
        <rating_votes>49</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ANYWAYS Plugin" version="3.4.2" plugin_id="2280">
        <description><![CDATA[This plugin enables integration between QGIS and ANYWAYS.]]></description>
        <about><![CDATA[This plugin automates ANYWAYS Routing API by:
-Taking a set of Points of Interest (POIs) and returning routings between all of them based on a given routing profile
-Taking two sets of POIs as Origins and Destinations and returning routings from all origins to all Destinations based on a given routing profile]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.anyways.eu/]]></homepage>
        <file_name>anyways_impact_toolbox.3.4.2.zip</file_name>
        <icon>/media/packages/2026/icon_GOg3i4J.png</icon>
        <author_name><![CDATA[ANYWAYS BV]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/anyways_impact_toolbox/version/3.4.2/download/</download_url>
        <uploaded_by><![CDATA[xivk]]></uploaded_by>
        <create_date>2021-01-15T16:34:07.988298+00:00</create_date>
        <update_date>2026-03-11T15:08:33.205054+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/anyways-open/qgis-plugins/issues]]></tracker>
        <repository><![CDATA[https://github.com/anyways-open/qgis-plugins]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>14042</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CZML Billboard Maker" version="0.5" plugin_id="2281">
        <description><![CDATA[Creates Billboards from a point vector layer.]]></description>
        <about><![CDATA[You can convert your point vector layers into a CZML file to visualize them as billboards in Cesium environment by using this QGIS plugin. \n CZML brief definition from official guide: &quot;CZML is a JSON format for describing a time-dynamic graphical scene, primarily for display in a web browser running Cesium. It describes lines, points, billboards, models, and other graphical primitives, and specifies how they change with time. &quot; \n * * https://github.com/AnalyticalGraphicsInc/czml-writer/wiki/CZML-Guide]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/muratkendir/CZMLBillboardMaker]]></homepage>
        <file_name>CZMLBillboardMaker.0.5.zip</file_name>
        <icon>/media/packages/2023/icon_4g0QjkX.png</icon>
        <author_name><![CDATA[Murat Kendir]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CZMLBillboardMaker/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[muratkendir]]></uploaded_by>
        <create_date>2021-01-17T01:38:41.843939+00:00</create_date>
        <update_date>2021-08-20T23:29:02.686019+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/muratkendir/CZMLBillboardMaker/issues]]></tracker>
        <repository><![CDATA[https://github.com/muratkendir/CZMLBillboardMaker]]></repository>
        <tags><![CDATA[python czml cesium billboard gltf]]></tags>
        <downloads>3443</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Point selection algorithms" version="0.2.2" plugin_id="2282">
        <description><![CDATA[Calculates different measures for selecting points, e.g., the discrete isolation, functional importance and label grid]]></description>
        <about><![CDATA[This plugin contains tools for the calculation of measures to select points in the process of cartographic generalization. Generally, it helps to find the local maximum or minimum. This function is also useable for analytic purposes.
Calculates the discrete isolation distance for points with numerical attributes. The concept is similar to topographic isolation. Still, it uses only the points and not the terrain as continuous surfaces. The isolation is the distance from one point to the closest point with a higher attribute value. As attribute value can be used, e.g., the elevation (for peaks) or the population (for populated places). By graduating the points by the isolation, you can reach nearly spatially equally distributed point visualization, which can also be combined with other attributes.
As another approach, the functional importance method from Hormann is implemented. In this case, the population and a diameter create a function compared with all points. The difference of function values is stored in the attribute table. If the value is greater than zero, the point should be shown and graduate by the values.
The label grid function ranks the points, ordering from highest to lowest, value in each grid cell. First used by MapBox and implemented in PostgreSQL/PostGIS, now in QGIS. The grid stays invisible and is created by the tool. Besides, it is also to use this function with an own grid or any kind of polygon. At least there is an option to calculate the distance to the nearest point (Nearest Neighbor) without considering any numerical values.
For further details, please see: https://link.springer.com/10.1007/s42489-021-00079-y]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MathiasGroebe/point_selection]]></homepage>
        <file_name>point_selection.0.2.2.zip</file_name>
        <icon>/media/packages/2021/point_selection_icon_rO6MKWr.png</icon>
        <author_name><![CDATA[Mathias Gröbe]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/point_selection/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[mathiasgroebe]]></uploaded_by>
        <create_date>2021-01-17T16:13:31.878788+00:00</create_date>
        <update_date>2021-02-24T13:54:32.788206+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MathiasGroebe/point_selection/issues]]></tracker>
        <repository><![CDATA[https://github.com/MathiasGroebe/point_selection]]></repository>
        <tags><![CDATA[selection,point,analysis,generalization]]></tags>
        <downloads>7000</downloads>
        <average_vote>3.4991252186953257</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Smart-Map" version="1.1" plugin_id="2284">
        <description><![CDATA[Interpolation using Ordinary Kriging and Machine Learning (Support Vector Machine). Generate Management Zones.]]></description>
        <about><![CDATA[This Plugin allows the user to import data from a QGIS Layer. Generate the experimental semivariogram and theoretical semivariograms such as: Linear, Spherical, Exponential and Gaussian. Generate the interpolation using the Ordinary Kriging and Machine Learning method. Generate management zones.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gustavowillam/SmartMapPlugin]]></homepage>
        <file_name>Smart_Map.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_dpTaqth.png</icon>
        <author_name><![CDATA[Gustavo Willam Pereira (IFSUDESTE-MG);Domingos Sárvio Magalhães Valente (UFV);Daniel Marçal de Queiroz (UFV);André Luiz de Freitas Coelho (UFV);Sandro Manuel Carmelino Hurtado (UFU);Marcelo Marques Costa (UFJ)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Smart_Map/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[gustavowillam]]></uploaded_by>
        <create_date>2021-01-19T02:11:44.134399+00:00</create_date>
        <update_date>2021-08-16T16:05:56.727494+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gustavowillam/SmartMapPlugin]]></tracker>
        <repository><![CDATA[https://github.com/gustavowillam/SmartMapPlugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>149465</downloads>
        <average_vote>4.574686352377285</average_vote>
        <rating_votes>174</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BDTopo Importer" version="0.2" plugin_id="2285">
        <description><![CDATA[Import facile des couches de la BDTopo dans une base de données PostGIS]]></description>
        <about><![CDATA[Facilite l&#x27;import des données de la BDTopo de l&#x27;IGN dans une base de données PostGIS.
Permet de traiter plusieurs couches et et d&#x27;ajouter les données à des tables existantes.
Peut utiliser les fichiers compressés directement (nécessite d&#x27;installer 7zip ou le package
python py7zr)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/aroche/bdtopo_importer]]></homepage>
        <file_name>bdtopo_importer.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_1bQDoNt.png</icon>
        <author_name><![CDATA[Augustin Roche]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bdtopo_importer/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[aroche]]></uploaded_by>
        <create_date>2021-01-19T14:15:07.967901+00:00</create_date>
        <update_date>2021-01-19T14:15:10.550187+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aroche/bdtopo_importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/aroche/bdtopo_importer]]></repository>
        <tags><![CDATA[python,import,france,ign]]></tags>
        <downloads>1837</downloads>
        <average_vote>4.599080183963207</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DB Style Reloader" version="0.3" plugin_id="2286">
        <description><![CDATA[Database Style Reloader]]></description>
        <about><![CDATA[Reloads default QGIS Layer-Styles from PostgreSQL. Reloading will overwrite the current active styles of the QGIS-project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/thbaumann/qgis_db_style_reloader/wiki]]></homepage>
        <file_name>db_style_reloader.0.3.zip</file_name>
        <icon>/media/packages/2021/icon_PAv7TLx.png</icon>
        <author_name><![CDATA[Thomas Baumann]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/db_style_reloader/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[tbaumann]]></uploaded_by>
        <create_date>2021-01-24T19:14:39.090858+00:00</create_date>
        <update_date>2021-01-24T19:14:41.194998+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/thbaumann/qgis_db_style_reloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/thbaumann/qgis_db_style_reloader]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1350</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Element table" version="0.3" plugin_id="2292">
        <description><![CDATA[This plugin lets to set/unset visibility of layer with chemical data with a help of element table widget]]></description>
        <about><![CDATA[When dealing with geochemical maps it is quite cumbersome to use the layer tree (TOC).
This is where this plugin comes to help.
The plugin parses the names of layers and tracks layers where name contains single element name(s) or/and abbreviation(s).
For interacting with layers (checking/ unchecking for visibility) it presents the chemical table widget.
Currently it supports Polish and English element names.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sem-geologist/qgis-element-table]]></homepage>
        <file_name>qgis-element-table.0.3.zip</file_name>
        <icon>/media/packages/2021/pt-colorful_m4zHJ16.svg</icon>
        <author_name><![CDATA[Petras Jokubauskas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-element-table/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[granite]]></uploaded_by>
        <create_date>2021-02-03T12:51:37.359857+00:00</create_date>
        <update_date>2021-02-04T13:24:00.269216+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sem-geologist/qgis-element-table/issues]]></tracker>
        <repository><![CDATA[https://github.com/sem-geologist/qgis-element-table]]></repository>
        <tags><![CDATA[ecology,python,geology,environment,geochemistry,chemistry]]></tags>
        <downloads>1643</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OS search for addresses" version="1.1" plugin_id="2298">
        <description><![CDATA[Search for addresses if you have an OS API Key]]></description>
        <about><![CDATA[This is proof of concept and provided as is with not warranty. The plugin should allow you to use your OS API key to search for addresses.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/paulwithy/QGIS-OS-Address-Search]]></homepage>
        <file_name>addresssearch.1.1.zip</file_name>
        <icon>/media/packages/2021/icon_DTVL2ql.png</icon>
        <author_name><![CDATA[Paul Withington]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/addresssearch/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[paulwithy]]></uploaded_by>
        <create_date>2021-02-07T09:47:00.362063+00:00</create_date>
        <update_date>2021-02-16T21:35:51.422106+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/paulwithy/QGIS-OS-Address-Search/issues]]></tracker>
        <repository><![CDATA[https://github.com/paulwithy/QGIS-OS-Address-Search]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>6015</downloads>
        <average_vote>3.571173487608028</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ElasticSearchConnector" version="0.1" plugin_id="2299">
        <description><![CDATA[Connector to a Elasticsearch datastore]]></description>
        <about><![CDATA[Connect to a ElasticSearch datastore]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.17.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/spatialys/QGISElasticSearchConnector]]></homepage>
        <file_name>QGISElasticSearchConnector.0.1.zip</file_name>
        <icon>/media/packages/2021/elasticsearchconnector_icon.png</icon>
        <author_name><![CDATA[Even Rouault]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGISElasticSearchConnector/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[rouault]]></uploaded_by>
        <create_date>2021-02-08T15:06:00.092333+00:00</create_date>
        <update_date>2021-02-08T15:06:00.395367+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/spatialys/QGISElasticSearchConnector/issues]]></tracker>
        <repository><![CDATA[https://github.com/spatialys/QGISElasticSearchConnector]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>845</downloads>
        <average_vote>3.5992801439712054</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UniqueValuesViewer" version="0.2" plugin_id="2301">
        <description><![CDATA[A QGIS plugin to display and copy the unique values of a vector layer field]]></description>
        <about><![CDATA[This plugin is designed as a simple widget to display the unique attribute values of vector layers. The values can be searched, copied and corresponding features can be selected.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.2.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mblesius/unique_values_viewer]]></homepage>
        <file_name>unique_values_viewer.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_bJARm8l.png</icon>
        <author_name><![CDATA[Malik Blesius]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/unique_values_viewer/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mblesius]]></uploaded_by>
        <create_date>2021-02-08T17:53:05.648699+00:00</create_date>
        <update_date>2021-04-06T18:37:05.592899+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mblesius/unique_values_viewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/mblesius/unique_values_viewer]]></repository>
        <tags><![CDATA[python,experimental,values]]></tags>
        <downloads>1364</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HTML Table Exporter" version="0.1" plugin_id="2303">
        <description><![CDATA[Exports a table as an HTML table with photos which can later be converted into a Word document.  Perfect for organising site visit photos.]]></description>
        <about><![CDATA[The plugin exports a vector table to an HTML table. Each feature will be a row and referenced photos will be rendered within the HTML table. The table can then be opened in MS Word and exported as word document. Useful for quickly preparing your site visit reports with photos taken using Input and Mergin.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.lutraconsulting.co.uk/blog/2021/02/10/batch-exporting-site-visit-photos-to-word/]]></homepage>
        <file_name>html_table_exporter.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_O1RdIYl.png</icon>
        <author_name><![CDATA[Lutra Consulting]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/html_table_exporter/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[wellsp]]></uploaded_by>
        <create_date>2021-02-09T13:39:11.860204+00:00</create_date>
        <update_date>2021-02-09T13:39:12.174608+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lutraconsulting/qgis-html-table-exporter/issues]]></tracker>
        <repository><![CDATA[https://github.com/lutraconsulting/qgis-html-table-exporter]]></repository>
        <tags><![CDATA[html,export,photos,input,mergin]]></tags>
        <downloads>8539</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Turbo Volume" version="0.1" plugin_id="2312">
        <description><![CDATA[This plugin calculate volume from raster]]></description>
        <about><![CDATA[This plugin calculate volume from raster]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.kngk.agh.edu.pl/?page_id=273]]></homepage>
        <file_name>turbo_volume.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_Kfy0OFt.png</icon>
        <author_name><![CDATA[KNGK GEOINFORMATYKA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/turbo_volume/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[kngkgeoinformatyka]]></uploaded_by>
        <create_date>2021-02-10T13:07:58.673739+00:00</create_date>
        <update_date>2021-02-10T13:07:59.001280+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kaemer1645/Turbo_Volume/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kaemer1645/Turbo_Volume]]></repository>
        <tags><![CDATA[python,raster,dem,volume]]></tags>
        <downloads>1814</downloads>
        <average_vote>4.749406324209474</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Calculate Similarity Map" version="0.1.2" plugin_id="2316">
        <description><![CDATA[Calculate score of similarity using GOF MapCurve]]></description>
        <about><![CDATA[This plugin use Mapcurves Algorithm (Hargrove et al. 2006) https://doi.org/10.1007/s10109-006-0025-x. This plugin have 3 method, there are Squential, Nearest Neighbour, and Wilkerstat. Wilkerstat Method using primary key on attribute table you can check the structure in https://sig.bps.go.id/. You can distribute or modifying this plugin freely but you must cite MapCurve journals and this plugin. Further information you can contact Pandu at email pandu.wicaksono@bps.go.id or panickspa@gmail.com.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/panickspa/SimilarityPlugin]]></homepage>
        <file_name>similarity_plugin.0.1.2.zip</file_name>
        <icon>/media/packages/2025/icon-24_QKxgiOT.png</icon>
        <author_name><![CDATA[Pandu Wicaksono and Takdir]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/similarity_plugin/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[panicks]]></uploaded_by>
        <create_date>2021-02-12T07:44:09.473118+00:00</create_date>
        <update_date>2025-07-20T13:03:37.006719+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/panickspa/SimilarityPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/panickspa/SimilarityPlugin.git]]></repository>
        <tags><![CDATA[python,similarity]]></tags>
        <downloads>1831</downloads>
        <average_vote>4.36323970548132</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Inclinometry calculator" version="0.2" plugin_id="2317">
        <description><![CDATA[Plugin for inclinometry processing]]></description>
        <about><![CDATA[This tool calc inclinometry, exports result txt-file and creates shp file with horizontal projection wellbore]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mikkoartik.github.io/InclinometryPlugin/]]></homepage>
        <file_name>inclinometry_calc.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_n9YhfRB.png</icon>
        <author_name><![CDATA[Michael Chernov]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/inclinometry_calc/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mikkoartic]]></uploaded_by>
        <create_date>2021-02-15T11:42:32.686365+00:00</create_date>
        <update_date>2021-02-16T10:00:54.169134+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MikkoArtik/InclinometryPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/MikkoArtik/InclinometryPlugin]]></repository>
        <tags><![CDATA[well,wellbore,inclinometry]]></tags>
        <downloads>4470</downloads>
        <average_vote>4.331889370209931</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SVG Embeddor" version="0.2" plugin_id="2319">
        <description><![CDATA[embedding all SVG symbols into a Projectfile]]></description>
        <about><![CDATA[SVG embedder, embedding SVG into the QGIS Projectfile. Can import several SVG style files within two clicks. The Projectfile can be opened from another QGIS, without installing the used SVG&#x27;s.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DocOC86/embedding_svg_projectfile]]></homepage>
        <file_name>embedding_svg.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_TAUX552.png</icon>
        <author_name><![CDATA[d.b.g. Datenbankgesellschaft (Rick Brüning)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/embedding_svg/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[rickb]]></uploaded_by>
        <create_date>2021-02-17T14:22:15.849011+00:00</create_date>
        <update_date>2021-02-17T14:22:17.175251+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DocOC86/embedding_svg_projectfile/issues]]></tracker>
        <repository><![CDATA[https://github.com/DocOC86/embedding_svg_projectfile]]></repository>
        <tags><![CDATA[svg,python,base64,embedding]]></tags>
        <downloads>2782</downloads>
        <average_vote>3.5996400359964005</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Floor plan filter" version="0.2" plugin_id="2328">
        <description><![CDATA[This plugin assists drawing 2D (indoor) maps on different floor levels. It applies a query filter to the different map layers involved (configurable) to visualize individual floor plans on different floor levels. Floor level decrement/increment as well as direct values are supported for selecting the current working level.]]></description>
        <about><![CDATA[This plugin applies a query filter to multiple map layers to visualize their contents on individual floor plans.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rbraggaar/floor-plan-filter]]></homepage>
        <file_name>floor_plan_filter.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_RtigebJ.png</icon>
        <author_name><![CDATA[Rob Braggaar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/floor_plan_filter/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[rbraggaar]]></uploaded_by>
        <create_date>2021-02-23T10:00:50.903509+00:00</create_date>
        <update_date>2023-02-15T16:26:31.205189+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rbraggaar/floor-plan-filter/issues]]></tracker>
        <repository><![CDATA[https://github.com/rbraggaar/floor-plan-filter]]></repository>
        <tags><![CDATA[floor plan,floor level,indoor mapping]]></tags>
        <downloads>1386</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MiMiGIS" version="1.0.1" plugin_id="2329">
        <description><![CDATA[This plugin contains tools for teaching introductory QGIS.]]></description>
        <about><![CDATA[This plugin contains tools for teaching introductory QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GIS4DEV/MiMiGIS]]></homepage>
        <file_name>MiMiGIS.1.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Maja Cannavo and Joseph Holler]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MiMiGIS/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[josephholler]]></uploaded_by>
        <create_date>2021-02-24T01:02:12.962393+00:00</create_date>
        <update_date>2021-04-09T15:09:11.821973+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GIS4DEV/MiMiGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/GIS4DEV/MiMiGIS]]></repository>
        <tags><![CDATA[dissolve,direction,group,azimuth,svg icons]]></tags>
        <downloads>3037</downloads>
        <average_vote>4.24946881639795</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Custom SVG" version="0.1" plugin_id="2330">
        <description><![CDATA[Plugin to allow customization of SVG symbols in QGIS]]></description>
        <about><![CDATA[This plugin copies SVGs and adapts them so that they can be customizable symbols in QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CyprienAn/CustomSVG]]></homepage>
        <file_name>CustomSVG.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_QsBIfM6.png</icon>
        <author_name><![CDATA[Cyprien Antignac]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CustomSVG/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[cypriena]]></uploaded_by>
        <create_date>2021-02-25T10:17:19.086965+00:00</create_date>
        <update_date>2021-02-25T10:17:19.309495+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CyprienAn/CustomSVG/issues]]></tracker>
        <repository><![CDATA[https://github.com/CyprienAn/CustomSVG]]></repository>
        <tags><![CDATA[svg,python,symbols]]></tags>
        <downloads>5162</downloads>
        <average_vote>4.832527912014664</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RasterMCDA" version="1.3" plugin_id="2331">
        <description><![CDATA[Plugin implementing MCDA calculations, for raster datasets.
RasterMCDA was implemented during my Bachelor studies in Geoinformation at the Carinthia University of Applied Science.
This was the first time for me implementing a QGIS Plugin.
Plugin and online documentation are WORK IN PROGRESS
Link to online documentation:
https://github.com/awallner-WallE/RasterMCDA-QGIS_Plugin
Most of the implemented functions are based on: Malczewski, J. (1999) GIS and Multicriteria Decision Analysis. John Wiley and Sons, Inc., New York.]]></description>
        <about><![CDATA[Plugin implementing MCDA, for raster datasets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/awallner-WallE/RasterMCDA-QGIS_Plugin]]></homepage>
        <file_name>raster_mcda.1.3.zip</file_name>
        <icon>/media/packages/2023/icon_ykbez79.png</icon>
        <author_name><![CDATA[Wallner Andreas Georg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raster_mcda/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[awallnerwalle]]></uploaded_by>
        <create_date>2021-02-26T10:10:46.568825+00:00</create_date>
        <update_date>2023-05-15T05:47:28.471444+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/awallner-WallE/RasterMCDA-QGIS_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/awallner-WallE/RasterMCDA-QGIS_Plugin]]></repository>
        <tags><![CDATA[python,raster,mcda,owa,wlc,weighting,ip,decision rule]]></tags>
        <downloads>4459</downloads>
        <average_vote>3.6360330879011</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Short Path" version="0.1" plugin_id="2332">
        <description><![CDATA[Find shortest path between points based on line (network) layer.]]></description>
        <about><![CDATA[This plugin is for finding shortest path between two point layers based on one line layer used as a network layer. Plugin was inspired by water utility network maintenance process where Loggers are sensors and Leaks are faults on the pipeline. Pipe network - line layer (should have attributes like a pipe diameter, pipe material, etc) Leak - point layer (should have ID, Logger ID, lat, long attributes) Logger - point layer (should have ID, lat, long attributes) For the path finding is used Dijkstra&#x27;s algorithm and output is a new memory line layer with same attributes as a network layer plus full length attribute. Download test layers package here:  https://github.com/rewaza/rewaza.github.io/blob/main/shortpath/test_net.zip]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://rewaza.github.io/shortpath]]></homepage>
        <file_name>short_path.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_P6yVwmu.png</icon>
        <author_name><![CDATA[Revaz Gviniashvili]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/short_path/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[rewaza]]></uploaded_by>
        <create_date>2021-02-26T17:54:29.052859+00:00</create_date>
        <update_date>2021-02-26T17:54:30.645635+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rewaza/shortpath/issues]]></tracker>
        <repository><![CDATA[https://github.com/rewaza/shortpath]]></repository>
        <tags><![CDATA[calculator,point,analysis,network analysis,routing,network,line,processing]]></tags>
        <downloads>2837</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PostGIS Queries" version="0.2" plugin_id="2338">
        <description><![CDATA[Processing plugin-based provider that adds scripts to execute PostGIS queries using the built-in script &quot;gdal:executesql&quot;. | Provedor do Processing que inclui scripts para executar consultas do PostGIS usando o script &quot;gdal:executesql&quot;.]]></description>
        <about><![CDATA[The scripts are intended to solve common spatial problems, such as finding dangles and pseudonodes in a line layer. To execute the scripts, at least one layer with a connection to the PostGIS database must be passed. Depending on the script, other parameters may be required.

-------------------------------------------------------------------------------------------------------------------------------------

Os scripts adicionados procuram resolver problemas espaciais comuns, como achar dangles ou pseudonós em uma camada tipo linha. Para executar os scripts, pelo menos uma camada com conexão ao PostGIS precisa ser passada. Dependendo do script, são requeridos ainda outros parâmetros.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcelgaucho/PostGISQueries]]></homepage>
        <file_name>PostGISQueries.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Marcel Rotunno (IBGE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PostGISQueries/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[marcelrotunno]]></uploaded_by>
        <create_date>2021-03-02T21:38:20.642844+00:00</create_date>
        <update_date>2021-03-19T23:17:21.099218+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcelgaucho/PostGISQueries/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcelgaucho/PostGISQueries]]></repository>
        <tags><![CDATA[postgis,queries,processing,provider,ibge]]></tags>
        <downloads>6548</downloads>
        <average_vote>2.7493126718320418</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Area Weighted Average" version="0.1" plugin_id="2339">
        <description><![CDATA[Area Weighted Average.]]></description>
        <about><![CDATA[This plugin performs spatial area weighted average analysis on an input polygon layer given an attribute in the overlay polygon layer. Each feature in the input layer will be assigned a spatial area weighted average value of the overlay field. A report of the analysis is generated as a GIS Layer and as HTML.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.6.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ar-siddiqui/area_weighted_average]]></homepage>
        <file_name>area_weighted_average.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_Y3TGLvz.png</icon>
        <author_name><![CDATA[Abdul Raheem Siddiqui]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/area_weighted_average/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[someone191]]></uploaded_by>
        <create_date>2021-03-04T06:11:09.351181+00:00</create_date>
        <update_date>2021-03-04T06:11:09.702570+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ar-siddiqui/area_weighted_average/issues]]></tracker>
        <repository><![CDATA[https://github.com/ar-siddiqui/area_weighted_average]]></repository>
        <tags><![CDATA[analysis,report,spatial,area,spatial join,overlap,average,weighted,mean,zonal statistics]]></tags>
        <downloads>24105</downloads>
        <average_vote>4.307526633591015</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MISLANDAFRICA" version="1.0.4" plugin_id="2342">
        <description><![CDATA[Land Degradation Monitoring Program]]></description>
        <about><![CDATA[The core-service provides land degradation indicators for African Countries at two levels. At the regional level(North Africa action zone) where low and medium resolution EO are used.At the pilot site level, where(customized indicators) can be developed, using medium resoultion data(landsat time series imagery and derived vegetation indices, combined with different satellite-derived climate data). Note: MISLAND-Africa is an operational instrument relying on the international standards for reporting SDG 15.3.1 and technical approaches allowing the delivery of regular information on vegetation cover gain/loss to decision makers and environmental agencies at the first place.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Kevin-Kiprotich/MISLANDAFRICA]]></homepage>
        <file_name>MISLAND.1.0.4.zip</file_name>
        <icon>/media/packages/2025/misland_logo_hcoRims.png</icon>
        <author_name><![CDATA[Kevin Kiprotich, sMustapha MIMOUNI, Nabil KHATRA, Amjed TAIEB, Haithem REJEB, Toure SOULEYMANE, Vivianne META, Derick ONGERI, Grace AMONDI, Seth NYAWACHA, and Simon NDARAU.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MISLAND/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[graceamondi]]></uploaded_by>
        <create_date>2021-03-05T06:23:39.109467+00:00</create_date>
        <update_date>2021-03-05T06:23:41.292690+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kevin-Kiprotich/MISLANDAFRICA/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kevin-Kiprotich/MISLANDAFRICA]]></repository>
        <tags><![CDATA[python,land degradation,coastal erosion,soil erosion,vegetation loss,sdg 15.3.1,forest fires,land productivity]]></tags>
        <downloads>5622</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="eRPTS Integration" version="0.2" plugin_id="2350">
        <description><![CDATA[This plugin contains the integrated tools relevant to the map digitization under the eRPTS.]]></description>
        <about><![CDATA[This plugin was developed solely to aid in the map digitization of the Province of Zamboanga del Sur, Philippines]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/seintax/erpts_connectivity]]></homepage>
        <file_name>zds-erpts-integration.0.2.zip</file_name>
        <icon>/media/packages/2021/icon_h4bsYNl.png</icon>
        <author_name><![CDATA[@seintaxerror]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/zds-erpts-integration/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[seintax]]></uploaded_by>
        <create_date>2021-03-08T03:10:30.418947+00:00</create_date>
        <update_date>2021-04-05T02:30:11.904041+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/seintax/erpts_connectivity/issues]]></tracker>
        <repository><![CDATA[https://github.com/seintax/erpts_connectivity]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>839</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Compass Routes" version="0.4" plugin_id="2352">
        <description><![CDATA[This plugin creates vector layers that work with magnetic variation.]]></description>
        <about><![CDATA[Commands in this plugin are available under Plugins &gt; Compass Routes:
&quot;Create Compass Route Layer&quot;: adds a new LineString layer with memory storage rendering as arrows that are automatically labeled with distance and magnetic bearing. The variation for each label is dynamically determined.
&quot;Create Magnetic North Lines&quot;: processing script that adds a vector layer containing magnetic north lines within a given extent. Lines are spaced by a given distance, and are broken and re-spaced to preserve this distance within an error tolerance.
For full documentation please see the project homepage.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://joeberkovitz.github.io/qgis-compass-routes]]></homepage>
        <file_name>compass_routes.0.4.zip</file_name>
        <icon>/media/packages/2021/compass_routes_plugin.png</icon>
        <author_name><![CDATA[Joe Berkovitz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/compass_routes/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[joeberkovitz]]></uploaded_by>
        <create_date>2021-03-09T01:59:45.844529+00:00</create_date>
        <update_date>2025-06-15T22:36:16.911563+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/joeberkovitz/qgis-compass-routes/issues]]></tracker>
        <repository><![CDATA[https://github.com/joeberkovitz/qgis-compass-routes]]></repository>
        <tags><![CDATA[bearing,magnetic,declination,north,compass,route,navigation,world magnetic model]]></tags>
        <downloads>3727</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LF Tools" version="1.0.1" plugin_id="2357">
        <description><![CDATA[Comprehensive solutions for cartographic production, surveying, drone mapping, GNSS data import, geospatial database management, digital image processing, and spatial analysis.]]></description>
        <about><![CDATA[The LFTools plugin is a true &quot;Swiss Army knife&quot; developed for QGIS, bringing together more than 135 scripts, expression functions, and toolbar tools. It caters to a wide range of needs, including cartographic production, surveying, drone operations, GNSS, image processing, database management, and spatial analysis. Since its launch in March 2021, it has become the most downloaded Brazilian-developed plugin on the platform, widely adopted by surveyors, cartographers, geographers, and other professionals working with geotechnologies. LFTools stands out for offering practical and automated solutions for creating topographic plans, descriptive reports, and other technical documents, combining automation efficiency with QGIS Atlas features and Python expressions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LEOXINGU/lftools/wiki/LF-Tools-for-QGIS]]></homepage>
        <file_name>lftools.1.0.1.zip</file_name>
        <icon>/media/packages/2026/lftools_logo_WzWo3lB.png</icon>
        <author_name><![CDATA[Leandro França]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lftools/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[leandrofranca]]></uploaded_by>
        <create_date>2021-03-12T12:04:02.172357+00:00</create_date>
        <update_date>2021-03-14T02:58:33.962404+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LEOXINGU/lftools/issues]]></tracker>
        <repository><![CDATA[https://github.com/LEOXINGU/lftools]]></repository>
        <tags><![CDATA[vector,raster,postgis,geotag,dem,topography,processing,nmea,cadastre,expressions,memorial,document,magnetic,cartography,surveying,brazil,reambulation,description,ellipses,lftools,drones,gnss,rtklib,geoone]]></tags>
        <downloads>349172</downloads>
        <average_vote>4.776308806566073</average_vote>
        <rating_votes>684</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Frequency Overlaps" version="0.5" plugin_id="2362">
        <description><![CDATA[Check for overlapping frequencies]]></description>
        <about><![CDATA[This plugin is a tool for radio spectrum management and interference analysis. It allows users to visualize and analyze frequency assignments geographically, identifying potential overlaps between station frequencies. By utilizing station location data and their respective frequency ranges (start and stop frequencies), the plugin detects frequency overlaps between stations, as well as available frequencies that can be assigned.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/slobbish/qgis-frequency-overlaps/tree/master]]></homepage>
        <file_name>frequency_overlaps.0.5.zip</file_name>
        <icon>/media/packages/2025/icon_J3r0wUP.png</icon>
        <author_name><![CDATA[Cavin Wang]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/frequency_overlaps/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[cavinwang]]></uploaded_by>
        <create_date>2021-03-18T14:02:43.543675+00:00</create_date>
        <update_date>2021-03-18T14:02:43.946409+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/slobbish/qgis-frequency-overlaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/slobbish/qgis-frequency-overlaps/tree/master]]></repository>
        <tags><![CDATA[vector,point,polygon,centroid,geometry,frequency overlaps,radio frequency]]></tags>
        <downloads>2265</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Q-LIP" version="0.1.1" plugin_id="2366">
        <description><![CDATA[QGIS-Landsat Indices plugin (Q-LIP)]]></description>
        <about><![CDATA[QGIS-Landsat Indices plugin(Q-LIP) is an easy-to-use tool for computing of environmental indices from Landsat data.It allows the download, preprocessing and computing of several environmental indices (vegatation, soil, water, and thermal indices).Q-LIP is of great interest for researchers and decision makers in environmental monitoring and land management and it is designed to reduce processing time,and to serve users without strong knowledge in image processing...................................................................................                                                          If using this plugin please cite this work :B. Sebbah, O. Yazidi Alaoui, M. Wahbi, M. Maâtouk, and N. Ben Achhab, “QGIS-Landsat Indices plugin (Q-LIP): Tool for environmental indices computing using Landsat data,” Environ. Model. Softw., vol.137,2021 .....................................................................]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yazidiotmane/Q-LIP]]></homepage>
        <file_name>q_lip.0.1.1.zip</file_name>
        <icon>/media/packages/2021/icon_C85bq5P.png</icon>
        <author_name><![CDATA[YAZIDI ALAOUI Otmane &amp; SEBBAH Boutaina FSTT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/q_lip/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[yazidiotmane]]></uploaded_by>
        <create_date>2021-03-27T21:44:07.140446+00:00</create_date>
        <update_date>2021-03-29T13:57:34.105728+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yazidiotmane/Q-LIP]]></tracker>
        <repository><![CDATA[https://github.com/yazidiotmane/Q-LIP]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1419</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Hide Docks" version="0.7.1" plugin_id="2372">
        <description><![CDATA[Hides docked panels by area]]></description>
        <about><![CDATA[Hides docked panels to expand the map canvas. You can hide the docks by area. The docks can be toggled on and off from the toolbar or by clicking on the separator.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tarot231/qgis-hide-docks-plugin]]></homepage>
        <file_name>HideDocks.0.7.1.zip</file_name>
        <icon>/media/packages/2022/icon_right.svg</icon>
        <author_name><![CDATA[Tarot Osuji]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/HideDocks/version/0.7.1/download/</download_url>
        <uploaded_by><![CDATA[tarot]]></uploaded_by>
        <create_date>2021-04-03T16:44:07.040018+00:00</create_date>
        <update_date>2022-04-17T09:11:12.864507+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tarot231/qgis-hide-docks-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/tarot231/qgis-hide-docks-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2505</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TerraBrasilis Data Source" version="0.1" plugin_id="2375">
        <description><![CDATA[The QGIS plugin provides access to the WMS services of the Spatial Data Infrastructure TerraBrasilis.]]></description>
        <about><![CDATA[Thanks to Adeline Maciel (original author), André Carvalho (contributor and actual maintainer). The QGIS plugin provides access to the WMS services of the Spatial Data Infrastructure TerraBrasilis. From the TerraBrasilis Data Source, select the project name and desired layer, and it will be possible to access the layer metadata and added the layer to the canvas. The layers are provided via WMS which requires an active internet connection.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/terrabrasilis/terrabrasilis_datasource]]></homepage>
        <file_name>terrabrasilis_datasource.0.1.zip</file_name>
        <icon>/media/packages/2024/terrabrasilis_yehN6S5.png</icon>
        <author_name><![CDATA[André Carvalho, INPE - Brazil&#x27;s National Institute for Space Research (contributor and actual maintainer)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/terrabrasilis_datasource/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[ammaciel]]></uploaded_by>
        <create_date>2021-04-06T12:07:58.351691+00:00</create_date>
        <update_date>2021-04-06T12:07:58.635645+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/terrabrasilis/terrabrasilis_datasource/issues]]></tracker>
        <repository><![CDATA[https://github.com/terrabrasilis/terrabrasilis_datasource]]></repository>
        <tags><![CDATA[wms,brazil,deforestation,inpe,terrabrasilis,prodes]]></tags>
        <downloads>15289</downloads>
        <average_vote>4.60592103269598</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="finding_laylines" version="0.2" plugin_id="2378">
        <description><![CDATA[This plugin creates drain nets (consisting of contour lines and surface flow pathways called LAYLINES that are at right angles to each other).]]></description>
        <about><![CDATA[This plugin creates drain nets (consisting of contour lines and surface flow pathways called LAYLINES that are at right angles to each other).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FVW-Services/finding_laylines]]></homepage>
        <file_name>finding_laylines.0.2.zip</file_name>
        <icon>/media/packages/2022/icon_PtzOTWQ.png</icon>
        <author_name><![CDATA[FALASY Anamelechi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/finding_laylines/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[fvwservices]]></uploaded_by>
        <create_date>2021-04-16T15:17:46.006191+00:00</create_date>
        <update_date>2022-01-14T20:03:43.174822+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FVW-Services/finding_laylines/issues]]></tracker>
        <repository><![CDATA[https://github.com/FVW-Services/finding_laylines]]></repository>
        <tags><![CDATA[python,lidar,boundary extraction,drain nets,laylines,contour lines,surface flow pathways,drainage layout,depression filling]]></tags>
        <downloads>1992</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="wpDatasets" version="1.2.1" plugin_id="2388">
        <description><![CDATA[A simple qgis 3 addon to downlaod wp datasets from WorldPop ftp server.]]></description>
        <about><![CDATA[A Qgis (version &gt; 3) for discovering and downloading WorldPop (GlobalProject) datasets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sdi.worldpop.org/services/gis]]></homepage>
        <file_name>wpgpDatasets.1.2.1.zip</file_name>
        <icon>/media/packages/2025/wp.ico</icon>
        <author_name><![CDATA[Nikolaos Ves,Maksym Bondarenko,Aron Gergely,David Kerr and Alessandro Sorichetta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wpgpDatasets/version/1.2.1/download/</download_url>
        <uploaded_by><![CDATA[worldpop]]></uploaded_by>
        <create_date>2021-04-28T16:23:35.018774+00:00</create_date>
        <update_date>2021-04-28T16:23:36.779164+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wpgp/wpgpQGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/wpgp/wpgpQGIS]]></repository>
        <tags><![CDATA[raster,datasets,worldpop]]></tags>
        <downloads>2060</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Automatic Classifier" version="0.61" plugin_id="2392">
        <description><![CDATA[Deep learning based classifier. By SHOURYA SHASHANK]]></description>
        <about><![CDATA[deep learning and K mean based classifier.Semantic segmentation is one of the fundamental research in remote sensing image processing. Because of the complex environment, a fully unsupervised segmentation and classification is a challenging task.  Although the neural network has achieved excellent performance in semantic segmentation in the previous years, But due to extremely large size of geological image and complexity and interference in multiple bands it is quite difficult to perform deep learning based segmentation and classification because of the current hardware limitations. This project aims to solve that very problem by down sampling the image band space by K-means clustering to get pixel level classification]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/shouryashashank/Automatic_raster_classifier]]></homepage>
        <file_name>auto_class.0.61.zip</file_name>
        <icon>/media/packages/2021/icon_5qhdAaN.png</icon>
        <author_name><![CDATA[Shourya Shashank]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/auto_class/version/0.61/download/</download_url>
        <uploaded_by><![CDATA[shouryashashank]]></uploaded_by>
        <create_date>2021-04-30T15:30:08.483330+00:00</create_date>
        <update_date>2021-04-30T18:07:31.725643+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/shouryashashank/Automatic_raster_classifier/issues]]></tracker>
        <repository><![CDATA[https://github.com/shouryashashank/Automatic_raster_classifier]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3952</downloads>
        <average_vote>4.388645075273596</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="China Transform Tool" version="0.1" plugin_id="2397">
        <description><![CDATA[shp\img文件坐标系转换工具，支持WGS84\GCJ02\BD09坐标系转换
SHP\IMG file coordinate system conversion tool, support WGS84\GCJ02\BD09 coordinate system conversion]]></description>
        <about><![CDATA[shp/img文件坐标系转换工具，支持WGS84/GCJ02/BD09坐标系之间的转换。
SHP\IMG file coordinate system conversion tool, support WGS84\GCJ02\BD09 coordinate system conversion.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yimengyao13/china_transform_tool]]></homepage>
        <file_name>china_transform_tool.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_sXwL3dC.png</icon>
        <author_name><![CDATA[wudaojian]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/china_transform_tool/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[wudaojian]]></uploaded_by>
        <create_date>2021-05-04T01:54:12.916700+00:00</create_date>
        <update_date>2021-05-04T01:54:14.656986+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yimengyao13/china_transform_tool/issues]]></tracker>
        <repository><![CDATA[https://github.com/yimengyao13/china_transform_tool]]></repository>
        <tags><![CDATA[vector,python,raster,shp,wgs84,china]]></tags>
        <downloads>6016</downloads>
        <average_vote>4.213984715377473</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Open Aerial Map (OAM) for QGIS3, Express Edition" version="0.1.0" plugin_id="2399">
        <description><![CDATA[Open Aerial Map (OAM) client for QGIS3, Express Edition]]></description>
        <about><![CDATA[This plugin allows QGIS3 users to access to various OAM services as a desktop client. (Image uploader is not available in this express edition.)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yojiyojiyoji/oam_qgis3_express.git]]></homepage>
        <file_name>oam_qgis3_express.0.1.0.zip</file_name>
        <icon>/media/packages/2021/icon_VyvVLOz.png</icon>
        <author_name><![CDATA[yojiyojiyoji]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/oam_qgis3_express/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[hotqgis]]></uploaded_by>
        <create_date>2021-05-06T03:44:50.341840+00:00</create_date>
        <update_date>2021-05-06T03:44:52.535960+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yojiyojiyoji/oam_qgis3_express/issues]]></tracker>
        <repository><![CDATA[https://github.com/yojiyojiyoji/oam_qgis3_express.git]]></repository>
        <tags><![CDATA[python,raster,openstreetmap,osm,remote sensing,uav]]></tags>
        <downloads>6111</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RasterAttributeTable" version="1.0" plugin_id="2406">
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        <about><![CDATA[Display and manage Raster Attribute Tables.]]></about>
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        <icon>/media/packages/2022/rat_icon.svg</icon>
        <author_name><![CDATA[Alessandro Pasotti]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RasterAttributeTable/version/1.0/download/</download_url>
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        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/noaa-ocs-hydrography/qgis-raster-attribute-table-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/noaa-ocs-hydrography/qgis-raster-attribute-table-plugin]]></repository>
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        <server>False</server>
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        <description><![CDATA[Helper plugin for easy and consistent geological map generation]]></description>
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        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/europlanet-gmap/mappy]]></homepage>
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        <icon>/media/packages/2022/icon_YsJbaAA.png</icon>
        <author_name><![CDATA[Luca Penasa, PLANMAP and GMAP team]]></author_name>
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        <uploaded_by><![CDATA[lpen]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/europlanet-gmap/mappy/issues]]></tracker>
        <repository><![CDATA[https://github.com/europlanet-gmap/mappy]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3525</downloads>
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        <rating_votes>10</rating_votes>
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        <server>False</server>
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        <description><![CDATA[This plugin allows easier access to information about the population of Andalusia (region of Spain)]]></description>
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        <trusted>False</trusted>
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        <icon>/media/packages/2024/icon_E0DCqOk.png</icon>
        <author_name><![CDATA[Miguel Sanz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/andalusianpopulation/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[devmemi]]></uploaded_by>
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        <server>False</server>
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        <description><![CDATA[This plugin calculates walkability index of Urban Neighborhoods in European Cities]]></description>
        <about><![CDATA[This tool calculates the walkability of urban neighborhoods for 500 by 500 meter vector grids. You can either create this grid for your study area using the Create Grid tool in QGIS or download such a grid from https://inspire-geoportal.ec.europa.eu if you want it to conform to EU INSPIRE requirements.]]></about>
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        <qgis_minimum_version>3.8.0</qgis_minimum_version>
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        <icon>/media/packages/2026/icon_5jTRp1H.png</icon>
        <author_name><![CDATA[ILS–Institut für Landes- und Stadtentwicklungsforschung gGmbH]]></author_name>
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        <server>False</server>
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        <icon></icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
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        <tags><![CDATA[relation]]></tags>
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        <rating_votes>5</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Data Augmentation" version="1.1" plugin_id="2428">
        <description><![CDATA[This plugin generate basic data augmentation.]]></description>
        <about><![CDATA[This plugin generate basic data augmentation. Methods: - Rotate - Flip - Truncate - Trim - Crop - Binary - Blur And some methods from remote sensing such as cloud simulation, degradation, haze simulation and Sharpen Edges.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gabrielkoyama/augmentation_qgis]]></homepage>
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        <icon>/media/packages/2021/icon_7biKIKU.png</icon>
        <author_name><![CDATA[Gabriel K. Alves, Sabrina G. Marques, Igor Kolesnikov, Rafael Marinho]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dataaugmentation/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[gabrielkoyama]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gabrielkoyama/augmentation_qgis/issues]]></tracker>
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        <tags><![CDATA[python,remote sensing,processing,data augmentation]]></tags>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WhiteBoard" version="0.3" plugin_id="2429">
        <description><![CDATA[Whiteboard client]]></description>
        <about><![CDATA[Whiteboard plugin is client for whiteboard server, that provides cooperation in creating and sharing map compositions in real time.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2021/icon_IJAKM1v.png</icon>
        <author_name><![CDATA[jan vrobel]]></author_name>
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        <deprecated>False</deprecated>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Index Calculator" version="0.1" plugin_id="2434">
        <description><![CDATA[This plugin calculates different indexes from Sentinel 2 snapshots.]]></description>
        <about><![CDATA[This plugin calculates different indexes from Sentinel 2 snapshots.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2021/icon_lZ6FdOn.png</icon>
        <author_name><![CDATA[Veronika Hajdúchová]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/index_calculator/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[veronikah]]></uploaded_by>
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        <tags><![CDATA[python,index,ndvi]]></tags>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qDMTK" version="0.0.2-alpha.1" plugin_id="2449">
        <description><![CDATA[QGIS datamodel toolkit]]></description>
        <about><![CDATA[Datamodeling solution for QGIS based on Django]]></about>
        <trusted>True</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2021/icon_FjjLKbf.svg</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
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        <server>False</server>
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        <about><![CDATA[Mapflow provides AI models for automatic feature extraction from satellite imagery. Choose a web imagery provider or upload you own image, select what type of features you want to extract and your area of interest, and Mapflow will do the rest. Currently, we can extract:
- buildings
- agricultural fields
- forest (optionally, with height)
- roads
- construction sites
For a step-by-step user guide, go to https://docs.mapflow.ai/api/qgis_mapflow#user-interface]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2026/icon_opNaxiq.png</icon>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Geoalert/mapflow-qgis/issues]]></tracker>
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        <downloads>186986</downloads>
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        <rating_votes>163</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PrecisionCursor" version="1.1.C" plugin_id="2453">
        <description><![CDATA[Gives you a button to switch the mouse cursor to a high precision pointer]]></description>
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        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2021/PrecisionCursorIcon4_Klm2maV.png</icon>
        <author_name><![CDATA[Matthias Jacobs]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/precisioncursor4qgis-main/version/1.1.C/download/</download_url>
        <uploaded_by><![CDATA[greengooscenario]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/greengooscenario/precisioncursor4qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/greengooscenario/precisioncursor4qgis]]></repository>
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        <downloads>14981</downloads>
        <average_vote>4.4541405326788475</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[PIP dependencies manager for QGIS plugins]]></description>
        <about><![CDATA[PIP dependencies manager for QGIS plugins (WARNING - THIS IS IN EARLY DEVELOPEMENT, NOT STABLE/USABLE YET)]]></about>
        <trusted>True</trusted>
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        <icon>/media/packages/2026/qpip_wf8fAjw.svg</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/a00_qpip/version/0.0.3/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qpip/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qpip]]></repository>
        <tags><![CDATA[plugin,pip,dependencies,dependency]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Generate SWMM inp" version="0.45.1" plugin_id="2459">
        <description><![CDATA[Generate SWMM input files from layers, import input files from SWMM to QGIS and import SWMM report files to QGIS]]></description>
        <about><![CDATA[This plugin provides tools to generate SWMM input files from layers in QGIS, and to import SWMM input files into QGIS. You can create submodels above or below a certain node in your model layers. The plugin needs the python library &#x27;pandas&#x27; which should be included in current QGIS versions. If it is not already installed, it can be added in a advanced QGIS installation or via pip. Instructions and a documentation can be found on the plugin´s GIT (see link &quot;homepage&quot; below).

Cite as: Schilling, J.; Tränckner, J. Generate_SWMM_inp: An Open-Source QGIS Plugin to Import and Export Model Input Files for SWMM. Water 2022, 14, 2262. https://doi.org/10.3390/w14142262

First versions (0.1 to 0.31) of this plugin have been developed within the project PROSPER-RO, funded by BMBF, grant number 033L212.
New features and bugfixes (versions 0.32 to 0.39) have been added within the project OSWeGe, funded by BMUV, grant number 67DAS263]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/Jannik-Schilling/generate_swmm_inp]]></homepage>
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        <icon>/media/packages/2026/icon_pTO66lG.png</icon>
        <author_name><![CDATA[Jannik Schilling]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/generate_swmm_inp/version/0.45.1/download/</download_url>
        <uploaded_by><![CDATA[jannikschilling]]></uploaded_by>
        <create_date>2021-07-15T17:24:54.903946+00:00</create_date>
        <update_date>2026-04-06T11:58:22.036064+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Jannik-Schilling/generate_swmm_inp/issues]]></tracker>
        <repository><![CDATA[https://github.com/Jannik-Schilling/generate_swmm_inp]]></repository>
        <tags><![CDATA[flow,water,river,modelling,wastewater,sewer,swmm]]></tags>
        <downloads>36201</downloads>
        <average_vote>4.341410470604017</average_vote>
        <rating_votes>82</rating_votes>
        <external_dependencies></external_dependencies>
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        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2021/icon_ri7ynlO.png</icon>
        <author_name><![CDATA[Jonas Apelt]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/modis_z/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[hardartful]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HardGeo/MODIS-LST-Downloa-Visualization/find/Yolo]]></tracker>
        <repository><![CDATA[https://github.com/HardGeo/MODIS-LST-Downloa-Visualization/find/Yolo]]></repository>
        <tags><![CDATA[python]]></tags>
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        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/champs-libres/pintmap/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/champs-libres/pintmap]]></repository>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[This plugin runs the Weights of Evidence (WofE) Model, particularly for mineral prospectivity modelling.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2021/icon_sOcYE5V.png</icon>
        <author_name><![CDATA[Bijal Chudasama, Geological Survey of Finland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wofe_module/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[bchudasama]]></uploaded_by>
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        <update_date>2021-08-20T09:50:06.711830+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/chudasama-bijal/QGIS-Plugin-Weights-of-Evidence-Model]]></tracker>
        <repository><![CDATA[http://github.com/chudasama-bijal/QGIS-Plugin-Weights-of-Evidence-Model]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1380</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Connects to AvaFrame]]></description>
        <about><![CDATA[Connecting AvaFrame and QGis.
NOTE: see installation instructions at http://docs.avaframe.org/installation.html.
If you are updating the AvaFrameConnector, make sure to run UpdateAvaFrame in
the Admin Group (in your toolbox)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_KCOEgUt.png</icon>
        <author_name><![CDATA[AvaFrame Team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/avaframeConnector/version/0.9.1/download/</download_url>
        <uploaded_by><![CDATA[avaframe]]></uploaded_by>
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        <update_date>2021-08-27T12:08:31.968658+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenNHM/QGisAF]]></tracker>
        <repository><![CDATA[https://github.com/OpenNHM/QGisAF]]></repository>
        <tags><![CDATA[python,avalanche]]></tags>
        <downloads>10717</downloads>
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        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Bestimmmung von Trassierungselementen aus in QGIS digitalisiertem grafischen Entwurf]]></description>
        <about><![CDATA[Mithilfe dieses Plugins können Freihandlinien in Form von einzelnen Punkten eingelesen oder digitalisiert werden. Aus diesen Punkten errechnet das Plugin Trassierungselemente der Lage, um eine Achse an die digitalisierten Punkte annähern zu können. Nun können die Bogenhauptpunkte und Zwischenpunkte ausgegeben werden.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2021/icon_H0EdR1w.png</icon>
        <author_name><![CDATA[Lukas Haas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Freihandtrasse/version/1.0/download/</download_url>
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        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/lukashaas96/Freihandtrasse]]></repository>
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        <server>False</server>
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The plugin has been renamed to Mesh tools.
This will be deleted in the coming months.

Please find it under:
https://plugins.qgis.org/plugins/mesh_tools/]]></description>
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- Culvert Manager developed by Aurélien Perrin(Artelia)
- Mesh Quality Analysis developed by Nicolas Godet (ISL)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
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        <icon>/media/packages/2021/icon_0Pjac7w.png</icon>
        <author_name><![CDATA[Artelia]]></author_name>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Artelia/Mesh_tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/Artelia/Mesh_tools]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1551</downloads>
        <average_vote>0.0</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoKKP-GIS" version="1.1.8" plugin_id="2484">
        <description><![CDATA[This plugin ports GeoKKP for National Land Agency of Indonesia]]></description>
        <about><![CDATA[This plugin serves as a port of GeoKKP for GIS purposes in QGIS]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/danylaksono/GeoKKP-GIS]]></homepage>
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        <icon>/media/packages/2023/icon_C2SKaYJ.png</icon>
        <author_name><![CDATA[Dany Laksono, Ivan Busthomi, Nur Izzahudin, Ismail Sunni]]></author_name>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/danylaksono/GeoKKP-GIS]]></tracker>
        <repository><![CDATA[https://github.com/danylaksono/GeoKKP-GIS]]></repository>
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        <downloads>9725</downloads>
        <average_vote>4.782400765184122</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[This algorithm is an updated version of the equal area slope estimator by Andrew Campell.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Ruishi662/QGIS-Plugin-equal-area-slope]]></homepage>
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        <icon>/media/packages/2021/icon_8otrRyJ.png</icon>
        <author_name><![CDATA[WSP Global &amp; The University and Queensland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Equal_area_slope_QGIS_Plugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[sr522423662]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Ruishi662/QGIS-Plugin-equal-area-slope/issues]]></tracker>
        <repository><![CDATA[https://github.com/Ruishi662/QGIS-Plugin-equal-area-slope]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2101</downloads>
        <average_vote>4.332851905343851</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[GIAP-PolaMap(lite) is an open-source plugin, which allows customization of toolbar and adds proprietary tools to QGIS.]]></description>
        <about><![CDATA[The plugin consists of several elements, which include proprietary tools of one of polish firm producing GIS software - GIAP SP. z o.o. The proprietary GIAP tools include quick print of map, creating own map compositions, ability to quickly add WMS/WMTS services, search engine for data from the ULDK service and customization of toolbar.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/GIAPspzoo/GIAP_PolaMap_lite]]></homepage>
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        <icon>/media/packages/2025/PolaMap_Lite2_PWwQECW.png</icon>
        <author_name><![CDATA[GIAP]]></author_name>
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        <deprecated>False</deprecated>
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        <tags><![CDATA[python,toolbar,giap,personalization]]></tags>
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        <average_vote>4.759936534179544</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon></icon>
        <author_name><![CDATA[J. Pierson, UMR 6554 LETG, CNRS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/river_tools_processing/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jpierson]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.in2p3.fr/julie.pierson/river_tools]]></tracker>
        <repository><![CDATA[https://gitlab.in2p3.fr/julie.pierson/river_tools]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1939</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Bivariate color polygon renderer" version="0.2.2" plugin_id="2496">
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        <about><![CDATA[Implementation of bivariate color renderer for polygon data. Examples are shown here - https://www.joshuastevens.net/cartography/make-a-bivariate-choropleth-map/.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://jancaha.github.io/qgis-plugin-bivariate-renderer/]]></homepage>
        <file_name>BivariateRenderer.0.2.2.zip</file_name>
        <icon>/media/packages/2026/main_icon_g5AM8o8.png</icon>
        <author_name><![CDATA[Jan Caha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/BivariateRenderer/version/0.2.2/download/</download_url>
        <uploaded_by><![CDATA[cahik]]></uploaded_by>
        <create_date>2021-09-22T09:16:47.799961+00:00</create_date>
        <update_date>2021-09-24T14:20:21.126643+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JanCaha/qgis-plugin-bivariate-renderer/issues]]></tracker>
        <repository><![CDATA[https://github.com/JanCaha/qgis-plugin-bivariate-renderer]]></repository>
        <tags><![CDATA[renderer]]></tags>
        <downloads>15462</downloads>
        <average_vote>4.368191147834324</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QSoccer" version="0.2.0" plugin_id="2505">
        <description><![CDATA[Draw a pitch and depict soccer data]]></description>
        <about><![CDATA[Draw a pitch and depict soccer data]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/QSoccer/]]></homepage>
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        <icon>/media/packages/2022/qsoccer_logo_96px_83gZcCv.svg</icon>
        <author_name><![CDATA[Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qsoccer/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2021-10-01T15:27:20.596613+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/QSoccer/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/QSoccer/]]></repository>
        <tags><![CDATA[dataviz,football,soccer]]></tags>
        <downloads>4724</downloads>
        <average_vote>3.7490627343164205</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="longitudinal" version="0.8" plugin_id="2508">
        <description><![CDATA[longitudinal along Lines and Points]]></description>
        <about><![CDATA[longitudinal along Lines and Points]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Amphibitus/longitudinal/wiki]]></homepage>
        <file_name>longitudinal.0.8.zip</file_name>
        <icon>/media/packages/2023/icon_lzQnbeq.png</icon>
        <author_name><![CDATA[g3er geoplaning GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/longitudinal/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[amphibitus]]></uploaded_by>
        <create_date>2021-10-05T11:25:44.928898+00:00</create_date>
        <update_date>2023-08-16T09:47:06.680721+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Amphibitus/longitudinal/issues]]></tracker>
        <repository><![CDATA[https://github.com/Amphibitus/longitudinal]]></repository>
        <tags><![CDATA[python,water,dxf,plugin,qgis,section,sewer,pipe,längsschnitt,longitudinal,kanalkataster,kanal]]></tags>
        <downloads>3276</downloads>
        <average_vote>3.9986671109630123</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QompliGIS" version="v1.0.0" plugin_id="2509">
        <description><![CDATA[verify if the structure of a dataset complies with the structure of a reference dataset.]]></description>
        <about><![CDATA[QGIS compliance plugin]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/qompligis/]]></homepage>
        <file_name>QompliGIS.v1.0.0.zip</file_name>
        <icon>/media/packages/2022/qompligis_logo_VTZqRoW.svg</icon>
        <author_name><![CDATA[Loïc Bartoletti (Oslandia), Jacky Volpes (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QompliGIS/version/v1.0.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2021-10-05T14:57:20.333930+00:00</create_date>
        <update_date>2021-10-05T14:57:20.754525+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/qompligis/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/oslandia/QGIS/qompligis/]]></repository>
        <tags><![CDATA[cad,standard,reporting,quality,compliance]]></tags>
        <downloads>5814</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Morfofrac" version="0.1" plugin_id="2514">
        <description><![CDATA[Get the fractal dimension]]></description>
        <about><![CDATA[This program allows to apply the box counting technique to estimate the fractal dimension of a polygonal figure of one or more pieces, contained in the file on which the process will be run. The program returns 6 shapes with their respective mandatory files (shp, shx, dbf). The first shape contains the minimum square box that contains the analyzed figure. We call this level, N0. Subsequently, another five files are generated, the first of these (N1) divides the box of the first file into four equal squares. The next one (N2), a mosaic of 16 (4x4) squares, each one half the length of the previous ones, that fit inside these, and so on. After generating the files, the program delivers a list that indicates the number of squares in each file, and the number of occupied squares of each dimension inside the figure. You can estimate outside the QGIS program, the regression line whose slope is the dimension fractal. The largest square is l long. The second half of l, the third l / 2/2 and so on.

This complement was developed under the supervision of Dr. Luis Chías from GITS, Institute of Geography- UNAM. On whose page you can find more detailed information.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.gits.igg.unam.mx/portal/index.html]]></homepage>
        <file_name>fractaliadj.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Jair Arriaga, Tonatiuh Meaney.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fractaliadj/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jarriaga]]></uploaded_by>
        <create_date>2021-10-11T15:34:52.787911+00:00</create_date>
        <update_date>2021-10-11T15:34:53.220245+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://www.gits.igg.unam.mx/portal/index.html]]></tracker>
        <repository><![CDATA[https://github.com/jarriaga-c/MorfoFrac.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2451</downloads>
        <average_vote>4.374453193350831</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Profile Manager (deprecated)" version="0.31.1" plugin_id="2515">
        <description><![CDATA[(Deprecated, please update to the new Profile Manager plugin.) Makes handling profiles easy by giving you an UI to easily import settings from one profile to another]]></description>
        <about><![CDATA[(Deprecated, please update to the new Profile Manager plugin.) A QGIS Plugin that provides an UI to easily manage your profiles and import various settings from one profile to another]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.12.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://wheregroup.com/]]></homepage>
        <file_name>profile-manager.0.31.1.zip</file_name>
        <icon>/media/packages/2025/icon_OWUc9SE.png</icon>
        <author_name><![CDATA[(C) 2022 by WhereGroup GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/profile-manager/version/0.31.1/download/</download_url>
        <uploaded_by><![CDATA[jkroegerwg]]></uploaded_by>
        <create_date>2021-10-13T08:07:14.845021+00:00</create_date>
        <update_date>2025-04-04T06:24:31.231985+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/WhereGroup/profile-manager/issues]]></tracker>
        <repository><![CDATA[https://github.com/WhereGroup/profile-manager/]]></repository>
        <tags><![CDATA[python,profiles,manager,profilemanager]]></tags>
        <downloads>24694</downloads>
        <average_vote>4.28510212826739</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WAPlugin" version="3.0.1" plugin_id="2518">
        <description><![CDATA[Provides access to all the WaPOR data and includes it in the QGIS canvas as another raster layer, providing WaPOR data easy access to the QGIS users. Moreover, the water accounting and productivity component of the plugin will help the water management, providing the opportunity of calculating water accounting indicators, through the creation of maps and reports.]]></description>
        <about><![CDATA[The water accounting and productivity plugin for QGIS platform provides access to all the WaPOR data and includes it in the QGIS canvas as another raster layer, providing WaPOR data easy access to the QGIS users. Moreover, the water accounting and productivity component of the plugin will help the water management, providing the opportunity of calculating water accounting indicators, through the creation of maps and reports.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/WAGIS/wap_plugin]]></homepage>
        <file_name>wap_plugin.3.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_DwAyIDQ.png</icon>
        <author_name><![CDATA[WAGIS Tools &amp; Services]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wap_plugin/version/3.0.1/download/</download_url>
        <uploaded_by><![CDATA[fhfonsecaa]]></uploaded_by>
        <create_date>2021-10-14T19:02:23.600828+00:00</create_date>
        <update_date>2024-05-02T18:12:44.985038+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WAGIS/wap_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/WAGIS/wap_plugin/releases/tag/v3.0.3]]></repository>
        <tags><![CDATA[database,analysis]]></tags>
        <downloads>9373</downloads>
        <average_vote>4.789221619914741</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qLidar" version="0.6" plugin_id="2524">
        <description><![CDATA[QGIS plugin to use point clouds from LIDAR or Photogrammetry]]></description>
        <about><![CDATA[QGIS plugin to use point clouds from LIDAR or Photogrammetry]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/UCLM-PAFyC/qLidar]]></homepage>
        <file_name>qLidar.0.6.zip</file_name>
        <icon>/media/packages/2022/icon_uLclFcK.png</icon>
        <author_name><![CDATA[David Hernandez Lopez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qLidar/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[daherlo]]></uploaded_by>
        <create_date>2021-10-28T08:32:45.603722+00:00</create_date>
        <update_date>2022-01-31T07:50:33.642017+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UCLM-PAFyC/qLidar]]></tracker>
        <repository><![CDATA[https://github.com/UCLM-PAFyC/qLidar]]></repository>
        <tags><![CDATA[3d,lidar,point cloud,photogrammetry]]></tags>
        <downloads>23093</downloads>
        <average_vote>3.7644844420916415</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LADM-COL add-on Ambiente" version="0.2" plugin_id="2525">
        <description><![CDATA[Plugin to extend the Asistente LADM-COL plugin with tools for the environmental sector in Colombia]]></description>
        <about><![CDATA[Add-on para el sector ambiente en Colombia. Extiende funcionalidades del Asistente LADM-COL.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SwissTierrasColombia/LADM-COL-Add-on-Ambiente]]></homepage>
        <file_name>LADM-COL-Add-on-Ambiente.0.2.zip</file_name>
        <icon>/media/packages/2021/add_on_ubNP3de.png</icon>
        <author_name><![CDATA[SwissTierras Colombia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LADM-COL-Add-on-Ambiente/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[gcarrillo]]></uploaded_by>
        <create_date>2021-10-29T22:22:09.790185+00:00</create_date>
        <update_date>2021-11-04T20:40:25.302612+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SwissTierrasColombia/LADM-COL-Add-on-Ambiente/issues]]></tracker>
        <repository><![CDATA[https://github.com/SwissTierrasColombia/LADM-COL-Add-on-Ambiente]]></repository>
        <tags><![CDATA[colombia,interlis,ladm,iso19152,ladm_col,environment,addon,add on,ambiente]]></tags>
        <downloads>1765</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Leave one out validations for interpolations" version="1.0" plugin_id="2526">
        <description><![CDATA[leave one out validations for different QGIS interpolation methods.]]></description>
        <about><![CDATA[Plugin for the validation of different interpolation methods of qgis (using the inteprolation methods from QGIS, SAGA,...) with the leave one out method. This method is a tool to judge the accuracy of an interpolation method and its chosen parameters. With the resulting residues between known and estimated values, the user can calculate different statistical values such as the RMSE afterwards. Important is that this plugin uses qgis internal interpolation algorithms from SAGA and adds a validation algorithm with the leave one out method for your chosen set of parameters. !!While using the Plugin it is recommended to open the Python console to have access to the progress and documentation!! Further information regarding the method, results and plugin is to be found on the github page (homepage).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.6</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JoRi-MoeJo/IntValidation_leaveoneout]]></homepage>
        <file_name>IntValidation_leaveoneout.1.0.zip</file_name>
        <icon>/media/packages/2025/logo_ZHUnJhV.png</icon>
        <author_name><![CDATA[Johannes Ritter]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/IntValidation_leaveoneout/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[moejo]]></uploaded_by>
        <create_date>2021-11-02T16:46:18.249465+00:00</create_date>
        <update_date>2021-11-02T16:46:18.715357+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JoRi-MoeJo/IntValidation_leaveoneout/issues]]></tracker>
        <repository><![CDATA[https://github.com/JoRi-MoeJo/IntValidation_leaveoneout]]></repository>
        <tags><![CDATA[interpolation,validation,spline,jackknifing,leave one out,cross validation]]></tags>
        <downloads>1697</downloads>
        <average_vote>2.997002997002997</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PyLUSATQ" version="0.2.0" plugin_id="2531">
        <description><![CDATA[The plugin allows to perform Land Use Suitability Analysis following vector-based routines.]]></description>
        <about><![CDATA[This QGIS plugin is an interface to PyLUSAT, Python for Land Use Suitability Analysis. It integrates into the QGIS processing framework and provides a user interface, identical to all other QGIS tools, to all PyLUSAT (https://pylusat.readthedocs.io/) functions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/chjch/pylusat-qgis/]]></homepage>
        <file_name>pylusatq.0.2.0.zip</file_name>
        <icon>/media/packages/2023/icon_Ki4Yeo4.png</icon>
        <author_name><![CDATA[Changjie chen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pylusatq/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[chjch]]></uploaded_by>
        <create_date>2021-11-07T15:57:39.599744+00:00</create_date>
        <update_date>2022-11-07T22:04:24.742619+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chjch/pylusat-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/chjch/pylusat-qgis]]></repository>
        <tags><![CDATA[ahp,gis,planning,suitability analysis,planning support system,land use]]></tags>
        <downloads>5674</downloads>
        <average_vote>3.9997143061209917</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Speckle" version="2.17.0-rc2" plugin_id="2532">
        <description><![CDATA[Speckle 2.0 Connector for QGIS]]></description>
        <about><![CDATA[The Speckle QGIS plugin allows you send and receive data from multiple sources to/from several layers in your project, and store their geometry (as well as their contained metadata), in a Speckle server.

Don&#x27;t know what Speckle is? You&#x27;re not alone! Find out more at https://speckle.systems
You can start exploring by checking out this commit generated in QGIS from open web data sources (OSM, Google Satellite Tiles and Mapzen Terrain Tiles): https://app.speckle.systems/projects/5feae56049/models/1a95ec93ec

Requirements:
- Speckle Manager: You can download the installer here -&gt; https://speckle.guide/user/manager
- An account in a Speckle server. If you don&#x27;t have one, feel free to use our public server https://app.speckle.systems/
- An account added in the Accounts section of the Speckle Manager
- Windows and Mac compatible

If the requirements are not fullfilled, the plugin will load but will not have any functionality enabled.

If you&#x27;re having issues with this plugin, you can always reach us at https://speckle.community

Plugin is using the external libraries such as pyshp, scipy, triangle and specklepy, which will be installed automatically to a custom folder.

Data types currently not supported for sending:
- Layers depending on the server connection (WMS, WFC, WCS etc.)
- Scenes
- Mesh Vector layers
- Pointclouds]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.2</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://speckle.systems]]></homepage>
        <file_name>speckle-qgis.2.17.0-rc2.zip</file_name>
        <icon>/media/packages/2025/icon_d0hN20K.png</icon>
        <author_name><![CDATA[Speckle Systems]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/speckle-qgis/version/2.17.0-rc2/download/</download_url>
        <uploaded_by><![CDATA[speckle]]></uploaded_by>
        <create_date>2021-11-09T10:51:40.114944+00:00</create_date>
        <update_date>2023-11-27T16:49:09.520822+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/specklesystems/speckle-qgis/issues]]></tracker>
        <repository><![CDATA[http://github.com/specklesystems/speckle-qgis]]></repository>
        <tags><![CDATA[python,web,cad,cloud,server,3d,online,speckle,interoperability,collaboration,bim]]></tags>
        <downloads>21424</downloads>
        <average_vote>4.72960190265128</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ecosystem Respiration Tool" version="0.4" plugin_id="2533">
        <description><![CDATA[This plugin calculates ecosystem respiration from thermal images.]]></description>
        <about><![CDATA[This plugin calculates plant and ecosystem respiration from thermal images. Here is a tutorial: https://ecothermographylab.com/ecosystem-respiration/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FloEll/EcoRes]]></homepage>
        <file_name>ecores.0.4.zip</file_name>
        <icon>/media/packages/2025/icon_kV30ils.png</icon>
        <author_name><![CDATA[Florian Ellsäßer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ecores/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[floell]]></uploaded_by>
        <create_date>2021-11-10T19:55:49.748905+00:00</create_date>
        <update_date>2023-02-15T14:37:07.234284+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FloEll/EcoRes/issues]]></tracker>
        <repository><![CDATA[https://github.com/FloEll/EcoRes]]></repository>
        <tags><![CDATA[lst,ecosystem,land surface temperatures,respiration,plant,thermal,leaf,ecores]]></tags>
        <downloads>3000</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Servizi Ecosistemici Città di Torino" version="0.1" plugin_id="2535">
        <description><![CDATA[Calcolo dei Servizi Ecosistemici per la Città di Torino]]></description>
        <about><![CDATA[The plugin allows the valuation of ecosystem services, namely carbon storage, flood protection, air pollutants removal, rain inflitration, recreational activities, air temperature regulation, pollination, crops production, habitat quality. The valuation is referred to specific land use scenarios (eg actual conditions, future conditions) in order to assess trade-off and synergies to support land management policies in urban planning.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.comune.torino.it/torinosostenibile/]]></homepage>
        <file_name>servizi_ecosistemici.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Seacoop]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/servizi_ecosistemici/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[seacoop]]></uploaded_by>
        <create_date>2021-11-11T21:27:25.122924+00:00</create_date>
        <update_date>2021-11-11T21:27:25.594020+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SEAcoop/SE-Torino/issues]]></tracker>
        <repository><![CDATA[https://github.com/SEAcoop/SE-Torino]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1296</downloads>
        <average_vote>2.997002997002997</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Traffic Viewer" version="0.1.1" plugin_id="2537">
        <description><![CDATA[allows the user to add  googlemap traffic layer with realtime traffic data as a layer.]]></description>
        <about><![CDATA[Allows the user to load and automatically add the google map traffic layer with its Realtime data. thus, giving a very powerfull tool to planners to use correct data collected by google maps. This plugin will be very useful to solve traffic problems as it will point out the malfunctioning junctions. this plugin can be used as a simple roadmap layer or a road map with a basemap to it such as normal googlemap baseman, satellite, hybrid or in the future this plugin will have more traffic data sources such as TOMTOM HERE .... etc to be able to have a more indepth understanding of the traffic]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ADEL98D/QGIS-Traffic-Viewer]]></homepage>
        <file_name>Traffic-Viewer.0.1.1.zip</file_name>
        <icon>/media/packages/2021/icon_2x06Lxd.png</icon>
        <author_name><![CDATA[Adel HADDID. Amine LARBI]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Traffic-Viewer/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[adel98]]></uploaded_by>
        <create_date>2021-11-13T08:14:27.461295+00:00</create_date>
        <update_date>2021-11-15T15:55:02.605808+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ADEL98D/QGIS-Traffic-Viewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/ADEL98D/QGIS-Traffic-Viewer]]></repository>
        <tags><![CDATA[html,web,routing,wms,google,tiles,import,layers,traffic,road traffic]]></tags>
        <downloads>6741</downloads>
        <average_vote>3.85288451640417</average_vote>
        <rating_votes>68</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ThermalMetrics" version="0.3" plugin_id="2540">
        <description><![CDATA[This plugin helps to calculate basic metrics and indices from thermal images.]]></description>
        <about><![CDATA[This plugin helps to calculate several metrics and indices such as the Shannon Diversity Index and the Simpson Diversity Index from thermal images. It is especially useful for land, landscape and canopy surface temperature maps and images. However, it is still an experimental Plugin and especially the patch detection functions take quite long to calculate. It is a good idea to just grab a coffee and just wait until it is done calculating. Here is a tutorial: https://ecothermographylab.com/thermal-metrics/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FloEll/ThermalMetrics]]></homepage>
        <file_name>thermalmetrics.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_JTRi7ca.png</icon>
        <author_name><![CDATA[Florian Ellsäßer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/thermalmetrics/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[floell]]></uploaded_by>
        <create_date>2021-11-20T13:27:43.097616+00:00</create_date>
        <update_date>2023-02-15T14:39:19.044717+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FloEll/ThermalMetrics/issues]]></tracker>
        <repository><![CDATA[https://github.com/FloEll/ThermalMetrics]]></repository>
        <tags><![CDATA[ecology,raster,landscape,lst,temperature,metrics,land surface temperatures,thermal,simpson diversity index,shannon diversity index,patch richness,gini-simpson diversity index]]></tags>
        <downloads>3322</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="rosreestr-search-qgis-plugin" version="1.7" plugin_id="2543">
        <description><![CDATA[Rosreestr NSPD search qgis plugin]]></description>
        <about><![CDATA[Search to Public Cadastral Map of Rosreestr NSPD - https://nspd.gov.ru/map
Loading layers of the NSD
Поиск по Публичной кадастровой карте НСПД
Загрузка слоёв НСПД]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/matmatamat/rosreestr-search-qgis-plugin]]></homepage>
        <file_name>rosreestr-search-qgis-plugin-master.1.7.zip</file_name>
        <icon>/media/packages/2026/icon_gVHGeHz.png</icon>
        <author_name><![CDATA[matmatamat]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rosreestr-search-qgis-plugin-master/version/1.7/download/</download_url>
        <uploaded_by><![CDATA[matmatamat]]></uploaded_by>
        <create_date>2021-11-23T09:31:02.001951+00:00</create_date>
        <update_date>2021-11-23T09:31:03.979021+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/matmatamat/rosreestr-search-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/matmatamat/rosreestr-search-qgis-plugin]]></repository>
        <tags><![CDATA[web]]></tags>
        <downloads>12519</downloads>
        <average_vote>4.520486020739441</average_vote>
        <rating_votes>73</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Project Packager" version="0.7" plugin_id="2546">
        <description><![CDATA[Gathers scattered data to make the project portable]]></description>
        <about><![CDATA[This plugin exports a portable project by copying data scattered on storage into a specified folder. When exporting, you can choose to copy the original files or store the data in a single GeoPackage. Note that if there is data that cannot be stored in GeoPackage, storage in GeoPackage will be disabled.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/ProjectPackager]]></homepage>
        <file_name>ProjectPackager.0.7.zip</file_name>
        <icon>/media/packages/2026/icon_NlChVsW.png</icon>
        <author_name><![CDATA[Tarot Osuji]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ProjectPackager/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[tarot]]></uploaded_by>
        <create_date>2021-11-27T06:42:36.210667+00:00</create_date>
        <update_date>2023-02-11T13:50:47.751854+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tarot231/qgis-project-packager-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/tarot231/qgis-project-packager-plugin]]></repository>
        <tags><![CDATA[project,geopackage]]></tags>
        <downloads>47274</downloads>
        <average_vote>4.291621962271226</average_vote>
        <rating_votes>96</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mesh Tools" version="0.8.4" plugin_id="2551">
        <description><![CDATA[Tools for management of Data on mesh (Telemac, Uhaina).]]></description>
        <about><![CDATA[Tools for for management of Data using Mesh format :
- Culvert Manager
- Sources Manager
- Mesh Quality Analysis
Developed by Aurélien Perrin (Artelia), Nicolas Godet (ISL),
and Christophe Coulet (BRGM)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Artelia/mesh_tools/wiki]]></homepage>
        <file_name>mesh_tools.0.8.4.zip</file_name>
        <icon>/media/packages/2025/icon_kEauyke.png</icon>
        <author_name><![CDATA[Artelia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mesh_tools/version/0.8.4/download/</download_url>
        <uploaded_by><![CDATA[ccoulet]]></uploaded_by>
        <create_date>2021-11-30T13:57:05.703509+00:00</create_date>
        <update_date>2025-06-30T12:53:50.536147+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Artelia/mesh_tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/Artelia/mesh_tools]]></repository>
        <tags><![CDATA[python,mesh,tool]]></tags>
        <downloads>4771</downloads>
        <average_vote>4.166319473377219</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Relief Fill" version="0.2" plugin_id="2553">
        <description><![CDATA[Masks out altitude or basins upstream or downstream from a starting point.]]></description>
        <about><![CDATA[This plugin runs a fill algorithm over a DEM to extract cells that are either upstream or downstream from a starting point and connected to it. It can extract :
- basins : algorithm only fetches neighboring cells that are continuously upstream or downstream from one another (drain to/from the starting point)
- altitudes : all connected cells that are above or below the starting elevation (creates an elevation mask).
Please note :
- the results are very dependent on the quality of the DEM, so make sure to fill the sinks in your DEM before running the plugin
- the input coordinates must be in the same CRS as the DEM raster
- if the result appears as an empty raster, try to reclassify it as &quot;unique values&quot; in the raster symbology tab
This plugin was developed using Plugin Builder and Plugin Reloader. The algorithms were built upon functions found in the following ressources :
- &quot;Learning Geospatial Analysis with Python&quot; (second edition) by Joel Lawhead (for the flood fill algorithm)
- Master Degree course material by Nicolas Karasiak (writing/reading rasters with GDAL).
Icon by Icons8 : https://icones8.fr/icon/Av4zJi08KK9C/spotted-patterns.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/r-nest/relief-fill]]></homepage>
        <file_name>relief_fill.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_zpkXf7l.png</icon>
        <author_name><![CDATA[Nicolas Specklin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/relief_fill/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[rnest]]></uploaded_by>
        <create_date>2021-12-02T20:37:38.633381+00:00</create_date>
        <update_date>2023-08-08T14:49:40.154444+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/r-nest/relief-fill]]></tracker>
        <repository><![CDATA[https://github.com/r-nest/relief-fill.git]]></repository>
        <tags><![CDATA[python,raster,dem,topography,relief]]></tags>
        <downloads>2727</downloads>
        <average_vote>0.9990009990009991</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Indigeo" version="0.3" plugin_id="2555">
        <description><![CDATA[Plugin pour QGIS 3 fournissant un accès simple aux flux de géographiques WMS d&#x27;Indigeo, l&#x27;infrastructure de données géographiques de l&#x27;UMR LETG (https://letg.cnrs.fr/).]]></description>
        <about><![CDATA[Plugin for QGIS 3 providing simple access to WMS geographic flows from Indigeo, the spatial data infrastructure of UMR LETG (https://letg.cnrs.fr/).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.in2p3.fr/letg/indigeo-for-qgis]]></homepage>
        <file_name>indigeo.0.3.zip</file_name>
        <icon>/media/packages/2022/indigeo_UPXfqof.png</icon>
        <author_name><![CDATA[Neogeo Technologies, repris par région Bretagne, repris par l&#x27;UMR LETG.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/indigeo/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[jpierson]]></uploaded_by>
        <create_date>2021-12-10T13:15:55.522427+00:00</create_date>
        <update_date>2022-01-31T15:55:29.969453+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.in2p3.fr/letg/indigeo-for-qgis/issues]]></tracker>
        <repository><![CDATA[https://gitlab.in2p3.fr/letg/indigeo-for-qgis]]></repository>
        <tags><![CDATA[letg,indigeo]]></tags>
        <downloads>1028</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Deep Learning Datasets Maker" version="0.2.1" plugin_id="2556">
        <description><![CDATA[tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets]]></description>
        <about><![CDATA[tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets. Divide remote sensing images and their labels into data sets of specified size. (512×512 for example)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/deepbands/deep-learning-datasets-maker]]></homepage>
        <file_name>deep-learning-datasets-maker.0.2.1.zip</file_name>
        <icon>/media/packages/2022/icon_9Rfidl6.png</icon>
        <author_name><![CDATA[deepbands (Youssef Harby and Yizhou Chen)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/deep-learning-datasets-maker/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[deepbands]]></uploaded_by>
        <create_date>2021-12-11T04:40:00.358152+00:00</create_date>
        <update_date>2022-01-19T02:15:29.531264+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/deepbands/deep-learning-datasets-maker/issues]]></tracker>
        <repository><![CDATA[https://github.com/deepbands/deep-learning-datasets-maker]]></repository>
        <tags><![CDATA[digitizing,classification,remote sensing,roads,feature extraction,forest,satellite,forestry,machine learning,deep learning,artificial intelligence,construction detection,building detection,agricultural field detection,datasets maker]]></tags>
        <downloads>5350</downloads>
        <average_vote>4.181438051086265</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Burying_Laterals" version="0.1" plugin_id="2557">
        <description><![CDATA[This plugin is used for accurately burying the laterals along a main in a subsurface tile drainage system, using the field profile from a DEM with a defined area.]]></description>
        <about><![CDATA[This plugin is used for accurately burying the laterals along a main in a subsurface tile drainage system, using the field profile from a DEM with a defined area.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FVW-Services/Burying_Laterals]]></homepage>
        <file_name>burying_laterals.0.1.zip</file_name>
        <icon>/media/packages/2021/icon_CLhDnl9.png</icon>
        <author_name><![CDATA[FALASY Anamelechi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/burying_laterals/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[fvwservices]]></uploaded_by>
        <create_date>2021-12-14T09:05:49.793530+00:00</create_date>
        <update_date>2021-12-14T09:05:51.593345+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FVW-Services/Burying_Laterals/issues]]></tracker>
        <repository><![CDATA[https://github.com/FVW-Services/Burying_Laterals]]></repository>
        <tags><![CDATA[python,laterals,elevation depths,subsurface drainage,tile drainage,main,bury laterals]]></tags>
        <downloads>1160</downloads>
        <average_vote>3.4982508745627188</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="buildSeg" version="0.1" plugin_id="2560">
        <description><![CDATA[Deep learning building segmentation.]]></description>
        <about><![CDATA[Deep learning building segmentation base on ONNX.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/deepbands/buildseg]]></homepage>
        <file_name>buildseg.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_WmFUzLv.png</icon>
        <author_name><![CDATA[deepbands (Yizhou Chen and Youssef Harby)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/buildseg/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[deepbands]]></uploaded_by>
        <create_date>2021-12-14T13:24:49.738082+00:00</create_date>
        <update_date>2021-12-14T13:24:49.953668+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/deepbands/buildseg/issues]]></tracker>
        <repository><![CDATA[https://github.com/deepbands/buildseg]]></repository>
        <tags><![CDATA[python,remote sensing,satellite,deep learning,building segmentation,deepbands]]></tags>
        <downloads>9727</downloads>
        <average_vote>3.8996100389961006</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGreenland Custom" version="0.1.0" plugin_id="2563">
        <description><![CDATA[No longer supported. Allowed download of individual QGreenland datasets.]]></description>
        <about><![CDATA[This plugin - no longer supported - allowed search and download of QGreenland data into QGIS. Please visit https://qgreenland.org for information on how to download the QGreenland Core package for QGIS instead.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nsidc/qgreenland-plugin#readme]]></homepage>
        <file_name>qgreenland.0.1.0.zip</file_name>
        <icon>/media/packages/2022/qgreenland-icon.png</icon>
        <author_name><![CDATA[Matteo Ghetta (Faunalia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgreenland/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[qgreenland]]></uploaded_by>
        <create_date>2021-12-24T17:45:20.225414+00:00</create_date>
        <update_date>2021-12-24T17:45:22.521732+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/nsidc/qgreenland-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/nsidc/qgreenland-plugin]]></repository>
        <tags><![CDATA[download,remote,greenland,dataset]]></tags>
        <downloads>2011</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LocalSoftware-QGIS" version="0.4" plugin_id="2564">
        <description><![CDATA[Connecting CAD and GIS software]]></description>
        <about><![CDATA[Local Software connects two previously separate ways of looking at the world digitally; Geographic Information Systems (GIS) and Computer-Aided Design (CAD). Local Software systematically connects what we know about the world to what we make in it. This Local Software QGIS Plugin imports, exports, or makes a set of geoJSON site packages with QGIS. Site packages can be imported into Rhino with Grasshopper Local Software components.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://beta.uselocalco.de/]]></homepage>
        <file_name>LocalSoftware-QGIS.0.4.zip</file_name>
        <icon>/media/packages/2023/icon_zyTpS5h.png</icon>
        <author_name><![CDATA[LocalSoftware]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LocalSoftware-QGIS/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[csandova]]></uploaded_by>
        <create_date>2021-12-27T01:41:28.996897+00:00</create_date>
        <update_date>2023-05-02T20:49:08.932833+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/localsoftware/localsoftware_QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/localsoftware/localsoftware_QGIS]]></repository>
        <tags><![CDATA[python,cad,gis,urban-planning,parametric-design]]></tags>
        <downloads>2247</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Azimuth Measurement Map Tool" version="0.1" plugin_id="2567">
        <description><![CDATA[Measure azimuth and distance between two points]]></description>
        <about><![CDATA[* Choice of geodetic values on the WGS84 ellipsoid or cartesian coordinates.
* Snapping is supported.

This plugin adds a new map tool to the QGIS interactive measurements toolbox and to the measurements menu (View → Measure → Measure Azimuth).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/azimuth-measurement]]></homepage>
        <file_name>azimuth_distance_measurement.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_K5gTg2X.png</icon>
        <author_name><![CDATA[Aaltronav s.r.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/azimuth_distance_measurement/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[aaltronav]]></uploaded_by>
        <create_date>2022-01-03T06:41:36.573491+00:00</create_date>
        <update_date>2022-01-03T06:41:37.006206+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/azimuth-measurement/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/azimuth-measurement/-/tree/devel]]></repository>
        <tags><![CDATA[python,measurement,azimuth,map tool]]></tags>
        <downloads>23099</downloads>
        <average_vote>3.9998400063997437</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dyna Crop" version="0.1.10" plugin_id="2568">
        <description><![CDATA[This plugin connect to DynaCrop World From Space API.]]></description>
        <about><![CDATA[This plugin connect to DynaCrop World From Space API. Documentation at https://docs.dynacrop.space/docs/#/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://dynacrop.space/]]></homepage>
        <file_name>qgis-world-from-space-plugin-v_0_1_10_beta.0.1.10.zip</file_name>
        <icon>/media/packages/2022/icon_HhJX6lJ.png</icon>
        <author_name><![CDATA[Jan Ruzicka, Otto Kalab, Katerina Ruzickova]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-world-from-space-plugin-v_0_1_10_beta/version/0.1.10/download/</download_url>
        <uploaded_by><![CDATA[wfs]]></uploaded_by>
        <create_date>2022-01-03T15:26:33.860767+00:00</create_date>
        <update_date>2022-01-03T15:26:34.151267+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenGeoLabs/qgis-world-from-space-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenGeoLabs/qgis-world-from-space-plugin/]]></repository>
        <tags><![CDATA[earth observation,crop,vegetation indexes]]></tags>
        <downloads>1003</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="P1/90 Import" version="0.2" plugin_id="2569">
        <description><![CDATA[Read UKOOA P1/90 files]]></description>
        <about><![CDATA[Import UKOOA P1/90 files as a QGIS layer or layer group.

* Filter records by type (S, V, E, T, …)
* Partial import based on shotpoint range
* Import by geodetic or grid coordinates
* Import R (receiver) records
* Option to import shots as individual layers (useful when bringing in receivers)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/geophysics/p190-import]]></homepage>
        <file_name>p190_import.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_NseoPI7.png</icon>
        <author_name><![CDATA[Aaltronav s.r.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/p190_import/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[aaltronav]]></uploaded_by>
        <create_date>2022-01-04T10:45:56.875192+00:00</create_date>
        <update_date>2022-01-04T10:45:59.037311+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/geophysics/p190-import/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/geophysics/p190-import/-/tree/devel]]></repository>
        <tags><![CDATA[python,seismic,p190,ukooa,p1]]></tags>
        <downloads>3571</downloads>
        <average_vote>4.374453193350831</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Magnetic Bearing Measurement Map Tool" version="0.2" plugin_id="2572">
        <description><![CDATA[Measure magnetic bearing and distance between two points]]></description>
        <about><![CDATA[This plugin adds a new map tool to the QGIS interactive measurements toolbox and to the measurements menu (View → Measure → Measure Magnetic Bearing).

* Toggle between geodetic (° T) and magnetic (° M) bearings.
* View declination at start point and model error estimation.
* Uses the WMM2025 model, valid for dates in the range 2025.0 to 2030.0.
* Temporal controller aware: uses the beginning of the current timeframe if the controller is active; otherwise it uses current time as the reference epoch.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/magnetic-bearing-measurement]]></homepage>
        <file_name>magnetic_bearing_measurement.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_7NHAadd.png</icon>
        <author_name><![CDATA[Aaltronav s.r.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/magnetic_bearing_measurement/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[aaltronav]]></uploaded_by>
        <create_date>2022-01-05T18:39:44.000002+00:00</create_date>
        <update_date>2022-01-06T09:05:37.098437+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/magnetic-bearing-measurement/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/aaltronav/foss/qgis/plugins/generic/magnetic-bearing-measurement/-/tree/devel]]></repository>
        <tags><![CDATA[python,measurement,azimuth,magnetic,declination,map tool,wmm,wmm2025]]></tags>
        <downloads>10647</downloads>
        <average_vote>4.23044381201446</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dasy" version="0.2" plugin_id="2578">
        <description><![CDATA[EO-based method for generating POP density grid map (reproducible for European cities)]]></description>
        <about><![CDATA[DATA SAMPLE POP vector input (file): https://github.com/AM-IIA/datavlab/blob/master/Data/POPBari_2020.zip?raw=true Urban Atlas vector input (file): https://github.com/AM-IIA/datavlab/blob/master/Data/UrbanAtlas.zip?raw=true Buildings raster input (file): https://github.com/AM-IIA/datavlab/blob/master/Data/Buildings.zip?raw=true]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MarA-iia/Dasymetric3]]></homepage>
        <file_name>dasy.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Mariella Aquilino]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dasy/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mariia]]></uploaded_by>
        <create_date>2022-01-10T19:24:20.170361+00:00</create_date>
        <update_date>2022-01-29T08:04:11.832041+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MarA-iia/Dasymetric3]]></tracker>
        <repository><![CDATA[https://github.com/MarA-iia/Dasymetric3]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>886</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS GeoNode" version="1.0.0-rc1" plugin_id="2580">
        <description><![CDATA[A QGIS plugin for integrating with modern GeoNode]]></description>
        <about><![CDATA[This plugin adds GeoNode client functionality to QGIS - search, load and manage GeoNode resources from inside QGIS.

Initial development has been commissioned by the by the Pacific Community (SPC), with funcding from the World Bank, and implemented by the Kartoza and GeoSolutions teams. The plugin is actively maintained and aims to keep up to date with changes in the GeoNode API.

Check the website for a user guide and more detail.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geonode.org/QGISGeoNodePlugin]]></homepage>
        <file_name>qgis_geonode.1.0.0-rc1.zip</file_name>
        <icon>/media/packages/2025/plugin-logo_0oFgawC.png</icon>
        <author_name><![CDATA[GeoNode Development Team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_geonode/version/1.0.0-rc1/download/</download_url>
        <uploaded_by><![CDATA[ricardogsilva]]></uploaded_by>
        <create_date>2022-01-12T22:23:00.473279+00:00</create_date>
        <update_date>2022-02-23T14:47:54.968949+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoNode/QGISGeoNodePlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoNode/QGISGeoNodePlugin]]></repository>
        <tags><![CDATA[wfs,wms,wcs,geonode]]></tags>
        <downloads>15026</downloads>
        <average_vote>4.368191147834324</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Faceted Feature Select" version="0.1" plugin_id="2581">
        <description><![CDATA[User-definable faceted feature selection form. Experimental work-in-progress prototype.]]></description>
        <about><![CDATA[We are playing around with different approaches to provide users with a graphical way of setting up a custom form to filter and select features by multiple, potentially hierarchical or mixed criteria.

This current prototyp allows users to specify attribute fields and filter types to search matching features. The map is filtered to the matching features and the user can choose to take matches into a selection. Compared to the built-in search and filter options, this allows using the same attribute field multiple once and provides real-time feedback on the map canvas.

There will be bugs and the usage is not too user-friendly at the moment. It is marked experimental for a reason. We have lots of ideas and plans to play with in the future and thus this plugin will probably change a lot until it is fit for end users. Examples are performance improvements, other chaining of facets than `AND`, other filtering approaches than the &quot;SQL&quot;-ish layer filter, loading/saving of form configurations, etc.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/WhereGroup/FacetedFeatureSelect]]></homepage>
        <file_name>FacetedFeatureSelect.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_zGJLKXA.png</icon>
        <author_name><![CDATA[WhereGroup GmbH, Johannes Kröger, Paul Schmidt]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FacetedFeatureSelect/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jkroegerwg]]></uploaded_by>
        <create_date>2022-01-13T12:42:56.522777+00:00</create_date>
        <update_date>2022-01-13T12:42:56.737494+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WhereGroup/FacetedFeatureSelect/issues]]></tracker>
        <repository><![CDATA[https://github.com/WhereGroup/FacetedFeatureSelect]]></repository>
        <tags><![CDATA[vector,selection,python,search,attribute]]></tags>
        <downloads>1038</downloads>
        <average_vote>3.999333444425929</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QMapshaper" version="0.4.0" plugin_id="2589">
        <description><![CDATA[This allows running mapshaper tool (need to be locally installed) as a processing tool or using interactive GUI tool.]]></description>
        <about><![CDATA[This allows running mapshaper tool (need to be locally installed) as a processing tool or using interactive GUI tool.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://jancaha.github.io/qgis-qmapshaper/]]></homepage>
        <file_name>qmapshaper.0.4.0.zip</file_name>
        <icon>/media/packages/2023/qmapshaper.png</icon>
        <author_name><![CDATA[Jan Caha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qmapshaper/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[cahik]]></uploaded_by>
        <create_date>2022-02-02T15:15:20.528971+00:00</create_date>
        <update_date>2022-02-11T12:39:51.399690+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JanCaha/qgis-qmapshaper/issues]]></tracker>
        <repository><![CDATA[https://github.com/JanCaha/qgis-qmapshaper]]></repository>
        <tags><![CDATA[vector,generalization,simplication]]></tags>
        <downloads>11073</downloads>
        <average_vote>3.3156149676332825</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Brasil IDF 3.0" version="3.0" plugin_id="2591">
        <description><![CDATA[This plugin allows to get the I-D-F and P-D-F curve, the precipitation for a specific duration, and the design rain through alternating block method to any region in Brazil.]]></description>
        <about><![CDATA[This plugin was developed by Pachaly (2017) in order to obtain the I-D-F and P-D-F curve to any region in Brazil. The plugin also allows to get the precipition for a specific duration and the design rain through the Alternating Block Method. The plugin is based on &quot;Review of the high intensity rainfall zones of Brazil&quot; (Basso et al., 2016).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.facebook.com/UFSMecotecnologias/]]></homepage>
        <file_name>Brasil-IDF3.3.0.zip</file_name>
        <icon>/media/packages/2022/icon_1mLp2dn.png</icon>
        <author_name><![CDATA[Robson Leo Pachaly, Daniel Alassia, Raviel Eurico Basso, Jessica Ribeiro Fontoura]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Brasil-IDF3/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[jrfontoura]]></uploaded_by>
        <create_date>2022-02-03T19:07:07.538852+00:00</create_date>
        <update_date>2022-02-03T19:07:08.008348+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rpachaly/Brasil-IDF_3.0issues]]></tracker>
        <repository><![CDATA[https://github.com/rpachaly/Brasil-IDF_3.0]]></repository>
        <tags><![CDATA[pdf,idf,hidrologia,chuva de projeto,blocos alternados]]></tags>
        <downloads>1895</downloads>
        <average_vote>3.799240151969606</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ARPA data" version="0.1" plugin_id="2598">
        <description><![CDATA[This plugin downloads the data from ARPA Lombardia API]]></description>
        <about><![CDATA[This plugin downloads the data from ARPA Lombardia API and provide statistics according to the filters given by the user.

You can follow the steps under https://landscapearchaeology.org/2018/installing-python-packages-in-qgis-3-for-windows/ to install the following libraries on QGIS Python: sodapy.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MatPuche/arpa_data]]></homepage>
        <file_name>arpa_data.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_35fMqaT.png</icon>
        <author_name><![CDATA[Mathilde Puche]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arpa_data/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mathpche]]></uploaded_by>
        <create_date>2022-02-14T15:14:14.057106+00:00</create_date>
        <update_date>2022-02-14T15:14:14.474571+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MatPuche/arpa_data/issues]]></tracker>
        <repository><![CDATA[https://github.com/MatPuche/arpa_data]]></repository>
        <tags><![CDATA[python,weather,air quality,arpa]]></tags>
        <downloads>2048</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoPortal.rlp Metadata Search" version="0.3" plugin_id="2602">
        <description><![CDATA[GeoPortal.rlp metadata search module]]></description>
        <about><![CDATA[This plugin uses the REST search interface of GeoPortal.rlp for searching spatial datasets and services. It has also an option to search in remote CSW-based catalogues (e.g. in the INSPIRE Geoportal Catalogue and the german Geodatenkatalog.DE). WMS/WFS and OGC API Features interfaces can direct be loaded into the QGIS Browser.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.geoportal.rlp.de]]></homepage>
        <file_name>gprlp_metadata_search.0.3.zip</file_name>
        <icon>/media/packages/2022/icon_4hKke27.png</icon>
        <author_name><![CDATA[Armin Retterath]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gprlp_metadata_search/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[armin11]]></uploaded_by>
        <create_date>2022-02-17T00:51:39.818464+00:00</create_date>
        <update_date>2022-03-04T14:39:06.827842+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mrmap-community/gprlp_metadata_search/issues]]></tracker>
        <repository><![CDATA[https://github.com/mrmap-community/gprlp_metadata_search]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8348</downloads>
        <average_vote>3.66625930452172</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Modzy" version="0.2" plugin_id="2613">
        <description><![CDATA[This plugin provides seamless access to Modzy&#x27;s ML, DL and AI models.
Please be sure to install the Modzy SDK to QGIS:
- Mac OS X: In a terminal, execute: /Applications/QGIS.app/Contents/MacOS/bin/python3 -m pip install modzy-sdk
- Windows: In a terminal, execute: C:\OSGeo4W\apps\Python39&gt;pip install modzy-sdk
To see more documentation, please view this page on Modzy&#x27;s official documentation site.]]></description>
        <about><![CDATA[Modzy hosts a public marketplace of ML, AI algorithms for use as well as a private library for subscribers. This plugin provides seamless access to Modzy&#x27;s ML, DL and AI models.
Please be sure to install the Modzy SDK to QGIS:
- Mac OS X: In a terminal, execute: /Applications/QGIS.app/Contents/MacOS/bin/python3 -m pip install modzy-sdk
- Windows: In a terminal, execute: C:\OSGeo4W\apps\Python39&gt;pip install modzy-sdk+
To see more documentation, please view this page on Modzy&#x27;s official documentation site.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.modzy.com/docs/qgis]]></homepage>
        <file_name>Modzy-QGIS-Plugin-main.0.2.zip</file_name>
        <icon>/media/packages/2022/icon_RvuWbeb.png</icon>
        <author_name><![CDATA[Modzy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Modzy-QGIS-Plugin-main/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[bheliker]]></uploaded_by>
        <create_date>2022-02-22T23:41:37.775225+00:00</create_date>
        <update_date>2022-02-22T23:41:38.125207+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/modzy/Modzy-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/modzy/Modzy-QGIS-Plugin/]]></repository>
        <tags><![CDATA[python,modelops,ai,modzy,ml]]></tags>
        <downloads>4339</downloads>
        <average_vote>4.713612341094129</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoQ" version="1.4" plugin_id="2621">
        <description><![CDATA[Automatización del procesamiento de cálculo de la escorrentía superficial con el método de Número de Curva]]></description>
        <about><![CDATA[La modelización de fenómenos hidrológicos permite calcular o cuantificar la cantidad de precipitación de una tormenta que se infiltra o escurre superficialmente, teniendo en cuenta sus características de uso y cobertura del suelo y textura edáfica. GeoQ realiza esta modelación implementado la metodología del Número de Curva (NC) del Soil Conservation Service.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fabalmon/GeoQ]]></homepage>
        <file_name>GeoQ-main.1.4.zip</file_name>
        <icon>/media/packages/2024/logo-mich_yCJTfhs.png</icon>
        <author_name><![CDATA[Fabio Alejandro Montealegre Medina- Fernanda Julia Gaspari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoQ-main/version/1.4/download/</download_url>
        <uploaded_by><![CDATA[fabalmon405513]]></uploaded_by>
        <create_date>2022-03-02T01:23:18.897345+00:00</create_date>
        <update_date>2022-03-02T01:23:19.281715+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fabalmon/GeoQ]]></tracker>
        <repository><![CDATA[https://github.com/fabalmon/GeoQ]]></repository>
        <tags><![CDATA[calculator,vector,shapefile,intersection,polygon,flood,land cover,geoq,runoff]]></tags>
        <downloads>3156</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Linking Relation Editor" version="v1.1.9" plugin_id="2632">
        <description><![CDATA[Provides a relation editor widget with an alternative link child dialog]]></description>
        <about><![CDATA[Provides a relation editor widget with an alternative link child dialog]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis-linking-relation-editor]]></homepage>
        <file_name>linking_relation_editor.v1.1.9.zip</file_name>
        <icon>/media/packages/2026/LinkingRelationEditor-icon.svg</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/linking_relation_editor/version/v1.1.9/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2022-03-18T09:32:40.368006+00:00</create_date>
        <update_date>2023-04-10T18:41:43.046806+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis-linking-relation-editor/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis-linking-relation-editor]]></repository>
        <tags><![CDATA[relation]]></tags>
        <downloads>26226</downloads>
        <average_vote>3.832694550908182</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Export Projet" version="0.2" plugin_id="2635">
        <description><![CDATA[Domaine : déploiement de la fibre optique

Cette extension permet de passer d&#x27;un QGIS en phase de préparation à un QGIS en phase de suivis travaux.

Il est nécessaire d&#x27;avoir :
- une couche pour les boites : &quot;ebp&quot; ;
- une couche pour les points techniques : &quot;ptech&quot; ;
- une couche pour les câbles : &quot;cable&quot; ;
- les couches complétant le projet (par exemple : sro, cable_interne, etc).

Faire attention à bien respecter les trois premiers nommages.

1. Choisir un dossier où générer le nouveau QGIS
2. Cocher le bouton
3. Lancer
(4. Si réutilisation sur le même projet, installer reload_plugins et l&#x27;exécuter sur cette extension en raison de certains problèmes non résolus à l&#x27;instant)

Résultat : Nouveau QGIS, nouvelles couches + mis en forme des boîtes, points techniques et câbles pour le suivi des travaux.

.........................................................
.........................................................

Field: deployment of optical fiber

This extension allows you to switch from a QGIS in the preparation phase to a QGIS in the work monitoring phase.

It is necessary to have:
- a layer for the boxes: &quot;ebp&quot;;
- a layer for the technical points: &quot;ptech&quot;;
- a layer for the cables: &quot;cable&quot;;
- the layers completing the project (for example: optical sub_distributor, intern_cable, etc).

Be careful to respect the first three names.

1. Choose a folder where to generate the new QGIS
2. Check the radiobutton
3. Launch
(4. If you use the extension more than one time on the same project, install reload_plugins and run it on this extension due to some unresolved issues at the moment)

Result: New QGIS, new layers + formatted boxes, technical points and cables for work monitoring.]]></description>
        <about><![CDATA[Cette extension se base sur un manuel d&#x27;utilisation en interne.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JeremyRbs/Eiffage/tree/main/export_projet]]></homepage>
        <file_name>export_projet.0.2.zip</file_name>
        <icon>/media/packages/2022/icon_CptODKc.png</icon>
        <author_name><![CDATA[Jérémy RIBES _ Eiffage Énergie Systèmes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/export_projet/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[jeremyrbs]]></uploaded_by>
        <create_date>2022-03-21T12:50:04.210728+00:00</create_date>
        <update_date>2022-03-22T07:25:23.892894+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JeremyRbs/Eiffage/tree/main/export_projet]]></tracker>
        <repository><![CDATA[https://github.com/JeremyRbs/Eiffage/tree/main/export_projet]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1892</downloads>
        <average_vote>4.7497031435535275</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Rename Bands" version="0.1" plugin_id="2640">
        <description><![CDATA[Rename and reorder raster bands]]></description>
        <about><![CDATA[This plugin renames and reorder bands in a raster layer, see home page for more details.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.in2p3.fr/julie.pierson/rename_bands]]></homepage>
        <file_name>rename_bands.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[J. Pierson, UMR 6554 LETG, CNRS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rename_bands/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jpierson]]></uploaded_by>
        <create_date>2022-03-30T10:38:12.156605+00:00</create_date>
        <update_date>2022-03-30T10:38:12.513173+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.in2p3.fr/julie.pierson/rename_bands]]></tracker>
        <repository><![CDATA[https://gitlab.in2p3.fr/julie.pierson/rename_bands]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3665</downloads>
        <average_vote>4.1330577961469235</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OSM SidewalKreator" version="0.10" plugin_id="2642">
        <description><![CDATA[Plugin designated to create the Geometries of Sidewalks (separated from streets) based on OpenStreetMap Streets, given a bounding polygon, outputting to a .geojson to be imported on JOSM. It is mostly intended for accessibility Mapping. Also includes a Processing provider with algorithms for protoblock and full sidewalk network generation.]]></description>
        <about><![CDATA[- Sidewalk generation from OSM highways with configurable widths and classes
- Optional building/address data fetch for improved geometry and segment splits
- Crossing line creation and kerb point extraction at intersections
- Export to JOSM‑ready GeoJSON for OSM editing
- Processing Provider version available, with additional algorithms]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kauevestena/osm_sidewalkreator]]></homepage>
        <file_name>osm_sidewalkreator.0.10.zip</file_name>
        <icon>/media/packages/2025/icon_INSLgDF.png</icon>
        <author_name><![CDATA[Kaue de Moraes Vestena]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/osm_sidewalkreator/version/0.10/download/</download_url>
        <uploaded_by><![CDATA[kauevestena]]></uploaded_by>
        <create_date>2022-03-31T22:25:58.487934+00:00</create_date>
        <update_date>2022-05-09T20:15:13.912517+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kauevestena/osm_sidewalkreator/issues]]></tracker>
        <repository><![CDATA[https://github.com/kauevestena/osm_sidewalkreator]]></repository>
        <tags><![CDATA[vector,openstreetmap,osm,processing,accessibility,sidewalks]]></tags>
        <downloads>21783</downloads>
        <average_vote>4.521542541628625</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Clear Null Geometry" version="0.1" plugin_id="2647">
        <description><![CDATA[Clear Null Geometry is a QGIS Plugin which is use to remove all Null geometries from selected layers.  Part of MAS Vector Processing tools.]]></description>
        <about><![CDATA[This plugin deletes all NULL geometry from the shapefile. New users of QGIS easily creates NULL geometry to shapefiles when they trying to delete a geometry and facing difficulties to delete all of them easily, this plugin will help them to delete all NULL geometry from all selected layers. 
Steps to Use it: 
1. At first Install this plugins and check it available. 
2. Select all opened layers from &#x27;Layer&#x27; panel. 
3. Click on the tool from toolbar (&quot;MAS ** Vector Processing&quot; Toolbar) or 
    select Vector menu --&gt; MAS Vector Processing --&gt; Clear Null Geometry. 
* Please give a vote (stars) according to your experiences, it will motivate me. If you required any other tools or plugins please contact with me &quot;mastools.help@gmail.com&quot;.
** MAS refer to my name &quot;Mirjan Ali Sha&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Mirjan-Ali-Sha/clear_null_geometry/wiki]]></homepage>
        <file_name>clear_null_geometry.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_05prtsN.png</icon>
        <author_name><![CDATA[Mirjan Ali Sha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/clear_null_geometry/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mirjanalisha]]></uploaded_by>
        <create_date>2022-04-03T18:26:23.592089+00:00</create_date>
        <update_date>2022-04-03T18:26:25.707344+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Mirjan-Ali-Sha/clear_null_geometry/issues]]></tracker>
        <repository><![CDATA[https://github.com/Mirjan-Ali-Sha/clear_null_geometry]]></repository>
        <tags><![CDATA[vector,editing,python,digitizing,geometry,nullgeometry]]></tags>
        <downloads>10447</downloads>
        <average_vote>4.585254018194679</average_vote>
        <rating_votes>41</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Civil Engineering Tools Provider" version="0.1" plugin_id="2648">
        <description><![CDATA[Tools to automate the early design of civil engineering projects. This is a Provider with three tools: Reservoir, Earthworks and LRS]]></description>
        <about><![CDATA[Reservoir creates a basic dam design and calculates the related flooding area. Earthworks create the cut &amp; fill earthwork for a platform area. LRS creates marks and text for linear referencing system of polylines.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MBR111/CivilEng]]></homepage>
        <file_name>CivilEng.0.1.zip</file_name>
        <icon>/media/packages/2022/Civileng.png</icon>
        <author_name><![CDATA[Iñigo Marin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CivilEng/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mbr111]]></uploaded_by>
        <create_date>2022-04-03T21:24:41.683032+00:00</create_date>
        <update_date>2022-04-03T21:24:42.065591+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MBR111/CivilEng/issues]]></tracker>
        <repository><![CDATA[https://github.com/MBR111/CivilEng]]></repository>
        <tags><![CDATA[python,dam,reservoir,hidrology,earthworks,lake]]></tags>
        <downloads>9670</downloads>
        <average_vote>4.3927002607049745</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer classifier" version="1.0" plugin_id="2651">
        <description><![CDATA[Layer classifier in: quantiles, Weber - Fechner, progressive]]></description>
        <about><![CDATA[Qgis plugin to classify by various methods a geographic layer]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/vichdzgeo/layer-classifier]]></homepage>
        <file_name>layer-classifier.1.0.zip</file_name>
        <icon>/media/packages/2022/icon_11Ntvaj.png</icon>
        <author_name><![CDATA[Victor Hernandez Diaz, Luis Bojorquez Tapia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer-classifier/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[victorhdzgeo]]></uploaded_by>
        <create_date>2022-04-05T06:15:55.337306+00:00</create_date>
        <update_date>2022-04-05T06:15:55.636796+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vichdzgeo/layer-classifier]]></tracker>
        <repository><![CDATA[https://github.com/vichdzgeo/layer-classifier]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1029</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Switch active layer" version="0.1" plugin_id="2668">
        <description><![CDATA[Keyboard shortcut to change active layer up or down in legend.]]></description>
        <about><![CDATA[Keyboard shortcut to change active layer up or down.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Crapaud04/Switch_active_layer/]]></homepage>
        <file_name>switch_active_layer.0.1.zip</file_name>
        <icon>/media/packages/2022/active_layers.png</icon>
        <author_name><![CDATA[Thomas Ailhaud - SDIS 04]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/switch_active_layer/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[crapaud04]]></uploaded_by>
        <create_date>2022-04-26T14:59:13.474196+00:00</create_date>
        <update_date>2022-04-26T14:59:15.617728+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Crapaud04/Switch_active_layer/issues/]]></tracker>
        <repository><![CDATA[https://github.com/Crapaud04/Switch_active_layer]]></repository>
        <tags><![CDATA[layers]]></tags>
        <downloads>897</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Smarty" version="0.1" plugin_id="2669">
        <description><![CDATA[Smarty Geocoding QGIS Plugin]]></description>
        <about><![CDATA[&lt;b&gt;Simple and Accurate Geocoding For Your Maps&lt;/b&gt;&lt;br&gt;&lt;br&gt;Smarty’s QGIS Geocoding plugin allows you to interactively geocode US addresses on your QGIS maps. There are several geocoding plugins in QGIS to choose from, but Smarty&#x27;s plugin is the easiest to use and the most accurate, with addresses being geocoded down to the rooftop and parcel levels. Subaddress geocodes are also available for secondary addresses such as  apartments and suites.&lt;br&gt;&lt;br&gt;&lt;b&gt;Address Verification, Standardization, and Autocomplete Included&lt;/b&gt;&lt;br&gt;&lt;br&gt;Simply enter an address and let our plugin validate, standardize, geocode, and plot it on your map. It even uses our US Address Autocomplete product to help you avoid entering errant address information.&lt;br&gt;&lt;br&gt;&lt;b&gt;Batch Geocoding Available&lt;/b&gt;&lt;br&gt;&lt;br&gt;While a subscription is not required to use the plugin, Smarty customers with a US Rooftop Geocoding subscription have the additional benefit of geocoding large batches of addresses at rates of up to 600-700 records/sec.&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;&lt;a href=&quot;https://www.smarty.com/docs/qgis-geocoding-plugin-us-address&quot;&gt;Read the documentation for this plugin&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://www.smarty.com/plugins/qgis-geocoding-plugin-us-address&quot;&gt;Learn more about Smarty&#x27;s QGIS Geocoding Plugin - US Address&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://www.smarty.com/products/us-rooftop-geocoding#geocoding-tool&quot;&gt;Learn more about Smarty&#x27;s US Rooftop Geocoding&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&quot;https://www.smarty.com/&quot;&gt;Visit Smarty.com&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Additional Metadata Output&lt;/b&gt;&lt;br&gt;&lt;br&gt;Output fields include parsed, standardized address components, ZIP+4 Code, precision match level, county name, FIPS Code, congressional district, time zone with Daylight Savings Indicator, and whether the address is residential or commercial (RDI).&lt;br&gt;&lt;br&gt;&lt;p&gt;&lt;strong&gt;Software Support Policy&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Smarty&#x27;s software is designed to provide optimal performance, security, and stability. To ensure the highest quality of service, we only offer support for the most recent &lt;strong&gt;Long-Term Release (LTR)&lt;/strong&gt; version.&lt;/p&gt;&lt;p&gt;Other versions of this plugin, including previous LTR releases, may not receive updates, bug fixes, or technical assistance. We strongly recommend all users use the latest LTR version to benefit from ongoing support and improvements.&lt;/p&gt;&lt;p&gt;For more details on supported versions and upgrade recommendations, please refer to our official documentation or contact our support team.&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/smartystreets/qgis-plugin]]></homepage>
        <file_name>smarty.0.1.zip</file_name>
        <icon>/media/packages/2025/smarty-icon-gradient_TldpVMw.png</icon>
        <author_name><![CDATA[Smarty]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/smarty/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[smarty]]></uploaded_by>
        <create_date>2022-04-27T18:40:39.834811+00:00</create_date>
        <update_date>2022-04-27T18:40:40.189708+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/smartystreets/qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/smartystreets/qgis-plugin]]></repository>
        <tags><![CDATA[python,geocoding,address,geocode,geocoder,address validation,address correction,address verification,address standardization,address parsing,address matching,time zone,rdi,rooftop,county fips codes,congressional district,daylight savings,residential or commercial]]></tags>
        <downloads>9861</downloads>
        <average_vote>4.499750013888117</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Space Time Cube" version="1.0" plugin_id="2674">
        <description><![CDATA[This plugin creates a space-time cube based on given data.]]></description>
        <about><![CDATA[The main purpose of the plugin is the detection of hot spots (space-time clusters) localised in space and time using two different statistics: Getis-Ord and Local Moran&#x27;s I.
The plugin is composed of four tabs, in which the first one obtains the inputs -a space-time point dataset and the dimensions of the cube. The second and third tabs allows interactive analysis. &quot;Temporal Change&quot; tab allows temporal analysis on a selected cell. &quot;Neighbours&quot; tab allows investigation of the neighbouring cells of a selected cell. Finally, &quot;Simulation&quot; tab allows generation of random space-time point dataset for further analysis.
The four outputs of the plugin are as follows:
1. A csv file detailing the chosen statistics values at the cell level.
2. A csv file that providing information for individual points.
3. A shape file that visualises the created cells.
4. The tiff files for each time slice demonstrating the cell&#x27;s statistics to allow raster analysis.
Video tutorial: https://www.youtube.com/watch?v=Ibbs7u-iawE]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/banbar/SpaceTimeCube]]></homepage>
        <file_name>space_time_cube.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_cGYpJiY.png</icon>
        <author_name><![CDATA[Murat Çalışkan, Berk Anbaroğlu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/space_time_cube/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[banbar]]></uploaded_by>
        <create_date>2022-04-28T18:57:37.759158+00:00</create_date>
        <update_date>2022-04-28T18:57:39.630228+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/banbar/SpaceTimeCube/issues]]></tracker>
        <repository><![CDATA[https://github.com/banbar/SpaceTimeCube]]></repository>
        <tags><![CDATA[python,hot spot,space time cube]]></tags>
        <downloads>3351</downloads>
        <average_vote>4.356831654881795</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="autoesda Report Generator" version="0.1" plugin_id="2677">
        <description><![CDATA[This plugin automates the exploratory spatial data analysis (ESDA) process by summarizing numerous statistics in an HTML report.]]></description>
        <about><![CDATA[This plugin automates the exploratory spatial data analysis (ESDA) process by summarizing numerous statistics in an HTML report.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NicholasDeKock/autoesda_plugin]]></homepage>
        <file_name>autoesda_plugin.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_XRuIbon.png</icon>
        <author_name><![CDATA[Nicholas De Kock]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/autoesda_plugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[nicdekock]]></uploaded_by>
        <create_date>2022-04-30T11:22:41.179260+00:00</create_date>
        <update_date>2022-04-30T11:22:41.676812+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NicholasDeKock/autoesda_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/NicholasDeKock/autoesda_plugin]]></repository>
        <tags><![CDATA[calculator,html,analysis,export,statistics,processing,esda]]></tags>
        <downloads>1329</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Superficial Water Extend" version="0.1" plugin_id="2678">
        <description><![CDATA[Calculate the area and the spatio-temporal variation of waters bodies.]]></description>
        <about><![CDATA[Calcular el area y la variacion espacio-temporal de las aguas superficiales, teniendo como datos de entradas imagenes Landsat. Genera una cartografia de los cuerpos de agua superficial para dos fechas diferentes. Calculate the area and the spatio-temporal variation of waters bodies, taking Landsat images as input data. Generate a mapping of surface water bodies for two different dates.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geoprograms/superficial_water_extend]]></homepage>
        <file_name>superficial_water_extend.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_rOsQga9.png</icon>
        <author_name><![CDATA[Manuel Guerra Jardinez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/superficial_water_extend/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[geoprograms]]></uploaded_by>
        <create_date>2022-05-02T11:13:48.823301+00:00</create_date>
        <update_date>2022-05-02T11:13:51.242243+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geoprograms/superficial_water_extend/issues]]></tracker>
        <repository><![CDATA[https://github.com/geoprograms/superficial_water_extend]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>774</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GWR(Processing)" version="0.1.2" plugin_id="2687">
        <description><![CDATA[A QGIS plugin for Geographically Weighted Regression(GWR).]]></description>
        <about><![CDATA[A QGIS plugin for Geographically Weighted Regression(GWR). The Plugin implements Gaussian Geographically Weighted Regression(GWR) to perform spatial analysis. Users can choose some parameters and perform action. And the results will display with style. The plugin requires MGWR (see the repository for installation instruction).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/XiangyangSong/GWR_Plugin]]></homepage>
        <file_name>GWR_Plugin-qgis3gwr1.0.1.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Song Xiangyang &amp; Gao Jiawei]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GWR_Plugin-qgis3gwr1/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[songplugins]]></uploaded_by>
        <create_date>2022-05-13T16:01:30.301015+00:00</create_date>
        <update_date>2022-05-13T16:01:30.706875+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/XiangyangSong/GWR_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/XiangyangSong/GWR_Plugin]]></repository>
        <tags><![CDATA[vector,python,export,import]]></tags>
        <downloads>4343</downloads>
        <average_vote>3.539929201415972</average_vote>
        <rating_votes>50</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapTileLoader" version="0.1" plugin_id="2690">
        <description><![CDATA[Download georeferenced parts of tile map services]]></description>
        <about><![CDATA[This plugin is a simple tool for downloading parts of popular web map services.
Only for non-commercial and educational purposes.
WARNING: Works only with Python&#x27;s Pillow module which has to be installed in QGIS

A brief instruction.
1. Select a web map source you want to clip
2. Set zoom level (the more value - the longer download process will be)
3. Draw a frame on map like a rectangle
4. Set folder to save your image
5. Press download.

In result you will see a georeferenced image cropped to frame. Additionaly you can unset &quot;Add image on load&quot; if you don&#x27;t want images to be automatically added to current project. You can also save your frames to *.xtnt files and then load them in after closing the widget]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pavelpereverzev/map_tile_loader]]></homepage>
        <file_name>map_tile_loader.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_FMFlzP9.png</icon>
        <author_name><![CDATA[Pavel Pereverzev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/map_tile_loader/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[kylsha]]></uploaded_by>
        <create_date>2022-05-14T14:45:10.187990+00:00</create_date>
        <update_date>2022-05-14T14:45:11.067555+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pavelpereverzev/map_tile_loader]]></tracker>
        <repository><![CDATA[https://github.com/pavelpereverzev/map_tile_loader]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>28681</downloads>
        <average_vote>4.39978001099945</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Custom News Feed" version="v.0.1.4" plugin_id="2691">
        <description><![CDATA[This plugin helps you display a newsfeed in QGIS.]]></description>
        <about><![CDATA[This QGIS plugin lets you display a feed of articles containing a title, date, text, image and link. The information to display is managed in a JSON-file, that can be provided locally or via url. Custom News Feed plugin is helpful if you want to distriubte news articles organisation-wide.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GeoWerkstatt/qgis-custom-news-feed]]></homepage>
        <file_name>custom_news_feed.v.0.1.4.zip</file_name>
        <icon>/media/packages/2024/icon_igT6qSN.png</icon>
        <author_name><![CDATA[GeoWerkstatt GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/custom_news_feed/version/v.0.1.4/download/</download_url>
        <uploaded_by><![CDATA[geowerkstatt]]></uploaded_by>
        <create_date>2022-05-16T08:05:00.152258+00:00</create_date>
        <update_date>2022-06-02T14:10:37.686783+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoWerkstatt/qgis-custom-news-feed/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoWerkstatt/qgis-custom-news-feed.git]]></repository>
        <tags><![CDATA[gis,feed,information,organisation,news]]></tags>
        <downloads>7343</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="autoPrint" version="0.3" plugin_id="2697">
        <description><![CDATA[Update the extent of LayoutItemMap and exports PDF]]></description>
        <about><![CDATA[Update the extent of LayoutItemMap and exports PDF.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/chrimohr/autoPrint]]></homepage>
        <file_name>auto_print.0.3.zip</file_name>
        <icon>/media/packages/2022/downloadIcon.png</icon>
        <author_name><![CDATA[Christoph Mohr]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/auto_print/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[chrimohr]]></uploaded_by>
        <create_date>2022-05-20T15:26:35.842505+00:00</create_date>
        <update_date>2022-05-20T15:26:38.132344+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chrimohr/autoPrint/issues]]></tracker>
        <repository><![CDATA[https://github.com/chrimohr/autoPrint]]></repository>
        <tags><![CDATA[print,layout]]></tags>
        <downloads>1747</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="appendToTheme" version="0.3" plugin_id="2698">
        <description><![CDATA[Append Layer to all selected map themes]]></description>
        <about><![CDATA[Append Layer to all selected map themes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/chrimohr/appendToTheme]]></homepage>
        <file_name>append_to_theme.0.3.zip</file_name>
        <icon>/media/packages/2022/addIcon.png</icon>
        <author_name><![CDATA[Christoph Mohr]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/append_to_theme/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[chrimohr]]></uploaded_by>
        <create_date>2022-05-20T15:32:21.570508+00:00</create_date>
        <update_date>2022-05-20T15:32:21.924407+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chrimohr/appendToTheme/issues]]></tracker>
        <repository><![CDATA[https://github.com/chrimohr/appendToTheme]]></repository>
        <tags><![CDATA[theme,maptheme]]></tags>
        <downloads>1206</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QNSPECT" version="0.0.1" plugin_id="2699">
        <description><![CDATA[QGIS Plugin for NOAA Nonpoint Source Pollution and Erosion Comparison Tool (NSPECT)]]></description>
        <about><![CDATA[QNSPECT is the QGIS implementation of the NOAA Office for Coastal Management&#x27;s (OCM) previous Nonpoint-Source Pollution and Erosion Comparison Tool (NSPECT). QNSPECT is a screening tool designed to allow users to estimate initial baseline pollution and erosion over an area and then compare how those values would change under a different land-use or management scenario. A user must have GRASS installed in QGIS to be able to use certain modules of the QNSPECT. Information and resources for using QNSPECT can be found on the NOAA Office for Coastal Management Digital Coast &lt;a href=&quot;https://coast.noaa.gov/digitalcoast/tools/qnspect.html&quot;&gt;QNSPECT Tool Page&lt;/a&gt;. See the &lt;a href=&quot;https://coast.noaa.gov/data/digitalcoast/pdf/qnspect-technical-guide.pdf&quot;&gt;Technical Guide&lt;/a&gt; for an overview of the typical QNSPECT workflow and a list of references. See the &lt;a href=&quot;https://coast.noaa.gov/digitalcoast/training/qnspect.html&quot;&gt;QNSPECT Tutorial&lt;/a&gt; for an interactive, self-paced introduction to the features and functionality of QNSPECT.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://coast.noaa.gov/digitalcoast/tools/qnspect.html]]></homepage>
        <file_name>QNSPECT.0.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_MA29Bjv.svg</icon>
        <author_name><![CDATA[NOAA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QNSPECT/version/0.0.1/download/</download_url>
        <uploaded_by><![CDATA[nspectadmin]]></uploaded_by>
        <create_date>2022-05-20T21:02:34.719107+00:00</create_date>
        <update_date>2022-05-20T21:02:35.466983+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NOAA-OCM/QNSPECT/issues]]></tracker>
        <repository><![CDATA[https://github.com/NOAA-OCM/QNSPECT]]></repository>
        <tags><![CDATA[ecology,python,analysis,flow,flood,processing,pollution,environment,erosion,rusle,comparison,non-point,source,screening,nonpoint,scenario,qnspect]]></tags>
        <downloads>3186</downloads>
        <average_vote>4.272338878283793</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Operate Multiple Layers" version="0.3.2" plugin_id="2701">
        <description><![CDATA[Watches the operation of some tools and applies them to other selected layers]]></description>
        <about><![CDATA[When editing with tools such as move and rotate, make other selected editable layers will operate simultaneously. In order to work, features on the current layer must be targeted. Currently supported tools are &quot;Move Feature&quot;, &quot;Rotate Feature&quot;, &quot;Scale Feature&quot; and &quot;Delete Selected&quot;. &quot;Select Features by Area (rectangular selection only)&quot; and &quot;Undo / Redo&quot; will also supports multiple layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tarot231/qgis-operate-multiple-layers-plugin]]></homepage>
        <file_name>OperateMultipleLayers.0.3.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Tarot Osuji]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OperateMultipleLayers/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[tarot]]></uploaded_by>
        <create_date>2022-05-21T13:01:55.054481+00:00</create_date>
        <update_date>2023-06-17T14:23:27.208785+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tarot231/qgis-operate-multiple-layers-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/tarot231/qgis-operate-multiple-layers-plugin]]></repository>
        <tags><![CDATA[editing]]></tags>
        <downloads>2850</downloads>
        <average_vote>4.610854952502638</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Korekurver" version="1.2" plugin_id="2702">
        <description><![CDATA[Med Kørekurver kan der vises kørekurver på et kort.]]></description>
        <about><![CDATA[Kørekurverne kan flyttes rundt i kortet, roteres og spejles. For nogle af kørekurverne er der lagt filter ind så man kan vælge kun at få vist for nogle specifikke retninger (opgjort i gon og grader). Data er hentet som DWG filer fra Vejdirektoratets hjemmeside og konverteret til postgis. Der er ikke foretaget afstandskorrektion. Det betyder at der for et kort der bruger UTM32-ETRS89 kan være en afvigelse på op til 3 cm ift de oprindelige CAD-filer. CAD filer er henter fra https://www.vejdirektoratet.dk/side/koerekurver. Her kan du også finde PDF&#x27;er med kørekurver.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nordiq-group/koerekurver-qgisplugin]]></homepage>
        <file_name>korekurver.1.2.zip</file_name>
        <icon>/media/packages/2022/icon_V8dohFr.png</icon>
        <author_name><![CDATA[Nordiq Group]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/korekurver/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[nordiqgroup]]></uploaded_by>
        <create_date>2022-05-24T13:42:06.228037+00:00</create_date>
        <update_date>2022-09-13T11:09:41.436396+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nordiq-group/koerekurver-qgisplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/nordiq-group/koerekurver-qgisplugin]]></repository>
        <tags><![CDATA[python,curves]]></tags>
        <downloads>1147</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tachy2GIS-3DViewer" version="1.2.2" plugin_id="2703">
        <description><![CDATA[This plugin allows to create geometries directly with a connected tachymeter]]></description>
        <about><![CDATA[This plugin allows interactive geometry creation with mouse and tachymeter. Additionally the mouse can be used to add exisisting vertices to the created geometries, allowing to avoid overlaps and holes in the topology. Geometries and metatdata are written to shapefiles.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gbv/Tachy2GIS]]></homepage>
        <file_name>Tachy2GIS.1.2.2.zip</file_name>
        <icon>/media/packages/2022/icon_3vz7RMS.png</icon>
        <author_name><![CDATA[Christian Trapp]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Tachy2GIS/version/1.2.2/download/</download_url>
        <uploaded_by><![CDATA[gbv]]></uploaded_by>
        <create_date>2022-05-25T15:34:21.996367+00:00</create_date>
        <update_date>2022-06-01T10:26:59.562440+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gbv/Tachy2GIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/gbv/Tachy2GIS]]></repository>
        <tags><![CDATA[vector,shapefile,digitizing,geometry,3d]]></tags>
        <downloads>1740</downloads>
        <average_vote>3.6660556573904346</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Slope Channel" version="0.2" plugin_id="2706">
        <description><![CDATA[This plugin add to the processing toolbox a model to compute the Slope Channel of a river]]></description>
        <about><![CDATA[This plugin add to the model toolbox a geoprocess to compute the Hydraulic Average Slope]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fgianoli/hsa]]></homepage>
        <file_name>slope_channel-main.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Salvatore Fiandaca, Antonio Cotroneo, Federico Gianoli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/slope_channel-main/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[fritz4]]></uploaded_by>
        <create_date>2022-05-30T13:02:52.399741+00:00</create_date>
        <update_date>2022-05-30T13:02:52.898234+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fgianoli/slope_channel/issues]]></tracker>
        <repository><![CDATA[https://github.com/fgianoli/slope_channel]]></repository>
        <tags><![CDATA[hydraulics,slope channel,pendenza media idraulica]]></tags>
        <downloads>1456</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FooODK" version="2.13" plugin_id="2709">
        <description><![CDATA[The plugin utilize the OpenDataKit (ODK) Central API (based on OpenData Standards) to enhance rapid data manipulations and quality check on both spatial and non-spatial data in Quantum Geographic Information System (QGIS). It performs data plotting, export, geotagging image/picture and analysis (pivot, graphs and wordcloud).]]></description>
        <about><![CDATA[Pulls data from ODK Central to QGIS, using ODK Central API(based on OData).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cutlan]]></homepage>
        <file_name>fooodk.2.13.zip</file_name>
        <icon>/media/packages/2026/icon_NuP6hmV.png</icon>
        <author_name><![CDATA[C-Langen R.M.M.M Mushi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fooodk/version/2.13/download/</download_url>
        <uploaded_by><![CDATA[cutlan]]></uploaded_by>
        <create_date>2022-05-31T10:06:46.772752+00:00</create_date>
        <update_date>2025-11-05T10:17:10.259979+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cutlan/QGIS-FooODK/issues]]></tracker>
        <repository><![CDATA[https://github.com/cutlan/QGIS-FooODK/]]></repository>
        <tags><![CDATA[python,qgis,api,odk,jodari,maji,miombo,central,jbidhaa,jbe]]></tags>
        <downloads>4982</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Delimitedtext Pathfixer" version="0.2" plugin_id="2712">
        <description><![CDATA[This plugins fixes paths from text/ csv datasources that have not been correctly upgraded]]></description>
        <about><![CDATA[This plugins fixes paths from text/csv datasources that have not been correctly upgraded. See https://github.com/qgis/QGIS/issues/48587 for more details about the bug.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OpenBfS/bfs_delimitedtext_pathfixer]]></homepage>
        <file_name>bfs_delimitedtext_pathfixer.0.2.zip</file_name>
        <icon>/media/packages/2022/icon_aXE0Iyk.png</icon>
        <author_name><![CDATA[Marco Lechner, RN1, Bundesamt für Strahlenschutz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bfs_delimitedtext_pathfixer/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mlechner]]></uploaded_by>
        <create_date>2022-06-02T08:22:42.414245+00:00</create_date>
        <update_date>2022-06-02T08:22:42.701407+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/OpenBfS/bfs_delimitedtext_pathfixer/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenBfS/bfs_delimitedtext_pathfixer]]></repository>
        <tags><![CDATA[python,delimitedtext]]></tags>
        <downloads>950</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ST_LUCAS Download Manager" version="1.1.0" plugin_id="2715">
        <description><![CDATA[QGIS plugin for accessing harmonized space-time aggregated LUCAS data provided by the ST_LUCAS system.]]></description>
        <about><![CDATA[This plugin provides possibility of retrieving the subsets of LUCAS data based on spatio-temporal and thematic filters provided by the ST_LUCAS system (https://geoforall.fsv.cvut.cz/st_lucas/). Points will be downloaded based on selected spatial, temporal and thematic filters. Downloaded data is stored as GPKG file in defined directory and automaticaly displayed in QGIS with predefined style. Plugin allows browsing photos and performing class aggregation or nomenclature translation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geoforall.fsv.cvut.cz/st_lucas/]]></homepage>
        <file_name>st_lucas_download_manager.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_EOORab6.png</icon>
        <author_name><![CDATA[CTU GeoForAll Lab (Jaroslav Zeman, Tomas Boucek, Martin Landa)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/st_lucas_download_manager/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[martinl]]></uploaded_by>
        <create_date>2022-06-05T15:02:21.162739+00:00</create_date>
        <update_date>2023-03-17T09:34:18.901411+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/geoharmonizer_inea/st_lucas/st_lucas-qgis-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geoharmonizer_inea/st_lucas/st_lucas-qgis-plugin]]></repository>
        <tags><![CDATA[python,land cover,land use,lucas,st_lucas]]></tags>
        <downloads>4852</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Convert Labels" version="0.3" plugin_id="2719">
        <description><![CDATA[Converts labels into a layer for annotation]]></description>
        <about><![CDATA[This plugin converts labels of the vector layer into a layer for annotation. The destination can be a GeoPackage point layer or an annotation layer supported from QGIS 3.22. For multiparts, create points for each part depending on the layer style settings. It runs from the context menu of the vector layer in the Layers panel.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.3</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tarot231/qgis-convert-labels-plugin]]></homepage>
        <file_name>ConvertLabels.0.3.zip</file_name>
        <icon>/media/packages/2022/icon_umG5vaM.svg</icon>
        <author_name><![CDATA[Tarot Osuji]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ConvertLabels/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[tarot]]></uploaded_by>
        <create_date>2022-06-19T02:11:01.577380+00:00</create_date>
        <update_date>2022-08-14T11:40:41.942386+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tarot231/qgis-convert-labels-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/tarot231/qgis-convert-labels-plugin]]></repository>
        <tags><![CDATA[annotation]]></tags>
        <downloads>4161</downloads>
        <average_vote>4.999444506165982</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Saveecobot Loader" version="0.22" plugin_id="2722">
        <description><![CDATA[This plugins loads AQI data from Safeecobot]]></description>
        <about><![CDATA[Saveecobot Loader loads data from https://www.saveecobot.com/en/radiation-maps e.g. https://www.saveecobot.com/storage/maps_data]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://www.bfs.de]]></homepage>
        <file_name>saveecobot_loader.0.22.zip</file_name>
        <icon>/media/packages/2025/icon_kttIh8W.png</icon>
        <author_name><![CDATA[Bundesamt für Strahlenschutz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/saveecobot_loader/version/0.22/download/</download_url>
        <uploaded_by><![CDATA[mlechner]]></uploaded_by>
        <create_date>2022-06-22T19:43:11.821262+00:00</create_date>
        <update_date>2025-03-16T13:21:38.228069+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenBfS/bfs_saveecobot_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenBfS/bfs_saveecobot_loader]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2353</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IRMIS Json Loader" version="0.8" plugin_id="2723">
        <description><![CDATA[This plugin imports IRMIS Json files into QGIS]]></description>
        <about><![CDATA[This plugin imports JSON files from IAEA IRMIS into QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/OpenBfS/irmis_json_loader]]></homepage>
        <file_name>irmis_json_loader.0.8.zip</file_name>
        <icon>/media/packages/2025/icon_k7byjLy.png</icon>
        <author_name><![CDATA[Marco Lechner, Bundesamt für Strahlenschutz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/irmis_json_loader/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[mlechner]]></uploaded_by>
        <create_date>2022-06-22T19:55:58.264118+00:00</create_date>
        <update_date>2022-06-22T19:55:58.602149+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/OpenBfS/irmis_json_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/OpenBfS/irmis_json_loader]]></repository>
        <tags><![CDATA[python iaea radiation irmis]]></tags>
        <downloads>1814</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Sprague for school age populations" version="1.0" plugin_id="2724">
        <description><![CDATA[This plugin generates school-age populations for any educational levels and any polygon layer]]></description>
        <about><![CDATA[This algorithm aims at creating single years of age for any level of administrative boundaries or any other polygon layer, based on clustered 5-year age group raster files, by applying Sprague multipliers. It also allows the user to reconstruct the different school age groups for a particular education system.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.99</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/iiepdev/SSAP-QGIS-plugin]]></homepage>
        <file_name>SSAP-QGIS-plugin.1.0.zip</file_name>
        <icon>/media/packages/2022/iiep_logo.svg</icon>
        <author_name><![CDATA[IIEP-UNESCO]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SSAP-QGIS-plugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[iiepdev]]></uploaded_by>
        <create_date>2022-06-29T10:11:57.024996+00:00</create_date>
        <update_date>2022-06-29T10:11:57.413881+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/iiepdev/SSAP-QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/iiepdev/SSAP-QGIS-plugin]]></repository>
        <tags><![CDATA[calculator,vector,raster,polygon,processing,algorithm,sprague]]></tags>
        <downloads>864</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeodiversityCalculator" version="2.0" plugin_id="2731">
        <description><![CDATA[This plugin calculates geodiversity over a custom polygon.]]></description>
        <about><![CDATA[This plugin calculates geodiversity over a custom polygon. These are the thematic subindices: geology, soil, relief, hydrography (line and polygon features), mineralogy and palaeontology.  Mostly QGIS proccessing tools and Saga tools are implemented in the code.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://terkep.elte.hu]]></homepage>
        <file_name>geodiversity_calculator.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_gDixIGk.png</icon>
        <author_name><![CDATA[Marton Pal, Emmanuel Owusu-Acheampong]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geodiversity_calculator/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[2683]]></uploaded_by>
        <create_date>2022-07-07T06:07:15.698297+00:00</create_date>
        <update_date>2026-01-23T11:18:59.649656+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marchello-map/geodiversity_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/marchello-map/geodiversity_plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1068</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QTribu" version="1.0.0-beta3" plugin_id="2733">
        <description><![CDATA[Geotribu (https://geotribu.fr) content right into QGIS.]]></description>
        <about><![CDATA[Keep in touch with your GIS Tribe!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geotribu.github.io/qtribu/]]></homepage>
        <file_name>qtribu.1.0.0-beta3.zip</file_name>
        <icon>/media/packages/2026/logo_geotribu_HLk7G0f.png</icon>
        <author_name><![CDATA[Julien Moura (Geotribu), Guilhem Allaman (Geotribu)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qtribu/version/1.0.0-beta3/download/</download_url>
        <uploaded_by><![CDATA[geotribu]]></uploaded_by>
        <create_date>2022-07-12T22:02:29.609592+00:00</create_date>
        <update_date>2024-09-27T16:15:07.366306+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geotribu/qtribu/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geotribu/qtribu/]]></repository>
        <tags><![CDATA[community,rss,blog,geotribu,splash,gischat,chat]]></tags>
        <downloads>10925</downloads>
        <average_vote>4.713949003642597</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SEDucate" version="0.1" plugin_id="2737">
        <description><![CDATA[A set of tools for creating sedimentary logs based on modern depositional environments.]]></description>
        <about><![CDATA[A set of sedimentology course curriculum exercises.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/BjornNyberg/SEDucate/wiki]]></homepage>
        <file_name>seducate.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Bjorn Nyberg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/seducate/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[bjebn]]></uploaded_by>
        <create_date>2022-07-17T11:14:09.813607+00:00</create_date>
        <update_date>2022-07-17T11:14:10.392612+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/BjornNyberg/SEDucate/issues]]></tracker>
        <repository><![CDATA[https://github.com/BjornNyberg/SEDucate]]></repository>
        <tags><![CDATA[logs,sedimentology,depositional environments]]></tags>
        <downloads>843</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Diachronix" version="0.1" plugin_id="2740">
        <description><![CDATA[A plugin to segment a river bed into regular blocks for the automatic extraction of active channel width along a segmented reach]]></description>
        <about><![CDATA[This plugin divides any longitudinal fluvial polygon into regular units to analyse its planimetric evolution over time or its longitudinal pattern. This allows to consistently track over time the evolution of active channels. In order to use this plugin, the SAGA GIS tools should be activated.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.huma-num.fr/ppassy/diachronix]]></homepage>
        <file_name>diachronix.0.1.zip</file_name>
        <icon>/media/packages/2022/active_channel_evolution_icon_fr60Lz5.png</icon>
        <author_name><![CDATA[Paul Passy (Université Paris Cité), Frédéric Liébault (INRAE), Guillaume Piton (INRAE), Margot Chapuis (Université Côte d&#x27;Azur), Gabriel Melun (OFB), Sylvain Théry (CNRS), Judith Nabec, Estelle Stefanini, Damien D-Arras and Fernando Rico-Quintero]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/diachronix/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[paulpassy]]></uploaded_by>
        <create_date>2022-07-22T09:09:16.653016+00:00</create_date>
        <update_date>2022-07-22T09:09:17.194898+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.huma-num.fr/ppassy/diachronix/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.huma-num.fr/ppassy/diachronix]]></repository>
        <tags><![CDATA[hydrology,river,active channel,fluvial geomorphology,flood plain,active channel width extraction]]></tags>
        <downloads>3175</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Prisma" version="5.2" plugin_id="2744">
        <description><![CDATA[Plugin para fazer caracterização de imóveis]]></description>
        <about><![CDATA[Plugin to perform characterization and overlap analysis of properties with areas of the Federal Government]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/spuhub/prisma]]></homepage>
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        <icon>/media/packages/2024/icon_FBkG6Kk.png</icon>
        <author_name><![CDATA[SPU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/prisma/version/5.2/download/</download_url>
        <uploaded_by><![CDATA[spume]]></uploaded_by>
        <create_date>2022-07-28T17:14:56.774812+00:00</create_date>
        <update_date>2024-09-16T02:57:26.372161+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/spuhub/prisma.git]]></tracker>
        <repository><![CDATA[https://github.com/spuhub/prisma.git]]></repository>
        <tags><![CDATA[python]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BADASS" version="2.4.1" plugin_id="2745">
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        <about><![CDATA[Badass (Base archéologique de données attributaires et spatiales) est une base de données spatiales développées par le collectif Ramen (Recherches archéologiques en modélisation de l&#x27;enregistrement numérique consituté de Caroline Font, Thomas Guillemard, Florent Mercey et Christelle Seng avec la collaboration de Camille Mangier, Rachid El-Hajaoui, Mathias Cunault, Clément Féliu et Bertrand Houdusse) de l&#x27;Institut national de recherches archéologiques préventives (Inrap). Cette base de données s&#x27;appuie, d&#x27;une part, sur la structuration institutionnelle des &quot;Six Couches&quot; de données spatiales issues des levers topographiques (développée à l&#x27;Inrap par le réseau des référents SIG piloté par Anne Moreau), d&#x27;autre part, sur un enregistrement archéologique classique articulé autour de la stratigraphie (Galinié, Randoin 1987 ; Desachy 2008). Cette extension permet de générer deux fichiers : le fichier de base de données spatiales au format SpatiaLite (.sqlite) incluant les tables, les vues et les triggers de fonctionnement de la base de données ; le projet QGIS (.qgz) qui intègre les tables, les relations et des styles qui permettent l&#x27;utilisation d&#x27;interfaces de saisie des données attributaires sous forme de formulaires. Au sein de la base de données, plusieurs tables permettent l&#x27;enregistrement des informations liées à la photogrammétrie (Camille Mangier, Rachid El-Hajaoui, Inrap). Deux extensions sont en cours de développement, mais ne sont pas actives pour le moment : Badass of the Dead : permet l’ajout de tables, de thésaurus et d’un mannequin pour la saisie et l’étude des données anthropologiques ; House of Badass : permet l’ajout de tables et de thésaurus pour la saisie et l’étude en archéologie sur le bâti. La programmation de cette extension a été assurée par Alexandre Humeau, Emma Chapuis et Alex Baiet. La version LTR 3.34 de QGIS est recquise pour le fonctionnement correcte de l&#x27;ensemble des fonctionnalités.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://gitlab.com/projet-r-d-bddsarcheo/badass-qgis-plugin]]></homepage>
        <file_name>badass.2.4.1.zip</file_name>
        <icon>/media/packages/2022/logo_full.png</icon>
        <author_name><![CDATA[Alex BAIET, Alexandre HUMEAU, Emma CHAPUIS, collectif Ramen]]></author_name>
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        <uploaded_by><![CDATA[abaiet]]></uploaded_by>
        <create_date>2022-07-29T10:37:00.162615+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/projet-r-d-bddsarcheo/badass-qgis-plugin/-/work_items]]></tracker>
        <repository><![CDATA[https://gitlab.com/projet-r-d-bddsarcheo/badass-qgis-plugin]]></repository>
        <tags><![CDATA[python,inrap,archéologie,base de données,relationnelles,spatiales,opération archéologique]]></tags>
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        <server>False</server>
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        <description><![CDATA[Generates Tanaka-contours from a DEM]]></description>
        <about><![CDATA[This Plugin generates Tanaka-contours (illuminated contours) from an elevation model input and offers furthers options to change the appearance.
Furthermore the user can extract contours under a specific value (length) to get a clear result.
If required the Plugin can smooth the contours lines as well.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/rikka0rt/TanakaContours]]></homepage>
        <file_name>tanaka_contours.0.8.zip</file_name>
        <icon>/media/packages/2022/icon_NbPZN4D.png</icon>
        <author_name><![CDATA[Richard Moritz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tanaka_contours/version/0.8/download/</download_url>
        <uploaded_by><![CDATA[rikka0rt]]></uploaded_by>
        <create_date>2022-08-05T16:55:10.424182+00:00</create_date>
        <update_date>2022-08-05T16:55:10.937521+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rikka0rt/TanakaContours/issues]]></tracker>
        <repository><![CDATA[https://github.com/rikka0rt/TanakaContours]]></repository>
        <tags><![CDATA[height,contour,shade]]></tags>
        <downloads>2204</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Redistricting" version="0.0.4-alpha" plugin_id="2756">
        <description><![CDATA[Tool for drawing districting plans from geographic units]]></description>
        <about><![CDATA[Create redistricting plans from geographic units. Calculation of cut edges score requires installation of GeoPandas and GerryChain python package. See https://github.com/mggg/gerrychain.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/couteau/qgis_redistricting]]></homepage>
        <file_name>redistricting.0.0.4-alpha.zip</file_name>
        <icon>/media/packages/2023/icon_R3rd0k3.png</icon>
        <author_name><![CDATA[Cryptodira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/redistricting/version/0.0.4-alpha/download/</download_url>
        <uploaded_by><![CDATA[couteau]]></uploaded_by>
        <create_date>2022-08-16T13:40:14.724979+00:00</create_date>
        <update_date>2023-08-10T23:28:44.771925+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/couteau/qgis_redistricting/issues]]></tracker>
        <repository><![CDATA[https://github.com/couteau/qgis_redistricting/tree/main/redistricting]]></repository>
        <tags><![CDATA[districting,redistricting,democracy,gerrymandering]]></tags>
        <downloads>2650</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SRApp" version="1.2" plugin_id="2757">
        <description><![CDATA[Synchronizacja z bazą danych aplikacji Metryka]]></description>
        <about><![CDATA[Twórz nowe projekty dla użytkowników aplikacji mobilnej Metryka, ładuj dane oraz śledz zmiany w projektach. Wtyczka wymaga do działania biblioteki firebase_admin, która jest pobierana przy włączeniu wtyczki.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wsz82/srapp_plugin]]></homepage>
        <file_name>srapp.1.2.zip</file_name>
        <icon>/media/packages/2022/icon_puCtbej.png</icon>
        <author_name><![CDATA[Wojciech Szpikowski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/srapp/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[szpikow]]></uploaded_by>
        <create_date>2022-08-17T14:37:31.931293+00:00</create_date>
        <update_date>2022-09-19T18:35:54.272575+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wsz82/srapp_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/wsz82/srapp_plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>604</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ProjectUTM" version="0.2" plugin_id="2765">
        <description><![CDATA[Set CRS of the Project to the UTM Zone of the area.]]></description>
        <about><![CDATA[Set CRS of the Project to the UTM Zone corresponding to the center
of the extend of the active layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/florianneukirchen/qgis-project-as-utm]]></homepage>
        <file_name>qgis-project-as-utm.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Florian Neukirchen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-project-as-utm/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[riannek]]></uploaded_by>
        <create_date>2022-09-06T13:52:39.726435+00:00</create_date>
        <update_date>2022-09-12T08:58:29.194531+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/florianneukirchen/qgis-project-as-utm/issues]]></tracker>
        <repository><![CDATA[https://github.com/florianneukirchen/qgis-project-as-utm]]></repository>
        <tags><![CDATA[vector,crs,utm]]></tags>
        <downloads>15184</downloads>
        <average_vote>4.23044381201446</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ETL Connector for ODK" version="0.5" plugin_id="2768">
        <description><![CDATA[Plugin to connect to the ODK (Open Data Kit) for data retrieval.]]></description>
        <about><![CDATA[This plugIn connects you to your ODK instance using API link and form id and then loads the data to QGIS in shapefile, geopackage or csv.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://demevengderrick.gitbook.io/etl-connector-for-odk/]]></homepage>
        <file_name>odkconnector2.0.5.zip</file_name>
        <icon>/media/packages/2023/icon_pOG5HCq.png</icon>
        <author_name><![CDATA[Derrick Demeveng]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/odkconnector2/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[cydd]]></uploaded_by>
        <create_date>2022-09-08T11:45:27.767076+00:00</create_date>
        <update_date>2022-09-08T11:45:28.745665+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DemevengDerrick/ETL-Connector-for-ODK/issues]]></tracker>
        <repository><![CDATA[https://github.com/DemevengDerrick/odkconnector]]></repository>
        <tags><![CDATA[python,connector,open data kit,odk]]></tags>
        <downloads>4865</downloads>
        <average_vote>4.777711420674713</average_vote>
        <rating_votes>72</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Nearest with greater value" version="0.3" plugin_id="2769">
        <description><![CDATA[Get name (or ID) of and distance to the nearest feature with greater value in a certain field of a point layer.
Returns point layer with added attributes and a line layer with connecting lines.]]></description>
        <about><![CDATA[For each feature on a vector layer, get name (or ID) of and distance to the nearest neighbour with greater value in a certain field. On line or polygon layers, distance is calculated between the center points of the bounding boxes. Since version 2.0, distance is calculated on the WGS84 ellipsoid (not on the layer plane) by default.
The main output is a layer with added attributes neargtdist (distance), neargtdelta (difference in value), neargtname (name or ID), neargtcount. Note that the features are sorted from lowest to greatest value of the field that was used to compare values.
The field neargtcount gives the value of incoming connecting lines linking to points with smaller value.
Also returns a lines layer with connecting lines, as well as basic statistics of the distances and deltas (min, max, mean, quantiles).
Use cases: Which is the next larger city? How far is the next higher building? Which is the closest peak with higher elevation?
Useful for spatial analysis or to categorize features in order to apply different styles (e.g. major and minor summits).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.riannek.de/code/qgis-nearest-with-greater/]]></homepage>
        <file_name>qgis_nearest_greater.0.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Florian Neukirchen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_nearest_greater/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[riannek]]></uploaded_by>
        <create_date>2022-09-09T14:36:04.382252+00:00</create_date>
        <update_date>2022-09-12T12:33:29.424040+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/florianneukirchen/qgis_nearest_greater/issues]]></tracker>
        <repository><![CDATA[https://github.com/florianneukirchen/qgis_nearest_greater]]></repository>
        <tags><![CDATA[vector,closest,python,point,distance,nearest]]></tags>
        <downloads>4969</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Data Range Filter Legend Widget" version="0.1" plugin_id="2777">
        <description><![CDATA[Filter layer elements from the legend, using sliders that cover the range of each numeric field.]]></description>
        <about><![CDATA[Add this legend widget use sliders to quickly visually filter your layer by its numeric fileds.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/orcaomar/qgis_range_filters]]></homepage>
        <file_name>legend_data_filter.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_IiBCs8d.png</icon>
        <author_name><![CDATA[Omar Khan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/legend_data_filter/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[orcaomar]]></uploaded_by>
        <create_date>2022-09-14T18:53:46.953718+00:00</create_date>
        <update_date>2022-09-14T18:53:47.622175+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/orcaomar/qgis_range_filters/issues/]]></tracker>
        <repository><![CDATA[https://github.com/orcaomar/qgis_range_filters]]></repository>
        <tags><![CDATA[python,legend,filter,visualization]]></tags>
        <downloads>1348</downloads>
        <average_vote>4.1244844394450695</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KoALA_Nx" version="0.1.4" plugin_id="2778">
        <description><![CDATA[KoALA-Nx supports optimal network analysis in various network environments. Users can apply the tool in all network environments, such as roads, railroads, and pedestrians. KoALA-Nx provides two functions: distance-based network analysis and time-based network analysis]]></description>
        <about><![CDATA[KoALA-Nx supports optimal network analysis in various network environments. Users can apply the tool in all network environments, such as roads, railroads, and pedestrians. KoALA-Nx provides two functions: distance-based network analysis and time-based network analysis]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ansup0402/KoALA_Nx]]></homepage>
        <file_name>KoALA_Nx.0.1.4.zip</file_name>
        <icon>/media/packages/2022/koala.png</icon>
        <author_name><![CDATA[Hyunjoong Kim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/KoALA_Nx/version/0.1.4/download/</download_url>
        <uploaded_by><![CDATA[ansup0402]]></uploaded_by>
        <create_date>2022-09-15T12:35:17.435022+00:00</create_date>
        <update_date>2022-11-01T10:18:57.997390+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ansup0402/KoALA_Nx/issues]]></tracker>
        <repository><![CDATA[https://github.com/ansup0402/KoALA_Nx]]></repository>
        <tags><![CDATA[python,network,accessibility,korea]]></tags>
        <downloads>2442</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geotuileur" version="1.0.0-beta3" plugin_id="2782">
        <description><![CDATA[Ce plugin a été avantageusement remplacé par le plugin Géoplateforme : https://plugins.qgis.org/plugins/geoplateforme/

Plugin associated with the IGN France service of the same name: Geotuileur.]]></description>
        <about><![CDATA[It allows an authenticated user to upload and host his data on the Geoplatform in order to distribute them via vector tile services for which he chooses a number of parameters.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/ign-geotuileur/]]></homepage>
        <file_name>geotuileur.1.0.0-beta3.zip</file_name>
        <icon>/media/packages/2025/logo-geotuileur.svg</icon>
        <author_name><![CDATA[Oslandia, IGN France]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geotuileur/version/1.0.0-beta3/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2022-09-20T15:35:53.387363+00:00</create_date>
        <update_date>2022-09-26T13:02:12.422265+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/ign-geotuileur/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/ign-geotuileur/]]></repository>
        <tags><![CDATA[vector tile,géotuileur,ign france,géoplateforme,tippecanoe]]></tags>
        <downloads>3110</downloads>
        <average_vote>3.888456838129097</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CityTimer" version="0.1" plugin_id="2787">
        <description><![CDATA[Evaluate the distance from the 15min city of a context]]></description>
        <about><![CDATA[This plugin computes the time and distance (network and linear) from a set of source geometries to multiple layer points. It returns statistics and the convex hull for the input layer geometries, for the target layer, for each of its geometries. It allows to define the “working time” of input geometries, with a natural application for the assessment of the 15min city. The plugin QNEAT3 is required for the installation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/folini96/CityTimer]]></homepage>
        <file_name>CityTimer.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Carlo Andrea Biraghi, Andrea Folini]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CityTimer/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[andreafolini]]></uploaded_by>
        <create_date>2022-09-23T13:02:26.478017+00:00</create_date>
        <update_date>2022-09-23T13:02:28.652807+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/folini96/CityTimer/issues]]></tracker>
        <repository><![CDATA[https://github.com/folini96/CityTimer]]></repository>
        <tags><![CDATA[vector,convex hull,15min city,network distance,layer to layer]]></tags>
        <downloads>1109</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Site Schedule Optimization" version="0.1" plugin_id="2789">
        <description><![CDATA[Finds an optimal multi-day schedule for traveling to a set of locations.]]></description>
        <about><![CDATA[A tool to find an optimal multi-day schedule for traveling to a set of locations. It is akin to solving a partitioned traveling salesman problem w/ constraints. The tool uses simulated annealing (Metropolis-Hastings algorithm) to converge an time-optimized schedule&quot; with provides: 1. Which sites should be visited on what day. 2. Which order to visit those sites within the day. The problem is constrained by: 1. A maximum amount of time allotted per day. 2. The starting and endpoint position of each day (optionally). Several python depedencies are required but can be installed using the plugin itself into an isolated location.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mvarga6/SiteSamplingOptimizer]]></homepage>
        <file_name>site_schedule_optimization.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_KVUVzgt.png</icon>
        <author_name><![CDATA[Mike Varga]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/site_schedule_optimization/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mvarga6]]></uploaded_by>
        <create_date>2022-09-28T01:52:42.553998+00:00</create_date>
        <update_date>2022-09-28T01:52:43.816556+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mvarga6/SiteScheduleOptimization/issues]]></tracker>
        <repository><![CDATA[https://github.com/mvarga6/SiteScheduleOptimization]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>812</downloads>
        <average_vote>4.599080183963207</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QRichDem" version="0.1" plugin_id="2790">
        <description><![CDATA[Qgis wrappers for RichDem]]></description>
        <about><![CDATA[This plugin provides wrappers for RichDem - fast terrain analysis tools and was initially developed for the course Land Degradation and Development by Wageningen University to provide an alternative for SAGA. IT REQUIRES RICHDEM AND WILL TRY TO INSTALL IT IF NOT FOUND. https://landscapearchaeology.org/2018/installing-python-packages-in-qgis-3-for-windows/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis-tuts-wu.readthedocs.io/en/latest/docs/land_degradation_development/index.html]]></homepage>
        <file_name>qgis_richdem.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Fee]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_richdem/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[freakyfee]]></uploaded_by>
        <create_date>2022-09-30T20:04:54.939229+00:00</create_date>
        <update_date>2022-09-30T20:04:55.283948+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/feefladder/qgis-richdem/issues]]></tracker>
        <repository><![CDATA[https://github.com/feefladder/qgis-richdem]]></repository>
        <tags><![CDATA[python hydrology]]></tags>
        <downloads>2717</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SensorThings API" version="1.1.12" plugin_id="2796">
        <description><![CDATA[The plugin enables QGIS to inspect dynamic sensor data published using SensorThingsAPI protocol (https://www.ogc.org/standards/sensorthings).]]></description>
        <about><![CDATA[This plugin has been developed by Sandro Moretti from Deda Next (https://www.dedanext.it/) within the AIR-BREAK project (https://airbreakferrara.net/) and then further evolved into the current version with the financial support of BRGM (https://www.brgm.fr/en). The plugin leverages on QGIS SensorThings data provider to access SensorThingsAPI endpoints (https://www.ogc.org/standards/sensorthings), visualize on map the position of their spatially-enabled entities (Locations, Multi/Datastreams and FeatureOfInterest) and inspect the related timeseries of Observations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Sandro71/SensorThingsInspector_QGIS-plugin]]></homepage>
        <file_name>SensorThingsAPI.1.1.12.zip</file_name>
        <icon>/media/packages/2025/icon_Kjg1ZPo.png</icon>
        <author_name><![CDATA[Deda Next (Sandro Moretti)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SensorThingsAPI/version/1.1.12/download/</download_url>
        <uploaded_by><![CDATA[pgcipriano]]></uploaded_by>
        <create_date>2022-10-10T09:15:41.064656+00:00</create_date>
        <update_date>2023-05-24T09:33:28.748436+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Sandro71/SensorThingsInspector_QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Sandro71/SensorThingsInspector_QGIS-plugin]]></repository>
        <tags><![CDATA[iot,ogc,sta,sensorthings api]]></tags>
        <downloads>3624</downloads>
        <average_vote>4.499750013888117</average_vote>
        <rating_votes>18</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Deepness: Deep Neural Remote Sensing" version="0.3.0" plugin_id="2802">
        <description><![CDATA[Inference of deep neural network models (ONNX) for segmentation, detection and regression]]></description>
        <about><![CDATA[Deepness plugin allows to easily perform segmentation, detection and regression on raster ortophotos with custom ONNX Neural Network models, bringing the power of deep learning to casual users.
Features highlights:
- processing any raster layer (custom ortophoto from file or layers from online providers, e.g Google Satellite)
- limiting processing range to predefined area (visible part or area defined by vector layer polygons)
- common types of models are supported: segmentation, regression, detection
- integration with layers (both for input data and model output layers). Once an output layer is created, it can be saved as a file manually
- model ZOO under development (planes detection on Bing Aerial, Corn field damage, Oil Storage tanks detection, cars detection, ...)
- training data Export Tool - exporting raster and mask as small tiles
- parametrization of the processing for advanced users (spatial resolution, overlap, postprocessing)
Plugin requires external python packages to be installed. After the first plugin startup, a Dialog will show, to assist in this process. Please visit plugin the documentation for details.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.14</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis-plugin-deepness.readthedocs.io/]]></homepage>
        <file_name>deepness.0.3.0.zip</file_name>
        <icon>/media/packages/2024/icon_Is9CMcz.png</icon>
        <author_name><![CDATA[PUT Vision]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/deepness/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[przemyslawaszkowski]]></uploaded_by>
        <create_date>2022-10-20T11:38:13.982136+00:00</create_date>
        <update_date>2022-10-20T11:38:14.243751+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PUTvision/qgis-plugin-deepness/issues]]></tracker>
        <repository><![CDATA[https://github.com/PUTvision/qgis-plugin-deepness]]></repository>
        <tags><![CDATA[analysis,classification,remote sensing,regression,supervised classification,machine learning,segmentation,deep learning,neural network,onnx,deepness,detection]]></tags>
        <downloads>72154</downloads>
        <average_vote>4.688146837920226</average_vote>
        <rating_votes>186</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapBiomas Collection Official" version="1.5.1" plugin_id="2806">
        <description><![CDATA[This plugin enables the acquisition of land&#x27;s use and coverage maps from MapBiomas Project (http://mapbiomas.org/) as a WMS layer.]]></description>
        <about><![CDATA[This plugin integrates MapBiomas annual land use and coverage maps as a WMS layer.
The plugin is developed in collaboration with Solved[1]
[1] https://solved.eco.br]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mariochermes/mapbiomascollection/wiki]]></homepage>
        <file_name>plugin.1.5.1.zip</file_name>
        <icon>/media/packages/2025/mapbiomas_GVmz3wl.svg</icon>
        <author_name><![CDATA[Luiz Motta, Luiz Cortinhas and Mário Hermes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/plugin/version/1.5.1/download/</download_url>
        <uploaded_by><![CDATA[luizcf14]]></uploaded_by>
        <create_date>2022-10-26T01:46:51.758117+00:00</create_date>
        <update_date>2024-02-26T19:44:47.534211+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mariochermes/mapbiomascollection/issues]]></tracker>
        <repository><![CDATA[https://github.com/mariochermes/mapbiomascollection]]></repository>
        <tags><![CDATA[mapbiomas,solved]]></tags>
        <downloads>43842</downloads>
        <average_vote>4.527652009666398</average_vote>
        <rating_votes>36</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="School placement multi-criteria decision analysis (MCDA)" version="v0.1.5" plugin_id="2811">
        <description><![CDATA[This plugin generates a customized site classification raster layer for educational facilities (schools).]]></description>
        <about><![CDATA[This algorithm aims at creating multiple intermediate suitability analyses for school sites, merging the results into a single, customizable multi-criteria suitability index. It&#x27;s based on the paper by &lt;a href=&quot;http://www.iiep.unesco.org/en/our-expertise/geospatial-data-educational-planning-and-management&quot;&gt;Vargas Mesa, Sheldon, Gagnon (2022)&lt;/a&gt;.

Was this plugin useful? Let us know by sending a message to development@iiep.unesco.org]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/iiepdev]]></homepage>
        <file_name>mcda.v0.1.5.zip</file_name>
        <icon>/media/packages/2022/iiep_logo_YJJsfUj.svg</icon>
        <author_name><![CDATA[IIEP-UNESCO &amp; UNOSAT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mcda/version/v0.1.5/download/</download_url>
        <uploaded_by><![CDATA[lehtojaa]]></uploaded_by>
        <create_date>2022-11-01T17:57:49.076019+00:00</create_date>
        <update_date>2022-11-01T17:57:49.231223+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GispoCoding/mcda-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GispoCoding/mcda-plugin]]></repository>
        <tags><![CDATA[vector,raster,analysis,polygon,processing,mcda,algorithm,decision]]></tags>
        <downloads>1034</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Segment reshape tool" version="0.0.3" plugin_id="2815">
        <description><![CDATA[Tool to reshape toplogically connected segments]]></description>
        <about><![CDATA[With this plugin QGIS user can select the common segment of multiple features using a map tool and then reshape the segment for all features with one edit. Topological editing (found in snapping toolbar) must be turned on before reshape operation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nlsfi/segment-reshape-qgis-plugin]]></homepage>
        <file_name>segment_reshape_plugin.0.0.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[National Land Survey of Finland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/segment_reshape_plugin/version/0.0.3/download/</download_url>
        <uploaded_by><![CDATA[nlsfi]]></uploaded_by>
        <create_date>2022-11-09T08:23:16.834858+00:00</create_date>
        <update_date>2022-11-17T14:21:54.247578+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nlsfi/segment-reshape-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/nlsfi/segment-reshape-qgis-plugin]]></repository>
        <tags><![CDATA[editing,geometry,topology]]></tags>
        <downloads>12988</downloads>
        <average_vote>4.199580041995801</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SDG_15_1_2_calculator" version="0.2" plugin_id="2816">
        <description><![CDATA[Proportion of important sites for terrestrial and freshwater biodiversity that are covered by protected areas, by ecosystem type]]></description>
        <about><![CDATA[Proportion of important sites for terrestrial and freshwater biodiversity that are covered by protected areas, by ecosystem type. Required input: 1) Key Biodiversity Areas map (https://www.keybiodiversityareas.org/); 2) Protected Area Boundary (World Database on Protected Areas - WDPA); 3)Ecosystem map (raster binary map)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MarA-iia/SDG_15_1_2_calculator/]]></homepage>
        <file_name>sdg_15_1_2_calculator.0.2.zip</file_name>
        <icon>/media/packages/2022/SDG_15_icon_pAkbjSp.jpg</icon>
        <author_name><![CDATA[IIA-CNR]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sdg_15_1_2_calculator/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mariia]]></uploaded_by>
        <create_date>2022-11-09T09:38:31.792587+00:00</create_date>
        <update_date>2022-12-14T09:58:07.678383+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MarA-iia/SDG_15_1_2_calculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/MarA-iia/SDG_15_1_2_calculator/]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1037</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Go Data Extraction" version="0.4" plugin_id="2822">
        <description><![CDATA[This Plugin for QGIS enables users to log in to Go.Data and extract case data.]]></description>
        <about><![CDATA[This Plugin for QGIS enables users to log in to Go.Data and extract case data. Go.Data is an application which facilitates outbreak investigation, including field data collection, contact tracing, and visualization of chains of transmission. This plugin will extract data from the Go.Data API and will transform the JSON output to multiple csv files. The Plugin was created for somebody in the GIS role during emergency responses.  Specifically, they can access outbreak data, extract case and contact data, and automate the process to create maps for outbreak investigation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/WorldHealthOrganization/godata-extract-qgis-plugin]]></homepage>
        <file_name>godata_for_upload.0.4.zip</file_name>
        <icon>/media/packages/2023/icon_RTsQJLZ.png</icon>
        <author_name><![CDATA[Adam McKay; Amy Louise Lang]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/godata_for_upload/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[adm]]></uploaded_by>
        <create_date>2022-11-20T16:16:24.252571+00:00</create_date>
        <update_date>2023-03-09T17:54:06.766668+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WorldHealthOrganization/godata-extract-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/WorldHealthOrganization/godata-extract-qgis-plugin]]></repository>
        <tags><![CDATA[python,godata]]></tags>
        <downloads>1494</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DMI Open Data" version="1.0.2" plugin_id="2827">
        <description><![CDATA[This plugin lets you import data from DMIs Open Data]]></description>
        <about><![CDATA[This plugin lets you import data from DMIs Open Data in an easy manner.

With this plugin you can import meteorological observations, climate data, lightning data, radar data and oceanographic observations. Furthermore it is possible to download the data as .csv files, pull multiple parameters and stations at a time and get an overview of all DMIs stations, what they measure and where they are located.

For a full guide on how to use the plugin go &lt;a href=&quot;https://github.com/dmidk/Open-Data-QGIS-plugin/blob/master/Guide.md&quot;&gt;here&lt;/a&gt;.

To read more about DMIs Open Data go &lt;a href=&quot;https://www.dmi.dk/friedata/dokumentation-paa-engelsk&quot;&gt;here.&lt;/a&gt;
&lt;a href=&quot;https://www.dmi.dk/&quot;&gt;Visit DMI.&lt;/a&gt;
&lt;a href=&quot;https://www.dmi.dk/kontakt/&quot;&gt;Contact us.&lt;/a&gt;

This plugin requires the pandas libary. In most cases the pandas libary will be installed alongside the plugin. However, if this is not the case please install pandas to use the plugin. A guide to pandas installation can be found &lt;a href=&quot;https://pandas.pydata.org/docs/getting_started/install.html&quot;&gt;here&lt;/a&gt;

&lt;img src=&quot;https://www.dmi.dk/fileadmin/templates/img/logo.png&quot; alt=&quot;DMI&quot; width=&quot;200&quot; height=auto&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dmidk/Open-Data-QGIS-plugin]]></homepage>
        <file_name>DMI_Open_Data.1.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_DVCKtk0.png</icon>
        <author_name><![CDATA[Danish Meteorological Institute]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DMI_Open_Data/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[dmiopendata]]></uploaded_by>
        <create_date>2022-11-28T13:09:38.605783+00:00</create_date>
        <update_date>2022-11-29T09:22:12.839483+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dmidk/Open-Data-QGIS-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/dmidk/Open-Data-QGIS-plugin]]></repository>
        <tags><![CDATA[open data,climate,climate change,dmi,climate data,dmi open data,danmarks meteorologiske institut]]></tags>
        <downloads>8901</downloads>
        <average_vote>3.713755177831738</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QDAI" version="0.1" plugin_id="2830">
        <description><![CDATA[It computes soil moisture at high resolution using the SMAP/SMOS 36km coarse resolution global soil moisture data]]></description>
        <about><![CDATA[It computes soil moisture at high resolution using the SMAP/SMOS 36km coarse resolution global soil moisture data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/nehakn/SMC/blob/main/README.txt]]></homepage>
        <file_name>soil_moisture.0.1.zip</file_name>
        <icon>/media/packages/2022/icon_Ilj7KWW.png</icon>
        <author_name><![CDATA[Neha K. Nawandar]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/soil_moisture/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[nnawandar]]></uploaded_by>
        <create_date>2022-12-02T08:14:05.225559+00:00</create_date>
        <update_date>2022-12-02T08:14:06.074524+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/nehakn/SMC/issues]]></tracker>
        <repository><![CDATA[https://github.com/nehakn/SMC]]></repository>
        <tags><![CDATA[python,landsat,soil moisture,smap,smos]]></tags>
        <downloads>2712</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Reveal Address" version="1.2" plugin_id="2835">
        <description><![CDATA[QGIS plugin generated by ChatGPT, to reveal address using reverse geocoding on Nominatim API]]></description>
        <about><![CDATA[Plugin allows user to get to know address for a picked by user point. Plugin works by simply clicking on a point on a map and revealing point location through Nominatim API.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/envirosolutionspl/reveal_address_plugin]]></homepage>
        <file_name>reveal_address_plugin.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_BFssKJn.svg</icon>
        <author_name><![CDATA[ChatGPT &amp; EnviroSolutions Sp. z o.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/reveal_address_plugin/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[envirosolutions]]></uploaded_by>
        <create_date>2022-12-12T19:08:03.066668+00:00</create_date>
        <update_date>2023-04-11T13:48:49.138294+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/envirosolutionspl/reveal_address_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/envirosolutionspl/reveal_address_plugin]]></repository>
        <tags><![CDATA[address,nominatim,qgis,api,reverse geocoding,envirosolutions,ai,chatgpt,openai]]></tags>
        <downloads>4980</downloads>
        <average_vote>3.249864588975459</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoDynGem GWSW" version="1.0" plugin_id="2844">
        <description><![CDATA[sewerage prognosis tool for municipalities with support for GWSW-standard]]></description>
        <about><![CDATA[Sewerage prognosis tool for municipalities with support for GWSW-standard.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bart147/GeoDynGemGWSW]]></homepage>
        <file_name>GeoDynGemGWSW.1.0.zip</file_name>
        <icon>/media/packages/2022/logo_5LEkwOF.png</icon>
        <author_name><![CDATA[bkgis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoDynGemGWSW/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[bart147]]></uploaded_by>
        <create_date>2022-12-21T13:15:21.436387+00:00</create_date>
        <update_date>2023-12-20T12:21:36.978935+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://app.zenhub.com/workspaces/geodyngemgwsw-board-637b686a0483d62b95ce3b56/board]]></tracker>
        <repository><![CDATA[https://github.com/bart147/GeoDynGemGWSW]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2530</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kartverket adresse-API" version="0.1" plugin_id="2854">
        <description><![CDATA[Fetch coordinates for Norwegian addresses using the Kartverket open adress-API]]></description>
        <about><![CDATA[This plugin is fetching coordinates from the Norwegian Mapping authority&#x27;s adress-api at https://ws.geonorge.no/adresser/v1/#/default/get_sok. The text entered will be used for a free-text search over nearly all information on an address. Letter case does not matter.

Use * or ? as wildcharts. E.g. Parkve?en vill search for all addresses in Parkveien or Parkvegen. Park* will search for all addresses starting with Park.

The API will not return more than 10000 items. If this limits is reached, a warning will be shown. In case bigger datasets are needed, they can be downloaded from https://geonorge.no

The data that are returned will be stored in a new dataset for each query. These data sets are QGIS temporary memory layers and will be deleted when exiting QGIS. To store a data set, press the IC icon to the right of the name and select where to store it and in which format.

The plugin will be found under the Web menu in QGIS.

This plugin is neither made by nor endorsed by the Norwegian Mapping Authority.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/kartverket_adresse]]></homepage>
        <file_name>kartverket_adresse.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_R75M1Sk.png</icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kartverket_adresse/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2023-01-06T12:51:40.150614+00:00</create_date>
        <update_date>2023-01-06T12:51:41.543972+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/kartverket_adresse]]></tracker>
        <repository><![CDATA[https://github.com/sickel/kartverket_adresse]]></repository>
        <tags><![CDATA[web address geocoder norway kartverket api]]></tags>
        <downloads>4124</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NIB-ortofoto-prosjekt" version="0.7" plugin_id="2858">
        <description><![CDATA[Henter alle ortofoto- (inkl. midlertidige), Satellitt- og Infrarødt-prosjekt fra Norge i bilder (WMS) som ligger innafor et utsnitt.]]></description>
        <about><![CDATA[Utsnittet kan være bounding boksen til
- aktuelt map canvas (default)
- et utsnitt man angir selv i lengde og høyde (km x km)
- et kartlag i Layers panel (table of contents (TOC))
- en vektor- eller rasterfil man laster opp

Kan velge prosjekt fra et, flere eller alle (default) år.
Kan lagre prosjektnavna i egne tekstfiler sortert etter år (default) eller alfabetisk.
Utsnittet kan ikke overskride 500 km x 500 km.
Alle WMS-layere (ortofoto, satellitt og infrarødt) havner i en egen gruppe &quot;Nib-prosjekt&quot;.
Tidligere innhenta ortofoto kan slettes før nye hentes inn (husker siste valg).
NB! Man må ha tilgang til Norge i bilder ortofoto-prosjekt WMS (Norge digitalt-part)
NB! Prosjektet må være i UTM 32, 33 eller 35.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.nibio.no/abni/get_nib]]></homepage>
        <file_name>get_nib-main.0.7.zip</file_name>
        <icon>/media/packages/2024/icon_vHqtiV5.png</icon>
        <author_name><![CDATA[ban, NIBIO]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/get_nib-main/version/0.7/download/</download_url>
        <uploaded_by><![CDATA[9ls1]]></uploaded_by>
        <create_date>2023-01-09T13:46:49.515718+00:00</create_date>
        <update_date>2023-01-09T13:46:49.710731+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.nibio.no/abni/get_nib/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.nibio.no/abni/get_nib/-/tree/main]]></repository>
        <tags><![CDATA[python,raster,wms,extent,norway]]></tags>
        <downloads>5529</downloads>
        <average_vote>4.624710955565277</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geo-Zone Check Germany" version="0.1" plugin_id="2859">
        <description><![CDATA[UAS flight restriction checker for Germany]]></description>
        <about><![CDATA[Checks a given vector layer with planned flight paths/flight areas for conflicts with nearby geographical zones in Germany and returns 2 vector layers, one with intersecting zones and one with closeby zones. Distances and links to more information about the restrictions for each zone can be found in the attribute tables. Known problems: Running this plugin can take 1-2 minutes, getting no response during this time isn&#x27;t unusual. Source for geodata: DFS, BKG [2022] via www.dipul.de and their WMS service.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://midasch-geovis.de/]]></homepage>
        <file_name>geo-zone-check-germany.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_PqkzTwK.png</icon>
        <author_name><![CDATA[Jannis Midasch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo-zone-check-germany/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jmidasch]]></uploaded_by>
        <create_date>2023-01-10T12:27:43.762521+00:00</create_date>
        <update_date>2023-01-10T12:27:43.947649+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JMidasch/geo-zone-check-germany]]></tracker>
        <repository><![CDATA[https://github.com/JMidasch/geo-zone-check-germany]]></repository>
        <tags><![CDATA[remote sensing,uas,uav,germany,flight,restriction,geo zones]]></tags>
        <downloads>1029</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lat lon buffer" version="0.1" plugin_id="2863">
        <description><![CDATA[This processing plugin makes a buffer in meters around lat lon point features]]></description>
        <about><![CDATA[This plugin can make buffers defined in meters around point features in a global lat lon dataset. It will define a an Azimuthal Equidistant projection centered on each point, make a buffer on the point and reproject the resulting buffer to lat lon.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/bufferlatlon]]></homepage>
        <file_name>latlonbuffer.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/latlonbuffer/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2023-01-17T13:04:22.836619+00:00</create_date>
        <update_date>2023-01-17T13:04:23.006461+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/bufferlatlon]]></tracker>
        <repository><![CDATA[https://github.com/sickel/bufferlatlon]]></repository>
        <tags><![CDATA[buffer vector latlon]]></tags>
        <downloads>2604</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CartoDruid Synchronizer" version="0.3" plugin_id="2871">
        <description><![CDATA[Plugin to synchronize SQLite databases to Cartodruid Synchronization services at ITACyL]]></description>
        <about><![CDATA[Cartodruid is a GIS editor that allows you to quickly collect data in the field. When you need to share this data with other technicians or to manage it in the desktop, you can use Cartodruid sinchronization services to share a common view of your layers. This plugin allows you to send and receive incremental changes from your cartodruid workspace using sqlite databases as the package sending unit.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/itacyldev/QGIS-crtchk.git]]></homepage>
        <file_name>cartodruid_sync.0.3.zip</file_name>
        <icon>/media/packages/2024/icon_2yK7tgY.png</icon>
        <author_name><![CDATA[ITACyL]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cartodruid_sync/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[itacyldev]]></uploaded_by>
        <create_date>2023-01-25T11:23:31.926005+00:00</create_date>
        <update_date>2023-01-27T12:10:08.691873+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/itacyldev/QGIS-crtchk.git]]></tracker>
        <repository><![CDATA[https://github.com/itacyldev/QGIS-crtchk.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>5684</downloads>
        <average_vote>4.199160167966406</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Volume Comparison" version="0.3" plugin_id="2878">
        <description><![CDATA[Calculates the difference in volume between two raster layers]]></description>
        <about><![CDATA[Calculates the volume difference between two raster layers with elevation data. If the layers are different sizes, the larger will be clipped to the smaller. Units of the raster/DEM must match project units (eg, m, m^2, m^3).  To view the volume difference between raster surfaces, open the statistical summary pane (View-&gt;Statistical Summary), select the generated statistical summary layer (zonalStats&lt;*&gt;) and select the &quot;Volume&quot; field.  The difference in volume is the calculated &quot;Sum&quot; statistic.  A negative number implies erosion/loss, a positive number implies accretion/gain.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/blightanner/DEMDifferenceQgisPlugin]]></homepage>
        <file_name>raster_volume_compare.0.3.zip</file_name>
        <icon>/media/packages/2023/icon_mFpIY82.png</icon>
        <author_name><![CDATA[Lauren Yang at Bligh Tanner Pty Ltd]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raster_volume_compare/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[lyang]]></uploaded_by>
        <create_date>2023-02-01T23:41:55.336562+00:00</create_date>
        <update_date>2023-12-04T05:16:11.729906+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/blightanner/DEMDifferenceQgisPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/blightanner/DEMDifferenceQgisPlugin]]></repository>
        <tags><![CDATA[python,volume,raster/dem,accretion/gain,erosion/loss]]></tags>
        <downloads>3188</downloads>
        <average_vote>3.7056643726839593</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Walidator plików GML" version="1.2.6" plugin_id="2891">
        <description><![CDATA[Walidacja i kontrola plików GML baz: BDOO, BDOT10k, PRNG, RCN, GESUT, EGiB, BDOT500, MGR, KARTO10k]]></description>
        <about><![CDATA[Walidacja ze schematem aplikacyjnym GML - XSD i kontrola plików GML baz: BDOO, BDOT10k, PRNG, GESUT, EGiB, BDOT500, RCN, MGR, KARTO10k.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.gov.pl/web/gugik]]></homepage>
        <file_name>Walidator_plikow_gml.1.2.6.zip</file_name>
        <icon>/media/packages/2026/icon_XitUMWM.png</icon>
        <author_name><![CDATA[Marcin Lebiecki - Główny Urząd Geodezji i Kartografii]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Walidator_plikow_gml/version/1.2.6/download/</download_url>
        <uploaded_by><![CDATA[marcinlebiecki]]></uploaded_by>
        <create_date>2023-03-01T11:50:03.531869+00:00</create_date>
        <update_date>2025-12-18T10:42:12.825520+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GlownyUrzadGeodezjiIKartografii/WalidatorPlikowGML/issues]]></tracker>
        <repository><![CDATA[https://github.com/GlownyUrzadGeodezjiIKartografii/WalidatorPlikowGML]]></repository>
        <tags><![CDATA[python,gml,bdot10k,bdoo,gesut,egib,bdot500,prng,xsd,walidacja,rcn,mgr]]></tags>
        <downloads>42750</downloads>
        <average_vote>3.131096211537516</average_vote>
        <rating_votes>61</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Street Facing Side" version="0.5" plugin_id="2895">
        <description><![CDATA[Identifies the side of the polygon (e.g. parcels or building footprints) that is facing the street, river, or any other line vector file type. Outputs a new line feature for each polygon feature, based on what side of the polygon was identified as the &#x27;street-facing&#x27; side. Requires both an input polygon layer and input line layer.]]></description>
        <about><![CDATA[WARNING: This tool is still in it&#x27;s early development, so it still produces some errors and has performance limits. That is why I currently have it listed as &#x27;experimental&#x27;. I will be continuously working on updates.

Planned updates:
- Create point layer in the centre of &#x27;street-facing&#x27; line layer 
- Fix the overlapping line errors
- Fix issue with features on street corners (often identifies the side of house as &#x27;street-facing&#x27;)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/blairscriven/Street-Facing-Side]]></homepage>
        <file_name>street_facing_side.0.5.zip</file_name>
        <icon>/media/packages/2023/icon_Bc720kw.png</icon>
        <author_name><![CDATA[Blair William Gerald Scriven]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/street_facing_side/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[bwgscriven]]></uploaded_by>
        <create_date>2023-03-07T05:47:00.154230+00:00</create_date>
        <update_date>2023-03-07T05:47:00.494887+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/blairscriven/Street-Facing-Side/issues]]></tracker>
        <repository><![CDATA[https://github.com/blairscriven/Street-Facing-Side]]></repository>
        <tags><![CDATA[vector street river building footprints parcels]]></tags>
        <downloads>770</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Coverage Builder" version="0.5.1" plugin_id="2897">
        <description><![CDATA[Create rectangles to use as an input layer for atlas generation.]]></description>
        <about><![CDATA[&lt;p&gt;This is an updated version of the &quot;Grids for Atlas&quot; plugin, previously published by:&lt;/p&gt;&lt;li&gt;Experts SIG / &lt;a href=&quot;https://www.biotope.fr/&quot;&gt;Biotope&lt;/a&gt;&lt;/li&gt;&lt;li&gt;Bertrand Chaussat&lt;/li&gt;&lt;li&gt;Dmitry Kiselev&lt;/li&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alisterh/coveragebuilder]]></homepage>
        <file_name>coveragebuilder.0.5.1.zip</file_name>
        <icon>/media/packages/2024/icon_sPwbiDL.png</icon>
        <author_name><![CDATA[Alister Hood]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coveragebuilder/version/0.5.1/download/</download_url>
        <uploaded_by><![CDATA[alister]]></uploaded_by>
        <create_date>2023-03-10T11:26:34.470881+00:00</create_date>
        <update_date>2024-04-19T12:35:57.773404+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alisterh/coveragebuilder/issues]]></tracker>
        <repository><![CDATA[https://github.com/alisterh/coveragebuilder]]></repository>
        <tags><![CDATA[Atlas,Extent,Layout,Plot,Print]]></tags>
        <downloads>1554</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CRS Guesser" version="0.1" plugin_id="2899">
        <description><![CDATA[Guesses unknown CRS for layers]]></description>
        <about><![CDATA[The plugin was developed for the special case when there are coordinates whose CRS is unknown.
Note: this is not the preferred way to set the CRS. It is intended to help only in the special cases when no conclusions about the certainly correct CRS are possible.
Short Tutorial:
In the Plugin:
1. Input of one of the unknown coordinate
2. Select wether all CRS of QGIS (only EPSG) should be searched, only those of Austria or from a custom list
3. Specifying the CRS of the output layer
4. Press OK
In the background:
The plugin converts the entered coordinate from all desired CRS into the CRS of the automatically loaded output layer
In QGIS:
5. Load a basemap (e.g. with the QuickMapPlugin)
6. Zoom to the corresponding location the point should be situated
7. Look in the attribute table from which original CRS the correctly situated point was reprojected. This is the correct CRS for the respective coordinates.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/brigitdanthine/crs-guesser]]></homepage>
        <file_name>crs-guesser-main.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Brigit Danthine]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/crs-guesser-main/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[brigitdan]]></uploaded_by>
        <create_date>2023-03-14T12:57:06.018372+00:00</create_date>
        <update_date>2023-03-14T12:57:06.174576+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/brigitdanthine/crs-guesser/issues]]></tracker>
        <repository><![CDATA[https://github.com/Research-Squirrel-Engineers/crs-guesser]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>931</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PyQGIS Resource Browser" version="0.1.1" plugin_id="2913">
        <description><![CDATA[A Qt resource browser right into QGIS.]]></description>
        <about><![CDATA[Helper plugin for developers to browse, preview and get the embedded icons in QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://guts.github.io/qgis-plugin-resource-browser/]]></homepage>
        <file_name>pyqgis_resource_browser.0.1.1.zip</file_name>
        <icon>/media/packages/2023/pyqgis_i1WRrr0.png</icon>
        <author_name><![CDATA[Julien Moura, Benjamin Jakimow]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pyqgis_resource_browser/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[geojulien]]></uploaded_by>
        <create_date>2023-03-27T17:58:03.651614+00:00</create_date>
        <update_date>2023-03-27T18:14:49.462528+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Guts/qgis-plugin-resource-browser/issues]]></tracker>
        <repository><![CDATA[https://github.com/Guts/qgis-plugin-resource-browser]]></repository>
        <tags><![CDATA[development,plugin,pyqgis,resource,icon]]></tags>
        <downloads>11952</downloads>
        <average_vote>4.3842781324513505</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BPEJ a RÚIAN pro SWAT" version="0.4" plugin_id="2914">
        <description><![CDATA[Plugin stahuje a upravuje data BPEJ a upravuje data RÚIAN pro model SWAT]]></description>
        <about><![CDATA[Plugin stahuje a upravuje data BPEJ a upravuje data RÚIAN pro využití v modelu SWAT. Podkladová data RÚIAN je nutné získat pomocí pluginu Import dat RÚIAN. Prosím prostudujte přiloženou dokumentaci před využíváním pluginu.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mredoslav/bpej_ruian_plugin]]></homepage>
        <file_name>bpej_ruian_swat.0.4.zip</file_name>
        <icon>/media/packages/2024/icon_MHB6BoA.png</icon>
        <author_name><![CDATA[Tomáš Hájek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bpej_ruian_swat/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[mredoslav]]></uploaded_by>
        <create_date>2023-03-29T21:54:22.633365+00:00</create_date>
        <update_date>2024-06-30T09:34:31.903019+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mredoslav/bpej_ruian_plugin]]></tracker>
        <repository><![CDATA[https://github.com/mredoslav/bpej_ruian_plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2254</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GpuDataChecker" version="0.1.2" plugin_id="2921">
        <description><![CDATA[Plugin pour l&#x27;aide au contrôle de la validité
géométrique de données pour intégration dans le géoportail
de l&#x27;urbanisme]]></description>
        <about><![CDATA[Plugin pour l&#x27;aide au contrôle de la validité
géométrique de données pour intégration dans le géoportail
de l&#x27;urbanisme]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/IGNF/gpu-data-checker]]></homepage>
        <file_name>gpu-data-checker.0.1.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Paul-Emmanuel Gautreau]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gpu-data-checker/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[pegautreau]]></uploaded_by>
        <create_date>2023-04-05T08:44:37.923822+00:00</create_date>
        <update_date>2025-02-20T09:30:07.932473+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IGNF/gpu-data-checker/issues]]></tracker>
        <repository><![CDATA[https://github.com/IGNF/gpu-data-checker]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>816</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="File Management" version="0.1" plugin_id="2927">
        <description><![CDATA[Plugin to help with file management from the Layers Panel.]]></description>
        <about><![CDATA[The File Management plugin allows users to rename layers on disk within QGIS via the right-click context menu in the Layers Panel, and copy layer paths (both absolute and relative) to the clipboard.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/tuflow/qgis-file-management-plugin]]></homepage>
        <file_name>file_management.0.1.zip</file_name>
        <icon>/media/packages/2023/mActionFileOpen.svg</icon>
        <author_name><![CDATA[Ellis Symons]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/file_management/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[ellissymons]]></uploaded_by>
        <create_date>2023-04-11T16:55:09.063950+00:00</create_date>
        <update_date>2023-04-11T16:55:09.661908+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/tuflow/qgis-file-management-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/tuflow/qgis-file-management-plugin.git]]></repository>
        <tags><![CDATA[rename layers/databases,copy paths]]></tags>
        <downloads>1159</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DMP Data Catalogue" version="1.0.0" plugin_id="2928">
        <description><![CDATA[Discover and add layers from the Danish Environmental Portals (Danmarks Miljøportal) data catalogue]]></description>
        <about><![CDATA[With the Danish Environmental Portal plugin, you can easily load all layers from the Danish Environmental Portal&#x27;s Data Catalog. The Data Catalog contains all map layers displayed from the public databases with nature and environmental data found at the Environmental Portal, such as the Naturdatabasen, DKjord, Arealeditering, PULS, VanDa, etc.

In addition to these layers, the Data Catalog contains several hundred other publicly available layers relevant to working with environmental and nature data. Data is displayed via web services, and most layers are available as WMS, WFS, or WMTS. It is possible to switch between desired types in the plugin.

For all layers, it is possible to view metadata, which includes a description of the map layer, tags, data owner, and other information about the data.

The map layers are grouped into main categories but can also be sorted by data owner or data collections if the map is part of a collection. Additionally, the search field can be used to find desired datasets, after which the map layer is easily added to the view. It is also possible to add layers from collections.

About the Danish Environmental Portal

The Danish Environmental Portal is a public partnership owned by the state, municipalities, and regions, aimed at supporting digital environmental management in Denmark. The basic idea is that the state, municipalities, and regions input, update, and retrieve data from the same databases, and that data is also made available to businesses and citizens.

It includes data on the environment, water, nature, land use, and climate adaptation. The data is used across various areas, for example, when citizens retrieve soil contamination certificates, when municipalities designate pesticide-free areas, or when the state prepares the national water plan, and wastewater regulations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://miljoeportal.dk/]]></homepage>
        <file_name>dmpcatalogue.1.0.0.zip</file_name>
        <icon>/media/packages/2025/dmpcatalogue.svg</icon>
        <author_name><![CDATA[Danmarks Miljøportal]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dmpcatalogue/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[danmarksmiljoeportal]]></uploaded_by>
        <create_date>2023-04-12T10:13:40.470983+00:00</create_date>
        <update_date>2023-04-12T10:13:42.150556+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/danmarksmiljoeportal/datacatalog-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/danmarksmiljoeportal/datacatalog-qgis-plugin]]></repository>
        <tags><![CDATA[wfs,wms,data,catalog,danmark,denmark,ortofoto,dmp,jordforurening,miljødata,danmarks miljøportal,katalog,dmp data catalogue]]></tags>
        <downloads>16260</downloads>
        <average_vote>4.356831654881795</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoTrace2" version="0.1" plugin_id="2932">
        <description><![CDATA[A QGIS plugin for geological mapping]]></description>
        <about><![CDATA[GeoTrace is a a QGIS plugin containing some helpful tools for extracting and analysing the orientations of geological structures. It is designed for optimising the following common tasks: (1) extracting linear features from raster data using a least-cost path based semi-automatic approach. (2) Estimating and imputing 3D orientations (strike and dip) from 2D traces + DEM data. (3) Extracting information from geological maps for e.g., 3D modelling. GeoTrace2 is an updated version of the original GeoTrace plugin that is currently in active development (so may be unstable!).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/QGeoTrace/GeoTrace2]]></homepage>
        <file_name>geo_trace.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_yBWCdZZ.png</icon>
        <author_name><![CDATA[Sam Thiele, Lachlan Grose]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geo_trace/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[samthiele]]></uploaded_by>
        <create_date>2023-04-18T16:24:46.587775+00:00</create_date>
        <update_date>2023-04-18T16:24:47.036686+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/QGeoTrace/GeoTrace2/issues]]></tracker>
        <repository><![CDATA[https://github.com/QGeoTrace/GeoTrace2]]></repository>
        <tags><![CDATA[python,geology,dem,mapping,stereonet,geophysics,orthoimage]]></tags>
        <downloads>3170</downloads>
        <average_vote>4.4439506721475395</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Green View Index" version="0.3" plugin_id="2939">
        <description><![CDATA[A plugin for Green View Index (GVI) operations]]></description>
        <about><![CDATA[A plugin to easily calculate Green View Index through Google Street View images. It includes 3 main tools: Generate Sample Points, Download Google Street View Images and Calculate Green View Index. It requires a Street View Static API and it uses the algorithm from Li et. al. (2015) to extract green pixels from an image. It has two python libraries as dependencies: scikit-image and gpsphoto. They can easily be installed through pip and OSGeo4W Shell.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kowalski93/Green-View-Index-for-QGIS]]></homepage>
        <file_name>green_view_index.0.3.zip</file_name>
        <icon>/media/packages/2023/logo_wnEFoAI.png</icon>
        <author_name><![CDATA[Alexandros Voukenas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/green_view_index/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[voukenas]]></uploaded_by>
        <create_date>2023-04-24T11:37:06.044684+00:00</create_date>
        <update_date>2023-05-02T17:09:08.264044+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kowalski93/Green-View-Index-for-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/kowalski93/Green-View-Index-for-QGIS]]></repository>
        <tags><![CDATA[python,street view,gvi,urban green,green view index,greenview]]></tags>
        <downloads>5697</downloads>
        <average_vote>4.374726579588775</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Topography" version="0.1" plugin_id="2940">
        <description><![CDATA[The plugin is available in this first version with the functionality to calculate closed polygons using the projections method.]]></description>
        <about><![CDATA[The plugin is available in this first version with the functionality to calculate closed polygons using the projections method.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sanhfari/topography]]></homepage>
        <file_name>topography.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_89uhZqQ.png</icon>
        <author_name><![CDATA[Keyla Sa T R Alves; Sandro H de Faria; Kaike Sa T R Alves]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/topography/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[sandrofaria]]></uploaded_by>
        <create_date>2023-04-25T19:05:26.897429+00:00</create_date>
        <update_date>2023-04-25T19:05:28.281790+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sanhfari/topography/issues]]></tracker>
        <repository><![CDATA[https://github.com/sanhfari/topography]]></repository>
        <tags><![CDATA[python,topography,topografia,poligonal fechada,taqueometry,taqueometria,cálculo de poligonal]]></tags>
        <downloads>2602</downloads>
        <average_vote>4.36323970548132</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Concaveman QGIS" version="0.1.11" plugin_id="2943">
        <description><![CDATA[Makes concave hull for points]]></description>
        <about><![CDATA[Generates concave hull around given points according to a very fast 2D concave hull algorithm (https://github.com/mapbox/concaveman)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alexlipovka/concaveman_qgis]]></homepage>
        <file_name>concaveman_qgis.0.1.11.zip</file_name>
        <icon>/media/packages/2023/logo_PDMgFgJ.png</icon>
        <author_name><![CDATA[Alex Lipovka]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/concaveman_qgis/version/0.1.11/download/</download_url>
        <uploaded_by><![CDATA[alipovka]]></uploaded_by>
        <create_date>2023-04-26T15:31:12.461234+00:00</create_date>
        <update_date>2023-05-08T12:40:24.699784+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alexlipovka/concaveman_qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/alexlipovka/concaveman_qgis]]></repository>
        <tags><![CDATA[vector,python,concave hull,hull]]></tags>
        <downloads>2587</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Network Store Plugin" version="1.8.8" plugin_id="2946">
        <description><![CDATA[Plugin to interact with KISTERS services as Network Store, Datasphere and ArrayStorage.
Includes credential management and bulk raster processing.]]></description>
        <about><![CDATA[- Experimental tools for KISTERS Network Store integration: upload/download network layers, bulk raster loading from ArrayStorage/Datasphere, classifications, and processing helpers.
- The JSON editor requires pyqtwebengine installed by OSGeoW4, or use linux.
- QGIS4/ pyqt6 support is in-development.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/kisters/network-store/network-store-qgis]]></homepage>
        <file_name>network-store-qgis.1.8.8.zip</file_name>
        <icon>/media/packages/2026/icon_kisters_400x400.jpg</icon>
        <author_name><![CDATA[Attila Bibok, KISTERS North-America]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/network-store-qgis/version/1.8.8/download/</download_url>
        <uploaded_by><![CDATA[attilabibok]]></uploaded_by>
        <create_date>2023-04-28T15:45:16.316220+00:00</create_date>
        <update_date>2026-01-21T15:32:27.123283+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/kisters/network-store/network-store-qgis/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/kisters/network-store/network-store-qgis]]></repository>
        <tags><![CDATA[python,raster,processing,network-store,arraystorage,datasphere,kisters]]></tags>
        <downloads>882</downloads>
        <average_vote>3.9986671109630123</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGPT Agent" version="0.4" plugin_id="2949">
        <description><![CDATA[QGPT Agent is LLM Assistant that uses openai GPT model to automate QGIS processes]]></description>
        <about><![CDATA[The QGPT Agent is a powerful plugin for QGIS that utilizes the advanced natural language processing capabilities of the OpenAI GPT model to automate various processes in QGIS. With this plugin, users can interact with the QGIS software using natural language commands, significantly reducing the time and effort required to complete various tasks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/momaabna/QGPTAgent]]></homepage>
        <file_name>qgpt_agent_release.0.4.zip</file_name>
        <icon>/media/packages/2023/icon_MpbbvHa.png</icon>
        <author_name><![CDATA[Mohammed Nasser]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgpt_agent_release/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[mohammednasser]]></uploaded_by>
        <create_date>2023-05-03T00:45:30.808726+00:00</create_date>
        <update_date>2023-05-19T17:27:11.857339+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/momaabna/QGPTAgent/issues]]></tracker>
        <repository><![CDATA[https://github.com/momaabna/QGPTAgent]]></repository>
        <tags><![CDATA[python,productivity,automation,gpt,assistant,llm]]></tags>
        <downloads>5897</downloads>
        <average_vote>4.168777028869755</average_vote>
        <rating_votes>77</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="APLS" version="0.1" plugin_id="2951">
        <description><![CDATA[This plugin performs Average Path Length Similarity]]></description>
        <about><![CDATA[This Plugin Performs Predicted Road Network Evaluation based on Average Path Length Similarity APLS this plugin is using djkstara for shortest path finding.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/momaabna/APLS_Plugin]]></homepage>
        <file_name>APLS_Plugin_release.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_Al2UmHl.png</icon>
        <author_name><![CDATA[Mohammed Nasser]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/APLS_Plugin_release/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mohammednasser]]></uploaded_by>
        <create_date>2023-05-05T15:35:26.229685+00:00</create_date>
        <update_date>2023-05-05T15:35:26.848555+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/momaabna/APLS_Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/momaabna/APLS_Plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1511</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Adjust Style" version="1.9" plugin_id="2952">
        <description><![CDATA[Quickly adjust the symbology (colors, stroke, font) for all layers.]]></description>
        <about><![CDATA[Adjust the symbology of a map with a few clicks instead of altering every single symbol (and symbol layer) in a project with many layers, categories and label rules. With one click you can change the symbol or fonts on all layers (or all selected layers) consistantly, try out how different colors / stroke widths / fonts work for a project.
Allows to save and load styles of all layers – or even to apply styles to another project.
With one click, it allows to adjust color of all symbols (including color ramps and any number of symbol layers) and labels using the HSV color model: rotate hue (think of a color wheel), change saturation and value; change line thickness (i.e. stroke width of all symbols / symbol borders); change font size of all labels; replace a font family used in labels with another font family; save / load the styles of all layers at once into/from a given folder.
Since version 1.9, the same changes can be applied to print layouts (text labels, legend, scale bar, etc.).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/florianneukirchen/qgis_adjust_style]]></homepage>
        <file_name>qgis_adjust_style.1.9.zip</file_name>
        <icon>/media/packages/2026/icon_J5YQXRE.png</icon>
        <author_name><![CDATA[Florian Neukirchen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_adjust_style/version/1.9/download/</download_url>
        <uploaded_by><![CDATA[riannek]]></uploaded_by>
        <create_date>2023-05-11T07:26:47.900009+00:00</create_date>
        <update_date>2024-08-23T20:25:51.778769+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/florianneukirchen/qgis_adjust_style/issues]]></tracker>
        <repository><![CDATA[https://github.com/florianneukirchen/qgis_adjust_style]]></repository>
        <tags><![CDATA[vector,python,raster,point,polygon,style,line,labeling,layers,color,font]]></tags>
        <downloads>39288</downloads>
        <average_vote>4.563985538832338</average_vote>
        <rating_votes>39</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Non_electrical_vehicle" version="0.1" plugin_id="2962">
        <description><![CDATA[This plugins calculates number of non electrical vehicles]]></description>
        <about><![CDATA[This plugin calculates number of non electrical vehicles, integrated to air pollutant emission calcul]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TAHuy-Le/Non_electrical_vehicle]]></homepage>
        <file_name>non_electrical_vehicle.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_DLrWlPK.png</icon>
        <author_name><![CDATA[Truong Anh Huy LE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/non_electrical_vehicle/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[tahle]]></uploaded_by>
        <create_date>2023-05-17T12:27:51.686242+00:00</create_date>
        <update_date>2023-05-17T12:27:51.936047+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TAHuy-Le/Non_electrical_vehicle]]></tracker>
        <repository><![CDATA[https://github.com/TAHuy-Le/Non_electrical_vehicle]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>525</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Image vectorisator" version="0.1" plugin_id="2965">
        <description><![CDATA[Plugin for image vectorisation]]></description>
        <about><![CDATA[THIS PLUGIN IS UNDER DEVOLOPMENT! This plugin is designed to convert satellite images into vector data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.3.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Euk0r/image_vectorisator]]></homepage>
        <file_name>image_vectorisator.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_tRro5Yj.png</icon>
        <author_name><![CDATA[Euk0r]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/image_vectorisator/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[euk0r]]></uploaded_by>
        <create_date>2023-05-23T07:27:20.305380+00:00</create_date>
        <update_date>2023-05-23T07:27:23.305212+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Euk0r/image_vectorisator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Euk0r/image_vectorisator]]></repository>
        <tags><![CDATA[python satelite image vectorisation vector euk0r]]></tags>
        <downloads>1238</downloads>
        <average_vote>3.285244965004999</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Road Vectorisation" version="0.1" plugin_id="2966">
        <description><![CDATA[This plugin is designed to vectorize roads on satellite images]]></description>
        <about><![CDATA[This plugin is designed to vectorize roads on satellite images.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.3.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/IsaevaOksana/road_vect]]></homepage>
        <file_name>road_vect.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_pnSf3RV.png</icon>
        <author_name><![CDATA[Isaeva Oksana]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/road_vect/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[isaevaoksana]]></uploaded_by>
        <create_date>2023-05-23T08:17:02.696946+00:00</create_date>
        <update_date>2023-05-23T08:17:05.867337+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IsaevaOksana/road_vect/issues]]></tracker>
        <repository><![CDATA[https://github.com/IsaevaOksana/road_vect]]></repository>
        <tags><![CDATA[python roads vector vectorisation]]></tags>
        <downloads>1629</downloads>
        <average_vote>4.437222673582901</average_vote>
        <rating_votes>16</rating_votes>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IPP" version="0.1" plugin_id="2967">
        <description><![CDATA[This plugin calculates IPP]]></description>
        <about><![CDATA[This plugin calculates IPP]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TAHuy-Le/IPP]]></homepage>
        <file_name>IPP.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_NF2kofZ.png</icon>
        <author_name><![CDATA[Truong Anh Huy LE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/IPP/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[tahle]]></uploaded_by>
        <create_date>2023-05-23T12:01:07.470537+00:00</create_date>
        <update_date>2023-05-23T12:01:07.637297+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TAHuy-Le/IPP]]></tracker>
        <repository><![CDATA[https://github.com/TAHuy-Le/IPP]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>660</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ERS" version="0.1" plugin_id="2968">
        <description><![CDATA[This plugin determines calculated polluant concentrations around sensible sites&#x27;s perimeters]]></description>
        <about><![CDATA[This plugin determines calculated polluant concentrations around sensible sites&#x27;s perimeters]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TAHuy-Le/ERS]]></homepage>
        <file_name>ers.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_7c0nLb4.png</icon>
        <author_name><![CDATA[Truong Anh Huy LE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ers/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[tahle]]></uploaded_by>
        <create_date>2023-05-24T15:18:09.945434+00:00</create_date>
        <update_date>2023-05-24T15:18:10.305892+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TAHuy-Le/ERS]]></tracker>
        <repository><![CDATA[https://github.com/TAHuy-Le/ERS]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>623</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DiscordRPC Plugin for QGIS" version="2.0" plugin_id="2974">
        <description><![CDATA[QGIS plugin that enables displaying a Rich Presence in Discord]]></description>
        <about><![CDATA[QGIS plugin that enables displaying a Rich Presence in Discord.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Ahhj93/DiscordRPC-Plugin-for-QGIS]]></homepage>
        <file_name>DiscordRPC-Plugin-for-QGIS.2.0.zip</file_name>
        <icon>/media/packages/2024/icon_p0S7wbi.png</icon>
        <author_name><![CDATA[Ahhj93]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DiscordRPC-Plugin-for-QGIS/version/2.0/download/</download_url>
        <uploaded_by><![CDATA[ahhj]]></uploaded_by>
        <create_date>2023-05-29T09:04:59.853504+00:00</create_date>
        <update_date>2023-10-14T18:29:15.127327+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Ahhj93/DiscordRPC-Plugin-for-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Ahhj93/DiscordRPC-Plugin-for-QGIS]]></repository>
        <tags><![CDATA[python,qgis,discord]]></tags>
        <downloads>4962</downloads>
        <average_vote>4.807507403561401</average_vote>
        <rating_votes>26</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Triple2Layer" version="0.1" plugin_id="2975">
        <description><![CDATA[Import geographic data from SPARQL endpoints and data.world into QGIS vector layers.]]></description>
        <about><![CDATA[Triple2Layer bridges the gap between the Semantic Web and GIS by allowing users to execute SPARQL queries and import results as native QGIS layers (Points, Lines, Polygons) from WKT data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LambdaGeo/qgisparql-triple2layer]]></homepage>
        <file_name>qgisparql-triple2layer-main.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_F3NBF1O.png</icon>
        <author_name><![CDATA[Sérgio Costa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisparql-triple2layer-main/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[sergiocosta]]></uploaded_by>
        <create_date>2023-05-29T20:59:45.484265+00:00</create_date>
        <update_date>2023-05-29T20:59:47.268303+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LambdaGeo/qgisparql-triple2layer/issues]]></tracker>
        <repository><![CDATA[https://github.com/LambdaGeo/qgisparql-triple2layer.git]]></repository>
        <tags><![CDATA[wkt,database,sparql,linked data,rdf,semantic web,geosparql]]></tags>
        <downloads>772</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Faunalia Toolkit" version="0.1.0" plugin_id="2980">
        <description><![CDATA[Cartographic and spatial awesome analysis tool and much much more!]]></description>
        <about><![CDATA[Cartographic and spatial awesome analysis tool and much much more!]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/faunalia/faunalia-toolkit]]></homepage>
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        <icon>/media/packages/2023/faunalia.svg</icon>
        <author_name><![CDATA[Matteo Ghetta (Faunalia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/faunalia_toolkit/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[ghtmtt]]></uploaded_by>
        <create_date>2023-06-01T09:27:33.387447+00:00</create_date>
        <update_date>2023-06-01T09:27:33.575651+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/faunalia/faunalia-toolkit/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/faunalia/faunalia-toolkit]]></repository>
        <tags><![CDATA[analysis,processing,mesh,cartography,meteo,copernicus,historical,pandas]]></tags>
        <downloads>1223</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GroundTruther" version="0.3" plugin_id="2982">
        <description><![CDATA[A toolset for Seafloor Caracterization]]></description>
        <about><![CDATA[A toolset for seafloor characterization]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/epifanio/groundtruther]]></homepage>
        <file_name>groundtruther.0.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[epinux]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/groundtruther/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[epifanio]]></uploaded_by>
        <create_date>2023-06-01T16:22:46.390000+00:00</create_date>
        <update_date>2023-06-01T16:22:47.848209+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/epifanio/groundtruther]]></tracker>
        <repository><![CDATA[https://github.com/epifanio/groundtruther]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>761</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="3DCityDB Tools" version="0.8.2" plugin_id="2984">
        <description><![CDATA[Tools to visualize and manipulate CityGML 2.0 data stored in the 3D City Database 4.x]]></description>
        <about><![CDATA[This plugin connects to the 3D City Database (v. 4.x) for PostgreSQL/PostGIS. It consists of:

- The &quot;Layer Loader&quot;: it loads data as &quot;classical&quot; layers into QGIS. All CityGML LoDs are supported, as well as multiple citydb schemas and multiple database users. Feature attributes can be edited, changes are stored back directly into the database;

- The &quot;Bulk Deleter&quot;: it allows to clean up the database, or to delete selected feature types;

- The &quot;QGIS Package Administrator&quot;: it allows to install the server-side part of the plug-in and to manage database user privileges.

On the GitHub repository further resources are provided: the installation and user manual, as well as some test datasets can be downloaded.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tudelft3d/3DCityDB-Tools-for-QGIS]]></homepage>
        <file_name>citydb-tools.0.8.2.zip</file_name>
        <icon>/media/packages/2026/plugin_icon_GOg8GkV.png</icon>
        <author_name><![CDATA[Giorgio Agugiaro, Konstantinos Pantelios]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/citydb-tools/version/0.8.2/download/</download_url>
        <uploaded_by><![CDATA[gioagu]]></uploaded_by>
        <create_date>2023-06-02T08:09:57.639582+00:00</create_date>
        <update_date>2023-06-02T08:09:57.812468+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tudelft3d/3DCityDB-Tools-for-QGIS]]></tracker>
        <repository><![CDATA[https://github.com/tudelft3d/3DCityDB-Tools-for-QGIS]]></repository>
        <tags><![CDATA[postgis,postgresql,cityjson,3dcitydb,citygml]]></tags>
        <downloads>69225</downloads>
        <average_vote>4.73591023415483</average_vote>
        <rating_votes>231</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tweet my river" version="1.0" plugin_id="2985">
        <description><![CDATA[AI Tweet classifier for river layers]]></description>
        <about><![CDATA[This plugin was generated with Plugin Builder and enables users to extract, translate, and filter tweets from a river layer, allowing for their classification into different Cultural Ecosystem Services categories. For detailed instructions on how to use the plugin and understand its structure, please visit the &quot;homepage&quot; option on this page, where you will find a comprehensive video tutorial. To ensure the plugin&#x27;s functionality, it requires certain external Python libraries. The recommended versions of these libraries are as follows: Tweepy==4.12.1, openpyxl==3.0.10, deep_translator==1.11.0, nltk==3.8.1, scikit_learn==1.2.1, xlsxwriter==3.0.8. For additional help on how to install these libraries on the QGIS Python environment on Windows by using the OSGeo4W shell, please refer to the instructions provided in the readme file on the code repository.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.youtube.com/watch?v=xF1VT5qy0NI]]></homepage>
        <file_name>TweetMyRiver.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Oliu Llorente, Francesc Comalada, Joan Saló, Xavier Garcia and Vicenç Acuña, ICRA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TweetMyRiver/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[oliu]]></uploaded_by>
        <create_date>2023-06-02T08:59:55.792729+00:00</create_date>
        <update_date>2023-06-02T08:59:56.288767+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/icra/TweetMyRiver/issues]]></tracker>
        <repository><![CDATA[https://github.com/icra/TweetMyRiver]]></repository>
        <tags><![CDATA[python,cultural ecosystem services,freshwater ecosystems]]></tags>
        <downloads>564</downloads>
        <average_vote>4.165972337943676</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="COA TPW Polygonizer" version="0.2.1" plugin_id="2988">
        <description><![CDATA[This plugin can be used to create polygons that track the shape of a line network, including the proper handling of intersections with common nodes of the line segments.]]></description>
        <about><![CDATA[The Vision Zero team of the City of Austin&#x27;s Transportation and Public works department uses polygons created from the street network to aggregate vehicle crashes to allow for comparisons of different parts of the City&#x27;s road network. This plugin is intended to facilitate the creation and maintenance of this geometry as the city&#x27;s expands its road network.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/frankhereford/qgis-polygonizer]]></homepage>
        <file_name>qgis-polygonizer.0.2.1.zip</file_name>
        <icon>/media/packages/2024/icon_CILfuEY.png</icon>
        <author_name><![CDATA[DTS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-polygonizer/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[frankinaustin]]></uploaded_by>
        <create_date>2023-06-02T14:00:13.807465+00:00</create_date>
        <update_date>2024-01-22T17:33:30.029014+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/frankhereford/qgis-polygonizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/frankhereford/qgis-polygonizer]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4281</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LocationFinder" version="0.1.0" plugin_id="2989">
        <description><![CDATA[Allow QGIS to use LocationFinder (interactive geocoding)]]></description>
        <about><![CDATA[This QGIS Plugin allows interactive geocoding against a LocationFinder instance.
The user interface consists of a dockable window where you can type location names and see geocoded results.
It also includes a map tool for reverse geocoding: click map to find nearest location(s).
About LocationFinder, please see https://dirageosystems.ch]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dirageosystems/LocationFinder.QGIS]]></homepage>
        <file_name>location_finder.0.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_IYBWZWw.png</icon>
        <author_name><![CDATA[ujr for Dira GeoSystems]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/location_finder/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[ujr]]></uploaded_by>
        <create_date>2023-06-04T15:50:13.081440+00:00</create_date>
        <update_date>2023-06-05T11:48:46.002880+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dirageosystems/LocationFinder.QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/dirageosystems/LocationFinder.QGIS]]></repository>
        <tags><![CDATA[python,geocoding,geocode,geocoder,dira]]></tags>
        <downloads>9071</downloads>
        <average_vote>3.570918440222825</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PathoGAME" version="0.2" plugin_id="2995">
        <description><![CDATA[The goal is to find the location of the contamination as soon as possible.]]></description>
        <about><![CDATA[PathoGAME is an interactive QGIS plugin that turns the task of finding contaminants into an exciting game. Its main goal is to assist users in accurately identifying where contaminants are located. The game uses the benchmark water network `Anytown`. `ImportEpanetInpFiles` QGIS plugin was used to convert EPANET input files into shapefiles. In the first level, you have the assistance of 10 sensors (green color) that can detect the contamination (red color) within the water network. In the second level, the number of sensors is reduced to 5, and in the final level, you only have 3 sensors. Additionally, each level provides a heart help, which grants an extra sensor placed randomly. The contamination&#x27;s location is randomized. The user is presented with two options to select the correct contamination location at each level.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/KIOS-Research/PathoGAME]]></homepage>
        <file_name>PathoGAME.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Marios S. Kyriakou, Stelios G. Vrachimis, Demetrios G. Eliades, KIOS Research and Innovation Center of Excellence (KIOS CoE)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PathoGAME/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[mariosmsk]]></uploaded_by>
        <create_date>2023-06-08T10:14:13.454201+00:00</create_date>
        <update_date>2023-06-13T07:37:52.030953+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/KIOS-Research/PathoGAME/issues]]></tracker>
        <repository><![CDATA[https://github.com/KIOS-Research/PathoGAME]]></repository>
        <tags><![CDATA[network,inp,epanet,pathocert,epyt,pathogame]]></tags>
        <downloads>4137</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UA_MBD_TOOLS" version="0.2.3" plugin_id="2998">
        <description><![CDATA[Tools for]]></description>
        <about><![CDATA[UA_MBD_TOOLS плагін створений за підтримки створено за підтримки ініціативної групи краудсорсингового проекту &#x27;Відкриті інструменти просторового планування в Україні&#x27;. Плагін UA_MBD_TOOLS містить інструменти, що покликані спростити роботу при проектуванні містобудівної документації за структурою БГД (затвердженої наказом Мінрегіону) та інших робіт з просторовими даними.
1. Пакетний імпорт обмінних файлів в форматах: .json, .geojson, .shp (Shape), .gdb (Esri FileGDB), .gpkg (Geopackage)
2. Пакетний експорт обмінних файлів в форматах: .json, .geojson, .shp (Shape), .gdb (Esri FileGDB), .gpkg (Geopackage)
3. Зміна СК шарів в ПУСТИХ базах geopackage та gdb (для перерахунку координат об&#x27;єктів потрібно розробляти окремий алгоритм)
4. Присвоєння стилів (символіка та підписи) шарам (можливо використовувати власні шари, метчінг йде за назвою файлу або таблиці з шаром і назвою файлу стилю)
The UA_MBD_TOOLS plugin was created with the support of the initiative group of the crowdsourcing project &#x27;Open Spatial Planning Tools in Ukraine&#x27;. The UA_MBD_TOOLS plugin contains tools designed to simplify the work of designing urban planning documentation according to the structure of the GDB (approved by the order of the Ministry of Regional Development) List of available functions: 		1. Batch import of exchange files in formats: .json, .geojson, .shp (Shape), .gdb (Esri FileGDB), .gpkg (Geopackage)
2. Batch export of exchange files in formats: .json, .geojson, .shp (Shape), .gdb (Esri FileGDB), .gpkg (Geopackage)
3. Changing the SC of layers in the EMPTY geopackage and gdb databases (a separate algorithm must be developed to recalculate the coordinates of objects)
4. Assigning styles (symbols and captions) to layers (you can use your own layers, tagging goes by the name of the file or table with the layer and the name of the style file)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Bohdan2505/UA_MBD_TOOLS]]></homepage>
        <file_name>ua_mbd_tools.0.2.3.zip</file_name>
        <icon>/media/packages/2025/icon_CMeUhGB.png</icon>
        <author_name><![CDATA[Bohdan2505]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ua_mbd_tools/version/0.2.3/download/</download_url>
        <uploaded_by><![CDATA[bohdan2505]]></uploaded_by>
        <create_date>2023-06-14T07:23:47.971338+00:00</create_date>
        <update_date>2025-09-09T06:29:58.950165+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Bohdan2505/UA_MBD_TOOLS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Bohdan2505/UA_MBD_TOOLS]]></repository>
        <tags><![CDATA[python,import,urban_planning]]></tags>
        <downloads>3175</downloads>
        <average_vote>4.737627252012262</average_vote>
        <rating_votes>61</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="isobenefit" version="0.4" plugin_id="3000">
        <description><![CDATA[Isobenefit Urbanism plugin for QGIS.]]></description>
        <about><![CDATA[The Isobenefit Urbanism QGIS plugin is a tool for brainstorming walkable urban development against real-world datasets. The algorithm is based on walkable access to centralities (shops, services) and green spaces. Please see the homepage link for more background information.
Please refer to the repository for the source code and the README.md file for additional information.
A demo project is provided in the project repository in the &quot;demo_layers&quot; folder.
This plugin is currently marked as experimental. To see the plugin in the plugin repository, it is necessary to select the option for showing experimental plugins in the plugin settings dialogue box.
Installation requires the &quot;numba&quot; and &quot;rasterio&quot; Python packages. QGIS does not (yet) have an automated dependency resolution workflow so these packages have to be installed directly; please see the README file for examples of how to do this on your system.
Please note that dependency installation may need to be repeated when upgrading your QGIS installation.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github-pages.ucl.ac.uk/BSP-isobenefit-urbanism/]]></homepage>
        <file_name>isobenefit.0.4.zip</file_name>
        <icon>/media/packages/2023/icon_szFj8gM.png</icon>
        <author_name><![CDATA[Gareth Simons]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/isobenefit/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[songololo]]></uploaded_by>
        <create_date>2023-06-14T10:35:25.213286+00:00</create_date>
        <update_date>2023-07-07T21:15:58.219382+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UCL/BSP-isobenefit-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/UCL/BSP-isobenefit-qgis-plugin]]></repository>
        <tags><![CDATA[pyqgis simulation planning]]></tags>
        <downloads>783</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ALKIS Plugin" version="0.2" plugin_id="3004">
        <description><![CDATA[Das Plugin verfügt über zwei Werkzeugkästen und insgesamt vier einfache Werkzeuge. Im Werkzeugkasten &quot;Gebäude&quot; finden Sie drei nützliche Werkzeuge, um ALKIS-Gebäudedaten aufzubereiten. Sie können Dachüberstände erstellen, Gebäude auf der Erdoberfläche extrahieren und redundante Gebäudeteile eliminieren. Im Werkzeugkasten &quot;Nutzung&quot; steht Ihnen ein weiteres Werkzeug zur Verfügung, mit dem Sie die Objektarten in den Objektartengruppen Vegetation, Siedlung, Verkehr und Gewässer zuordnen können. Das Plugin erfordert als Datengrundlage ALKIS-Daten im vereinfachten Format, die in NRW, Deutschland, frei verfügbar sind. Dieses Plugin wurde zu Demonstrationszwecken entwickelt. Das Ziel besteht darin, in einer Videoreihe die Entwicklung eines Plugins ohne die Anwendung von Python vorzustellen.

Die Tutorials dazu findet ihr in der folgenden Playlist: https://www.youtube.com/playlist?list=PLq5L9pOv_ur5wRAVHt3iVw61mUUpb54aJ]]></description>
        <about><![CDATA[Dieses Plugin wurde zu Demonstrationszwecken entwickelt. Es verfügt über zwei Werkzeugkästen und insgesamt vier einfache Werkzeuge. Das Ziel besteht darin, in einer Videoreihe die Entwicklung eines Plugins ohne die Anwendung von Python vorzustellen. Für die Entwicklung der Werkzeuge wird ausschließlich die grafische Modellierung in QGIS verwendet. Das Plugin erfordert als Datengrundlage ALKIS-Daten im vereinfachten Format, die in NRW, Deutschland, frei verfügbar sind. Beispieldaten können unter dem fogenden Link heruntergeladen werden: https://github.com/SajjadTabatabaei05/alkis_plugin/tree/main/Beispieldaten

Im Werkzeugkasten &quot;Gebäude&quot; finden Sie drei nützliche Werkzeuge, um ALKIS-Gebäudedaten aufzubereiten. Sie können Dachüberstände erstellen, Gebäude auf der Erdoberfläche extrahieren und redundante Gebäudeteile eliminieren. Im Werkzeugkasten &quot;Nutzung&quot; steht Ihnen ein weiteres Werkzeug zur Verfügung, mit dem Sie die Objektarten in den Objektartengruppen Vegetation, Siedlung, Verkehr und Gewässer zuordnen können.

Die Tutorials dazu findet ihr in der folgenden Playlist: https://www.youtube.com/playlist?list=PLq5L9pOv_ur5wRAVHt3iVw61mUUpb54aJ]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SajjadTabatabaei05/alkis_plugin]]></homepage>
        <file_name>alkis_modul.0.2.zip</file_name>
        <icon>/media/packages/2023/icon2.png</icon>
        <author_name><![CDATA[Sajjad Tabatabaei]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/alkis_modul/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[sajjad]]></uploaded_by>
        <create_date>2023-06-15T17:07:04.697055+00:00</create_date>
        <update_date>2023-06-21T15:47:31.808334+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SajjadTabatabaei05/alkis_plugin]]></tracker>
        <repository><![CDATA[https://github.com/SajjadTabatabaei05/alkis_plugin]]></repository>
        <tags><![CDATA[python,alkis,kataster,nrw,deutschland]]></tags>
        <downloads>3019</downloads>
        <average_vote>3.8498075096245183</average_vote>
        <rating_votes>20</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Fuzzy Logic Toolbox" version="0.1" plugin_id="3008">
        <description><![CDATA[This plugin implements the fuzzy inference system]]></description>
        <about><![CDATA[This plugin implements the fuzzy inference system]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/PrakritiShetty/GNR633Project_QGISPlugin/blob/main/README.md]]></homepage>
        <file_name>fis_plugin.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Prakriti Shetty]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fis_plugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[prakritishetty]]></uploaded_by>
        <create_date>2023-06-18T04:37:56.314725+00:00</create_date>
        <update_date>2023-06-18T04:37:56.625998+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/PrakritiShetty/GNR633Project_QGISPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/PrakritiShetty/GNR633Project_QGISPlugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>1013</downloads>
        <average_vote>4.461195292669795</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Station Offset" version="1.0.4" plugin_id="3014">
        <description><![CDATA[This plugin computes the station and offset of points along polylines and exports those values to csv for other applications]]></description>
        <about><![CDATA[This plugin creates a .csv file containing the station and offset of all points in a point feature layer for each polyline in a polyline feature layer. This is useful to convert three-dimensional survey data to two dimensional survey data (station/offset).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.tailwaterlimited.com/stationOffset.html]]></homepage>
        <file_name>Station_Offset.1.0.4.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Tailwater Limited]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Station_Offset/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[tailwater]]></uploaded_by>
        <create_date>2023-06-20T15:57:16.025457+00:00</create_date>
        <update_date>2023-08-25T23:07:07.028238+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/actaillacq/Station_Offset/issues]]></tracker>
        <repository><![CDATA[https://github.com/actaillacq/Station_Offset]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4966</downloads>
        <average_vote>4.461195292669795</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Lahar Flow Map Tools" version="0.1.5" plugin_id="3015">
        <description><![CDATA[This plugin is for opening and processing results from LaharFlow]]></description>
        <about><![CDATA[This plugin opens and processes results from LaharFlow.  LaharFlow is a numerical shallow-layer model of lahars on topography, with morphodynamics and a concentration-dependent drag function.  LaharFlow outputs georeferenced netcdf files that can be opened as raster layers in QGIS.  This plugin performs some common styling to this data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://bitbucket.org/markwoodhouse/laharflow_maptools/]]></homepage>
        <file_name>laharflow_maptools.0.1.5.zip</file_name>
        <icon>/media/packages/2023/icon_LdSl9Fu.png</icon>
        <author_name><![CDATA[Mark Woodhouse]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/laharflow_maptools/version/0.1.5/download/</download_url>
        <uploaded_by><![CDATA[markwoodhouse]]></uploaded_by>
        <create_date>2023-06-20T20:22:59.457788+00:00</create_date>
        <update_date>2023-08-07T15:29:40.831885+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://bitbucket.org/markwoodhouse/laharflow_maptools/issues]]></tracker>
        <repository><![CDATA[https://bitbucket.org/markwoodhouse/laharflow_maptools/]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2288</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Eqip" version="0.2.0" plugin_id="3018">
        <description><![CDATA[QGIS Pip Management]]></description>
        <about><![CDATA[This tool provieds a way to manage python requirements using pip in the QGis python environment.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/automaps/eqip]]></homepage>
        <file_name>eqip.0.2.0.zip</file_name>
        <icon>/media/packages/2024/icon_FZYHJDt.png</icon>
        <author_name><![CDATA[Heider]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eqip/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[heider]]></uploaded_by>
        <create_date>2023-06-21T09:02:15.703042+00:00</create_date>
        <update_date>2024-04-07T20:52:27.989301+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/automaps/eqip/issues]]></tracker>
        <repository><![CDATA[https://github.com/automaps/eqip]]></repository>
        <tags><![CDATA[python,live,geometry,debugging,inspection,collections,shapely]]></tags>
        <downloads>9716</downloads>
        <average_vote>4.4439506721475395</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="pandapower QGis Plugin" version="0.0.2" plugin_id="3020">
        <description><![CDATA[Plugin to work with pandapower or pandapipes networks]]></description>
        <about><![CDATA[pandapower/pandapipes networks contain geodata, which are often created with qgis. This plugin will allow to work directly with corresponding tables.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/e2nIEE/pandapower-qgis]]></homepage>
        <file_name>pandapower-qgis.0.0.2.zip</file_name>
        <icon>/media/packages/2026/pp.png</icon>
        <author_name><![CDATA[Fraunhofer IEE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pandapower-qgis/version/0.0.2/download/</download_url>
        <uploaded_by><![CDATA[mvogt]]></uploaded_by>
        <create_date>2023-06-22T20:54:13.059719+00:00</create_date>
        <update_date>2023-06-27T09:38:52.709889+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/e2nIEE/pandapower-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/e2nIEE/pandapower-qgis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1337</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FilePath" version="0.1" plugin_id="3021">
        <description><![CDATA[Copies the path of layer]]></description>
        <about><![CDATA[Copies path of the layer to clipboard. Opens file location of the layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/enigmarosan/Qgis-Plugin/tree/main]]></homepage>
        <file_name>FilePath.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_deSwskb.png</icon>
        <author_name><![CDATA[Rosan Pandey]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FilePath/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[enigmaroshan]]></uploaded_by>
        <create_date>2023-06-23T04:56:06.250441+00:00</create_date>
        <update_date>2023-06-23T04:56:06.594397+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/enigmarosan/Qgis-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/enigmarosan/Qgis-Plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2172</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geojson Filling" version="0.1" plugin_id="3028">
        <description><![CDATA[Allows to fill imported geojson layers with pre-defined field values]]></description>
        <about><![CDATA[Plugin which allows to automatically fill imported geojson layers with pre-defined field values.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/SBCV/QGIS-Plugin-Geojson-Filling]]></homepage>
        <file_name>geojson_filling.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_z4gl9Ya.png</icon>
        <author_name><![CDATA[Sebastian Bullinger]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geojson_filling/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[sbcv]]></uploaded_by>
        <create_date>2023-06-29T06:56:09.765854+00:00</create_date>
        <update_date>2023-06-29T06:56:10.205071+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SBCV/QGIS-Plugin-Geojson-Filling/issues]]></tracker>
        <repository><![CDATA[https://github.com/SBCV/QGIS-Plugin-Geojson-Filling]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>815</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="eagris" version="1.4.1" plugin_id="3031">
        <description><![CDATA[QGIS eAGRI plugin]]></description>
        <about><![CDATA[An experimental QGIS plugin developed in Python. Enables to view eAGRI subsidy data. All the external dependencies are listed in ../requirements/minimum.txt]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.4-Białowieża</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/zezulka/qgis-eagri/-/blob/master/README.md]]></homepage>
        <file_name>eagris.1.4.1.zip</file_name>
        <icon>/media/packages/2024/eagris.png</icon>
        <author_name><![CDATA[Miloslav Zezulka]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eagris/version/1.4.1/download/</download_url>
        <uploaded_by><![CDATA[eagris]]></uploaded_by>
        <create_date>2023-07-01T15:15:08.388178+00:00</create_date>
        <update_date>2024-01-14T13:22:48.692957+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/zezulka/qgis-eagri/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/zezulka/qgis-eagri]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>3354</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UA XML importer" version="0.6.1.1" plugin_id="3033">
        <description><![CDATA[Імпорт інформації з кадастрового обмінного файлу XML]]></description>
        <about><![CDATA[Плагін імпортує геометрії ділянок, обмежень, угідь, та територіальних зон з одного або декількох XML файлів, і вставляє їх в тимчсові шари, з додаванням атрибуту імені файлу з якого завантажилася геометрія, та деяких інших атрибутів об&#x27;єктів.
Майте на увазі - плагін не імпортує всю інформацію, що наявна в обмінному файлі.

Інформацію про виявлені помилки, та побажання щодо роботи плагіну пишіть в JD Help chat в Telegram: https://t.me/+eq7gtxjTXYBjZmUy.

Плагін розроблено в рамках проекту &quot;Відкриті інструменти просторового планування для України&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/brych92/UA_XML_Importer]]></homepage>
        <file_name>UA_XML_importer.0.6.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_XMSlb7w.png</icon>
        <author_name><![CDATA[Стьопа]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/UA_XML_importer/version/0.6.1.1/download/</download_url>
        <uploaded_by><![CDATA[brych92]]></uploaded_by>
        <create_date>2023-07-05T16:48:47.472114+00:00</create_date>
        <update_date>2024-02-12T07:53:23.580810+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/brych92/UA_XML_Importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/brych92/UA_XML_Importer]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>6528</downloads>
        <average_vote>4.4997187675770265</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VFK Plugin" version="3.1.1" plugin_id="3038">
        <description><![CDATA[Data českého katastru nemovitostí (VFK)&lt;br&gt;&lt;br&gt;Czech cadastre data (VFK)]]></description>
        <about><![CDATA[Zásuvný modul umožňující práci s daty českého katastru nemovitostí ve formátu VFK. Nástroj podporuje vyhledávání a dotazování parcel, budov, vlastníků a jednotek. Výsledky vyhledávání je následně možné exportovat či zobrazit v mapě.&lt;br&gt;&lt;br&gt;Plugin to work with Czech cadastre data in VFK format. The tool supports saerching and querying parcels, buildings, owners, and units. Results may be exported or visualized in map canvas.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ctu-geoforall-lab.github.io/qgis-vfk-plugin/]]></homepage>
        <file_name>qgis-vfk-plugin.3.1.1.zip</file_name>
        <icon>/media/packages/2024/vfkPluginIcon_ylr8TKV.png</icon>
        <author_name><![CDATA[Anna Petrasova, Vaclav Petras, Stepan Bambula, Martin Landa (CTU GeoForAll Lab)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-vfk-plugin/version/3.1.1/download/</download_url>
        <uploaded_by><![CDATA[martinl]]></uploaded_by>
        <create_date>2023-07-10T16:52:30.334184+00:00</create_date>
        <update_date>2023-10-09T06:38:17.359479+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ctu-geoforall-lab/qgis-vfk-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/ctu-geoforall-lab/qgis-vfk-plugin.git]]></repository>
        <tags><![CDATA[cadastre,cuzk,vfk,iskn]]></tags>
        <downloads>5066</downloads>
        <average_vote>2.9996250468691414</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Hub Plugin" version="0.1.0" plugin_id="3039">
        <description><![CDATA[A QGIS plugin to fetch resources from the QGIS Hub]]></description>
        <about><![CDATA[A QGIS plugin to fetch resources from the QGIS Hub]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://qgis.github.io/QGIS-Hub-Plugin/]]></homepage>
        <file_name>qgis_hub_plugin.0.1.0.zip</file_name>
        <icon>/media/packages/2025/QGIS_Hub_icon_K8IU6el.svg</icon>
        <author_name><![CDATA[Ismail Sunni, Ronit Jadhav]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_hub_plugin/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[ismailsunni]]></uploaded_by>
        <create_date>2023-07-13T01:59:57.975274+00:00</create_date>
        <update_date>2023-07-13T01:59:58.478532+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgis/QGIS-Hub-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgis/QGIS-Hub-Plugin]]></repository>
        <tags><![CDATA[python,map,project,layer,style,processing,hub,resource,3d model,processing model]]></tags>
        <downloads>25425</downloads>
        <average_vote>4.799862861061113</average_vote>
        <rating_votes>35</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Imagine Sustainability" version="0.9.2" plugin_id="3043">
        <description><![CDATA[sustainability assessment tool based on geographic MCDA algorithms. Especially suitable for Natura 2000 sites, based on pyrepo-mcda package(https://pyrepo-mcda.readthedocs.io/)]]></description>
        <about><![CDATA[ImagineSustainability is a QGIS plugin for sustainability assessment in geographic environment. The outputs of ImagineSustainability are both geographic and graphic.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gmassei/ImagineSustainability]]></homepage>
        <file_name>ImagineSustainability.0.9.2.zip</file_name>
        <icon>/media/packages/2026/icon_GKrLDgr.png</icon>
        <author_name><![CDATA[University of Perugia (Developer: Gianluca Massei)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ImagineSustainability/version/0.9.2/download/</download_url>
        <uploaded_by><![CDATA[gianluca]]></uploaded_by>
        <create_date>2023-07-16T14:57:57.375024+00:00</create_date>
        <update_date>2024-09-06T21:49:22.855934+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gmassei/ImagineSustainability/issues]]></tracker>
        <repository><![CDATA[https://github.com/gmassei/ImagineSustainability]]></repository>
        <tags><![CDATA[sustainability,geographic mcda,biodiversity,mcda,natura 2000,vector data]]></tags>
        <downloads>5199</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IDG" version="0.3.4" plugin_id="3049">
        <description><![CDATA[Plugin providing easy access to data from different SDI]]></description>
        <about><![CDATA[Plugin providing easy access to data from different Spatial Data Infrastructures]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/geo2france/idg-qgis-plugin]]></homepage>
        <file_name>idg.0.3.4.zip</file_name>
        <icon>/media/packages/2025/layers-svgrepo-com_hJVhnxZ.svg</icon>
        <author_name><![CDATA[Benjamin CHARTIER, Jean-Baptiste DESBAS, Julie PIERSON]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/idg/version/0.3.4/download/</download_url>
        <uploaded_by><![CDATA[jbdesbas]]></uploaded_by>
        <create_date>2023-07-18T12:29:11.319580+00:00</create_date>
        <update_date>2025-03-06T07:58:04.994572+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geo2france/idg-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/geo2france/idg-qgis-plugin]]></repository>
        <tags><![CDATA[opendata,sdi,géobretagne,datagrandest,géoplateforme,crige,openig,géo2france]]></tags>
        <downloads>9522</downloads>
        <average_vote>4.624421947256593</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="France Commune Cadastre" version="0.1" plugin_id="3057">
        <description><![CDATA[Search for a cadastral parcel with the French cadastre API]]></description>
        <about><![CDATA[Ce module permet de rechercher une parcelle cadastrale ou une commune et de l&#x27;afficher sur la carte. Il utilise l&#x27;API de l&#x27;IGN.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/aroche/commune_cadastre]]></homepage>
        <file_name>commune_cadastre.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_UVBLpeO.png</icon>
        <author_name><![CDATA[Augustin Roche]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/commune_cadastre/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[aroche]]></uploaded_by>
        <create_date>2023-07-25T13:08:35.570211+00:00</create_date>
        <update_date>2023-07-25T13:08:35.812936+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/aroche/commune_cadastre/issues]]></tracker>
        <repository><![CDATA[https://github.com/aroche/commune_cadastre]]></repository>
        <tags><![CDATA[python cadastre parcelle commune]]></tags>
        <downloads>2082</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Opacity Set" version="0.1" plugin_id="3060">
        <description><![CDATA[Sets opacity 0.5, 0.75 or 1 for selected raster layer.]]></description>
        <about><![CDATA[Simple plugin that sets opacity 0.5, 0.75 or 1 for selected raster layer. If no raster layer is selected, it will change opacity for all raster layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MSus4/qgis-plugin-opacity-set/]]></homepage>
        <file_name>opacity_set_01.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_kcv0joc.png</icon>
        <author_name><![CDATA[Matti Susi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/opacity_set_01/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[msus4]]></uploaded_by>
        <create_date>2023-07-27T12:05:20.408300+00:00</create_date>
        <update_date>2023-07-27T12:05:22.380423+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MSus4/qgis-plugin-opacity-set/issues]]></tracker>
        <repository><![CDATA[https://github.com/MSus4/qgis-plugin-opacity-set/]]></repository>
        <tags><![CDATA[transparency,opacity]]></tags>
        <downloads>3284</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BD TOPO® Extractor" version="0.2.0" plugin_id="3061">
        <description><![CDATA[This tool allows you to extract specific data from IGN&#x27;s BD TOPO®. The extraction is based on either an extent drawned by the user on the map canvas or a layer&#x27;s extent.]]></description>
        <about><![CDATA[It allows the user to extract elements from IGN&#x27;s BD TOPO® with an extent or inside a layer as reference.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://julesgrillot.frama.io/plugin_bd_topo_extractor/]]></homepage>
        <file_name>bd_topo_extractor.0.2.0.zip</file_name>
        <icon>/media/packages/2026/default_icon_ptrBNvT.png</icon>
        <author_name><![CDATA[Jules GRILLOT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bd_topo_extractor/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[jgrillot]]></uploaded_by>
        <create_date>2023-07-30T20:42:39.326584+00:00</create_date>
        <update_date>2023-09-22T16:30:10.398055+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://framagit.org/JulesGrillot/plugin_bd_topo_extractor/issues]]></tracker>
        <repository><![CDATA[https://framagit.org/JulesGrillot/plugin_bd_topo_extractor]]></repository>
        <tags><![CDATA[vector,export,wfs,france,ign,ign france,géoplateforme,bdtopo,geoplateforme]]></tags>
        <downloads>20691</downloads>
        <average_vote>4.478066171036041</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Proxy Handler" version="0.1" plugin_id="3065">
        <description><![CDATA[Adds prefix proxy addresses to connections]]></description>
        <about><![CDATA[Adds prefix proxy addresses to connections, will only work with QGIS versions &gt;= 3.22]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/bogind/prefix_proxy]]></homepage>
        <file_name>prefix_proxy.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_qn0YMJY.png</icon>
        <author_name><![CDATA[Dror Bogin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/prefix_proxy/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[bogind]]></uploaded_by>
        <create_date>2023-08-03T07:58:10.165850+00:00</create_date>
        <update_date>2023-08-03T07:58:10.514971+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/bogind/prefix_proxy/issues]]></tracker>
        <repository><![CDATA[https://github.com/bogind/prefix_proxy]]></repository>
        <tags><![CDATA[python,proxy]]></tags>
        <downloads>2506</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Radiation ToolBox Plugin" version="2.0.1" plugin_id="3069">
        <description><![CDATA[Plugin for loading data from Safecast and other radiation monitoring devices]]></description>
        <about><![CDATA[This plugin allows to easily load data from Safecast radiation monitoring devices (LOG file) like bGeigie Nano into QGIS as a new vector point layer. Experimental support for ERS 2.0 format (European Radiometric and Spectrometry format) and some types of PicoEnvirotec PEI files. Developed by OpenGeoLabs s.r.o for National Radiation Protection Institute (SURO), Prague, Czech Republic (SURO).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://opengeolabs.gitlab.io/radiation-toolbox/qgis-radiation-toolbox-plugin/]]></homepage>
        <file_name>radiation_toolbox_plugin.2.0.1.zip</file_name>
        <icon>/media/packages/2025/radiation_toolbox_icon_yXaXr18.png</icon>
        <author_name><![CDATA[OpenGeoLabs s.r.o.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/radiation_toolbox_plugin/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[martinl]]></uploaded_by>
        <create_date>2023-08-07T11:48:37.143212+00:00</create_date>
        <update_date>2025-08-01T14:50:53.262944+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/opengeolabs/radiation-toolbox/qgis-radiation-toolbox-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/opengeolabs/radiation-toolbox/qgis-radiation-toolbox-plugin]]></repository>
        <tags><![CDATA[vector,safecast,radioactivity,radiation,nuclear]]></tags>
        <downloads>3630</downloads>
        <average_vote>3.221864237306966</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Fast Field Filler" version="1.0.2" plugin_id="3071">
        <description><![CDATA[The plugin was created to quickly fill in the fields in the attribute table.]]></description>
        <about><![CDATA[It allows you to specify a layer, a field in its attribute table and fill all selected objects with a preset value.

For example, this plugin may be useful:

1. If you check the results of the neural network by dividing selected objects into two classes: correctly selected objects (True), falsely selected objects (False).
2. If you classify thermal spots detected by remote sensing data and divide all objects into: fires, anthropogenic heat sources, false alarms.

Plugin features:

Set from 1 to 10 preset class values.
Save and load the values you need in a Json format file.
Assign hotkeys (limited choice) to quickly fill the attribute table with the desired values.
Set a limit on the maximum selection of objects ( to avoid accidentally overwriting everything).
Buttons to save results and rollback changes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MrChebur/Fast-Field-Filler]]></homepage>
        <file_name>fast_field_filler.1.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_gskZseg.png</icon>
        <author_name><![CDATA[MrChebur]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/fast_field_filler/version/1.0.2/download/</download_url>
        <uploaded_by><![CDATA[mrchebur]]></uploaded_by>
        <create_date>2023-08-10T05:12:00.317446+00:00</create_date>
        <update_date>2025-04-24T12:45:04.854441+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MrChebur/Fast-Field-Filler/issues]]></tracker>
        <repository><![CDATA[https://github.com/MrChebur/Fast-Field-Filler]]></repository>
        <tags><![CDATA[attribute,table,field,value,fill,quick,fast]]></tags>
        <downloads>1983</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GetBaseLine" version="0.9.2" plugin_id="3072">
        <description><![CDATA[GetBaseLine]]></description>
        <about><![CDATA[It combines parcels that have the same main address number of PNU. It dissolves the same main address number.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lxsurvey/GetBaseLine]]></homepage>
        <file_name>getbaseline.0.9.2.zip</file_name>
        <icon>/media/packages/2023/icon_yyApiF7.png</icon>
        <author_name><![CDATA[LX]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/getbaseline/version/0.9.2/download/</download_url>
        <uploaded_by><![CDATA[lxsurvey]]></uploaded_by>
        <create_date>2023-08-10T07:12:44.166367+00:00</create_date>
        <update_date>2023-08-28T00:41:52.976954+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lxsurvey/GetBaseLine]]></tracker>
        <repository><![CDATA[https://github.com/lxsurvey/GetBaseLine]]></repository>
        <tags><![CDATA[dissolve,union,lx,pnu,continuous cadastral map,sajeongline]]></tags>
        <downloads>7154</downloads>
        <average_vote>3.4991252186953257</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="osm2topomap" version="0.1" plugin_id="3074">
        <description><![CDATA[A plugin intended to intermediate the process of using OSM data for official (authoritative) Topographc Maps, or rather, databases]]></description>
        <about><![CDATA[A plugin intended to intermediate the process of using OSM data for official (authoritative) Topographc Maps, or rather, databases.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LeoScharth/osm2topomap/issues]]></homepage>
        <file_name>osm2topomap.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_CZOzA4h.png</icon>
        <author_name><![CDATA[Leonardo Scharth; Kauê Vestena; Silvana Camboim]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/osm2topomap/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[kauevestena]]></uploaded_by>
        <create_date>2023-08-11T18:44:21.106455+00:00</create_date>
        <update_date>2023-08-11T18:44:21.553951+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LeoScharth/osm2topomap/issues]]></tracker>
        <repository><![CDATA[https://github.com/LeoScharth/osm2topomap]]></repository>
        <tags><![CDATA[openstreetmap,topographic maps,authoritative cartography,official cartography]]></tags>
        <downloads>2408</downloads>
        <average_vote>3.7773580713254087</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGISSPARQL-Layer2Triple" version="0.1" plugin_id="3075">
        <description><![CDATA[Layer2Triple]]></description>
        <about><![CDATA[Provide a brief description of the plugin and its purpose.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://lambdageo.github.io/qgisparql-layer2triple]]></homepage>
        <file_name>qgisparql-layer2triple-main.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_CjvE6cf.png</icon>
        <author_name><![CDATA[Sergio Costa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisparql-layer2triple-main/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[sergiocosta]]></uploaded_by>
        <create_date>2023-08-15T16:30:10.524184+00:00</create_date>
        <update_date>2023-08-15T16:30:11.002414+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LambdaGeo/qgisparql-layer2triple/issues]]></tracker>
        <repository><![CDATA[https://github.com/LambdaGeo/qgisparql-layer2triple]]></repository>
        <tags><![CDATA[wkt,python,linked data,ttl,rdf]]></tags>
        <downloads>923</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FotovolCAT" version="0.2" plugin_id="3077">
        <description><![CDATA[Spatial analysis automation for solar power station sitting in Catalonia]]></description>
        <about><![CDATA[This plugin automates the obtention, processing and visualization of spatial data of relevance for sitting solar power stations in Catalonia.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Lrehues/FotovolCAT]]></homepage>
        <file_name>FotovolCAT-master.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_njdLooC.png</icon>
        <author_name><![CDATA[Lluc Rehues]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FotovolCAT-master/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[lrehues]]></uploaded_by>
        <create_date>2023-08-21T19:41:40.853196+00:00</create_date>
        <update_date>2023-08-21T19:41:41.420705+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Lrehues/FotovolCAT]]></tracker>
        <repository><![CDATA[https://github.com/Lrehues/FotovolCAT]]></repository>
        <tags><![CDATA[python,catalonia,automation,photovoltaics]]></tags>
        <downloads>1018</downloads>
        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GNAVS" version="1.0.4" plugin_id="3079">
        <description><![CDATA[GNSS Navigate and Save]]></description>
        <about><![CDATA[Dieses QGIS-Plugin ermöglicht das Anzeigen deiner aktuellen Position (mithilfe eines internen oder externen GPS-Gerätes) auf der Karte. Bei ausgewählten Zielpunkten wird die Entfernung in Kilometer, Meter und Zentimeter sowie Winkel in wahlweise Grad, Gon oder Radiant angezeigt. Die Luftlinie zwischen deiner aktuellen Position und dem Zielpunkt wird auf der Karte visualisiert. Ist die Zielposition erreicht, können Punkte &quot;eingemessen&quot; werden. Hierfür werden solange DAten erhoben, bis die gewünsche Qualität erreicht wird. In den Einstellungen des Plugins können Anforderungen an die Genauigkeit der Positionsbestimmung festgelegt werden. Bei erreichter Qualität können die Daten in einem GeoPackage gespeichert werden. Hierfür wird ein Layer angelegt. Die Daten können anschließend in QGIS oder anderen Anwendungen weiterverarbeitet werden.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/b-lack/qgis-gnavs-plugin]]></homepage>
        <file_name>gnavs.1.0.4.zip</file_name>
        <icon>/media/packages/2023/icon_ThrTV60.png</icon>
        <author_name><![CDATA[Torsten Wiebke (Concept), Gerrit Balindt (Development)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gnavs/version/1.0.4/download/</download_url>
        <uploaded_by><![CDATA[gruenecho]]></uploaded_by>
        <create_date>2023-08-25T14:44:58.490754+00:00</create_date>
        <update_date>2023-08-25T14:44:58.782423+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/b-lack/qgis-gnavs-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/b-lack/qgis-gnavs-plugin]]></repository>
        <tags><![CDATA[point,location,navigation,recording]]></tags>
        <downloads>7097</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Land Use Analyzer" version="0.1" plugin_id="3081">
        <description><![CDATA[A plugin for Land Use spatial analysis tools]]></description>
        <about><![CDATA[A plugin for Land Use spatial analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/kowalski93/Land_Use_Analyzer/tree/main/]]></homepage>
        <file_name>land_use_analyzer_local.0.1.zip</file_name>
        <icon>/media/packages/2023/logo_ewePq9d.png</icon>
        <author_name><![CDATA[Alexandros Voukenas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/land_use_analyzer_local/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[voukenas]]></uploaded_by>
        <create_date>2023-08-27T15:01:48.516052+00:00</create_date>
        <update_date>2023-08-27T15:01:50.322479+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kowalski93/Land_Use_Analyzer/issues]]></tracker>
        <repository><![CDATA[https://github.com/kowalski93/Land_Use_Analyzer/tree/main/]]></repository>
        <tags><![CDATA[python,zonal statistics,land use,entropy]]></tags>
        <downloads>2134</downloads>
        <average_vote>4.642525533890437</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenHLZ" version="1.0" plugin_id="3086">
        <description><![CDATA[An open source HLZ identification processing plugin]]></description>
        <about><![CDATA[This plugin provides basic functionality to identify possible helicopter landing zones (HLZs).  Based on a point of interest (POI) or area of interest (AOI) defined by the user, this plugin will analyze slope and land cover data to determine possible locations to land a helicopter.  These sites are selected on land cover suitability and user-defined criteria, to include touchdown point (TDP) size and slope caution/limit thresholds (see README on GitHub for a more detailed explaination of methodology). A key feature of this tool is that it will automatically download the required data for analysis, so an internet connection is required to use it.

WARNING: The possible HLZ locations identified by this plugin are for research purposes only.  The results of this plugin have not been evaluated for accuracy and should not be relied upon as the sole means for determining where to land an aircraft.  It is ultimately the responsibility of the pilot-in-command to determine the suitability of any location prior to landing their aircraft.  The developer of this plugin is not liable for ANY damage to equipment, bodily injury, or loss of life associated with its use.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/CustomCartographix/OpenHLZ]]></homepage>
        <file_name>openhlz.1.0.zip</file_name>
        <icon>/media/packages/2026/heli_icon.png</icon>
        <author_name><![CDATA[CustomCartographix]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/openhlz/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[jojohn246]]></uploaded_by>
        <create_date>2023-09-02T23:56:42.183524+00:00</create_date>
        <update_date>2023-09-02T23:56:42.679713+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/CustomCartographix/OpenHLZ/issues]]></tracker>
        <repository><![CDATA[https://github.com/CustomCartographix/OpenHLZ]]></repository>
        <tags><![CDATA[python,dem,slope,land cover,elevation,processing,army,qgis,intelligence,military,aviation,helicopters,open-source,lulc,terrain analysis]]></tags>
        <downloads>1675</downloads>
        <average_vote>4.7488127968008</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="StereoPhoto" version="0.1.3" plugin_id="3090">
        <description><![CDATA[Logiciel de photo-interprétation qui permet la visualisation d&#x27;images avec un système d&#x27;écran stéréoscopique - Photo-interpretation pluggin for stereoscopic visualization]]></description>
        <about><![CDATA[FR: Cette extension permet d&#x27;utiliser un dossier de photos aériennes (.TIF) pour les visualiser en stéréoscopie avec le système d&#x27;écran approprié. Le dossier doit aussi contenir les fichiers d&#x27;orientation (.PAR) associés à chaque photo. L&#x27;affichage et l&#x27;édition de différentes couches vectorielles sont disponibles dans l&#x27;application. Il est aussi possible d&#x27;ajouter un modèle numérique de terrain pour permettre aux couches vectorielles d&#x27;être positionnées correctement en stéréoscopie. L&#x27;application fonctionne sans carte graphique stéréoscopique.

EN : This extension allows the use of a folder of aerial photos (.TIF) for stereoscopic visualization using the appropriate display system. The folder must also contain the orientation files (.PAR) associated with each photo. The display and editing of various vector layers are available in the application. It is also possible to add a digital terrain model to allow the vector layers to be positioned correctly in stereoscopy. The application functions without a stereoscopic graphics card.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Direction-des-inventaires-forestiers/StereoPhoto]]></homepage>
        <file_name>StereoPhoto.0.1.3.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Frédérick Pineault]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/StereoPhoto/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[frpin33]]></uploaded_by>
        <create_date>2023-09-06T15:29:52.713516+00:00</create_date>
        <update_date>2025-01-24T19:46:50.893545+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Direction-des-inventaires-forestiers/StereoPhoto/issues]]></tracker>
        <repository><![CDATA[https://github.com/Direction-des-inventaires-forestiers/StereoPhoto]]></repository>
        <tags><![CDATA[3d,photo-interpretation,stereoscopy,stereoimaging,aerial photography]]></tags>
        <downloads>4652</downloads>
        <average_vote>4.416298641779852</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Panoramax" version="0.3.1" plugin_id="3092">
        <description><![CDATA[Display your immersive views hosted on a Panoramax instance.]]></description>
        <about><![CDATA[Tools related to Panoramax project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://panoramax.gitlab.io/clients/qgis-plugin/]]></homepage>
        <file_name>panoramax.0.3.1.zip</file_name>
        <icon>/media/packages/2025/logo_panoramax_qgis_6iJ4Kg4.png</icon>
        <author_name><![CDATA[Julien Moura]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/panoramax/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[panoramax]]></uploaded_by>
        <create_date>2023-09-11T09:36:40.494197+00:00</create_date>
        <update_date>2025-09-15T16:56:54.568343+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/panoramax/clients/qgis-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/panoramax/clients/qgis-plugin/]]></repository>
        <tags><![CDATA[street view,mapillary,panoramax,geovisio,immersive]]></tags>
        <downloads>4045</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Time Editor" version="0.5.1" plugin_id="3097">
        <description><![CDATA[Used to facilitate the editing of features with lifespan information]]></description>
        <about><![CDATA[This Plugin aims to facilitate working with time dependent vector data. Assuming you have geodata with a life span as an attribute. Features are automatic duplication and editing, filtering and more]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://wms.hlgl.uni-marburg.de/docs/time-editor/docs/tutorial-basics/installation]]></homepage>
        <file_name>time-editor.0.5.1.zip</file_name>
        <icon>/media/packages/2023/icon_3KZWIlQ.png</icon>
        <author_name><![CDATA[Niklas Alt]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/time-editor/version/0.5.1/download/</download_url>
        <uploaded_by><![CDATA[hilmr]]></uploaded_by>
        <create_date>2023-09-13T16:46:50.659159+00:00</create_date>
        <update_date>2023-11-23T12:28:37.581619+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hil-mr/time-editor/issues]]></tracker>
        <repository><![CDATA[https://github.com/hil-mr/time-editor]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3606</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="digitizer" version="1.0" plugin_id="3104">
        <description><![CDATA[Digitizing old Plans]]></description>
        <about><![CDATA[This plugin was created to join the digitized detail and attribute information more advance plugins ae on the test]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wearemafaz/digitizer_plugin]]></homepage>
        <file_name>digitizer.1.0.zip</file_name>
        <icon>/media/packages/2023/icon_9LLNFMU.png</icon>
        <author_name><![CDATA[M.F.M. Mafaz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/digitizer/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mafaz]]></uploaded_by>
        <create_date>2023-09-21T14:41:34.275993+00:00</create_date>
        <update_date>2023-09-27T09:55:08.234835+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wearemafaz/digitizer_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/wearemafaz/digitizer_plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>9409</downloads>
        <average_vote>3.8996100389961006</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="S+HydPower" version="1.0" plugin_id="3108">
        <description><![CDATA[Plugin designed to estimate hydropower generation.]]></description>
        <about><![CDATA[The S+HydPower QGIS Plugin is a powerful tool designed to estimate hydropower generation and evaluate the socioeconomic impact of watershed management measures. It accomplishes this by utilizing hydrological SWAT+ simulated outputs, which serve as the foundation for estimating hydropower generation and the associated impacts. Additionally, the plugin allows users to explore various scenarios based on the functioning and characteristics of the hydropower system. This plugin uses an icon designed by Freepick from flaticon (https://www.flaticon.com/free-icons/hydro-power).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/icra/SPlusHydPower]]></homepage>
        <file_name>SPlusHydPower.1.0.zip</file_name>
        <icon>/media/packages/2023/hydro-power_VeMnOjk.png</icon>
        <author_name><![CDATA[ICRA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SPlusHydPower/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[oliu]]></uploaded_by>
        <create_date>2023-09-22T08:31:39.506738+00:00</create_date>
        <update_date>2023-10-19T17:03:40.856662+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/icra/SPlusHydPower/issues]]></tracker>
        <repository><![CDATA[https://github.com/icra/SPlusHydPower]]></repository>
        <tags><![CDATA[python,climate change,environmental flow,hydropower,environmental assessment,swat+,run-of-river]]></tags>
        <downloads>2011</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kadastr.Live Toolbar" version="0.9.4.0" plugin_id="3110">
        <description><![CDATA[Інтеграція деяких можливостей ресурсу Kadastr.Live в QGIS.]]></description>
        <about><![CDATA[Плагін для спрощення роботи з ресурсом Kadastr.Live в QGIS.

ЗВЕРНІТЬ УВАГУ!!! Ресурс Kadastr.Live поширює тільки архівні дані за почаок 2023р. Геометрія та положення ділянок приблизні, а атрибути можуть не співпадати з такими в ДЗК. Використовуйте інформацію тільки в ознайомчих цілях!

Плагін дозволяє:
- легко додавати основні шари з ресурсу Kadastr.Live в проект
- шукати ділянку на карті Kadastr.Live за кадастровим номером(також доступний пакетний пошук)
- завантажувати ділянки в межах екрану на тимчасовий шар
З додаткового:
- перегляд данних про ділянку на ресурсах Kadastr.Live та Land.gov.ua, а також перевірка площі ділянки за відомостями з ресурсу Kadastr.Live.

Плагін розроблено в рамках проекту &quot;Відкриті інструменти просторового планування для України&quot;.
Шукайте нас в JD Help чаті в Telegram: https://t.me/+eq7gtxjTXYBjZmUy]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/brych92/KL_Tools_bar]]></homepage>
        <file_name>KL_Search_bar.0.9.4.0.zip</file_name>
        <icon>/media/packages/2025/icon_peau1FS.png</icon>
        <author_name><![CDATA[Стьопа]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/KL_Search_bar/version/0.9.4.0/download/</download_url>
        <uploaded_by><![CDATA[brych92]]></uploaded_by>
        <create_date>2023-09-23T16:36:03.419933+00:00</create_date>
        <update_date>2025-07-13T19:55:05.530677+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/brych92/KL_Tools_bar/issues]]></tracker>
        <repository><![CDATA[https://github.com/brych92/KL_Tools_bar]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>11848</downloads>
        <average_vote>4.60592103269598</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Animation Workbench" version="1.1" plugin_id="3124">
        <description><![CDATA[A plugin to let you build animations in QGIS]]></description>
        <about><![CDATA[QGIS Animation Bench exists because we wanted to use all the awesome cartography features in QGIS and make cool, animated maps! QGIS already includes the Temporal Manager which allows you to produce animations for time-based data. But what if you want to make animations where you travel around the map, zooming in and out, and perhaps making features on the map wiggle and jiggle as the animation progresses? That is what the animation workbench tries to solve...]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://timlinux.github.io/QGISAnimationWorkbench/]]></homepage>
        <file_name>animation_workbench.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_J6LtMmf.png</icon>
        <author_name><![CDATA[Tim Sutton, Nyall Dawson, Jeremy Prior]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/animation_workbench/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[timlinux]]></uploaded_by>
        <create_date>2023-10-07T23:38:59.551276+00:00</create_date>
        <update_date>2023-10-07T23:38:59.871002+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/timlinux/QGISAnimationWorkbench/issues]]></tracker>
        <repository><![CDATA[https://github.com/timlinux/QGISAnimationWorkbench]]></repository>
        <tags><![CDATA[animation,video,cartography,visualization,temporal]]></tags>
        <downloads>5196</downloads>
        <average_vote>3.66625930452172</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LANDFILL SITE SELECTION" version="0.1" plugin_id="3129">
        <description><![CDATA[LANDFILL SITE SELECTION]]></description>
        <about><![CDATA[Designed to perform land fill site selection analysis using Weighted lineer combination (WLC).

Environmental Monitoring and Assessment volume 195, Article number: 1290 (2023)

&quot;QGIS-based weighted linear combination plugin for landfill site selection: a case study in Tokat Province, Turkey&quot;

Emre Yılmaz &amp; Süleyman Sefa Bilgilioğlu

https://doi.org/10.1007/s10661-023-11929-9]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mreylmzz/LandFill_Site_Selection_Plugin]]></homepage>
        <file_name>landfill_site_selection.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Emre Yılmaz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/landfill_site_selection/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[12345678910]]></uploaded_by>
        <create_date>2023-10-09T06:55:03.307130+00:00</create_date>
        <update_date>2023-10-09T06:55:03.415442+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mreylmzz/LandFill_Site_Selection_Plugin]]></tracker>
        <repository><![CDATA[https://github.com/mreylmzz/LandFill_Site_Selection_Plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1025</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Soft Queries" version="0.2.0" plugin_id="3139">
        <description><![CDATA[This plugin brings tools that allow processing of data using fuzzy set theory and possibility theory.]]></description>
        <about><![CDATA[This plugin brings tools that allow processing of data using fuzzy set theory and possibility theory. Functions are provided as processing tools (mostly for raster data) and as Expressions (mostly for vector data).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JanCaha/qgis-plugin-soft-queries]]></homepage>
        <file_name>soft_queries.0.2.0.zip</file_name>
        <icon>/media/packages/2023/soft_queries.png</icon>
        <author_name><![CDATA[Jan Caha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/soft_queries/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[cahik]]></uploaded_by>
        <create_date>2023-10-16T09:25:18.780959+00:00</create_date>
        <update_date>2023-10-16T09:26:43.389696+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JanCaha/qgis-plugin-soft-queries/issues]]></tracker>
        <repository><![CDATA[https://github.com/JanCaha/qgis-plugin-soft-queries]]></repository>
        <tags><![CDATA[vector,raster,fuzzy,soft]]></tags>
        <downloads>1349</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Save Attributes (Processing)" version="0.1" plugin_id="3155">
        <description><![CDATA[This plugin adds an algorithm to save attributes of selected layer as a CSV file]]></description>
        <about><![CDATA[This plugin adds an algorithm to save attributes of selected layer as a CSV file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GeoHey-Team/qgis-geohey-toolbox]]></homepage>
        <file_name>save_attributes_processing.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Geohey]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/save_attributes_processing/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jianqing]]></uploaded_by>
        <create_date>2023-10-26T03:00:26.207731+00:00</create_date>
        <update_date>2023-10-26T03:00:27.848231+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoHey-Team/qgis-geohey-toolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/GeoHey-Team/qgis-geohey-toolbox]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1318</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PV Prospector" version="0.4" plugin_id="3158">
        <description><![CDATA[Displays the PV installation potential for residential properties. The pv_area layer is derived from 1m LIDAR DSM, OSMM building outlines and LLPG data.]]></description>
        <about><![CDATA[Search results for Postcodes, displays the PV installation potential for residential rooftops. Searching for a postcode in a pv_area layer, derived from 1m LIDAR, osmm building outlines and LLPG data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/peterfrancon/PV-Prospector]]></homepage>
        <file_name>pv_prospector.0.4.zip</file_name>
        <icon>/media/packages/2023/icon_DhjCG2s.png</icon>
        <author_name><![CDATA[Peter Francon]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pv_prospector/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[peterfrancon]]></uploaded_by>
        <create_date>2023-10-26T17:12:10.403811+00:00</create_date>
        <update_date>2023-11-10T20:16:54.575161+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/peterfrancon/PV-Prospector/issues]]></tracker>
        <repository><![CDATA[http://github.com/peterfrancon/PV-Prospector]]></repository>
        <tags><![CDATA[python,address,qgis3,local government,llpg,prospector,uprn,solar pv]]></tags>
        <downloads>3379</downloads>
        <average_vote>3.3996600339966005</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Avenza Maps&#x27;s KML/KMZ File Importer" version="1.3" plugin_id="3160">
        <description><![CDATA[This plugin import features from KML e KMZ files from Avenza Maps.]]></description>
        <about><![CDATA[&lt;style&gt;p.warn {text-align: center;color: red}&lt;/style&gt;&lt;p&gt;When we import KML/KMZ files into QGIS, the symbology of the features they carry is not preserved.&lt;/p&gt;&lt;p&gt;Icons, colors, thicknesses, opacities, etc., which may have been used, during the creation of each feature, to visually communicate some important characteristic of it, end up unused because the symbology is not preserved.&lt;/p&gt;&lt;p&gt;With this plugin, all features are grouped within the layers created in Avenza and, within each layer, separate groups are created by geometry type (Point, Line and Polygon) and, within the geometry, they are categorized by their style characteristics symbology, visually facilitating geographic analysis.&lt;/p&gt;&lt;p&gt;Point features are imported using the same icons available in the &lt;a href=&quot;https://store.avenza.com/&quot;&gt;Avenza Maps App&lt;/a&gt;.&lt;/p&gt;&lt;p&gt;The Tracks&#x27;s features that were created in Avenza will be added to QGIS in two geometry groups: &lt;b&gt;Line&lt;/b&gt; and &lt;b&gt;Point&lt;/b&gt;. The points layer contains all the data for each point on that track in its attribute table: &lt;i&gt;speed, when, angles, horizontal_accuracy,&lt;/i&gt; etc. And it uses a &quot;Target&quot; as an icon.&lt;/p&gt;&lt;p class=&quot;warn&quot;&gt;&lt;b&gt;WARNING:&lt;/b&gt; This plugin was specifically developed to import KML and KMZ files &lt;mark&gt;exported by Avenza&lt;/mark&gt;. &lt;ins&gt;It probably won&#x27;t work with other KML/KMZ files created by other applications!&lt;/ins&gt;&lt;/p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lakto69/avenza_kmz_importer]]></homepage>
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        <icon>/media/packages/2026/icon_WybGLl0.ico</icon>
        <author_name><![CDATA[Andrés de M. Leite]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/avenza_kmz_importer/version/1.3/download/</download_url>
        <uploaded_by><![CDATA[lakto69]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lakto69/avenza_kmz_importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/lakto69/avenza_kmz_importer]]></repository>
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        <downloads>5198</downloads>
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        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="D4C Plugin" version="2.0.3" plugin_id="3161">
        <description><![CDATA[Using Data4Citizen API to manipulate CKAN data]]></description>
        <about><![CDATA[Using D4C API to manipulate CKAN data]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2024/icon_nqNrlj9.png</icon>
        <author_name><![CDATA[MSE @ BPM-conseil]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/d4c_api/version/2.0.3/download/</download_url>
        <uploaded_by><![CDATA[patrickb]]></uploaded_by>
        <create_date>2023-10-29T09:12:02.599981+00:00</create_date>
        <update_date>2024-06-25T08:49:01.902940+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.bpm-conseil.com/data4citizen/qgis-d4c]]></tracker>
        <repository><![CDATA[https://gitlab.bpm-conseil.com/data4citizen/qgis-d4c]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4917</downloads>
        <average_vote>4.764425622022234</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PyGeoRS" version="0.1" plugin_id="3162">
        <description><![CDATA[PyGeoRS is a dynamic QGIS plugin designed to streamline and enhance your remote sensing workflow within the QGIS environment.]]></description>
        <about><![CDATA[With PyGeoRS, users can effortlessly automate an array of remote sensing operations, both basic and advanced, without getting entangled in the intricacies of multiple software utilities]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/AnassMarzouki/PyGeoRS]]></homepage>
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        <icon>/media/packages/2024/icon_2IsNxHm.png</icon>
        <author_name><![CDATA[Dr. Anass MARZOUKI, Pr. Abdallah DRIDRI]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pygeors/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[anassmarzouki]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/AnassMarzouki/PyGeoRS/issues]]></tracker>
        <repository><![CDATA[https://github.com/AnassMarzouki/PyGeoRS]]></repository>
        <tags><![CDATA[python,remote sensing,automation,digital image processing]]></tags>
        <downloads>4693</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CoolParksTool" version="0.0.3" plugin_id="3164">
        <description><![CDATA[This plugin evaluates the cooling effect of a park and its impact on buildings energy and thermal comfort]]></description>
        <about><![CDATA[This plugin summarizes the results of the research project called CoolParks. The user provides park boundaries, type of ground within the park, type of canopy within the park and meteorological conditions. As output the cooling effect of the park on its surrounding built-up area is calculated as well as its impact on building energy consumption and building indoor thermal comfort]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/j3r3m1/coolparkstool#readme]]></homepage>
        <file_name>coolparkstool.0.0.3.zip</file_name>
        <icon>/media/packages/2023/CoolParksTool_Mg3XXoX.png</icon>
        <author_name><![CDATA[Jeremy Bernard]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/coolparkstool/version/0.0.3/download/</download_url>
        <uploaded_by><![CDATA[j3r3m1]]></uploaded_by>
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        <update_date>2023-11-13T10:09:49.612148+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/j3r3m1/coolparkstool/issues]]></tracker>
        <repository><![CDATA[https://github.com/j3r3m1/coolparkstool]]></repository>
        <tags><![CDATA[modelling,urban planning,urban climate,urban geometry,urban morphology,cooling,parks]]></tags>
        <downloads>2293</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ViewDrone" version="0.1" plugin_id="3172">
        <description><![CDATA[A QGIS plugin for viewshed analysis in drone mission planning]]></description>
        <about><![CDATA[The purpose of this plugin is to provide the user with a comprehensive viewshed analysis to aid in drone mission planning. The user provides a DSM and a polygon of the desired area, as well as the target height, observer height and range, the plugin will then provide a visibility map. A comprehensive guide to the plugin is available in the Github repository. The plugin was developed as a collaborative project between the Technical University of Denmark (DTU) and the Mapping and GIS department at Niras.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/H-W-LANGE/view_drone]]></homepage>
        <file_name>view_drone.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_z5QpSNr.png</icon>
        <author_name><![CDATA[Helena Walther Lange]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/view_drone/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[hwlange]]></uploaded_by>
        <create_date>2023-11-02T11:41:27.591456+00:00</create_date>
        <update_date>2023-11-02T11:41:27.909242+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/H-W-LANGE/view_drone/issues]]></tracker>
        <repository><![CDATA[https://github.com/H-W-LANGE/view_drone]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>7076</downloads>
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        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Risk Assessment" version="0.1.7" plugin_id="3173">
        <description><![CDATA[Risk assessment calculation for forecast based financing]]></description>
        <about><![CDATA[For Forecast based Financing projects we have developed a workflow to conduct risk assessment. It is designed such that people on the ground can update and conduct their risk assessment independently. The methodology is based on the Word Risk Index and is inspired by the INFORM Risk framework. Note, that this is an experimental version released for internal testing purposes only. If you find any bugs or encounter problems, feel free to mail us.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.gistools.geog.uni-heidelberg.de/giscience/disaster-tools/fbf-sudan]]></homepage>
        <file_name>risk_assessment.0.1.7.zip</file_name>
        <icon>/media/packages/2025/icon_riskassessment.png</icon>
        <author_name><![CDATA[HeiGIT gGmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/risk_assessment/version/0.1.7/download/</download_url>
        <uploaded_by><![CDATA[heigit]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.gistools.geog.uni-heidelberg.de/giscience/disaster-tools/fbf-sudan]]></tracker>
        <repository><![CDATA[https://gitlab.gistools.geog.uni-heidelberg.de/giscience/disaster-tools/fbf-sudan]]></repository>
        <tags><![CDATA[python,fbf,risk_assessment]]></tags>
        <downloads>4241</downloads>
        <average_vote>0.0</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KICa - KAN Imagery Catalog" version="0.1.6" plugin_id="3174">
        <description><![CDATA[KICa, is QGIS plugin Kan Imagery Catalog, developed by Kan Territory &amp; IT
to consult availability of images in an area in an agnostic way,
having as main objective to solve the need and not to focus on suppliers.
In the beginning, satellite imagery providers (free and commercial) are incorporated,
but it is planned to incorporate drone imagery among others.]]></description>
        <about><![CDATA[KICa - QGIS Kan Imagery Catalog Plugin, developed to query the availability of imagery
in an area in an agnostic way, focused on geospatial analysis.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://kan-t-it.github.io/QGIS-KICa-Doc/]]></homepage>
        <file_name>kan_imagery_catalog.0.1.6.zip</file_name>
        <icon>/media/packages/2025/icon_otnoNM3.png</icon>
        <author_name><![CDATA[KAN Territory &amp; IT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kan_imagery_catalog/version/0.1.6/download/</download_url>
        <uploaded_by><![CDATA[aanthieni]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kan-T-IT/QGIS-KICa/issues]]></tracker>
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        <downloads>7105</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Show Random Changelog Entry on Launch" version="1.1" plugin_id="3176">
        <description><![CDATA[Shows a random entry in the QGIS version&#x27;s visual changelog upon QGIS launch]]></description>
        <about><![CDATA[Shows a random entry in the QGIS version&#x27;s visual changelog upon QGIS launch (surprisingly; with slight delay, because loading the page takes a while...).]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2023/icon_t4vKHYr.svg</icon>
        <author_name><![CDATA[Johannes Kröger (WhereGroup GmbH)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/show-random-changelog-entry/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[jkroegerwg]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kannes/show-random-changelog-entry/issues]]></tracker>
        <repository><![CDATA[https://github.com/kannes/show-random-changelog-entry]]></repository>
        <tags><![CDATA[python,qgis]]></tags>
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    </pyqgis_plugin><pyqgis_plugin name="Social Burden Calculator" version="1.1" plugin_id="3177">
        <description><![CDATA[This plugin calculates social burden]]></description>
        <about><![CDATA[The social burden metric quantifies the burden a population experiences when attaining services needed from critical infrastructure. The burden metric is calculated using information about service-providing facilities, the services they provide and the levels at which they provide them, and their location relative to the people they serve. The burden calculation models these factors as services, facilities, and population blocks. The QGIS Social Burden Calculator Plugin calculates total, per-service, and per-population group social burden scores and provides the outputs in shapefile and tabular formats for visualizing, mapping, analyzing, and post-processing.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/sandialabs/QGIS-social-burden-plugin]]></homepage>
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        <icon>/media/packages/2024/icon_cgPbwvV.png</icon>
        <author_name><![CDATA[Olga E Hart]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGIS-social-burden-plugin-main/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[ermoog]]></uploaded_by>
        <create_date>2023-11-03T20:03:57.872044+00:00</create_date>
        <update_date>2024-03-13T20:27:18.993728+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sandialabs/QGIS-social-burden-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/sandialabs/QGIS-social-burden-plugin]]></repository>
        <tags><![CDATA[social burden,disaster planning,infrastructure access,energy equity]]></tags>
        <downloads>954</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ohsomeTools" version="0.3" plugin_id="3178">
        <description><![CDATA[ohsome API, spatial and temporal OSM requests for QGIS]]></description>
        <about><![CDATA[ohsomeTools provides access to the ohsome API.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GIScience/ohsome-qgis-plugin/wiki]]></homepage>
        <file_name>ohsomeTools.0.3.zip</file_name>
        <icon>/media/packages/2023/icon_ohsome.png</icon>
        <author_name><![CDATA[HeiGIT gGmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ohsomeTools/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[heigit]]></uploaded_by>
        <create_date>2023-11-06T16:13:08.195956+00:00</create_date>
        <update_date>2023-11-06T16:13:09.844138+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GIScience/ohsome-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GIScience/ohsome-qgis-plugin.git]]></repository>
        <tags><![CDATA[openstreetmap,osm,processing,temporal,hex,ohsome]]></tags>
        <downloads>1367</downloads>
        <average_vote>3.6660556573904346</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Postcode Finder" version="0.1" plugin_id="3187">
        <description><![CDATA[The plugin prompts the user to select the LLPG data layer from the Layers Panel and enter a postcode. The plugin  will search for the postcode, if found, the canvas will zoom to all the LLPG points in the postcode.]]></description>
        <about><![CDATA[The plugin prompts the user to select the data layer from the Layers Panel. Type in a postcode, the plugin will search for the postcode, if found, the canvas will zoom to all the LLPG points in the postcode. A Postcode can be entered in any case but requires a space in the middle e.g. Mk4 7nn. If a Postcode is found, the canvas will zoom to all corresponding UPRN&#x27;s within the Postcode. A list of UPRN&#x27;s within the postcode will display in the plugin dialog box. Double-clicking a UPRN will zoom the canvas to the chosen UPRN.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/peterfrancon/Postcode-Finder]]></homepage>
        <file_name>postcode_finder.0.1.zip</file_name>
        <icon>/media/packages/2023/icon_h0LpQ1d.png</icon>
        <author_name><![CDATA[Peter Francon]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/postcode_finder/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[peterfrancon]]></uploaded_by>
        <create_date>2023-11-12T18:36:37.050747+00:00</create_date>
        <update_date>2023-11-12T18:36:37.394836+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/peterfrancon/Postcode-Finder]]></tracker>
        <repository><![CDATA[http://github.com/peterfrancon/Postcode-Finder]]></repository>
        <tags><![CDATA[python,search,address,qgis3,local government,llpg,uprn]]></tags>
        <downloads>1600</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Drainage" version="0.1.6" plugin_id="3189">
        <description><![CDATA[the hydro DEM analysis with the TauDEM]]></description>
        <about><![CDATA[Drainage is a plugin for the hydro DEM analysis with the TauDEM. It can produce the No-sink-DEM, FD(Flow Direction , D8), FA(Flow Accumulation), Stream and watershed.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/floodmodel/Plugin_repository_QGIS3.10]]></homepage>
        <file_name>drainage.0.1.6.zip</file_name>
        <icon>/media/packages/2025/icon_LCGrigN.png</icon>
        <author_name><![CDATA[KICT, Hermesys]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/drainage/version/0.1.6/download/</download_url>
        <uploaded_by><![CDATA[sukmin28]]></uploaded_by>
        <create_date>2023-11-13T01:02:04.384955+00:00</create_date>
        <update_date>2023-11-14T23:58:04.536539+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/floodmodel/Plugin_repository_QGIS3.10/issues]]></tracker>
        <repository><![CDATA[https://github.com/floodmodel/Plugin_repository_QGIS3.10.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>17790</downloads>
        <average_vote>3.7574618950940883</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QDuckDB" version="0.8.1" plugin_id="3192">
        <description><![CDATA[This plugin adds a new data provider that can read DuckDB databases and display their tables as a layer in QGIS.]]></description>
        <about><![CDATA[Plugin for using DuckDB databases in QGIS.&lt;br/&gt;
If you&#x27;re running on Windows, this plugin comes with the necessary version of
duckdb, so you don&#x27;t have to install by yourself. Two things you may know:
- it&#x27;s neither more nor less than the same version you could have installed with a &#x27;pip install&#x27; (but we know how complicated that is in the Python environment of QGIS on Windows)
- the library is installed in a subdirectory of the plugin, which means that it is only activated when the plugin itself is activated.
You can get &lt;a href=&quot;https://oslandia.gitlab.io/qgis/qduckdb/usage/installation.html#windows-embedded-package&quot;&gt;more information in the documentation&lt;/a&gt;.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.6</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/qduckdb]]></homepage>
        <file_name>qduckdb.0.8.1.zip</file_name>
        <icon>/media/packages/2026/logo_duckdb.png</icon>
        <author_name><![CDATA[Florent Fougeres (Oslandia), Jean Felder (Oslandia), Julien Moura (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qduckdb/version/0.8.1/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2023-11-17T14:58:56.356188+00:00</create_date>
        <update_date>2024-06-12T15:00:23.890160+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/qduckdb/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/qduckdb]]></repository>
        <tags><![CDATA[sql,database,duckdb,parquet,overture,insee-fr]]></tags>
        <downloads>31059</downloads>
        <average_vote>4.540417826545228</average_vote>
        <rating_votes>37</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QWC Tools" version="0.6.2" plugin_id="3195">
        <description><![CDATA[QGIS plug-in designed to publish and manage the publication of projects in a QGIS Web Client (QWC) instance. The plugin allows you to publish projects, delete projects and view the list of published projects.]]></description>
        <about><![CDATA[QGIS plugin for publishing and managing projects in a QGIS Web Client (QWC) instance.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/qwc_tools_plugin_for_qgis_desktop]]></homepage>
        <file_name>qwc2_tools.0.6.2.zip</file_name>
        <icon>/media/packages/2026/default_icon_te60m35.png</icon>
        <author_name><![CDATA[Florent FOUGERES (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qwc2_tools/version/0.6.2/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2023-11-21T13:56:30.318943+00:00</create_date>
        <update_date>2024-02-23T15:53:33.856892+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/qwc_tools_plugin_for_qgis_desktop/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/qwc_tools_plugin_for_qgis_desktop]]></repository>
        <tags><![CDATA[webgis,publishing,qgis-web-client,qwc,web client,qgis web client,web mapping]]></tags>
        <downloads>13886</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UA CRS Magic" version="0.2.1" plugin_id="3197">
        <description><![CDATA[Підбір системи кординат для векторного шару]]></description>
        <about><![CDATA[Плагін підбирає систему координат при якій центр всіх об&#x27;єктів буди найближче до місця кліку.
Для того аби скористатися плагіном:
- Виберіть шари
- Натисніть іконку плагіну
- Натисніть на карті на приблизне місце розташування об&#x27;єктів(хоча б з точністю до області, але точніше - краще)
Плагін автоматично змінить системм кординат та виведе повідомлення про інші можливі СК

Плагін розроблено в рамках проекту &quot;Відкриті інструменти просторового планування для України&quot;.

Включені СК:
WGS 84
&#x27;EPSG:3857&#x27;, &#x27;EPSG:4326&#x27;,
&#x27;EPSG:5562&#x27;, &#x27;EPSG:5563&#x27;, &#x27;EPSG:5564&#x27;, &#x27;EPSG:5565&#x27;, &#x27;EPSG:5566&#x27;, &#x27;EPSG:5567&#x27;, &#x27;EPSG:5568&#x27;, &#x27;EPSG:5569&#x27;,
&#x27;EPSG:5576&#x27;, &#x27;EPSG:5577&#x27;, &#x27;EPSG:5578&#x27;, &#x27;EPSG:5579&#x27;, &#x27;EPSG:5580&#x27;, &#x27;EPSG:5581&#x27;, &#x27;EPSG:5582&#x27;, &#x27;EPSG:5583&#x27;,
&#x27;EPSG:6381&#x27;, &#x27;EPSG:6382&#x27;, &#x27;EPSG:6383&#x27;, &#x27;EPSG:6384&#x27;, &#x27;EPSG:6385&#x27;, &#x27;EPSG:6386&#x27;, &#x27;EPSG:6387&#x27;,
&#x27;EPSG:5558&#x27;,
&#x27;EPSG:5560&#x27;, &#x27;EPSG:5561&#x27;,
&#x27;EPSG:9821&#x27;, &#x27;EPSG:9831&#x27;, &#x27;EPSG:9832&#x27;, &#x27;EPSG:9833&#x27;, &#x27;EPSG:9834&#x27;,
&#x27;EPSG:9835&#x27;, &#x27;EPSG:9836&#x27;, &#x27;EPSG:9837&#x27;, &#x27;EPSG:9838&#x27;, &#x27;EPSG:9839&#x27;,
&#x27;EPSG:9840&#x27;, &#x27;EPSG:9841&#x27;, &#x27;EPSG:9842&#x27;, &#x27;EPSG:9843&#x27;, &#x27;EPSG:9851&#x27;,
&#x27;EPSG:9852&#x27;, &#x27;EPSG:9853&#x27;, &#x27;EPSG:9854&#x27;, &#x27;EPSG:9855&#x27;, &#x27;EPSG:9856&#x27;,
&#x27;EPSG:9857&#x27;, &#x27;EPSG:9858&#x27;, &#x27;EPSG:9859&#x27;, &#x27;EPSG:9860&#x27;, &#x27;EPSG:9861&#x27;,
&#x27;EPSG:9862&#x27;, &#x27;EPSG:9863&#x27;, &#x27;EPSG:9864&#x27;, &#x27;EPSG:9865&#x27;,
&#x27;EPSG:4284&#x27;, &#x27;EPSG:4179&#x27;, &#x27;EPSG:4178&#x27;,
&#x27;EPSG:7825&#x27;, &#x27;EPSG:7826&#x27;, &#x27;EPSG:7827&#x27;, &#x27;EPSG:7828&#x27;, &#x27;EPSG:7829&#x27;, &#x27;EPSG:7830&#x27;, &#x27;EPSG:7831&#x27;
Якщо ви бажаєте додати якусь СК шукайте нас в JD Help чаті в Telegram: https://t.me/+eq7gtxjTXYBjZmUy]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/brych92/UA_CRS_Magic]]></homepage>
        <file_name>UA_CRS_Magic.0.2.1.zip</file_name>
        <icon>/media/packages/2023/icon_NFARvkb.png</icon>
        <author_name><![CDATA[Стьопа]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/UA_CRS_Magic/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[brych92]]></uploaded_by>
        <create_date>2023-11-21T20:43:16.545569+00:00</create_date>
        <update_date>2023-11-21T20:43:17.315888+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/brych92/UA_CRS_Magic/issues]]></tracker>
        <repository><![CDATA[https://github.com/brych92/UA_CRS_Magic]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>2525</downloads>
        <average_vote>4.599540045995401</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SOSIexpressions" version="0.1" plugin_id="3201">
        <description><![CDATA[Expressions related to SOSI-data]]></description>
        <about><![CDATA[This plugin contains utility expressions to work with data from the Norwegian SOSI format. The expressions will be listed under SOSI in the expression list in e.g. the field calculator.
&lt;h4&gt;rotation_from_vector(&quot;vectorfield&quot;)&lt;/h4&gt;From &quot;vectorfield&quot;, a field containing a vector as a space separated string of numbers, e.g. &quot;0 -1&quot; or &quot;0.2 0.8&quot;, a  rotation in degrees is calculated. This function can be used directly for calculating a rotation angle in the symbology window, in which case the symbol will be rotated the number of degrees clockwise so a stymbol initially pointing northwards is pointing in the same direction as the vector. If the symbol initially is not pointing northwards, the angular offset can be corrected, e.g.
&lt;i&gt;rotation_from_vector(&quot;vectorfield&quot;) + 90&lt;/i&gt;
for a symbol that is pointing westwards.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sickel/SOSIexpression]]></homepage>
        <file_name>SOSIexpressions.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Morten Sickel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SOSIexpressions/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mortensickel]]></uploaded_by>
        <create_date>2023-11-22T18:16:16.845962+00:00</create_date>
        <update_date>2023-11-22T18:16:16.986390+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sickel/SOSIexpression]]></tracker>
        <repository><![CDATA[https://github.com/sickel/SOSIexpression]]></repository>
        <tags><![CDATA[expressions,norway,norge,sosi]]></tags>
        <downloads>3948</downloads>
        <average_vote>4.2995700429957004</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Project Full Text Search" version="0.2" plugin_id="3203">
        <description><![CDATA[This plugin generates a full text search index containing all attributes of all layers of a loaded project. The user then can use a single text-input field to search within all available attributes.]]></description>
        <about><![CDATA[This plugin uses a SQLite database to create a full-text-search trigram Index of all attributes of all loaded layers within a QGIS project. Any change applied to these layers can be tracked by the plugin automatically and the full-text-search index is updated accordingly. The user then can use a single text-input field to search for any value present within the attributes.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/scubbx/qgis-project-fts]]></homepage>
        <file_name>project_fts.0.2.zip</file_name>
        <icon>/media/packages/2023/icon_VvAxBft.png</icon>
        <author_name><![CDATA[Markus Mayr]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/project_fts/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[scubbx]]></uploaded_by>
        <create_date>2023-11-27T13:10:29.911132+00:00</create_date>
        <update_date>2023-12-18T17:06:41.853600+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/scubbx/qgis-project-fts/issues]]></tracker>
        <repository><![CDATA[https://github.com/scubbx/qgis-project-fts]]></repository>
        <tags><![CDATA[search,attribute]]></tags>
        <downloads>1943</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Python Module Manager" version="0.1.5" plugin_id="3205">
        <description><![CDATA[Show all the installed packages (distributions); Show modules in a selected package; Install a package/packages; Load a module and get the version.]]></description>
        <about><![CDATA[Show the installed packages, versions and modules]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/babayoshihiko/python_module_manager]]></homepage>
        <file_name>python_module_manager.0.1.5.zip</file_name>
        <icon>/media/packages/2023/icon_mtIq7h8.png</icon>
        <author_name><![CDATA[BABA Yoshihiko]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/python_module_manager/version/0.1.5/download/</download_url>
        <uploaded_by><![CDATA[baba]]></uploaded_by>
        <create_date>2023-11-30T03:35:38.762374+00:00</create_date>
        <update_date>2023-12-14T00:48:05.551759+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/babayoshihiko/python_module_manager/issues]]></tracker>
        <repository><![CDATA[https://github.com/babayoshihiko/python_module_manager]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>4735</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QRiS" version="0.9.3" plugin_id="3215">
        <description><![CDATA[QGIS Riverscapes Studio (QRiS)]]></description>
        <about><![CDATA[QRiS is a QGIS plugin designed to support a framework for consistently authoring, analyzing, and presenting information related to riverscape health.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://riverscapes.github.io/QRiS/]]></homepage>
        <file_name>qris_deploy.0.9.3.zip</file_name>
        <icon>/media/packages/2025/QRiS_128.png</icon>
        <author_name><![CDATA[North Arrow Research]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qris_deploy/version/0.9.3/download/</download_url>
        <uploaded_by><![CDATA[riverscapes]]></uploaded_by>
        <create_date>2023-12-08T19:51:17.858234+00:00</create_date>
        <update_date>2024-09-11T19:55:25.983313+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Riverscapes/QRiS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Riverscapes/QRiS]]></repository>
        <tags><![CDATA[python,planning,riverscapes]]></tags>
        <downloads>23047</downloads>
        <average_vote>4.499550044995501</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BrandGIS" version="1.0.3" plugin_id="3222">
        <description><![CDATA[BrandGIS Ledningsstöd och geografisk lägesbild vid brand i skog och mark.]]></description>
        <about><![CDATA[Denna applikation är en hjälp för dig för att arbeta som ett ledningsstöd och geografisk lägesbild vid brand i skog och mark.
Se mer information på:
https://ext-geoportal.lansstyrelsen.se/arcgis/apps/storymaps/collections/7b8f0317581240f9b8d6beacd840ad1e]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Danlin82/BrandGIS/wiki]]></homepage>
        <file_name>brand_gis.1.0.3.zip</file_name>
        <icon>/media/packages/2024/icon_D08rweQ.png</icon>
        <author_name><![CDATA[Daniel Lind]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/brand_gis/version/1.0.3/download/</download_url>
        <uploaded_by><![CDATA[danlinqgis]]></uploaded_by>
        <create_date>2023-12-15T12:45:57.212444+00:00</create_date>
        <update_date>2024-04-18T09:39:42.123648+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Danlin82/BrandGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Danlin82/BrandGIS]]></repository>
        <tags><![CDATA[editing,project,print,digitizing,topography]]></tags>
        <downloads>2020</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Riverscapes Viewer" version="0.9.4" plugin_id="3224">
        <description><![CDATA[Explore symbolized Riverscapes projects]]></description>
        <about><![CDATA[The Riverscapes Viewer Plugin is part of the Riverscapes Consortium’s much larger family of tools for analyzing riverscapes. The Riverscapes Viewer Plugin itself does not do any analysis, but allows exploring of any Riverscapes-compliant project. This plugin provides an explorer in which you can navigate the “project tree”, and add any layer to map symbolized appropriately.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://viewer.riverscapes.net]]></homepage>
        <file_name>riverscapes_viewer.0.9.4.zip</file_name>
        <icon>/media/packages/2025/Viewer_256.png</icon>
        <author_name><![CDATA[North Arrow Research]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/riverscapes_viewer/version/0.9.4/download/</download_url>
        <uploaded_by><![CDATA[riverscapes]]></uploaded_by>
        <create_date>2023-12-15T21:08:03.867152+00:00</create_date>
        <update_date>2024-09-09T22:28:24.869289+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Riverscapes/QRAVEPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Riverscapes/QRAVEPlugin]]></repository>
        <tags><![CDATA[python,riverscapes,riverscapes_viewer]]></tags>
        <downloads>7598</downloads>
        <average_vote>4.666277810182485</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GSI-AddressSearch" version="0.2" plugin_id="3225">
        <description><![CDATA[国土地理院のAPIを利用して、住所を検索した結果の地点を表示します。住所検索した結果から選択してポイントを追加することもできます。国土地理院API（https://msearch.gsi.go.jp/address-search/AddressSearch）から取得したデータを加工して利用。This plugin allows the user to search for a address and get its coordinates using GSI API.]]></description>
        <about><![CDATA[This plugin allows the user to search for a address and get its coordinates using GSI API.GSI is one of Japanese Governmental Organizations, stands for Geospatial Information Authority of Japan. https://www.gsi.go.jp/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hrko9gis/GSI-AddressSearch]]></homepage>
        <file_name>GSI-AddressSearch.0.2.zip</file_name>
        <icon>/media/packages/2024/Search.gif</icon>
        <author_name><![CDATA[Kohei Hara]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GSI-AddressSearch/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[hrko9gis]]></uploaded_by>
        <create_date>2023-12-17T04:54:11.084059+00:00</create_date>
        <update_date>2023-12-22T10:13:02.801447+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hrko9gis/GSI-AddressSearch/issues]]></tracker>
        <repository><![CDATA[https://github.com/hrko9gis/GSI-AddressSearch]]></repository>
        <tags><![CDATA[address,location,japan,gsi,jpn]]></tags>
        <downloads>6181</downloads>
        <average_vote>3.832694550908182</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Dokumente verknüpfen" version="0.1" plugin_id="3228">
        <description><![CDATA[With this Plugin documents can be connected to objects. It is designed for sewer system inspection data.]]></description>
        <about><![CDATA[With this Plugin documents can be connected to objects. It is designed for sewer system inspection data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/a-matz/QGis_document_connector]]></homepage>
        <file_name>document_connector.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_rMBecYu.png</icon>
        <author_name><![CDATA[Armin Matzl]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/document_connector/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[arminmatzl]]></uploaded_by>
        <create_date>2023-12-23T12:35:09.166177+00:00</create_date>
        <update_date>2023-12-23T12:35:09.474110+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/a-matz/QGis_document_connector/issues]]></tracker>
        <repository><![CDATA[https://github.com/a-matz/QGis_document_connector]]></repository>
        <tags><![CDATA[python,sewer]]></tags>
        <downloads>2073</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Localisation Grand Lyon" version="0.4.1" plugin_id="3234">
        <description><![CDATA[Suite d&#x27;outils de localisation utilisés pour les logiciels métiers QGIS de la Métropole Grand Lyon.]]></description>
        <about><![CDATA[Recherche par d&#x27;adresse et route (possibilité par intersection) / Recherche cadastre / Recherche générique]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/locator-grand-lyon/]]></homepage>
        <file_name>locator_grand_lyon.0.4.1.zip</file_name>
        <icon>/media/packages/2024/icon_v88riHg.jpeg</icon>
        <author_name><![CDATA[Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/locator_grand_lyon/version/0.4.1/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2024-01-05T16:56:44.211332+00:00</create_date>
        <update_date>2024-04-17T14:03:48.530231+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/locator-grand-lyon/-/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/locator-grand-lyon/]]></repository>
        <tags><![CDATA[locator,grand lyon]]></tags>
        <downloads>4768</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CZML Moving Objects" version="0.1" plugin_id="3236">
        <description><![CDATA[This plugin creates CZML files for moving objects described as points]]></description>
        <about><![CDATA[CZML Moving Objects is a plugin to create CZML files for moving objects, which represented in QGIS as points, timestamps and common ID numbers of every single moving object (for exp. a column &quot;vehicle_id&quot;).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tum-gis/CZMLMovingObjects]]></homepage>
        <file_name>CZMLMovingObjects.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_dpaQFo9.png</icon>
        <author_name><![CDATA[Murat Kendir]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CZMLMovingObjects/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[muratkendir]]></uploaded_by>
        <create_date>2024-01-08T09:06:15.608738+00:00</create_date>
        <update_date>2024-01-08T09:06:16.273686+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tum-gis/CZMLMovingObjects/issues]]></tracker>
        <repository><![CDATA[https://github.com/tum-gis/CZMLMovingObjects/releases]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1094</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Data Sources Panel" version="0.2.1" plugin_id="3247">
        <description><![CDATA[Panel/dock with overview of layer data sources]]></description>
        <about><![CDATA[Show layer data sources in a panel, as table or as tree grouped by data provider and export to CSV/Excel files.
Data source information for each layer is presented as its data provider and its “storage location”, i.e. directory+file on the harddrive or database+schema+table for a PostGIS layer.
This is related to the “TocTable” plugin, which produces a static table of the layer data sources with more details. However,the ”Data Sources Panel” offers an additional tree view, and both views are dynamic, i. e. they follow changes to the layers.
This plugin provides a similar experience as the “List by Source“ view in the ESRI ArcGIS Table of Contents.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/effjot/qgis-data-sources-panel]]></homepage>
        <file_name>data_sources_panel.0.2.1.zip</file_name>
        <icon>/media/packages/2024/icon_VyHBmm7.png</icon>
        <author_name><![CDATA[Florian Jenn]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/data_sources_panel/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[effjot]]></uploaded_by>
        <create_date>2024-01-21T00:02:00.062436+00:00</create_date>
        <update_date>2024-01-22T21:41:50.948834+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/effjot/qgis-data-sources-panel/issues]]></tracker>
        <repository><![CDATA[https://github.com/effjot/qgis-data-sources-panel]]></repository>
        <tags><![CDATA[project,database,layers]]></tags>
        <downloads>2007</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS2API-CNIG" version="0.7.1" plugin_id="3248">
        <description><![CDATA[Este plugin ha sido reemplazado por &#x27;QGIS2API-IDEE&#x27;: https://plugins.qgis.org/plugins/qgis2apiidee/. Puedes instalarlo desde el repositorio oficial. 

Complemento que crea un visualizador cartográfico con el contenido del lienzo de QGIS]]></description>
        <about><![CDATA[Este complemento exporta un visualizador cartográfico API-CNIG a partir de los datos cargados en el mapa.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/IngenieroGeomatico/QGIS2API-CNIG]]></homepage>
        <file_name>qgis2apicnig.0.7.1.zip</file_name>
        <icon>/media/packages/2025/icon_1thZCrQ.png</icon>
        <author_name><![CDATA[IngenieroGeomatico]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis2apicnig/version/0.7.1/download/</download_url>
        <uploaded_by><![CDATA[ingenierogeomatico]]></uploaded_by>
        <create_date>2024-01-23T14:40:10.506125+00:00</create_date>
        <update_date>2025-09-29T17:53:13.717765+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IngenieroGeomatico/QGIS2API-CNIG]]></tracker>
        <repository><![CDATA[https://github.com/IngenieroGeomatico/QGIS2API-CNIG]]></repository>
        <tags><![CDATA[python,openlayers,api-cnig,visualizador]]></tags>
        <downloads>4849</downloads>
        <average_vote>4.684087260861556</average_vote>
        <rating_votes>38</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Eurostat downloader" version="0.5.0" plugin_id="3258">
        <description><![CDATA[This plugin can be used to get data using the Eurostat API.]]></description>
        <about><![CDATA[Eurostat Downloader can be used to add Eurostat datasets as tables in QGIS and join them with vector layers. For a guide on how to use the package, check the homepage. Depends on the &#x27;eurostat&#x27; python package. After installing it, make sure to give QGIS a restart.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alecsandrei/eurostat_downloader]]></homepage>
        <file_name>eurostat_downloader.0.5.0.zip</file_name>
        <icon>/media/packages/2026/icon_UUOVGES.png</icon>
        <author_name><![CDATA[Cuvuliuc Alex-Andrei]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eurostat_downloader/version/0.5.0/download/</download_url>
        <uploaded_by><![CDATA[alecsandrei]]></uploaded_by>
        <create_date>2024-01-28T19:23:25.805077+00:00</create_date>
        <update_date>2026-02-14T09:07:48.711462+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alecsandrei/eurostat_downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/alecsandrei/eurostat_downloader]]></repository>
        <tags><![CDATA[database,statistics,api,eurostat,gisco]]></tags>
        <downloads>4609</downloads>
        <average_vote>3.733084461035931</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QAnnAGNPS" version="1.0" plugin_id="3261">
        <description><![CDATA[This plugin integrates the AnnAGNPS model into QGIS]]></description>
        <about><![CDATA[This plugin facilitates the use of AnnAGNPS in the execution and in the visualization of the results.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Inigobarbe/QGIS-AnnAGNPS]]></homepage>
        <file_name>qannagnps.1.0.zip</file_name>
        <icon>/media/packages/2024/logo.svg</icon>
        <author_name><![CDATA[Iñigo Barberena Ruiz]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qannagnps/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[inigo]]></uploaded_by>
        <create_date>2024-01-30T14:28:32.472237+00:00</create_date>
        <update_date>2024-01-30T14:28:32.619307+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Inigobarbe/QGIS-AnnAGNPS/issues]]></tracker>
        <repository><![CDATA[https://github.com/Inigobarbe/QGIS-AnnAGNPS]]></repository>
        <tags><![CDATA[python,annagnps,modelation,soil erosion]]></tags>
        <downloads>732</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QTalsim" version="1.2.0" plugin_id="3266">
        <description><![CDATA[QTalsim is a QGIS plugin with four principal functionalities that enable the processing of spatial data suitable for Talsim (http://www.talsim.de/).]]></description>
        <about><![CDATA[QTalsim is a QGIS plugin with four principal functionalities that enable the processing of spatial data suitable for Talsim. Firstly, it enables users to calculate Hydrological Response Units (HRUs). Secondly, the plugin faciliates a direct connection to a Talsim database, enabling users to edit system elements, sub-basins and transport reaches. The third functionality allows the user to preprocess sub-basins and calculate the longest flowpaths for each sub-basin. Another functionality downloads data from ISRIC and creates a layer containing the soil type and bulk density class for a given input area. The fifth functionality allows to map German land cover data to Talsim land uses.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sydroconsult.github.io/QTalsim/doc_qtalsim.html]]></homepage>
        <file_name>QTalsim.1.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_npnoo4x.png</icon>
        <author_name><![CDATA[SYDRO Consult GmbH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QTalsim/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[sydrolt]]></uploaded_by>
        <create_date>2024-02-01T10:58:05.639540+00:00</create_date>
        <update_date>2024-03-22T10:34:32.588878+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sydroconsult/QTalsim/issues]]></tracker>
        <repository><![CDATA[https://github.com/sydroconsult/QTalsim]]></repository>
        <tags><![CDATA[python,talsim,hydrological-modelling]]></tags>
        <downloads>8248</downloads>
        <average_vote>4.499550044995501</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DigiAgriApp" version="0.3.4" plugin_id="3267">
        <description><![CDATA[Plugins to work with DigiAgriApp server]]></description>
        <about><![CDATA[This plugin is able to interfaces with DigiAgriApp trough its API. You can upload and download vector and raster data]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://digiagriapp.gitlab.io/digiagriapp-website/]]></homepage>
        <file_name>digiagriapp.0.3.4.zip</file_name>
        <icon>/media/packages/2026/icon_AzEilYs.png</icon>
        <author_name><![CDATA[Luca Delucchi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/digiagriapp/version/0.3.4/download/</download_url>
        <uploaded_by><![CDATA[lucadelu]]></uploaded_by>
        <create_date>2024-02-01T12:24:27.270861+00:00</create_date>
        <update_date>2025-03-03T20:47:55.720028+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/digiagriapp/digiagriapp-qgis-plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/digiagriapp/digiagriapp-qgis-plugin]]></repository>
        <tags><![CDATA[web,api,agri]]></tags>
        <downloads>6311</downloads>
        <average_vote>4.24893776555861</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Quick_search" version="1.1" plugin_id="3269">
        <description><![CDATA[Quick_search]]></description>
        <about><![CDATA[The plugin is used to quickly search for objects in your project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Sakal24/quick_search.git]]></homepage>
        <file_name>quick_search.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_JmFRBxN.png</icon>
        <author_name><![CDATA[Sakal Mykhailo and Tretiak Volodymyr]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quick_search/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[sakal]]></uploaded_by>
        <create_date>2024-02-06T10:13:22.686975+00:00</create_date>
        <update_date>2024-02-06T10:13:22.892887+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Sakal24/quick_search/issues]]></tracker>
        <repository><![CDATA[https://github.com/Sakal24/quick_search]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>16456</downloads>
        <average_vote>4.781731241250159</average_vote>
        <rating_votes>55</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SmartSDI" version="0.5" plugin_id="3271">
        <description><![CDATA[SmartSDI plugin (Geo-System)
PL: Wyszukiwanie oraz pobieranie danych z ewidencji gruntów i budynków
EN: Search and download cadastral data in Poland]]></description>
        <about><![CDATA[PL: Wtyczka SmartSDI - zaawansowane wyszukiwanie działek ewidencyjnych oraz pobieranie danych (działki, budynki, adresy) w postaci wektorowej z usługi Polish Cadaster Data Integration
EN: SmartSDI plugin - advanced search for cadastral parcels in Poland, downloading vector data (parcels, buildings, addresses) from the Polish Cadaster Data Integration service]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://smartsdi.pl/qgis]]></homepage>
        <file_name>qgis-smartsdi.0.5.zip</file_name>
        <icon>/media/packages/2025/icon_hYgL2hD.png</icon>
        <author_name><![CDATA[Geo-System]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-smartsdi/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[geosystem]]></uploaded_by>
        <create_date>2024-02-07T13:18:56.377820+00:00</create_date>
        <update_date>2024-02-07T13:18:56.742607+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geo-system/qgis-smartsdi/issues]]></tracker>
        <repository><![CDATA[https://github.com/geo-system/qgis-smartsdi]]></repository>
        <tags><![CDATA[search,buildings,download,poland,działki,polska,parcels,egib,cadaster,budynki,ewidencja gruntów]]></tags>
        <downloads>4272</downloads>
        <average_vote>4.845781093762018</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HedgeTools" version="0.4.3" plugin_id="3274">
        <description><![CDATA[Extract and caracterize hedges. \n

A documentation is available at: https://hedgetools-oop-0770ee.pages-forge.inrae.fr/fr/]]></description>
        <about><![CDATA[HedgeTools is a Python plugin for QGIS designed to characterize hedgerows.
It aims to automate the calculation of properties and indicators at different scales of analysis (object, context, network, and landscape).
Several modules are available, including tools for extracting data from images and 3D LiDAR point clouds.

In the current version, several groups of metrics are provided:
- Metrics describing hedge morphology
- Metrics describing hedge structure
- Metrics describing the position of hedge within the landscape
- Metrics analyzing the hedge network

The plugin was developed by the DYNAFOR laboratory (INRAE / INP-AgroToulouse / EI Purpan).
It has received support from CNES (SCO EagleHedges project) in collaboration with TerraNIS.
It is also funded by the French Ministry of Agriculture and Food Sovereignty (MAASA)
and the Ministry for Ecological Transition (MTE) as part of the National Hedge Observatory, in collaboration with OFB and IGN.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://hedgetools-oop-0770ee.pages-forge.inrae.fr/fr/]]></homepage>
        <file_name>hedge_tools.0.4.3.zip</file_name>
        <icon>/media/packages/2026/hedge_tools_MTfvikC.png</icon>
        <author_name><![CDATA[Gabriel MARQUÈS, Lucas Bernigaud Samatan, David Sheeren]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hedge_tools/version/0.4.3/download/</download_url>
        <uploaded_by><![CDATA[dynafor]]></uploaded_by>
        <create_date>2024-02-13T14:58:40.940618+00:00</create_date>
        <update_date>2025-07-21T11:44:33.315629+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://forge.inrae.fr/dynafor/workflows/hedgetools/-/issues]]></tracker>
        <repository><![CDATA[https://forge.inrae.fr/dynafor/workflows/hedgetools]]></repository>
        <tags><![CDATA[extraction,tree cover,characterization,hedges]]></tags>
        <downloads>4231</downloads>
        <average_vote>4.33304446370242</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="pqkmeans-clustering" version="0.1" plugin_id="3277">
        <description><![CDATA[This clustering algorithm is a quantized version of the K-Means algorithm that is memory and computationaly more efficient.]]></description>
        <about><![CDATA[The instractions for instalation of external dependencies can be found in the main page (README.md file) of the repository: https://github.com/arngolo/pqkmeans-qgis-plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/arngolo/pqkmeans-qgis-plugin]]></homepage>
        <file_name>pqkmeans_clustering.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_0OoU1wF.png</icon>
        <author_name><![CDATA[armstrong ngolo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pqkmeans_clustering/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[arngolo]]></uploaded_by>
        <create_date>2024-02-14T03:07:21.790258+00:00</create_date>
        <update_date>2024-02-14T03:07:23.545558+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/arngolo/pqkmeans-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/arngolo/pqkmeans-qgis-plugin]]></repository>
        <tags><![CDATA[raster,analysis,remote sensing,clustering,kmeans,pqkmeans]]></tags>
        <downloads>1272</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Zonal Exact Extract" version="0.43" plugin_id="3287">
        <description><![CDATA[Zonal Statistics of rasters using Exact Extract library]]></description>
        <about><![CDATA[Zonal Statistics using ExactExtract library. This plugin requires exactextract library installed with python.
If there&#x27;s need to update `exactextract` user should close QGIS, open OSGeo4WShell and write:
pip install exactextract --upgrade
You can read more about plugin and installation requirements in plugin repository / homepage.

This library allows to treat pixel cells as partially covered by polygons using weighting according to the extent of cover. If you want to know more about the library working in the backend of this plugin it&#x27;s highly recommend to visit its github repository.
The geoprocessesing tool &quot;Zonal statistics&quot; currently implemented in QGIS have an issues that yield wrong results in certain situations. Exactextract can remedy it.

Features:
--------
-Multiple supported statistics: Every statistic given by exactextract is supported by plugin (statistics), including array result type (usage of these statistics might slow down calculation and saving stage) and weighted statistics (statistics with weighted_ name).
-Define own, custom functions : Write custom Python code to define extra, additional features for raster zonal statistics. Custom functions should accept raster values and coverage attributes.
-Usage of QGIS parallel engine: There is an option to process statistics calculation in multiple parts (subtasks/batch option). Calculation of statistics in this case is done in parallel manner using QgsTaskManager engine. To configure number of parallel cores it will use you should configure Max Threads option in QGIS settings.
-Support multiple values rasters: Selection of multiple rasters will process each raster separately and append to the result.
-Support multiband rasters: In case there&#x27;s a multiband raster - each band is processed during calculations and is output as separate set of columns.
-Support weights raster]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JakubCha/exactextract_qgis]]></homepage>
        <file_name>zonal_exact.0.43.zip</file_name>
        <icon>/media/packages/2024/exact_icon_pMEJ7qE.svg</icon>
        <author_name><![CDATA[Jakub Charyton]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/zonal_exact/version/0.43/download/</download_url>
        <uploaded_by><![CDATA[jcharyton]]></uploaded_by>
        <create_date>2024-02-27T18:26:08.884264+00:00</create_date>
        <update_date>2024-04-11T05:21:03.252583+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JakubCha/exactextract_qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/JakubCha/exactextract_qgis]]></repository>
        <tags><![CDATA[vector,python,raster,statistics,extract,exact,zonal]]></tags>
        <downloads>11274</downloads>
        <average_vote>4.454410472409927</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="gis3d" version="0.1" plugin_id="3288">
        <description><![CDATA[This plugins generates a 3D model based on the inputs]]></description>
        <about><![CDATA[The plugin generates a 3D model based on the inputs]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/chenkianwee/gis3d]]></homepage>
        <file_name>gis3d.0.1.zip</file_name>
        <icon>/media/packages/2024/logo_2j8LWWj.png</icon>
        <author_name><![CDATA[chenkianwee]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gis3d/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[chenkianwee]]></uploaded_by>
        <create_date>2024-02-28T20:07:05.767165+00:00</create_date>
        <update_date>2024-02-28T20:07:06.122485+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chenkianwee/gis3d/issues]]></tracker>
        <repository><![CDATA[https://github.com/chenkianwee/gis3d]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1469</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Style Exporter" version="0.5" plugin_id="3290">
        <description><![CDATA[Plugin export styles of selected layers to individual file with name same as layers name.]]></description>
        <about><![CDATA[EN: Plugin batch layer styles export of selected layers to individual file with same name as layers name.

PL: Plugin eksportuje masowo style wybranych warstw do odrębnych plików z nazwami takimi jak nazwa warstwy.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/Rzezimioszek]]></homepage>
        <file_name>style_exporter.0.5.zip</file_name>
        <icon>/media/packages/2024/icon_IPZwNLT.png</icon>
        <author_name><![CDATA[Łukasz Świątek]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/style_exporter/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[rzezimioszek]]></uploaded_by>
        <create_date>2024-03-01T13:40:45.070771+00:00</create_date>
        <update_date>2024-03-19T08:25:42.503713+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Rzezimioszek/QGIS-style-exporter/issues]]></tracker>
        <repository><![CDATA[https://github.com/Rzezimioszek/QGIS-style-exporter]]></repository>
        <tags><![CDATA[python,export,style,polish,layer style]]></tags>
        <downloads>3403</downloads>
        <average_vote>4.399560043995601</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Map tools" version="0.1" plugin_id="3291">
        <description><![CDATA[QGIS plugin for little helpers in map production]]></description>
        <about><![CDATA[Tools for producing maps with PostgreSQL/PostGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MathiasGroebe/map-tools/]]></homepage>
        <file_name>map-tools.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_0lAmF6v.svg</icon>
        <author_name><![CDATA[Mathias Gröbe]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/map-tools/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mathiasgroebe]]></uploaded_by>
        <create_date>2024-03-03T18:26:51.734032+00:00</create_date>
        <update_date>2024-03-03T18:26:52.129540+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MathiasGroebe/map-tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/MathiasGroebe/map-tools/]]></repository>
        <tags><![CDATA[python,postgis,map production]]></tags>
        <downloads>1777</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Marine Tools" version="1.10.0" plugin_id="3292">
        <description><![CDATA[Tools for marine habitat mapping]]></description>
        <about><![CDATA[Marine tools for analysis and interpretation.  These tools include:  Benthic Terrain Modeller - geomorphological interpretation of bathymetry data,  OBIA - Object Based Image Analysis using a simple k-means algorithm,   MBES Segmentation - Classification using OBIA on bathymetry and backscatter data from a Multibeam Echosounder,  Bathymetry Morphometry - Create several derivatives from bathymetry data, Spike filter (deviation filter from median),  Tools for multibeam survey design (new surveys and filling in surveys),  Imagery manipulation - removing outliers and changing null settings, Grey level Co-occurrence Matrices (GLCM), CSV conversion to points or grids, Information listing of all Layers in project, Random Forest predictions (using R), CoMMa feature delineation, Sidescan sonar synthetic imagery + some test data.  Now fully documented.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.98.0</qgis_maximum_version>
        <homepage><![CDATA[https://noc.ac.uk/n/Tim+Le+Bas]]></homepage>
        <file_name>marinetools.1.10.0.zip</file_name>
        <icon>/media/packages/2026/icon_s90NdxK.png</icon>
        <author_name><![CDATA[Tim Le Bas, National Oceanography Centre, Southampton. UK.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/marinetools/version/1.10.0/download/</download_url>
        <uploaded_by><![CDATA[tplb]]></uploaded_by>
        <create_date>2024-03-04T11:56:58.620199+00:00</create_date>
        <update_date>2026-02-26T14:22:23.842724+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tlbtlb/MarineToolsQGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/tlbtlb/MarineToolsQGIS]]></repository>
        <tags><![CDATA[python,survey,segmentation,bathymetry,obia,btm,benthic,glcm,comma,synthetic sidescan]]></tags>
        <downloads>9458</downloads>
        <average_vote>4.499678594386116</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UA_NGO_PDF_Parser" version="0.1" plugin_id="3293">
        <description><![CDATA[This plugin parse pdf files with NGO data and create table with result]]></description>
        <about><![CDATA[The plugin is used for parsing files of NGO extracts in *.pdf format. As a result, the plugin creates a table with the results. Optionally, you can create a new layer with the parsing results.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Bohdan2505/UA_NGO_PDF_Parser]]></homepage>
        <file_name>ua_ngo_pdf_parser.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_bBvUmz9.png</icon>
        <author_name><![CDATA[Bohdan2505]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ua_ngo_pdf_parser/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[bohdan2505]]></uploaded_by>
        <create_date>2024-03-04T14:41:16.368280+00:00</create_date>
        <update_date>2024-03-04T14:41:16.851002+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Bohdan2505/UA_NGO_PDF_Parser/issues]]></tracker>
        <repository><![CDATA[https://github.com/Bohdan2505/UA_NGO_PDF_Parser]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>826</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Data Validator" version="0.1" plugin_id="3296">
        <description><![CDATA[Prototype for vector data validation]]></description>
        <about><![CDATA[Tool validates vector structure. Just select your input vector file and expected json file. Expected file json structure is placed on repository or in the plugin folder (expected.json). Edit the data inside the json file. Tool will compare vector metadata with expected json metadata and printout the differences. It is very important to keep data quality regarding to vector file structure. It is experimental version for QGIS User Conference 2024.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/michpil/geospatial_python/-/tree/master/geospatial_test/pyqgis_test/plugin/data_validation?ref_type=heads]]></homepage>
        <file_name>data_validation.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_Gry1tKH.png</icon>
        <author_name><![CDATA[Michal Pilarski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/data_validation/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[michpil]]></uploaded_by>
        <create_date>2024-03-06T08:40:38.594174+00:00</create_date>
        <update_date>2024-03-06T08:40:38.720718+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/michpil/geospatial_python/-/tree/master/geospatial_test/pyqgis_test/plugin/data_validation?ref_type=heads]]></tracker>
        <repository><![CDATA[https://gitlab.com/michpil/geospatial_python/-/tree/master/geospatial_test/pyqgis_test/plugin/data_validation?ref_type=heads]]></repository>
        <tags><![CDATA[python vector validation test json]]></tags>
        <downloads>690</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SciPy Filters" version="1.99" plugin_id="3297">
        <description><![CDATA[Filter collection implemented with SciPy]]></description>
        <about><![CDATA[QGIS plugin providing access to SciPy filters via the processing toolbox. SciPy offers a range of highly optimised algorithms for i.e. multidimensional image processing and signal processing, and some can be useful to analyze raster layers.
Includes raster filters such as:
- binary/grey morphology (dilation, erosion, closing, opening; tophat etc.)
- principal component analysis (PCA)
- statistical filters (local variance, std, median, minimum, percentile etc.)
- edge detection (sobel, prewitt, gaussian magnitude etc.)
- convolution with a custom kernel (both, classic and FFT versions)
- sharpening with unsharp mask
- noise removal with Wiener filter
- blurring (gaussian, box filter etc.)
- Pixel statistics (std, mean, min ... of all bands for individual pixels)
- Get no data mask, apply no data mask (i.e. set cells to no data)
- fill no data cells of all bands with value, band mean or minimum, maximum or central value of the data type
Most filters are based on scipy.ndimage, a library to filter images (or arrays, rasters) in n dimensions. These are either applied on each layer seperately in 2D, or in 3D on a 3D datacube consisting of all bands. In most cases, the plugin simply provides a user interface for a single SciPy function, gets the raster data using GDAL, calls the SciPy function with the provided parameters and loads the result back into QGIS. A few filters (PCA, unsharp mask, pixel statistics etc.) use custom functions that where implemented using SciPy and/or Numpy.
For many filters, a custom footprint and/or structure or kernel can be provided, adjusting the size and shape of the filter.
Python users get helpers.RasterWizard to quickly get the data of a raster layer as numpy array and the processing result back into QGIS as a new raster layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/florianneukirchen/scipy_filters]]></homepage>
        <file_name>scipy_filters.1.99.zip</file_name>
        <icon>/media/packages/2026/logo32.png</icon>
        <author_name><![CDATA[Florian Neukirchen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/scipy_filters/version/1.99/download/</download_url>
        <uploaded_by><![CDATA[riannek]]></uploaded_by>
        <create_date>2024-03-07T17:07:19.189305+00:00</create_date>
        <update_date>2025-11-23T11:23:55.655540+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/florianneukirchen/scipy_filters/issues]]></tracker>
        <repository><![CDATA[https://github.com/florianneukirchen/scipy_filters]]></repository>
        <tags><![CDATA[python,raster,filter,analysis,edge,principal components analysis,pca,image,smoothing,no data]]></tags>
        <downloads>13651</downloads>
        <average_vote>4.33304446370242</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SADI Processor" version="0.2" plugin_id="3298">
        <description><![CDATA[A plugin to Process Standardized Agricultural Drought Index.]]></description>
        <about><![CDATA[Welcome to SADI Processor! SADI Processor is your premier software tool for swiftly and accurately assessing the Standardized Agricultural Drought Index (SADI) in any region. Our user-friendly interface and robust features make it a breeze for farmers, policymakers, and researchers to understand drought conditions and their impact on agriculture. Key Features: Customized Analysis: Tailor your analysis by selecting your desired region, whether it&#x27;s a single farm or an entire watershed. Real-Time Data: Access up-to-date data satellites. SADI Calculation: Utilize our advanced algorithms to compute the Standardized Agricultural Drought Index, enabling easy comparison across regions and timeframes. Interactive Visualization: Explore historical trends and identify drought hotspots through intuitive maps . SADI Processor empowers users with the insights needed to mitigate agricultural losses and build resilience against drought.NOTE: google earth engine plugin required.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/john-ngugi/drought_indexer]]></homepage>
        <file_name>drought_indexer.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_uiSWcTU.png</icon>
        <author_name><![CDATA[John Ngugi, Dr. Godfrey Makokha, Bonface Odhiambo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/drought_indexer/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[johnngugi]]></uploaded_by>
        <create_date>2024-03-08T08:06:35.099564+00:00</create_date>
        <update_date>2024-03-21T09:38:40.535301+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/john-ngugi/drought_indexer]]></tracker>
        <repository><![CDATA[https://github.com/john-ngugi/drought_indexer]]></repository>
        <tags><![CDATA[python,satellite,index,drought,drought index,johnngugi0407@gmail.com,makokha.godfrey@ttu.ac.ke,taita taveta university,bonfaceodhiambo291@gmail.com,standardized,drought indexer]]></tags>
        <downloads>7011</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Samon" version="0.4" plugin_id="3299">
        <description><![CDATA[Saisie monoscopique sur la BD Ortho]]></description>
        <about><![CDATA[Un seul clic sur la BD Ortho suffit pour obtenir les coordonnées 3D du point cliqué !]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/IGNF/Samon]]></homepage>
        <file_name>Samon-master.0.4.zip</file_name>
        <icon>/media/packages/2024/icon_PYgdBx4.png</icon>
        <author_name><![CDATA[Célestin Huet (IGN)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Samon-master/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[chouette]]></uploaded_by>
        <create_date>2024-03-08T10:58:27.224167+00:00</create_date>
        <update_date>2024-04-02T07:07:03.795704+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IGNF/Samon]]></tracker>
        <repository><![CDATA[https://github.com/IGNF/Samon]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2144</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="moniQue" version="0.1" plugin_id="3304">
        <description><![CDATA[Monoplotting oblique images with uncertainty estimation.]]></description>
        <about><![CDATA[With moniQue its possible to i) convert digital terrain model (DTM) to a mesh ii) estimate the interior and exterior orientation of onlique images iii) monoplot features of interest in real-time iv) estimate the uncertainty of monoplotted features. ATTENTION: Before installing the plugin additional python packages are required. Currently only works until QGIS 3.34.3 as afterwards QGIS switched to a newer Python release. Please visit https://github.com/smfloery/moniQue for more information.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/smfloery/moniQue]]></homepage>
        <file_name>monique.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_tAjug7R.png</icon>
        <author_name><![CDATA[Sebastian Mikolka-Flöry]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/monique/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[smfloery]]></uploaded_by>
        <create_date>2024-03-13T13:21:53.979580+00:00</create_date>
        <update_date>2024-03-13T13:21:55.533490+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/smfloery/moniQue/issues]]></tracker>
        <repository><![CDATA[https://github.com/smfloery/moniQue]]></repository>
        <tags><![CDATA[monoplotting,photogrammetry,orthophoto,image orientation,uncertainty estimation]]></tags>
        <downloads>1560</downloads>
        <average_vote>4.499625031247397</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Roll" version="0.3.2" plugin_id="3305">
        <description><![CDATA[Design and analysis of 3D seismic survey geometries]]></description>
        <about><![CDATA[&lt;p&gt;This plugin is intended to create and analyze 3D seismic survey geometries. It is dependent on the following Python packages:&lt;ul&gt;
&lt;li&gt;&lt;b&gt;debugpy&lt;/b&gt; (version 1.8.17) &lt;i&gt;if you want to debug GUI- and worker threads&lt;/i&gt; &lt;/li&gt;
&lt;li&gt;&lt;b&gt;numba&lt;/b&gt; (version 0.62.1) Not strictly required, but it &lt;i&gt;&lt;b&gt;significantly&lt;/b&gt;&lt;/i&gt; speeds up calculations&lt;/li&gt;
&lt;li&gt;&lt;b&gt;numpy&lt;/b&gt; (version 1.26.4) &lt;i&gt;should already be installed by QGIS installation&lt;/i&gt; &lt;/li&gt;
&lt;li&gt;&lt;b&gt;pyqtgraph&lt;/b&gt; (version 0.13.7) or higher&lt;/li&gt;
&lt;li&gt;&lt;b&gt;rasterio&lt;/b&gt; (version 1.4.1) &lt;/li&gt;
&lt;li&gt;&lt;b&gt;wellpathpy&lt;/b&gt; (version 0.5.2) &lt;/li&gt;&lt;/ul&gt;
&lt;p&gt;Please install these packages &lt;b&gt;first&lt;/b&gt;, using pip from the OSGeo4W command prompt (on Windows)
&lt;p&gt;Use &lt;b&gt;pip list&lt;/b&gt; to detect which packages and versions have already been installed. (E.g. numpy should already be installed)
&lt;p&gt;Start with installing rasterio (it has quite a few dependencies), followed by numba, pyqtgraph and wellpathpy in that order
&lt;p&gt;Usage: &lt;b&gt; python -m pip install {package_name}=={package_version}&lt;/b&gt;
&lt;p&gt;
&lt;p&gt;Whereby rasterio will install (requires) affine, attrs, certifi, chardet, charset-normalizer, click, click-plugins, cligj, and colorama
&lt;p&gt;And numba will install the llvmlite bindings for the llvm JIT compiler
&lt;p&gt;
&lt;p&gt;Please take note:&lt;ul&gt;
&lt;li&gt;Packages newer than those listed above may have bug fixes (nice) or incompatibilities (not so nice) &lt;/li&gt;
&lt;li&gt;Wellpathpy 0.5.2 solved a deprecation warning in 0.5.0, as a call to &#x27;import pkg_resources&#x27; has been removed &lt;/li&gt;
&lt;li&gt;The plugin has not (yet) been tested on Linux or macOS &lt;/li&gt;
&lt;li&gt;The plugin works best on a QHD Screen (2560 x 1440 pixels) or larger &lt;/li&gt;
&lt;li&gt;As of QGIS v3.32, High-DPI UI scaling issues have arisen. See the following discussion on GitHub &lt;a href=&quot;https://github.com/qgis/QGIS/issues/53898&quot;&gt;here&lt;/a&gt; &lt;/li&gt;
&lt;li&gt;As of version 3.34.6, QGIS upgraded Python from v3.9 to to v3.12 This speeds up calculations and solves some security issues.
But when &lt;i&gt;upgrading&lt;/i&gt; from an earlier QGIS version, it requires installing the above listed packages &lt;b&gt;&lt;i&gt;again.&lt;/b&gt;&lt;/i&gt; &lt;/li&gt;&lt;/ul&gt;
&lt;p&gt;
&lt;p&gt;As of version 0.4.6 the plugin is compatible with Qt6. Note that with Qt6 the High DPI scaling issues have been resolved
&lt;p&gt;As of version 0.6.3 the plugin is compatible with QGIS 4.0. Some numpy attribute names needed to be changed for NumPy 2.0
&lt;p&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/MrBeee/roll]]></homepage>
        <file_name>roll.0.3.2.zip</file_name>
        <icon>/media/packages/2026/icon_3Wr2w5S.png</icon>
        <author_name><![CDATA[Duijndam.Dev]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/roll/version/0.3.2/download/</download_url>
        <uploaded_by><![CDATA[mrbeee]]></uploaded_by>
        <create_date>2024-03-13T14:57:47.103591+00:00</create_date>
        <update_date>2024-07-08T10:16:34.919976+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MrBeee/roll/issues]]></tracker>
        <repository><![CDATA[https://github.com/MrBeee/roll]]></repository>
        <tags><![CDATA[sps data,3d seismic,seismic survey design]]></tags>
        <downloads>10618</downloads>
        <average_vote>4.499550044995501</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Mineral Exploration Web Services" version="0.3" plugin_id="3314">
        <description><![CDATA[This plugin connects your QGIS User Profile to many openly hosted web services related to mineral exploration. These include Country and State geological surveys that provide mapped geology and data such as mineral occurence locations, geophysics, geochemistry etc.]]></description>
        <about><![CDATA[This plugin connects your QGIS User Profile to many openly hosted web services related to mineral exploration. These include Country and State geological surveys that provide mapped geology and data such as mineral occurence locations, geophysics, geochemistry etc.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jack-tuna/Mineral_Exploration_Web_Services]]></homepage>
        <file_name>mineral_exploration_web_services.0.3.zip</file_name>
        <icon>/media/packages/2026/icon_siBHyGT.png</icon>
        <author_name><![CDATA[Jack Maughan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mineral_exploration_web_services/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[jackmaughan]]></uploaded_by>
        <create_date>2024-03-18T22:56:45.041645+00:00</create_date>
        <update_date>2026-03-20T02:05:18.459916+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jack-tuna/Mineral_Exploration_Web_Services/issues]]></tracker>
        <repository><![CDATA[https://github.com/jack-tuna/Mineral_Exploration_Web_Services]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>2561</downloads>
        <average_vote>4.3842781324513505</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Simple ETL" version="0.1" plugin_id="3318">
        <description><![CDATA[A simple ETL for spatial data]]></description>
        <about><![CDATA[This plugin provides simple data integration facilities from spatial layers. The ETL (Extract-Transform-Load) pipeline includes user defined transformation rules based on QGIS field calculator. It also implements basic data matching techniques such as duplicate detection based on attributes and geometry. ETL configuration can be saved/loaded to/from JSON file, and log messages are displayed as a feedback.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://codeberg.org/LETG/simpletl]]></homepage>
        <file_name>simpletl.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_62D4fxk.png</icon>
        <author_name><![CDATA[Benjamin Hervy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/simpletl/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[bhervy]]></uploaded_by>
        <create_date>2024-03-21T14:53:06.290456+00:00</create_date>
        <update_date>2024-03-21T14:53:07.885176+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://codeberg.org/LETG/simpletl/issues]]></tracker>
        <repository><![CDATA[https://codeberg.org/LETG/simpletl]]></repository>
        <tags><![CDATA[python,etl,data integration]]></tags>
        <downloads>1216</downloads>
        <average_vote>3.142408227396086</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Delta Shares" version="0.4" plugin_id="3319">
        <description><![CDATA[With this plugin you can load data from delta shares]]></description>
        <about><![CDATA[This plugin enables you to load data directly from delta sharing implementaions, such as Databricks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Bartman0/q-delta-lake]]></homepage>
        <file_name>delta_lake.0.4.zip</file_name>
        <icon>/media/packages/2024/icon_WBvZrOC.png</icon>
        <author_name><![CDATA[Richard Kooijman]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/delta_lake/version/0.4/download/</download_url>
        <uploaded_by><![CDATA[bartman0]]></uploaded_by>
        <create_date>2024-03-22T13:06:51.645792+00:00</create_date>
        <update_date>2024-04-23T08:28:04.109402+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Bartman0/q-delta-lake/issues]]></tracker>
        <repository><![CDATA[https://github.com/Bartman0/q-delta-lake]]></repository>
        <tags><![CDATA[database]]></tags>
        <downloads>1184</downloads>
        <average_vote>3.99800099950025</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Clasificación de redes hídricas" version="0.1" plugin_id="3321">
        <description><![CDATA[Este plugin clasifica las redes hídricas por medio de una etapa de enriquecimiento y otra de lógica difusa. Advertencia: Versión experimental, algunos procesos pueden ser largos de aplicar.]]></description>
        <about><![CDATA[Este plugin clasifica las redes hídricas por medio de una etapa de enriquecimiento y otra de lógica difusa. Utiliza la librería sklearn.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://coello.ujaen.es/investigacion/web_giic/funquality4dem/hnc]]></homepage>
        <file_name>clasificacion_redes.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_GBR2UM9.png</icon>
        <author_name><![CDATA[Ramón Cruz Blanco and Manuel A. Ureña Cámara]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/clasificacion_redes/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[maurena]]></uploaded_by>
        <create_date>2024-03-25T10:10:41.669885+00:00</create_date>
        <update_date>2024-03-25T10:10:43.159533+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://coello.ujaen.es/investigacion/web_giic/funquality4dem/hnc/index.html#C6]]></tracker>
        <repository><![CDATA[https://github.com/maurena/networkclassification]]></repository>
        <tags><![CDATA[python,hydrographic classification]]></tags>
        <downloads>643</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RioGIS 2" version="0.0.18" plugin_id="3322">
        <description><![CDATA[RioGIS offline]]></description>
        <about><![CDATA[This Exports attributes of a given feature to a config text file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/vavpp/riogisoffline]]></homepage>
        <file_name>riogisoffline.0.0.18.zip</file_name>
        <icon>/media/packages/2025/icon_OzQFC4b.png</icon>
        <author_name><![CDATA[Vann og Avløpsetaten Oslo kommune]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/riogisoffline/version/0.0.18/download/</download_url>
        <uploaded_by><![CDATA[paalped]]></uploaded_by>
        <create_date>2024-03-25T12:31:25.496228+00:00</create_date>
        <update_date>2024-04-15T08:59:42.429157+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/vavpp/riogisoffline/issues]]></tracker>
        <repository><![CDATA[https://github.com/vavpp/riogisoffline]]></repository>
        <tags><![CDATA[vector,attribute,export,table,txt]]></tags>
        <downloads>20432</downloads>
        <average_vote>4.4541405326788475</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SIOSE Tools" version="0.1" plugin_id="3323">
        <description><![CDATA[Herramientas SIOSE.]]></description>
        <about><![CDATA[Este plugin permite consultar la cartografía SIOSE del IGN de una forma ágil, extrayendo las zonas de interés del usuario.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/IGN-SIOSE/SIOSE_TOOLS]]></homepage>
        <file_name>siose_tools.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_zJHkEeQ.png</icon>
        <author_name><![CDATA[IGN-UCLM]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/siose_tools/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[ignsiose]]></uploaded_by>
        <create_date>2024-03-25T12:32:10.681410+00:00</create_date>
        <update_date>2024-03-25T12:32:11.862920+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IGN-SIOSE/SIOSE_TOOLS/issues]]></tracker>
        <repository><![CDATA[https://github.com/IGN-SIOSE/SIOSE_TOOLS.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1676</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NDVI and EVI Index Calculator" version="0.1" plugin_id="3326">
        <description><![CDATA[This plugin calculates NDVI and EVI index from Sentinel 2 B02, B04 and B08 Bands.]]></description>
        <about><![CDATA[This plugin was developed for calculating NDVI and EVI index from Sentinel 2 satellite images (preferably downloaded via Copernicus Browser – B02, B04 and B08 bands). It is expected (partially tested) to work with georeferenced drone images as well, as long as image names contain recognizable date string. This plugin is designed to produces NDVI and EVI index TIFF rasters that are going to be used as an input layers for new QGIS plugin (NDVI to Variable Nitrogen Application Map - alredy made available in QGIS repository) capable of producing site-specific variable nitrogen application maps based on site-specific index values (Precision Agriculture).
Minimal data set for testing can be found in GitHub repository which is homepage of this plugin.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></homepage>
        <file_name>ndvi_and_evi_index_calculator.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_FagfBWj.png</icon>
        <author_name><![CDATA[Emir Memic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ndvi_and_evi_index_calculator/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[memicemir]]></uploaded_by>
        <create_date>2024-03-27T05:26:06.590823+00:00</create_date>
        <update_date>2024-03-27T05:26:08.468138+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></tracker>
        <repository><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>10070</downloads>
        <average_vote>4.899510048995101</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SMODERP2D" version="2.0.2" plugin_id="3328">
        <description><![CDATA[This plugin calculates hydrological and erosion processes on individual plots or small catchments.]]></description>
        <about><![CDATA[The SMODERP2D model is designed to calculate hydrological and erosion processes on individual plots or small catchments. The outputs of the model are primarily used to determine runoff conditions in a catchment and obtain parameters for runoff and erosion control measures on agricultural land. Additionally, the model can assist in designing more complex systems, including sediment retention ponds, dry basins, or polders. Its use complies with current methods, technical standards, and recommended practices.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.10</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://storm-fsv-cvut.github.io/smoderp2d-manual/]]></homepage>
        <file_name>smoderp2d_plugin.2.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_i9Nz7Wv.png</icon>
        <author_name><![CDATA[CTU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/smoderp2d_plugin/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[martinl]]></uploaded_by>
        <create_date>2024-03-27T10:14:04.245305+00:00</create_date>
        <update_date>2025-06-13T06:50:24.648164+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/storm-fsv-cvut/smoderp2d/issues]]></tracker>
        <repository><![CDATA[https://github.com/storm-fsv-cvut/smoderp2d]]></repository>
        <tags><![CDATA[python,hydrology,erosion]]></tags>
        <downloads>1654</downloads>
        <average_vote>3.999200159968006</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NDVI to Variable Nitrogen Application Map" version="0.2" plugin_id="3331">
        <description><![CDATA[This plugin was developed for producing variable nitrogen application maps based on index (e.g. NDVI, EVI) values.]]></description>
        <about><![CDATA[This open-source plugin was developed (for educational purposes) initially for producing variable nitrogen application maps based on site-specific variablity of NDVI (EVI) index values in satelite (or drone) images. Additionally user can produce yield potential maps based on index values. Some options are still being tested. In case of any issues or IMPROVMENT recommendations, please contact the author!

Minimal data set for testing can be found in GitHub repository which is homepage of this plugin.

At the same GitHub repository in the pdf document &quot;QGIS Plugin - NDVI to Variable Nitrogen Application Map.pdf&quot; detailed description of specific options can be found!]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></homepage>
        <file_name>ndvi_to_variable_nitrogen_application_map.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_My4jHaH.png</icon>
        <author_name><![CDATA[Emir Memic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ndvi_to_variable_nitrogen_application_map/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[memicemir]]></uploaded_by>
        <create_date>2024-03-29T11:19:12.963430+00:00</create_date>
        <update_date>2024-04-01T06:47:09.917193+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></tracker>
        <repository><![CDATA[https://github.com/memicemir/ndvi_to_variable_N_application]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>8040</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Indonesian Multi-scaled Grid System" version="0.1" plugin_id="3333">
        <description><![CDATA[This plugin automate the determination of Indonesia&#x27;s Environmental Support and Capacity.]]></description>
        <about><![CDATA[IMSGS is a QGIS plugin that provides comprehensive support for calculating, mapping, and analyzing in a data-driven framework. The main objective of IMSGS is to provide automation of the determination of Indonesia&#x27;s Environmental Support and Capacity in compliance with the national guidelines of the Ministry of Environment and Forestry.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/alshaadiq/IMSGS-QGIS-Plugin.git]]></homepage>
        <file_name>IMSGS-QGIS-Plugin-main2.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_pBz8WmU.png</icon>
        <author_name><![CDATA[Dr. Akhmad Riqqi, M.Si., Dr. Albertus Deliar, S.T., M.T., Ir. Agung Budi Harto, M.Sc., Ph.D., Dr. Riantini Virtriana, S.T., M.T., Irwanto, Muhammad Usman Alshaadiq, Mutia Hendriani Putri, Rania Altairatri Evelina Brawijaya]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/IMSGS-QGIS-Plugin-main2/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mutiahendriani]]></uploaded_by>
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        <update_date>2024-03-31T17:54:07.111842+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alshaadiq/IMSGS-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/alshaadiq/IMSGS-QGIS-Plugin.git]]></repository>
        <tags><![CDATA[water,grid,environmental,population,food,carrying capacity]]></tags>
        <downloads>3446</downloads>
        <average_vote>4.458147577184284</average_vote>
        <rating_votes>24</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[A plugin for Shoreline Change Analysis (SCA).]]></description>
        <about><![CDATA[QSCAT offers the following features:

* Shoreline Change: computes shoreline change statistics: shoreline change envelope (SCE), net shoreline movement (NSM), end-point rate (EPR), linear regression rate (LRR), and weighted linear regression rate (WLR).

* Area Change: calculates length and area of accreting, stable, and eroding coastal segments.

* Forecasting: predict future shoreline positions including uncertainty areas.

* Automator: tools that automate manual repetitive tasks.

* Visualization: shoreline change, area change, and forecasting results are visualized in the map for easy interpretation.

* Summary Reports: generates a comprehensive summary reports of the analysis results.

For changelog please visit https://github.com/qscat/qscat/blob/master/CHANGELOG.md]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>qscat.0.4.2.zip</file_name>
        <icon>/media/packages/2025/qscat.png</icon>
        <author_name><![CDATA[Louis Facun]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qscat/version/0.4.2/download/</download_url>
        <uploaded_by><![CDATA[louisfacun]]></uploaded_by>
        <create_date>2024-04-08T07:18:28.600744+00:00</create_date>
        <update_date>2025-11-02T14:00:36.297535+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qscat/qscat/issues]]></tracker>
        <repository><![CDATA[https://github.com/qscat/qscat]]></repository>
        <tags><![CDATA[coastline,shoreline,coastal erosion,shoreline change,shoreline change analyis]]></tags>
        <downloads>6291</downloads>
        <average_vote>4.639814407423703</average_vote>
        <rating_votes>25</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PG service parser" version="0.6.1" plugin_id="3348">
        <description><![CDATA[View, edit or copy PG service entries]]></description>
        <about><![CDATA[View, edit or copy PG service entries for PostgreSQL connections]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengisch/qgis-pg-service-parser-plugin]]></homepage>
        <file_name>pg_service_parser.0.6.1.zip</file_name>
        <icon>/media/packages/2026/logo_UaHGnOG.png</icon>
        <author_name><![CDATA[OPENGIS.CH]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pg_service_parser/version/0.6.1/download/</download_url>
        <uploaded_by><![CDATA[opengisch]]></uploaded_by>
        <create_date>2024-04-17T13:47:16.499800+00:00</create_date>
        <update_date>2025-03-05T14:14:36.052501+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/qgis-pg-service-parser-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/qgis-pg-service-parser-plugin]]></repository>
        <tags><![CDATA[database,service,postgresql,db,connection,pgservice]]></tags>
        <downloads>10753</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Transition-QGIS" version="0.1.1" plugin_id="3349">
        <description><![CDATA[Access a Transition transit planning server data and functionalities from QGIS]]></description>
        <about><![CDATA[A plugin to integrate Transition functionalities into QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/chairemobilite/transition_qgis]]></homepage>
        <file_name>Transition-QGIS.0.1.1.zip</file_name>
        <icon>/media/packages/2024/icon_Ac7HMIg.png</icon>
        <author_name><![CDATA[Transition City]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Transition-QGIS/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[tahini]]></uploaded_by>
        <create_date>2024-04-17T23:31:33.310619+00:00</create_date>
        <update_date>2024-06-07T17:49:08.968391+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chairemobilite/transition_qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/chairemobilite/transition_qgis]]></repository>
        <tags><![CDATA[python,plugin,transition]]></tags>
        <downloads>1262</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="jpdata" version="0.6.25" plugin_id="3361">
        <description><![CDATA[Download and load various data of Japan]]></description>
        <about><![CDATA[Download and load various data of Japan.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/babayoshihiko/jpdata]]></homepage>
        <file_name>jpdata.0.6.25.zip</file_name>
        <icon>/media/packages/2025/icon_fVBflwX.png</icon>
        <author_name><![CDATA[Yoshihiko Baba]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/jpdata/version/0.6.25/download/</download_url>
        <uploaded_by><![CDATA[baba]]></uploaded_by>
        <create_date>2024-05-11T21:28:23.007276+00:00</create_date>
        <update_date>2025-11-26T01:54:40.974269+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/babayoshihiko/jpdata/issues]]></tracker>
        <repository><![CDATA[https://github.com/babayoshihiko/jpdata]]></repository>
        <tags><![CDATA[python,tile,japan,国土地理院,census,国勢調査,国土数値情報,geospatial information authority,land numerical information]]></tags>
        <downloads>10268</downloads>
        <average_vote>3.99966669444213</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UA Coordinates Transformation" version="0.1" plugin_id="3364">
        <description><![CDATA[Трансформація (перерахунок) координат вектороного шару через офіційне API Державної геодезичної мережі]]></description>
        <about><![CDATA[Плагін здійснює перерахунок векторного шару (координат) між системами координат СК-63, СК-42, УСК-2000 та похідними від них місцевих систем координат в межах території України через офіційне API Державної геодезичної мережі (ДГМ). УВАГА!!! Плагін лише формує запити до API ДГМ та перетворює результат у векторний шар. Весь перерахунок здійснюється на серверах API ДГМ. Автор плагіну - Bohdan2505. Автор головного алгоритму - Стьопа (brych92 on github, brych92@gmail.com). Плагін розроблено в рамках проекту &quot;Відкриті інструменти просторового планування для України&quot;. Якщо ви бажаєте запропонувати покращення шукайте нас в JD Help чаті в Telegram: https://t.me/+eq7gtxjTXYBjZmUy]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Bohdan2505/UA-Coordinates-Transformation]]></homepage>
        <file_name>ua_api_transform.0.1.zip</file_name>
        <icon>/media/packages/2024/icon_QfjJ58c.png</icon>
        <author_name><![CDATA[Bohdan2505]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ua_api_transform/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[bohdan2505]]></uploaded_by>
        <create_date>2024-05-16T11:39:45.715538+00:00</create_date>
        <update_date>2024-05-16T11:39:48.546062+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Bohdan2505/UA-Coordinates-Transformation/issues]]></tracker>
        <repository><![CDATA[https://github.com/Bohdan2505/UA-Coordinates-Transformation]]></repository>
        <tags><![CDATA[python,transform]]></tags>
        <downloads>1005</downloads>
        <average_vote>4.272338878283793</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Swiss GeoAdmin Bulk Geocoder" version="0.2.1" plugin_id="3381">
        <description><![CDATA[Bulk geocoding of Swiss building addresses using the geocoding service of geo.admin.ch, the portal of swisstopo.]]></description>
        <about><![CDATA[The Swiss GeoAdmin Bulk Geocoder provides geocoding functionality for building addresses in Switzerland using the geo.admin.ch service, the portal hosted by swisstopo. The plugin allows users to perform bulk geocoding on a vector layer by adding coordinates to address attributes. This plugin was developed independently of geo.admin.ch.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/geometalab/swiss-geoadmin-bulk-geocoder/blob/master/README.md]]></homepage>
        <file_name>swiss-geoadmin-bulk-geocoder-master.0.2.1.zip</file_name>
        <icon>/media/packages/2026/icon_IEN7REg.png</icon>
        <author_name><![CDATA[Niklas Vogel, Felix Reiniger, Stefan Keller]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/swiss-geoadmin-bulk-geocoder-master/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[geometalab]]></uploaded_by>
        <create_date>2024-05-31T21:29:50.445629+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://gitlab.com/geometalab/swiss-geoadmin-bulk-geocoder/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geometalab/swiss-geoadmin-bulk-geocoder]]></repository>
        <tags><![CDATA[vector,geocoding,point,address]]></tags>
        <downloads>1990</downloads>
        <average_vote>3.999200159968006</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CartoGrapher" version="0.1" plugin_id="3382">
        <description><![CDATA[This plugin provides commonly used methods to produce a generalized  map.]]></description>
        <about><![CDATA[This is a plugin to produce generalized map]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/oypzz/QGIS-PLUGIN-Cartographer.git]]></homepage>
        <file_name>cartographer.0.1.zip</file_name>
        <icon>/media/packages/2024/m.png</icon>
        <author_name><![CDATA[Anqi, Ouyang ,College fo Geographic Information and Science,Jilin University]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cartographer/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[oypzz]]></uploaded_by>
        <create_date>2024-06-01T01:33:55.833628+00:00</create_date>
        <update_date>2024-06-01T01:33:58.155705+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/oypzz/QGIS-PLUGIN-Cartographer/issues]]></tracker>
        <repository><![CDATA[https://github.com/oypzz/QGIS-PLUGIN-Cartographer.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1100</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Georeferencer Extension" version="3.0.5" plugin_id="3383">
        <description><![CDATA[Extension to the QGIS 3.x/4.x Georeferencer]]></description>
        <about><![CDATA[This is an extension to the QGIS 3.x/4.x Georeferencer. The main purpose of this extension is to save the georeferencing results in VRT files rather than just GeoTIFF.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cxcandid/GeorefExtension]]></homepage>
        <file_name>GeorefExtension.3.0.5.zip</file_name>
        <icon>/media/packages/2026/go.png</icon>
        <author_name><![CDATA[Christoph Candido]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeorefExtension/version/3.0.5/download/</download_url>
        <uploaded_by><![CDATA[cxcandid]]></uploaded_by>
        <create_date>2024-06-01T16:38:29.165621+00:00</create_date>
        <update_date>2024-06-02T11:08:30.652576+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cxcandid/GeorefExtension/issues]]></tracker>
        <repository><![CDATA[https://github.com/cxcandid/GeorefExtension]]></repository>
        <tags><![CDATA[raster,clip,gdal,georeferencing,vrt]]></tags>
        <downloads>280940</downloads>
        <average_vote>4.639737143673467</average_vote>
        <rating_votes>322</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Pan Europeo" version="0.0.9" plugin_id="3390">
        <description><![CDATA[Ponders very large and distinct rasters with different utility functions]]></description>
        <about><![CDATA[This plugin calculates a summary raster weighting very large and distinct rasters with different multi utility attribute functions, for the PanEuropeo project by fire2a(.com).
1.0.0 Features summing nodata values as 0, skip normalization phase, notifications for background tasks. Bugfixes on values on startup, bipiecewise formula]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://fire2a.github.io/qgis-pan-europeo]]></homepage>
        <file_name>pan_batido.0.0.9.zip</file_name>
        <icon>/media/packages/2025/icon_bzJBgBL.png</icon>
        <author_name><![CDATA[Fernando Badilla Veliz - Fire2a.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pan_batido/version/0.0.9/download/</download_url>
        <uploaded_by><![CDATA[fdobad]]></uploaded_by>
        <create_date>2024-06-03T17:05:14.391572+00:00</create_date>
        <update_date>2025-01-28T19:35:57.247549+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fire2a/qgis-pan-europeo/issues]]></tracker>
        <repository><![CDATA[https://github.com/fire2a/qgis-pan-europeo]]></repository>
        <tags><![CDATA[python,raster summary,multiattribute utility functions,ponderation]]></tags>
        <downloads>4355</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spot Height Extractor" version="1.0" plugin_id="3392">
        <description><![CDATA[This plugin extracts spot heights from an elevation model.]]></description>
        <about><![CDATA[This plugin derives spot heights from an elevation model.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/eleeld/Spot-Height-Extractor-Plugin]]></homepage>
        <file_name>Spot-Height-Extractor-Plugin-main.1.0.zip</file_name>
        <icon>/media/packages/2024/spot_height_icon.png</icon>
        <author_name><![CDATA[Elena Field - British Antarctic Survey]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Spot-Height-Extractor-Plugin-main/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[efield]]></uploaded_by>
        <create_date>2024-06-06T16:00:29.871014+00:00</create_date>
        <update_date>2024-06-06T16:00:32.746030+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eleeld/Spot-Height-Extractor-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/eleeld/Spot-Height-Extractor-Plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>3588</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BathyFlowDEM" version="0.1" plugin_id="3394">
        <description><![CDATA[Anisotropie interpolation for bathymetric data]]></description>
        <about><![CDATA[BathyFlowDEM uses flow-oriented curvilinear coordinate system and anisotropic Inverse Distance Weighting interpolation to create a digital elevation model from a set of bathymetry data points and a user-defined river centerline. The anisotropy ratio is set by the user.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/melindafemminis/BathyFlowDEM/tree/master]]></homepage>
        <file_name>bathyflowdem.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_G7m2NS1.png</icon>
        <author_name><![CDATA[Melinda Femminis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bathyflowdem/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[melindafte]]></uploaded_by>
        <create_date>2024-06-13T00:14:58.572841+00:00</create_date>
        <update_date>2024-06-13T00:15:00.709899+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/melindafemminis/BathyFlowDEM/tree/master]]></tracker>
        <repository><![CDATA[https://github.com/melindafemminis/BathyFlowDEM]]></repository>
        <tags><![CDATA[python,raster,dem,interpolation,idw,bathymetry,anisotropy]]></tags>
        <downloads>2336</downloads>
        <average_vote>3.749531308586427</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="mgwr_plugin" version="1.1" plugin_id="3401">
        <description><![CDATA[A QGIS plugin for Multiscale Geographically Weighted Regression (MGWR)]]></description>
        <about><![CDATA[Performs Multiscale Geographically Weighted Regression (MGWR), which is a local form of linear regression that models spatially varying relationships.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yiwu-gis/mgwr_plugin]]></homepage>
        <file_name>mgwr_plugin.1.1.zip</file_name>
        <icon>/media/packages/2024/mgwr.png</icon>
        <author_name><![CDATA[Huaying Gu &amp; Yi Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mgwr_plugin/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[aaronwu]]></uploaded_by>
        <create_date>2024-06-20T05:44:40.310034+00:00</create_date>
        <update_date>2024-06-20T05:44:42.004350+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yiwu-gis/mgwr_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/yiwu-gis/mgwr_plugin]]></repository>
        <tags><![CDATA[vector,python,geospatial,regression,mgwr]]></tags>
        <downloads>2250</downloads>
        <average_vote>4.665889018496917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Commuting Analysis" version="3.0" plugin_id="3408">
        <description><![CDATA[This plugin analysis and visualises coummting data.]]></description>
        <about><![CDATA[This plugin analysis and visualises commuting data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/qgissverige/commuting_plugin/tree/main/commuting_analysis]]></homepage>
        <file_name>commuting_analysis.3.0.zip</file_name>
        <icon>/media/packages/2024/icon_Pdtr1H1.png</icon>
        <author_name><![CDATA[Kristian Bergstrand]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/commuting_analysis/version/3.0/download/</download_url>
        <uploaded_by><![CDATA[bergstrand]]></uploaded_by>
        <create_date>2024-06-26T13:34:19.113312+00:00</create_date>
        <update_date>2024-06-26T13:34:21.931769+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qgissverige/commuting_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qgissverige/commuting_plugin/tree/main/commuting_analysis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>613</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Auxiliary Labeldata Importer" version="0.2" plugin_id="3412">
        <description><![CDATA[Helps you to import Labeldata, stored in an auxiliary Layer from another Project.]]></description>
        <about><![CDATA[This Plugin assists in importing label placement data from an auxiliary layer in another project. It focuses exclusively on label-related fields, disregarding non-label-related fields in the source project&#x27;s auxiliary layer. Additionally, it operates independently without requiring any other plugins.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/threalslimtobeeee/label_importer]]></homepage>
        <file_name>label_importer.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_eYJCRWB.png</icon>
        <author_name><![CDATA[Tobias]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/label_importer/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[heitob903]]></uploaded_by>
        <create_date>2024-07-01T18:22:43.446158+00:00</create_date>
        <update_date>2024-07-06T13:34:41.463331+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/threalslimtobeeee/label_importer/issues]]></tracker>
        <repository><![CDATA[https://github.com/threalslimtobeeee/label_importer]]></repository>
        <tags><![CDATA[vector,export,labeling,import]]></tags>
        <downloads>1004</downloads>
        <average_vote>4.399120175964807</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Polaris" version="25.12.21" plugin_id="3415">
        <description><![CDATA[QGIS interface for Polaris through Polaris-Studio]]></description>
        <about><![CDATA[POLARIS is a high-performance, computationally efficient tool that implements advanced travel and freight demand modeling, dynamic traffic assignment, and transportation simulation into an integrated modeling platform. POLARIS features an integrated network-demand model, in which all the aspects of travel decisions can be modeled simultaneously, including
Activity generation;
Activity planning (e.g., departure time, destination choice, mode-choice, etc.);
Multi-modal route choice;
Activity planning and rescheduling;
Freight and logistics planning; and
Fleet and transit service operational controls.

QPolaris is the QGIS interface for Polaris, including access to many features of Polaris&#x27; Python API through Polaris-Studio, as well as additional visualization and model-building tools]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/QPolaris]]></homepage>
        <file_name>QPolaris.25.12.21.zip</file_name>
        <icon>/media/packages/2026/icon_t77VbgY.png</icon>
        <author_name><![CDATA[Argonne National Laboratory]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QPolaris/version/25.12.21/download/</download_url>
        <uploaded_by><![CDATA[anlpolaris]]></uploaded_by>
        <create_date>2024-07-04T22:54:19.813925+00:00</create_date>
        <update_date>2025-12-21T00:14:38.016213+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://plugins.qgis.org/plugins/QPolaris]]></tracker>
        <repository><![CDATA[https://plugins.qgis.org/plugins/QPolaris]]></repository>
        <tags><![CDATA[traffic,transport,modelling,modeling,transportation,gtfs,simulation]]></tags>
        <downloads>3363</downloads>
        <average_vote>3.9995556049327856</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AIAMAS - AI-Assisted Map Styler" version="0.5.0" plugin_id="3422">
        <description><![CDATA[Symbolize your vector layers in seconds]]></description>
        <about><![CDATA[This plugin allows quick symbolization and automatically suggests fitting colors and symbols for newly loaded vector layers. It does not replace the QGIS Style Manager.
Vector layer names are assigned to the most similar entity name (e.g. bank, restaurant) using a list of predefined entities with associated styles. The suggested styles - i.e. colors and symbols - can be applied as is, or customized with a few mouse clicks.
To match layer names to entity names a Large Language Model (LLM) is used for semantic similarity. If no LLM service is available, the plugin defaults to algorithmic string similarity methods.
The plugin uses an open source LLM service hosted by the Institute for Software (IFS) at the Eastern Switzerland University of Applied Sciences (OST). To use this plugin, an API token must be entered in the Options dialog. This token can be generated for free on the IFS LLMHub website https://llmhub.infs.ch/. By using this service, you agree to follow its policy. The plugin primarily handles layer names in English, German and French. Help improve this plugin. Submit an issue or a merge request.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.16.6</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/geometalab/aiamas/aiamas-qgis-plugin/-/blob/main/README.md]]></homepage>
        <file_name>AIAMAS.0.5.0.zip</file_name>
        <icon>/media/packages/2026/icon_8ZofLBq.png</icon>
        <author_name><![CDATA[Diego Fantino, Niklas Vogel, Samuel Meuli, Stefan Keller]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AIAMAS/version/0.5.0/download/</download_url>
        <uploaded_by><![CDATA[geometalab]]></uploaded_by>
        <create_date>2024-07-12T13:34:50.724966+00:00</create_date>
        <update_date>2026-03-03T12:58:12.481658+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/geometalab/aiamas/AIAMAS-QGIS-Plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/geometalab/aiamas/AIAMAS-QGIS-Plugin]]></repository>
        <tags><![CDATA[vector,style,layers,color,machine learning,ai,icon]]></tags>
        <downloads>5632</downloads>
        <average_vote>4.809294795485929</average_vote>
        <rating_votes>21</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Spell Checker" version="0.2" plugin_id="3425">
        <description><![CDATA[Check the spelling of words in Print Layout elements]]></description>
        <about><![CDATA[This pluging provides the ability to check the spelling of Print Layout elements. It flags misspelled words, suggests corrections and allows the user to store unknown words in a local dictionary.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ianturton/qgis-spellcheck]]></homepage>
        <file_name>qgis-spellcheck.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_BuhXv0C.png</icon>
        <author_name><![CDATA[Ian Turton, GDSG, University of Glasgow]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-spellcheck/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[ianturton]]></uploaded_by>
        <create_date>2024-07-15T14:16:53.124278+00:00</create_date>
        <update_date>2024-07-21T10:12:51.972774+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ianturton/qgis-spellcheck/issues]]></tracker>
        <repository><![CDATA[https://github.com/ianturton/qgis-spellcheck]]></repository>
        <tags><![CDATA[spelling]]></tags>
        <downloads>1005</downloads>
        <average_vote>3.99800099950025</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LER+" version="2.5.9" plugin_id="3427">
        <description><![CDATA[Søg LER fra QGIS og ledningsdata indlæses automatisk med ét klik og er færdigformateret]]></description>
        <about><![CDATA[Søg LER fra QGIS og ledningsdata indlæses automatisk med ét klik og er færdigformateret]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://lerplus.dk]]></homepage>
        <file_name>lerplusdock.2.5.9.zip</file_name>
        <icon>/media/packages/2026/icon_00NRDds.png</icon>
        <author_name><![CDATA[qLER ApS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/lerplusdock/version/2.5.9/download/</download_url>
        <uploaded_by><![CDATA[mortenpoulsen]]></uploaded_by>
        <create_date>2024-07-16T19:26:13.809855+00:00</create_date>
        <update_date>2026-02-19T16:34:24.291661+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qleraps/lerplusplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qleraps/lerplusplugin]]></repository>
        <tags><![CDATA[ler2,ler]]></tags>
        <downloads>14534</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ur-scape Data Importer" version="0.2b" plugin_id="3429">
        <description><![CDATA[Import data to ur-scape.]]></description>
        <about><![CDATA[This plugin allows you to import data to ur-scape, an open-source geospatial planning support tool. Development by Urban-Rural Systems (URS) and Agropolitan Territories of Monsoon Asia (AGR) at Future Cities Laboratory (FCL) with the support of the Asian Development Bank (ADB) and the Swiss Secretariat for Economic Affairs (SECO). FCL was established by ETH Zürich and the National Research Foundation (NRF). Learn more about ur-scape at ur-scape.com.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.ur-scape.com]]></homepage>
        <file_name>ur-scapeDataImporter.0.2b.zip</file_name>
        <icon>/media/packages/2024/icon_sgEIHco.png</icon>
        <author_name><![CDATA[ur-scape team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ur-scapeDataImporter/version/0.2b/download/</download_url>
        <uploaded_by><![CDATA[jvargassec]]></uploaded_by>
        <create_date>2024-07-18T10:09:39.424783+00:00</create_date>
        <update_date>2024-07-23T06:41:01.784799+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/UrbanRuralSystems/ur-scape/issues]]></tracker>
        <repository><![CDATA[https://github.com/UrbanRuralSystems/ur-scape]]></repository>
        <tags><![CDATA[ur-scape]]></tags>
        <downloads>2953</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGISpell" version="0.2" plugin_id="3431">
        <description><![CDATA[SUPERSEDED: if you want to use spell checking functionality please see QspellinGIS.]]></description>
        <about><![CDATA[This is a proof of concept plugin for Spell Checking your attribute data - it builds a custom attribute form in a Dock window. It is necessarily clunky because QGIS does not currently expose the python bindings to allow the native attribute forms to use this functionality. It uses a custom identify tool to view each feature&#x27;s attributes and borrows basic functions from gotonextfeature3 plugin for navigating through features: it&#x27;s possible to loop through each feature of a selected layer - the canvas will Pan  or Zoom to each feature. REQUIRES: Enchant libraries - can be loaded using pyEnchant or libenchant2 in your python installation. Currently NOT working fully in Windows due to the python interpreter not loading libraries correctly (see reported QGIS issues). TRY: if you can install Ubuntu on WSL this will work on a Windows PC]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/walking-the-talk/qgispell]]></homepage>
        <file_name>QGISpell.0.2.zip</file_name>
        <icon>/media/packages/2024/icon_vjSVV8s.png</icon>
        <author_name><![CDATA[Chris York (Walking-the-Talk)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QGISpell/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[seewhy]]></uploaded_by>
        <create_date>2024-07-19T14:25:06.617518+00:00</create_date>
        <update_date>2024-07-23T09:14:46.090662+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/walking-the-talk/qgispell/issues]]></tracker>
        <repository><![CDATA[https://github.com/walking-the-talk/qgispell]]></repository>
        <tags><![CDATA[attributes,spelling]]></tags>
        <downloads>1189</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Disaster Risk Management IADB Toolbox" version="1.1.0" plugin_id="3453">
        <description><![CDATA[Processing provider that integrates various disaster risk management tools into QGIS.]]></description>
        <about><![CDATA[The toolbox was developed for IADB (Inter-American Development Bank, https://iadb.org) as a part of the ES-T1343 project (Platforma innovadora para la reduccion del riesgo de deslizamentos y flujos de detritos en El Salvador).

For now the plugin allows to run a tool called SPH (Smooth Particle Hydrodynamics) developed at the Escuela de Ingenieros de Caminos, Canales y Puertos of the University of Madrid by prof. Manuel Tomas Pastor Perez and his team. The SPH tool allow to model surface quick landslides.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NaturalGIS/iadb-toolbox]]></homepage>
        <file_name>iadb_toolbox.1.1.0.zip</file_name>
        <icon>/media/packages/2024/iadb_3x2W8Et.svg</icon>
        <author_name><![CDATA[NaturalGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/iadb_toolbox/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[alexbruy]]></uploaded_by>
        <create_date>2024-08-02T15:22:51.676911+00:00</create_date>
        <update_date>2024-10-17T10:55:45.125381+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NaturalGIS/iadb-toolbox/issues]]></tracker>
        <repository><![CDATA[https://github.com/NaturalGIS/iadb-toolbox]]></repository>
        <tags><![CDATA[analysis,processing,landslide]]></tags>
        <downloads>1355</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenLitterMap" version="1.0.0" plugin_id="3457">
        <description><![CDATA[Processing provider to download raw data from the OpenLitterMap (https://openlittermap.com) project.]]></description>
        <about><![CDATA[Processing provider to download raw data from the OpenLitterMap (https://openlittermap.com) project. The data will be downloaded using OLM API and added to a QGIS project as a point vector layer.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NaturalGIS/openlittermap]]></homepage>
        <file_name>openlittermap.1.0.0.zip</file_name>
        <icon>/media/packages/2024/openlittermap.svg</icon>
        <author_name><![CDATA[NaturalGIS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/openlittermap/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[alexbruy]]></uploaded_by>
        <create_date>2024-08-05T10:51:51.725504+00:00</create_date>
        <update_date>2024-08-05T10:51:53.273222+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NaturalGIS/openlittermap/issues]]></tracker>
        <repository><![CDATA[https://github.com/NaturalGIS/openlittermap]]></repository>
        <tags><![CDATA[analysis,points,processing,openlittermap]]></tags>
        <downloads>1049</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="merqantile" version="0.1.15" plugin_id="3467">
        <description><![CDATA[Easy visualisation of XYZ tile bounds]]></description>
        <about><![CDATA[This plugin allows users to easily visualise the bounaries of webmercator tiles, also known as XYZ or slippy map tiles.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/zabop/merqantile]]></homepage>
        <file_name>merqantile.0.1.15.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[zabop]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/merqantile/version/0.1.15/download/</download_url>
        <uploaded_by><![CDATA[zabop]]></uploaded_by>
        <create_date>2024-08-12T08:48:10.975604+00:00</create_date>
        <update_date>2024-08-31T20:40:26.682980+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zabop/merqantile/issues]]></tracker>
        <repository><![CDATA[https://github.com/zabop/merqantile]]></repository>
        <tags><![CDATA[python]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Using OpenTripPlanner to calculate public transport reachability from a starting point to all stops in a GTFS feed.]]></description>
        <about><![CDATA[With the Transit Reachability Analyser plugin, one can calculate and visualize the reachability of public transport. The itineraries are calculated by OpenTripPlanner. As a result, a point layer with an attribute table is created, providing various information for each station. The results can be displayed as a heatmap. If a polygon layer is generated based on the point layer, it can also be colored in the various color schemes provided by the plugin. Reachability is represented using the indicators travel time, travel time ratio, frequency, walking time, and transfer count.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/j-weck/transitReachabilityAnalyser.git]]></homepage>
        <file_name>transit_reachability_analyser.v1.0.0-beta.zip</file_name>
        <icon>/media/packages/2024/icon_sS8DLZV.png</icon>
        <author_name><![CDATA[Julek Weck]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/transit_reachability_analyser/version/v1.0.0-beta/download/</download_url>
        <uploaded_by><![CDATA[julek]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/j-weck/transitReachabilityAnalyser/issues]]></tracker>
        <repository><![CDATA[https://github.com/j-weck/transitReachabilityAnalyser.git]]></repository>
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        <average_vote>4.799040191961607</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[This Plugin connects to Clickhouse]]></description>
        <about><![CDATA[It connects Clickhouse with QGIS, enabling seamless connection and visualization of spatial data. It retrieves records from Clickhouse that contain point information and displays them as layers in QGIS. This plugin allows users to easily manage and visualize large geospatial datasets stored in Clickhouse directly within the QGIS environment.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2024/suhora.png</icon>
        <author_name><![CDATA[Suhora Technologies]]></author_name>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/suhora/clickhouse_connector/issues]]></tracker>
        <repository><![CDATA[https://github.com/suhora/clickhouse_connector]]></repository>
        <tags><![CDATA[python,qgis,clickhouse,clickhouse_plugin]]></tags>
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        <server>False</server>
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        <about><![CDATA[Find cultural heritage from OpenStreetMap and iDAI.Gazetteer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2024/greif_hLHo42M.png</icon>
        <author_name><![CDATA[German Archaeological Institute, csgis GbR.]]></author_name>
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        <deprecated>False</deprecated>
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        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[2023年全国50cm吉林一号影像拍摄日期查询]]></description>
        <about><![CDATA[你知道吗？只要你提供切片层级和经纬度坐标，就可以知道镶嵌底图是用的哪一天拍摄的了。更多信息访问毛毛De地理空间：https://gis.lreept.space]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LreeLenn/Jilin1Info-2023-]]></homepage>
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        <icon>/media/packages/2024/gis.lreept.space.png</icon>
        <author_name><![CDATA[lreept]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Jilin1Info-2023-/version/1.0/download/</download_url>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LreeLenn/Jilin1Info-2023-/issues]]></tracker>
        <repository><![CDATA[https://github.com/LreeLenn/Jilin1Info-2023-]]></repository>
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        <server>False</server>
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        <description><![CDATA[IntelliGeo is QGIS plugin that facilitates interaction with Large Language Models in QGIS environment.]]></description>
        <about><![CDATA[IntelliGeo is a QGIS plugin that leverages Large Language Models (LLMs) to automate geospatial workflows.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_D02aNZC.png</icon>
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        <download_url>https://plugins.qgis.org/plugins/intelli_geo/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[mahdi]]></uploaded_by>
        <create_date>2024-09-20T09:27:14.981687+00:00</create_date>
        <update_date>2025-05-29T08:23:17.584915+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/MahdiFarnaghi/Intelli_Geo/issues]]></tracker>
        <repository><![CDATA[https://github.com/MahdiFarnaghi/Intelli_Geo]]></repository>
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        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Polar plot of seasonal data]]></description>
        <about><![CDATA[Polar heatmap plots of seasonal / cyclic time series. Requires plotly and pandas.]]></about>
        <trusted>False</trusted>
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        <icon></icon>
        <author_name><![CDATA[Florian Neukirchen]]></author_name>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
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        <average_vote>0.0</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Official plugin for Oslandia customers]]></description>
        <about><![CDATA[The Oslandia plugin that gives access to our news, ideas, fun features and exclusive support services for our end-customers right into QGIS.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
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        <icon>/media/packages/2026/default_icon_xENlf4A.png</icon>
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        <deprecated>False</deprecated>
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        <average_vote>4.642525533890437</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Warning : France only! &lt;br/&gt;
This plugin allows to call IGN Geoplateforme API directly from elevation profile tool.]]></description>
        <about><![CDATA[IGN Geoplateforme altimetry service in QGIS!]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2024/vignette_gpf_alti_us1unVO.jpg</icon>
        <author_name><![CDATA[Nicolas GODET]]></author_name>
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        <deprecated>False</deprecated>
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        <repository><![CDATA[https://gitlab.com/isl-ingenierie/qgis/geopf-altimetrie/]]></repository>
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        <server>False</server>
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        <trusted>False</trusted>
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        <icon>/media/packages/2026/icon_lCer5xP.png</icon>
        <author_name><![CDATA[Federico Gianoli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/relazioniplugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[fritz4]]></uploaded_by>
        <create_date>2024-10-03T16:59:37.259612+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fgianoli/RelationshipManager/issues]]></tracker>
        <repository><![CDATA[https://github.com/fgianoli/RelationshipManager]]></repository>
        <tags><![CDATA[relationship,relation,1:n,project relations]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[The Spatial Analysis Agent is a user-friendly plugin that serves as a &quot;Copilot&quot; in QGIS software.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_teuFyIT.png</icon>
        <author_name><![CDATA[Temitope Akinboyewa, Zhenlong Li, Huan Ning, and M. Naser Lessani]]></author_name>
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        <uploaded_by><![CDATA[tea5209]]></uploaded_by>
        <create_date>2024-10-14T03:35:29.835364+00:00</create_date>
        <update_date>2024-10-14T03:35:33.220009+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Teakinboyewa/SpatialAnalysisAgent/issues]]></tracker>
        <repository><![CDATA[https://github.com/Teakinboyewa/SpatialAnalysisAgent]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>18602</downloads>
        <average_vote>4.696261509174006</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[Load Oasis Montaj GRD format grids]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>4.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_ez6m8xt.png</icon>
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        <deprecated>False</deprecated>
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        <trusted>False</trusted>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/foclair/eclair/issues]]></tracker>
        <repository><![CDATA[https://github.com/foclair/eclair]]></repository>
        <tags><![CDATA[python]]></tags>
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        <average_vote>4.499437570303712</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <trusted>False</trusted>
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        <icon>/media/packages/2024/icon_find_all.svg</icon>
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        <average_vote>0.0</average_vote>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Snowflake Connector for QGIS" version="0.8.2" plugin_id="3544">
        <description><![CDATA[This package includes the Snowflake Connector for QGIS.]]></description>
        <about><![CDATA[The Snowflake Connector for QGIS provides an interface for open-source GIS application QGIS that can connect to Snowflake and perform all standard operations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.1</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://docs.snowflake.com/en/sql-reference/functions-geospatial/]]></homepage>
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        <icon>/media/packages/2026/icon_urZWOYj.png</icon>
        <author_name><![CDATA[Snowflake Inc.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-snowflake-connector/version/0.8.2/download/</download_url>
        <uploaded_by><![CDATA[snow]]></uploaded_by>
        <create_date>2024-11-02T16:08:15.683295+00:00</create_date>
        <update_date>2024-11-03T12:28:07.655008+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/snowflakedb/qgis-snowflake-connector/issues/]]></tracker>
        <repository><![CDATA[https://github.com/snowflakedb/qgis-snowflake-connector/]]></repository>
        <tags><![CDATA[snowflake,data provider]]></tags>
        <downloads>4135</downloads>
        <average_vote>4.64678548320687</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PLU Versionning" version="0.4.0" plugin_id="3545">
        <description><![CDATA[Outil de suivi des versions de numérisation des documents d&#x27;urbanisme au format CNIG.]]></description>
        <about><![CDATA[Outil de suivi des versions de numérisation des documents d&#x27;urbanisme au format CNIG.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/plui-versionning]]></homepage>
        <file_name>plui_versionning.0.4.0.zip</file_name>
        <icon>/media/packages/2026/icon_BsA0JZJ.png</icon>
        <author_name><![CDATA[Bruno DEFRANCE, Éric VINOUZE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/plui_versionning/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2024-11-04T14:42:29.624625+00:00</create_date>
        <update_date>2026-04-16T10:03:26.789390+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/plui-versionning/-/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/plui-versionning]]></repository>
        <tags><![CDATA[database,france,french,urbanisme,plu]]></tags>
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        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Profile Manager" version="0.5.0-beta2" plugin_id="3547">
        <description><![CDATA[Makes handling profiles easy by giving you an UI to easily import settings from one profile to another]]></description>
        <about><![CDATA[A QGIS Plugin that provides an UI to easily manage your profiles and import various settings from one profile to another. Compatible with QGIS Deployment Toolbelt (QDT).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://WhereGroup.github.io/profile_manager/]]></homepage>
        <file_name>profile_manager.0.5.0-beta2.zip</file_name>
        <icon>/media/packages/2026/logo_profile_manager.svg</icon>
        <author_name><![CDATA[WhereGroup GmbH, Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/profile_manager/version/0.5.0-beta2/download/</download_url>
        <uploaded_by><![CDATA[jkroegerwg]]></uploaded_by>
        <create_date>2024-11-05T15:21:12.830241+00:00</create_date>
        <update_date>2024-11-05T15:21:16.224009+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WhereGroup/profile_manager/issues]]></tracker>
        <repository><![CDATA[https://github.com/WhereGroup/profile_manager/]]></repository>
        <tags><![CDATA[profiles,customization,manager,profilemanager,deployment,qdt]]></tags>
        <downloads>6270</downloads>
        <average_vote>4.635942187073903</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="InSAR Explorer" version="0.2.0" plugin_id="3551">
        <description><![CDATA[InSAR Explorer is a QGIS plugin that allows for dynamic visualization and analysis of InSAR time series data]]></description>
        <about><![CDATA[InSAR Explorer is a QGIS plugin designed for interactive visualization and analysis of InSAR time series results. With a user-friendly interface, it allows users to dynamically plot and explore ground displacement data over time. You can find the source code on GitHub (https://github.com/luhipi/insar-explorer). A sample shapefile containing time series data for testing the plugin is available on Zenodo (https://zenodo.org/records/14052813). Currently, vector data from SARvey, MintPy, MintPy, SARscape, and EGMS and raster data from GMTSAR and Mintpy are supported. Please refer to the documentation for more information about how to prepare the data (https://luhipi.github.io/insar-explorer/)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://luhipi.github.io/insar-explorer/]]></homepage>
        <file_name>insar_explorer-dev.0.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_s1yBNmD.png</icon>
        <author_name><![CDATA[Mahmud Haghighi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/insar_explorer-dev/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[mahmud]]></uploaded_by>
        <create_date>2024-11-06T15:56:19.809487+00:00</create_date>
        <update_date>2024-11-07T15:44:37.150473+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/luhipi/insar-explorer/issues]]></tracker>
        <repository><![CDATA[https://github.com/luhipi/insar-explorer]]></repository>
        <tags><![CDATA[displacement,time series,sentinel,plot,sentinel-1,deformation,terrasar-x,insar,sarvey,persistent scatterer,sbas,small baseline,psi,miaplpy,mintpy,egms,gmtsar,sarscape]]></tags>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geocoder CartoCiudad" version="1.0" plugin_id="3555">
        <description><![CDATA[CartoCiudad ofrece direcciones postales, topónimos, puntos de interés, poblaciones y límites administrativos de España]]></description>
        <about><![CDATA[A partir de la versión 2.0 el plugin solo estará disponible para versiones de QGIS 3.42.0 o superiores
Complemento de QGIS para la geolocalización y descarga de elementos de CartoCiudad basado en el servicio REST «Geocoder CartoCiudad»  (https://www.cartociudad.es/geocoder) que permite localizar objetos geográficos de España por identificadores geográficos y por coordenadas geográficas. Se pueden localizar los siguientes objetos geográficos:

  * Direcciones postales
  * Topónimos
  * Puntos de Interés
  * Unidades administrativas (Comunidades y ciudades autónomas, provincias y municipios)
  * Entidades de Población 
  * Códigos postales
  * Referencias catastrales (Servicios SOAP. Dirección General de Catastro)

La información que se devuelve puede ser puntual (portales, PK, códigos postales, puntos de interés, topónimos y referencias catastrales), lineal (viales) y superficial (unidades administrativas y entidades de población).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.9.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/PluginQGISCartociudad-main]]></homepage>
        <file_name>PluginQGISCartociudad-main.1.0.zip</file_name>
        <icon>/media/packages/2026/Logo_small_xbyWHTc.svg</icon>
        <author_name><![CDATA[Equipo CartoCiudad]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/PluginQGISCartociudad-main/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[cartociudad]]></uploaded_by>
        <create_date>2024-11-07T12:55:15.510660+00:00</create_date>
        <update_date>2024-11-07T12:55:20.471937+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IDEESpain/PluginQGISCartociudad/issues]]></tracker>
        <repository><![CDATA[https://github.com/IDEESpain/PluginQGISCartociudad]]></repository>
        <tags><![CDATA[find,api,reverse,geocoder,españa,locator,rest,buscador,direcciones,cartociudad,candidates,municipios,localizacion,poblaciones,ccpp]]></tags>
        <downloads>4813</downloads>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="otsusmethod" version="0.1" plugin_id="3576">
        <description><![CDATA[This plugin applies Otsu&#x27;s method for automated thresholding and segmentation of raster data.]]></description>
        <about><![CDATA[This QGIS plugin provides a streamlined tool for performing automated thresholding on raster datasets using Otsu&#x27;s method. The plugin reads raster data, converts it to greyscale, and applies Otsu’s algorithm to compute an optimal threshold, creating binary output for clearer visual distinction of segmented areas. Additionally, it offers a visual report that includes the original RGB image, greyscale image, binary thresholded image, and a histogram with the calculated threshold marked.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FloEll/OtsusMethod]]></homepage>
        <file_name>otsusmethod.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_IS2e04q.png</icon>
        <author_name><![CDATA[Florian J. Ellsäßer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/otsusmethod/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[floell]]></uploaded_by>
        <create_date>2024-11-15T16:32:54.562547+00:00</create_date>
        <update_date>2024-11-15T16:32:56.115864+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FloEll/OtsusMethod/issues]]></tracker>
        <repository><![CDATA[https://github.com/FloEll/OtsusMethod]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1685</downloads>
        <average_vote>4.749406324209474</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EasyDEM" version="0.2" plugin_id="3579">
        <description><![CDATA[Get Digital Elevation Model (DEM) datasets from multiple sources with Google Earth Engine API and load it as raster layer.]]></description>
        <about><![CDATA[Digital Elevation Model (DEM) datasets from multiple sources with Google Earth Engine API and load it as raster layer, compare different datasets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://caioarantes.github.io/EasyDEM]]></homepage>
        <file_name>qgis-EasyDEM-plugin.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_5RNDANY.png</icon>
        <author_name><![CDATA[Caio Arantes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis-EasyDEM-plugin/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[caioarantes]]></uploaded_by>
        <create_date>2024-11-15T23:13:56.135490+00:00</create_date>
        <update_date>2024-11-19T13:41:14.057613+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/caioarantes/EasyDEM/issues]]></tracker>
        <repository><![CDATA[https://github.com/caioarantes/EasyDEM]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>23973</downloads>
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        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Water Network Tools for Resilience (WNTR) Integration" version="0.3.0" plugin_id="3581">
        <description><![CDATA[A QGIS Plugin for the WNTR (EPANET) piped water network modelling package. For creating water network models and visualisation of simulation results within QGIS.]]></description>
        <about><![CDATA[&lt;p&gt;A plugin for doing all aspects of piped water networks analysis directly within QGIS. This includes the creation of the model, the simulation and the visualisation of results.&lt;/p&gt;&lt;p&gt;It is compatible with and import/exports to, EPANET. It uses the EPANET solver by default.&lt;/p&gt;&lt;p&gt;Compared to other QGIS water network modelling plugins, this plugin aims to be:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Easy to use. Accessible for those who know how to use QGIS. Well documented, good defaults, clear functionality.&lt;/li&gt;&lt;li&gt;Integrate the power of QGIS and WNTR. It aims to completement rather than replace features already within QGIS. Data can be manipulated with the standard QGIS tools, processing algorithms, and plugins.&lt;/li&gt;&lt;li&gt;Robust. Limited, well tested features.&lt;/li&gt;&lt;li&gt;lexible. Not choosy about how you do things.&lt;/li&gt;&lt;li&gt;Automatable / programmable. Tools can be used in the QGIS &#x27;model builder&#x27; or from  PyQGIS&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;If not already installed, the plugin will automatically downloand WNTR from PyPi and unpack it into the plugin&#x27;s install directory. For a complete install and usage guide see the homepage link.&lt;/p&gt;]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://angusmcb.com/wntr-qgis/]]></homepage>
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        <icon>/media/packages/2025/logo_4vt7rDv.svg</icon>
        <author_name><![CDATA[Angus McBride]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wntrqgis/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[angusmcb]]></uploaded_by>
        <create_date>2024-11-17T18:16:40.691744+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>True</deprecated>
        <tracker><![CDATA[https://github.com/angusmcb/wntr-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/angusmcb/wntr-qgis]]></repository>
        <tags><![CDATA[water,epanet,hydraulics,water network analysis]]></tags>
        <downloads>4000</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="qCEPHEE" version="0.1" plugin_id="3582">
        <description><![CDATA[Plugin QGIS for CEPHEE]]></description>
        <about><![CDATA[qCEPHEE (QGIS for CEPHEE). For dependencies installation, look at the documentation (install.rst)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://cephee.readthedocs.io/en/latest/]]></homepage>
        <file_name>CEPHEE.0.1.zip</file_name>
        <icon>/media/packages/2025/logo_dh16LWL.png</icon>
        <author_name><![CDATA[Pierre Horgue, Ludovic Cassan (Toulouse INP, IMFT and CERFACS)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CEPHEE/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[phorgue]]></uploaded_by>
        <create_date>2024-11-19T08:23:35.252464+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/ludoviccassanCerfacs/cephee/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/ludoviccassanCerfacs/cephee]]></repository>
        <tags><![CDATA[flood,hydraulic modelling,river,telemac,telemac-mascaret,opentelemac]]></tags>
        <downloads>1446</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Arches Project" version="1.0.a2" plugin_id="3584">
        <description><![CDATA[A plugin that links QGIS to an Arches project.]]></description>
        <about><![CDATA[A QGIS plugin for integration and data management with an Arches project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/archesproject/arches-qgis]]></homepage>
        <file_name>arches_project.1.0.a2.zip</file_name>
        <icon>/media/packages/2026/arches.png</icon>
        <author_name><![CDATA[Knowledge Integration]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arches_project/version/1.0.a2/download/</download_url>
        <uploaded_by><![CDATA[archesproject]]></uploaded_by>
        <create_date>2024-11-19T21:57:20.241668+00:00</create_date>
        <update_date>2025-11-11T22:35:30.632402+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/archesproject/arches-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/archesproject/arches-qgis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1240</downloads>
        <average_vote>4.832527912014664</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="BROnodig" version="0.2.1" plugin_id="3585">
        <description><![CDATA[Plugin om BRO data te downloaden en plotten]]></description>
        <about><![CDATA[Deze plugin maakt het eenvoudig om geotechnische sonderingen en boringen via QGIS in te zien of downloaden. Locaties zijn beschikbaar via https://service.pdok.nl/bzk/bro-geotechnischbooronderzoek/wms/v1_0 en https://service.pdok.nl/bzk/brocptkenset/wms/v1_0]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ic144/bronodig]]></homepage>
        <file_name>bronodig.0.2.1.zip</file_name>
        <icon>/media/packages/2025/icon_QmswWdP.png</icon>
        <author_name><![CDATA[Thomas van der Linden]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bronodig/version/0.2.1/download/</download_url>
        <uploaded_by><![CDATA[thomasvdl]]></uploaded_by>
        <create_date>2024-11-20T16:20:55.667658+00:00</create_date>
        <update_date>2024-11-23T13:31:29.524794+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ic144/bronodig/issues]]></tracker>
        <repository><![CDATA[https://github.com/ic144/bronodig]]></repository>
        <tags><![CDATA[python,ondergrond,basisregistratie,geotechniek,cpt,boring,sondering,lengteprofiel]]></tags>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Projection Factors Redux" version="0.9.1" plugin_id="3588">
        <description><![CDATA[Calculates various cartographic projection properties as a raster layer]]></description>
        <about><![CDATA[Calculates various cartographic projection properties as a raster layer, such as scales, scale factors, angular distortion and meridian convergence. A raster band is created per property.&lt;br&gt;
This uses PROJ&#x27;s &lt;a href=&quot;https://proj.org/en/latest/development/reference/functions.html#c.proj_factors&quot;&gt;proj_factors&lt;/a&gt; function which is exposed by QGIS&#x27; &lt;a href=&quot;https://qgis.org/pyqgis/3.20/core/QgsCoordinateReferenceSystem.html#qgis.core.QgsCoordinateReferenceSystem.factors&quot;&gt;QgsCoordinateReferenceSystem API&lt;/a&gt; since 3.20.&lt;br&gt;
For more information on the properties themselves, please consult the &lt;a href=&quot;https://proj.org/en/latest/development/reference/datatypes.html#c.PJ_FACTORS&quot;&gt;PROJ documentation&lt;/a&gt;.&lt;br&gt;
This has not been thoroughly tested and should not be used for analytical purposes yet. Surely there are some errors. If you know that this all works fine, please contact the author.
Inspired by https://plugins.qgis.org/plugins/ProjFactors-gh-pages/]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/kannes/proj_factors_redux]]></homepage>
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        <icon>/media/packages/2024/icon_aetXgk9.png</icon>
        <author_name><![CDATA[Johannes Kröger]]></author_name>
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        <uploaded_by><![CDATA[kthujvu]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/kannes/proj_factors_redux/issues]]></tracker>
        <repository><![CDATA[https://github.com/kannes/proj_factors_redux]]></repository>
        <tags><![CDATA[python,projection,cartography,proj]]></tags>
        <downloads>598</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SGTool" version="0.2.9" plugin_id="3595">
        <description><![CDATA[Simple Potential Field Processing]]></description>
        <about><![CDATA[Simple Potential Field Processing using FFT grid filters, e.g. RTP, 1VD, Band Pass, Analytic Signal, Upward Continuation, worms etc.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.24.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/swaxi/SGTool]]></homepage>
        <file_name>sgtool.0.2.9.zip</file_name>
        <icon>/media/packages/2026/icon_hQRgEY1.png</icon>
        <author_name><![CDATA[Mark Jessell]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sgtool/version/0.2.9/download/</download_url>
        <uploaded_by><![CDATA[markjessell]]></uploaded_by>
        <create_date>2024-11-25T04:33:55.144976+00:00</create_date>
        <update_date>2025-02-12T06:36:18.264377+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/swaxi/SGTool/issues]]></tracker>
        <repository><![CDATA[https://github.com/swaxi/SGTool]]></repository>
        <tags><![CDATA[python,geophysics,filters,magnetics,gravity]]></tags>
        <downloads>8765</downloads>
        <average_vote>4.922698253980463</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Movement Analysis" version="0.1.2" plugin_id="3598">
        <description><![CDATA[Toolbox for raster based movement analysis: least-cost path, accumulated cost surface, accessibility.]]></description>
        <about><![CDATA[The Movement Analysis plugin features raster based algorithms such as accumulated cost surface, least cost path and accumulated paths. The calculations are based on Scikit Image library, which should be installed in QGIS Python. This library enables rapid calculations on large datasets.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/zoran-cuckovic/QGIS-movement-analysis/]]></homepage>
        <file_name>movement_analysis.0.1.2.zip</file_name>
        <icon>/media/packages/2025/icon_KpqGO5V.png</icon>
        <author_name><![CDATA[Zoran Čučković]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/movement_analysis/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[zoran14]]></uploaded_by>
        <create_date>2024-11-25T17:25:36.640999+00:00</create_date>
        <update_date>2025-07-11T09:53:47.504825+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zoran-cuckovic/QGIS-movement-analysis/issues]]></tracker>
        <repository><![CDATA[https://github.com/zoran-cuckovic/QGIS-movement-analysis/]]></repository>
        <tags><![CDATA[raster,accumulated cost surface,least-cost path]]></tags>
        <downloads>1401</downloads>
        <average_vote>4.665889018496917</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Not-So-QT-DEM" version="0.1.2" plugin_id="3604">
        <description><![CDATA[TauDEM 5.3 processing provider]]></description>
        <about><![CDATA[A processing provider for Terrain Analysis Using Digital Elevation Models (TauDEM) version 5.3 (Windows only) &lt;u&gt;https://hydrology.usu.edu/taudem/taudem5/&lt;/u&gt;&lt;br&gt;This plugin requires downloading and installing the TauDEM tools manually &lt;u&gt;https://hydrology.usu.edu/taudem/taudem5/downloads.html&lt;/u&gt;.&lt;br&gt;Executable paths on QGIS default to the defaults of the TauDEM installer. If you changed the install paths, make sure you do the same for this plugin from QGIS processing settings.&lt;br&gt;&lt;br&gt;&lt;i&gt;Disclaimer: This plugin is not affiliated with the TauDEM project.&lt;/i&gt;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://codeberg.org/Shihab-E/Not-So-QT-DEM]]></homepage>
        <file_name>nsq_taudem.0.1.2.zip</file_name>
        <icon>/media/packages/2025/logo_dXVtien.png</icon>
        <author_name><![CDATA[Shihab E.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nsq_taudem/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[shihab]]></uploaded_by>
        <create_date>2024-11-26T18:35:50.219836+00:00</create_date>
        <update_date>2025-04-14T08:40:39.907638+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://codeberg.org/Shihab-E/Not-So-QT-DEM/issues]]></tracker>
        <repository><![CDATA[https://codeberg.org/Shihab-E/Not-So-QT-DEM]]></repository>
        <tags><![CDATA[python,hydrology,processing,watershed analysis,terrain analysis,taudem]]></tags>
        <downloads>2310</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[This plugin groups polygons together.]]></description>
        <about><![CDATA[This plugin groups polygons together.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gudmandras/VGLE/wiki]]></homepage>
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        <icon>/media/packages/2024/icon_XF16ObT.png</icon>
        <author_name><![CDATA[GOPA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/polygon_grouper/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[gudmandras]]></uploaded_by>
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        <update_date>2024-11-27T20:47:15.552764+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gudmandras/VGLE/issues]]></tracker>
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        <tags><![CDATA[python]]></tags>
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        <average_vote>0.0</average_vote>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Surface Water Storage" version="0.2" plugin_id="3620">
        <description><![CDATA[This plugin generates the inundation area and elevation-area-volume graph for an area.]]></description>
        <about><![CDATA[This plugin aims to study surface water storage, for large lakes and reservoirs, among others. It does this through two tools: calculating how the stored water occupies the area (by generating the inundation area polygon), and calculating the area-volume-elevation relationship for the area.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-surface-water-storage]]></homepage>
        <file_name>surface_water_storage.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_Ny8aU9K.png</icon>
        <author_name><![CDATA[João Vitor Pimenta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/surface_water_storage/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[pimenta]]></uploaded_by>
        <create_date>2024-12-01T04:30:07.403837+00:00</create_date>
        <update_date>2024-12-05T20:53:36.344631+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-surface-water-storage/issues]]></tracker>
        <repository><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-surface-water-storage]]></repository>
        <tags><![CDATA[python,water,flood,elevation,area,graph,storage,volume,reservoir,lake,inundation,flooded,capacity]]></tags>
        <downloads>6474</downloads>
        <average_vote>4.9998214349487515</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Territory Analysis" version="1.0" plugin_id="3621">
        <description><![CDATA[This is an example of a plugin for creating an automated report on a comprehensive analysis of the territory using remote sensing data.]]></description>
        <about><![CDATA[The plugin uses remote sensing data, which is followed by an automated calculation of vegetation indices NDVI, EVI, GNDVI, CVI for their further analysis and the creation of relevant reports based on it.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/VBwork/QGIS-Plugin]]></homepage>
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        <author_name><![CDATA[Vladyslav Borodatiuk]]></author_name>
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        <uploaded_by><![CDATA[vladyslavborodatiuk]]></uploaded_by>
        <create_date>2024-12-01T07:01:10.363533+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
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        <average_vote>4.691946773325129</average_vote>
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        <server>False</server>
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        <about><![CDATA[This plugin is a viewer that supports visualization of OpenDRIVE map files (*.xodr).
It has been developed using the OpenDRIVE 1.8.1 specification.

This QGIS plugin requires several Python dependencies to be installed.
Refer to https://github.com/Danaozhong/odrviewer for instructions on how
to install them.

Some code has been taken from https://github.com/driskai/pyxodr published under the MIT license.]]></about>
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        <homepage><![CDATA[https://clemenszangl.de]]></homepage>
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        <icon></icon>
        <author_name><![CDATA[Clemens Zangl]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/odrviewer/version/0.0.2/download/</download_url>
        <uploaded_by><![CDATA[icefire]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Danaozhong/odrviewer/issues]]></tracker>
        <repository><![CDATA[https://github.com/Danaozhong/odrviewer]]></repository>
        <tags><![CDATA[automotive,adas,opendrive]]></tags>
        <downloads>1257</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2026/mIconExpression.svg</icon>
        <author_name><![CDATA[Alexandre Parente Lima]]></author_name>
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        <uploaded_by><![CDATA[alexandreparente]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/alexandreparente/VariablePanel/issues]]></tracker>
        <repository><![CDATA[https://github.com/alexandreparente/VariablePanel]]></repository>
        <tags><![CDATA[project,dock,panel,variables]]></tags>
        <downloads>2457</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EODH Workflows" version="0.0.8" plugin_id="3645">
        <description><![CDATA[Access and run workflows on the EODH]]></description>
        <about><![CDATA[Access and run workflows on the EODH. The EODH is a climate and Earth Observation Hub and processing platform.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/EO-DataHub/eodh-qgis]]></homepage>
        <file_name>eodh_qgis.0.0.8.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Oxidian]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/eodh_qgis/version/0.0.8/download/</download_url>
        <uploaded_by><![CDATA[figi44]]></uploaded_by>
        <create_date>2024-12-12T23:21:49.343163+00:00</create_date>
        <update_date>2025-02-21T16:17:57.790835+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/EO-DataHub/eodh-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/EO-DataHub/eodh-qgis]]></repository>
        <tags><![CDATA[climate,earth observation,cwl]]></tags>
        <downloads>2739</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QuODK" version="1.2" plugin_id="3646">
        <description><![CDATA[A bridge between ODK Central data and QGIS for loading ODK submissions and managing entities]]></description>
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        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_8Mz7nYG.png</icon>
        <author_name><![CDATA[Walking-the-Talk]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/quodk/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[seewhy]]></uploaded_by>
        <create_date>2024-12-13T19:37:42.318555+00:00</create_date>
        <update_date>2025-05-02T19:42:43.855130+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://github.com/walking-the-talk/quodk/issues]]></tracker>
        <repository><![CDATA[http://github.com/walking-the-talk/quodk]]></repository>
        <tags><![CDATA[python,api,odk]]></tags>
        <downloads>2056</downloads>
        <average_vote>0.9990009990009991</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Transport accessibility maps]]></description>
        <about><![CDATA[Calculation of potential transit and car accessibility at a resolution of a single building.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.1.1</qgis_minimum_version>
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        <homepage><![CDATA[https://github.com/ishusterman/tau_net_calc]]></homepage>
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        <icon></icon>
        <author_name><![CDATA[Igor Shusterman, Aleksey Ogulenko, Itzhak Benenson]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tau_net_calc/version/6.3/download/</download_url>
        <uploaded_by><![CDATA[ishusterman]]></uploaded_by>
        <create_date>2024-12-17T06:35:11.661633+00:00</create_date>
        <update_date>2026-01-30T15:06:01.376053+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ishusterman/tau_net_calc]]></tracker>
        <repository><![CDATA[https://github.com/ishusterman/tau_net_calc]]></repository>
        <tags><![CDATA[gtfs,hexagon,&quot;transportation planning&quot;,&quot;dijkstra algorithm&quot;,&quot;raptor algorithm&quot;,&quot;voronoi polygon&quot;,&quot;transport accessibility&quot;,&quot;service area&quot;,&quot;accessibility map&quot;,&quot;transit accessibility&quot;,&quot;car accessibility&quot;,&quot;public transport&quot;]]></tags>
        <downloads>14871</downloads>
        <average_vote>4.738924394591539</average_vote>
        <rating_votes>23</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Osm Map Matching" version="1.0" plugin_id="3649">
        <description><![CDATA[Plugin aligning route points with OpenStreetMap roads, including OSM fields]]></description>
        <about><![CDATA[This plugin takes a vector layer of points that defines a route and creates a line layer that aligns this route with roads, streets, or paths from OpenStreetMap.

The fields in the original OpenStreetMap data are applied to the lines in the output layer.

Requires python modules networkx, geophy and heapq]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/glucawork/osm_map_matching]]></homepage>
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        <icon>/media/packages/2025/icon_u64T8Rp.png</icon>
        <author_name><![CDATA[Gianluca Rossi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/osm_map_matching/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[gluca]]></uploaded_by>
        <create_date>2024-12-17T12:34:46.065539+00:00</create_date>
        <update_date>2024-12-17T12:34:47.804733+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/glucawork/osm_map_matching/issues]]></tracker>
        <repository><![CDATA[https://github.com/glucawork/osm_map_matching]]></repository>
        <tags><![CDATA[routing,openstreetmap,map matching,gps track,route matching]]></tags>
        <downloads>21185</downloads>
        <average_vote>4.106996178707903</average_vote>
        <rating_votes>28</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HVLSP merge packages" version="1.0.0" plugin_id="3652">
        <description><![CDATA[This plugin merges high-value large-scale Geopackage files provided by the Open maps for Europe 2 (OME2) project.]]></description>
        <about><![CDATA[The Open Maps for Europe 2 (OME2) project aims at providing a high-value large-scale dataset, which can be downloaded as geopackages covering countries or regions. This plugin, developed by IGN-France on behalf of the OME2 project, aims at merging such gpkg files in order to get one seamless geopackage. OME2 has received funding from the European Union’s Digital Europe programme under grant agreement No 101100625.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/openmapsforeurope2/hvlsp_merge_packages/blob/main/README.md]]></homepage>
        <file_name>hvlsp_merge_packages.1.0.0.zip</file_name>
        <icon>/media/packages/2024/ome2_logo_coupe.png</icon>
        <author_name><![CDATA[IGN]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hvlsp_merge_packages/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[ngremeaux]]></uploaded_by>
        <create_date>2024-12-20T09:09:49.599420+00:00</create_date>
        <update_date>2024-12-20T09:09:51.052802+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/openmapsforeurope2/hvlsp_merge_packages/issues]]></tracker>
        <repository><![CDATA[https://github.com/openmapsforeurope2/hvlsp_merge_packages]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>348</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CityForge" version="1.1.0" plugin_id="3654">
        <description><![CDATA[CityForge is a QGIS plugin for reconstructing 3D buildings from footprint and point cloud into CityJSON files.]]></description>
        <about><![CDATA[3D buildings reconstruction from footprint and point cloud.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>4.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/cityforge/]]></homepage>
        <file_name>CityForge.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_CYU9d8w.png</icon>
        <author_name><![CDATA[Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CityForge/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2024-12-20T14:19:14.923080+00:00</create_date>
        <update_date>2025-11-05T11:19:33.996445+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/cityforge/-/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/cityforge/]]></repository>
        <tags><![CDATA[buildings,3d,point cloud,laz,las,cityjson]]></tags>
        <downloads>1954</downloads>
        <average_vote>4.4541405326788475</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geosimulation Land Changes" version="0.2" plugin_id="3655">
        <description><![CDATA[This plugin is a tool used in spatial modeling to predict changes in land cover or land use]]></description>
        <about><![CDATA[Plugin Geosimulation Land Changes is a tool used in spatial modeling to predict changes in land cover or land use. In the context of land cover prediction, this plugin applies the principles of Cellular Automata Markov Chain, which is a grid-based dynamic system, where each cell on the grid represents a certain unit of space and has a certain status (e.g. forest, settlement, farmland). Each cell will change its state according to certain rules based on the state of the surrounding cells or its neighbors. This plugin helps in performing predictive modeling that provides more realistic outputs.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Tedyselan/GLC-Geosimulation-Land-Changes-QGIS-Plugin.git]]></homepage>
        <file_name>geosimulation_land_changes.0.2.zip</file_name>
        <icon>/media/packages/2025/plugin_icon_ZUQr6xO.png</icon>
        <author_name><![CDATA[Albertus Deliar, Ananda Diva Victorya Gunawan, Elnurmas Zaetun Faesyari, Riki Purnama, Tedy Imanuel Selan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geosimulation_land_changes/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[albert3101]]></uploaded_by>
        <create_date>2024-12-21T17:05:51.205420+00:00</create_date>
        <update_date>2025-07-03T07:41:07.084634+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Tedyselan/GLC-Geosimulation-Land-Changes-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Tedyselan/GLC-Geosimulation-Land-Changes-QGIS-Plugin.git]]></repository>
        <tags><![CDATA[spatial modeling,geosimulation,cellular automata,markov chain,land use/land cover prediction]]></tags>
        <downloads>896</downloads>
        <average_vote>4.599080183963207</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="French Point Elevation" version="1.0.0" plugin_id="3666">
        <description><![CDATA[Récupère l&#x27;altitude à partir du RGE ALTI® (IGN, FRANCE)]]></description>
        <about><![CDATA[Ce plugin permet de récupérer l&#x27;altitude d&#x27;une couche de point existante ou en cliquant sur le canvas carte via les services de la Géoplateforme de calcul altimétrique fournis par l&#x27;IGN.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/dpitaval/French-Point-Elevation]]></homepage>
        <file_name>french_point_elevation.1.0.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[David Pitaval]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/french_point_elevation/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[doubleclick]]></uploaded_by>
        <create_date>2024-12-30T07:42:59.694524+00:00</create_date>
        <update_date>2024-12-30T07:43:02.085409+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/dpitaval/French-Point-Elevation/issues]]></tracker>
        <repository><![CDATA[https://github.com/dpitaval/French-Point-Elevation]]></repository>
        <tags><![CDATA[elevation,france,rge alti®,altitude]]></tags>
        <downloads>2830</downloads>
        <average_vote>4.777246972558605</average_vote>
        <rating_votes>9</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ahp_application" version="0.1" plugin_id="3670">
        <description><![CDATA[This QGIS plugin implements the Analytic Hierarchy Process (AHP) for suitability analysis]]></description>
        <about><![CDATA[This QGIS plugin implements the Analytic Hierarchy Process (AHP) for suitability analysis, enabling users to evaluate and identify optimal locations based on multiple criteria. It provides an intuitive interface for integrating diverse input types like DEM files, climate data, and vector files for proximity analysis, making complex spatial decisions more accessible. The plugin also features a powerful reclassification tool, pairwise comparison functionality, and the ability to set restricted zones that cannot be compensated by any other criteria, ensuring more precise and flexible spatial decision-making. &lt;br&gt;&lt;br&gt;Whether you&#x27;re conducting environmental studies, urban planning, or resource management, the QGIS AHP Extension simplifies the decision-making process by providing clear, actionable insights. With a user-friendly interface and the flexibility to adjust for different use cases, this plugin empowers users to integrate expert judgment with spatial data in a structured and repeatable manner.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/banbar/QGIS_AHP]]></homepage>
        <file_name>ahp.0.1.zip</file_name>
        <icon>/media/packages/2025/logo.png</icon>
        <author_name><![CDATA[Pelin Evcimen, Tolga Evcimen, Berk Anbaroğlu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ahp/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[banbar]]></uploaded_by>
        <create_date>2025-01-05T19:07:40.740535+00:00</create_date>
        <update_date>2025-01-05T19:07:42.360543+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/banbar/QGIS_AHP/issues]]></tracker>
        <repository><![CDATA[https://github.com/banbar/QGIS_AHP]]></repository>
        <tags><![CDATA[python,ahp,agriculture,planning,suitability analysis,mcdm]]></tags>
        <downloads>1654</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Stara Maps" version="1.2.4" plugin_id="3673">
        <description><![CDATA[Plugin para organizar arquivos de agricultura de precisão, facilitando a organização de mapas e arquivos em geral.]]></description>
        <about><![CDATA[Provide a brief description of the plugin and its purpose.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://stara.com.br]]></homepage>
        <file_name>staramaps.1.2.4.zip</file_name>
        <icon>/media/packages/2025/Stara_Logo.png</icon>
        <author_name><![CDATA[Stara]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/staramaps/version/1.2.4/download/</download_url>
        <uploaded_by><![CDATA[stara]]></uploaded_by>
        <create_date>2025-01-07T19:09:24.834195+00:00</create_date>
        <update_date>2026-03-03T18:41:52.466626+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[http://stara.com.br/]]></tracker>
        <repository><![CDATA[https://github.com/EngAplicacaoStara/StaraMaps.git]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>1030</downloads>
        <average_vote>4.9995833680526625</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="WQICalculator" version="0.1" plugin_id="3695">
        <description><![CDATA[A QGIS plugin that automatically generates the Water Quality Index (WQI) using raster data.]]></description>
        <about><![CDATA[A QGIS plugin that automatically generates the Water Quality Index (WQI) using raster data of multiple physicochemical parameters. Simplify your analysis and gain valuable insights into water quality of a given zone with just a few clicks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcelomolas/wqi_calculator]]></homepage>
        <file_name>wqi_calculator.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_mRfjZWB.png</icon>
        <author_name><![CDATA[Carin Martinez; Marcelo Molas]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/wqi_calculator/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[marcelomolas]]></uploaded_by>
        <create_date>2025-01-22T00:17:24.107365+00:00</create_date>
        <update_date>2025-01-22T00:17:26.879072+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcelomolas/wqi_calculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcelomolas/wqi_calculator]]></repository>
        <tags><![CDATA[python,analysis,water,quality,wqi]]></tags>
        <downloads>2544</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TeamArea Creator" version="v0.2" plugin_id="3698">
        <description><![CDATA[Create 3 Layers for each Team, Collecting Things like garbage and trace their route. Export collectionMarks to Excel.]]></description>
        <about><![CDATA[Create 3 Layers for each Team, Collecting Things like garbage and trace their route. Export collectionMarks to Excel]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Me-xx/QGISTeamZones]]></homepage>
        <file_name>team_zones.v0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[DaMo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/team_zones/version/v0.2/download/</download_url>
        <uploaded_by><![CDATA[mexx]]></uploaded_by>
        <create_date>2025-01-22T20:51:40.428434+00:00</create_date>
        <update_date>2025-01-29T09:49:37.097630+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Me-xx/QGISTeamZones/issues]]></tracker>
        <repository><![CDATA[https://github.com/Me-xx/QGISTeamZones/tree/main]]></repository>
        <tags><![CDATA[cloud,field,windows,qfield,fieldwork,qfieldcloud,linux,simple,collaborative]]></tags>
        <downloads>1832</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer CRS Shifter" version="0.1" plugin_id="3702">
        <description><![CDATA[Coordinate System Shift for Layer]]></description>
        <about><![CDATA[Layer CRS Shifter is a handy tool developed for visual alignment of vector, raster layers and basemaps. The plugin allows you to create an alternative coordinate system for a layer with the ability to shift it by a specified distance along the X and Y axes.

Main features:
- Supports different types of layers: raster images, raster tiles (XYZ, WMTS), vector layers, vector tiles, WMS, WFS.
- Works with all metric coordinate systems, excluding geographic.
- Shifts the layer without modifying the original data.
- Allows you to return the layer to its original position.

The plugin is useful for:
- Visual analysis of cartographic data.
- Approximate alignment of layers created in different coordinate systems.
- Thematic mapping and visualization.

Features:
- Simple and intuitive interface for precise shift settings.
- High precision of work, minimum shift step 1cm

The plugin was developed within the &quot;Open spatial planning tools for Ukraine&quot; project.
Find us in the JD Help chat on Telegram: https://t.me/+eq7gtxjTXYBjZmUy]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/brych92/LayerShifter]]></homepage>
        <file_name>layer_shifter.0.1.zip</file_name>
        <icon>/media/packages/2025/pl_icon.png</icon>
        <author_name><![CDATA[Стьопа]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer_shifter/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[brych92]]></uploaded_by>
        <create_date>2025-01-26T20:29:41.333681+00:00</create_date>
        <update_date>2025-01-26T20:29:44.066958+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/brych92/LayerShifter/issues]]></tracker>
        <repository><![CDATA[https://github.com/brych92/LayerShifter]]></repository>
        <tags><![CDATA[layer,crs,mapping,spatial analysis,cartography,visualization,coordinate system,shift,align,displace]]></tags>
        <downloads>923</downloads>
        <average_vote>3.713755177831738</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Reverse" version="1.0" plugin_id="3705">
        <description><![CDATA[Reverse order of highlighted layers]]></description>
        <about><![CDATA[Reverse order of highlighted layers]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mercerraa.github.io/]]></homepage>
        <file_name>layer_reverse.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Andrew Mercer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer_reverse/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[mercerraa]]></uploaded_by>
        <create_date>2025-01-27T08:00:26.957908+00:00</create_date>
        <update_date>2025-01-27T08:00:29.235205+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mercerraa/layer_reverse/issues]]></tracker>
        <repository><![CDATA[https://github.com/mercerraa/layer_reverse]]></repository>
        <tags><![CDATA[layers,contents]]></tags>
        <downloads>751</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QSFCGAL" version="0.4.1" plugin_id="3707">
        <description><![CDATA[This plugin integrates SFCGAL functions into the QGIS Processing toolbox and expressions for advanced spatial analysis.]]></description>
        <about><![CDATA[Implementing the SFCGAL library in a QGIS plugin using the pysfcgal wrapper.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://sfcgal.gitlab.io/qsfcgal]]></homepage>
        <file_name>qsfcgal.0.4.1.zip</file_name>
        <icon>/media/packages/2026/sfcgal.png</icon>
        <author_name><![CDATA[Oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qsfcgal/version/0.4.1/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2025-01-28T08:52:28.134259+00:00</create_date>
        <update_date>2026-03-12T16:02:26.793066+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/sfcgal/qsfcgal/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/sfcgal/qsfcgal]]></repository>
        <tags><![CDATA[postgis,processing,sfcgal]]></tags>
        <downloads>1972</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Planet Sandbox Plugin" version="0.1.0" plugin_id="3709">
        <description><![CDATA[Plugin to explore Planet&#x27;s Sandbox data from the Planet Insights Platform. Right now it only displays a single layer, but makes it easy to see where the data is. This plugin will expand functionality in future versions.]]></description>
        <about><![CDATA[This plugin helps view Planet&#x27;s sandbox data by downloading and displaying GeoJSON from Planet&#x27;s sandbox.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cholmes/planet-sandbox-qgis-plugin]]></homepage>
        <file_name>planet_sandbox_plugin.0.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Chris Holmes]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/planet_sandbox_plugin/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[cholmes]]></uploaded_by>
        <create_date>2025-01-29T22:34:15.347807+00:00</create_date>
        <update_date>2025-01-29T22:34:18.766825+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cholmes/planet-sandbox-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/cholmes/planet-sandbox-qgis-plugin]]></repository>
        <tags><![CDATA[geojson,planet,sandbox]]></tags>
        <downloads>485</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Transliterator" version="1.0" plugin_id="3713">
        <description><![CDATA[A plugin to transliterate Georgian script to Latin.]]></description>
        <about><![CDATA[Script recognizes Georgian alphabet and transliterates it to latin in new field, the given field is ready for Georgian fonts.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://ezdanapak.github.io/transliterator/]]></homepage>
        <file_name>transliterator_plugin.1.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Giorgi Kapanadze]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/transliterator_plugin/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[kapanadze]]></uploaded_by>
        <create_date>2025-01-30T15:06:44.592810+00:00</create_date>
        <update_date>2025-01-30T15:06:46.918161+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ezdanapak/transliterator/issues]]></tracker>
        <repository><![CDATA[https://github.com/ezdanapak/transliterator]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>528</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GBIF Extractor" version="0.2.4" plugin_id="3714">
        <description><![CDATA[Based on an extent, the user can download GBIF data.]]></description>
        <about><![CDATA[This plugin allows to download GBIF data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://julesgrillot.frama.io/plugin_gbif_extractor/]]></homepage>
        <file_name>gbif_extractor.0.2.4.zip</file_name>
        <icon>/media/packages/2026/default_icon_pp4Qezk.png</icon>
        <author_name><![CDATA[Jules GRILLOT]]></author_name>
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        <experimental>True</experimental>
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        <repository><![CDATA[https://framagit.org/JulesGrillot/plugin_gbif_extractor]]></repository>
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        <description><![CDATA[Add to QGIS capability to compute topographical survey with data fom field recorder]]></description>
        <about><![CDATA[Add to QGIS capability to compute topographical survey with data fom field recorder]]></about>
        <trusted>False</trusted>
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It enables users to interactively explore local or remote georeferenced images, extract image chips, and engage in AI-assisted conversations about their content.

The plugin provides tools to select, extract, and track image regions, maintaining a structured record of interactions in GeoJSON format.

Whether you&#x27;re a remote sensing analyst, geospatial researcher, or GIS enthusiast, LibreGeoLens empowers you to explore how to leverage frontier AI models for geospatial imagery directly within QGIS.

See a demo here: https://github.com/ampsight/LibreGeoLens?tab=readme-ov-file#demo

After you install this plugin, you might get an error about external Python dependencies. Try restarting QGIS and if that does not solve the issue, you&#x27;ll need to install them manually by following https://github.com/ampsight/LibreGeoLens?tab=readme-ov-file#troubleshooting-python-dependencies.]]></about>
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        <server>False</server>
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        <about><![CDATA[The geol_qmaps plugin facilitates legacy field data import, fieldwork preparation and post-fieldwork processing using the GEOL-QMAPS QGIS mapping template developed by the WAXI Team.]]></about>
        <trusted>False</trusted>
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        <author_name><![CDATA[Mark Jessell, Julien Perret and Eliott Betend (University of Western Australia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geol_qmaps/version/3.1.3/download/</download_url>
        <uploaded_by><![CDATA[markjessell]]></uploaded_by>
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        <server>False</server>
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        <description><![CDATA[Supports Tomofast-x geophysical inversion code]]></description>
        <about><![CDATA[Helps make input files for Tomofast-x]]></about>
        <trusted>False</trusted>
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        <uploaded_by><![CDATA[markjessell]]></uploaded_by>
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        <deprecated>False</deprecated>
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        <average_vote>4.998333888703765</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[This plugin uses as input a user vector layer that has a temporal field and resamples it to a new time spacing provided by the user.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-temporal-resample]]></homepage>
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        <icon>/media/packages/2025/icon_glCtGmQ.png</icon>
        <author_name><![CDATA[João Vitor Pimenta]]></author_name>
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        <uploaded_by><![CDATA[pimenta]]></uploaded_by>
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        <tracker><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-temporal-resample/issues]]></tracker>
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        <server>False</server>
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        <trusted>False</trusted>
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        <author_name><![CDATA[Maik Rodrigues, Valdir Moura e Ranieli dos Anjos.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/GeoRondonia/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[georondonia]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GeoRondonia/GeoRondonia/issues]]></tracker>
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        <average_vote>4.64678548320687</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Plugin for converting to and from popular 3D data formats.]]></description>
        <about><![CDATA[This plugin contains a set op processing algorithms for converting QGIS layers into 3D data formats.]]></about>
        <trusted>True</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_plugin.svg</icon>
        <author_name><![CDATA[Terglobo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/io_3d_plugin/version/0.1.0/download/</download_url>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/terglobo/qgis_io_3d_plugin/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/terglobo/qgis_io_3d_plugin]]></repository>
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        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="iNaturalist Extractor" version="0.4.2" plugin_id="3737">
        <description><![CDATA[Extract data from iNaturalist database based on an extent.]]></description>
        <about><![CDATA[Extract data from iNaturalist database based on an extent.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2026/default_icon_MSJ0ReG.png</icon>
        <author_name><![CDATA[Jules GRILLOT]]></author_name>
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        <uploaded_by><![CDATA[jgrillot]]></uploaded_by>
        <create_date>2025-02-14T17:06:33.038116+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://framagit.org/JulesGrillot/plugin_inaturalist_extractor/issues/]]></tracker>
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        <tags><![CDATA[data,environement,inaturalist]]></tags>
        <downloads>3836</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Plugin to generate high resolution 2D Manning&#x27;s roughness coefficients raster from land cover data.]]></description>
        <about><![CDATA[This plugin processes land cover dataset to generate 2D Manning’s roughness coefficients for hydrologic and hydraulic modeling.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
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        <icon>/media/packages/2025/icon_1vQPfV6.png</icon>
        <author_name><![CDATA[Abdullah Azzam]]></author_name>
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        <deprecated>False</deprecated>
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        <author_name><![CDATA[Abdishakur]]></author_name>
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        <about><![CDATA[QGIS Plugin to display MobilityDB query results]]></about>
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* Search for places using Google Places API
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        <create_date>2025-04-02T06:03:47.635546+00:00</create_date>
        <update_date>2025-04-02T06:03:50.151073+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/SandaTakeru/Sample-Plot-Survey]]></tracker>
        <repository><![CDATA[https://github.com/SandaTakeru/Sample-Plot-Survey]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>325</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Download, estrazione e fusione file GML catastali italiani con filtro per comune]]></description>
        <about><![CDATA[&lt;b&gt;Catasto IT GML Merger Pro&lt;/b&gt; è un plugin avanzato per QGIS che consente di scaricare, estrarre e unire file GML del catasto italiano (fonte RNDT/AdE). Permette di selezionare regione, province e singoli comuni tramite widget di selezione interattivo. Converte i dati in GPKG aggiungendo i campi foglio, particella, sezione censuaria e nome del comune. Applica automaticamente uno stile predefinito al layer PLE con regole per particelle, strade e acque. Lavora in background senza bloccare QGIS.&lt;br&gt;&lt;br&gt;EN: Advanced QGIS plugin to download, extract and merge Italian cadastral GML files (RNDT/AdE). Supports region, province and municipality filtering via an interactive transfer widget. Outputs GPKG with calculated fields (sheet, parcel, census section and municipality name). Automatically applies a rule-based style to the PLE layer (parcels, roads, water). Runs in background.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pigreco/CatastoIT_GML_Merger_Pro]]></homepage>
        <file_name>CatastoIT_GML_Merger_Pro.0.3.zip</file_name>
        <icon>/media/packages/2026/icon_LFxIVwf.png</icon>
        <author_name><![CDATA[Salvatore Fiandaca, Giulio Fattori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CatastoIT_GML_Merger_Pro/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[toto71]]></uploaded_by>
        <create_date>2025-04-06T14:10:34.521436+00:00</create_date>
        <update_date>2025-04-06T14:10:36.811512+00:00</update_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pigreco/CatastoIT_GML_Merger_Pro/issues]]></tracker>
        <repository><![CDATA[https://github.com/pigreco/CatastoIT_GML_Merger_Pro]]></repository>
        <tags><![CDATA[catasto,gml,gpkg,italia,particelle,fogli,regione,comune,ade,provincia]]></tags>
        <downloads>3020</downloads>
        <average_vote>4.817962819871823</average_vote>
        <rating_votes>22</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MNT" version="0.1" plugin_id="3818">
        <description><![CDATA[This plugin creates contour shapefiles based on user-defined zones]]></description>
        <about><![CDATA[This plugin allows users to generate contour lines from altimetry data in QGIS. It merges and processes raster files to create accurate terrain models and contour shapefiles based on user-defined zones. Ideal for geographic analysis and topographic studies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/TAHuy-Le/MNT]]></homepage>
        <file_name>mnt.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_FqzCOod.png</icon>
        <author_name><![CDATA[Truong Anh Huy LE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mnt/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[tahle]]></uploaded_by>
        <create_date>2025-04-07T19:11:11.300805+00:00</create_date>
        <update_date>2025-04-07T19:11:14.094236+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/TAHuy-Le/MNT]]></tracker>
        <repository><![CDATA[https://github.com/TAHuy-Le/MNT]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>512</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS-FME Form Connector" version="0.9.0" plugin_id="3828">
        <description><![CDATA[The QGIS-FME Form Connector plugin is a powerful tool that bridges QGIS and FME, enabling seamless data transformation and workflow automation between these two platforms.]]></description>
        <about><![CDATA[This plugin allows QGIS users to leverage FME&#x27;s robust and powerful data transformation capabilities directly from the QGIS interface. Hence, in order to use this plugin, the users must make sure FME Form is installed and licensed to run. It includes a default FME workspace (template) to help you get started. The template can be customized to the users needs. The workspace is located in the plugin folder directory under &quot;FME Workspace/QGISFMEFormConnectorTemplate.fmw&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gis.com.my/training/qgis-plugin/qgis-fme-form-connector/]]></homepage>
        <file_name>qgisfmeformconnector.0.9.0.zip</file_name>
        <icon>/media/packages/2025/icon_IJTO8Vj.png</icon>
        <author_name><![CDATA[GIS Innovation Sdn. Bhd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisfmeformconnector/version/0.9.0/download/</download_url>
        <uploaded_by><![CDATA[gisinnovationmy]]></uploaded_by>
        <create_date>2025-04-15T08:13:04.242452+00:00</create_date>
        <update_date>2025-04-15T08:13:06.764718+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gisinnovationmy/QGISFMEFormConnector/issues]]></tracker>
        <repository><![CDATA[https://github.com/gisinnovationmy/QGISFMEFormConnector]]></repository>
        <tags><![CDATA[python,project,transformation,openstreetmap,osm,layers,connector,workflow,data,qgis,automation,fme,form]]></tags>
        <downloads>2113</downloads>
        <average_vote>4.999545495864012</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FieldMove Project Importer" version="0.3" plugin_id="3829">
        <description><![CDATA[This plugin consolidates FieldMove project files into a QGIS project]]></description>
        <about><![CDATA[FieldMoveProjectImporter plugin aims to facilitate the import of FieldMove data into a consolidated QGIS project for further visualisation and analysis. Field observations, notes, structural measurements and georeferenced images captured with a tablet using FieldMove app (or on a mobile phone with FieldMove Clino) can alltogether be combined in a QGIS project for structural analysis, and to prepare comprehensive geological maps.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gduclaux/FieldMoveProjectImporter_QGIS]]></homepage>
        <file_name>FieldMoveProjectImporter_beta.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_5Kzp0dE.png</icon>
        <author_name><![CDATA[Guillaume Duclaux, Université Côte d&#x27;Azur]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/FieldMoveProjectImporter_beta/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[gduclaux]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gduclaux/FieldMoveProjectImporter_QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/gduclaux/FieldMoveProjectImporter_QGIS]]></repository>
        <tags><![CDATA[python,geology,geosciences,geological mapping]]></tags>
        <downloads>1806</downloads>
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        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CO2 FLUX" version="0.1" plugin_id="3834">
        <description><![CDATA[This Plugin evalute the carbon flux]]></description>
        <about><![CDATA[This algorithm evaluate the CO2 flux]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sanhfari/CO2Flux-v.1]]></homepage>
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        <icon>/media/packages/2025/icon_8LczKyc.png</icon>
        <author_name><![CDATA[Sandro Faria; Pedro Ferreira Lage]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/co2_flux/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[sandrofaria]]></uploaded_by>
        <create_date>2025-04-22T13:36:01.117033+00:00</create_date>
        <update_date>2025-04-22T13:36:05.582972+00:00</update_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sanhfari/CO2Flux-v.1/issues]]></tracker>
        <repository><![CDATA[https://github.com/sanhfari/CO2Flux-v.1]]></repository>
        <tags><![CDATA[python,co2,co2 flux]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS-FME Form Connector Algorithm" version="0.9" plugin_id="3836">
        <description><![CDATA[The QGIS-FME Form Connector Algorithm plugin is a powerful tool that bridges QGIS and FME, enabling seamless data transformation and workflow automation between these two platforms.]]></description>
        <about><![CDATA[This plugin allows QGIS users to leverage FME&#x27;s robust and powerful data transformation capabilities directly from the QGIS interface. Hence, in order to use this plugin, the users must make sure FME Form is installed and licensed to run. It includes a default FME workspace (template) to help you get started. The template can be customized to the users needs. The workspace is located in the plugin folder directory under &quot;FME Workspace/QGISFMEFormConnectorTemplate.fmw&quot;.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gis.com.my/training/qgis-plugin/fme-form-connector-algorithm/]]></homepage>
        <file_name>qgisfmeformalgorithm.0.9.zip</file_name>
        <icon>/media/packages/2025/icon_oD6nVBT.png</icon>
        <author_name><![CDATA[GIS Innovation Sdn. Bhd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgisfmeformalgorithm/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[gisinnovationmy]]></uploaded_by>
        <create_date>2025-04-23T09:07:25.150562+00:00</create_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gisinnovationmy/QGISFMEFormAlgorithm/issues]]></tracker>
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        <tags><![CDATA[python,project,transformation,openstreetmap,osm,layers,connector,workflow,data,qgis,automation,algorithm,fme,form]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CanCurve" version="1.2.0" plugin_id="3837">
        <description><![CDATA[Free tools to create Canadian flood Depth-Damage Functions (DDF)]]></description>
        <about><![CDATA[CanCurve is an open-source tool which can develop depth-damage (stage-damage) functions for use in flood loss estimation and flood risk assessments.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2025/icon_ZdgWWT2.png</icon>
        <author_name><![CDATA[Seth Bryant]]></author_name>
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        <uploaded_by><![CDATA[canflood]]></uploaded_by>
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        <downloads>510</downloads>
        <average_vote>0.0</average_vote>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GPF - Isochrone Isodistance Itinéraire" version="0.5.1" plugin_id="3842">
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        <about><![CDATA[Utiliser le service de calcul d&#x27;isochrone, isodistance et d&#x27;itinéraire de la Géoplateforme]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2025/logo_isoservices_N9xRAum.svg</icon>
        <author_name><![CDATA[oslandia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gpf_isochrone_isodistance_itineraire/version/0.5.1/download/</download_url>
        <uploaded_by><![CDATA[slafayign]]></uploaded_by>
        <create_date>2025-04-29T13:07:12.753572+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
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        <repository><![CDATA[https://github.com/Geoplateforme/plugin-qgis-gpf-isochrone-isodistance-itineraire/]]></repository>
        <tags><![CDATA[routing,pgrouting,osrm,isochrone,api,valhalla,ign,géoplateforme,geoplateforme,itinéraire,isodistance]]></tags>
        <downloads>4374</downloads>
        <average_vote>4.082993083909674</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Connectez-vous avec votre compte cartes.gouv.fr, accédez à votre communauté, publiez vos données sous forme de services hébergés sur la Géoplateforme de l&#x27;IGN.]]></description>
        <about><![CDATA[Tirer parti de la puissance de la Géoplateforme directement depuis QGIS !]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2026/logo.svg</icon>
        <author_name><![CDATA[Oslandia, IGN France]]></author_name>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
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        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/surya979/NetClus]]></homepage>
        <file_name>net_clus.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_H4gW5BE.png</icon>
        <author_name><![CDATA[Surya Hafizh]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/net_clus/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[surya979]]></uploaded_by>
        <create_date>2025-05-06T01:12:29.831038+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/surya979/NetClus/issues]]></tracker>
        <repository><![CDATA[https://github.com/surya979/NetClus]]></repository>
        <tags><![CDATA[python,network,cluster]]></tags>
        <downloads>461</downloads>
        <average_vote>3.9960039960039966</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Estrai Catasto" version="1.1.0" plugin_id="3858">
        <description><![CDATA[Load cadastral GeoJSON files, split layers by attribute, apply styles, and export to a single GeoPackage. Ideal for Italian land registry workflows.]]></description>
        <about><![CDATA[EstraiCatasto is a QGIS plugin designed to streamline the processing of Italian cadastral vector data. It allows users to load one or more GeoJSON files containing cadastral features (e.g., parcels, buildings, land use), automatically split them into separate layers based on the unique values of a selected attribute (e.g., foglio, particella), apply categorized symbology, and export the result into a single GeoPackage file. The plugin is optimized for workflows involving Italian cadastral mapping and supports automated styling using attribute-driven color schemes. It is ideal for professionals working in land registry, environmental assessment, and territorial planning. [IT] EstraiCatasto è un plugin QGIS per caricare uno o più file GeoJSON catastali, suddividerli in layer secondo un attributo, applicare simboli e salvare in un unico file GeoPackage.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ludovico85/estraicatasto]]></homepage>
        <file_name>estrai_catasto.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_ymnGLwI.png</icon>
        <author_name><![CDATA[Ludovico Frate]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/estrai_catasto/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[0865]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ludovico85/estraicatasto/issues]]></tracker>
        <repository><![CDATA[https://github.com/ludovico85/estraicatasto]]></repository>
        <tags><![CDATA[catasto,cadastre,geojson]]></tags>
        <downloads>1133</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Cruise Track Export" version="0.1" plugin_id="3871">
        <description><![CDATA[Export waypoints for Transas Ecdis.]]></description>
        <about><![CDATA[QGIS Plugin that helps exporting navigation files for Transas Ecdis. The order of waypoints can simply be sorted in a preferred way.

Export to the following file formats:

    rtz
    rt3
    cvt-files.

Build by utilizing QGIS Plugin Builder.]]></about>
        <trusted>False</trusted>
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        <homepage><![CDATA[https://github.com/gim4p/cruise_track_tool]]></homepage>
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        <icon>/media/packages/2025/icon_DuZWouF.png</icon>
        <author_name><![CDATA[gianna and markus]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cruise_track/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[gimap]]></uploaded_by>
        <create_date>2025-05-11T08:21:19.558209+00:00</create_date>
        <update_date>2025-05-11T08:21:21.085234+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gim4p/cruise_track/issues]]></tracker>
        <repository><![CDATA[https://github.com/gim4p/cruise_track_tool]]></repository>
        <tags><![CDATA[mapping,planning,cruise,station,track,transas,ecdis,rtz,rt3,vessel,towed,waypoint,Side Scan Sonar,organise waypoints]]></tags>
        <downloads>872</downloads>
        <average_vote>3.9960039960039966</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Calculation of Arrival Time" version="0.1" plugin_id="3885">
        <description><![CDATA[Fire brigade response time analysis]]></description>
        <about><![CDATA[Plugin for analyzing fire brigade response times. Includes estimating arrival time from existing stations, creating vector layers of response-time routes, and analyzing response times for all stations considering different fire ranks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Moroz-Froze/arrivel-time-calculator]]></homepage>
        <file_name>arrivel_time_calculator.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_ZNew0FN.png</icon>
        <author_name><![CDATA[Morozov V.V., Malyutin O.S.,Shamsudinov G.Yu.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/arrivel_time_calculator/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[meslash]]></uploaded_by>
        <create_date>2025-05-19T04:53:22.198224+00:00</create_date>
        <update_date>2025-05-19T04:53:24.257152+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Moroz-Froze/arrivel-time-calculator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Moroz-Froze/arrivel-time-calculator]]></repository>
        <tags><![CDATA[time,analysis,fire,emergency,firefighting,response]]></tags>
        <downloads>965</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS2API-IDEE" version="0.9" plugin_id="3888">
        <description><![CDATA[Complemento que crea un visualizador cartográfico con el contenido del lienzo de QGIS]]></description>
        <about><![CDATA[Este complemento exporta un visualizador cartográfico API-IDEE a partir de los datos cargados en el mapa.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/IngenieroGeomatico/QGIS2API-CNIG]]></homepage>
        <file_name>qgis2apiidee.0.9.zip</file_name>
        <icon>/media/packages/2025/icon_W0hh4ZU.png</icon>
        <author_name><![CDATA[IngenieroGeomatico]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis2apiidee/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[ingenierogeomatico]]></uploaded_by>
        <create_date>2025-05-20T18:04:29.726468+00:00</create_date>
        <update_date>2025-09-29T17:55:27.878200+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IngenieroGeomatico/QGIS2API-CNIG]]></tracker>
        <repository><![CDATA[https://github.com/IngenieroGeomatico/QGIS2API-CNIG]]></repository>
        <tags><![CDATA[python,openlayers,cesium,api-cnig,visualizador,mapea,api-idee]]></tags>
        <downloads>647</downloads>
        <average_vote>4.9995833680526625</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Flight Calculator" version="0.1" plugin_id="3893">
        <description><![CDATA[This plugin calculates the distance, time take and estimated fuel burn for a line dataset.]]></description>
        <about><![CDATA[This plugin adds a Processing provider and an algorithm to calculate the distance, time and fuel costs of a flight from a to b.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[http://github.com/eleeld/Flight-Route-Calculator-Plugin]]></homepage>
        <file_name>flight_calculator_plugin.0.1.zip</file_name>
        <icon>/media/packages/2025/flight_calculator_icon_2bI25hj.svg</icon>
        <author_name><![CDATA[Elena Field - British Antarctic Survey]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flight_calculator_plugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[efield]]></uploaded_by>
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        <update_date>2025-05-23T09:37:14.255433+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eleeld/Spot-Height-Extractor-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/eleeld/Flight-Route-Calculator-Plugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>890</downloads>
        <average_vote>2.9985007496251876</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="oswege_tools" version="1.0" plugin_id="3902">
        <description><![CDATA[Eine Werkzeugsammlung für die Gewässerdatenverwaltung von Wasser- und Bodenverbänden / A collection of QGIS tools for the management of river geodata of German water and soil associations]]></description>
        <about><![CDATA[Folgende Funktionen sind zur Zeit verfügbar: Abfrage der Stationierung von Gewässerlinien, Prüfroutine Gewässerlinien (Verarbeitungswerkzeug), fg_ae-Abschnitte erstellen   /   The following functions are currently available: Query of the stationing of watercourse lines, check routine watercourse data (processing tool), create fg_ae sections

Dieses Plugin wurde/wird entwickelt im Rahmen des Projekts OSWeGe, (gefördert durch das BMUV, Förderkennzeichen 67DAS263)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oswege.auf.uni-rostock.de/default.aspx]]></homepage>
        <file_name>OSWeGe_Tools.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_FDY4Qsq.png</icon>
        <author_name><![CDATA[Jannik Schilling]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OSWeGe_Tools/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[jannikschilling]]></uploaded_by>
        <create_date>2025-05-26T15:17:02.720346+00:00</create_date>
        <update_date>2025-05-26T15:17:04.358014+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Jannik-Schilling/OSWeGe_Tools/issues]]></tracker>
        <repository><![CDATA[https://github.com/Jannik-Schilling/OSWeGe_Tools]]></repository>
        <tags><![CDATA[water,linear referencing,river,data quality]]></tags>
        <downloads>1187</downloads>
        <average_vote>4.427938865876303</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OpenStaR-DT" version="beta" plugin_id="3914">
        <description><![CDATA[Charge un GML au format StaR-DT, applique style et organise en groupe]]></description>
        <about><![CDATA[Cette extension permet de charger les données de réponses DT-DICT au format GML StaR-DT afin de les visualiser dans QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://camillechevrier.fr]]></homepage>
        <file_name>OpenStaR_DT.beta.zip</file_name>
        <icon>/media/packages/2026/icon_openstardt_RgqNkHf.svg</icon>
        <author_name><![CDATA[Camille CHEVRIER]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/OpenStaR_DT/version/beta/download/</download_url>
        <uploaded_by><![CDATA[camillec]]></uploaded_by>
        <create_date>2025-05-30T15:26:07.921950+00:00</create_date>
        <update_date>2025-05-30T15:26:09.971701+00:00</update_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/cchevrier85/openstar-dt/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/cchevrier85/openstar-dt]]></repository>
        <tags><![CDATA[python,network,dt-dict,star-dt,star-elec]]></tags>
        <downloads>738</downloads>
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        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Catastale Filter" version="1.2" plugin_id="3919">
        <description><![CDATA[Ricerca geometria della particella catastale tramite inserimento Comune, Foglio, Particella.]]></description>
        <about><![CDATA[Questo plugin utilizza i files dei dati catastali dei Comuni italiani forniti
dal plugin Italy Inspire Cadastre Downloader di Geoinnova (https://github.com/geoinnova/italy_inspire_cadastre_downloader)
per l&#x27;effettuazione di ricerche comune/foglio/particella ed individuazione
della particella nel layer con evidenziazione mediante effetto visivo di lampeggio.
I layer *_ple vengono rielaborati dalla apposita funzione &#x27;Prepara layers _ple&#x27;
da eseguire dopo l&#x27;importazione dei layers catastali.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/StefSoge/catastale_filter]]></homepage>
        <file_name>catastale_filter.1.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Stefano Gregori]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/catastale_filter/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[s0g3]]></uploaded_by>
        <create_date>2025-06-01T09:37:57.015353+00:00</create_date>
        <update_date>2025-06-03T09:43:16.743384+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/StefSoge/catastale_filter]]></tracker>
        <repository><![CDATA[https://github.com/StefSoge/catastale_filter]]></repository>
        <tags><![CDATA[catasto,particella,foglio,catastale,fabbricati,comuni,comune]]></tags>
        <downloads>753</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Q-LLM" version="1.0" plugin_id="3920">
        <description><![CDATA[A lightweight QGIS assistant powered by Gemma 3.]]></description>
        <about><![CDATA[Q-LLM is a QGIS plugin that allows users to interact with the Gemma 3 LLM and automate map movement through simple prompts, including asking questions and moving the map to specified locations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/osgeokr/q_llm]]></homepage>
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        <icon>/media/packages/2025/icon_H3QfV21.png</icon>
        <author_name><![CDATA[Byeonghyeok Yu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/q_llm/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[bhyu]]></uploaded_by>
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        <update_date>2025-06-02T01:49:53.009557+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/osgeokr/q_llm/issues]]></tracker>
        <repository><![CDATA[https://github.com/osgeokr/q_llm.git]]></repository>
        <tags><![CDATA[qgis,ai,assistant,llm,gemma]]></tags>
        <downloads>482</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Topomine" version="0.1.0" plugin_id="3926">
        <description><![CDATA[Topomine plugin allows searching through French toponyms]]></description>
        <about><![CDATA[Topomine allows to explore and visualise data related to toponymy in France from various databases,
including some IGN (French Mapping Agency) databases, FANTOIR database, SANDRE database and
Cassini database (EHESS).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://doc.ptm.huma-num.fr/topomine/]]></homepage>
        <file_name>topomine.0.1.0.zip</file_name>
        <icon>/media/packages/2025/logo-topomine-pioche-128-corner_gGhVdTr.svg</icon>
        <author_name><![CDATA[Eric Grosso (PTM), Eric Mermet (CNRS, PTM)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/topomine/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[egrosso]]></uploaded_by>
        <create_date>2025-06-03T15:38:30.703001+00:00</create_date>
        <update_date>2025-06-03T15:38:32.595281+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/paristimemachine/ptm4qgis-topomine/issues/]]></tracker>
        <repository><![CDATA[https://github.com/paristimemachine/ptm4qgis-topomine/]]></repository>
        <tags><![CDATA[search,database,processing,france,ptm,topomine,toponymy]]></tags>
        <downloads>1038</downloads>
        <average_vote>4.2995700429957004</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Blaster" version="2.0.0" plugin_id="3929">
        <description><![CDATA[Speed up georeferencing processing using GDAL and full system resources.]]></description>
        <about><![CDATA[QGIS plugin that streamlines your raster georeferencing workflow by embedding GDAL&#x27;s powerful command-line tools directly into the Georeferencer interface and utilising your system&#x27;s available resources. It adds buttons for every step—from reading your GCPs through to generating Cloud-Optimized GeoTIFFs (COGs)—all without ever leaving QGIS. Features include background processing, user-selectable CRS, GCP validation warnings, and persistent settings. Compatible with QGIS 3.x and 4.x (Qt5 and Qt6).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/harryspacefromspace/rasterblaster]]></homepage>
        <file_name>rasterblaster.2.0.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Harry Stranger]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rasterblaster/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[harrystranger]]></uploaded_by>
        <create_date>2025-06-04T12:00:10.981531+00:00</create_date>
        <update_date>2025-12-08T22:15:19.015759+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/harryspacefromspace/rasterblaster/issues]]></tracker>
        <repository><![CDATA[https://github.com/harryspacefromspace/rasterblaster]]></repository>
        <tags><![CDATA[raster,gdal,georeferencing,geotiff,vrt,cog,qt6,cloud optimized]]></tags>
        <downloads>4060</downloads>
        <average_vote>4.999666688887408</average_vote>
        <rating_votes>15</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Grid Index" version="0.1" plugin_id="3940">
        <description><![CDATA[Creates a cartographically-aware grid index for map series and atlases with advanced labeling options.]]></description>
        <about><![CDATA[This plugin creates a highly customizable grid of rectangular polygons for map book and atlas page indexing. Supports vector (point, line, polygon) and raster data with both projected and geographic coordinate systems. Advanced labeling and numbering controls. Create custom-sized grids or override dimensions by specifying the number of rows and columns. Qt6 compatible.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Kapildev2019/Grid-Index]]></homepage>
        <file_name>grid_index.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_o7DSd9D.png</icon>
        <author_name><![CDATA[Kapildev Adhikari]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/grid_index/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[7154]]></uploaded_by>
        <create_date>2025-06-07T11:52:38.294097+00:00</create_date>
        <update_date>2025-06-07T11:52:40.240207+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kapildev2019/Grid-Index/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kapildev2019/Grid-Index]]></repository>
        <tags><![CDATA[raster,atlas,labeling,processing,grid,index,cartography,map series,index feature,map index,page,qt6]]></tags>
        <downloads>2972</downloads>
        <average_vote>3.5451322607035727</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CAMS Europe AQ Data Manager" version="0.3" plugin_id="3946">
        <description><![CDATA[A QGIS plugin for downloading and analyzing CAMS European air quality reanalysis (EAC4) data.
This study was carried out within the Space It Up project funded by the Italian Space Agency, ASI, and the Ministry of University and Research, MUR, under contract n. 2024-5-E.0 - CUP n. I53D24000060005.

🌍 Dataset Supported
This plugin specifically supports data from:

CAMS European air quality reanalyses
🔗 https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses

🧭 Features
AOI selection (including selected GPKG features)
Parameter configuration (pollutant, model, level, date)
Download data via CAMS API
Temporal aggregation (daily, monthly, seasonal)
Basic statistics (mean, min, max, std. dev.)
Bivariate analysis (e.g., correlation)
QGIS integration and visualization
Terms and Conditions link included
⚙️ Installation
Before installing the plugin, please make sure to install the following packages in the QGIS Python environment: pip install cdsapi pyproj rioxarray geopandas netCDF4 h5netcdf cftime h5py dask

Option 1: Manual Installation
Clone or download this repository
Copy the entire folder into your QGIS plugins directory:
# Typical plugin path for Windows:
C:\Users\&lt;YourUsername&gt;\AppData\Roaming\QGIS\QGIS3\profiles\default\python\plugins

# For macOS or Linux:
~/.local/share/QGIS/QGIS3/profiles/default/python/plugins]]></description>
        <about><![CDATA[This plugin allows users to access, download, and analyze atmospheric pollution data from the Copernicus Atmosphere Monitoring Service (CAMS) within QGIS. It supports setting an area of interest (AOI), selecting variables and models, retrieving data via CDS API, and visualizing or performing temporal and spatial analysis on the results. This study was carried out within the Space It Up project funded by the Italian Space Agency, ASI, and the Ministry of University and Research, MUR, under contract n. 2024-5-E.0 - CUP n. I53D24000060005.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/zhanbinw/cams-qgis-plugin]]></homepage>
        <file_name>cams_eaq_data_manager.0.3.zip</file_name>
        <icon>/media/packages/2025/icon_XoSkZml.png</icon>
        <author_name><![CDATA[POLIMI]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cams_eaq_data_manager/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[zhanbin]]></uploaded_by>
        <create_date>2025-06-09T17:11:08.084079+00:00</create_date>
        <update_date>2025-07-18T17:48:41.969369+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/zhanbinw/cams-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/zhanbinw/cams-qgis-plugin]]></repository>
        <tags><![CDATA[python,qgis,air quality,cams]]></tags>
        <downloads>720</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Open Maritime Risk Analysis Tool" version="0.3.0" plugin_id="3949">
        <description><![CDATA[This is an open source implementation of Pedersens and Friis-Hansen equations]]></description>
        <about><![CDATA[A plugin to do simple maritime risk analysis. This plugin has been funded by Naturvårdsverket and RISE, the plugin is under development and many thing may change and there are numerous bugs etc.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/axelande/OMRAT]]></homepage>
        <file_name>Omrat.0.3.0.zip</file_name>
        <icon>/media/packages/2025/icon_nmTO8GB.png</icon>
        <author_name><![CDATA[Axel Hörteborn]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Omrat/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[axelande]]></uploaded_by>
        <create_date>2025-06-12T07:51:56.126631+00:00</create_date>
        <update_date>2025-06-12T07:52:00.750496+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/axelande/OMRAT/issues]]></tracker>
        <repository><![CDATA[https://github.com/axelande/OMRAT]]></repository>
        <tags><![CDATA[analysis,routing,risk,ship]]></tags>
        <downloads>380</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geosquare Grid" version="0.1.0" plugin_id="3950">
        <description><![CDATA[Easy to create GeoSquare Grid]]></description>
        <about><![CDATA[Geosquare Plugin for QGIS designed to seamlessly export vector and raster layers into Geosquare. This plugin simplifies the process of splitting geospatial data to GeoSquare for advanced analytics, visualization, and sharing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geosquare.ai]]></homepage>
        <file_name>geosquare_grid_qgis.0.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_HYcGeXO.png</icon>
        <author_name><![CDATA[PT Geo Inovasi Nusantara]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geosquare_grid_qgis/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[ridho]]></uploaded_by>
        <create_date>2025-06-12T19:27:23.866234+00:00</create_date>
        <update_date>2025-06-12T19:35:50.219164+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/petainid/geosquare_grid_qgis]]></tracker>
        <repository><![CDATA[https://github.com/petainid/geosquare_grid_qgis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>821</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="oQtopus" version="1.5.2" plugin_id="3962">
        <description><![CDATA[oQtopus : A QGIS module manager that helps you deploy, manage and upgrade your QGIS projects, plugins and associated postgreSQL / PostGIS datamodel implementations.]]></description>
        <about><![CDATA[oQtopus : A QGIS module manager that helps you deploy, manage and upgrade your QGIS projects, plugins and associated postgreSQL / PostGIS datamodel implementations]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://opengisch.github.io/oqtopus]]></homepage>
        <file_name>oqtopus.1.5.2.zip</file_name>
        <icon>/media/packages/2026/oqtopus-logo_epEQuu2.png</icon>
        <author_name><![CDATA[OPENGIS.ch]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/oqtopus/version/1.5.2/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2025-06-14T20:56:30.774188+00:00</create_date>
        <update_date>2026-04-17T09:53:34.778445+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengisch/oqtopus/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengisch/oqtopus]]></repository>
        <tags><![CDATA[database]]></tags>
        <downloads>3967</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QThermonet (processing)" version="0.1.1" plugin_id="3966">
        <description><![CDATA[This plugin enables dimensioning of thermonets in QGIS using pythermonet.]]></description>
        <about><![CDATA[This plugin serves as a user interface for the pythermonet &#x27;Thermonet Dimensioning Tool&#x27; that dimensions the diameters of gridpipes in a thermonet as well as the length of Borehole Heat Exchangers (BHE&#x27;s) or Horizontal Heat Exchangers (HHE&#x27;s) supplying the grid. https://github.com/soeb1978/pythermonet. Disclaimer: The authors take no responsibility for the accuracy of results produced using this tool.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jaluan/QThermonet]]></homepage>
        <file_name>qthermonet_processing_v_0_1.0.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_4MsC8dz.png</icon>
        <author_name><![CDATA[Jane Lund Andersen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qthermonet_processing_v_0_1/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[jla2025]]></uploaded_by>
        <create_date>2025-06-18T13:54:11.202923+00:00</create_date>
        <update_date>2025-06-20T08:08:00.017012+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jaluan/QThermonet/issues]]></tracker>
        <repository><![CDATA[https://github.com/jaluan/QThermonet]]></repository>
        <tags><![CDATA[python,energy,ground-source energy,thermonet,cooling network,heating network]]></tags>
        <downloads>534</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CatGrowing" version="0.1.0" plugin_id="3967">
        <description><![CDATA[Region-growing algorithm for categorical raster data.]]></description>
        <about><![CDATA[The CatGrowing plugin implements a categorical region-growing algorithm designed to analyze and expand areas with similar characteristics to initial seeds. Using a categorical raster map and a vector seed map, the plugin identifies regions akin to the seeds by comparing histograms of pixel categories. The algorithm iteratively grows regions based on the Orloci Chord distance, which measures dissimilarity between the seed&#x27;s composition and its surroundings. This tool is ideal for spatial analysis tasks requiring region delineation based on categorical data.

CatGrowing was produced in the frame of MEDCONECTA, a project supported by the Biodiversity Foundation of the Ministry for the Ecological Transition and the Demographic Challenge (MITECO) of the Government of Spain, within the framework of the Recovery, Transformation and Resilience Plan (PRTR), funded by the European Union - NextGenerationEU.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Aruiz99/CatGrowing]]></homepage>
        <file_name>CatGrowing.0.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_VZ6P2gb.png</icon>
        <author_name><![CDATA[Alberto Ruiz-Rancaño, Gabriel del Barrio Escribano (EEZA-CSIC)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CatGrowing/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[aruiz99]]></uploaded_by>
        <create_date>2025-06-18T18:40:44.974439+00:00</create_date>
        <update_date>2025-06-18T18:40:47.874709+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Aruiz99/CatGrowing/issues]]></tracker>
        <repository><![CDATA[https://github.com/Aruiz99/CatGrowing]]></repository>
        <tags><![CDATA[histogram,spatial-analysis,spatial-coherence,region-growing,categorical-raster,raster-processing.,vector-seeds]]></tags>
        <downloads>734</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Nadi" version="0.1" plugin_id="3969">
        <description><![CDATA[Nadi (River) connections tool]]></description>
        <about><![CDATA[NADI (Network Analysis and Data Integration) can make river connections based on the streams vector file and points of interests.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Nadi-System/nadi-gis]]></homepage>
        <file_name>nadi.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_S7ZHvUT.png</icon>
        <author_name><![CDATA[Gaurav Atreya]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/nadi/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[atreyagaurav]]></uploaded_by>
        <create_date>2025-06-20T13:40:22.683763+00:00</create_date>
        <update_date>2025-06-20T13:40:25.390977+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Nadi-System/nadi-gis/issues]]></tracker>
        <repository><![CDATA[https://github.com/Nadi-System/nadi-gis]]></repository>
        <tags><![CDATA[network analysis,routing,processing]]></tags>
        <downloads>364</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FooPicha" version="0.5" plugin_id="3971">
        <description><![CDATA[Visualize photos with location/coordinates and create/display point data.]]></description>
        <about><![CDATA[Read a folder of pictures and shows the pictures with coordinates ready to create/display a point file.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cutlan/QGIS-FooPicha/]]></homepage>
        <file_name>foopicha.0.5.zip</file_name>
        <icon>/media/packages/2025/icon_znCcc2R.png</icon>
        <author_name><![CDATA[C-Langen R.M.M.M Mushi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/foopicha/version/0.5/download/</download_url>
        <uploaded_by><![CDATA[cutlan]]></uploaded_by>
        <create_date>2025-06-20T20:19:55.766827+00:00</create_date>
        <update_date>2025-07-10T15:46:44.505196+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cutlan/QGIS-FooPicha/issues]]></tracker>
        <repository><![CDATA[https://github.com/cutlan/QGIS-FooPicha/]]></repository>
        <tags><![CDATA[python,time,picture,image,description,jbidhaa,tanzania,jbe,picha]]></tags>
        <downloads>1291</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geoscience Section Vertical Exaggeration" version="0.1" plugin_id="3975">
        <description><![CDATA[This plugin creates a vertically exaggerated section of your already created geoscience section.]]></description>
        <about><![CDATA[This plugin creates a vertically exaggerated section of your already created geoscience section. It is intended as a follow up on the Geoscience Plugin (by Roland Hill), which let&#x27;s you create geoscience sections. It also provides a function to save all temporary layers into an indicated folder and to remove the temporary layers.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Nicola-core/Geoscience_section_vertical_exaggeration]]></homepage>
        <file_name>gs_vertical_exaggeration.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_EXMkNLj.png</icon>
        <author_name><![CDATA[Nicola Kern]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gs_vertical_exaggeration/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[nicola]]></uploaded_by>
        <create_date>2025-06-23T08:56:19.439864+00:00</create_date>
        <update_date>2025-06-23T08:56:21.459238+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Nicola-core/Geoscience_section_vertical_exaggeration/issues]]></tracker>
        <repository><![CDATA[https://github.com/Nicola-core/Geoscience_section_vertical_exaggeration]]></repository>
        <tags><![CDATA[geology,borehole,vertical,section,drilling,drill,geoscience,hole,drillhole,distortion,geotechnics,exaggeration]]></tags>
        <downloads>697</downloads>
        <average_vote>1.999600079984003</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Consulta Lotes em Terrenos de Marinha e seus Acrescidos" version="1.0" plugin_id="3979">
        <description><![CDATA[Plugin que permite consultar lotes e verificar sua sobreposição com Terrenos de Marinha (TM) e Acrescidos de Marinha (AM). A partir do número do imóvel ou do endereço, identifica a localização do lote e gera um relatório com informações sobre sua classificação e a área sobreposta, facilitando a identificação de lotes em áreas sob domínio da União e auxiliando na tomada de decisões baseadas em dados espaciais.]]></description>
        <about><![CDATA[Consulta lotes que sobrepõem Terrenos de Marinha e seus Acrescidos a partir de endereço ou número cartográfico.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/leticiaestephane/consulta_tm]]></homepage>
        <file_name>consulta_tm.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_aFvKOc4.png</icon>
        <author_name><![CDATA[Letícia Estephane de Brito Ferreira]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/consulta_tm/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[leticiaestephane]]></uploaded_by>
        <create_date>2025-06-23T18:30:47.373574+00:00</create_date>
        <update_date>2025-06-23T18:30:50.245286+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/leticiaestephane/consulta_tm/issues]]></tracker>
        <repository><![CDATA[https://github.com/leticiaestephane/consulta_tm]]></repository>
        <tags><![CDATA[spu,terrenos de marinha]]></tags>
        <downloads>285</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MapBiomas Fogo" version="0.1" plugin_id="3985">
        <description><![CDATA[This plugin allows access to MapBiomas fire products directly in QGIS]]></description>
        <about><![CDATA[This plugin allows access to MapBiomas fire products directly in QGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://brasil.mapbiomas.org/]]></homepage>
        <file_name>mapbiomas_fogo.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_D6CNsBA.png</icon>
        <author_name><![CDATA[Newton Monteiro, Wallace Silva, Felipe Martenexen, Vera Laísa, João Ribeiro, IPAM Amazônia]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mapbiomas_fogo/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[newton787]]></uploaded_by>
        <create_date>2025-06-24T16:58:53.523321+00:00</create_date>
        <update_date>2025-06-24T16:58:56.544564+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Newton787/osgeo_qgis_plugin_mapbiomas_fogo/issues]]></tracker>
        <repository><![CDATA[https://github.com/Newton787/osgeo_qgis_plugin_mapbiomas_fogo]]></repository>
        <tags><![CDATA[python,landsat,area,mapbiomas,fire,fire detection,burn scar,historical series]]></tags>
        <downloads>791</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Depth Reader OCR" version="1.0.0" plugin_id="3990">
        <description><![CDATA[Extrai manual e automaticamente valores de profundidade de cartas náuticas brasileiras usando OCR]]></description>
        <about><![CDATA[Este plugin permite extrair manual e automaticamente valores de profundidade de cartas náuticas raster (GeoTIFF) da Marinha do Brasil usando OCR com múltiplas tecnologias (OpenCV, Tesseract, EasyOCR).
DEPENDÊNCIAS OBRIGATÓRIAS:
- opencv-python&gt;=4.5.0 (processamento de imagem)
- pytesseract&gt;=0.3.8 (OCR Tesseract)
- easyocr&gt;=1.6.0 (OCR alternativo)
- pillow&gt;=8.0.0 (manipulação de imagens)
INSTALAÇÃO DE DEPENDÊNCIAS:
O plugin tentará instalar as dependências automaticamente. Se falhar:
1. Abrir Console Python do QGIS (Plugins &gt; Console Python)
2. Executar: import subprocess; subprocess.check_call([&#x27;pip&#x27;, &#x27;install&#x27;, &#x27;opencv-python&#x27;, &#x27;pytesseract&#x27;, &#x27;easyocr&#x27;, &#x27;pillow&#x27;])
3. Para Windows: Instalar Tesseract Engine de https://github.com/UB-Mannheim/tesseract/wiki
4. Reiniciar QGIS
DADOS COMPATÍVEIS:
Cartas Náuticas Raster (GeoTIFF) da Marinha do Brasil disponíveis gratuitamente em: https://www.marinha.mil.br/chm/dados-do-segnav/cartas-raster
CARACTERÍSTICAS TÉCNICAS:
OCR com múltiplas rotações (-90° a +270°), filtros adaptativos para melhor reconhecimento, interface com barra de progresso, sistema robusto de verificação de dependências, salvamento automático para análise posterior.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/elivaldorocha/depth-reader-ocr]]></homepage>
        <file_name>deep_reader_ocr.1.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_LcVgWcO.png</icon>
        <author_name><![CDATA[Elivaldo Rocha]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/deep_reader_ocr/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[elivaldorocha]]></uploaded_by>
        <create_date>2025-06-25T20:54:55.095729+00:00</create_date>
        <update_date>2025-06-25T20:54:57.083677+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/elivaldorocha/depth-reader-ocr/issues]]></tracker>
        <repository><![CDATA[https://github.com/elivaldorocha/depth-reader-ocr]]></repository>
        <tags><![CDATA[raster,geotiff,opencv,batimetria,ocr,cartas nauticas,tesseract,marinha brasil,nautico,profundidade]]></tags>
        <downloads>962</downloads>
        <average_vote>4.999500049995</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Drainage Basin Geomorphology" version="0.6" plugin_id="4004">
        <description><![CDATA[This plugin provides tools for geomorphological analysis in drainage basins.]]></description>
        <about><![CDATA[Studying and analyzing the geomorphology of drainage basins is essential to understand the dynamics of the processes that occur in them and their interactions with the environment and human activities. In this context, the &quot;Drainage Basin Geomorphology&quot; plugin aims to provide tools that help the user to quickly analyze characteristics of the drainage basin. If you have any questions, suggestions, errors or need information/training about the plugin, please contact: jvpjoaopimentadev@gmail.com]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-Drainage-Basin-Geomorphology]]></homepage>
        <file_name>DrainageBasinGeomorphology.0.6.zip</file_name>
        <icon>/media/packages/2026/icon_T7jBF1l.png</icon>
        <author_name><![CDATA[João Vitor Pimenta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DrainageBasinGeomorphology/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[pimenta]]></uploaded_by>
        <create_date>2025-06-29T21:30:21.996718+00:00</create_date>
        <update_date>2025-06-29T21:30:25.072428+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-Drainage-Basin-Geomorphology/issues]]></tracker>
        <repository><![CDATA[https://github.com/JoaoVitorPimenta/qgis-plugin-Drainage-Basin-Geomorphology]]></repository>
        <tags><![CDATA[geomorphology,hydrology,pca,drainage,morphology,morphometry,basin,inundation,watershed,morphometric,modification,priority]]></tags>
        <downloads>6029</downloads>
        <average_vote>4.082993083909674</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Attribute Table Shortcut" version="1.0.1" plugin_id="4010">
        <description><![CDATA[Provides quick a button next to each layer in the layers list to open it&#x27;s attribute table]]></description>
        <about><![CDATA[A very small plugin for streamlining your workflow by adding convenient attribute table access buttons directly in the layers panel.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/angusmcb/attribute-shortcut]]></homepage>
        <file_name>attributeshortcut.1.0.1.zip</file_name>
        <icon>/media/packages/2025/logo_BvtrvXC.svg</icon>
        <author_name><![CDATA[Angus McBride]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/attributeshortcut/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[angusmcb]]></uploaded_by>
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        <update_date>2025-07-01T08:42:52.570565+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/angusmcb/attribute-shortcut/issues]]></tracker>
        <repository><![CDATA[https://github.com/angusmcb/attribute-shortcut]]></repository>
        <tags><![CDATA[attribute,table,layers,workflow,panel,shortcut,button]]></tags>
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        <average_vote>4.3938062482955065</average_vote>
        <rating_votes>33</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="USM toolset - Performance optimized" version="1.1.1" plugin_id="4016">
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        <about><![CDATA[Weighted Urban Proliferation (WUP) has three components: PBA, DIS, and LUP (or UD). Proportion of built-up areas (PBA) is the ratio of the size of built-up areas to the size of the landscape (reporting unit): PBA = Area of built-up area / Area of reporting unit. Degree of urban dispersion (DIS) measures the dispersion of built-up areas based on the distances between any two points within the built-up areas. DIS is expressed in urban permeation units per square meter of built-up area (UPU/m^2). More dispersed built-up areas have higher DIS values. Land Uptake per person (LUP) is the area of land used per inhabitant or job within the built-up areas, expressed in square meters per inhabitant or job (m^2/(inh. or job)). High LUP values indicate more space used per inhabitant or workplace. LUP is the reciprocal of UD: LUP = 1/UD.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://giswiki.hsr.ch/USMToolset]]></homepage>
        <file_name>usm_calculator_qgis.1.1.1.zip</file_name>
        <icon>/media/packages/2025/logo_HIvi9qZ.png</icon>
        <author_name><![CDATA[Joel Schwab, Ryan Horiguchi, Stefan F. Keller, Nico Fehr, Kyra Maag]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/usm_calculator_qgis/version/1.1.1/download/</download_url>
        <uploaded_by><![CDATA[nfehr]]></uploaded_by>
        <create_date>2025-07-05T08:45:26.264965+00:00</create_date>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Norukh/usm_calculator/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Norukh/usm_calculator]]></repository>
        <tags><![CDATA[vector,raster,polygon,statistics,sustainability,processing,density,urban planning,urban permeation,urban sprawl,dispersion]]></tags>
        <downloads>279</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TaxRef Collector" version="0.5.2" plugin_id="4017">
        <description><![CDATA[Récupérer les identifiants TAXREF de vos listes de taxons grâce en fonction de leur nom, leur rang ou encore de leur identifiant GBIF.]]></description>
        <about><![CDATA[This plugin allows the user to find TAXREF occurences depending on species name or GBIF id.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://julesgrillot.frama.io/plugin_taxref_collector/]]></homepage>
        <file_name>taxref_collector.0.5.2.zip</file_name>
        <icon>/media/packages/2026/default_icon_ryxLNEp.png</icon>
        <author_name><![CDATA[Jules GRILLOT]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/taxref_collector/version/0.5.2/download/</download_url>
        <uploaded_by><![CDATA[jgrillot]]></uploaded_by>
        <create_date>2025-07-06T19:56:06.996641+00:00</create_date>
        <update_date>2026-04-09T15:43:53.003588+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://framagit.org/JulesGrillot/plugin_taxref_collector/issues/]]></tracker>
        <repository><![CDATA[https://framagit.org/JulesGrillot/plugin_taxref_collector]]></repository>
        <tags><![CDATA[gbif,enviro taxref]]></tags>
        <downloads>992</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QChat" version="1.0.0-beta2" plugin_id="4033">
        <description><![CDATA[This plugin allows one to chat with other QGIS users connected at the same time.]]></description>
        <about><![CDATA[&quot;Let&#x27;s chat with your fellow GIS mates in QGIS !&quot;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://geotribu.github.io/qchat/]]></homepage>
        <file_name>qchat.1.0.0-beta2.zip</file_name>
        <icon>/media/packages/2026/logo_qchat_GFkns6q.svg</icon>
        <author_name><![CDATA[Guilhem Allaman (Geotribu), Julien Moura (Geotribu)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qchat/version/1.0.0-beta2/download/</download_url>
        <uploaded_by><![CDATA[geotribu]]></uploaded_by>
        <create_date>2025-07-15T01:45:37.381184+00:00</create_date>
        <update_date>2025-07-18T00:12:49.381379+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geotribu/qchat/issues/]]></tracker>
        <repository><![CDATA[https://github.com/geotribu/qchat]]></repository>
        <tags><![CDATA[community,social,geotribu,chat]]></tags>
        <downloads>2567</downloads>
        <average_vote>4.368191147834324</average_vote>
        <rating_votes>19</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Top10NL Downloader" version="0.9" plugin_id="4036">
        <description><![CDATA[Download Top10NL features via the PDOK OGC-API Features service.]]></description>
        <about><![CDATA[This plugin downloads Top10NL features from the Dutch PDOK service via OGC-API Features. It allows specifying which feature types to download, the extent, and where to save the output.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_7G8iP0c.png</icon>
        <author_name><![CDATA[wvdbee, with help from Claude and CoPilot.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/top10nl_downloader/version/0.9/download/</download_url>
        <uploaded_by><![CDATA[wvdbee]]></uploaded_by>
        <create_date>2025-07-15T12:31:13.201351+00:00</create_date>
        <update_date>2025-07-15T12:31:16.163749+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wvdbee/top10nl_downloader/issues]]></tracker>
        <repository><![CDATA[https://github.com/wvdbee/top10nl_downloader]]></repository>
        <tags><![CDATA[pdok,download,ogc api features,netherlands,base map,top10nl,dutch,brt]]></tags>
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        <average_vote>4.3326112314614225</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[This is the management tool for every TEKSI Module installation and upgrade]]></description>
        <about><![CDATA[This is the management tool for every TEKSI Module installation and upgrade]]></about>
        <trusted>None</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.teksi.ch/]]></homepage>
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        <icon>/media/packages/2026/tmmt-logo_7BJ0npy.png</icon>
        <author_name><![CDATA[TEKSI]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/teksi_module_management_tool/version/1.0.14/download/</download_url>
        <uploaded_by><![CDATA[None]]></uploaded_by>
        <create_date>2025-07-16T09:19:04.663509+00:00</create_date>
        <update_date>2026-02-24T11:42:13.182491+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/teksi/TMMT/issues]]></tracker>
        <repository><![CDATA[https://github.com/teksi/TMMT]]></repository>
        <tags><![CDATA[project,postgis,postgres,plugin,qgis,management,module,teksi,installation,upgrade]]></tags>
        <downloads>2231</downloads>
        <average_vote>3.9990002499375152</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Gruhanaksha" version="2.0.0" plugin_id="4061">
        <description><![CDATA[Gruhanaksha is developed specifically to support the deliverables of the SVAMITVA by offering various tools Polygon adjuster, Plotter, auto backup and save , free hand adjuster, ppm generation, other tools for geometry adjustments and manipulation]]></description>
        <about><![CDATA[Gruhanaksha is a QGIS plugin developed specifically to support the deliverables of the SVAMITVA by offering various tools Polygon adjuster, Plotter, auto backup and save , free hand adjuster, ppm generation, other tools for geometry adjustments and manipulation]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.26.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://surveyorstories.github.io/gruhanakshaweb]]></homepage>
        <file_name>gruhanaksha.2.0.0.zip</file_name>
        <icon>/media/packages/2026/ppm_Xww8ivj.svg</icon>
        <author_name><![CDATA[Surveyor Stories]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/gruhanaksha/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[lokeshmetta]]></uploaded_by>
        <create_date>2025-07-23T17:56:06.056362+00:00</create_date>
        <update_date>2025-10-15T03:37:57.099887+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/surveyorstories/gruhanaksha/issues]]></tracker>
        <repository><![CDATA[https://github.com/surveyorstories/gruhanaksha]]></repository>
        <tags><![CDATA[geometry,svamitva,resurvey,ppm,polygon adjuster,triangle,autocad aligner,auto backup and auto save,csv importer,auto lpnumbering]]></tags>
        <downloads>7747</downloads>
        <average_vote>4.687353520202494</average_vote>
        <rating_votes>32</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Landlab Algorithm Provider" version="0.2" plugin_id="4074">
        <description><![CDATA[Earth Surface Dynamics modeling algorithms]]></description>
        <about><![CDATA[This plugin provides various algorithms from the Landlab Python library, which is an open-source package for numerical modeling of Earth surface dynamics that allows the simulation of different physical processes such as generation of rain or erosion by flowing water.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.8.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/LucasAmion/landlab-qgis-plugin]]></homepage>
        <file_name>landlab_algorithm_provider.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_xxyEAnh.png</icon>
        <author_name><![CDATA[Lucas Amion]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/landlab_algorithm_provider/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[lucasamion]]></uploaded_by>
        <create_date>2025-07-29T17:12:54.981472+00:00</create_date>
        <update_date>2025-08-01T19:45:08.073029+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/LucasAmion/landlab-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/LucasAmion/landlab-qgis-plugin]]></repository>
        <tags><![CDATA[python,geomorphology,landscape,erosion,evolution,landlab]]></tags>
        <downloads>409</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Processing SWAN Provider" version="0.1.0" plugin_id="4084">
        <description><![CDATA[Allows to post process SWAN model outputs in QGIS to convert them into vector layers or raster layers, to extract data from SWAN outputs in several locations.]]></description>
        <about><![CDATA[This plugin provides post-processing capabilities for SWAN results, the spectral wave model.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/isl-ingenierie/qgis/processing-swan-provider]]></homepage>
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        <icon>/media/packages/2025/swan_logo.png</icon>
        <author_name><![CDATA[Nicolas GODET (ISL Ingénierie)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/processing_swan_provider/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[nicogodet]]></uploaded_by>
        <create_date>2025-07-31T07:39:30.604333+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/isl-ingenierie/qgis/processing-swan-provider/-/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/isl-ingenierie/qgis/processing-swan-provider]]></repository>
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        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tellae" version="0.1.4" plugin_id="4085">
        <description><![CDATA[Access Tellae services from QGIS]]></description>
        <about><![CDATA[This plugin allows accessing Tellae services (for instance some of the tools available in https://kite.tellae.fr/) from QGIS. This mainly consists in access to mobility-related data in France and processing algorithms. You will need a Tellae user account to access the services.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tellae/qgis-tellae-plugin]]></homepage>
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        <icon>/media/packages/2026/tellae_V71Tk7d.png</icon>
        <author_name><![CDATA[Tellae]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tellae/version/0.1.4/download/</download_url>
        <uploaded_by><![CDATA[tellae]]></uploaded_by>
        <create_date>2025-07-31T13:25:01.302787+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tellae/qgis-tellae-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/tellae/qgis-tellae-plugin]]></repository>
        <tags><![CDATA[python,network,opendata,transport,mobility,kite,tellae]]></tags>
        <downloads>595</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="EquivalentSlopeTool" version="0.1" plugin_id="4119">
        <description><![CDATA[Calculates equivalent slope along a line using DEM]]></description>
        <about><![CDATA[The Equivalent Slope, a pivotal hydrological characteristic for flood estimation in ungauged catchments in India, is precisely defined and applied by the Central Water Commission (CWC) within its Flood Estimation Reports (FERs) for various hydro-meteorological sub-zones. This parameter quantifies the average steepness of the main river channel, directly influencing the speed of flood wave propagation and consequently the time to peak of a flood hydrograph. This tool helps to find the equivalent slope of a given flow path from the terrain data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2025/icon_M78Bjso.png</icon>
        <author_name><![CDATA[Job J John]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/equivalent_slope_tool/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jobqgis]]></uploaded_by>
        <create_date>2025-08-12T16:46:25.172348+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Job-J-John/equivalent_slope_tool]]></tracker>
        <repository><![CDATA[https://github.com/Job-J-John/equivalent_slope_tool]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>278</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RefrescarPSQL" version="0.1" plugin_id="4122">
        <description><![CDATA[Botón para recargar una capa desde PostGIS]]></description>
        <about><![CDATA[Este complemento agrega un botón que permite recargar capas PostGIS seleccionadas dentro del proyecto QGIS. Útil para reflejar cambios realizados directamente en la base de datos.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Qchris87/refrescar-postgresql]]></homepage>
        <file_name>refrescarpsql.0.1.zip</file_name>
        <icon>/media/packages/2025/icono.png</icon>
        <author_name><![CDATA[QChRis]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/refrescarpsql/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[chris87]]></uploaded_by>
        <create_date>2025-08-13T14:41:48.836438+00:00</create_date>
        <update_date>2025-08-13T14:41:51.569260+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Qchris87/refrescar-postgresql/issues]]></tracker>
        <repository><![CDATA[https://github.com/Qchris87/refrescar-postgresql]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>205</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="RiskGuard" version="0.1" plugin_id="4125">
        <description><![CDATA[Download datasets from Copernicus and CMCC, apply geographic and temporal filters, and visualize as Mesh and Raster Layers in QGIS.]]></description>
        <about><![CDATA[The QGIS plugin integrates and combines geospatial and climate data from authoritative sources such as Copernicus and the Euro-Mediterranean Center on Climate Change (CMCC), transforming them into information ready for risk analysis and prevention.
Designed for GIS developers, analysts, and technicians, it allows quick access to updated climate data, the application of geographic and temporal filters, and the visualization of results as Mesh or Raster Layers.
A distinctive feature is the interactive geographic selection panel, based on OpenStreetMap, which allows users to define the area of interest directly on the map by simply drawing a rectangle.
The coordinates are automatically captured and applied to the download filters, avoiding manual input and reducing the margin of error.
This intuitive interface makes the plugin accessible even to less experienced users, without requiring advanced knowledge of coordinates or georeferencing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/corsaronero/RiskGuard]]></homepage>
        <file_name>RiskGuard.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_2UleIXf.png</icon>
        <author_name><![CDATA[Alessio Corsini]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/RiskGuard/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[corsaro]]></uploaded_by>
        <create_date>2025-08-15T12:54:30.109755+00:00</create_date>
        <update_date>2025-08-15T12:54:31.974552+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/corsaronero/RiskGuard/issues]]></tracker>
        <repository><![CDATA[https://github.com/corsaronero/RiskGuard]]></repository>
        <tags><![CDATA[python,analysis,netcdf,satellite,grib,climate,c3s,copernicus,dds,cmcc,forecasts,reanalysis]]></tags>
        <downloads>391</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <description><![CDATA[Identify cave levels from geospatially referenced cave surveys using a QGIS Processing Algorithm.]]></description>
        <about><![CDATA[The plugin adds a Processing Provider &quot;Cave-PY&quot; with the algorithm &quot;Calculate Cave Levels&quot;. It calculates cave levels and horizontal extents based on elevation, slope, and distance thresholds. Results are exported as a PNG plot and TXT table.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/cpenpen/cave-PY]]></homepage>
        <file_name>cave_py.0.1.1.zip</file_name>
        <icon>/media/packages/2025/icon_m46whRp.png</icon>
        <author_name><![CDATA[christos pennos, rannveig skoglund]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/cave_py/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[cpennos]]></uploaded_by>
        <create_date>2025-08-17T07:25:15.653716+00:00</create_date>
        <update_date>2025-08-19T08:03:34.690555+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/cpenpen/cave-PY/issues]]></tracker>
        <repository><![CDATA[https://github.com/cpenpen/cave-PY]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>318</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Raster Tools" version="1.0.1" plugin_id="4135">
        <description><![CDATA[High-performance raster calculator and delivered cost analysis tool. Requires QGIS installed via conda-forge (Mac/Linux) or OSGeo4W Network Installer (Windows). Dependencies: raster_tools, osmnx, and py3dep.]]></description>
        <about><![CDATA[Provides a high-performance raster calculator (with Dask backend) and a delivered cost analysis tool for forestry applications. Requires python modules raster_tools, osmnx, and py3dep. Please see documentation for install instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/timvandriel/raster_tools_plugin]]></homepage>
        <file_name>r_tools.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_cLQc5Sa.png</icon>
        <author_name><![CDATA[Tim Van Driel]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/r_tools/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[timvandriel]]></uploaded_by>
        <create_date>2025-08-18T20:23:12.596753+00:00</create_date>
        <update_date>2025-09-18T19:44:59.695715+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/timvandriel/raster_tools_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/timvandriel/raster_tools_plugin]]></repository>
        <tags><![CDATA[calculator,raster,analysis,osm,topography,cost,forestry]]></tags>
        <downloads>805</downloads>
        <average_vote>3.9996363966912103</average_vote>
        <rating_votes>11</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geopackage Replacer" version="1.0.1" plugin_id="4137">
        <description><![CDATA[Replace any GeoPackage used in the current project with a new .gpkg or .zip, with layer preview, validation, backup, and optional project auto-reload.]]></description>
        <about><![CDATA[Geopackage Replacer updates any .gpkg used in the current project. Pick the new .gpkg (or .zip) and the origin from the project. The plugin validates and previews layers, feature counts and SRIDs before replacing, creates a timestamped backup and (optionally) reloads the project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/hewerthomn/geopackage-replacer-qgis-plugin#readme]]></homepage>
        <file_name>geopackage_replacer.1.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_gSsBuIa.png</icon>
        <author_name><![CDATA[hewerthomn]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geopackage_replacer/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[hewerthomn]]></uploaded_by>
        <create_date>2025-08-19T18:43:35.025767+00:00</create_date>
        <update_date>2025-08-19T18:43:37.398618+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hewerthomn/geopackage-replacer-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/hewerthomn/geopackage-replacer-qgis-plugin]]></repository>
        <tags><![CDATA[database,validation,zip,qgis,backup,geopackage,gpkg,replace]]></tags>
        <downloads>401</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="NAD Waterketen Kaarten" version="0.2" plugin_id="4163">
        <description><![CDATA[Centrale plek om handige kaarten voor waterketen en rioolbeheer te vinden en snel in te laden.]]></description>
        <about><![CDATA[Centrale plek om handige kaarten voor waterketen en rioolbeheer te vinden en snel in te laden.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/NAD-Dataplatform/NADmaps]]></homepage>
        <file_name>NADmaps.0.2.zip</file_name>
        <icon>/media/packages/2025/nad.png</icon>
        <author_name><![CDATA[Netwerk Waterketen Delfland]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/NADmaps/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[naddataplatform]]></uploaded_by>
        <create_date>2025-09-02T07:12:59.844891+00:00</create_date>
        <update_date>2025-09-08T09:55:07.890343+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/NAD-Dataplatform/NADmaps/issues]]></tracker>
        <repository><![CDATA[https://github.com/NAD-Dataplatform/NADmaps]]></repository>
        <tags><![CDATA[python,wfs,nederland,pdok]]></tags>
        <downloads>835</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MetaGAM" version="0.1" plugin_id="4168">
        <description><![CDATA[Plugin qui permet de gérer les métadonnées uniques à la métropole de Grenoble.]]></description>
        <about><![CDATA[Automatise le remplissage des métadonnées via les informations déjà saisies en base de données postgresql. Et permet les utilisateurs à remplir les informations manquantes. Ainsi, il permet d&#x27;envoyer les métadonnées sur le Geonetwork de la métropole.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/camptocamp/MetaGAM]]></homepage>
        <file_name>Meta_GAM.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_MeRP306.png</icon>
        <author_name><![CDATA[Amr HAMADEH, Steven PION-ROUX (Grenoble-Alpes Métropole), Moritz KIRMSE (camptocamp)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Meta_GAM/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mkic2c]]></uploaded_by>
        <create_date>2025-09-02T17:19:43.390690+00:00</create_date>
        <update_date>2025-09-03T10:26:51.451106+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/camptocamp/MetaGAM/issues]]></tracker>
        <repository><![CDATA[https://github.com/camptocamp/MetaGAM]]></repository>
        <tags><![CDATA[python,web,export,inspire,metadata,geonetwork]]></tags>
        <downloads>222</downloads>
        <average_vote>0.9990009990009991</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Line Displacement" version="1.0" plugin_id="4173">
        <description><![CDATA[Plugin for cartographic line displacement]]></description>
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        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://robert-pfeffer.net/karten/englisch/nuetzliches.html#Linienverdraengung]]></homepage>
        <file_name>LineDisplacement.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_TxKqFuQ.png</icon>
        <author_name><![CDATA[Robert Pfeffer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LineDisplacement/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[pfeffer]]></uploaded_by>
        <create_date>2025-09-04T06:37:00.457321+00:00</create_date>
        <update_date>2025-09-04T06:37:02.471022+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/RobertPfeffer/LineDisplacement/issues]]></tracker>
        <repository><![CDATA[https://github.com/RobertPfeffer/LineDisplacement]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>403</downloads>
        <average_vote>0.9990009990009991</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CeeThreeDee Qtools" version="0.6" plugin_id="4174">
        <description><![CDATA[A suite of handy QGIS tools for Civil/Geo Engineers and Designers]]></description>
        <about><![CDATA[A suite of tools for civil/geo engineers and designers, including 2D/3D transformations, hydro catchment automatiions, reference management export etc..]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>CeeThreeDeeQTools.0.6.zip</file_name>
        <icon>/media/packages/2025/CeeThreeDeeLogo.ico</icon>
        <author_name><![CDATA[CeeThreeDee]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/CeeThreeDeeQTools/version/0.6/download/</download_url>
        <uploaded_by><![CDATA[ceethreedee]]></uploaded_by>
        <create_date>2025-09-04T13:15:13.245488+00:00</create_date>
        <update_date>2026-02-17T15:47:39.405897+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Kapanther/CeeThreeDeeQTools/issues]]></tracker>
        <repository><![CDATA[https://github.com/Kapanther/CeeThreeDeeQTools]]></repository>
        <tags><![CDATA[vector,cad,export,tools,catchment,reference,hydro,ceethreedee,c3d]]></tags>
        <downloads>595</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QRator" version="1.5" plugin_id="4184">
        <description><![CDATA[Plugin de gestion de projet, analyse des arborescences de couches, des thèmes, des mises en pages et des relations entre les tables. Possibilité d&#x27;exporter qu&#x27;une partie du projet en en filtrant ou enregistrant des paramètres. Un rapport HTML est généré. QRator is a QGIS plugin for project management and analysis. It allows you to explore layers, styles, themes, layouts and relations, filter and export only selected elements, and generate interactive HTML reports for documentation or sharing lightweight subprojects.]]></description>
        <about><![CDATA[Ce plugin permet d&#x27;accéder au contenu d&#x27;un projet QGIS sans l&#x27;ouvrir. Il analyse le code XML du projet et selon les balises, récupère un ensemble de paramètres affichés sous forme de listes regroupées par thématique. Le premier onglet regroupe les couches du projet associées à leurs styles. Le deuxième onglet liste les thèmes de cartes associés à leurs couches et styles. Le troisième onglet regroupe les mises en page. Le quatrième onglet regroupe les relations. Il est possible de cocher certains paramètres parmi ces rubriques afin de constituer un nouveau projet filtré. Depuis le premier onglet, il est possible d&#x27;accéder à un menu contextuel par un clic droit pour créer un fichier QML par style ou d&#x27;appliquer le style à une couche chargée dans le canevas en arrière-plan du plugin. Depuis l&#x27;onglet mise en page, il est possible, par un clic droit, d&#x27;accéder à un menu contextuel pour exporter les mises en page (en pdf ou en png). QRator peut également éditer un fichier HTML qui garde la trace de ce qui a été conservé du projet d&#x27;origine. This plugin allows you to access the contents of a QGIS project without opening it. It analyses the project&#x27;s XML code and, based on the tags, retrieves a set of parameters displayed in lists grouped by theme. The first tab groups the project&#x27;s layers associated with their styles. The second tab lists the map themes associated with their layers and styles. The third tab groups the layouts. The fourth tab groups the relationships. It is possible to check certain parameters among these items in order to create a new filtered project. From the first tab, it is possible to access a context menu by right-clicking to create a QML file by style or to apply the style to a layer loaded in the canvas in the background of the plugin. From the layout tab, you can right-click to access a context menu to export layouts (in PDF or PNG format). QRator can also edit an HTML file that keeps track of what has been retained from the original project.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon></icon>
        <author_name><![CDATA[Caroline Font, Inrap. Copilot, Mistral AI, ChatGPT5]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qrator/version/1.5/download/</download_url>
        <uploaded_by><![CDATA[abaiet]]></uploaded_by>
        <create_date>2025-09-06T05:47:36.705616+00:00</create_date>
        <update_date>2026-02-19T08:47:38.360998+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Bilou020285/qrator/issues]]></tracker>
        <repository><![CDATA[https://github.com/Bilou020285/qrator]]></repository>
        <tags><![CDATA[python,layers,plugin,styles,relations,gis,qgis,themes,layouts,subproject,project management,project analysis,filtered project,html report]]></tags>
        <downloads>575</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Import kmz files" version="0.2" plugin_id="4201">
        <description><![CDATA[Import geopaparazzi tags to csv]]></description>
        <about><![CDATA[Import data from files .kmz generated in Geopaparazzi]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>kmzgeopapaimport.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_qrXJlAG.png</icon>
        <author_name><![CDATA[Juan M. Bernales]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kmzgeopapaimport/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[geociencio]]></uploaded_by>
        <create_date>2025-09-10T18:28:30.224429+00:00</create_date>
        <update_date>2025-09-10T18:28:32.803035+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/geociencio/kmzgeopapaimport]]></tracker>
        <repository><![CDATA[https://github.com/geociencio/kmzgeopapaimport]]></repository>
        <tags><![CDATA[python,kmz,csv]]></tags>
        <downloads>408</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QNotebook" version="1" plugin_id="4203">
        <description><![CDATA[Jupyter-style notebook for QGIS Python Console]]></description>
        <about><![CDATA[Jupyter-style notebook for QGIS Python Console]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/fgianoli/QNotebook/]]></homepage>
        <file_name>qnotebook.1.zip</file_name>
        <icon>/media/packages/2025/icon_P9qnIul.png</icon>
        <author_name><![CDATA[Federico Gianoli]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qnotebook/version/1/download/</download_url>
        <uploaded_by><![CDATA[fritz4]]></uploaded_by>
        <create_date>2025-09-11T12:52:14.875379+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/fgianoli/QNotebook/issues]]></tracker>
        <repository><![CDATA[https://github.com/fgianoli/QNotebook/]]></repository>
        <tags><![CDATA[python,console,development,jupyter,notebook]]></tags>
        <downloads>297</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MDI-DE Metadata Search" version="0.0.1" plugin_id="4213">
        <description><![CDATA[MDI-DE metadata search module]]></description>
        <about><![CDATA[Dieses Plugin basiert auf dem MetaSearch- und GeoPortal.rlp MetadataSearch-QGIS Plugin. Es kann in entfernten CSW-basierten Katalogen nach räumlichen Datensätzen und Diensten suchen. WMS/WFS-Features-Schnittstellen können direkt in den QGIS-Browser geladen werden. This plugin is based on the MetaSearch- and GeoPortal.rlp MetadataSearch-QGIS Plugin. It can search in remote CSW-based catalogues for spatial datsets and services. WMS/WFS Features interfaces can directly be loaded into the QGIS Browser.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.opencode.de/bfn/open-access/qgis-ms]]></homepage>
        <file_name>mdi_de_metadatasearch.0.0.1.zip</file_name>
        <icon>/media/packages/2025/mdi-de_logo_transparent.png</icon>
        <author_name><![CDATA[terrestris GmbH &amp; Co KG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mdi_de_metadatasearch/version/0.0.1/download/</download_url>
        <uploaded_by><![CDATA[hendrikaueplangis]]></uploaded_by>
        <create_date>2025-09-17T09:22:38.473400+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.opencode.de/bfn/open-access/qgis-ms/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.opencode.de/bfn/open-access/qgis-ms#]]></repository>
        <tags><![CDATA[python,wfs,wms,metadata,download,marine daten,marine data,meeresdaten,metadaten]]></tags>
        <downloads>645</downloads>
        <average_vote>4.9950049950049955</average_vote>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Canvas Docker" version="0.1" plugin_id="4219">
        <description><![CDATA[This plugin allows the QGIS map canvas to be undocked and maximized on a secondary screen, freeing up space in the main window for other dockable panels.]]></description>
        <about><![CDATA[Toggle the QGIS map canvas between docked and undocked states using a toolbar button.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>canvas_docker.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_jsSfTAi.png</icon>
        <author_name><![CDATA[Emiel Verstegen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/canvas_docker/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[everstegen]]></uploaded_by>
        <create_date>2025-09-18T09:03:24.108016+00:00</create_date>
        <update_date>2025-09-18T09:03:25.944505+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/emielverstegen/canvas_docker/issues]]></tracker>
        <repository><![CDATA[https://github.com/emielverstegen/canvas_docker]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>236</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="CartoCultures_ML_GEE" version="2.0.2" plugin_id="4220">
        <description><![CDATA[Plugin professionnel de cartographie des cultures avec Machine Learning et Google Earth Engine - Développé au Pôle Digital Agriculture]]></description>
        <about><![CDATA[Plugin QGIS professionnel développé au Pôle Digital de l&#x27;Agriculture pour la cartographie automatisée des cultures agricoles.

PIPELINE COMPLET DE CARTOGRAPHIE :
🛰️ 1. Acquisition d&#x27;Images Satellites (Google Earth Engine)
📊 2. Préparation des Données d&#x27;Entraînement
🤖 3. Entraînement de Modèles ML (Random Forest, SVM, XGBoost, Decision Tree)
🗺️ 4. Classification et Cartographie Automatique
🔧 5. Correction Topologique Avancée

FONCTIONNALITÉS AVANCÉES :
• Intégration complète Google Earth Engine
• 4 algorithmes de Machine Learning optimisés
• Interface graphique professionnelle
• Correction topologique intelligente
• Génération automatique de cartes thématiques
• Validation croisée et métriques de performance
• Export multi-formats (Shapefile, GeoTIFF, PNG)
• Documentation complète et aide contextuelle]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/HibaAamnous/Plugin_QgisCropMapper]]></homepage>
        <file_name>QgisCropMapper.2.0.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Hiba Aamnous - Pôle Digital de l&#x27;Agriculture, de la Forêt et Observatoire de la Sécheresse]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QgisCropMapper/version/2.0.2/download/</download_url>
        <uploaded_by><![CDATA[hiba]]></uploaded_by>
        <create_date>2025-09-19T17:43:50.864682+00:00</create_date>
        <update_date>2025-09-24T18:53:30.111178+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HibaAamnous/Plugin_QgisCropMapper/issues]]></tracker>
        <repository><![CDATA[https://github.com/HibaAamnous/Plugin_QgisCropMapper]]></repository>
        <tags><![CDATA[classification,agriculture,machine learning,google earth engine,télédétection,cultures,cartographie,topologie]]></tags>
        <downloads>1582</downloads>
        <average_vote>3.99800099950025</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Hazmapper" version="0.1.0" plugin_id="4221">
        <description><![CDATA[Display Hazmapper project layers using QGIS]]></description>
        <about><![CDATA[This plugin allows users to interact with Hazmapper/Taggit/GeoAPI data. It allows user to display a hazmapper map project directly on a QGIS map.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.designsafe-ci.org/user-guide/tools/visualization/#hazmapper-user-guide]]></homepage>
        <file_name>Hazmapper.0.1.0.zip</file_name>
        <icon>/media/packages/2025/Hazmapper_stack.png</icon>
        <author_name><![CDATA[DesignSafe-CI]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Hazmapper/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[nathanfranklin]]></uploaded_by>
        <create_date>2025-09-20T02:27:07.268554+00:00</create_date>
        <update_date>2025-09-20T02:27:09.593695+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://www.designsafe-ci.org/help/#support-ticket]]></tracker>
        <repository><![CDATA[https://github.com/TACC/hazmapper-qgis-plugin]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>131</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TrailScan" version="0.1.1" plugin_id="4230">
        <description><![CDATA[Deep learning-based segmentation of skid trails from airborne LiDAR data]]></description>
        <about><![CDATA[TrailScan is a QGIS plugin for automatic mapping of skid trails from Airborne Laser Scanning (ALS) data in forest environments. Input: ALS point clouds (.las / .laz) from aircraft, helicopters, or UAVs. Workflow: 1. Preprocessing – Convert the point cloud into a normalized multi-band raster (DTM, CHM, MRM, VDI). 2. Inference – Apply the pretrained TrailScan deep learning model to generate a probability map (&quot;Trailmap&quot;). The trained TrailScan model is available at https://doi.org/10.25625/GEIP6T. Output: A georeferenced raster (&quot;Trailmap&quot; with values 0–1) indicating the likelihood of skid trail presence, ready for further GIS analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.38.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin]]></homepage>
        <file_name>TrailScan.0.1.1.zip</file_name>
        <icon>/media/packages/2025/TrailScan_Logo_HegxE6X.png</icon>
        <author_name><![CDATA[HAWK Forest Monitoring Lab (Tanja Kempen, Mathias Gröbe, Maximilian Freudenberg, Paul Magdon)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/TrailScan/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[hawkgislab]]></uploaded_by>
        <create_date>2025-09-24T12:30:10.826051+00:00</create_date>
        <update_date>2025-10-07T09:11:10.673962+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/GISLAB-HAWK/TrailScan-QGIS-Plugin]]></repository>
        <tags><![CDATA[lidar,point cloud,forestry,als,deep learning,skid trails]]></tags>
        <downloads>942</downloads>
        <average_vote>4.624710955565277</average_vote>
        <rating_votes>16</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Slope Generator" version="0.1" plugin_id="4255">
        <description><![CDATA[Plugin for generate dynamic slope hatching]]></description>
        <about><![CDATA[This plugin generates slope hachures via QGIS Geometry Generator. Non-destructive styling.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/santerr80/slope_generator]]></homepage>
        <file_name>slope_generator.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_gxjPFKf.png</icon>
        <author_name><![CDATA[santerr80]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/slope_generator/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[santerr1980]]></uploaded_by>
        <create_date>2025-10-04T03:31:44.329142+00:00</create_date>
        <update_date>2025-10-04T03:31:46.834385+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/santerr80/slope_generator/issues]]></tracker>
        <repository><![CDATA[https://github.com/santerr80/slope_generator.git]]></repository>
        <tags><![CDATA[python,layer,style]]></tags>
        <downloads>817</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Brazil Data Cube Catalog" version="0.3" plugin_id="4278">
        <description><![CDATA[Plugin to obtain satellite images provided by the Brazil Data Cube (BDC),
through a query by a spatial extent and a date range.]]></description>
        <about><![CDATA[This plugin allows users to query and retrieve satellite scene mosaics
by defining the collection of interest, a spatial extent, and a date range.

The images are provided by the Brazil Data Cube (BDC), the plugin retrieves
them in Cloud Optimized GeoTIFF (COG) format.

&lt;b&gt;The COG images are only from Brazil&lt;/b&gt;

This plugin is part of the Brazilian Fire Information System (Sisfogo),
develop by National Center to Prevent and Combat Forest fires (Prevfogo/Ibama).

Documentation:
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/bdc_catalog/refs/heads/main/doc/bdc_catalog_en.pdf&quot;&gt;English&lt;/a&gt;
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/bdc_catalog/refs/heads/main/doc/bdc_catalog_pt.pdf&quot;&gt;Portuguese&lt;/a&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/bdc_catalog/wiki]]></homepage>
        <file_name>bdc_catalog.0.3.zip</file_name>
        <icon>/media/packages/2025/bdccatalog_mkLDwB3.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/bdc_catalog/version/0.3/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2025-10-11T22:06:40.338364+00:00</create_date>
        <update_date>2025-10-31T22:43:01.437004+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/bdc_catalog/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/bdc_catalog]]></repository>
        <tags><![CDATA[catalog,brazil data cube,sisfogo,satellite images,prevfogo]]></tags>
        <downloads>907</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Growth Region" version="0.2" plugin_id="4280">
        <description><![CDATA[Plugin to convert a seed-based raster segmentation (Region Growing) into a vector polygon,
with options for geoprocessing overlay (Add, Difference, Clip, or Union).]]></description>
        <about><![CDATA[This plugin creates a raster region using a point clicked on the image, known as a seed.

The region starts at the seed and expands by comparing the seed&#x27;s RGB values with those of neighboring pixels.
If the difference in values is less than a defined threshold (for each channel), the region grows.

Once the region is defined, a polygon is created.
The user can then choose the vector operation to be performed with this polygon on the active vector layer:
Add, Difference, Clip, or Union.

This plugin is part of the Brazilian Fire Information System (Sisfogo),
develop by National Center to Prevent and Combat Forest fires (Prevfogo/Ibama).

Documentation:
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/growth_region/refs/heads/main/doc/growth_region_en.pdf&quot;&gt;English&lt;/a&gt;
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/growth_region/refs/heads/main/doc/growth_region_pt.pdf&quot;&gt;Portuguese&lt;/a&gt;
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/growth_region/refs/heads/main/doc/growth_region_es.pdf&quot;&gt;Spanish&lt;/a&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/growth_region/wiki]]></homepage>
        <file_name>growth_region.0.2.zip</file_name>
        <icon>/media/packages/2025/growth_region_XVDUw5a.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/growth_region/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2025-10-12T16:07:32.324843+00:00</create_date>
        <update_date>2025-10-26T19:54:19.024097+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/growth_region/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/growth_region]]></repository>
        <tags><![CDATA[polygon,region,sisfogo,prevfogo]]></tags>
        <downloads>499</downloads>
        <average_vote>4.799040191961607</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGIS Plugin Templater GUI" version="0.2.0" plugin_id="4292">
        <description><![CDATA[This allows you to use the QGIS Plugin Templater with an interface rather than a command line. And therefore to create your plugin template easily.]]></description>
        <about><![CDATA[This plugin provides a graphical interface for the QGIS Plugin Templater project.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/qgis-plugin-templater-gui/]]></homepage>
        <file_name>qgis_plugin_templater_gui.0.2.0.zip</file_name>
        <icon>/media/packages/2026/default_icon_OVUshQS.png</icon>
        <author_name><![CDATA[Florent FOUGERES]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_plugin_templater_gui/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2025-10-16T06:50:35.201903+00:00</create_date>
        <update_date>2026-03-24T17:43:30.387833+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/oslandia/qgis/qgis-plugin-templater-gui/-/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/oslandia/qgis/qgis-plugin-templater-gui]]></repository>
        <tags><![CDATA[template,plugin,builder,plugins]]></tags>
        <downloads>535</downloads>
        <average_vote>4.999166805532411</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="serviciosIDEE2QGIS" version="0.1" plugin_id="4297">
        <description><![CDATA[Este complemento permite añadir de forma rápida y sencilla servicios web (WMS, WMTS, WFS, etc.) de la Infraestructura de Datos Espaciales de España (IDEE) directamente en QGIS. Facilita el acceso a datos geográficos oficiales del IGN-CNIG y otras instituciones públicas.

This plugin allows you to quickly and easily add web services (WMS, WMTS, WFS, etc.) from the Spanish Spatial Data Infrastructure (IDEE) directly to QGIS. It facilitates access to official geographic data from the IGN-CNIG and other public institutions.]]></description>
        <about><![CDATA[Con este plugin podrás explorar, filtrar y cargar servicios de la IDEE sin necesidad de introducir manualmente las URL. Ideal para usuarios que trabajan con cartografía oficial, geoinformación pública o proyectos de la administración.

With this plugin, you can explore, filter, and load IDEE services without having to manually enter URLs. Ideal for users who work with official cartography, public geoinformation, or government projects.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/IngenieroGeomatico/]]></homepage>
        <file_name>serviciosidee2qgis.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_zcjjWSo.png</icon>
        <author_name><![CDATA[ingenieroGeomatico]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/serviciosidee2qgis/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[ingenierogeomatico]]></uploaded_by>
        <create_date>2025-10-19T11:37:01.805782+00:00</create_date>
        <update_date>2025-10-19T11:37:04.742723+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/IngenieroGeomatico/serviciosIDEE2QGIS]]></tracker>
        <repository><![CDATA[https://github.com/IngenieroGeomatico/serviciosIDEE2QGIS]]></repository>
        <tags><![CDATA[python,ogc,idee,servicios]]></tags>
        <downloads>256</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FloodRiskSwatPlus" version="2.0.0" plugin_id="4300">
        <description><![CDATA[QGIS plugin to assess flood risk impacts in economic terms for SWAT+ scenarios.]]></description>
        <about><![CDATA[FloodRiskSwatPlus is a QGIS plugin designed to assess flood risk impacts in economic terms for scenarios modeled with SWAT+, such as land management changes or climate change projections. It requires watershed layers and daily flow rate output data for multiple scenarios. The plugin includes a tool to generate a damage unit layer based on flood damage maps (currency/m²) for three to five return periods. Using this, the flood risk impact model estimates the expected annual damage (EAD) at the chosen administrative level, providing an economic assessment of the simulated scenarios. Additionally, it calculates the average percentage change in flood probabilities, offering valuable insights for flood risk management and adaptation planning.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/icra/FloodRiskSwatPlus]]></homepage>
        <file_name>floodriskswatplus.2.0.0.zip</file_name>
        <icon>/media/packages/2025/icon_QA2wMdp.png</icon>
        <author_name><![CDATA[Xavier Garcia, Oliu Llorente, Laia Estrada, Vicenç Acuña - ICRA]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/floodriskswatplus/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[oliu]]></uploaded_by>
        <create_date>2025-10-20T09:02:56.176561+00:00</create_date>
        <update_date>2025-10-20T09:02:59.038542+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/icra/FloodRiskSwatPlus/issues]]></tracker>
        <repository><![CDATA[https://github.com/icra/FloodRiskSwatPlus]]></repository>
        <tags><![CDATA[hydrology,flood,risk,climate change,swat+,economic assessment,environmental management,watershed]]></tags>
        <downloads>335</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LER2 Validering" version="0.1.7" plugin_id="4301">
        <description><![CDATA[Nem adgang til LER2 validering]]></description>
        <about><![CDATA[En plugin, der sammen med en konto hos ler2validering.dk giver mulighed for at validere attributter ift. LER2&#x27;s krav direkte i qGIS]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://portal.ler2validering.dk]]></homepage>
        <file_name>ler2validering.0.1.7.zip</file_name>
        <icon>/media/packages/2026/icon_d3VjfFB.png</icon>
        <author_name><![CDATA[qLER ApS]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ler2validering/version/0.1.7/download/</download_url>
        <uploaded_by><![CDATA[mortenpoulsen]]></uploaded_by>
        <create_date>2025-10-20T11:17:51.424633+00:00</create_date>
        <update_date>2026-01-09T08:36:50.487257+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/qleraps/ler2valideringplugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/qleraps/ler2valideringplugin]]></repository>
        <tags><![CDATA[ler2,ler,validering]]></tags>
        <downloads>450</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PalmsCNN - Palm Tree Detection RPAs" version="1.0.1" plugin_id="4314">
        <description><![CDATA[Este plug-in permite detectar automáticamente 3 especies de palmeras en imágenes RGB adquiridas con RPAs: aguaje (Mauritia flexuosa), huasai (Euterpe precautoria) y ungurahui (Oenocarpus bataua). Para obtener buenos resultados, las imágenes deben tener una resolución máxima de 4 cm/píxel. Codiseñado por el IIAP - MINAM, OSINFOR, SERNANP - MINAM, Universidad de Leeds, Universidad de Brescia y la Universidad de Wageningen]]></description>
        <about><![CDATA[El Plug-in de detección de palmeras utiliza modelos de Deep Learning entrenados para detectar automáticamente 3 especies de palmeras: aguaje (Mauritia flexuosa), huasai (Euterpe precatoria), ungurahui (Oenocarpus bataua) (Tagle et al. 2025, https://www.nature.com/articles/s41467-025-58358-5). Este Plug-in ha sido desarrollado en el marco de los proyectos &quot;Supervisiones Optimizadas&quot; y “Nuevos enfoques para comprender el estado de la biodiversidad y contribuir con el bienestar social: estudio de la distribución y degradación de Mauritia flexuosa en la Amazonía&quot; gracias a la colaboración entre el Instituto de Investigaciones de la Amazonía Peruana (IIAP), el Organismo de Supervisión de los Recursos Forestales y de Fauna Silvestre (OSINFOR), el Servicio Nacional de Áreas Naturales Protegidas del Perú (SERNANP), Universidad de Leeds, Universidad de Brescia, Universidad de Wageningen, y el financiamiento de los Fondos Newton, FONDECYT, WWF, GIZ y USAID. Este plugin es mantenido por el Instituto de Investigaciones de la Amazonía Peruana (IIAP), adscrito al Ministerio del Ambiente del Perú (MINAM).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/iiap-gob-pe/PalmsCNN-plugin-QGIS]]></homepage>
        <file_name>deteccion_de_palmeras.1.0.1.zip</file_name>
        <icon>/media/packages/2025/logo_M8YKieg.png</icon>
        <author_name><![CDATA[Susan Palacios, Rodolfo Cardenas, Stephano Torres, Ximena Tagle]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/deteccion_de_palmeras/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[iiapperu]]></uploaded_by>
        <create_date>2025-10-27T20:52:03.159137+00:00</create_date>
        <update_date>2025-10-27T22:03:23.051121+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/iiap-gob-pe/PalmsCNN-plugin-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/iiap-gob-pe/PalmsCNN-plugin-QGIS]]></repository>
        <tags><![CDATA[python,remote sensing,machine learning,deep learning,onnx,drone imagery,environmental analysis,cnn,vegetation mapping,tropical forest,palm detection,rgb imagery,biodiversity monitoring,amazon rainforest]]></tags>
        <downloads>494</downloads>
        <average_vote>4.691946773325129</average_vote>
        <rating_votes>13</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AWS Earth Catalog" version="0.1" plugin_id="4328">
        <description><![CDATA[Plugin to obtain satellite images provided by the Earth AWS,
through a query by a spatial extent and a date range.]]></description>
        <about><![CDATA[This plugin allows users to query and retrieve satellite scene mosaics
by defining the collection of interest, a spatial extent, and a date range.

The images are provided by the Earth AWS, the plugin retrieves
them in Cloud Optimized GeoTIFF (COG) format.

The plugin searches the Sentinel-2 collection.

This plugin is part of the OSGeo Brazil initiative.


Documentation:
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/awse_catalog/refs/heads/main/doc/awse_catalog_en.pdf&quot;&gt;English&lt;/a&gt;
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/awse_catalog/refs/heads/main/doc/awse_catalog_pt.pdf&quot;&gt;Portuguese&lt;/a&gt;
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/awse_catalog/refs/heads/main/doc/awse_catalog_es.pdf&quot;&gt;Spanish&lt;/a&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/awse_catalog/wiki]]></homepage>
        <file_name>awse_catalog.0.1.zip</file_name>
        <icon>/media/packages/2025/awse_catalog.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/awse_catalog/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2025-10-31T22:43:36.867740+00:00</create_date>
        <update_date>2025-10-31T22:43:39.840850+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/awse_catalog/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/awse_catalog]]></repository>
        <tags><![CDATA[catalog,aws,satellite images]]></tags>
        <downloads>273</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MS Planetary Compute Catalog" version="0.1" plugin_id="4329">
        <description><![CDATA[Plugin to obtain satellite images provided by the Microsoft Planetary Compute,
through a query by a spatial extent and a date range.]]></description>
        <about><![CDATA[This plugin allows users to query and retrieve satellite scene mosaics
by defining the collection of interest, a spatial extent, and a date range.

The images are provided by the Microsoft Planetary Compute, the plugin retrieves
them in Cloud Optimized GeoTIFF (COG) format.

The plugin searches the Landsat and Sentinel-2 collections.

This plugin is part of the OSGeo Brazil initiative.


Documentation:
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/mspc_catalog/refs/heads/main/doc/mspc_catalog_en.pdf&quot;&gt;English&lt;/a&gt;
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/mspc_catalog/refs/heads/main/doc/mspc_catalog_pt.pdf&quot;&gt;Portuguese&lt;/a&gt;
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/mspc_catalog/refs/heads/main/doc/mspc_catalog_es.pdf&quot;&gt;Spanish&lt;/a&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/mspc_catalog/wiki]]></homepage>
        <file_name>mspc_catalog.0.1.zip</file_name>
        <icon>/media/packages/2025/mspc_catalog.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/mspc_catalog/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2025-10-31T22:44:00.702449+00:00</create_date>
        <update_date>2025-10-31T22:44:02.820047+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/mspc_catalog/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/mspc_catalog]]></repository>
        <tags><![CDATA[catalog,satellite images,microsoft planetary compute]]></tags>
        <downloads>215</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="knGML2GPKG" version="0.1" plugin_id="4333">
        <description><![CDATA[Convert Slovak cadastral GML files (KN Register C and E) to GeoPackage or DXF with automatic coordinate transformation and fixes]]></description>
        <about><![CDATA[This plugin converts Slovak cadastral GML files (Register C and Register E) to GeoPackage (GPKG) or DXF format. It automatically handles coordinate transformation from EPSG:4258 to EPSG:5514, fixes corrupt parcels with swapped coordinates, and applies default styling. Supports batch processing of multiple GML file pairs.

IMPORTANT: Users must first install the required coordinate transformations according to instructions at: https://www.skgeodesy.sk/files/gku/produkty-sluzby/na-stiahnutie/s-jtsk_jtsk03_v_qgis.pdf

Support creator at: https://ko-fi.com/jancabaj]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jancabaj/kngml2gpkg]]></homepage>
        <file_name>knGML2GPKG.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_BkE8Ub9.png</icon>
        <author_name><![CDATA[Jan Cabaj]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/knGML2GPKG/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[jancabaj]]></uploaded_by>
        <create_date>2025-11-02T16:24:05.542256+00:00</create_date>
        <update_date>2025-11-02T16:24:07.882887+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jancabaj/kngml2gpkg/issues]]></tracker>
        <repository><![CDATA[https://github.com/jancabaj/kngml2gpkg]]></repository>
        <tags><![CDATA[gml,dxf,cadastre,conversion,transform,gpkg,slovakia]]></tags>
        <downloads>634</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="wflow NBS design tool" version="0.1.2" plugin_id="4336">
        <description><![CDATA[With the wflow NBS design tool plugin, users can easily benefit from the rich set of tools of the Hydro-MT package to build and update WFlow models from available GIS-data. This pluing leverages the functionality of QGis with HydroMT.]]></description>
        <about><![CDATA[With the wflow NBS design tool plugin, users can easily benefit from the rich set of tools of the Hydro-MT package to build and update WFlow models from available GIS-data. This pluing leverages the functionality of QGis with HydroMT.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.36.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.deltares.nl/en/software-and-data/products/wflow-catchment-hydrology-modelling]]></homepage>
        <file_name>qgis_wflow.0.1.2.zip</file_name>
        <icon>/media/packages/2026/wflow_logo.png</icon>
        <author_name><![CDATA[Peter van Tol]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_wflow/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[petervantol]]></uploaded_by>
        <create_date>2025-11-03T13:01:34.894922+00:00</create_date>
        <update_date>2026-04-17T15:29:09.125229+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/witteveenbos/wflow-qgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/witteveenbos/wflow-qgis]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>433</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Walk Potential" version="0.3.0" plugin_id="4337">
        <description><![CDATA[A plugin to analyze pedestrian demand for urban planning]]></description>
        <about><![CDATA[This plugin generates a heatmap showing the degree to which locations
have pedestrian access to shops, parks, restaurants, and other services
nearby. It is not a &quot;walkability&quot; metric because comfort is not considered. Instead it&#x27;s a useful planning tool to combine
with other metrics of sidewalk presence like condition to determine where to prioritize funding pedestrian facilities.

By default, it uses a free isochrone service to calculate travel times which may be slow or have usage limits. Alternately, you can
supply your own service URL. OpenStreetMap is queried to determine nearby amenities.

A default set of amenities is provided, but you can provide your own. See README.md for more details.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mark.stosberg.com/new-software-to-calculate-walk-potential-for-cities/]]></homepage>
        <file_name>walk_potential.0.3.0.zip</file_name>
        <icon>/media/packages/2025/walk-potential_bc00IZN.png</icon>
        <author_name><![CDATA[Mark Stosberg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/walk_potential/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[markstosberg]]></uploaded_by>
        <create_date>2025-11-04T03:09:06.064849+00:00</create_date>
        <update_date>2025-11-07T13:28:32.652479+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/markstos/qgis-walk-potential/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/markstos/qgis-walk-potential]]></repository>
        <tags><![CDATA[analysis,urban planning,walking,bicycling.]]></tags>
        <downloads>212</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Models to plugin" version="latest" plugin_id="4347">
        <description><![CDATA[This plugin helps you for generating a plugin embedding your models]]></description>
        <about><![CDATA[This plugin helps you for generating a plugin embedding your models]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/marcu/models2plugin]]></homepage>
        <file_name>models2plugin.latest.zip</file_name>
        <icon>/media/packages/2026/icon_nFBAGrX.png</icon>
        <author_name><![CDATA[Marc Ducobu, Etienne Trimaille]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/models2plugin/version/latest/download/</download_url>
        <uploaded_by><![CDATA[marcu]]></uploaded_by>
        <create_date>2025-11-07T11:39:26.321230+00:00</create_date>
        <update_date>2025-11-07T11:39:28.386228+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/marcu/models2plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/marcu/models2plugin]]></repository>
        <tags><![CDATA[processing,generator,plugin,model]]></tags>
        <downloads>406</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="route-planner" version="0.1" plugin_id="4353">
        <description><![CDATA[Calculating the best route between two chosen point in terrain conditions.]]></description>
        <about><![CDATA[The plugin calculates the best route between two chosen points under terrain conditions, based on chosen input raster layers of the area.
The calculation considers terrain, land cover and road network.
Important remark: The files have to be in the same CRS, otherwise the plugin will run into an error.
The methodology is based on: https://doi.org/10.5194/ica-proc-4-4-2021]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/sarkozyzsofi/routeplanning]]></homepage>
        <file_name>routeplanning.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_ZolXPpN.png</icon>
        <author_name><![CDATA[Zsofia Sarközy]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/routeplanning/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[sarkozyzsofi]]></uploaded_by>
        <create_date>2025-11-11T11:01:39.102863+00:00</create_date>
        <update_date>2025-11-11T11:01:41.668183+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sarkozyzsofi/routeplanning/issues]]></tracker>
        <repository><![CDATA[https://github.com/sarkozyzsofi/routeplanning]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>190</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="XMAS-Plugin" version="0.20.5" plugin_id="4364">
        <description><![CDATA[Create and edit XLeitstelle application schema data with QGIS]]></description>
        <about><![CDATA[EN: The XLeitstelle model-driven application schema plugin enables visualization, digitizing and editing of data according to geospatial standards of the german XLeitstelle Planning and Building, e.g. XPlanung and XTrasse

The plugin has the following dependencies, which can be installed automatically:
- PyQtWebEngine: modern, chromium-based browser engine
- XMAS-App: complementary web application, can also be deployed externally (see docs - only available in German)

DE: Das XLeitstelle modellgetriebene Anwendungschema Plugin ermöglicht die Visualisierung, Digitalisierung und Bearbeitung von Daten nach Standards der XLeitstelle Planen und Bauen, z.B. XPlanung und XTrasse.

Das Plugin hat folgende Abhängigkeiten, die automatisch installiert werden können:
- PyQtWebEngine: moderne, Chromium-basierte Browser-Engine
- XMAS-App: die komplementäre Webanwendung, kann auch extern bereitgestellt werden (siehe Dokumentation)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://xleitstelle.usercontent.opencode.de/xmas-plugin/]]></homepage>
        <file_name>xmas_plugin.0.20.5.zip</file_name>
        <icon>/media/packages/2026/xmas_plugin_69UZ3d1.svg</icon>
        <author_name><![CDATA[XLeitstelle Planen und Bauen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/xmas_plugin/version/0.20.5/download/</download_url>
        <uploaded_by><![CDATA[kraftto]]></uploaded_by>
        <create_date>2025-11-14T15:34:48.906854+00:00</create_date>
        <update_date>2026-04-16T08:26:30.291566+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.opencode.de/xleitstelle/xmas-plugin/issues]]></tracker>
        <repository><![CDATA[https://gitlab.opencode.de/xleitstelle/xmas-plugin]]></repository>
        <tags><![CDATA[gml,xplanung,xleitstelle,xtrasse,bauleitplanung]]></tags>
        <downloads>2246</downloads>
        <average_vote>4.642525533890437</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="LinQ" version="1.2" plugin_id="4365">
        <description><![CDATA[LinQ permet d&#x27;afficher un diagramme des relations enregistrées dans le projet. La flèche entre les tables indique le sens de la relation (parent vers enfant). Il est possible de charger des tables dans la partie inférieure afin d&#x27;afficher les relations enfants existantes pour chacune des tables chargées et d&#x27;établir de nouvelles relations d&#x27;enfant vers parent par cliquer/glisser de la table enfant vers la table parent. LinQ allows you to display a diagram of the relationships recorded in the project. The arrow between tables indicates the direction of the relationship (parent to child). Tables can be loaded in the lower section to display the existing child relationships for each of the loaded tables and to establish new child-to-parent relationships by clicking and dragging the child table to the parent table.]]></description>
        <about><![CDATA[Ce plugin permet d&#x27;afficher sous forme de diagramme les relations enregistrées dans un projet. L&#x27;application Graphviz est recommandée pour obtenir un affichage sous la forme d&#x27;un diagramme. Cette application peut être installée depuis la ligne de commande suivante : WINDOWS (winget install Graphviz.Graphviz) ; MAC (brew install graphviz) ; LINUX (sudo apt install graphviz). La flèche indique le sens de la relation : depuis la table parent, vers la table enfant. Un clic-droit sur cette dernière permet d&#x27;afficher les champs référencées dans la relation. Il est possible de chercher une table grâce à un champ de filtre et d&#x27;exporter le diagramme sous le format SVG ou le format XML (compatible avec le logiciel draw.io). Un double clic sur une table charge cette dernière dans la section inférieure. Une liste des entités présentes apparaît et une arborescence permet d&#x27;accéder à la liste des entités enfants par table en relation. Il est possible de choisir le champ affiché dans la liste pour les entités parents, et pour les entités enfants. Le chargement d&#x27;autres tables en relation permet par cliquer/glisser d&#x27;établir une nouvelle relation entre parent et enfant. Dans le cas de relations de plusieurs à plusieurs, le formulaire pré-rempli des clés étrangères s&#x27;affiche et permet de saisir les éventuels champs de la table de jonction. Il est également possible de délier des entités enfants depuis la table parent par un clic-droit sur l&#x27;entité à délier. This plugin allows you to display the relationships recorded in a project in diagram form. The Graphviz application is recommended for displaying diagrams. This application can be installed using the following command line: WINDOWS (winget install Graphviz.Graphviz); MAC (brew install graphviz); LINUX (sudo apt install graphviz). The arrow indicates the direction of the relationship: from the parent table to the child table. Right-clicking on the latter displays the fields referenced in the relationship. It is possible to search for a table using a filter field and export the diagram in SVG or XML format (compatible with draw.io software). Double-clicking on a table loads it into the lower section. A list of entities appears, and a tree structure allows you to access the list of child entities by related table. You can choose the field displayed in the list for parent entities and for child entities. Loading other related tables allows you to establish a new parent-child relationship by clicking and dragging. In the case of many-to-many relationships, the pre-filled foreign key form is displayed, allowing you to enter any fields from the join table. It is also possible to unlink child entities from the parent table by right-clicking on the entity to be unlinked.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Bilou020285/linq]]></homepage>
        <file_name>LinQ.1.2.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Caroline Font, Inrap. ChatGPT5]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/LinQ/version/1.2/download/</download_url>
        <uploaded_by><![CDATA[abaiet]]></uploaded_by>
        <create_date>2025-11-15T16:45:46.597199+00:00</create_date>
        <update_date>2025-12-17T14:43:47.628866+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Bilou020285/linq/issues]]></tracker>
        <repository><![CDATA[https://github.com/Bilou020285/linq]]></repository>
        <tags><![CDATA[python,plugin,relations,qgis]]></tags>
        <downloads>295</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OBM Connect" version="0.7.0.1" plugin_id="4370">
        <description><![CDATA[Plugin for connecting to OpenBioMaps and loading spatial layers.]]></description>
        <about><![CDATA[&lt;b&gt;OBM Connect&lt;/b&gt; is a QGIS plugin designed to allow users to seamlessly connect to the OpenBioMaps database from within the QGIS environment.&lt;br&gt;&lt;br&gt;Its main functionalities include:&lt;ul&gt;&lt;li&gt;&lt;b&gt;User Authentication:&lt;/b&gt; Enables users to log in directly to their OpenBioMaps account.&lt;/li&gt; &lt;li&gt;&lt;b&gt;Spatial Data Access:&lt;/b&gt; Allows authenticated users to conveniently browse, select, and load spatial layers and datasets from OpenBioMaps into QGIS.&lt;/li&gt; &lt;li&gt;&lt;b&gt;Integrated Workflow:&lt;/b&gt; Streamlines data-import workflows for biodiversity, ecological, and environmental projects by providing direct access to official OpenBioMaps repositories.&lt;/li&gt;&lt;/ul&gt;This plugin is ideal for researchers, ecologists, and GIS specialists who regularly work with biodiversity and environmental spatial data, ensuring efficient access to up-to-date datasets while maintaining secure credential management.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gitlab.com/gezsaj/obm_connect]]></homepage>
        <file_name>obm_connect.0.7.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_A22hhe2.png</icon>
        <author_name><![CDATA[Attila Gáspár]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/obm_connect/version/0.7.0.1/download/</download_url>
        <uploaded_by><![CDATA[gezsaj]]></uploaded_by>
        <create_date>2025-11-17T19:36:03.653176+00:00</create_date>
        <update_date>2026-01-05T10:45:16.179238+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/gezsaj/obm_connect/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/gezsaj/obm_connect]]></repository>
        <tags><![CDATA[python,qgis,openbiomaps,obm]]></tags>
        <downloads>252</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Magic Georeferencer" version="1.1.0" plugin_id="4380">
        <description><![CDATA[AI-powered automatic image georeferencing using MatchAnything deep learning model]]></description>
        <about><![CDATA[Automatically georeference maps, aerial photos, and sketches using the MatchAnything deep learning model. Simply navigate to the approximate location and let AI find the matching features.
.
Features:
- Zero manual GCP placement - fully automated
- Cross-modality support (maps to aerial, aerial to maps, sketches to maps)
- Progressive multi-scale refinement for improved accuracy
- GPU acceleration with automatic CPU fallback
- Confidence-based match filtering
.
Requirements:
- QGIS 3.22 or higher (Windows, macOS, Linux)
- Python 3.9+ (bundled with QGIS)
- 8 GB RAM minimum, 16 GB recommended
- ~2 GB disk space for model cache
- Optional: NVIDIA GPU with CUDA for faster processing
.
External Dependencies (auto-installed on first run):
- PyTorch &gt;= 2.0.0 and TorchVision &gt;= 0.15.0 (deep learning framework)
- Transformers &gt;= 4.30.0 (HuggingFace model support)
- OpenCV &gt;= 4.8.0 (image processing)
- SciPy &gt;= 1.9.0 (scientific computing)
.
The plugin automatically downloads the AI model weights (~400 MB) from HuggingFace on first use.
.
Platform Support: Works on Windows, macOS, and Linux. GPU acceleration requires NVIDIA CUDA-capable GPU (optional, CPU fallback available).
.
License: Apache License 2.0]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FungoBungaloid/georefio]]></homepage>
        <file_name>magic_georeferencer.1.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_9kTTeFi.png</icon>
        <author_name><![CDATA[Magic Georeferencer Team]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/magic_georeferencer/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[fungobungaloid]]></uploaded_by>
        <create_date>2025-11-21T02:50:49.771956+00:00</create_date>
        <update_date>2025-11-28T11:06:39.900299+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FungoBungaloid/georefio/issues]]></tracker>
        <repository><![CDATA[https://github.com/FungoBungaloid/georefio]]></repository>
        <tags><![CDATA[raster,georeferencing,machine learning,deep learning,automation,ai,image matching]]></tags>
        <downloads>1912</downloads>
        <average_vote>4.940885830245279</average_vote>
        <rating_votes>17</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geocodificación Inversa Catastral" version="1.2.0" plugin_id="4387">
        <description><![CDATA[&quot;This plugin takes a point layer (e.g., stops or origin/destination zones) and automatically reprojects it to WGS 84. It uses Nominatim, the official reverse geocoding service from OpenStreetMap, to retrieve standardized addresses for each point. Addresses are adapted using Colombian cadastral abbreviations, enabling integration with urban validation systems and territorial databases. Optimized for secure workflows, the plugin processes up to 1500 addresses per session, respecting service limits and preventing blocking. Ideal for waste management companies, urban planners, and environmental technicians working with GIS.&quot;]]></description>
        <about><![CDATA[&quot;This plugin takes a point layer (e.g., stops or origin/destination zones) and automatically reprojects it to WGS 84. It uses Nominatim, the official reverse geocoding service from OpenStreetMap, to retrieve standardized addresses for each point. Addresses are adapted using Colombian cadastral abbreviations, enabling integration with urban validation systems and territorial databases. Optimized for secure workflows, the plugin processes up to 1500 addresses per session, respecting service limits and preventing blocking. Ideal for waste management companies, urban planners, and environmental technicians working with GIS.&quot;]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/juanarango3110/qgis-geocodificacion-inversa]]></homepage>
        <file_name>geocodificacion_inversa.1.2.0.zip</file_name>
        <icon>/media/packages/2025/icon_a2Stv9b.png</icon>
        <author_name><![CDATA[Daniel Arango Irreño]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocodificacion_inversa/version/1.2.0/download/</download_url>
        <uploaded_by><![CDATA[danielarango3110]]></uploaded_by>
        <create_date>2025-11-23T16:23:09.394869+00:00</create_date>
        <update_date>2025-11-24T17:10:13.362927+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/juanarango3110/qgis-geocodificacion-inversa/issues]]></tracker>
        <repository><![CDATA[https://github.com/juanarango3110/qgis-geocodificacion-inversa.git]]></repository>
        <tags><![CDATA[]]></tags>
        <downloads>150</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Filtre Palantir" version="1.0" plugin_id="4396">
        <description><![CDATA[Filtre une couche par datation ou thématique.

Filter a layer using datation or theme fields.]]></description>
        <about><![CDATA[Palantir est un plugin qui permet d&#x27;appliquer un filtre par datation et/ou thématique à une couche vecteur du projet. Le filtre est dynamique et permet une visualisation simplifiée des données. Le champs date doit être sous le format AAAA.

Palantir is a plugin that allows you to apply a filter by date and/or theme to a vector layer in your project. The filter is dynamic and provides simplified data visualization. The date field must be in YYYY format.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/WendyLAURENT/Palantir]]></homepage>
        <file_name>filtre_date.1.0.zip</file_name>
        <icon>/media/packages/2025/icon_XSKUVtB.png</icon>
        <author_name><![CDATA[Wendy Laurent (Ville d&#x27;Orléans) avec la contribution de Julien Courtois (Ville d&#x27;Orléans), Mélanie Fondrillon (Communauté d’agglomération Bourges Plus), Anaïs Pinhède (Chartres Métropole) et Xavier Rolland (Communauté d’agglomération Bourges Plus)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/filtre_date/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[laurentw]]></uploaded_by>
        <create_date>2025-11-25T13:59:15.617441+00:00</create_date>
        <update_date>2025-11-25T13:59:17.955931+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/WendyLAURENT/Palantir/issues]]></tracker>
        <repository><![CDATA[https://github.com/WendyLAURENT/Palantir]]></repository>
        <tags><![CDATA[thématique,filtre,datation]]></tags>
        <downloads>207</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SeisPlotPy" version="0.9.9" plugin_id="4407">
        <description><![CDATA[2D SEG-Y (post-stack) data visualization, analysis, and interpretation inside QGIS.]]></description>
        <about><![CDATA[SeisPlotPy is a modern seismic viewer and interpretation tool integrated directly into QGIS. It loads SEG-Y data using segyio, displays seismic profiles with pyqtgraph, links navigation to the QGIS map canvas, and provides tools for interpretation, attribute computation, header editing, and export for further analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/arjun-vh/SeisPlotPy-QGIS]]></homepage>
        <file_name>SeisPlotPy.0.9.9.zip</file_name>
        <icon>/media/packages/2026/icon_ZRYcFNw.png</icon>
        <author_name><![CDATA[Arjun V H]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SeisPlotPy/version/0.9.9/download/</download_url>
        <uploaded_by><![CDATA[arjunvh]]></uploaded_by>
        <create_date>2025-12-01T08:51:49.902934+00:00</create_date>
        <update_date>2026-02-09T05:50:37.054540+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/arjun-vh/SeisPlotPy-QGIS/issues]]></tracker>
        <repository><![CDATA[https://github.com/arjun-vh/SeisPlotPy-QGIS]]></repository>
        <tags><![CDATA[seismic,geophysics,sub-bottom profiler,segy,subsurface,reflection]]></tags>
        <downloads>753</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DMPlugin" version="0.1" plugin_id="4417">
        <description><![CDATA[-Connect to Dameng database and import spatial data into QGIS]]></description>
        <about><![CDATA[This plugin was built with the Plugin Builder in QGIS.

Please make sure the dmPython Python extensions are installed!

This plugin is designed for Dameng Database. It can be used to connect to

Dameng Database and import the selected spatial data tables into QGIS (Quantum

Geographic Information System) for display as temporary layers. Additionally, the

plugin allows setting filter conditions for the data in the selected spatial data

tables, such as SRID (Spatial Reference Identifier), data type, and ROWNUM.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DamengDB/DMPlugin]]></homepage>
        <file_name>DMplugin.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_4IfQELL.png</icon>
        <author_name><![CDATA[Dameng]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/DMplugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[dmgis]]></uploaded_by>
        <create_date>2025-12-02T06:51:04.527734+00:00</create_date>
        <update_date>2025-12-02T06:51:06.568785+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DamengDB/DMPlugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/DamengDB/DMPlugin]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>128</downloads>
        <average_vote>4.497751124437781</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Kataster SR" version="0.13" plugin_id="4427">
        <description><![CDATA[Load cadastral parcels from Slovak Cadastre via OGC API]]></description>
        <about><![CDATA[Plugin ma 2 funkcie - 1. stahuje kataster do GPKG / 2. otvori kataster v prehliadaci podla aktualnych suradnic v QGIS
staci zadat nazov alebo kod KÚ a stiahne vrstvy podla vyberu, pripadne transformuje do 5514 - ulozi GPKG do zvoleneho adresara
presnost sub 1 cm (tak ako INSPIRE GML, zdroj je EPSG 4326)
stahuje z INSPIRE OGC API, ktore je podla VÚGK v overovacej prevadzke a preto je plugin v sekcii experimentalne

z mojich testov su problematicke zial prave parcely C, niekedy to funguje na druhy, treti pokus ale niektore obce, najma vacsie mesta mi stiahlo iba parcely E a hranicu KÚ, pripadne ani to
ak by chcel niekto ine styly na stiahnute vrstvy staci prepisat qml subory v adresari pluginu svojimi vlastnymi

Za data dakujeme: © VÚGK (Výskumný ústav geodézie a kartografie v Bratislave), INSPIRE ukladacie služby

NOVINKA v0.13: Moznost stiahnut cely okres alebo kraj naraz - vhodne najma pre CadastralUnit. Dalej rezim vytvorenia hromadneho GPKG a suvisiaci filter podla nazvu alebo kodu katastralneho uzemia. Pozor! - po stiahnuti uzemia, ktore uz v hromadnom subore je, sa toto prepise.

NOVINKA v0.12: Plugin uz obsahuje vlastnu transformaciu EPSG:4326 -&gt; EPSG:5514 s oficialnou SK GKU transformaciou a grid suborom.
Transformacia funguje automaticky pri zaznaceni &quot;Transform to EPSG:5514&quot; - nie je potrebne nastavovat v QGIS manualne!

Support creator at: https://ko-fi.com/jancabaj]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/jancabaj/qgis-kataster]]></homepage>
        <file_name>kataster.0.13.zip</file_name>
        <icon>/media/packages/2026/icon_eXnK4DX.png</icon>
        <author_name><![CDATA[jancabaj]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kataster/version/0.13/download/</download_url>
        <uploaded_by><![CDATA[jancabaj]]></uploaded_by>
        <create_date>2025-12-04T19:36:01.216065+00:00</create_date>
        <update_date>2026-01-25T20:29:04.124617+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jancabaj/qgis-kataster/issues]]></tracker>
        <repository><![CDATA[https://github.com/jancabaj/qgis-kataster]]></repository>
        <tags><![CDATA[vector,cadastre,ogc,parcels,slovakia,zbgis]]></tags>
        <downloads>585</downloads>
        <average_vote>4.666277810182485</average_vote>
        <rating_votes>12</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="sQlER" version="1.1" plugin_id="4435">
        <description><![CDATA[sQlER (prononcé sequeler) permet de visualiser un diagramme entité-relation à partir d&#x27;un code SQL importé ou saisi. Il est possible d&#x27;exporter le diagramme en SVG ou au format drawio pour générer une illustration. Le code SQL peut être injecté dans une base de données Spatialite existante. sQlER (pronounced sequeler) allows you to view an entity-relationship diagram from imported or entered SQL code. The diagram can be exported in SVG or drawio format to generate an illustration. The SQL code can be injected into an existing Spatialite database.]]></description>
        <about><![CDATA[sQlER (prononcé sequeler) permet de visualiser un diagramme entité-relation à partir d&#x27;un code SQL importé ou saisi. Il est possible d&#x27;exporter le diagramme en SVG ou au format drawio pour générer une illustration. Le code SQL peut être injecté dans une base de données Spatialite existante. sQlER (pronounced sequeler) allows you to view an entity-relationship diagram from imported or entered SQL code. The diagram can be exported in SVG or drawio format to generate an illustration. The SQL code can be injected into an existing Spatialite database.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Bilou020285/sqler]]></homepage>
        <file_name>sQlER.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Caroline Font, Inrap. ChatGPT5]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sQlER/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[abaiet]]></uploaded_by>
        <create_date>2025-12-08T12:34:26.388789+00:00</create_date>
        <update_date>2026-03-27T14:20:41.011947+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Bilou020285/sqler/issues]]></tracker>
        <repository><![CDATA[https://github.com/Bilou020285/sqler]]></repository>
        <tags><![CDATA[python,sql,plugin,diagram,relations,qgis]]></tags>
        <downloads>186</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Magnifier" version="0.1" plugin_id="4441">
        <description><![CDATA[Plugin to use a magnifier to show one layer or group over cursor.]]></description>
        <about><![CDATA[This plugin allows users to see the a layer or group.

This plugin is part of the Brazilian Fire Information System (Sisfogo),
develop by National Center to Prevent and Combat Forest fires (Prevfogo/Ibama).

Documentation:
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/magnifier/refs/heads/main/doc/magnifier_en.pdf&quot;&gt;English&lt;/a&gt;
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/magnifier/refs/heads/main/doc/magnifier_es.pdf&quot;&gt;Spanish&lt;/a&gt;
&lt;a href=&quot;https://raw.githubusercontent.com/lmotta/magnifier/refs/heads/main/doc/magnifier_pt.pdf&quot;&gt;Portuguese&lt;/a&gt;]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lmotta/magnifier/wiki]]></homepage>
        <file_name>magnifier.0.1.zip</file_name>
        <icon>/media/packages/2025/magnifier.svg</icon>
        <author_name><![CDATA[Luiz Motta]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/magnifier/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[lmotta]]></uploaded_by>
        <create_date>2025-12-10T01:53:50.185226+00:00</create_date>
        <update_date>2025-12-10T01:53:53.099299+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lmotta/magnifier/issues]]></tracker>
        <repository><![CDATA[https://github.com/lmotta/magnifier]]></repository>
        <tags><![CDATA[sisfogo,prevfogo,magnifier]]></tags>
        <downloads>434</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SamGeo" version="1.3.0" plugin_id="4445">
        <description><![CDATA[Segment remote sensing images using SAM (Segment Anything Model) with text, point, and box prompts.]]></description>
        <about><![CDATA[A QGIS plugin for remote sensing image segmentation powered by Meta&#x27;s Segment Anything Model (SAM).
Features include:
- Text-based segmentation (describe what you want to segment)
- Interactive point prompts (click to segment objects)
- Box prompts (draw rectangles to segment regions)
- Save results as vector layers or GeoTIFF rasters
- Support for GeoTIFF and common image formats]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/opengeos/qgis-samgeo-plugin]]></homepage>
        <file_name>samgeo.1.3.0.zip</file_name>
        <icon>/media/packages/2026/icon_dHfzVyl.png</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/samgeo/version/1.3.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-10T12:47:07.782574+00:00</create_date>
        <update_date>2026-02-27T22:34:32.982316+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/qgis-samgeo-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/qgis-samgeo-plugin]]></repository>
        <tags><![CDATA[geospatial,remote sensing,machine learning,segmentation,deep learning,ai,sam]]></tags>
        <downloads>3563</downloads>
        <average_vote>4.28510212826739</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GeoAI" version="0.2.0" plugin_id="4446">
        <description><![CDATA[GeoAI plugin for QGIS providing AI-powered geospatial analysis including tree segmentation (DeepForest), water segmentation (OmniWaterMask), Moondream vision-language model, Segment Anything (SAM1/SAM2/SAM3), semantic segmentation, and instance segmentation (Mask R-CNN).]]></description>
        <about><![CDATA[This plugin provides AI-powered geospatial analysis tools:

Built-in Dependency Installer:
- One-click installation of all AI dependencies
- Automatic GPU detection (NVIDIA CUDA, Apple MPS)

Tree Segmentation (DeepForest):
- Detect tree crowns, birds, livestock, nests, and dead trees using pretrained models
- Run predictions on single images or large tiles with patch-based inference

Water Segmentation (OmniWaterMask):
- Automated water body detection from satellite and aerial imagery
- Output as raster or vector with optional OSM data integration

Moondream Vision-Language Model:
- Caption: Generate descriptions of geospatial imagery
- Query: Ask questions about images using natural language
- Detect: Detect and locate objects with bounding boxes
- Point: Locate specific objects with point markers

Segment Anything with SAM 3:
- Segment objects using text prompts (e.g., &quot;tree&quot;, &quot;building&quot;, &quot;road&quot;)
- Segment using point prompts (foreground/background) or box prompts drawn on the map
- Process multiple points interactively or from vector files/layers
- Save results as raster (GeoTIFF) or vector (GeoPackage, Shapefile) with optional regularization

Semantic Segmentation:
- Train custom segmentation models (U-Net, DeepLabV3+, FPN, etc.)
- Run inference on raster imagery
- Export results as vector or raster data

Instance Segmentation (Mask R-CNN):
- Train Mask R-CNN models for instance-level object detection and segmentation
- Run inference on raster imagery with vectorized output

Requires the geoai-py Python package and PyTorch. CUDA or MPS support recommended for optimal performance.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://opengeoai.org]]></homepage>
        <file_name>geoai.0.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_BrTs6Y5.png</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoai/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-11T14:18:04.796427+00:00</create_date>
        <update_date>2025-12-14T01:12:06.110482+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/geoai/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/geoai]]></repository>
        <tags><![CDATA[geospatial,remote sensing,machine learning,segmentation,deep learning,ai,deepforest,instance segmentation,object detection,vision language model,moondream,samgeo,mask rcnn,water segmentation]]></tags>
        <downloads>23307</downloads>
        <average_vote>4.752170334775799</average_vote>
        <rating_votes>113</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="HyperCoast" version="0.2.0" plugin_id="4450">
        <description><![CDATA[Visualize and analyze hyperspectral data including EMIT, PACE, DESIS, NEON, AVIRIS, PRISMA, EnMAP, Tanager, and Wyvern datasets]]></description>
        <about><![CDATA[HyperCoast QGIS Plugin provides powerful tools for hyperspectral data visualization and analysis. Features include:
- Load and display various hyperspectral formats (EMIT, PACE, DESIS, NEON, AVIRIS, PRISMA, EnMAP, Tanager, Wyvern)
- Interactive band combination visualization
- Spectral signature inspection with click-to-plot functionality
- Export spectral profiles to CSV
- PCA analysis and visualization
- RGB composite creation with customizable wavelength selection]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://hypercoast.org]]></homepage>
        <file_name>hypercoast.0.2.0.zip</file_name>
        <icon>/media/packages/2026/hypercoast_z76sJLb.png</icon>
        <author_name><![CDATA[Qiusheng Wu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/hypercoast/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[giswqs]]></uploaded_by>
        <create_date>2025-12-12T20:15:34.002408+00:00</create_date>
        <update_date>2025-12-14T01:14:08.525258+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/opengeos/HyperCoast/issues]]></tracker>
        <repository><![CDATA[https://github.com/opengeos/HyperCoast]]></repository>
        <tags><![CDATA[analysis,remote sensing,spectral,visualization,hyperspectral,emit,pace]]></tags>
        <downloads>964</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Attribute Value Panel" version="0.7.5" plugin_id="4461">
        <description><![CDATA[Lists attribute values of selected features vertically]]></description>
        <about><![CDATA[This plugin provides a dockable panel for viewing and editing the attribute values of selected features. By listing field-value pairs vertically without gaps, it improves data visibility when dealing with numerous fields.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.14.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://plugins.qgis.org/plugins/AttributeValuePanel]]></homepage>
        <file_name>AttributeValuePanel.0.7.5.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Tarot Osuji]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/AttributeValuePanel/version/0.7.5/download/</download_url>
        <uploaded_by><![CDATA[tarot]]></uploaded_by>
        <create_date>2025-12-14T16:05:45.995688+00:00</create_date>
        <update_date>2026-03-15T14:19:40.333443+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tarot231/qgis-attribute-value-panel-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/tarot231/qgis-attribute-value-panel-plugin]]></repository>
        <tags><![CDATA[attribute,panel]]></tags>
        <downloads>729</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Q2G - QGIS to GeoServer Connector" version="0.9.4" plugin_id="4478">
        <description><![CDATA[A powerful QGIS plugin for uploading, managing, and styling geospatial data on GeoServer. Perfect for professional geospatial workflows.]]></description>
        <about><![CDATA[Q2G is a powerful QGIS plugin that streamlines the process of uploading layers and managing styles on GeoServer through a user-friendly interface. It allows users to upload QGIS layers to GeoServer in multiple formats, manage SLD (Styled Layer Descriptor) styles, and create and manage GeoServer workspaces with ease. The plugin also enables users to preview layers and styles before deployment, supports batch uploading of multiple layers at once, and works seamlessly with PostGIS, Shapefile, GeoPackage, and GeoTIFF formats.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://gis.com.my/training/q2g/]]></homepage>
        <file_name>geoserverconnector.0.9.4.zip</file_name>
        <icon>/media/packages/2026/icon_OrINkIC.png</icon>
        <author_name><![CDATA[GIS Innovation Sdn. Bhd.]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geoserverconnector/version/0.9.4/download/</download_url>
        <uploaded_by><![CDATA[gisinnovationmy]]></uploaded_by>
        <create_date>2025-12-19T09:11:19.342791+00:00</create_date>
        <update_date>2026-03-12T04:57:54.989431+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gisinnovationmy/Q2G-QGIStoGeoServerConnector/issues]]></tracker>
        <repository><![CDATA[https://github.com/gisinnovationmy/Q2G-QGIStoGeoServerConnector]]></repository>
        <tags><![CDATA[python,shapefile,project,postgis,style,openstreetmap,osm,layers,sld,connector,geoserver,format,data,qgis,batch,geopackage,geotiff,workspace]]></tags>
        <downloads>439</downloads>
        <average_vote>4.999375078115236</average_vote>
        <rating_votes>8</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Offsetor" version="0.2" plugin_id="4493">
        <description><![CDATA[Calculates points from the offset positions off a base line]]></description>
        <about><![CDATA[Calculating a set of points defined by offsets from a baseline (given by its endpoints).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/avlunen/offsetor/]]></homepage>
        <file_name>offsetor.0.2.zip</file_name>
        <icon>/media/packages/2025/icon_8IEDlxK.png</icon>
        <author_name><![CDATA[Alexander von Lünen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/offsetor/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[avl1]]></uploaded_by>
        <create_date>2025-12-25T21:35:52.299731+00:00</create_date>
        <update_date>2025-12-25T21:35:54.336031+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/avlunen/offsetor/issues]]></tracker>
        <repository><![CDATA[https://github.com/avlunen/offsetor]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>111</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Trilatorator" version="0.1" plugin_id="4496">
        <description><![CDATA[Trilaterate a point from two known points and distances from them.]]></description>
        <about><![CDATA[Trilate a point C from its distances to known points A and B.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/avlunen/trilatorator/]]></homepage>
        <file_name>trilatorator.0.1.zip</file_name>
        <icon>/media/packages/2025/icon_NXvgQ0T.png</icon>
        <author_name><![CDATA[Alexander von Lünen]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/trilatorator/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[avl1]]></uploaded_by>
        <create_date>2025-12-26T15:25:28.458228+00:00</create_date>
        <update_date>2025-12-26T15:25:30.570011+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/avlunen/trilatorator/issues]]></tracker>
        <repository><![CDATA[https://github.com/avlunen/trilatorator]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>105</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Break Point Index" version="0.1" plugin_id="4514">
        <description><![CDATA[The Break Point Index (BPI) tool is designed for landscape ecological analysis of patch shape and boundary configuration. It processes polygonal landscape patches by evaluating vertex angles along patch boundaries within user-defined angular thresholds, identifying breakpoints that reflect directional changes and geometric irregularities of landscape elements. The tool generates point features representing boundary complexity and computes polygon-level BPI values together with density metrics normalized by perimeter and area. Options to include or exclude inner rings (holes) and to customize angular thresholds allow flexible assessment of landscape pattern, configuration, and shape complexity.This tool may be used freely for research and educational purposes. If used in scientific publications, please cite: Csikós, N., Gudmann, A., Szabó, S. et al. The BreakPointIndex: a new angle-based landscape metric for quantifying patch shape and boundary complexity. Landsc Ecol (2026). https://doi.org/10.1007/s10980-026-02347-6]]></description>
        <about><![CDATA[Plugin for calculating Break Point Index landscape metric.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.4.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/gudmandras/Break-Point-Index/wiki]]></homepage>
        <file_name>break_pointer.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[gudmandras]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/break_pointer/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[gudmandras]]></uploaded_by>
        <create_date>2025-12-31T00:25:50.608318+00:00</create_date>
        <update_date>2025-12-31T00:25:52.916674+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/gudmandras/Break-Point-Index/issues]]></tracker>
        <repository><![CDATA[https://github.com/gudmandras/Break-Point-Index]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>372</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Visor de escenas Sentinel-2 y Landsat - SERNANP" version="0.1.1" plugin_id="4521">
        <description><![CDATA[English description: This plugin allows users to search, preview, and load Sentinel-2 and Landsat (5, 7, 8, and 9) satellite scenes directly into QGIS, with basic spectral visualizations and index generation. Spanish description: Este complemento permite buscar, previsualizar y cargar escenas satelitales Sentinel-2 y Landsat (5, 7, 8 y 9) directamente en QGIS, facilitando su análisis mediante visualizaciones espectrales e índices.]]></description>
        <about><![CDATA[Complemento desarrollado para apoyar el análisis y monitoreo ambiental mediante imágenes satelitales ópticas en QGIS, orientado a flujos de trabajo de conservación, gestión territorial y monitoreo de coberturas dentro de Áreas Naturales Protegidas del SERNANP.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://www.gob.pe/sernanp]]></homepage>
        <file_name>scene_browser.0.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_FxWTLOW.png</icon>
        <author_name><![CDATA[Joel Valdivia Favian]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/scene_browser/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[jvaldivia]]></uploaded_by>
        <create_date>2026-01-03T14:39:21.708620+00:00</create_date>
        <update_date>2026-01-07T16:41:56.891472+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jvaldivia24/qgis-visor-escenas-sentinel-landsat/issues]]></tracker>
        <repository><![CDATA[https://github.com/jvaldivia24/qgis-visor-escenas-sentinel-landsat]]></repository>
        <tags><![CDATA[raster,landsat,remote sensing,nbr,ndvi,sentinel-2,satellite imagery,environmental monitoring]]></tags>
        <downloads>649</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="OSM AI Agent" version="0.1.0" plugin_id="4526">
        <description><![CDATA[AI-powered OpenStreetMap data fetcher using AI chat]]></description>
        <about><![CDATA[OSM AI Agent is a QGIS plugin that allows users to fetch OpenStreetMap data using AI chat. Simply describe what you want to find (e.g., &quot;Get all convenience stores in NewYork&quot;), and the plugin will use AI (OpenAI API) to generate an Overpass query, fetch the data, and add it as a layer to your QGIS project.

* Current version is needed Open AI API key. You have to obtain it by your self.

Readme is here: https://github.com/ShogoHirasawa/OSM-AI]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ShogoHirasawa/OSM-AI]]></homepage>
        <file_name>osm_ai.0.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_5kPeMqx.png</icon>
        <author_name><![CDATA[Shogo Hirasawa]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/osm_ai/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[shogohiraawa]]></uploaded_by>
        <create_date>2026-01-05T08:04:05.209571+00:00</create_date>
        <update_date>2026-01-05T08:04:09.066234+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ShogoHirasawa/OSM-AI/issues]]></tracker>
        <repository><![CDATA[https://github.com/ShogoHirasawa/OSM-AI]]></repository>
        <tags><![CDATA[openstreetmap,osm,overpass,ai,llm,natural language,AI]]></tags>
        <downloads>419</downloads>
        <average_vote>2.7493126718320418</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="pygeoapi configurator" version="0.22" plugin_id="4529">
        <description><![CDATA[Read and write a pygeoapi configuration]]></description>
        <about><![CDATA[This plugin lets you read and write a pygeoapi configuration file that you can later upload to a server. You can also pull and push a configuration directly from an (unprotected) server.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://byteroad.github.io/pygeoapi_config_website/]]></homepage>
        <file_name>pygeoapi_config.0.22.zip</file_name>
        <icon>/media/packages/2026/icon_pjnjusS.png</icon>
        <author_name><![CDATA[ByteRoad]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pygeoapi_config/version/0.22/download/</download_url>
        <uploaded_by><![CDATA[doublebyte]]></uploaded_by>
        <create_date>2026-01-05T13:19:26.636730+00:00</create_date>
        <update_date>2026-04-16T13:16:50.419682+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/byteroad/pygeoapi_config/issues]]></tracker>
        <repository><![CDATA[https://github.com/byteroad/pygeoapi_config/]]></repository>
        <tags><![CDATA[pygeoapi]]></tags>
        <downloads>189</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="UrbanSpatialPatternAnalysis" version="0.2" plugin_id="4600">
        <description><![CDATA[UrbanSpatialPatternAnalysis]]></description>
        <about><![CDATA[Provide a brief description of the plugin and its purpose.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Ricky-HU96/urbanspatialpatternanalysis]]></homepage>
        <file_name>urbanspatialpatternanalysis.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_TYWPFu3.png</icon>
        <author_name><![CDATA[Ricky HU]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/urbanspatialpatternanalysis/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[rickyh]]></uploaded_by>
        <create_date>2026-01-18T20:00:42.670223+00:00</create_date>
        <update_date>2026-01-23T22:38:03.042038+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Ricky-HU96/urbanspatialpatternanalysis/issues]]></tracker>
        <repository><![CDATA[https://github.com/Ricky-HU96/urbanspatialpatternanalysis]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>159</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="FlipFlop" version="0.3.0" plugin_id="4602">
        <description><![CDATA[Plugin that allows you to show/hide a defined set of layers using a keyboard shortcut.]]></description>
        <about><![CDATA[Plugin that allows you to show/hide a defined set of layers using a keyboard shortcut.]]></about>
        <trusted>True</trusted>
        <qgis_minimum_version>3.32.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://oslandia.gitlab.io/qgis/flipflop]]></homepage>
        <file_name>flipflop.0.3.0.zip</file_name>
        <icon>/media/packages/2026/default_icon_Xcq4ikt.png</icon>
        <author_name><![CDATA[Florent FOUGERES (Oslandia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/flipflop/version/0.3.0/download/</download_url>
        <uploaded_by><![CDATA[oslandia]]></uploaded_by>
        <create_date>2026-01-19T10:35:40.509686+00:00</create_date>
        <update_date>2026-01-19T10:35:42.344393+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/Oslandia/qgis/flipflop/-/issues]]></tracker>
        <repository><![CDATA[https://gitlab.com/Oslandia/qgis/flipflop]]></repository>
        <tags><![CDATA[vector,raster,layer,display,image,envi,flip-flop]]></tags>
        <downloads>139</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Post GIS Schema Importer" version="0.1" plugin_id="4661">
        <description><![CDATA[Imports all Tables; Relations from a PG-DB]]></description>
        <about><![CDATA[Plugin that imports all Tables/Relations from a Postgres/PostGIS Schema.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/threalslimtobeeee/qgis_pg_schema_importer]]></homepage>
        <file_name>qgis_pg_schema_importer.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_JFwNs39.png</icon>
        <author_name><![CDATA[Tobias Heini]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_pg_schema_importer/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[heitob903]]></uploaded_by>
        <create_date>2026-01-28T14:18:54.294370+00:00</create_date>
        <update_date>2026-01-28T14:18:56.084530+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/threalslimtobeeee/qgis_pg_schema_importer]]></tracker>
        <repository><![CDATA[https://github.com/threalslimtobeeee/qgis_pg_schema_importer]]></repository>
        <tags><![CDATA[postgis,database]]></tags>
        <downloads>77</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Post-GIS Schema Importer" version="0.2" plugin_id="4664">
        <description><![CDATA[Imports all Tables; Relations from a PG-DB]]></description>
        <about><![CDATA[Plugin that imports all Tables/Relations from a Postgres/PostGIS Schema.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/threalslimtobeeee/qgis_pg_schema_importer]]></homepage>
        <file_name>pg_schema_importer.0.2.zip</file_name>
        <icon>/media/packages/2026/icon_QR6rljA.png</icon>
        <author_name><![CDATA[Tobias Heini]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pg_schema_importer/version/0.2/download/</download_url>
        <uploaded_by><![CDATA[heitob903]]></uploaded_by>
        <create_date>2026-01-29T08:04:18.399446+00:00</create_date>
        <update_date>2026-01-29T08:04:20.167068+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/threalslimtobeeee/qgis_pg_schema_importer]]></tracker>
        <repository><![CDATA[https://github.com/threalslimtobeeee/qgis_pg_schema_importer]]></repository>
        <tags><![CDATA[postgis,database]]></tags>
        <downloads>123</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArchaeoTrace" version="0.1.4" plugin_id="4694">
        <description><![CDATA[AI-assisted contour digitizing for historical maps. Features smart path tracing, edge snapping, and multiple AI engine options.]]></description>
        <about><![CDATA[AI Vectorizer helps archaeologists digitize contour lines from scanned historical maps.

Features:
- Smart Trace: Click two points to get AI-suggested path along contour lines
- Edge Snap: Mouse automatically snaps to detected contour edges
- Multiple AI Modes: Lite (OpenCV), Standard (MobileSAM), Pro (Full SAM)

Designed for Japanese colonial-era topographic maps and similar historical documents.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lzpxilfe/AI-Vectorizer-for-Archaeology]]></homepage>
        <file_name>ai_vectorizer.0.1.4.zip</file_name>
        <icon>/media/packages/2026/icon_rAq9JCv.png</icon>
        <author_name><![CDATA[lzpxilfe(balguljang2)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ai_vectorizer/version/0.1.4/download/</download_url>
        <uploaded_by><![CDATA[lzpxilfe]]></uploaded_by>
        <create_date>2026-02-06T08:22:13.710923+00:00</create_date>
        <update_date>2026-03-20T11:26:23.794994+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lzpxilfe/AI-Vectorizer-for-Archaeology/issues]]></tracker>
        <repository><![CDATA[https://github.com/lzpxilfe/AI-Vectorizer-for-Archaeology]]></repository>
        <tags><![CDATA[digitizing,archaeology,contour,vectorization,ai,historical maps]]></tags>
        <downloads>338</downloads>
        <average_vote>4.599080183963207</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SITG" version="1.0.0-beta3" plugin_id="4695">
        <description><![CDATA[Plugin facilitant l&#x27;utilisation des services du Système d&#x27;Informations du Territoire du Canton de Genève (SITG) dans QGIS.]]></description>
        <about><![CDATA[This plugin preconfigures QGIS with various resources of the Système d&#x27;Information du Territoire à Genève (SITG): background maps, raster and vector geoservices, with or without e-demarches account. It is highly recommended to all users of the SITG (both for those working inside the administration and the general public).

---

Ce plugin permet de préconfigurer QGIS avec les resources du Système d&#x27;Information du Territoire à Genève (SITG): fonds de plan, geoservices rasters et vectoriels, avec ou sans authentification e-demarches. Son installation est recommandée aux utilisateurs réguliers du SITG dans QGIS, tant en interne de l&#x27;administration qu&#x27;en externe.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/republique-et-canton-de-geneve/sitg-qgis-plugin]]></homepage>
        <file_name>qsitg.1.0.0-beta3.zip</file_name>
        <icon>/media/packages/2026/icon_8M81IbM.png</icon>
        <author_name><![CDATA[République et canton de Genève]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qsitg/version/1.0.0-beta3/download/</download_url>
        <uploaded_by><![CDATA[cantongeneve]]></uploaded_by>
        <create_date>2026-02-06T09:11:20.622935+00:00</create_date>
        <update_date>2026-03-05T12:33:25.907793+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/republique-et-canton-de-geneve/sitg-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/republique-et-canton-de-geneve/sitg-qgis-plugin]]></repository>
        <tags><![CDATA[suisse,switzerland,geneve,sitg,genève]]></tags>
        <downloads>289</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="MCD_Visualizer" version="0.1" plugin_id="4700">
        <description><![CDATA[Mars Climate Database (MCD) visualizer in QGIS]]></description>
        <about><![CDATA[about=MCD VISUALIZER FOR QGIS
    
    This plugin provides a professional interface to explore and analyze atmospheric data from the LMD Mars Climate Database (MCD). It automates the complex process of reading NetCDF files, allowing researchers to transform raw scientific data into georeferenced raster layers and high-quality plots effortlessly.
    
    KEY FEATURES:
    - Map Tool: Generate georeferenced maps with real-time spatial interpolation for variables like temperature, pressure, and wind.
    - Profile Tool: Create vertical atmospheric cross-sections, temporal evolution charts, and 2D scientific graphs.
    - Integrated Topography: Automatic overlay of MOLA topography isolines for better geographical context.
    
    IMPORTANT REQUIREMENTS (PLEASE READ):
    
    1. EXTERNAL DATA: 
    This plugin DOES NOT include MCD data due to license and size. You must have a local installation of the Mars Climate Database (v5 or v6). 
    On the first run, you will be asked to select your local &#x27;data&#x27; folder.
    
    The folder MUST contain these subfolders:
    - Scenarios: clim_aveEUV, cold, warm, strm
    - Historic data: MY24, MY25, MY26, MY27, MY28, MY29, MY30, MY31, MY32, MY33, MY34, MY35
    
    2. PYTHON LIBRARIES: 
    Requires &#x27;xarray&#x27; and &#x27;netCDF4&#x27;. 
    Install them via OSGeo4W Shell (Windows) or Terminal:
    pip install xarray netCDF4
    
    For a detailed installation guide on Windows, visit: 
    https://landscapearchaeology.org/2018/installing-python-packages-in-qgis-3-for-windows/]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.10.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/davidsr21/mcd_visualizer]]></homepage>
        <file_name>MCD_Visualizer.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_V9yVA1O.png</icon>
        <author_name><![CDATA[David Sánchez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/MCD_Visualizer/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[dudalons99]]></uploaded_by>
        <create_date>2026-02-08T18:12:59.368843+00:00</create_date>
        <update_date>2026-02-08T18:13:01.445731+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/davidsr21/mcd_visualizer/issues]]></tracker>
        <repository><![CDATA[https://github.com/davidsr21/mcd_visualizer]]></repository>
        <tags><![CDATA[python,netcdf,planetary,mars,climate,meteorology,atmosphere,mcd]]></tags>
        <downloads>138</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="KIGAM for Archaeology" version="0.1.0" plugin_id="4701">
        <description><![CDATA[Load KIGAM 1:50,000 ZIP maps, apply symbols/labels, and export analysis rasters with configurable behavior.]]></description>
        <about><![CDATA[This plugin loads KIGAM geological-map ZIP packages, applies sym/QML styles with CP949-safe matching, and supports GeoChem raster conversion/export workflows.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lzpxilfe/KIGAM-for-Archaeology]]></homepage>
        <file_name>KigamGeoDownloader.0.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_es4FGTg.png</icon>
        <author_name><![CDATA[lzpxilfe(balguljang2)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/KigamGeoDownloader/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[lzpxilfe]]></uploaded_by>
        <create_date>2026-02-09T08:55:33.339994+00:00</create_date>
        <update_date>2026-02-09T08:55:35.338721+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lzpxilfe/KIGAM-for-Archaeology/issues]]></tracker>
        <repository><![CDATA[https://github.com/lzpxilfe/KIGAM-for-Archaeology]]></repository>
        <tags><![CDATA[raster,geology,archaeology,qgis,kigam,geochem]]></tags>
        <downloads>310</downloads>
        <average_vote>4.998333888703765</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Marche à l&#x27;ombre" version="0.12" plugin_id="4702">
        <description><![CDATA[This plugin calculates for a given hike the shady and sunny parts in France]]></description>
        <about><![CDATA[This plugin calculates the shady and sunny portions of a given hiking trail (GPX file) based on sun position and terrain. It uses IGN&#x27;s LiDAR HD elevation data (MNS/MNT) to compute shadows along the route at specific times. Works for trails in France Métropole and DOM-TOM if IGN data is available (e.g. La Réunion and Guadeloupe)]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/yolanda225/qgis-marche-a-lombre]]></homepage>
        <file_name>marche_a_lombre.0.12.zip</file_name>
        <icon>/media/packages/2026/logo_vAn86A3.png</icon>
        <author_name><![CDATA[Yolanda Seifert]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/marche_a_lombre/version/0.12/download/</download_url>
        <uploaded_by><![CDATA[yolanda]]></uploaded_by>
        <create_date>2026-02-09T11:40:07.758005+00:00</create_date>
        <update_date>2026-02-16T22:37:29.975474+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/yolanda225/qgis-marche-a-lombre/issues]]></tracker>
        <repository><![CDATA[https://github.com/yolanda225/qgis-marche-a-lombre]]></repository>
        <tags><![CDATA[python,lidar,shadow,france,hiking,sun,trail]]></tags>
        <downloads>210</downloads>
        <average_vote>4.998750312421894</average_vote>
        <rating_votes>4</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Layer Order Plus" version="1.0.0" plugin_id="4709">
        <description><![CDATA[Kinda like Layer Order panel, but with grouping.]]></description>
        <about><![CDATA[You can create groups of layers and delete them. Layer order in this panel will be the same at the Layer Order panel.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/samkultz/layer_order_plus_plugin]]></homepage>
        <file_name>layer_order_plus.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_fHXd4Zq.png</icon>
        <author_name><![CDATA[Samuel Kultz (Kultz Engenharia)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/layer_order_plus/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[samkultz]]></uploaded_by>
        <create_date>2026-02-09T19:45:54.129523+00:00</create_date>
        <update_date>2026-02-09T19:45:55.975529+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/samkultz/layer_order_plus_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/samkultz/layer_order_plus_plugin]]></repository>
        <tags><![CDATA[productivity,order,layers,workflow,layer tree,groups]]></tags>
        <downloads>94</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Demand Allocator" version="1.0.0" plugin_id="4714">
        <description><![CDATA[Allocates demand points from house polygons to the nearest pipe network lines, generating house load points and reference connection lines for water/sewer utility planning.]]></description>
        <about><![CDATA[This plugin snaps house polygon centroids to pipe lines, clusters nearby points, creates aggregated demand/load points, and draws reference lines from each house to its assigned demand point. Ideal for urban water supply, sewer design, and infrastructure analysis.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.18.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/HaqqanUddin/demand_allocator]]></homepage>
        <file_name>demand_allocator.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_pMf8z3G.png</icon>
        <author_name><![CDATA[Haqqan Uddin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/demand_allocator/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[haqqanuddin]]></uploaded_by>
        <create_date>2026-02-11T06:33:13.908721+00:00</create_date>
        <update_date>2026-02-11T06:33:15.735721+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/HaqqanUddin/demand_allocator/issues]]></tracker>
        <repository><![CDATA[https://github.com/HaqqanUddin/demand_allocator]]></repository>
        <tags><![CDATA[snapping,clustering,infrastructure,sewer,urban planning,pipe network,demand allocation,house load,water utilities]]></tags>
        <downloads>119</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tessera" version="0.5.9" plugin_id="4720">
        <description><![CDATA[Stable version for public release]]></description>
        <about><![CDATA[Tessera provides 9 cartographic algorithms for QGIS: Tile Fill (5 tile shapes: square, hexagon, circle, triangle, diamond), Percentage Split, Stripe Hatching, Snap to Grid, Sketchy Borders, Scale by Value, Replace with Shape, Arrange Features (with quality presets), and Grid Arrangement. Create thematic maps where geographic shapes communicate data through tile grids, proportional fills, cartogram transforms, hand-drawn styling, force-directed layouts, and grid arrangements. No external dependencies.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rafdouglas/tessera]]></homepage>
        <file_name>tessera.0.5.9.zip</file_name>
        <icon>/media/packages/2026/icon_C90rWY1.png</icon>
        <author_name><![CDATA[RafDouglas C. Tommasi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tessera/version/0.5.9/download/</download_url>
        <uploaded_by><![CDATA[rafdouglas]]></uploaded_by>
        <create_date>2026-02-12T22:38:59.936495+00:00</create_date>
        <update_date>2026-04-10T22:42:08.518043+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rafdouglas/tessera/issues]]></tracker>
        <repository><![CDATA[https://github.com/rafdouglas/tessera]]></repository>
        <tags><![CDATA[cartography,cartogram,thematic,tile-fill,waffle,tessellate,ideogram,hatching,dorling]]></tags>
        <downloads>294</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Stripe Hatching" version="0.5.7" plugin_id="4721">
        <description><![CDATA[Stable version for public release]]></description>
        <about><![CDATA[Fill each polygon with parallel rectangular stripes at configurable angle and spacing. Topology-aware for seamless multi-polygon fills.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rafdouglas/tessera]]></homepage>
        <file_name>stripe_hatching.0.5.7.zip</file_name>
        <icon>/media/packages/2026/icon_8YGyixz.png</icon>
        <author_name><![CDATA[RafDouglas C. Tommasi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/stripe_hatching/version/0.5.7/download/</download_url>
        <uploaded_by><![CDATA[rafdouglas]]></uploaded_by>
        <create_date>2026-02-12T22:39:16.020080+00:00</create_date>
        <update_date>2026-04-10T22:42:27.606557+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rafdouglas/tessera/issues]]></tracker>
        <repository><![CDATA[https://github.com/rafdouglas/tessera]]></repository>
        <tags><![CDATA[cartography,ideogram,hatching,stripe]]></tags>
        <downloads>189</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Percentage Split" version="0.5.7" plugin_id="4722">
        <description><![CDATA[Stable version for public release]]></description>
        <about><![CDATA[Split each polygon into two sub-polygons whose area ratio corresponds to a numeric attribute value. Supports horizontal, vertical, diagonal, and radial orientations.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/rafdouglas/tessera]]></homepage>
        <file_name>percentage_split.0.5.7.zip</file_name>
        <icon>/media/packages/2026/icon_su3gH7T.png</icon>
        <author_name><![CDATA[RafDouglas C. Tommasi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/percentage_split/version/0.5.7/download/</download_url>
        <uploaded_by><![CDATA[rafdouglas]]></uploaded_by>
        <create_date>2026-02-12T22:40:20.066649+00:00</create_date>
        <update_date>2026-04-10T22:42:40.709165+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rafdouglas/tessera/issues]]></tracker>
        <repository><![CDATA[https://github.com/rafdouglas/tessera]]></repository>
        <tags><![CDATA[split,cartography,ideogram,percentage]]></tags>
        <downloads>243</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QFAT01 Flow Estimator" version="0.4.15" plugin_id="4724">
        <description><![CDATA[Open-channel flow and WSL estimator from DEM cross-sections using Manning&#x27;s equation.]]></description>
        <about><![CDATA[QFAT01 Flow Estimator is a QGIS plugin for quick open-channel checks. It samples a cross-section (XS) profile from a DEM along a user-drawn line, plots chainage vs elevation, and uses Manning&#x27;s equation to estimate discharge Q (m3/s) or water surface level (WSL), reporting wetted area (A), wetted perimeter (P), hydraulic radius (R), velocity and freeboard. Optional exclusion zones by chainage let you ignore parts of the profile in both calculations and plotting.

This tool is part of QFAT (QGIS Flood Analysis Toolkit) - a set of focused QGIS utilities designed to support flood modelling workflows (e.g., TUFLOW, HEC-RAS), hydraulic QA, and rapid engineering checks.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/FGE-2025/QFAT01-Flow-Estimator]]></homepage>
        <file_name>QFAT01_FlowEstimator.0.4.15.zip</file_name>
        <icon>/media/packages/2026/icon_oc8zCum.png</icon>
        <author_name><![CDATA[FG]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QFAT01_FlowEstimator/version/0.4.15/download/</download_url>
        <uploaded_by><![CDATA[fge2025]]></uploaded_by>
        <create_date>2026-02-13T05:08:08.505771+00:00</create_date>
        <update_date>2026-02-13T05:08:10.708440+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/FGE-2025/QFAT01-Flow-Estimator/issues]]></tracker>
        <repository><![CDATA[https://github.com/FGE-2025/QFAT01-Flow-Estimator]]></repository>
        <tags><![CDATA[profile,flow,hydraulic,flood,manning,cross section,discharge,hydraulic radius,wetted area,wetted perimeter,wsl,qfat,freeboard,water surface level,open channel,xs,normal depth]]></tags>
        <downloads>162</downloads>
        <average_vote>3.665444851716095</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QClassiPy" version="0.3.4" plugin_id="4726">
        <description><![CDATA[Custom QGIS plugin for manually drawing raster categorical masks.]]></description>
        <about><![CDATA[A QGIS plugin that allows the manual, interactive drawing and editing of classification maps.
The user can interactively change the pixel values of a classification raster using intuitive tools:
- Selection: draw a selection shape over the chosen pixels using the QGIS built-in Select Feature tools to change their value.
- Brush and Erase: change pixel values by dragging your mouse over them.
- Polygons: convert regions of uniform classification into polygons, modify their borders with QGIS built-in tools and see the changes reflected on the raster.
It is furthermore possible to split large rasters into tiles to edit separately.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/michelelissoni/QClassiPy]]></homepage>
        <file_name>QClassiPy.0.3.4.zip</file_name>
        <icon>/media/packages/2026/qcl_icon_aKxhqhi.svg</icon>
        <author_name><![CDATA[Michele Lissoni]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/QClassiPy/version/0.3.4/download/</download_url>
        <uploaded_by><![CDATA[michelelissoni]]></uploaded_by>
        <create_date>2026-02-13T11:14:24.857994+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/michelelissoni/QClassiPy/issues]]></tracker>
        <repository><![CDATA[http://github.com/michelelissoni/QClassiPy]]></repository>
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        <server>False</server>
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        <description><![CDATA[Cross-references cadastral XML (Kozu) with forest planning maps for on-site boundary survey support.]]></description>
        <about><![CDATA[A QGIS plugin that cross-references Japanese Legal Affairs Bureau cadastral map XML (Kozu) with forest planning maps and parcel information, applies minor positional adjustments, and provides support for survey investigations. It does not perform automatic boundary determination; it is intended for area determination for on-site boundary verification. / 公図XML整合ツール — 法務局地図XML（公図）を森林計画図の地番情報と照合し、位置の微調整を行い照合する調査のサポートを提供します。境界の自動確定は行わず、現地立会いのための区域確定を目的とします。 / Support: https://paypal.me/rawslnc]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/raw-slnc/kozu_xml_integrator]]></homepage>
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        <icon>/media/packages/2026/icon_6p987KU.png</icon>
        <author_name><![CDATA[Hideharu Masai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/kozu_xml_integrator/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[rawslnc]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/raw-slnc/kozu_xml_integrator/issues]]></tracker>
        <repository><![CDATA[https://github.com/raw-slnc/kozu_xml_integrator]]></repository>
        <tags><![CDATA[vector,cadastral,boundary,xml,forest,japan,moj,kozu,land registry]]></tags>
        <downloads>544</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SatIrriga QGIS" version="2.0.0" plugin_id="4731">
        <description><![CDATA[QGIS client for the SatIrriga platform (ANA/INPE). Browse, download, edit, and submit satellite-based irrigation maps.]]></description>
        <about><![CDATA[SatIrriga QGIS is the official desktop client for the SatIrriga platform, a satellite-based irrigation monitoring system developed jointly by ANA (Brazil&#x27;s National Water and Sanitation Agency) and INPE (Brazil&#x27;s National Institute for Space Research). The plugin enables a complete field-validation workflow without leaving the QGIS environment: authenticate securely via Single Sign-On (OIDC/PKCE through Keycloak); browse the zonal catalog and download geospatial results as editable GeoPackage files via FlatGeobuf; refine geometries using the full suite of QGIS sketching and editing tools; and submit revisions back to the Feature Server with asynchronous processing and conflict resolution. Designed for analysts and technicians who review remote-sensing-derived irrigation maps, the plugin streamlines the review-and-correction cycle that is central to the SatIrriga quality-assurance process.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/agriculturaana/satirriga-qgis]]></homepage>
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        <icon>/media/packages/2026/icon_UZTkdzh.png</icon>
        <author_name><![CDATA[Tharles de Sousa Andrade | ANA | INPE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/satirriga_qgis/version/2.0.0/download/</download_url>
        <uploaded_by><![CDATA[tharlestsa]]></uploaded_by>
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        <repository><![CDATA[https://github.com/agriculturaana/satirriga-qgis]]></repository>
        <tags><![CDATA[python,remote-sensing,mapping,geopackage,irrigation]]></tags>
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        <server>False</server>
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        <about><![CDATA[Enhance raw SAR imagery with one click. Features include customizable Logarithmic Transformation (dB) and Histogram Stretching based on Standard Deviation to remove speckle noise and outliers.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2026/icon_BJWluxE.png</icon>
        <author_name><![CDATA[Mohamad El Moussawi]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/sarviewplugin/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[lesawe]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/le-sawe/SARView/issues]]></tracker>
        <repository><![CDATA[https://github.com/le-sawe/SARView]]></repository>
        <tags><![CDATA[raster,remote sensing,sar,sentinel-1,visualization,radar,enhancement]]></tags>
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        <server>False</server>
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        <description><![CDATA[LOC QGIS plugin for automated generation, synchronisation, and management of infrastructure labels.]]></description>
        <about><![CDATA[Authenticate to LOC, select a Location, and automatically generate infrastructure labels directly from your QGIS designs — eliminating manual label creation. The plugin enables bidirectional data flow between QGIS and LOC. Pull high-accuracy field data captured by engineers using mobile devices or GNSS receivers to update asset positions in your GIS project. Push bulk attribute updates (such as cable lengths or metadata) from QGIS back into LOC to keep your digital records aligned with real-world installations. Designed to significantly accelerate labelling workflows while improving spatial accuracy and data consistency across design and field operations.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2026/loc_logo_d9WKGE8.png</icon>
        <author_name><![CDATA[Brandon Kellett, KelTech IoE]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/label_on_a_cable/version/0.4.0/download/</download_url>
        <uploaded_by><![CDATA[brandonk393]]></uploaded_by>
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        <deprecated>False</deprecated>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ReNCAT Preprocessor" version="0.1" plugin_id="4740">
        <description><![CDATA[Determine plausible locations for a specific type of facility based on user-selected layers.]]></description>
        <about><![CDATA[ReNCAT is a Sandia Laboratories-developed tool for quantitatively evaluating communities&#x27; difficulty accessing resources and assisting in developing microgrids to serve those resource needs. In cases where facilities may not exist but which may be incorporated into planning, such as for electric vehicle charging, this pre-processor provides a set of candidate locations based on user-selected layers. This pre-processor is similar to Argonne Lab&#x27;s GEM but allows for arbitrary user-uploaded layer data.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2026/icon_Lja0j6s.png</icon>
        <author_name><![CDATA[E Moog]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/rencat_preprocessor/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[ermoog]]></uploaded_by>
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        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/sandialabs/QGIS-ReNCAT-preprocessor/issues]]></tracker>
        <repository><![CDATA[https://github.com/sandialabs/QGIS-ReNCAT-preprocessor]]></repository>
        <tags><![CDATA[python]]></tags>
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        <server>False</server>
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        <description><![CDATA[Download data from RAÄs Öppna data-portal]]></description>
        <about><![CDATA[Download geopackage files from https://www.raa.se/hitta-information/oppna-data/oppna-data-portal/ (not INSPIRE packages) and load them into current project with RAÄ symbology applied]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://mercerraa.github.io/]]></homepage>
        <file_name>raa_loader.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_N4lrKUv.png</icon>
        <author_name><![CDATA[Andrew Mercer]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/raa_loader/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[mercerraa]]></uploaded_by>
        <create_date>2026-02-20T16:01:28.224545+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mercerraa/RAALoader/issues]]></tracker>
        <repository><![CDATA[https://github.com/mercerraa/RAALoader]]></repository>
        <tags><![CDATA[web,import,layers]]></tags>
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        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geopacker" version="1.1.0" plugin_id="4763">
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        <about><![CDATA[A tool to package layers for sharing by eliminating broken paths.]]></about>
        <trusted>False</trusted>
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        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <icon>/media/packages/2026/icon_9BfiFA9.png</icon>
        <author_name><![CDATA[Frederick Cuario]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geopacker/version/1.1.0/download/</download_url>
        <uploaded_by><![CDATA[rrcuario]]></uploaded_by>
        <create_date>2026-02-21T08:09:01.512061+00:00</create_date>
        <update_date>2026-02-23T01:20:19.522926+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/rick2x/geopacker/issues]]></tracker>
        <repository><![CDATA[https://github.com/rick2x/geopacker]]></repository>
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        <server>False</server>
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        <about><![CDATA[This plugin reads Netcad .dns transformation files and applies coordinate
transformation to selected vector layers.

SUPPORTED METHODS:
- Helmert (4 parameters): Isotropic scale + rotation + translation.
Most common method. Minimum 2 control points required.
- Affine (6 parameters): Different scale in E/N direction + shear.
More flexible. Minimum 3 control points required.
- TIN (Delaunay Triangulation): Local transformation per triangle.
Residual = 0 at all control points (exact pass-through).
Best accuracy for large areas. Minimum 3 control points required.

SUPPORTED DNS FILE TYPES:
- Point-Based ($AMAT + $NOK): Parameters computed from control points via LSQ.
- Matrix-Based ($AMAT only): Parameters read directly from $AMAT matrix.

QUALITY CONTROL:
- Data Snooping (Baarda Test): Iteratively detects suspicious control points.
- Normalized residuals (w-values) vs critical value comparison.
- Error ellipses: sigma_E, sigma_N, sigma_P, semi-major/minor axes.
- Residual vector and error ellipse layers can be added to the map.

MULTI-LAYER SUPPORT:
- Multiple layers can be selected (Ctrl/Shift) and transformed in one step.
- Option to transform in-place or create new layers with custom suffix.

REPORTING:
- HTML report: Opens in browser with full CSS styling.
- PDF report: Generated via QGIS WebEngine.

Compatible with QGIS 3.16+ and QGIS 4.x (Qt5/Qt6).
scipy package required for TIN method.]]></about>
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        <homepage><![CDATA[https://github.com/alieryigit/netcad-dns-d-n-m]]></homepage>
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        <icon>/media/packages/2026/icon_0fsHmUT.png</icon>
        <author_name><![CDATA[DNS Transform Contributors]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/netcad_dns_transform/version/2.0.1/download/</download_url>
        <uploaded_by><![CDATA[alieryigit980]]></uploaded_by>
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        <server>False</server>
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        <about><![CDATA[This plugin helps you to define layouts.]]></about>
        <trusted>False</trusted>
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        <icon>/media/packages/2026/icon_folios_wizard_k72LYRa.png</icon>
        <author_name><![CDATA[Jean-Marie Arsac (Azimut)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/folios_wizard/version/0.3.2-c/download/</download_url>
        <uploaded_by><![CDATA[jmarsac]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://gitlab.com/azimut-fr/qgis/folios_wizard/-/issues/]]></tracker>
        <repository><![CDATA[https://gitlab.com/azimut-fr/qgis/folios_wizard]]></repository>
        <tags><![CDATA[print,plot,layout,wizard,folio]]></tags>
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        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Contour Lines" version="1.0" plugin_id="4802">
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        <about><![CDATA[This plugin generates contour lines and hillshade overlays anywhere in the world using the Copernicus GLO-30 Digital Elevation Model (DEM), provided free of charge by the European Space Agency (ESA) via the Copernicus programme. No API key or account is required. DEM tiles are downloaded on demand from AWS Open Data (https://registry.opendata.aws/copernicus-dem/) and cached locally. Elevation data: Copernicus DEM © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved.]]></about>
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        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/DanielHSMartin/ContourLines]]></homepage>
        <file_name>ContourLines.1.0.zip</file_name>
        <icon>/media/packages/2026/logo_zXjeAe2.png</icon>
        <author_name><![CDATA[Daniel Hulshof Saint Martin]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ContourLines/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[danielhsm]]></uploaded_by>
        <create_date>2026-03-05T15:50:26.698301+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/DanielHSMartin/ContourLines/issues]]></tracker>
        <repository><![CDATA[https://github.com/DanielHSMartin/ContourLines]]></repository>
        <tags><![CDATA[vector,python,raster,dem,elevation,gdal,global,worldwide,contour,copernicus,contour lines,altimetry]]></tags>
        <downloads>3455</downloads>
        <average_vote>4.933168894370187</average_vote>
        <rating_votes>30</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
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        <about><![CDATA[Orthogonal Measure lets you place two reference points on the map canvas to define a local coordinate system. The first point becomes the origin, the second defines the positive Y-axis direction, and the X-axis is automatically set perpendicular (90° clockwise). You can then enter X and Y offsets in metres via the dialog, click &quot;Construct Point&quot;, and the plugin will place a marker at the computed position. All constructed points can be exported to a temporary memory layer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
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        <homepage><![CDATA[https://github.com/Darkonyks/ortogonal_measure]]></homepage>
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        <icon>/media/packages/2026/icon_8QXHcjU.png</icon>
        <author_name><![CDATA[Darko Nedic]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ortogonal_measure/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[dnedic]]></uploaded_by>
        <create_date>2026-03-06T08:19:05.179828+00:00</create_date>
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        <tracker><![CDATA[https://github.com/Darkonyks/ortogonal_measure/issues]]></tracker>
        <repository><![CDATA[https://github.com/Darkonyks/ortogonal_measure]]></repository>
        <tags><![CDATA[measure,coordinate system,sketching,orthogonal]]></tags>
        <downloads>67</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Tissot Processing Provider" version="0.2.0" plugin_id="4814">
        <description><![CDATA[Projection distortion analysis, cartographic linting, map quality scoring, spatial diffing, and autofix — powered by a Rust core.]]></description>
        <about><![CDATA[Tissot brings visual-first geospatial diagnostics into QGIS as a Processing provider. Analyze projection distortion with X-Ray heatmaps and Tissot ellipses, lint your data for cartographic and data quality issues, generate a 0–100 map quality score, visually diff two datasets, and auto-fix problems like suboptimal projections and topology gaps. All computation runs in a high-performance Rust core via the Tissot Python API. Requires the &#x27;tissot&#x27; package installed in the same Python environment used by QGIS.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/chrislyonsKY/tissot/tree/main/python/tissot/qgis_plugin]]></homepage>
        <file_name>tissot_processing_provider.0.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_Dv9qOKe.png</icon>
        <author_name><![CDATA[Tissot Contributors]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tissot_processing_provider/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[clyons]]></uploaded_by>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chrislyonsKY/tissot/issues]]></tracker>
        <repository><![CDATA[https://github.com/chrislyonsKY/tissot]]></repository>
        <tags><![CDATA[geospatial,processing,projection,quality,diagnostics]]></tags>
        <downloads>73</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Extent matcher" version="0.1" plugin_id="4824">
        <description><![CDATA[match raster&#x27;s extent to target raster]]></description>
        <about><![CDATA[it matches your raster&#x27;s extent, dimension, and CRS to target raster]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Radiant-Nova/extent_matcher]]></homepage>
        <file_name>extent_matcher.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_BmCpWLV.png</icon>
        <author_name><![CDATA[Roshin Syahdan]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/extent_matcher/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[novaturient]]></uploaded_by>
        <create_date>2026-03-09T16:08:13.571074+00:00</create_date>
        <update_date>2026-03-09T16:08:15.503618+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Radiant-Nova/extent_matcher/issues]]></tracker>
        <repository><![CDATA[https://github.com/Radiant-Nova/extent_matcher]]></repository>
        <tags><![CDATA[raster,dimension,crs,extent,match,resample,resolution,align]]></tags>
        <downloads>68</downloads>
        <average_vote>4.665111629456848</average_vote>
        <rating_votes>3</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="DoD Detection Tool" version="0.1" plugin_id="4827">
        <description><![CDATA[Terrain change detection tool using the Digital Terrain Model of Difference (DoD) method.]]></description>
        <about><![CDATA[Terrain change detection toolkit using DEM of Difference (DoD) analysis. Calculates elevation changes between DTM s, filters noise, extracts change polygons with volume estimates, and generates statistics. Optimized for Norwegian Kartverket DTM data.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.16.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/boundarieslab/DoDetector]]></homepage>
        <file_name>dod.0.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Laboratory for Urban Boundaries]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/dod/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[boundarieslab]]></uploaded_by>
        <create_date>2026-03-10T12:20:17.455991+00:00</create_date>
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        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/boundarieslab/DoDetector/issues]]></tracker>
        <repository><![CDATA[https://github.com/boundarieslab/DoDetector]]></repository>
        <tags><![CDATA[python,Analysis,DoD,DTM]]></tags>
        <downloads>55</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="json_ua" version="0.9.6" plugin_id="4829">
        <description><![CDATA[Process Ukrainian GeoJSON files]]></description>
        <about><![CDATA[A comprehensive tool for Ukrainian architects and builders.
Data attribution: normative styles based on open data created by https://juliesdata.com/members
---
Main features:
* Creation and processing of urban planning information exchange files.
* Generation of urban planning documentation.
---
Full documentation is available via the link to the main page.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.15</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://krechkivsky.github.io/json_ua_docs/]]></homepage>
        <file_name>json_ua.0.9.6.zip</file_name>
        <icon>/media/packages/2026/icon_sJ5lVf9.svg</icon>
        <author_name><![CDATA[krechkivsky.dev@gmail.com]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/json_ua/version/0.9.6/download/</download_url>
        <uploaded_by><![CDATA[krechkivsky]]></uploaded_by>
        <create_date>2026-03-10T17:26:28.104961+00:00</create_date>
        <update_date>2026-03-10T17:26:29.925227+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/krechkivsky/json_ua/issues]]></tracker>
        <repository><![CDATA[https://github.com/krechkivsky/json_ua]]></repository>
        <tags><![CDATA[geojson,json,urban planning,documentation,ukraine,file exchange]]></tags>
        <downloads>362</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="potreecraft" version="2.1.3" plugin_id="4836">
        <description><![CDATA[A potree scene constructor GUI]]></description>
        <about><![CDATA[PotreeCraft is a GUI wrapper for PotreeConverter, which allows the user to create Potree scenes enriched with vector data without having to know JavaScript, as all information on the vector layers that you wish to add will be imported from the current open QGIS project. PotreeConverter 2.1.1 is a requirement for it to work. For more info on how to use the plugin visit github.com/ThomasFarmer/PotreeCraft]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>2.99.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/ThomasFarmer/PotreeCraft]]></homepage>
        <file_name>potreecraft.2.1.3.zip</file_name>
        <icon>/media/packages/2026/pc_icon_24_lcpX2eB.png</icon>
        <author_name><![CDATA[Béres Tamás]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/potreecraft/version/2.1.3/download/</download_url>
        <uploaded_by><![CDATA[thomasfarmer]]></uploaded_by>
        <create_date>2026-03-12T07:28:20.021582+00:00</create_date>
        <update_date>2026-04-11T09:26:34.072237+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/ThomasFarmer/PotreeCraft/issues]]></tracker>
        <repository><![CDATA[https://github.com/ThomasFarmer/PotreeCraft]]></repository>
        <tags><![CDATA[pointcloud,potree]]></tags>
        <downloads>113</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Geo Crop Ref" version="1.1" plugin_id="4839">
        <description><![CDATA[Crops scanned maps/plans visually before Georeferencing and auto-loads them into the Georeferencer.]]></description>
        <about><![CDATA[A handy tool that allows you to draw a bounding box over a scanned image to crop out white borders, legends, or margins. It uses GDAL to physically crop the raster losslessly, saving it to a temporary file, and automatically pushing the result to the native QGIS Georeferencer.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/novakgeoenergie/geocropref]]></homepage>
        <file_name>geocropref.1.1.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Petr Novak]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/geocropref/version/1.1/download/</download_url>
        <uploaded_by><![CDATA[petrnovak]]></uploaded_by>
        <create_date>2026-03-12T15:09:04.283564+00:00</create_date>
        <update_date>2026-03-12T15:09:06.096373+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/novakgeoenergie/geocropref]]></tracker>
        <repository><![CDATA[https://github.com/novakgeoenergie/geocropref]]></repository>
        <tags><![CDATA[raster,map,georeferencer,gdal,crop,scan]]></tags>
        <downloads>151</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Netflora" version="0.1.3" plugin_id="4847">
        <description><![CDATA[Netflora for forest inventory with drones, geotechnologies and AI in Western Amazonia.]]></description>
        <about><![CDATA[Netflora is a QGIS plugin for forest inventory with drones, geotechnologies and artificial intelligence in Western Amazonia.
It is part of the Netflora Project, developed by Embrapa Acre with sponsorship from the JBS Fund for the Amazon.
The plugin supports forest inventory workflows with biome-specific detection algorithms, flight-planning tools and optional PDF reporting.
More than 50,000 hectares of forest areas have already been mapped to help build the Netflora dataset.
Author: Mauro Alessandro Karasinski.
Institution: Embrapa Acre.
Project page: https://www.embrapa.br/acre/netflora
Support: https://fundojbsamazonia.org/
External ONNX-based model weights are not bundled in the plugin package.
When a model is used for the first time, Netflora can download the required release asset and cache it in the local QGIS profile.
Python runtimes such as onnxruntime must be installed in the QGIS Python environment.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/karasinski-mauro/Netflora]]></homepage>
        <file_name>Netflora.0.1.3.zip</file_name>
        <icon>/media/packages/2026/icon_xrQwy0t.png</icon>
        <author_name><![CDATA[Mauro Alessandro Karasinski]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Netflora/version/0.1.3/download/</download_url>
        <uploaded_by><![CDATA[karasinski]]></uploaded_by>
        <create_date>2026-03-13T12:53:57.119540+00:00</create_date>
        <update_date>2026-03-20T03:18:01.829565+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/karasinski-mauro/Netflora/issues]]></tracker>
        <repository><![CDATA[https://github.com/karasinski-mauro/Netflora]]></repository>
        <tags><![CDATA[remote sensing,processing,drone,forest,detection,biome,inference,yolo,flight planner]]></tags>
        <downloads>152</downloads>
        <average_vote>4.999500049995</average_vote>
        <rating_votes>10</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Survey Management System" version="1.0" plugin_id="4852">
        <description><![CDATA[Digital archiving system for Nigerian survey records with coordinate/bearing/distance calculations, document management, PostgreSQL integration, and GIS integration.]]></description>
        <about><![CDATA[This plugin provides a comprehensive digital archiving system for Nigerian survey records. Features include survey metadata management, bearing/distance calculations with DMS input, document upload with checksum verification, global search across all database tables, and direct PostgreSQL/PostGIS integration.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/Sochukwumaobim/surveymanagement]]></homepage>
        <file_name>surveymanagement.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_5N0tgnc.png</icon>
        <author_name><![CDATA[ASTROMAT GEO-SERVICES]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/surveymanagement/version/1.0/download/</download_url>
        <uploaded_by><![CDATA[sochukwumaobim]]></uploaded_by>
        <create_date>2026-03-14T19:52:08.957316+00:00</create_date>
        <update_date>2026-03-14T19:52:10.883504+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Sochukwumaobim/surveymanagement]]></tracker>
        <repository><![CDATA[https://github.com/Sochukwumaobim/surveymanagement]]></repository>
        <tags><![CDATA[python]]></tags>
        <downloads>50</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Profiler" version="0.0.1b1" plugin_id="4854">
        <description><![CDATA[Tool and library to make profiling QGIS and plugins easy]]></description>
        <about><![CDATA[This plugin extends the Debugging/Development Tools dock widget profiling panel in various ways. Check &lt;a href=&quot;https://github.com/Joonalai/profiler-qgis-plugin/blob/main/README.md&quot;&gt;README&lt;/a&gt; for instructions.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://profiler-qgis-plugin.readthedocs.io]]></homepage>
        <file_name>profiler_plugin.0.0.1b1.zip</file_name>
        <icon>/media/packages/2026/icon_48bFYV2.svg</icon>
        <author_name><![CDATA[Joonalai]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/profiler_plugin/version/0.0.1b1/download/</download_url>
        <uploaded_by><![CDATA[joonala]]></uploaded_by>
        <create_date>2026-03-14T22:23:28.611377+00:00</create_date>
        <update_date>2026-03-14T22:23:30.375237+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/Joonalai/profiler-qgis-plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/Joonalai/profiler-qgis-plugin]]></repository>
        <tags><![CDATA[development,performance,profiler,profiling]]></tags>
        <downloads>222</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="TRACT Geolocation Formatter" version="0.2.0" plugin_id="4861">
        <description><![CDATA[Validate, clean, and convert geolocation layers into the TRACT GeoJSON template for sustainability and traceability workflows.]]></description>
        <about><![CDATA[The TRACT Geolocation Formatter is a QGIS plugin designed to help GIS practitioners prepare geolocation datasets for ingestion into the TRACT platform. The plugin validates and cleans polygon geometries, standardizes coordinate precision, and converts layers into the TRACT GeoJSON template format. It detects common geometry issues such as self-intersections, duplicate vertices, invalid polygons, and schema inconsistencies, while providing a validation report to help users identify and correct problematic features before upload.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/tract-eco/tract-geolocation-formatter]]></homepage>
        <file_name>tract_geolocation_formatter.0.2.0.zip</file_name>
        <icon>/media/packages/2026/icon_J03c8X5.png</icon>
        <author_name><![CDATA[Luis Carrasco]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/tract_geolocation_formatter/version/0.2.0/download/</download_url>
        <uploaded_by><![CDATA[luiscartor]]></uploaded_by>
        <create_date>2026-03-16T15:01:10.176758+00:00</create_date>
        <update_date>2026-04-15T13:55:17.556218+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/tract-eco/tract-geolocation-formatter/issues]]></tracker>
        <repository><![CDATA[https://github.com/tract-eco/tract-geolocation-formatter]]></repository>
        <tags><![CDATA[sustainability,geojson,gis,qgis,data cleaning,geolocation,traceability,geometry validation]]></tags>
        <downloads>88</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Copernicus Disaster Explorer" version="2.2.1" plugin_id="4871">
        <description><![CDATA[Explore confirmed natural disasters in Italy and load the Sentinel imagery that captured them, with automatic band selection and symbology.]]></description>
        <about><![CDATA[This plugin connects confirmed disaster events (from CEMS, EFFIS) with Sentinel satellite imagery from Copernicus Data Space. For each event (flood, wildfire, volcano, landslide) it finds the matching Sentinel-1/2 images, downloads them with real-time progress, and loads the relevant spectral bands with appropriate false-color symbology for immediate visual analysis. Floods use dual-sensor search (SAR + optical). Requires a free Copernicus Data Space account (https://dataspace.copernicus.eu). Geographic coverage: Italy (expandable). Interface in Italian.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.34.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/GISspecialistAlejandraDuque/copernicus-disaster-explorer]]></homepage>
        <file_name>copernicus_disaster_explorer.2.2.1.zip</file_name>
        <icon>/media/packages/2026/plugin_icon_TdhnWhq.png</icon>
        <author_name><![CDATA[GIS Specialist di Alejandra Duque Ropero]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/copernicus_disaster_explorer/version/2.2.1/download/</download_url>
        <uploaded_by><![CDATA[gissadr]]></uploaded_by>
        <create_date>2026-03-18T09:05:46.097397+00:00</create_date>
        <update_date>2026-03-23T10:02:09.411278+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/GISspecialistAlejandraDuque/copernicus-disaster-explorer/issues]]></tracker>
        <repository><![CDATA[https://github.com/GISspecialistAlejandraDuque/copernicus-disaster-explorer]]></repository>
        <tags><![CDATA[flood,disaster,remote sensing,sentinel,sar,ndwi,italy,landslide,fire,copernicus,emergency,effis,cems,volcano]]></tags>
        <downloads>227</downloads>
        <average_vote>4.713949003642597</average_vote>
        <rating_votes>14</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ArchToolkit" version="0.1.2" plugin_id="4873">
        <description><![CDATA[Integrated archaeology toolkit for QGIS covering terrain, visibility, cost, geology, and AOI reporting workflows.]]></description>
        <about><![CDATA[ArchToolkit is an integrated QGIS plugin for archaeological and cultural-heritage workflows.
It includes DEM generation, terrain analysis, viewshed and line-of-sight tools, cost surface and least-cost path/network analysis, terrain profiles, cadastral overlap, map styling, GeoChem helpers, KIGAM geology ZIP loading, and AOI reporting.
Requirements: QGIS 3.40+, Processing, GDAL, and NumPy in the QGIS Python environment.
Optional service: Gemini API access for AI AOI reporting.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lzpxilfe/ar#readme]]></homepage>
        <file_name>ArchToolkit.0.1.2.zip</file_name>
        <icon>/media/packages/2026/icon_TCRqjqd.png</icon>
        <author_name><![CDATA[lzpxilfe(balguljang2)]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ArchToolkit/version/0.1.2/download/</download_url>
        <uploaded_by><![CDATA[lzpxilfe]]></uploaded_by>
        <create_date>2026-03-18T12:24:02.520564+00:00</create_date>
        <update_date>2026-03-28T16:51:13.042401+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lzpxilfe/ar/issues]]></tracker>
        <repository><![CDATA[https://github.com/lzpxilfe/ar]]></repository>
        <tags><![CDATA[geology,archaeology,viewshed,ahp,qgis,kriging,geochem,cost-surface,terrain-analysis,line-of-sight,cultural-heritage,network-analysis,least-cost-path]]></tags>
        <downloads>183</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="SIOSE2CN" version="0.1.1" plugin_id="4874">
        <description><![CDATA[Calcula P0 y Número de Curva (CN) a partir de SIOSE, pendiente e IGME para flujos de trabajo hidrológicos e hidráulicos en España Peninsular.]]></description>
        <about><![CDATA[SIOSE2CN es un complemento de QGIS que calcula automáticamente el umbral de escorrentía (P0) y el Número de Curva (CN) a partir de coberturas del suelo SIOSE-AR, pendiente del terreno derivada de un MDT, y grupos hidrológicos obtenidos de la capa de permeabilidad del IGME (escala 1:200.000). El resultado es un raster NC_CURSO listo para su uso en modelos lluvia-escorrentía como HEC-HMS, HEC-RAS 2D u otros. Válido para España Peninsular. Soporta SIOSE-AR 2016, 2017, 2018 y 2020. La capa de permeabilidad IGME puede descargarse automáticamente, cargarse desde archivo local o conectarse mediante el servidor ArcGIS REST del IGME. Este desarrollo ha contado con la colaboración de Antonio López Espinazo, que aportó la metodología y la capa maestra de permeabilidad IGME utilizada en el cálculo.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pedroiba94/SIOSE2CN]]></homepage>
        <file_name>SIOSE2CN.0.1.1.zip</file_name>
        <icon>/media/packages/2026/icon_DTHtTZE.png</icon>
        <author_name><![CDATA[Pedro Ivar y Hugo Alejandro Bohorquez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/SIOSE2CN/version/0.1.1/download/</download_url>
        <uploaded_by><![CDATA[pedrito94]]></uploaded_by>
        <create_date>2026-03-19T10:22:46.889689+00:00</create_date>
        <update_date>2026-03-19T10:22:48.786347+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pedroiba94/SIOSE2CN/issues]]></tracker>
        <repository><![CDATA[https://github.com/pedroiba94/SIOSE2CN]]></repository>
        <tags><![CDATA[hydrology,spain,hec-ras,hidrologia,españa,curve number,cn,runoff,mdt,hec-hms,siose,igme,infiltration,umbral escorrentia,p0,permeabilidad,numero de curva,pendiente]]></tags>
        <downloads>254</downloads>
        <average_vote>4.999285816311955</average_vote>
        <rating_votes>7</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Shp2SSAP" version="2.0.8.276" plugin_id="4879">
        <description><![CDATA[Qgis plugin to create simple geological model for SSAP software (www.ssap.eu)]]></description>
        <about><![CDATA[Convert XY data profile in Shapefile for SSAP and Shapefile in files SSAP (.dat, .geo, .fld, .svr, .mod).
Create a polyline shapefile that describes a simple geolocical model for SSAP Software.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/lsulli/shp2ssap]]></homepage>
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        <icon>/media/packages/2026/xy2Shp_forSSAP_trDA8VL.ico</icon>
        <author_name><![CDATA[Lorenzo Sulli - Autorità di bacino distrettuale Appennino settentrionale]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/Shp2SSAP_QGIS/version/2.0.8.276/download/</download_url>
        <uploaded_by><![CDATA[lsulli]]></uploaded_by>
        <create_date>2026-03-22T14:10:41.207607+00:00</create_date>
        <update_date>2026-04-11T13:50:21.139448+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/lsulli/shp2ssap/issues]]></tracker>
        <repository><![CDATA[https://github.com/lsulli/shp2ssap/tree/master/Shp2ssap_code_repository_plugin_page/Shp2SSAP_QGIS]]></repository>
        <tags><![CDATA[ssap]]></tags>
        <downloads>64</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="R Console" version="0.3.1" plugin_id="4880">
        <description><![CDATA[A code editor and R console integrated into QGIS]]></description>
        <about><![CDATA[R Console embeds a full R environment inside QGIS. It provides an interactive console with command history, a script editor with syntax highlighting and autocompletion, and a QgisProject R6 object that exposes the active project&#x27;s layers and metadata to R. Layers can be loaded into R as sf or SpatRaster objects and inserted back into QGIS after processing.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.30.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
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        <file_name>r_console.0.3.1.zip</file_name>
        <icon>/media/packages/2026/Rlogo_LHwkQzM.png</icon>
        <author_name><![CDATA[Juan Mendoza]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/r_console/version/0.3.1/download/</download_url>
        <uploaded_by><![CDATA[jsmendozap]]></uploaded_by>
        <create_date>2026-03-22T20:00:58.089469+00:00</create_date>
        <update_date>2026-04-05T18:03:22.708677+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/jsmendozap/rqgis/issues]]></tracker>
        <repository><![CDATA[https://github.com/jsmendozap/rqgis]]></repository>
        <tags><![CDATA[r]]></tags>
        <downloads>241</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="GTFS 2 GIS" version="0.4.7" plugin_id="4886">
        <description><![CDATA[Visualize and analyze GTFS transit data in QGIS with styled layers, dashboards, and real-time vehicle tracking.]]></description>
        <about><![CDATA[A comprehensive QGIS plugin for loading, visualizing, and analyzing GTFS (General Transit Feed Specification) and GTFS-RT data. Features include: styled route and stop layers, real-time vehicle tracking with bearing-based icons, frequency heatmaps, population coverage analysis (IBGE), transit desert detection, network isochrones, and a dynamic real-time dashboard.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.40.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/arrobaraujo/qgis_gtfs_plugin]]></homepage>
        <file_name>qgis_gtfs_plugin.0.4.7.zip</file_name>
        <icon>/media/packages/2026/icon_ibpYxxt.png</icon>
        <author_name><![CDATA[Erick Araujo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgis_gtfs_plugin/version/0.4.7/download/</download_url>
        <uploaded_by><![CDATA[arrobaraujo]]></uploaded_by>
        <create_date>2026-03-24T12:34:59.738926+00:00</create_date>
        <update_date>2026-03-24T15:50:52.525696+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/arrobaraujo/qgis_gtfs_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/arrobaraujo/qgis_gtfs_plugin]]></repository>
        <tags><![CDATA[analysis,shape,tracker,transport,heatmap,gtfs,coverage,real-time,transit,stop,bus,subway]]></tags>
        <downloads>476</downloads>
        <average_vote>4.999000199960007</average_vote>
        <rating_votes>5</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="IVR" version="1.0.0" plugin_id="4894">
        <description><![CDATA[Residential Vulnerability Index (IVR) analysis using cadastral and spatial data]]></description>
        <about><![CDATA[This plugin calculates and analyses the Residential Vulnerability Index (IVR) using cadastral data from Spain. Developed as part of academic research, it provides tools for spatial analysis of residential vulnerability. It requires downloading cadastral data (Dirección General del Catastro), which may require a digital certificate. In some cases, data are distributed as split compressed files, requiring 7-Zip for extraction.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/wildmanu/ivr_plugin]]></homepage>
        <file_name>ivr_plugin.1.0.0.zip</file_name>
        <icon>/media/packages/2026/icon_L2yMAFV.png</icon>
        <author_name><![CDATA[Manuel Blasco Jiménez]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ivr_plugin/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[manuelxblasco]]></uploaded_by>
        <create_date>2026-03-25T15:31:15.243040+00:00</create_date>
        <update_date>2026-03-31T11:49:03.282758+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/wildmanu/ivr_plugin/issues]]></tracker>
        <repository><![CDATA[https://github.com/wildmanu/ivr_plugin]]></repository>
        <tags><![CDATA[cadastre,qgis,vulnerability,urban analysis,residential]]></tags>
        <downloads>42</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Vector To YOLO" version="0.1" plugin_id="4902">
        <description><![CDATA[This plugin generates image chips for YOLO training]]></description>
        <about><![CDATA[VecToYOLO: Geospatial Training Data Generator

VecToYOLO is a powerful QGIS plugin designed to streamline the creation of deep learning datasets. It automates the process of converting large-scale satellite imagery or drone orthomosaics into localized image &quot;chips&quot; (patches) with corresponding label files, formatted specifically for the YOLO (You Only Look Once) object detection and segmentation framework.

Core Features

Dual Task Support: Supports both Object Detection (bounding boxes) and Instance Segmentation (polygon-to-mask conversion).

Flexible Data Handling: * 8-bit Drone Orthomosaics: Standard RGB processing.

16-bit Satellite Imagery: Automatic reflectance scaling (e.g., Sentinel-2 L2A) to 8-bit PNG for model compatibility.

Advanced Data Splitting: Choose between Random splitting or Spatial splitting (using geographic rows) to ensure more robust validation and prevent data leakage.

Customizable Overlap: Control the overlap percentage between chips—crucial for small object detection or continuous landcover mapping.

Ready-to-Train Output: Generates a structured directory with train/ and val/ folders, a classes.txt file, and a pre-configured data.yaml file tailored for Kaggle, Google Colab, or Local environments.

How it Works

Alignment: Automatically reprojects your vector annotations to match the CRS of your raster.

Tiling: Iterates through your specified map extent, creating image tiles based on your desired chip size and overlap.

Label Mapping: Maps vector attributes to class IDs and converts geographic coordinates into the normalized YOLO format.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://hicsuntdracone.github.io/vector-to-yolo/]]></homepage>
        <file_name>vector_to_yolo.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_IWQATRG.png</icon>
        <author_name><![CDATA[Yogi Satrio Wijoyo]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/vector_to_yolo/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[hicsuntdracone]]></uploaded_by>
        <create_date>2026-03-26T14:44:35.676214+00:00</create_date>
        <update_date>2026-03-26T15:43:35.863209+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/hicsuntdracone/vector-to-yolo/issues]]></tracker>
        <repository><![CDATA[https://github.com/hicsuntdracone/vector-to-yolo]]></repository>
        <tags><![CDATA[vector,raster,labeling,machine learning,computer vision,semantic segmentation,yolo]]></tags>
        <downloads>69</downloads>
        <average_vote>4.9950049950049955</average_vote>
        <rating_votes>1</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="QGarage" version="1.0.1" plugin_id="4916">
        <description><![CDATA[Modular app-hosting framework for QGIS. Install, manage, and run isolated mini-tools from a single dashboard.]]></description>
        <about><![CDATA[QGarage is a plugin-within-a-plugin framework. Each &quot;App&quot; runs in its own isolated uv virtual environment with fault tolerance, a modern card-based UI, and zero-friction developer experience. Features include: a dashboard with card-based UI for managing apps, per-app isolated virtual environments via uv, dynamic app loading with fault isolation, dark/light theme support, and a scaffold wizard for creating new apps.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>4.0.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/mattbat44/QGarage/]]></homepage>
        <file_name>qgarage.1.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_3RoJ81I.svg</icon>
        <author_name><![CDATA[Matt Adams]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/qgarage/version/1.0.1/download/</download_url>
        <uploaded_by><![CDATA[mattbat44]]></uploaded_by>
        <create_date>2026-03-29T09:15:52.809220+00:00</create_date>
        <update_date>2026-03-30T00:36:33.076213+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/mattbat44/QGarage/issues]]></tracker>
        <repository><![CDATA[https://github.com/mattbat44/QGarage/]]></repository>
        <tags><![CDATA[tools,dashboard,modular,apps,virtual-environment,framework]]></tags>
        <downloads>163</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="ANNCSU Loader" version="1.8" plugin_id="4932">
        <description><![CDATA[Carica indirizzi ANNCSU da file Parquet locale filtrando per comune / Load ANNCSU addresses from local Parquet file filtered by municipality]]></description>
        <about><![CDATA[Plugin to load ANNCSU data (Italian National Archive of Civic Numbers and Urban Streets)
from a local Parquet file. Allows filtering by municipality and saving results
as Parquet or GeoPackage with point geometry. Requires the duckdb library (pip install duckdb).
Supports both QGIS 3.x and QGIS 4.x / PyQt6.
---
Plugin per caricare i dati ANNCSU (Archivio Nazionale Numeri Civici e Strade Urbane)
da file Parquet locale. Permette di filtrare per comune e salvare in formato
Parquet o GeoPackage. Richiede la libreria duckdb (pip install duckdb).
Realizzato con Claude Code (https://claude.ai/code).]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.20.0</qgis_minimum_version>
        <qgis_maximum_version>4.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/pigreco/anncsu_loader]]></homepage>
        <file_name>anncsu_loader.1.8.zip</file_name>
        <icon>/media/packages/2026/icon_uyTa1eT.png</icon>
        <author_name><![CDATA[Salvatore Fiandaca]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/anncsu_loader/version/1.8/download/</download_url>
        <uploaded_by><![CDATA[toto71]]></uploaded_by>
        <create_date>2026-03-30T19:39:27.268075+00:00</create_date>
        <update_date>2026-04-17T13:16:12.727897+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/pigreco/anncsu_loader/issues]]></tracker>
        <repository><![CDATA[https://github.com/pigreco/anncsu_loader]]></repository>
        <tags><![CDATA[italia,duckdb,parquet,indirizzi,civici,anncsu]]></tags>
        <downloads>216</downloads>
        <average_vote>4.997501249375313</average_vote>
        <rating_votes>2</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="AboveQGIS" version="0.1.0" plugin_id="4939">
        <description><![CDATA[KyFromAbove LiDAR, DEM, and orthoimagery data access for QGIS]]></description>
        <about><![CDATA[Access Kentucky&#x27;s KyFromAbove geospatial data directly from QGIS.
Search by county or map extent, download tiles with concurrent transfers,
mosaic into VRT, and generate hillshade — all from the Processing toolbox.
Powered by abovepy. No credentials required.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.28.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://chrislyonsKY.github.io/AbovePy/]]></homepage>
        <file_name>aboveqgis.0.1.0.zip</file_name>
        <icon>/media/packages/2026/icon_D1rd87d.png</icon>
        <author_name><![CDATA[Chris Lyons]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/aboveqgis/version/0.1.0/download/</download_url>
        <uploaded_by><![CDATA[clyons]]></uploaded_by>
        <create_date>2026-03-31T12:17:43.367398+00:00</create_date>
        <update_date>2026-03-31T12:17:45.207508+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/chrislyonsKY/AbovePy/issues]]></tracker>
        <repository><![CDATA[https://github.com/chrislyonsKY/AbovePy]]></repository>
        <tags><![CDATA[dem,elevation,lidar,stac,cog,kyfromabove,orthoimagery,kentucky]]></tags>
        <downloads>494</downloads>
        <average_vote>2.1663056157307112</average_vote>
        <rating_votes>6</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="VRI Pivo" version="0.1" plugin_id="4941">
        <description><![CDATA[Center Pivot Systems Irrigation]]></description>
        <about><![CDATA[The plugin performs data interpolation and delineation of management zones intended for variable rate irrigation (VRI) management in center pivot systems.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/romariocarvalhoneto/vri_pivo]]></homepage>
        <file_name>pivo.0.1.zip</file_name>
        <icon>/media/packages/2026/icon_tX1wNlO.png</icon>
        <author_name><![CDATA[Silas Alves Souza, Romário Moraes Carvalho Neto and Fernando Campos Mendonça]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/pivo/version/0.1/download/</download_url>
        <uploaded_by><![CDATA[romariocarvalho]]></uploaded_by>
        <create_date>2026-03-31T22:51:47.826815+00:00</create_date>
        <update_date>2026-03-31T22:51:49.674801+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/romariocarvalhoneto/vri_pivo/issues]]></tracker>
        <repository><![CDATA[https://github.com/romariocarvalhoneto/vri_pivo]]></repository>
        <tags><![CDATA[management zones,variable rate irrigation,sustainable irrigated agriculture,precision irrigation,irrigation efficiency,delineation of homogeneous zones]]></tags>
        <downloads>40</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="Ribbon Toolbar" version="0.4.1" plugin_id="4972">
        <description><![CDATA[Replaces QGIS menus and toolbars with a Microsoft Office-like ribbon interface]]></description>
        <about><![CDATA[This plugin hides the default QGIS menus and toolbars and replaces them with a tabbed ribbon interface similar to Microsoft Office applications. All existing actions are organized into ribbon tabs with grouped sections.
Disclaimer: this plugin is entirely generated by AI as a proof of concept. Use with caution.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.22.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/eithanwes/ribbon_toolbar]]></homepage>
        <file_name>ribbon_toolbar.0.4.1.zip</file_name>
        <icon>/media/packages/2026/icon_k7EJIJj.svg</icon>
        <author_name><![CDATA[Eithan Weiss Schonberg]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/ribbon_toolbar/version/0.4.1/download/</download_url>
        <uploaded_by><![CDATA[eithanwes]]></uploaded_by>
        <create_date>2026-04-05T11:03:33.013307+00:00</create_date>
        <update_date>2026-04-14T11:24:40.857744+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker><![CDATA[https://github.com/eithanwes/ribbon_toolbar/issues]]></tracker>
        <repository><![CDATA[https://github.com/eithanwes/ribbon_toolbar]]></repository>
        <tags><![CDATA[toolbar,ui]]></tags>
        <downloads>100</downloads>
        <average_vote>0.0</average_vote>
        <rating_votes>0</rating_votes>
        <external_dependencies></external_dependencies>
        <server>False</server>
    </pyqgis_plugin><pyqgis_plugin name="PlanX Uygulama İmar Planı (Master Plan) Toolset" version="1.0.0" plugin_id="4975">
        <description><![CDATA[PlanX Spatial Planning Plugins - A toolset automating the Uygulama Imar Plani (UIP - Master Plan) implementation processes.]]></description>
        <about><![CDATA[Automated planning tools prepared with the vision of urban resilience, advanced spatial analysis, and optimization-based planning. Generates rapid UIP base layers and layouts.]]></about>
        <trusted>False</trusted>
        <qgis_minimum_version>3.0.0</qgis_minimum_version>
        <qgis_maximum_version>3.99.0</qgis_maximum_version>
        <homepage><![CDATA[https://github.com/YusufEminoglu/PlanX-UIP]]></homepage>
        <file_name>planx_uip_arac_seti.1.0.0.zip</file_name>
        <icon></icon>
        <author_name><![CDATA[Yusuf Eminoglu]]></author_name>
        <download_url>https://plugins.qgis.org/plugins/planx_uip_arac_seti/version/1.0.0/download/</download_url>
        <uploaded_by><![CDATA[geo140195philo]]></uploaded_by>
        <create_date>2026-04-05T15:31:09.626600+00:00</create_date>
        <update_date>2026-04-05T15:31:11.379733+00:00</update_date>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
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See instruction of to setup running environment into https://github.com/anncsu-open/anncsu-manager
or be sure to have version matching these requirements https://github.com/anncsu-open/anncsu-manager/blob/main/qgisenv/pixi.toml
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        <tracker><![CDATA[https://github.com/R-Repo/qgis-bridge/issues]]></tracker>
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        <server>False</server>
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