QGIS Python Plugins Repository
Plugins tagged with: land-cover
15 records found —
Click to toggle descriptions.
| Name | Featured ↑ | Downloads | Author | Latest Plugin Version | Created on | Stars (votes) | Stable | Exp. | |
|---|---|---|---|---|---|---|---|---|---|
|
MISLAND | — | 2191 | Mustapha MIMOUNI, Toure SOULEYMANE, Vivianne META, Grace AMONDI, Derick ONGERI | 2021-03-06T10:19:11.053029+00:00 | 2021-03-05T06:23:39.109467+00:00 | (0) |
1.0.6 | 1.0.4 |
| The core-service provides land degradation indicators for six North 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) MISLAND QGIS plugin has been developed in the framework of GMES&Africa by OSS and its partners (ASAL, CNCT, LCRSSS, DRC, CRTEAN, UNA, CRASTE-LF) and LOCATE-IT. | |||||||||
|
ST_LUCAS Download Manager | — | 1289 | CTU GeoForAll Lab (Jaroslav Zeman, Tomas Boucek, Martin Landa) | 2023-03-17T09:34:18.901411+00:00 | 2022-06-05T15:02:21.162739+00:00 | (0) |
1.0.4 | 1.1.0 |
| QGIS plugin for accessing harmonized space-time aggregated LUCAS data provided by the ST_LUCAS system. | |||||||||
|
Copernicus Global Land QGIS plugin | — | 6830 | Federico Gianoli | 2022-11-04T10:29:20.082519+00:00 | 2021-01-02T17:34:08.319059+00:00 | (36) |
— | 2.0 |
| This plugin allows to download Copernicus Global Land products (Land Cover, NDVI, FAPAR, ...). Requires Pandas library. | |||||||||
|
Mapping Biocontrol Ecosystem Services | — | 1901 | NaturalGIS | 2019-12-26T18:58:48.203475+00:00 | 2019-12-02T14:26:13.812092+00:00 | (1) |
— | 0.2 |
| 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 "New tools for monitoring ecosystems services in traditional Alentejo production systems under intensification" (ALT20-03-0145-FEDER-000008), co-funded by Alentejo 2020, Portugal 2020 and European Fund for Regional Development. | |||||||||
|
Wetland Vulnerability Analysis Tool | — | 4918 | ESIPPS | 2020-08-17T08:23:53.900464+00:00 | 2020-08-11T08:21:06.037743+00:00 | (4) |
1.1 | — |
| Analyze wetland vulnerability | |||||||||
|
AusMap | — | 75919 | Water Modelling Solutions | 2019-07-05T07:26:16.484932+00:00 | 2019-07-04T08:16:10.049690+00:00 | (64) |
1.1 | — |
| Developed by Water Modelling Solutions, AusMap is the essential plugin for Australian QGIS users, providing easy access to free Government datasets and other web services. | |||||||||
|
Google Earth Engine | — | 598154 | Gennadii Donchyts, Xavier Corredor Llano, Fedor Baart | 2023-01-05T02:24:38.528683+00:00 | 2019-12-02T19:03:26.082653+00:00 | (138) |
0.0.6 | — |
| Integrates QGIS with Google Earth Engine | |||||||||
|
Multitemporal Analyzer | — | 24486 | Arturo Mendoza | 2013-10-07T01:41:46.170977+00:00 | 2013-07-06T19:49:54.081817+00:00 | (17) |
0.7 | — |
| Multitemporal Analyzer of the surface area variation of a land cover. (University of Carabobo, Venezuela) | |||||||||
|
LecoS - Landscape Ecology Statistics | — | 137754 | Martin Jung | 2022-12-12T12:37:07.539337+00:00 | 2012-10-12T22:52:45.493699+00:00 | (113) |
3.0.1 | 1.7.4 |
| Contains several analytical functions for land cover analysis | |||||||||
|
trends.earth | — | 58268 | Conservation International | 2023-02-24T20:41:20.764246+00:00 | 2017-09-15T19:55:53.308697+00:00 | (59) |
2.1.14 | 2.0.7 |
| 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) | |||||||||
|
EnMAP-Box 3 | — | 64870 | Andreas Janz, Benjamin Jakimow, Sebastian van der Linden, Fabian Thiel, Henrike Dierkes | 2024-04-16T11:50:55.810933+00:00 | 2019-03-07T11:24:07.383848+00:00 | (98) |
3.14.2 | 3.14.1 |
| Imaging Spectroscopy and Remote Sensing for QGIS | |||||||||
|
Nimbo's Earth Basemaps | — | 6114 | Kermap | 2024-01-22T14:42:20.892455+00:00 | 2023-09-04T14:12:30.873471+00:00 | (139) |
0.5 | — |
| Nimbo's Earth Basemaps is an innovative Earth observation service providing cloud-free, homogenous mosaics of the world's entire landmass as captured by satellite imagery. Updated every month.<br><br>Along with this unprecedented refresh rate, Nimbo Earth Basemaps provides users with 4 data layers every month :<br><br>- Natural colors (RGB)<br>- Infrared (NIR)<br>- NDVI (vegetation helath index)<br>- Radar (SAR, VV/VH combination)<br><br>Maximum image resolution is 10m/px.<br>Images are served in WMS/WMTS format.<br><br>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.<br><br>Nimbo Earth Basemaps' views consist of monthly syntheses using imagery from Sentinel 1 and 2 satellites from the European Copernicus programme.<br><br>Nimbo is developed and published exclusively by Kermap:<br><a href="https://kermap.com" >https://kermap.com</a> | |||||||||
|
|
Land Productivity Analysis Tool (LPAT) | — | 5650 | RCMRD | 2020-07-18T07:23:25.638392+00:00 | 2020-07-14T06:17:33.617083+00:00 | (1) |
0.11 | — |
| The plugin analyzes and assesses land productivity | |||||||||
|
OpenHLZ | — | 453 | John Erskine | 2023-09-02T23:56:42.679713+00:00 | 2023-09-02T23:56:42.183524+00:00 | (1) |
— | 1.0 |
| An Open-source HLZ Identification Processing Plugin | |||||||||
|
Semi-Automatic Classification Plugin |  |
1793488 | Luca Congedo | 2024-01-27T11:06:03.106174+00:00 | 2013-02-14T17:42:29.520135+00:00 | (600) |
8.2.2 | — |
| The Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images. | |||||||||
Elements per page:
Deprecated plugins are printed in red.
Sustaining Members
