QGIS Python Plugins Repository
Plugins tagged with: remote-sensing
53 records found —
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Name | Featured | Downloads | Author | Latest Plugin Version | Created on | Stars (votes) ↓ | Stable | Exp. | |
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Spectral Library Tool | — | 6440 | Ann Crabbé | 2020-12-12T15:44:18.997911+00:00 | 2020-02-28T21:51:18.727754+00:00 | (4) |
1.1.3 | — | |
The Spectral Library Tool is a suite of processing tools for multi- and hyperspectral libraries. | |||||||||
Land Productivity Analysis Tool (LPAT) | — | 5677 | 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 | |||||||||
Geo-Zone Check Germany | — | 369 | Jannis Midasch | 2023-01-10T12:27:43.947649+00:00 | 2023-01-10T12:27:43.762521+00:00 | (1) |
— | 0.1 | |
UAS flight restriction checker for Germany | |||||||||
pqkmeans-clustering | — | 186 | armstrong ngolo | 2024-02-14T03:07:23.545558+00:00 | 2024-02-14T03:07:21.790258+00:00 | (1) |
— | 0.1 | |
This clustering algorithm is a quantized version of the K-Means algorithm that is memory and computationaly more efficient. | |||||||||
Pixel Purity Index | — | 440 | Gustavo Ferreira | 2024-02-22T13:15:29.564959+00:00 | 2024-02-16T14:20:37.756061+00:00 | (1) |
0.2.1 | — | |
Pixel Purity Index algorithm | |||||||||
LAStools | — | 254751 | rapidlasso GmbH | 2024-03-04T21:42:40.616166+00:00 | 2018-08-26T14:15:25.927033+00:00 | (405) |
2.1.0 | 0.4 | |
batch-scriptable, multicore, command-line tools for processing point clouds in LAS, LAZ & ASCII formats | |||||||||
RST | — | 1747 | Fatima Ezahrae Ezzaher; Nizar Ben Achhab; Hafssa Naciri; Naoufal Raissouni | 2023-10-24T00:34:23.427054+00:00 | 2023-09-12T13:33:14.122181+00:00 | (54) |
1.1 | — | |
This plugin computes biophysical indices | |||||||||
Nimbo's Earth Basemaps | — | 6304 | 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> | |||||||||
Planet_Explorer | — | 111376 | Planet Inc | 2024-04-12T20:48:32.804403+00:00 | 2019-12-09T19:12:11.291275+00:00 | (28) |
2.3.3 | — | |
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.<br><br>Full documentation for the Plugin is available <a href="https://developers.planet.com/docs/integrations/qgis/">here</a>. | |||||||||
EnMAP-Box 3 | — | 65596 | 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 | |||||||||
Deepness: Deep Neural Remote Sensing | — | 15438 | PUT Vision | 2024-04-14T12:48:03.235279+00:00 | 2022-10-20T11:38:13.982136+00:00 | (75) |
0.6.3 | 0.3.0 | |
Inference of deep neural network models (ONNX) for segmentation, detection and regression | |||||||||
OpenEO | — | 5346 | Bernhard Goesswein, Nina Gnann | 2020-10-14T08:16:49.377992+00:00 | 2019-09-06T12:45:58.103379+00:00 | (9) |
1.0 | 0.9.2 | |
Plugin to access openEO compliant backends. | |||||||||
PyGeoRS | — | 856 | Dr. Anass MARZOUKI, Pr. Abdallah DRIDRI | 2023-10-30T21:22:25.698281+00:00 | 2023-10-29T23:01:50.071646+00:00 | (3) |
0.1.1 | 0.1 | |
PyGeoRS is a dynamic QGIS plugin designed to streamline and enhance your remote sensing workflow within the QGIS environment. | |||||||||
Estonian Oblique Aerial Photographs | — | 192 | Estonian Land Board | 2024-03-18T09:36:16.245584+00:00 | 2024-03-18T09:36:14.892518+00:00 | (3) |
1.0.0 | — | |
Get the oblique aerial photographs of Estonia at the clicked location on the map | |||||||||
Terminus | — | 3539 | Ioannis Kotaridis and Maria Lazaridou | 2022-03-20T11:56:50.632609+00:00 | 2020-10-26T21:43:53.347557+00:00 | (99) |
1.0.2 | 0.1 | |
Image Segmentation | |||||||||
SentinelHub | — | 126651 | Sinergise | 2023-09-14T08:21:45.651517+00:00 | 2017-11-30T16:30:22.897726+00:00 | (53) |
2.0.2 | — | |
SentinelHub plugin enables users to harness the power of Sentinel Hub services directly from QGIS. | |||||||||
EO Time Series Viewer | — | 25485 | Benjamin Jakimow, Sebastian van der Linden, Patrick Hostert | 2023-04-08T12:27:41.923052+00:00 | 2018-05-14T12:41:16.692658+00:00 | (20) |
1.18.20230408T142322.main | — | |
Visualization of multi-sensor Earth observation time series data. | |||||||||
Deep Learning Datasets Maker | — | 3130 | deepbands (Youssef Harby and Yizhou Chen) | 2022-01-19T02:15:29.531264+00:00 | 2021-12-11T04:40:00.358152+00:00 | (7) |
— | 0.2.1 | |
tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets | |||||||||
agknow for QGIS | — | 27395 | geo|cledian.com | 2022-10-12T08:59:16.143805+00:00 | 2018-12-11T19:27:29.218272+00:00 | (15) |
0.7.5 | — | |
Plugin for using the ag|knowledge REST API from <a href="https://geocledian.com">geo|cledian</a> | |||||||||
Semi-Automatic Classification Plugin | 1800327 | Luca Congedo | 2024-01-27T11:06:03.106174+00:00 | 2013-02-14T17:42:29.520135+00:00 | (602) |
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. |
Deprecated plugins are printed in red.