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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Geo-Zone Check Germany | — | 379 | 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 | |||||||||
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Google Earth Engine | — | 605582 | Gennadii Donchyts, Xavier Corredor Llano, Fedor Baart | 2023-01-05T02:24:38.528683+00:00 | 2019-12-02T19:03:26.082653+00:00 | (140) |
0.0.6 | — |
| Integrates QGIS with Google Earth Engine | |||||||||
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Google Earth Engine Data Catalog | — | 235433 | Sandro Klippel | 2022-04-13T02:53:24.558211+00:00 | 2020-05-31T06:54:45.049587+00:00 | (41) |
0.4.3 | 0.1 |
| Search, view and download satellite imagery and geospatial datasets from Google Earth Engine. | |||||||||
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Land Productivity Analysis Tool (LPAT) | — | 5720 | 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 | |||||||||
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LAStools | — | 257937 | rapidlasso GmbH | 2024-03-04T21:42:40.616166+00:00 | 2018-08-26T14:15:25.927033+00:00 | (407) |
2.1.0 | 0.4 |
| batch-scriptable, multicore, command-line tools for processing point clouds in LAS, LAZ & ASCII formats | |||||||||
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Lidar Slovenia Data Downloader | — | 5690 | Nejc Dougan | 2017-03-25T20:18:22.860126+00:00 | 2017-01-21T22:24:33.139129+00:00 | (17) |
1.1 | — |
| Plugin for downloading data from Lidar Scanning of Slovenia (LSS) | |||||||||
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Mapflow | — | 89884 | Geoalert | 2024-05-06T06:28:03.719703+00:00 | 2021-07-09T15:15:42.595345+00:00 | (83) |
2.6.1 | — |
| 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. | |||||||||
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MESMA | — | 2529 | Ann Crabbé | 2020-11-29T19:40:23.132186+00:00 | 2020-02-27T17:49:01.656450+00:00 | (18) |
1.0.8 | — |
| Processing tools for the MESMA (Multiple Endmember Spectral Mixture Analysis) unmixing algorithm. | |||||||||
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Multitemporal Analyzer | — | 24523 | 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) | |||||||||
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Neural Network MLPClassifier | — | 8585 | Ann Crabbé | 2020-11-29T20:17:51.459177+00:00 | 2020-04-13T19:34:53.278097+00:00 | (18) |
1.0.7 | — |
| The Neural Network MLPClassifier predicts classified images using supervised classification. | |||||||||
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Nimbo's Earth Basemaps | — | 6591 | 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> | |||||||||
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Oceancolor Data Downloader | — | 11712 | Louise Ireland | 2016-02-24T15:35:21.425574+00:00 | 2015-02-11T13:31:23.216352+00:00 | (22) |
1.1.2 | — |
| Downloads oceancolor and sea surface temperature datasets from NASA Oceancolor. | |||||||||
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Open Aerial Map (OAM) | — | 21110 | Humanitarian OpenStreetMap Team | 2019-03-18T18:17:06.432053+00:00 | 2015-09-12T14:37:49.669920+00:00 | (26) |
— | 0.1-alpha.3.6 |
| Open Aerial Map (OAM) client to upload, search, and download imagery and metadata | |||||||||
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Open Aerial Map (OAM) for QGIS3, Express Edition | — | 4117 | yojiyojiyoji | 2021-05-06T03:44:52.535960+00:00 | 2021-05-06T03:44:50.341840+00:00 | (0) |
— | 0.1.0 |
| Open Aerial Map (OAM) client for QGIS3, Express Edition | |||||||||
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OpenEO | — | 5391 | 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. | |||||||||
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PCA4CD - PCA for change detection | — | 17537 | Xavier Corredor Llano, SMByC | 2023-02-16T04:09:02.372694+00:00 | 2019-02-05T03:35:21.467362+00:00 | (20) |
23.2a | — |
| PCA4CD is a QGIS plugin that computes Principal Component Analysis (PCA) and can create a change detection layer using PCA's dimensionality reduction properties. | |||||||||
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Pixel Purity Index | — | 493 | 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 | |||||||||
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pktools | — | 13003 | Pieter Kempeneers | 2016-01-21T16:47:05.125961+00:00 | 2015-05-29T14:48:46.747339+00:00 | (30) |
1.0.7 | 1.0.4 |
| Processing kernel for geospatial data | |||||||||
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Planet_Explorer | — | 113023 | 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>. | |||||||||
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pqkmeans-clustering | — | 215 | 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. | |||||||||
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