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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Accuracy Assessment | — | 93162 | Jared Kibele | 2014-01-23T03:29:19.971869+00:00 | 2013-01-26T00:24:33.545446+00:00 | (106) |
0.4.2 | 0.4.1 | |
Generate an error matrix and measures of mapping accuracy for raster and reference data. | |||||||||
Tree Density Calculator | — | 13071 | Ann Crabbé | 2020-11-29T19:13:29.248557+00:00 | 2020-01-14T15:49:34.683613+00:00 | (37) |
1.5.7 | 1.2 | |
The Tree Density Calculator is designed to calculate tree densities based on local maxima. | |||||||||
EOF-based Time Series Reconstructor | — | 2494 | Ann Crabbé | 2020-12-14T15:53:15.280171+00:00 | 2020-12-05T22:35:00.345471+00:00 | (7) |
4.0.5 | — | |
Python wrapper for DINEOF fortran executable (ULiège, Alvera-Azcárte and Barth) | |||||||||
CBERS4A Downloader | — | 27494 | Sandro Klippel | 2023-09-06T02:28:49.743587+00:00 | 2020-11-02T23:38:42.204193+00:00 | (10) |
0.3.3 | — | |
CBERS4A Downloader QGIS Plugin | |||||||||
AcATaMa | — | 123847 | Xavier Corredor Llano, SMByC | 2023-04-18T00:04:48.501097+00:00 | 2018-03-07T05:46:34.189541+00:00 | (78) |
23.4 | — | |
AcATaMa is a powerful and complete Qgis plugin for accuracy assessment that provides comprehensive support for sampling, response design and estimation. | |||||||||
Digital Number 2 NBR | — | 12172 | Daniel Sánchez Pillot Gutiérrez, J. J. del Toro Madrueño, iTerritorial | 2013-12-06T18:54:20.855728+00:00 | 2013-11-27T22:05:59.404863+00:00 | (6) |
1.0 | 0.1 | |
Convert Digital Number Landsat7 images to NBR | |||||||||
Lidar Slovenia Data Downloader | — | 5683 | 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) | |||||||||
Neural Network MLPClassifier | — | 8559 | Ann Crabbé | 2020-11-29T20:17:51.459177+00:00 | 2020-04-13T19:34:53.278097+00:00 | (17) |
1.0.7 | — | |
The Neural Network MLPClassifier predicts classified images using supervised classification. | |||||||||
Breeder Map | — | 4447 | Jose A. Jimenez-Berni (IAS-CSIC) | 2022-04-08T12:49:04.076193+00:00 | 2018-02-21T14:36:39.369778+00:00 | (8) |
0.3.1 | 0.2 | |
Creates a field layout for a typical row-column breeder's trial | |||||||||
Artificial Intelligence Forecasting Remote Sensing | — | 3621 | Hafssa Naciri; Nizar Ben Achhab; Fatima Ezahrae Ezzaher; Naoufal Raissouni | 2024-01-22T13:46:56.727690+00:00 | 2023-10-24T13:34:55.559166+00:00 | (10) |
0.3 | — | |
This plugin allows time series forecasting using deep learning models. | |||||||||
Google Earth Engine | — | 603722 | 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 | |||||||||
Geosud Toa Reflectance | — | 13119 | Kenji Ose - Irstea | 2015-05-19T10:56:26.121236+00:00 | 2014-03-12T10:48:01.398069+00:00 | (17) |
1.0 | 0.2 | |
TOA reflectance conversion for Satellite data | |||||||||
Semi-Automatic Classification Plugin | 1807253 | Luca Congedo | 2024-01-27T11:06:03.106174+00:00 | 2013-02-14T17:42:29.520135+00:00 | (603) |
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. | |||||||||
Multitemporal Analyzer | — | 24512 | 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) | |||||||||
agknow for QGIS | — | 27479 | 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> | |||||||||
Deep Learning Datasets Maker | — | 3161 | 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 | |||||||||
EO Time Series Viewer | — | 25560 | 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. | |||||||||
SentinelHub | — | 127145 | 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. | |||||||||
Terminus | — | 3570 | 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 | |||||||||
PyGeoRS | — | 889 | 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. |
Deprecated plugins are printed in red.