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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Estonian Oblique Aerial Photographs | — | 167 | 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 | |||||||||
Pixel Purity Index | — | 416 | 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 | |||||||||
pqkmeans-clustering | — | 166 | 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. | |||||||||
Whitebox Workflows for QGIS | — | 5263 | John Lindsay, Whitebox Geospatial Inc. | 2024-04-07T19:38:31.674143+00:00 | 2024-01-16T18:54:37.343683+00:00 | (98) |
1.2.4 | — | |
Provides access to Whitebox Workflows within QGIS | |||||||||
PyGeoRS | — | 818 | 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. | |||||||||
Artificial Intelligence Forecasting Remote Sensing | — | 3381 | 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. | |||||||||
RST | — | 1736 | 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 | — | 6110 | 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> | |||||||||
Geo-Zone Check Germany | — | 365 | 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 | |||||||||
Deepness: Deep Neural Remote Sensing | — | 14969 | 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 | |||||||||
SEBCS for QGIS | — | 1193 | Jakub Brom, University of South Bohemia in Ceske Budejovice, Faculty of Agriculture and Technology | 2022-05-16T09:48:59.434712+00:00 | 2022-05-16T09:48:58.845314+00:00 | (0) |
2.1.2 | — | |
Module for calculation of energy balance features and vegetation water stress indices | |||||||||
buildSeg | — | 5335 | deepbands (Yizhou Chen and Youssef Harby) | 2022-06-05T07:14:59.472605+00:00 | 2021-12-14T13:24:49.738082+00:00 | (5) |
0.3 | 0.1 | |
Deep learning building segmentation. | |||||||||
Deep Learning Datasets Maker | — | 3111 | deepbands (Youssef Harby and Yizhou Chen) | 2022-01-19T02:15:29.531264+00:00 | 2021-12-11T04:40:00.358152+00:00 | (5) |
— | 0.2.1 | |
tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets | |||||||||
Mapflow | — | 87099 | Geoalert | 2024-04-09T06:44:21.877297+00:00 | 2021-07-09T15:15:42.595345+00:00 | (79) |
2.6.0 | — | |
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. | |||||||||
Data Augmentation | — | 879 | Gabriel K. Alves, Sabrina G. Marques, Igor Kolesnikov, Rafael Marinho | 2021-06-13T21:30:51.705932+00:00 | 2021-06-08T00:12:57.907629+00:00 | (0) |
— | 1.1 | |
This plugin generate basic data augmentation. | |||||||||
Open Aerial Map (OAM) for QGIS3, Express Edition | — | 4043 | 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 | |||||||||
GEE Timeseries Explorer | — | 28457 | Andreas Rabe, Philippe Rufin | 2022-05-30T12:07:28.572516+00:00 | 2021-03-12T17:03:00.288061+00:00 | (9) |
2.0 | — | |
A QGIS plugin for interactive exploration of temporal raster data available in Google Earth Engine (GEE). | |||||||||
EOF-based Time Series Reconstructor | — | 2459 | 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 | — | 27132 | 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 | |||||||||
Terminus | — | 3521 | 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 |
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