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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Digital Number 2 NBR | — | 12200 | 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 | |||||||||
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Deepness: Deep Neural Remote Sensing | — | 16665 | PUT Vision | 2024-04-14T12:48:03.235279+00:00 | 2022-10-20T11:38:13.982136+00:00 | (76) |
0.6.3 | 0.3.0 |
| Inference of deep neural network models (ONNX) for segmentation, detection and regression | |||||||||
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Deep Learning Datasets Maker | — | 3225 | 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 | |||||||||
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Data Augmentation | — | 916 | 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. | |||||||||
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Cloud Masking | — | 57706 | Xavier Corredor Llano, SMByC | 2023-03-31T01:21:41.494358+00:00 | 2016-12-02T17:41:33.477915+00:00 | (37) |
23.3.30 | — |
| CloudMasking is a Qgis plugin for make the masking of clouds, cloud shadow, cirrus, aerosols, ice/snow and water for Landsat (4, 5, 7, 8, 9) products using different process and filters such as Fmask, Blue Band, Cloud QA, Aerosol and Pixel QA. | |||||||||
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CBERS4A Downloader | — | 27937 | 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 | |||||||||
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buildSeg | — | 5524 | deepbands (Yizhou Chen and Youssef Harby) | 2022-06-05T07:14:59.472605+00:00 | 2021-12-14T13:24:49.738082+00:00 | (6) |
0.3 | 0.1 |
| Deep learning building segmentation. | |||||||||
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Breeder Map | — | 4500 | 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 | |||||||||
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BoundaryDelineation | — | 23582 | Sophie Crommelink, Ivan Ivanov | 2020-01-16T13:48:47.087613+00:00 | 2017-05-12T10:12:35.215170+00:00 | (20) |
13.0 | 6.0 |
| This plugin simplifies manual digitization from remote sensing imagery. | |||||||||
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Artificial Intelligence Forecasting Remote Sensing | — | 3895 | 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 | (11) |
0.3 | — |
| This plugin allows time series forecasting using deep learning models. | |||||||||
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agknow for QGIS | — | 27699 | geo|cledian.com | 2022-10-12T08:59:16.143805+00:00 | 2018-12-11T19:27:29.218272+00:00 | (16) |
0.7.5 | — |
| Plugin for using the ag|knowledge REST API from <a href="https://geocledian.com">geo|cledian</a> | |||||||||
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Accuracy Assessment | — | 93241 | 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. | |||||||||
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AcATaMa | — | 124435 | 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. | |||||||||
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