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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EOF-based Time Series Reconstructor | — | 2493 | 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) | |||||||||
EO Time Series Viewer | — | 25559 | 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. | |||||||||
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 | |||||||||
Deepness: Deep Neural Remote Sensing | — | 15894 | 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 | |||||||||
Deep Learning Datasets Maker | — | 3160 | 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 | |||||||||
Data Augmentation | — | 898 | 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. | |||||||||
Cloud Masking | — | 57138 | 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. | |||||||||
CBERS4A Downloader | — | 27489 | 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 | |||||||||
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 | |||||||||
BoundaryDelineation | — | 23364 | 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. | |||||||||
Artificial Intelligence Forecasting Remote Sensing | — | 3620 | 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. | |||||||||
Accuracy Assessment | — | 93160 | 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. | |||||||||
AcATaMa | — | 123846 | 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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