QGIS Python Plugins Repository
Plugins tagged with: accuracy
7 records found —
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| Name | Featured ↑ | Downloads | Author | Latest Plugin Version | Created on | Stars (votes) | Stable | Exp. | |
|---|---|---|---|---|---|---|---|---|---|
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BOS | — | 3999 | Håvard Tveite, NMBU | 2020-09-05T12:23:29.768414+00:00 | 2020-01-21T15:01:13.521623+00:00 | (5) |
1.1.0 | — |
| Assess the quality (including geometric accuracy) of a line data set by comparing it to a line data set of significantly higher accuracy using the BOS method. | |||||||||
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GEOSYS Plugin | — | 36291 | GEOSYS | 2023-04-21T12:19:22.822944+00:00 | 2019-05-28T09:43:22.788705+00:00 | (6) |
1.3.0 | — |
| Discover, request and use aggregate imagery products based on landsat-8, Sentinel 2 and other sensors from within QGIS, using the GEOSYS API. | |||||||||
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AccurAssess | — | 26382 | Jaime Loya, Jean F Mas | 2015-04-14T17:57:25.553811+00:00 | 2014-06-20T21:20:11.784817+00:00 | (34) |
0.2 | 0.1 |
| Carry out the accuracy assessment of a thematic categorical map taking into account the sampling design. | |||||||||
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AcATaMa | — | 123144 | 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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Quick STEP GEOBIA | — | 4778 | Salomón Einstein, Ivan Lizarazo | 2021-04-10T22:22:55.257982+00:00 | 2021-03-07T16:00:55.839345+00:00 | (6) |
0.1.2 | — |
| Accuracy assessment of object-based image classification - GEOBIA | |||||||||
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EnMAP-Box 3 | — | 64852 | Andreas Janz, Benjamin Jakimow, Sebastian van der Linden, Fabian Thiel, Henrike Dierkes | 2024-04-16T11:50:55.810933+00:00 | 2019-03-07T11:24:07.383848+00:00 | (98) |
3.14.2 | 3.14.1 |
| Imaging Spectroscopy and Remote Sensing for QGIS | |||||||||
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Semi-Automatic Classification Plugin |  |
1793378 | Luca Congedo | 2024-01-27T11:06:03.106174+00:00 | 2013-02-14T17:42:29.520135+00:00 | (599) |
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. | |||||||||
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