Semi-Automatic Classification Plugin
Creators
Description
The Semi-Automatic Classification Plugin (SCP) is a free open source plugin for QGIS that allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images.
The overall objective of SCP is to provide a set of intertwined tools for raster processing in order to make an automatic workflow and ease the land cover classification, which could be performed also by people whose main field is not remote sensing.
Search and download is available for ASTER, GOES, Landsat, MODIS, Sentinel-1, Sentinel-2, and Sentinel-3 images. Several algorithms are available for the land cover classification.
Website https://fromgistors.blogspot.com/p/semi-automatic-classification-plugin.html
Documentation https://semiautomaticclassificationmanual.readthedocs.io/en/latest/
Files
semiautomaticgit/SemiAutomaticClassificationPlugin-v7.9.zip
Files
(1.8 MB)
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md5:ef4e92885b1e78d2c5778a26efe95fda
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1.8 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/semiautomaticgit/SemiAutomaticClassificationPlugin/tree/v7.9 (URL)
References
- Congedo, Luca, (2021). Semi-Automatic Classification Plugin: A Python tool for the download and processing of remote sensing images in QGIS. Journal of Open Source Software, 6(64), 3172, https://doi.org/10.21105/joss.03172