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 Landsat, Sentinel-2 images. Several algorithms are available for the land cover classification. This plugin requires the installation of Remotior Sensus, GDAL, OGR, Numpy, SciPy, and Matplotlib. Other dependencies are optional for specific functions. For more information please visit https://fromgistors.blogspot.com .

The SCP is available for QGIS version 3.x. The SCP is developed with Python 3 and requires the installation of Remotior Sensus, GDAL (OGR), NumPy, SciPy and Matplotlib.

For the installation of QGIS and SCP on different operating systems please follow this guide.

If you are new to SCP, please follow this tutorial.

All the SCP information is available from the SCP website.

Check the user manual or the online tutorials available.

Videos are also available.

If you find some issue that you are willing to fix, code contributions are welcome. Please read the development notes before contributing.

• Luca Congedo

This plugin is distributed under a GNU General Public License version 3.

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