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The Semi-Automatic OS is a lightweight OS designed for the land cover classification of remote sensing images.
It includes the Semi-Automatic Classification Plugin for QGIS 2.4, already configured along with all the required dependencies (OGR, GDAL, Numpy, SciPy, and Matplotlib).
The Semi-Automatic Classification Plugin is a free plugin that allows for the semi-automatic supervised classification of remote sensing images, providing tools to expedite the creation of ROIs and the classification process.
The Semi-Automatic OS is based on Debian 7 32-bit, and it is designed to require very little hardware resources. It uses LXDE and Openbox as main desktop environment.
At the moment, the Semi-Automatic OS is available as a virtual machine. It includes a sample Landsat 8 dataset available from the U.S. Geological Survey.
Before version 3, the Semi-Automatic OS was based on Ubuntu.
