Basic Land Cover Classification Using the Semi-Automatic Classification Plugin

This is the first tutorial of the new Semi-Automatic Classification Plugin version 8.
This tutorial describes the essential steps for the classification of a multispectral image (i.e., a modified Copernicus Sentinel-2 image): 
  1. Define the Band set and create the Training Input File
  2. Create the ROIs
  3. Create a Classification Preview
  4. Create the Classification Output

Following the video of this tutorial.


The detailed steps of this tutorial are described in the user manual, at the following link

I am going to write other tutorials to describe the available classification algorithms, and the other tools of the Semi-Automatic Classification Plugin.

For any comment or question, join the Facebook group or GitHub discussions about the Semi-Automatic Classification Plugin.

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