Land Cover Classification using the Semi-Automatic Classification Plugin version 7 - The Koch Family
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Land Cover Classification using the Semi-Automatic Classification Plugin version 7

This is a basic tutorial about the use of SCP for the classification of a multispectral image. It is recommended to read the Brief Introduction to Remote Sensing before this tutorial.

The purpose of the classification is to identify the following land cover classes:
  • Water;
  • Built-up;
  • Vegetation;
  • Soil.
The study area of this tutorial is Matera (Basilicata, Italy) which is a city in the Southern Italy. Matera is the site of a Center of the Italian Space Agency (ASI) specialized in remote sensing, which has several purposes, in particular to acquire, process and store remote sensing data.

Following the video of this tutorial.



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