Basic tutorial 1: Land Cover Classification of Landsat Images

This is a basic tutorial about the use of the new Semi-Automatic Classification Plugin version 6 for QGIS 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:

1. Water;
2. Built-up;
3. Vegetation;
4. Bare soil.

The study area of this tutorial is Greenbelt (Maryland, USA) which is the site of NASA’s Goddard Space Flight Center (the institution that will lead the development of the future Landsat 9 flight segment).

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