Updated tutorial at https://fromgistors.blogspot.com/2016/09/semi-automatic-classification-pluginv5.html
This basic tutorial illustrates how to perform a supervised classification of land cover using the Semi-Automatic Classification Plugin (SCP) 3.0 "Rome" for QGIS.
We are going to classify a subset of Landsat 8 image acquired over Rome, Italy (data available from the U.S. Geological Survey) on June 12, 2014. Using a semi-automatic approach we are going to rapidly classify the image and estimate land cover area, in only six phases.