This is the third and last part of a blog post series about using remote sensing data to classify the earth’s surface. In this post we will finally walk through the typical steps it takes to classify remote sensing images with a supervised classifier to derive a land use/land cover map.

This is the second part of a three parts series about using remote sensing data to classify the earth’s surface. Please read the first part of the series if you are interested in an introduction to the post series and / or in the first part where we downloaded parts of Landsat scenes by leveraging the Cloud Optimized GeoTIFF format.