Classifying urban areas using Sentinel-2 data Part 1

This 3-part tutorial from EO-College’s Land In Focus course covers how to classify a dataset using the Random Forest algorithm with Sentinel-2 data in Google Earth Engine (GEE). Part 1 offers a brief introduction to the dataset used throughout the tutorial.

You can find the code used in this video by following this GEE Link: https://code.earthengine.google.com/92df7168b2e3c79f4e6c7ebc7bddddba