As the world is facing a large increase in population, reliable information on urban areas is required to assist and help in the decision-making process. Different methods can be used to gather this information but satellite Earth observation offers a suitable approach based on the coverage and type of data that are provided.
During this webinar, we will employ RUS to map built-up areas in the surroundings of Bochum, Germany, using a supervised classification (Random Forest algorithm) and coherence derived from Sentinel-1 SLC data. We will show you how to access the RUS Service and how to download, process, analyze and visualize the free data acquired by the Copernicus satellites.
You can also retrieve the corresponding training support in the Learn by yourself section of the RUS portal.