During this webinar you will learn how to process Sentinel2 image in order to estimate the value of forest aboveground biomass in forest area in Ethiopia.

In more details we will calculate different vegetation indices commonly used for forest biomass calculation purposes. We will combine them in order to perform different regression models using machine learning techniques: linear and nonlinear model to predict the forest aboveground biomass. As a reference values of aboveground biomass in this area, we will use dataset coming from the Global datasets of forest aboveground biomass for the years 2010, 2017 and 2018. Developed by ESA Biomass Climate Change Initiative (BCCI).

We will also show you how to access the RUS Service and how to download, process, analyze and visualize the free data acquired by the Copernicus satellites.

All processing steps as well as machine learning regression models will be performed using Python in Jupyter Notebook.