The research activity of the present project aims to exploit the information obtained from time series of multi-source remote sensing data acquired from satellite for the definition of new products (indicators) and data analysis techniques based on artificial intelligence for the extraction of essential variables for monitoring Biodiversity (EBVs) and Ecosystems (EEVs), which make it possible to move from Earth Observation (EO) data to knowledge through value-added services. In particular, data acquired by Sentinel-2, Landsat and PRISMA sensors will be used. Furthermore, the implementation, on a regional scale, of some sub-indicators linked to the Sustainable Development Goal, SDG 15 (Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss), through the use of the essential variables mentioned above.