use case 1: forest clear cutting activity using Sentinel-1 data
use case 1: forest disturbance monitoring using Sentinel-1 data
use case 2: automated land cover mapping using Sentinel-2 data
use case 3: Anomaly detection in long time series of InSAR data
Use case 4: cloud detection and removal using Sentinel-2 data
use case 5: forest biomass and carbon estimation using Sentinel-1 data

About RepreSent

The main objective of the RepreSent project is to capitalize on the potential of artificial intelligence (AI) and Earth observation (EO) by exploiting the non-supervised learning paradigms. In this context, it is essential to come up with non-supervised learning-based solutions for impactful use cases that use unlabelled EO data.

The project started on April 1st, 2022 for a period of 12months funded by ESA. The final review of the project took place successfully on May 11th, 2023.

About the extension of RepreSent for scaling-up

The project extension started on February 1st, 2024 for a period of 10 months.