Project

Use high resolution remote sensing data and machine learning to develop Adaptation and Resilience to Climate Extremes and Multi-hazard Events

This project aims to create an holistic datacube with latent space variables based on Sentinel-2 spectral indices

Biodiversity effects on Plant-Atmosphere interactions analysed with Remote Sensing (PARSe Biodiversity)

Develop and test novel artificial intelligence explanatory tools to decipher compound events (e.g., drought and heatwave) based on “mini-cubes” with high spatial resolution.