Enhanced understanding of Alpine mass movements Gathered through machine LEarning (EAGLE)

We aim at harnessing recent deep learning advancements to automate the extraction of both location and activity status of mass movements from freely available, spaceborne remote sensing data. This allows to reduce human involvement and enhancing consistency in landslide identification, classification and monitoring. By combining interferometric data with optical imagery, we develop a scalable approach for continuous monitoring of slope instabilities. By automating mass movement identification with deep learning to enhance data exploitation, we strive towards advancing regional landslide insights and strengthening early warning systems.