Climate change is rapidly altering mountain environments, increasing the need for reliable tools for the prediction, monitoring, and early warning of alpine mass movements. In this project we integrate satellite-based InSAR data and optical images to monitor slope instabilities, evaluate how meteorological conditions drive slope deformation, and to assess how these driving factors are expected to change under future climate scenarios. Complementing the coarse temporal resolution of the satellite data, we also leverage seismic and infrasound measurements to characterize the subsurface processes driving the instability at Spitzer Stein (BE), catalogue the mass movements at this key location, and train an intelligent detector to identify them in real time. Leveraging the seismic data, as well as automatic avalanche detection systems, this project further exploits recent advances in machine learning to improve the spatio-temporal resolution of avalanche forecasting in Switzerland and assess changes in avalanche hazard due to climate change.
2021 - 2024