We develop expert systems for mapping earth materials with high spectral resolution remote sensing. These processing chains provide mineralogical, chemical and physical material parameters and are validated by traditional laboratory methods. Applications are regional geological mapping as well as proximal sensing of rock faces, drill cores and rock samples.
We focus on remote sensing - from drill core to space - of geothermal systems, to develop exploration techniques in the context of energy transition. Through long-term monitoring of geothermal fields we try to understand the natural effects of environmental changes and the anthropogenic effects of exploitation on the ‘motor of geothermal systems’.
We develop remote sensing-based methods for the detection of structural and functional damage, and for post-disaster recovery assessment. Our work involves 3D scene reconstruction from multi-perspective UAV data and the use of machine learning, but also the integration with satellite image data and other sources, and a coupling to macro-economic modelling for recovery scenario development.
Subsurface processes and their surface manifestations
We aim to obtain a better understanding of the geodynamics of the earth and its action on the earth surface. We integrate satellite-based and traditional geophysics for 3D/4D modelling of the composition and state of the crust and lithosphere, and of related dynamic processes. Physics-based ground-motion analysis and simulation are used to link subsurface processes to landslides and other surface manifestations.