BaySenseAI
A multi-modal AI platform integrating remote sensing and field data to predict biodiversity across Bavaria at high spatial and temporal resolution. Piloted around Berchtesgaden National Park, the platform is to generate biodiversity predictions on a digital map of Bavaria at large spatial extents and high resolution. Led by Florian Hartig together with Prof. Rupert Seidl (TUM and Berchtesgaden National Park) and Prof. Cornelius Senf (TUM), funded by the Bavarian State Ministry of Science and the Arts within the Bavarian climate research network bayklif2, 2026–2030.
Research theme: Statistics & machine learning