The TUM Chair of Data Science in Earth Observation develops machine-learning and data-driven methods to extract information from large-scale satellite and remote-sensing data. Its research focuses on AI-based Earth monitoring, image analysis, environmental modeling, and geospatial big-data processing. The chair enables advanced applications in climate observation, land-use mapping, natural hazard detection, and spaceborne sensing.