The RS&AS team teaches and conducts research in the field of extracting semantic information about the Earth's surface and objects from sensor data, particularly from active sensor technologies such as RADAR and LiDAR.

Photogrammetry captures both the spatial dimension (geometry) and the meaning (semantics) of objects without contact using images.

The Environmental and Geoinformatics Working Group develops innovative geoinformation methods and their practical applications. It combines remote sensing, geoinformatics, and machine learning to solve real-world challenges in the areas of environment, infrastructure, and risk prevention, working closely with government agencies, municipalities, and infrastructure companies.