S
ophia Wiesböck will do her BSc thesis on the importance of fCover and Lidar data to explain home range sizes of red deer in the Nationalpark Bavarian Forest. Sophia will compute fCover on different spatial resolutions using different data sets and make it comparable with Lidar data. This will allow us to analyse the explanatory power of these data sets for home ranges of different red deer individuals in the Nationalpark. This thesis is supervised by Benjamin Leutner, Mirjana Bevanda and Martin Wegmann in close cooperation with the science department of the Nationalpark, Jörg Müller.
Visit at the Institute for Geoinformatics (IFGI) at University of Münster
Two days ago, our PostDoc Dr. Jakob Schwalb-Willmann visited the Institute for Geoinformatics at University of Münster to give a talk at IFGI’s GI Forum titled “Can animals be used to classify land use? Employing movement-tracked animals as environmental informants using deep learning”.






