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.
New publication: Mapping animal paths using drones and deep learning
We're pleased to share our latest open-access research on automatically detecting animal paths in Africa's Kruger National Park using drone imagery and deep learning. Published in Ecological Informatics, our study demonstrates how deep learning can be employed to...
