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.
Successful MSc Thesis Defense by Sharmin Mim on Ability of Random Forest Model to Predict the Mean and,Standard Deviation of Winter Wheats Biomass in Bavaria: A Case Study
Congratulations to Sharmin Mim on the successful defense of her MSc thesis, titled "Ability of Random Forest Model to Predict the Mean and Standard Deviation of Winter Wheat Biomass in Bavaria: A Case Study." Her work focused on the Rhön region, where she combined...
