Leonard Hammer handed in his B.Sc. thesis on “explaining spatial patterns of stork movements using remote sensing data”. He used stork data from the Lake Constance region and applied species distribution models on different behavioral states (nesting, feeding etc.) using Landsat TimeScan data. This data set provides temporal metrics for the last years, such as max, min and variance of the NDVI. Moreover, he tested different model performances and scaling effects and found partly that lower resolution data resulted in more sounds results. He was supervised by R. Remelgado and Dr. Martin Wegmann
Exploring the African Savanna: PhD research on Drought and Fire Impacts through Earth Observation
Our PhD student Luisa Pflumm and EAGLE MSc student Anna Bischof are currently engaged in a challenging research project funded by DFG on the African savanna, investigating the ecological impacts of drought and fire using advanced remote sensing techniques. Under the...