Asja Bernd started her MSc on ” A Global Analysis of Grassland Fragmentation” supervised by Neil Burgess (UNEP) and Martin Wegmann. She will use globally available land cover data sets and compute a variety of spatial metrics to derive the fragmentation pattern of grasslands. Methods available in R and GRASS will be applied to allow a semi-automatic global analysis. Asja is a student in the Global Change Ecology MSc program and well trained in journalism as well as natural sciences.
Field work for MONID-HABITRACK project
Today our researchers from the department working on the MONID-HABITRACK project, that is funded by the BMFTR, went to the field to acquire LiDAR, thermal and multispectral data with their drones. Researcher Andrea Sofía García-de-León and work package lead Dr. Ariane...







