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.
New Project: Multi-Scale Remote Sensing in DFG Project BETAFOR 2nd phase
We are pleased to share that our team is now officially part of the second phase of the DFG-funded project BetaFOR. In this context, Tobias Ullmann has joined the project as EO PI, the project consortium is led by Jörg Müller, and we will contribute our expertise in...







