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.
Building Capacity for Climate Research: Remote Sensing Training with West African PhD Students
For two weeks, our NetCDA Team, this time formed by our colleagues Lilly Schell and Michael Thiel, is back at the Kwame Nkrumah University of Science and Technology (KNUST) as part of the WASCAL Graduate School on Climate Change and Land Use, supporting PhD candidates in developing their own skills on remote sensing analyses related […]
