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.
UAS-Based Remote Sensing for Ecology: Insights from the Betafor Project Meeting
At the recent Betafor project meeting, our Earth observation research team presented our ongoing work with unmanned aerial systems (UAS) and their potential for advancing ecological research. We focused on how multi-sensor, multi-scale, and multi-temporal UAS-based...