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.
KI4Stereo – Hybrid kick-off meeting at DLR
KI4Stereo – Hybrid kick-off meeting at DLR: AI-based analysis of stereo image data for tree monitoringOn January 23rd, 2026, a hybrid kick-off meeting was held at DLR to officially launch the research project KI4Stereo (funded under the KMU-innovativ programme,...
