Our article in MEE got accepted “r.pi: a GRASS GIS package for semi-automatic spatial pattern analysis of remotely sensed land cover data” by Martin Wegmann, Benjamin Leutner, Markus Metz, Markus Neteler, Stefan Dech, Stefan and Duccio Rocchini. It outlines the capabilities of the r.pi package to analyze spatial patterns derived from remote sensing land cover data to inform about landscape conditions and changes. Such fragmentation measures are relevant for ecology or conservation as well as for remote sensing to produce value-added landcover maps that provide details on the spatial structure of the landscape.
EO4CAM PhD Students Present their Research at the GeoSeries Colloquium
On July 9, 2026, Daniel Gruschwitz and Sonja Maas from the Earth Observation Research Cluster (EORC) presented their current research in EO4CAM at the GeoSeries - Research Colloquium of the Institute of Geography and Geology, University of Würzburg, chaired by Prof....








