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.
Celebrating Excellence: Jakob Schwalb-Willmann Receives the 2025 GGW Award for Best PhD Thesis
Every once in a while, research opens new ways of looking at the world—literally. Our postdoctoral researcher Jakob Schwalb-Willmann has been honored with the 2025 GGW Award for the Best PhD Thesis, recognizing his outstanding contribution to the field of...







