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.
“MainPro” working meeting on municipalities dealing with flooding and heavy rainfall
How do the municipalities in the Lower Franconian Main valley deal with flooding and heavy rainfall? This question was the focus of a working meeting of the Remote Sensing and Social Geography working groups on July 15, 2026, for the "MainPro" research project...








