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.
Press Release by University of Würzburg about our Arctic research
Our work in the Arctic on Svalbard was covered by the press team of the University of Würzburg. It covers our focus on studying the region’s ecosystems and the effects of climate change on its environment using Earth Observation methods. Please see the german version...