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.
Teaching activities in the Arctic: EORC at UNIS on Svalbard
It started a few years ago, when Mirjana Bevanda built up a collaboration with partners at UNIS, the University Centre in Svalbard. Jakob Schwalb-Willmann joined soon after, and today a growing group from EORC heads north to teach there, including Antonio...








