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.
UAV LiDAR campaign by EORC & UNIS in the remote valleys of Reindalen & Semmeldalen
The Arctic Tundra on Svalbard is a fascinating ecosystem: The soil is covered by a large variety of plants during the summer, fueled by the light of the never-setting sun, painting Svalbard‘s valleys and slopes green. Then, with the arrival of the Arctic winter, snow...








