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.
EORC researchers teaching drone remote sensing at UNIS, Svalbard
During their current visit to Svalbard, EORC researchers have been teaching UNIS students from all over Europe on how drones can be used for remote sensing in the high Arctic. Invited by our UNIS collaborators Prof. Dr. Simone Lang (UNIS) and Prof. Dr. Eero Rinne...








