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.
Science Slam in Rosenheim: Hannes Taubenböck wins again
After the completely surprising win of the Science Slam in Würzburg in November 2024 (we reported about it: https://remote-sensing.org/hannes-taubenbock-represents-eorc-at-the-science-slam-and-wins/), Hannes Taubenböck was invited to the Science Slam in Rosenheim. The...