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.
Contribution at SilviLaser Conference in Quebec
At SilviLaser 2025 in Québec City, PhD candidate Julia Rieder (EORC, University of Würzburg and staff member of EO4CAM) presented her work on "European Beech under Drought: Effects of Topography, Competition and Soil Water Availability." Her study uses LiDAR to reveal...