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.
KI4Stereo – Hybrid kick-off meeting at DLR
KI4Stereo – Hybrid kick-off meeting at DLR: AI-based analysis of stereo image data for tree monitoringOn January 23rd, 2026, a hybrid kick-off meeting was held at DLR to officially launch the research project KI4Stereo (funded under the KMU-innovativ programme,...
