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 Staff and EAGLE Students at ESA Living Planet Symposium 2025
This week, our EORC team and EAGLE MSc students are joining the global Earth observation community at the ESA Living Planet Symposium (LPS) 2025 — one of the most important gatherings for Earth system scientists, remote sensing experts, and space agencies worldwide....