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.
New EO4CAM Video: Supporting Climate Adaptation with Earth Observation Data
Climate adaptation requires reliable information, long-term monitoring, and evidence-based decision-making. Our EO4CAM short video highlights how Earth Observation (EO) and satellite-based data can support public authorities and decision-makers in identifying and...








