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.
🌍 Earth Observation News: Wrapping Up 2025, Looking Ahead to 2026
As 2025 draws to a close and 2026 begins, our Earth Observation Research Cluser News Blog on Remote-Sensing.org offers a rich overview of a year defined by scientific diversity, collaboration, and real-world impact. From peer-reviewed publications and innovative...








