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 at the Smart Forest Conference: Research meets Practive
This week, our EO4CAM staff Sonja and Julian attended the Smart Forest Conference in Freising, a meeting that brings together researchers, forestry practitioners, and technology developers working at the interface of forest science and digital innovation. Over two...








