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.
Bridging Science and Practice: EORC and DLR at the SmartForest Conference in Freising
This week, researchers from the Earth Observation Research Center (EORC) and the German Aerospace Center (DLR) participated in the SmartForest Conference in Freising to present scientific results from the projects ForstEO and ROOT. In addition, they engaged in...