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.
EOCap4Africa Training in Kinshasa
This week, 14 students are attending a test run of our Remote Sensing module on Remote Sensing for Biodiversity Conservation at the University of Kinshasa. This module is part of the EOCap4Africa project (funded by the Federal Agency for Nature Conservation, lead Dr....
