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.
Exploring Wetland Ecosystems in the Rhön Biosphere Reserve
As part of our ongoing collaboration with our EOCap4Africa project partners, two members of the EORC (Dr. Insa Otte, Lilly Schell) at the University of Würzburg recently took a field trip to the Rhön Biosphere Reserve with our visiting scientists. We visited two...