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.
Welcome to guest scientist Valentin Ouedraogo from the WASCAL doctoral studies programme
A warm welcome at the Department of Remote Sensing to guest scientist Valentin Ouedraogo from the WASCAL Doctoral Studies Programme. Valentin is working on his doctoral theses in the field of Climate Change and Human Habitat at the Federal University of Minna Nigeria...
