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.
Building Capacity for Climate Research: Remote Sensing Training with West African PhD Students
For two weeks, our NetCDA Team, this time formed by our colleagues Lilly Schell and Michael Thiel, is back at the Kwame Nkrumah University of Science and Technology (KNUST) as part of the WASCAL Graduate School on Climate Change and Land Use, supporting PhD candidates in developing their own skills on remote sensing analyses related […]
