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.
New publication on mapping mountain pine dynamics and upslope shifts in the German Alps
Mapping mountain pine remains a challenge, particularly in steep Alpine terrain where Pinus mugo forms dense krummholz thickets that are difficult to separate from surrounding vegetation and hard to survey on the ground. In our new study led by Basil Tufail, we...








