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.
Johannes Mast Submits PhD Thesis on Migration Research Using Remote Sensing and Social Media Data
We are proud to celebrate a major milestone of EAGLE MSc alumnus and EORC PhD student Johannes Mast, who has successfully submitted his PhD thesis titled “Geographical Migration Research Based on Remote Sensing and Social Media Data.” His work represents an exciting...








