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.
Succesful MSc Theseis Defense by Jean de Dieu Tuyizere
Congratulations to Jean de Dieu Tuyizere on the successful defense of his MSc thesis, entitled "Utilizing deep learning and Earth Observation data to predict land cover changes in Volcanoes National Park, Rwanda". His study analyzed and projected land cover...