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.
From Abandonment to Opportunity: Alexander V. Prishchepov Discusses Global Land Abandonment at the EORC
What are the main drivers and global patterns of farmland abandonment? How can remote sensing help address the challenges of studying farmland abandonment? In what ways might abandoned farmland contribute to biodiversity conservation and carbon reduction? These...







