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 paper on degrees of urbanization
New paper titled „To be, or not to be ‘urban’? A multi-modal method for the differentiated measurement of the degree of urbanization” has been published by Taubenböck & Team. Abstract: Today, 56.6% of the world's population is urban and the trend is rising; in...