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.
Monitoring Urban Heat with Multi-Sensor Earth Observation: The SMART-TWIN Project
Urban areas are increasingly exposed to heat stress, making climate-sensitive planning more important than ever. As part of this effort, our team has recently started a new project focused on urban heat monitoring using multi-sensor Earth Observation approaches. The...








