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.
Master Defense by Isabella Metz: ” Analysis of Uncertainties for Error Detection and Quantification of Bathymetry Data from Multispectral Sentinel-2 Imagery
On January 07, 2025, Isabella Metz will defend her master thesis on " Analysis of Uncertainties for Error Detection and Quantification of Bathymetry Data from Multispectral Sentinel-2 Imagery" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: In...