
Our focus is on developing and applying remote sensing methods to better understand global change related to land systems. We map land cover and land use and related spatio-temporal change patterns. Applications extend from agriculture (both cropland and grassland), over forest ecosystems to urban areas. The analysis of long and dense time series from Landsat and Sentinel data is core for our research - from landscape to continental scales. Hyperspectral image analysis is a second cornerstone of the Geomatics Lab.