Publications
Featured publications
A new multi-scale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field and landscape:
Remote sensing is an important tool for studying patterns in surface processes on different spatiotemporal scales. However, differences in the spatiospectral and temporal resolution of remote sensing data as well as sensor-specific surveying characteristics very often hinder comparative analyses and effective up- and downscaling analyses. This paper presents a new methodical framework for combining hyperspectral remote sensing data on different spatial and temporal scales using the “One Sensor at Different Scales” (OSADIS) approach for the laboratory (plot), field (local), and landscape (regional) scales: Lausch, A. et al. (2012) Environmental Monitoring and Assessment. doi:10.1007//s10661-012-2627-8
Spatial and temporal trends of global pollination benefit:
Based on global data on land use and time series for production quantities and production prices of pollination dependent crops, an global increase in pollination benefits was shown and regional hotspots of pollination benefits were identified: Lautenbach, S. et al. (2012) PlosONE e35954. doi:10.1371/journal.pone.0035954
Exploring indicators for quantifying surface urban heat islands of European cities with MODIS land surface temperatures:
This European wide analysis of urban heat island on the base of remote sensing data based on 263 cities revealed the variation of classical urban heat island indicators and identified the need to comparatively quantify several indicators of urban heat islands in parallel to foster comparability: Schwarz, N. et al. (2011) Remote Sensing of Environment, 115, 3175-3186.
Using precipitation data ensemble for uncertainty analysis in SWAT streamflow simulation:
The study shows that ensemble modeling with multiple precipitation inputs can considerably increase the level of confidence in hydrological simulation results, particularly in data-poor regions: Strauch, M., Bernhofer, C., Koide, S., Volk, M., Lorz, C., Makeschin, F. (2012) Journal of Hydrology 414-415, 413-424. doi:10.1016/j.jhydrol.2011.11.014
