Sebastian van der Linden

Latest

• Revisiting the past: Replicability of a historic long-term vegetation dynamics assessment in the era of big data analytics
• Multi-season unmixing of vegetation class fractions across diverse Californian ecoregions using simulated spaceborne imaging spectroscopy data.
• Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates
• High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany
• National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series
• Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data
• Visualizing and labeling dense multi-sensor earth observation time series: The EO Time Series Viewer