Sebastian Van Der Linden

Latest

• Characterizing 32 Years of Shrub Cover Dynamics in Southern Portugal Using Annual Landsat Composites and Machine Learning Regression Modeling
• From Sample to Pixel: Multi-scale Remote Sensing Data for Upscaling Aboveground Carbon Data in Heterogeneous Landscapes
• Optical Trait Indicators for Remote Sensing of Plant Species Composition: Predictive Power and Seasonal Variability
• The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing
• Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data
• Mapping Beta Diversity from Space: Sparse Generalised Dissimilarity Modelling (SGDM) for Analysing High-dimensional Data
• The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation
• Mapping Land Cover in Complex Mediterranean Landscapes Using Landsat: Improved Classification Accuracies from Integrating Multi-Seasonal and Synthetic Imagery
• Import Vector Machines for Quantitative Analysis of Hyperspectral Data