Publications

The EnMAP spaceborne imaging spectroscopy mission: Initial scientific results two years after launch
Multidecadal grassland fractional cover time series retrieval for Germany from the Landsat and Sentinel-2 archives
Land cover fraction mapping across global biomes with Landsat data, spatially generalized regression models and spectral-temporal metrics
A hybrid data-driven approach to analyze the drivers of lake level dynamics
EnMAP-Box: Imaging spectroscopy in QGIS
Use of Image Endmember Libraries for Multi-Sensor, Multi-Scale, and Multi-Site Mapping of Urban Areas
National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series
Multi-season unmixing of vegetation class fractions across diverse Californian ecoregions using simulated spaceborne imaging spectroscopy data
Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping
Disentangling fractional vegetation cover: Regression-based unmixing of simulated spaceborne imaging spectroscopy data
Brightness gradient-corrected hyperspectral image mosaics for fractional vegetation cover mapping in northern California
A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data
Mapping patterns of urban development in Ouagadougou, Burkina Faso, using machine learning regression modeling with bi-seasonal Landsat time series
Imaging Spectroscopy of Urban Environments
Generalizing machine learning regression models using multi-site spectral libraries for mapping vegetation-impervious-soil fractions across multiple cities
Characterizing 32 years of shrub cover dynamics in southern Portugal using annual Landsat composites and machine learning regression modeling
6.07 - Remote Sensing of Urban Environments A2 - Liang, Shunlin
Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression
Influence of neighbourhood information on ‘Local Climate Zone’ mapping in heterogeneous cities
A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover
Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data
The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing
Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP
A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover
Support vector regression and synthetically mixed training data for quantifying urban land cover
Import Vector Machines for Quantitative Analysis of Hyperspectral Data
Sensing of photosynthetic activity of crops
CEFLES2: The remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the oxygen absorption bands