Remote Sensing

Climate-Mediated Spatiotemporal Variability in Terrestrial Productivity across Europe
Abstract. Quantifying the interannual variability (IAV) of the terrestrial ecosystem productivity and its sensitivity to climate is …
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Extreme Events in Gross Primary Production: A Characterization across Continents
Abstract. Climate extremes can affect the functioning of terrestrial ecosystems, for instance via a reduction of the photosynthetic …
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An Extended Approach for Spatiotemporal Gapfilling: Dealing with Large and Systematic Gaps in Geoscientific Datasets
Abstract. Spatiotemporal observations in Earth System sciences are often affected by numerous and/or systematically distributed gaps. …
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An Improved Landsat Image Mosaic of Antarctica
A revised Landsat Image Mosaic of Antarctica (LIMA) is presented, using the 1073 multi-band scenes of the original Land-sat-7 ETM+ LIMA …
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Uncertainty in Ecosystem Mapping by Remote Sensing
The classification of remotely sensed images such as aerial photographs or satellite sensor images for deriving ecosystem-related maps …
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Modeling Species Distribution Using Niche-Based Proxies Derived from Composite Bioclimatic Variables and MODIS NDVI
Vegetation mapping based on niche theory has proven useful in understanding the rules governing species assembly at various spatial …
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Lake Water Footprint Identification From Time-Series ICESat/GLAS Data
To provide high-quality data for time-series change detection of lake water level, an automatic and robust algorithm for lake water …
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Combining Isomap Ordination and Imaging Spectroscopy to Map Continuous Floristic Gradients in a Heterogeneous Landscape
Mapping requires a meaningful generalization of information. For vegetation maps, classification is frequently used to generalize the …
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ICESat GLAS Data for Urban Environment Monitoring
Although the Geoscience Laser Altimeter System (GLAS) onboard the NASA Ice, Cloud and Land Elevation Satellite was not designed for …
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Brightness-Normalized Partial Least Squares Regression for Hyperspectral Data
Developed in the field of chemometrics, Partial Least Squares Regression (PLSR) has become an established technique in vegetation …
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