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Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data
Monitoring natural ecosystems and ecosystem transitions is crucial for a better understanding of land change processes. By providing …
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Forest transitions in Eastern Europe and their effects on carbon budgets
Forests often rebound from deforestation following industrialization and urbanization, but for many regions our understanding of where …
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On the derivation of a spatially distributed aerosol climatology for its incorporation in a radiometric Landsat pre-processing framework
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The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation
Imaging spectroscopy, also known as hyperspectral remote sensing, is based on the characterization of Earth surface materials and …
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Mapping beta diversity from space: Sparse Generalised Dissimilarity Modelling (SGDM) for analysing high‐dimensional data
  • Spatial patterns of community composition turnover (beta diversity) may be mapped through generalised dissimilarity modelling (GDM). …
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Advantages using the thermal infrared (TIR) to detect and quantify semi-arid soil properties
Monitoring soil surface dynamics in semi-arid agricultural landscapes becomes increasingly important due to the vulnerability of these …
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Mapping farmland abandonment and recultivation across Europe using MODIS NDVI time series
Farmland abandonment is a widespread land-use change in temperate regions, due to increasing yields on productive lands, conservation …
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Changes in the spatial patterns of human appropriation of net primary production (HANPP) in Europe 1990–2006
Understanding patterns, dynamics, and drivers of land use is crucial for improving our ability to cope with sustainability challenges. …
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Long-term agricultural land-cover change and potential for cropland expansion in the former Virgin Lands area of Kazakhstan
During the Soviet Virgin Lands Campaign, approximately 23 million hectares (Mha) of Eurasian steppe grassland were converted into …
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Analyzing Hyperspectral and Hypertemporal Data by Decoupling Feature Redundancy and Feature Relevance
The high information redundancy in hyperspectral and hypertemporal Earth observation data can limit the performance of supervised …
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