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Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery
Despite rapid advances and large-scale initiatives in forest mapping, reliable cross-border information about the status of forest …
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Carbon emissions from agricultural expansion and intensification in the Chaco
Carbon emissions from land-use changes in tropical dry forest systems are poorly understood, although they are likely globally …
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Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression
Hyperspectral remote sensing data offer the opportunity to map urban characteristics in detail. Though, adequate algorithms need to …
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Global Analysis of the Differences Between the MODIS Vegetation Index Compositing Date and the Actual Acquisition Date
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Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression
Generating synthetically mixed data from library spectra provides a direct means to train empirical regression models for subpixel …
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Phenology-adaptive pixel-based compositing using optical earth observation imagery
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Optical trait indicators for remote sensing of plant species composition: Predictive power and seasonal variability
Most plant species feature similar biochemical compositions and thus similar spectral signals. Still, empirical evidence suggests that …
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Nineteenth-century land-use legacies affect contemporary land abandonment in the Carpathians
Historical land use may shape landscapes for centuries into the future, but it remains unclear how much land-use legacies affect …
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sgdm: An R Package for Performing Sparse Generalized Dissimilarity Modelling with Tools for gdm
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Drivers of changes in agricultural intensity in Europe
The global demand for agricultural products will increase in the 21st century, unless major transformations in consumptive behaviour …
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