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From sample to pixel: multi‐scale remote sensing data for upscaling aboveground carbon data in heterogeneous landscapes
In times of rapid global change, ecosystem monitoring is of utmost importance. Combined field and remote sensing data enable …
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Measuring beta-diversity by remote sensing: a challenge for biodiversity monitoring
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Understanding and assessing vegetation health by in situ species and remote‐sensing approaches
Human activities exert stress on and create disturbances to ecosystems, decreasing their diversity, resilience and ultimately the …
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Mapping the timing of cropland abandonment and recultivation in northern Kazakhstan using annual Landsat time series
Much of the world's temperate grasslands have been converted to croplands, yet these trends can reverse in some regions. This is the …
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Imaging Spectroscopy of Urban Environments
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Modeling and mapping the burden of disease in Kenya
Precision public health approaches are crucial for targeting health policies to regions most affected by disease. We present the first …
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Mapping patterns of urban development in Ouagadougou, Burkina Faso, using machine learning regression modeling with bi-seasonal Landsat time series
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Landsat phenological metrics and their relation to aboveground carbon in the Brazilian Savanna
BACKGROUND: The quantification and spatially explicit mapping of carbon stocks in terrestrial ecosystems is important to better …
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Global-scale patterns and determinants of cropping frequency in irrigation dam command areas
A growing human population and shifting consumption patterns increase the pressure on agricultural production systems. Reservoir-based …
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Mapping fractional woody cover in semi-arid savannahs using multi-seasonal composites from Landsat data
Increasing attention is being directed at mapping the fractional woody cover of savannahs using Earth-observation data. In this study, …
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