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Enhanced biomass prediction by assimilating satellite data into a crop growth model
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Trade‐offs between biodiversity and agriculture are moving targets in dynamic landscapes
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Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science
AbstractFree and open access to the more than 40 years of data captured in the Landsat archive, combined with improvements in …
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The potential of Russia to increase its wheat production through cropland expansion and intensification
Russia is a major player in the global wheat market, but extensive unused land resources and large yield gaps suggest that wheat …
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Exploring the effects of drastic institutional and socio-economic changes on land system dynamics in Germany between 1883 and 2007
Long-term studies of land system change can help providing insights into the relative importance of underlying drivers of change. Here, …
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Regime shifts limit the predictability of land-system change
Payment schemes for ecosystem services such as Reducing Emissions from Deforestation and forest Degradation (REDD) rely on the …
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Quantifying yield gaps in wheat production in Russia
Crop yields must increase substantially to meet the increasing demands for agricultural products. Crop yield increases are particularly …
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Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites
Detailed knowledge of forest cover dynamics is crucial for many applications from resource management to ecosystem service assessments. …
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Mapping Annual Land Use and Land Cover Changes Using MODIS Time Series
Mapping land use and land cover change (LULCC) over large areas at regular time intervals is a key requisite to improve our …
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Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees
The transmission of dengue disease is influenced by complex interactions among vector, host and virus. Land use such as water bodies or …
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