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Enhancing the Detectability of Clouds and Their Shadows in Multitemporal Dryland Landsat Imagery: Extending Fmask
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Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery
Low-intensity farming systems are of great importance for biodiversity in Europe, but they are often affected by soil degradation or …
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Mining dense Landsat time series for separating cropland and pasture in a heterogeneous Brazilian savanna landscape
Better spatial information on the global distribution of croplands and pastures is urgently needed. Without reliable cropland-pasture …
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Processes Underlying 50 Years of Local Forest-Cover Change in Yunnan, China
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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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