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Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany
Monitoring agricultural systems becomes increasingly important in the context of global challenges like climate change, biodiversity …
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Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics
Open and analysis-ready data, as well as methodological and technical advancements have resulted in an unprecedented capability for …
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Resource frontiers and agglomeration economies: The varied logics of transnational land-based investing in Southern and Eastern Africa
Actor-level data on large-scale commercial agriculture in Sub-Saharan Africa are scarce. The peculiar choice of transnational investing …
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Quantifying drought effects in Central European grasslands through regression-based unmixing of intra-annual Sentinel-2 time series
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Machine learning reveals complex effects of climatic means and weather extremes on wheat yields during different plant developmental stages
Rising weather volatility poses a growing challenge to crop yields in many global breadbaskets. However, empirical evidence regarding …
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Regional matters: On the usefulness of regional land‐cover datasets in times of global change
Unprecedented amounts of analysis-ready Earth Observation (EO) data, combined with increasing computational power and new algorithms, …
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Mapping temperate forest tree species using dense Sentinel-2 time series
Precise information on tree species composition is critical for forest management and conservation, but mapping tree species with …
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Mowing event detection in permanent grasslands: Systematic evaluation of input features from Sentinel-1, Sentinel-2, and Landsat 8 time series
The intensity of land use and management in permanent grasslands affects both biodiversity and important ecosystem services. …
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Changes in the grasslands of the Caucasus based on Cumulative Endmember Fractions from the full 1987–2019 Landsat record
Grasslands are important for global biodiversity, food security, and climate change analyses, which makes mapping and monitoring of …
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The Collaborative Research Center FONDA
Today's scientific data analysis very often requires complex Data Analysis Workflows (DAWs) executed over distributed computational …
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