Datasets:
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README.md
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@@ -33,6 +33,7 @@ Adrian Höhl, Stella Ofori-Ampofo, Miguel-Ángel Fernández-Torres, Rıdvan Sali
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The database includes 15,500 small data cubes (i.e., minicubes), each with a spatial coverage of 12x12km, spanning 1527 counties in the US. The minicubes comprise data from multiple sensors (Sentinel-1/2, Landsat-8, MODIS), weather and extreme events (Daymet, heat/cold waves, and U.S. drought monitor maps), as well as soil and terrain features, making it suitable for various agricultural monitoring tasks. It integrates crop- and climate-related tasks within a single, cohesive dataset.
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In detail, the following data sources are provided:
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## Uses
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The dataset allows various tasks, including yield prediction, phenology mapping, crop condition forecasting, extreme weather event detection/prediction, sensor fusion, pretraining on crop areas, and multi-task learning.
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The database includes 15,500 small data cubes (i.e., minicubes), each with a spatial coverage of 12x12km, spanning 1527 counties in the US. The minicubes comprise data from multiple sensors (Sentinel-1/2, Landsat-8, MODIS), weather and extreme events (Daymet, heat/cold waves, and U.S. drought monitor maps), as well as soil and terrain features, making it suitable for various agricultural monitoring tasks. It integrates crop- and climate-related tasks within a single, cohesive dataset.
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In detail, the following data sources are provided:
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†The drought indices have been added to the original dataset from a master's thesis. Additional information can be found in the repository.
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## Uses
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The dataset allows various tasks, including yield prediction, phenology mapping, crop condition forecasting, extreme weather event detection/prediction, sensor fusion, pretraining on crop areas, and multi-task learning.
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