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Accuracy of Rapid Crop Cover Maps of Conterminous United States for 2008 - 2016

Dates

Publication Date
Start Date
2008
End Date
2016

Citation

Dahal, D., Wylie, B.K., and Howard, D., 2018, Accuracy of rapid crop cover maps of conterminous United States for 2008 - 2016: U.S. Geological Survey data release, https://doi.org/10.5066/F7B27TG8.

Summary

Spatially accurate annual crop cover maps are an important component to various planning and research applications; however, the importance of these maps varies significantly with the timing of their availability. Utilizing a previously developed crop classification model (CCM), which was used to generate historical annual crop cover maps (classifying nine major crops: corn, cotton, sorghum, soybeans, spring wheat, winter wheat, alfalfa, other hay/non alfalfa, fallow/idle cropland, and ‘other’ as one class for remaining crops), we hypothesized that such crop cover maps could be generated in near real time (NRT). The CCM was trained on 14 temporal and 15 static geospatial datasets, known as predictor variables, and the National Agricultural [...]

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Rapid_Crop_Mapping_CONUS_Accuracy_Assessment_2008-2016.xml
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Purpose

The purpose of the study was to identify the earliest possible month for producing annual crop cover maps with acceptable accuracies.

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7B27TG8

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