Articles | Volume 16, issue 7
https://doi.org/10.5194/essd-16-3453-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-3453-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Annual time-series 1 km maps of crop area and types in the conterminous US (CropAT-US): cropping diversity changes during 1850–2021
Shuchao Ye
Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa 5011, USA
Peiyu Cao
Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa 5011, USA
Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa 5011, USA
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Cited
18 citations as recorded by crossref.
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- Monitoring and Mapping a Decade of Regenerative Agricultural Practices Across the Contiguous United States M. Jones et al. https://doi.org/10.3390/land13122246
- Spatiotemporal Evolution and Driving Factors of Winter Wheat Cultivation in the Huang-Huai-Hai Plain, China Q. Chen et al. https://doi.org/10.1007/s12524-025-02357-y
- A sub-seasonal to seasonal climate forecast informed irrigation scheduling tool for the Contiguous United States H. Shi et al. https://doi.org/10.1016/j.envsoft.2025.106819
- AHAD: African major crops harvested area dataset for the years of 2000, 2010, and 2020 W. Zhang et al. https://doi.org/10.1038/s41597-025-05977-8
- Cropland use intensity, stability, and crop transition dynamics in the Songhua River Basin (2000–2024): Implications for sustainable land use and food security L. Gan et al. https://doi.org/10.1016/j.agsy.2026.104652
- Crop spatial concentration enhances water productivity while threatening regional agricultural water sustainability H. Huang et al. https://doi.org/10.1016/j.jhydrol.2026.135693
- Progress and Perspectives of Crop Type Mapping With Remote Sensing: A review J. Huang et al. https://doi.org/10.1109/MGRS.2025.3648119
- Development of historical maps of land use-land cover, crop type, nutrients, and irrigation across CONUS (1938–2020) at different spatial resolutions E. Booth & C. Kucharik https://doi.org/10.5194/essd-18-3415-2026
- Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution K. Dai et al. https://doi.org/10.1038/s41597-025-05723-0
- Predicting Weather Station-Scale GPP and ET with Deep Learning for Climate-Resilient Corn Production in the U.S. S. Wang et al. https://doi.org/10.3390/agriculture16101068
- Productivity dynamics of agroecosystems under prevailing and alternative management practices across the United States O. Obisesan et al. https://doi.org/10.1016/j.agrformet.2026.111248
- The spatiotemporal patterns and dynamics of grassland established in the US conservation reserve program (CRP) S. Ye & C. Lu https://doi.org/10.1016/j.landurbplan.2025.105488
- Quantifying the Impacts of Grain Plantation Decline on Domestic Grain Supply in China During the Past Two Decades Y. Liu et al. https://doi.org/10.3390/land14061283
- HIStory of LAND transformation by humans in South America (HISLAND-SA): annual and 1 km gridded data for soybean, maize, wheat, and rice (1950–2020) B. Xu et al. https://doi.org/10.5194/essd-17-6353-2025
- CropSight-US: an object-based crop type ground truth dataset using street view and Sentinel-2 satellite imagery across the contiguous United States, 2013–2023 Z. Zhou et al. https://doi.org/10.5194/essd-18-3069-2026
- Sustainable regional corn yield prediction for the United States through interpretable machine learning approach T. Kehkashan et al. https://doi.org/10.1038/s41598-026-43213-4
- An efficient and transferable remote sensing spectral index for regional corn mapping M. Han & J. Chai https://doi.org/10.1016/j.srs.2025.100308
18 citations as recorded by crossref.
- Crop-specific management history of phosphorus fertilizer input (CMH-P) in the croplands of the United States: reconciliation of top-down and bottom-up data sources P. Cao et al. https://doi.org/10.5194/essd-16-4557-2024
- Monitoring and Mapping a Decade of Regenerative Agricultural Practices Across the Contiguous United States M. Jones et al. https://doi.org/10.3390/land13122246
- Spatiotemporal Evolution and Driving Factors of Winter Wheat Cultivation in the Huang-Huai-Hai Plain, China Q. Chen et al. https://doi.org/10.1007/s12524-025-02357-y
- A sub-seasonal to seasonal climate forecast informed irrigation scheduling tool for the Contiguous United States H. Shi et al. https://doi.org/10.1016/j.envsoft.2025.106819
- AHAD: African major crops harvested area dataset for the years of 2000, 2010, and 2020 W. Zhang et al. https://doi.org/10.1038/s41597-025-05977-8
- Cropland use intensity, stability, and crop transition dynamics in the Songhua River Basin (2000–2024): Implications for sustainable land use and food security L. Gan et al. https://doi.org/10.1016/j.agsy.2026.104652
- Crop spatial concentration enhances water productivity while threatening regional agricultural water sustainability H. Huang et al. https://doi.org/10.1016/j.jhydrol.2026.135693
- Progress and Perspectives of Crop Type Mapping With Remote Sensing: A review J. Huang et al. https://doi.org/10.1109/MGRS.2025.3648119
- Development of historical maps of land use-land cover, crop type, nutrients, and irrigation across CONUS (1938–2020) at different spatial resolutions E. Booth & C. Kucharik https://doi.org/10.5194/essd-18-3415-2026
- Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution K. Dai et al. https://doi.org/10.1038/s41597-025-05723-0
- Predicting Weather Station-Scale GPP and ET with Deep Learning for Climate-Resilient Corn Production in the U.S. S. Wang et al. https://doi.org/10.3390/agriculture16101068
- Productivity dynamics of agroecosystems under prevailing and alternative management practices across the United States O. Obisesan et al. https://doi.org/10.1016/j.agrformet.2026.111248
- The spatiotemporal patterns and dynamics of grassland established in the US conservation reserve program (CRP) S. Ye & C. Lu https://doi.org/10.1016/j.landurbplan.2025.105488
- Quantifying the Impacts of Grain Plantation Decline on Domestic Grain Supply in China During the Past Two Decades Y. Liu et al. https://doi.org/10.3390/land14061283
- HIStory of LAND transformation by humans in South America (HISLAND-SA): annual and 1 km gridded data for soybean, maize, wheat, and rice (1950–2020) B. Xu et al. https://doi.org/10.5194/essd-17-6353-2025
- CropSight-US: an object-based crop type ground truth dataset using street view and Sentinel-2 satellite imagery across the contiguous United States, 2013–2023 Z. Zhou et al. https://doi.org/10.5194/essd-18-3069-2026
- Sustainable regional corn yield prediction for the United States through interpretable machine learning approach T. Kehkashan et al. https://doi.org/10.1038/s41598-026-43213-4
- An efficient and transferable remote sensing spectral index for regional corn mapping M. Han & J. Chai https://doi.org/10.1016/j.srs.2025.100308
Saved (final revised paper)
Latest update: 08 Jul 2026
Short summary
We reconstructed annual cropland density and crop type maps, including nine major crop types (corn, soybean, winter wheat, spring wheat, durum wheat, cotton, sorghum, barley, and rice), from 1850 to 2021 at 1 km × 1 km resolution. We found that the US total crop acreage has increased by 118 × 106 ha (118 Mha), mainly driven by corn (30 Mha) and soybean (35 Mha). Additionally, the US cropping diversity experienced an increase in the 1850s–1960s, followed by a decline over the past 6 decades.
We reconstructed annual cropland density and crop type maps, including nine major crop types...
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