Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 5
Articles | Volume 18, issue 5
https://doi.org/10.5194/essd-18-3069-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-3069-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 5
Data description article
 | 
08 May 2026
Data description article |  | 08 May 2026

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

Zhijie Zhou, Yin Liu, and Chunyuan Diao

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Latest update: 16 Jun 2026
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Short summary
We developed an object-based crop type ground truth dataset CropSight-US across the Contiguous United States for 2013–2023. Using satellite and street view imagery, we created an operational way to identify crop types and field boundaries without in-person surveys. This novel dataset provides reliable crop type ground truth with delineated field boundaries that can support large-scale crop monitoring and decision-making. The dataset can be accessed via: https://doi.org/10.5281/zenodo.15702414.
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