Articles | Volume 18, issue 5
https://doi.org/10.5194/essd-18-3069-2026
https://doi.org/10.5194/essd-18-3069-2026
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

Data sets

CROPSIGHT-US: An Object-Based Crop Type Ground Truth Dataset Using Street View and Sentinel-2 Satellite Imagery across the Contiguous United States (version 1.0.1) Zhijie Zhou et al. https://doi.org/10.5281/zenodo.15702414

Download
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.
Share
Altmetrics
Final-revised paper
Preprint