Articles | Volume 17, issue 12
https://doi.org/10.5194/essd-17-6703-2025
https://doi.org/10.5194/essd-17-6703-2025
Data description paper
 | 
03 Dec 2025
Data description paper |  | 03 Dec 2025

CropLayer: a 2 m resolution cropland map of China for 2020 from Mapbox and Google satellite imagery

Hao Jiang, Mengjun Ku, Xia Zhou, Qiong Zheng, Yangxiaoyue Liu, Jianhui Xu, Dan Li, Chongyang Wang, Jiayi Wei, Jing Zhang, Shuisen Chen, and Jianxi Huang

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Short summary
Existing cropland datasets in China show significant discrepancies. We created a high-resolution cropland map of China for 2020, using imagery from Mapbox and Google. By combining image quality assessments, active learning for semantic segmentation, and results integration. The accuracy achieved to 88.73 %, with 30 out of 32 provincial units reporting area estimates within ±10 % of official statistics. In contrast, only 9 to 1 provinces from 7 existing datasets meet the same accuracy standard.
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