Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 8
Articles | Volume 18, issue 8
https://doi.org/10.5194/essd-18-6065-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-6065-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 8
Data description article
 | 
25 Aug 2026
Data description article |  | 25 Aug 2026

NortheastChinaMaizeYield10m: a 10 m resolution maize yield dataset for Northeast China (2019–2024) generated via a mechanistically interpretable, field-label-free framework

Jingbo Hu, Xin Du, Qiangzi Li, Yuan Zhang, Hongyan Wang, Jiansong Luo, Jingyuan Xu, Yachao Zhao, Zhaoming Zhang, Yong Dong, and Yunqi Shen

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Short summary
We produced a 10 m maize yield dataset for Northeast China covering 2019–2024 by combining process-based crop simulations with deep learning. The framework avoids the need for field yield labels during training while maintaining good accuracy against independent observations. The dataset captures both regional yield patterns and fine-scale field variability, supporting agricultural monitoring and management.
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