Articles | Volume 17, issue 12
https://doi.org/10.5194/essd-17-6851-2025
https://doi.org/10.5194/essd-17-6851-2025
Data description paper
 | 
05 Dec 2025
Data description paper |  | 05 Dec 2025

Long history paddy rice mapping across Northeast China with deep learning and annualresult enhancement method

Zihui Zhang, Lang Xia, Fen Zhao, Yue Gu, Jing Yang, Yan Zha, Shangrong Wu, and Peng Yang

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Short summary
We utilized multi-source data and a deep learning model to explore the annual mapping of rice for Northeast China from 1985 to 2023. First, a rice training dataset comprising 155 images was created. Then, we developed the annual result enhancement (ARE) method to diminish the impact of the limited training sample. In comparison to traditional rice mapping methods, the accuracy of results obtained using the ARE method is significantly improved.
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