Articles | Volume 18, issue 1
https://doi.org/10.5194/essd-18-465-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-465-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CN_Wheat10: a 10 m resolution dataset of spring and winter wheat distribution in China (2018–2024) derived from time-series remote sensing
Man Liu
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, PR China
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, PR China
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, PR China
School of Computer Science, China University of Geosciences, Wuhan, 430074, PR China
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Mofan Cheng, Zhuohong Li, Linxin Li, Wei He, Liangpei Zhang, and Hongyan Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-807, https://doi.org/10.5194/essd-2025-807, 2026
Preprint under review for ESSD
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This study presents a quarterly land-cover and soil erosion dataset for the Loess Plateau from 2000 to 2024 with 100 time steps, achieving an overall accuracy of 81.44 % based on 40,000 annotated samples and a mean absolute error of 4.50 % relative to government survey data. The maps show forest expansion, cropland expansion, and bare land reduction, together with a 30 % decline in mean soil erosion.
Zhuohong Li, Wei He, Mofan Cheng, Jingxin Hu, Guangyi Yang, and Hongyan Zhang
Earth Syst. Sci. Data, 15, 4749–4780, https://doi.org/10.5194/essd-15-4749-2023, https://doi.org/10.5194/essd-15-4749-2023, 2023
Short summary
Short summary
Nowadays, a very-high-resolution land-cover (LC) map with national coverage is still unavailable in China, hindering efficient resource allocation. To fill this gap, the first 1 m resolution LC map of China, SinoLC-1, was built. The results showed that SinoLC-1 had an overall accuracy of 73.61 % and conformed to the official survey reports. Comparison with other datasets suggests that SinoLC-1 can be a better support for downstream applications and provide more accurate LC information to users.
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Short summary
This study provides a 10 m resolution wheat distribution dataset that maps both spring and winter wheat across 15 provinces in China from 2018 to 2024. It was developed using large-scale wheat sample generation combined with region-specific feature selection strategies. The dataset demonstrates high accuracy (overall accuracy > 0.91) and offers detailed spatial information to support agricultural monitoring and food security efforts in China.
This study provides a 10 m resolution wheat distribution dataset that maps both spring and...
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