Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-661-2025
© Author(s) 2025. 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-17-661-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
11 Feb 2025
Data description article |
| 11 Feb 2025
| 11 Feb 2025
EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023
Mingyang Song
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Ji Ge
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Hong Zhang
CORRESPONDING AUTHOR
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Lijun Zuo
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
Jingling Jiang
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Yinhaibin Ding
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Yazhe Xie
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Fan Wu
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
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Cited
12 citations as recorded by crossref.
- Harnessing neo-domestication of wild pigmented rice for enhanced nutrition and sustainable agriculture R. Rathore et al.
- Automated rice mapping under diverse cropping patterns and establishment methods by integrating phenological knowledge and synergy of optical and SAR imagery X. Li et al.
- Semi-automatic paddy rice intensity mapping for southern China with multiple cropping systems L. Meng et al.
- Generating an annual 30 m rice cover product for monsoon Asia (2018–2023) using harmonized Landsat and Sentinel-2 data and the NASA-IBM geospatial foundation model H. Fang et al.
- Integrative genomic and transcriptomic analysis reveals the regulatory role of m6A genes in heat stress adaptation across rice genotypes M. Qadir et al.
- Mapping rice paddy and cropping intensity by integrating phenology, machine learning, and multi-source satellite images in East and Southeast Asia J. Jin et al.
- Mapping Paddy Rice Cropping Intensity and Planting Dates in Monsoon Asia at 20 m Resolution during 2018–2021 from Multi-source Satellite Data Y. Chen et al.
- A Method for Paddy Field Extraction Based on NDVI Time-Series Characteristics: A Case Study of Bishan District C. Yuan et al.
- Identification and Validation of qSTS5, a QTL Associated with Salt Tolerance at Seedling Stage in Dongxiang Wild Rice Y. Yan et al.
- SimTA: A Dual-Polarization SAR Time-Series Rice Field Mapping Model Based on Deep Feature-Level Fusion and Spatiotemporal Attention D. Ren et al.
- A hierarchy framework for automatic mapping complex rice cropping patterns: National-scale annual datasets of ChinaCP-Rice10m during 2019–2024 Y. Huang et al.
- Automatic rice cropping intensity mapping in cloudy and foggy areas leveraging simplified harmonic analysis based on sentinel-1 imagery S. Peng et al.
12 citations as recorded by crossref.
- Harnessing neo-domestication of wild pigmented rice for enhanced nutrition and sustainable agriculture R. Rathore et al.
- Automated rice mapping under diverse cropping patterns and establishment methods by integrating phenological knowledge and synergy of optical and SAR imagery X. Li et al.
- Semi-automatic paddy rice intensity mapping for southern China with multiple cropping systems L. Meng et al.
- Generating an annual 30 m rice cover product for monsoon Asia (2018–2023) using harmonized Landsat and Sentinel-2 data and the NASA-IBM geospatial foundation model H. Fang et al.
- Integrative genomic and transcriptomic analysis reveals the regulatory role of m6A genes in heat stress adaptation across rice genotypes M. Qadir et al.
- Mapping rice paddy and cropping intensity by integrating phenology, machine learning, and multi-source satellite images in East and Southeast Asia J. Jin et al.
- Mapping Paddy Rice Cropping Intensity and Planting Dates in Monsoon Asia at 20 m Resolution during 2018–2021 from Multi-source Satellite Data Y. Chen et al.
- A Method for Paddy Field Extraction Based on NDVI Time-Series Characteristics: A Case Study of Bishan District C. Yuan et al.
- Identification and Validation of qSTS5, a QTL Associated with Salt Tolerance at Seedling Stage in Dongxiang Wild Rice Y. Yan et al.
- SimTA: A Dual-Polarization SAR Time-Series Rice Field Mapping Model Based on Deep Feature-Level Fusion and Spatiotemporal Attention D. Ren et al.
- A hierarchy framework for automatic mapping complex rice cropping patterns: National-scale annual datasets of ChinaCP-Rice10m during 2019–2024 Y. Huang et al.
- Automatic rice cropping intensity mapping in cloudy and foggy areas leveraging simplified harmonic analysis based on sentinel-1 imagery S. Peng et al.
Saved (final revised paper)
Latest update: 16 May 2026
Short summary
We created a 10 m resolution rice distribution map for East Asia in 2023 (EARice10), achieving an overall accuracy (OA) of 90.48 % on validation samples. EARice10 shows strong consistency with statistical data (coefficient of determination, R2: 0.94–0.98) and existing datasets (R2: 0.79–0.98). It is the most up-to-date map, covering the four major rice-producing countries in East Asia at 10 m resolution.
We created a 10 m resolution rice distribution map for East Asia in 2023 (EARice10), achieving...
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