Articles | Volume 17, issue 5
https://doi.org/10.5194/essd-17-2193-2025
© 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-17-2193-2025
© 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
| 
26 May 2025
Data description article |
| 26 May 2025
| 26 May 2025
CCD-Rice: a long-term paddy rice distribution dataset in China at 30 m resolution
Ruoque Shen
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, Guangdong, China
Qiongyan Peng
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, Guangdong, China
Xiangqian Li
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, Guangdong, China
Xiuzhi Chen
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, Guangdong, China
Wenping Yuan
CORRESPONDING AUTHOR
Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
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Cited
17 citations as recorded by crossref.
- High-Resolution Crop Mapping and Suitability Assessment in China’s Three Northeastern Provinces (2000–2023): Implications for Optimizing Crop Layout X. Wang et al. https://doi.org/10.3390/agronomy15112587
- Time continuous model sequence reconstruction for rice mapping under growth-constrained knowledge priors L. Zhao et al. https://doi.org/10.1016/j.jag.2026.105186
- Revealing Heterogeneous Trade-Offs and Synergies of Food–Carbon–Water Nexus for Sustainable Agricultural Development in Northeast China Z. Hou et al. https://doi.org/10.3390/agronomy16040437
- Clumped canopy architecture raises global crop yield and reduces N2O emissions Y. Yan et al. https://doi.org/10.1038/s41477-025-02172-w
- A 30-m annual distribution dataset of major crops in China from 2001-2024 Y. Fu et al. https://doi.org/10.1038/s41597-026-07370-5
- On the Spectral–Phenological Features for Crop Mapping Under Complex Planting Patterns: A Case Study in Jiangsu Province, China Z. You et al. https://doi.org/10.3390/rs18132244
- City-Scale, Source-Resolved Methane Inventories Reveal Drivers and Mitigation Pathways Across China’s Cities L. Zhang et al. https://doi.org/10.1021/acs.est.5c18654
- 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. https://doi.org/10.1016/j.rse.2026.115255
- Spatial-temporal assessment and optimization of ecological cropland utilization: A case study of China's Huang-Huai-Hai region L. Yang et al. https://doi.org/10.1016/j.eiar.2026.108383
- Clan Culture, Reputation Constraints, and Bond Credit Ratings A. Shu et al. https://doi.org/10.1007/s10551-026-06411-8
- From Sparse to Refined Samples: Iterative Enhancement-Based PDLCM for Multi-Annual 10 m Rice Mapping in the Middle-Lower Yangtze L. Yang et al. https://doi.org/10.3390/rs18020209
- The impact of spatial shifts of paddy fields on CH4 emissions in China, 1990–2020 H. Wang et al. https://doi.org/10.1016/j.agee.2026.110635
- Precision Crop Identification via Integrated Spatial–Temporal–Spectral Remote Sensing Features X. Tian et al. https://doi.org/10.1109/JSTARS.2025.3575521
- CHN-CH4: a gridded (0.1° × 0.1°) anthropogenic methane emission inventory of China from 1990 to 2020 F. Guo et al. https://doi.org/10.5194/essd-17-4799-2025
- TWDTW-Based Maize Mapping Using Optimal Time Series Features of Sentinel-1 and Sentinel-2 Images H. Yan et al. https://doi.org/10.3390/rs17173113
- From one base-year map to long-term paddy rice maps: an unsupervised transfer learning framework H. Jiang et al. https://doi.org/10.1080/01431161.2026.2700481
- Suitability Analysis of Rice Cropping Patterns in China Using the MaxEnt Model Y. Cai et al. https://doi.org/10.3390/agronomy16100961
17 citations as recorded by crossref.
- High-Resolution Crop Mapping and Suitability Assessment in China’s Three Northeastern Provinces (2000–2023): Implications for Optimizing Crop Layout X. Wang et al. https://doi.org/10.3390/agronomy15112587
- Time continuous model sequence reconstruction for rice mapping under growth-constrained knowledge priors L. Zhao et al. https://doi.org/10.1016/j.jag.2026.105186
- Revealing Heterogeneous Trade-Offs and Synergies of Food–Carbon–Water Nexus for Sustainable Agricultural Development in Northeast China Z. Hou et al. https://doi.org/10.3390/agronomy16040437
- Clumped canopy architecture raises global crop yield and reduces N2O emissions Y. Yan et al. https://doi.org/10.1038/s41477-025-02172-w
- A 30-m annual distribution dataset of major crops in China from 2001-2024 Y. Fu et al. https://doi.org/10.1038/s41597-026-07370-5
- On the Spectral–Phenological Features for Crop Mapping Under Complex Planting Patterns: A Case Study in Jiangsu Province, China Z. You et al. https://doi.org/10.3390/rs18132244
- City-Scale, Source-Resolved Methane Inventories Reveal Drivers and Mitigation Pathways Across China’s Cities L. Zhang et al. https://doi.org/10.1021/acs.est.5c18654
- 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. https://doi.org/10.1016/j.rse.2026.115255
- Spatial-temporal assessment and optimization of ecological cropland utilization: A case study of China's Huang-Huai-Hai region L. Yang et al. https://doi.org/10.1016/j.eiar.2026.108383
- Clan Culture, Reputation Constraints, and Bond Credit Ratings A. Shu et al. https://doi.org/10.1007/s10551-026-06411-8
- From Sparse to Refined Samples: Iterative Enhancement-Based PDLCM for Multi-Annual 10 m Rice Mapping in the Middle-Lower Yangtze L. Yang et al. https://doi.org/10.3390/rs18020209
- The impact of spatial shifts of paddy fields on CH4 emissions in China, 1990–2020 H. Wang et al. https://doi.org/10.1016/j.agee.2026.110635
- Precision Crop Identification via Integrated Spatial–Temporal–Spectral Remote Sensing Features X. Tian et al. https://doi.org/10.1109/JSTARS.2025.3575521
- CHN-CH4: a gridded (0.1° × 0.1°) anthropogenic methane emission inventory of China from 1990 to 2020 F. Guo et al. https://doi.org/10.5194/essd-17-4799-2025
- TWDTW-Based Maize Mapping Using Optimal Time Series Features of Sentinel-1 and Sentinel-2 Images H. Yan et al. https://doi.org/10.3390/rs17173113
- From one base-year map to long-term paddy rice maps: an unsupervised transfer learning framework H. Jiang et al. https://doi.org/10.1080/01431161.2026.2700481
- Suitability Analysis of Rice Cropping Patterns in China Using the MaxEnt Model Y. Cai et al. https://doi.org/10.3390/agronomy16100961
Saved (final revised paper)
Latest update: 21 Oct 2026
Short summary
Rice is a vital staple crop that plays a crucial role in food security in China. However, long-term high-resolution rice distribution maps in China are lacking. This study developed a new rice-mapping method, mitigating the impact of cloud contamination and missing data in optical remote sensing observations on rice mapping. The resulting dataset, CCD-Rice (China Crop Dataset-Rice), achieved high accuracy and showed a strong correlation with statistical data.
Rice is a vital staple crop that plays a crucial role in food security in China. However,...
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