CCD-Rice: a long-term paddy rice distribution dataset in China at 30&thinsp;m resolution

Shen, Ruoque; Peng, Qiongyan; Li, Xiangqian; Chen, Xiuzhi; Yuan, Wenping

doi:https://doi.org/10.5194/essd-17-2193-2025

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.

https://doi.org/10.5194/essd-17-2193-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 5

Data description paper

|

26 May 2025

Data description paper |

| 26 May 2025

CCD-Rice: a long-term paddy rice distribution dataset in China at 30 m resolution

Ruoque Shen, Qiongyan Peng, Xiangqian Li, Xiuzhi Chen, and Wenping Yuan

Supplement

https://doi.org/10.5194/essd-17-2193-2025-supplement

Data sets

CCD-Rice: A paddy rice distribution dataset in China from 1990 to 2016 at 30 m resolution Ruoque Shen et al. https://doi.org/10.57760/sciencedb.15865

Several samples visually interpreted from the very high-resolution images from Google Earth for rice mapping research in China Ruoque Shen et al. https://doi.org/10.6084/m9.figshare.25515019.v3

Model code and software

Codes of a rice mapping method to generate CCD-Rice product Ruoque Shen https://doi.org/10.5281/zenodo.15468566

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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.