Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 5
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 article
 | 
26 May 2025
Data description article |  | 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

Viewed

Total article views: 4,421 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,534 802 85 4,421 216 74 175
  • HTML: 3,534
  • PDF: 802
  • XML: 85
  • Total: 4,421
  • Supplement: 216
  • BibTeX: 74
  • EndNote: 175
Views and downloads (calculated since 18 Dec 2024)
Cumulative views and downloads (calculated since 18 Dec 2024)

Viewed (geographical distribution)

Total article views: 4,421 (including HTML, PDF, and XML) Thereof 4,350 with geography defined and 71 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Mar 2026
Download
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.

 
 
 
Read more
Share
Altmetrics
Final-revised paper
Preprint