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- Title
CCD-Rice: A long-term paddy rice distribution dataset in China at 30 m resolution.
- Authors
Shen, Ruoque; Peng, Qiongyan; Li, Xiangqian; Chen, Xiuzhi; Yuan, Wenping
- Abstract
As one of the most widely cultivated grain crops, paddy rice is a vital staple food in China and plays a crucial role in ensuring food security. Over the past decades, the planting area of paddy rice in China has shown substantial variability. Yet, there are no long-term high-resolution rice distribution maps in China, which hinders our ability to estimate greenhouse gas fluxes and crop production. This study developed a new optical satellite-based rice mapping method using a machine learning model and appropriate data preprocessing strategies to address the challenges of cloud contamination and missing data in optical remote sensing observations. This study produced CCD-Rice (China Crop Dataset-Rice), the first high-resolution rice distribution dataset in China from 1990 to 2016. Based on 391,659 validation samples, the overall accuracy of the distribution maps in each provincial administrative region averaged 90.26 %. Compared with 20,759 county-level statistical data, the coefficients of determination (R 2) of single- and double-season rice in each year averaged 0.84 and 0.80, respectively. The distribution maps can be obtained at https://doi.org/10.57760/sciencedb.15865 (Shen et al., 2024a).
- Subjects
CHINA; MACHINE learning; OPTICAL remote sensing; AGRICULTURAL productivity; PADDY fields; RICE; FOOD security
- Publication
Earth System Science Data Discussions, 2024, p1
- ISSN
1866-3591
- Publication type
Article
- DOI
10.5194/essd-2024-147