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

<p>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 ric...

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Bibliographic Details
Main Authors: R. Shen, Q. Peng, X. Li, X. Chen, W. Yuan
Format: Article
Language:English
Published: Copernicus Publications 2025-05-01
Series:Earth System Science Data
Online Access:https://essd.copernicus.org/articles/17/2193/2025/essd-17-2193-2025.pdf
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Summary:<p>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 mitigate the impact of cloud contamination and missing data in optical remote sensing observations on rice mapping. This study produced CCD-Rice (China Crop Dataset-Rice), the first high-resolution rice distribution dataset in China from 1990 to 2016. Based on 394 753 validation samples, the overall accuracy of the distribution maps in each provincial administrative region averaged 89.61 %. Compared with 20 544 county-level statistical data, the coefficients of determination (<span class="inline-formula"><i>R</i><sup>2</sup></span>) of single- and double-season rice in each year averaged 0.85 and 0.78, respectively. The distribution maps can be obtained at <a href="https://doi.org/10.57760/sciencedb.15865">https://doi.org/10.57760/sciencedb.15865</a> (Shen et al., 2024a).</p>
ISSN:1866-3508
1866-3516