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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Copernicus Publications
2025-05-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/17/2193/2025/essd-17-2193-2025.pdf |
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| author | R. Shen Q. Peng X. Li X. Chen W. Yuan |
| author_facet | R. Shen Q. Peng X. Li X. Chen W. Yuan |
| author_sort | R. Shen |
| collection | DOAJ |
| description | <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> |
| format | Article |
| id | doaj-art-0d3d5e5a264544829e3a0d50fb918a00 |
| institution | Kabale University |
| issn | 1866-3508 1866-3516 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Copernicus Publications |
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| spelling | doaj-art-0d3d5e5a264544829e3a0d50fb918a002025-08-20T03:48:27ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162025-05-01172193221610.5194/essd-17-2193-2025CCD-Rice: a long-term paddy rice distribution dataset in China at 30 m resolutionR. Shen0Q. Peng1X. Li2X. Chen3W. Yuan4School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, Guangdong, ChinaSchool of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, Guangdong, ChinaSchool of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, Guangdong, ChinaSchool of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, Guangdong, ChinaInstitute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China<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>https://essd.copernicus.org/articles/17/2193/2025/essd-17-2193-2025.pdf |
| spellingShingle | R. Shen Q. Peng X. Li X. Chen W. Yuan CCD-Rice: a long-term paddy rice distribution dataset in China at 30 m resolution Earth System Science Data |
| title | CCD-Rice: a long-term paddy rice distribution dataset in China at 30 m resolution |
| title_full | CCD-Rice: a long-term paddy rice distribution dataset in China at 30 m resolution |
| title_fullStr | CCD-Rice: a long-term paddy rice distribution dataset in China at 30 m resolution |
| title_full_unstemmed | CCD-Rice: a long-term paddy rice distribution dataset in China at 30 m resolution |
| title_short | CCD-Rice: a long-term paddy rice distribution dataset in China at 30 m resolution |
| title_sort | ccd rice a long term paddy rice distribution dataset in china at 30 thinsp m resolution |
| url | https://essd.copernicus.org/articles/17/2193/2025/essd-17-2193-2025.pdf |
| work_keys_str_mv | AT rshen ccdricealongtermpaddyricedistributiondatasetinchinaat30thinspmresolution AT qpeng ccdricealongtermpaddyricedistributiondatasetinchinaat30thinspmresolution AT xli ccdricealongtermpaddyricedistributiondatasetinchinaat30thinspmresolution AT xchen ccdricealongtermpaddyricedistributiondatasetinchinaat30thinspmresolution AT wyuan ccdricealongtermpaddyricedistributiondatasetinchinaat30thinspmresolution |