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

IF 11.2 1区地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Earth System Science Data Pub Date : 2024-07-09 DOI:10.5194/essd-2024-147

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

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Abstract

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 (R²) 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).

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CCD-Rice：分辨率为 30 米的中国水稻长期分布数据集

摘要水稻是中国种植面积最大的粮食作物之一，是中国重要的主粮，在保障粮食安全方面发挥着重要作用。在过去的几十年中，中国水稻的种植面积出现了很大的变化。然而，中国没有长期的高分辨率水稻分布图，这阻碍了我们估算温室气体通量和作物产量的能力。本研究利用机器学习模型和适当的数据预处理策略，开发了一种新的基于光学卫星的水稻测绘方法，以解决光学遥感观测中云层污染和数据缺失的难题。该研究制作了中国第一个高分辨率水稻分布数据集 CCD-Rice（China Crop Dataset-Rice），时间跨度为 1990 年至 2016 年。基于 391 659 个验证样本，各省级行政区域分布图的总体精度平均为 90.26%。与 20759 个县级统计数据相比，每年单季稻和双季稻的判定系数（R2）平均分别为 0.84 和 0.80。分布图见 https://doi.org/10.57760/sciencedb.15865（Shen et al.，2024a）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES

CiteScore

18.00

自引率

5.30%

发文量

231

审稿时长

35 weeks

期刊介绍： Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.

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