首页|基于Sentinel-2数据提取江汉平原虾稻田分布方法

基于Sentinel-2数据提取江汉平原虾稻田分布方法

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以江汉平原为研究区,基于AI Earth阿里云平台提供的Sentinel-2 MSI L2数据,在实地采样样本和目视解译样本的基础上,通过分析遥感影像中虾稻田的时序变化规律,总结出区分虾稻田与其他地物类型的关键时间以及指数阈值,从而构建虾稻田提取的决策树模型,最终提取出江汉平原2022-2023年虾稻田的空间分布.最后,基于样本数据评估了该方法的精度,总体精度达93.25%,Kappa系数为0.842 9,结果表明该方法具有较好的提取结果.
The method of extracting rice-crayfish paddy fields distribution in the Jianghan Plain based on Sentinel-2 data
Taking the Jianghan Plain as the study area,and based on the Sentinel-2 MSI L2 data provided by AI Earth cloud plat-form,on the basis of field sampling samples and visually interpreted samples,the critical time and index threshold to distinguish rice-crayfish paddy fields from other ground types were summarized by analyzing the temporal change of rice-crayfish paddy fields in re-mote sensing images,so as to construct a decision tree model for rice-crayfish paddy fields extraction.Finally,the spatial distribution of rice-crayfish paddy fields in the Jianghan Plain from 2022 to 2023 was extracted.Finally,the accuracy of the method was evaluated based on the sample data,and the overall accuracy reached 93.25%with Kappa coefficient of 0.842 9,which showed that the method had better extraction results.

multi-temporal remote sensingSentinel-2rice-crayfish paddy fielddecision treeJianghan Plain

王静、万君、邓环环

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武汉区域气候中心,武汉 430074

三峡国家气候观象台,湖北 宜昌 443002

中国气象局流域强降水重点开放实验室,武汉 430205

多时相遥感影像 Sentinel-2 虾稻田 决策树 江汉平原

湖北省气象局年轻科技人员基金项目湖北省气象局基金项目湖北省气象局基金项目湖北省气象局面上基金项目

2023Q062022Z032022Z05-042023Y05

2024

湖北农业科学
湖北省农业科学院 华中农业大学 长江大学 黄冈师范学院

湖北农业科学

CSTPCD
影响因子:0.442
ISSN:0439-8114
年,卷(期):2024.63(8)
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