基于Sentinel-2数据提取江汉平原虾稻田分布方法  

The method of extracting rice-crayfish paddy fields distribution in the Jianghan Plain based on Sentinel-2 data

作　　者：王静 万君[1,2,3] 邓环环[1,2,3] WANG Jing;WAN Jun;DENG Huan-huan(Wuhan Regional Climate Center,Wuhan 430074,China;Three Gorges National Climatological Observatory,Yichang 443002,Hubei,China;China Meteorological Administration Basin Heavy Rainfall Key Laboratory,Wuhan 430205,China)

机构地区：[1]武汉区域气候中心,武汉430074 [2]三峡国家气候观象台,湖北宜昌443002 [3]中国气象局流域强降水重点开放实验室,武汉430205

出　　处：《湖北农业科学》2024年第8期194-200,208,共8页Hubei Agricultural Sciences

基　　金：湖北省气象局年轻科技人员基金项目(2023Q06);湖北省气象局基金项目(2022Z03,2022Z05-04);湖北省气象局面上基金项目(2023Y05)。

摘　　要：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0.8429,结果表明该方法具有较好的提取结果。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 ricecrayfish 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 0.8429,which showed that the method had better extraction results.

关 键 词：多时相遥感影像 Sentinel-2 虾稻田 决策树 江汉平原 

分 类 号：P237[天文地球—摄影测量与遥感]