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
王静 1万君 1邓环环1
作者信息
- 1. 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
- 折叠
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0.842 9,结果表明该方法具有较好的提取结果.
Abstract
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.
关键词
多时相遥感影像/Sentinel-2/虾稻田/决策树/江汉平原Key words
multi-temporal remote sensing/Sentinel-2/rice-crayfish paddy field/decision tree/Jianghan Plain引用本文复制引用
基金项目
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)
湖北省气象局基金项目(2022Z05-04)
湖北省气象局面上基金项目(2023Y05)
出版年
2024
NETL
NSTL
万方数据