摘要
江汉平原是长江流域洪涝多发区域,准确开展洪涝灾害监测对于防灾减灾具有重要的意义。该文提出了一种多源数据协同的洪水范围提取方法,通过构建长时间序列遥感观测地表水数据,基于水体分布先验知识构建排除层对归一化洪水指数法(Normalized Difference Flood Index,NDFI)提取的洪涝信息进行修正,剔除部分错分误差。选取2020年夏季江汉平原洪涝灾害事件开展实验验证,实验结果表明,提出的方法可以有效改进针对江汉平原正常的水体误分成洪涝的情况,主要表现在部分农田、湖泊和河流区域被误判成洪涝的像元经过排除层的设置得到剔除,提高了洪涝制图精度。
The Jianghan Plain is a flood-prone area in the Yangtze River Basin,and accurate monitoring of floods is of great significance for disaster prevention and mitigation.In this paper,a multi-source data collaborative flood range extraction method is proposed.By constructing long-term remote sensing observation surface water data,and constructing an exclusion layer based on the prior knowledge of water distribution,the flood information extracted by the Normalized Difference Flood Index(NDFI)method method is corrected to eliminate partial misclassification errors.The flood disaster event in the Jianghan Plain in the summer of 2020 was selected to carry out experimental verification.The experimental results show that the proposed method can effectively improve the situation that normal water bodies in the Jianghan Plain are mistakenly classified as floods,mainly in that the pixels that are mistakenly classified as floods in some farmland,lake and river areas are eliminated through the setting of the exclusion layer,which improves the accuracy of flood mapping.
作者
夏智宏
万君
薛富强
刘凯文
尹超
XIA Zhi-hong;WAN Jun;XUE Fu-qiang;LIU Kai-wen;YIN Chao(Wuhan Regional Climate Center,Wuhan 430074,China;Three Gorges National Climatological Observatory,Yichang 443099,China;Schoolof Geography and Information Engineering,China University of Geosciences,Wuhan 430074,China;Institute of Space Integrated Ground Network,Hefei 230093,China)
出处
《长江流域资源与环境》
CAS
CSSCI
CSCD
北大核心
2023年第7期1447-1455,共9页
Resources and Environment in the Yangtze Basin
基金
湖北省气象局科技发展基金重点项目(2021Z04)
湖北省气象局科技发展基金重点项目(2022Z05)
湖北省低碳试点专项“湖北省适应气候变化行动方案”。
关键词
洪涝遥感监测
NDFI
永久水体
排除层
remote sensing monitoring of floods
NDFI
permanent water bodies
exclusion layer