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遥感技术与应用
遥感应用     
基于Sentinel-1A SAR的湖南省宁乡市洪水监测
郭欣,赵银娣
(中国矿业大学环境与测绘学院,江苏 徐州 221116 )
Floodinundation Monitoring in Ningxiang of Hunan Province based on Sentinel-1A SAR
Guo Xin ,Zhao Yindi
(Institute of Environment and Surveying and Mapping,China University of Mining and Technology,Xuzhou,221116,China)
 全文: PDF(11782 KB)  
摘要:
洪涝灾害以其高频发、大危害的特点,严重危害人类的生命和财产安全,洪水监测也因此至关重要。2017年6月末,我国湖南省县级市宁乡市发生有记录以来最严重降水,引发严重洪水灾害。选取宁乡市灾前和灾中的Sentinel-1A SAR数据,采用基于GMM模型的双峰法、Otsu算法和区域生长法提取水体信息,进行洪水淹没区监测,再与从In-SAR干涉图中获得的淹没区域进行比较,评定方法优劣。结果表明:完全基于统计的双峰法提取结果与In-SAR干涉图提取结果差异最大,查全率和查准率均最低;Otsu算法和区域生长法提取效果相当,Otsu算法查全率较高,区域生长法查准率稍强;Otsu算法监测宁乡市洪水淹没区面积为8.49 km2,区域生长法监测宁乡市洪水淹没区面积为8.71  km2,均高于过去两年同期水平。
关键词: 洪水监测监测方法Sentinel-1A SAR监测方法评价    
Abstract: The flood disaster,with its high frequency and great harm,seriously endangers the safety of human life and property,making its monitoring an emergency.At the end of June of 2017,the most serious rainfall ever occurred in Ningxiang,Hunan Province and caused serious flood disaster.This paper chooses Sentinel\|1A SAR data before and after the disaster to do some monitoring by doublet method based on GMM,Otsu algorithm and region growing method.The results will be compared with the flood inundation region from In-SAR to make an evaluation of pros and cons.The experiment shows that the doublet method based on statistics works the worst due to its lowest recall and precision rate.Otsu algorithm and region growing method have roughly equivalent accuracy.Otsu algorithm has a little higher recall rate and a little lower precision rate than region growing method.
Key words: Flood monitoring    Monitoring method    Sentinel-1A SAR    Evaluation of monitoring methods
收稿日期: 2017-12-05 出版日期: 2018-09-08
:  TP79  
基金资助: 徐州市重点研发计划项目(KC17055)和中央高校基本科研业务费专项基金资助项目(2015XKMS050)共同资助。

作者简介: 郭欣(1994-),男,河南洛阳人,硕士研究生,主要从事遥感数据处理、模式识别以及遥感应用模型研究。Email:guo124xin@163.com。
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引用本文:

郭欣,赵银娣. 基于Sentinel-1A SAR的湖南省宁乡市洪水监测[J]. 遥感技术与应用, 10.11873/j.issn.1004-0323.2018.4.0646.

Guo Xin,Zhao Yindi. Floodinundation Monitoring in Ningxiang of Hunan Province based on Sentinel-1A SAR. Remote Sensing Technology and Application, 10.11873/j.issn.1004-0323.2018.4.0646.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2018.4.0646        http://www.rsta.ac.cn/CN/Y2018/V33/I4/646

[1] 毛先成, 熊靓辉, 高岛?勋. 基于MOS-1b/MESSR的洪灾遥感监测[J]. 遥感技术与应用, 2007, 22(6): 685-689.