| 基于卫星InSAR技术的地质灾害隐患点探测与形变分析 |
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| 引用本文： | 陆超然,蔡杰华,刘东烈,郭金城,董杰,廖明生.基于卫星InSAR技术的地质灾害隐患点探测与形变分析[J].南京气象学院学报,2020,12(2):216-222. |
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| 作者姓名： | 陆超然 蔡杰华 刘东烈 郭金城 董杰 廖明生 |
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| 作者单位： | 武汉大学 测绘遥感信息工程国家重点实验室, 武汉, 430079,武汉大学 测绘遥感信息工程国家重点实验室, 武汉, 430079,贵州省第一测绘院, 贵阳, 550025,贵州省第一测绘院, 贵阳, 550025,武汉大学 遥感信息工程学院, 武汉, 430079,武汉大学 测绘遥感信息工程国家重点实验室, 武汉, 430079 |
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| 基金项目： | 国家自然科学基金青年基金（41904001）；中国博士后科学基金第64批面上资助（2018M640733）；武汉大学自主科研项目（2042019kf0048）；测绘遥感信息工程国家重点实验室开放基金（18R03） |
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| 摘 要： | 地质灾害的频繁发生直接或间接地给自然环境和社会带来了不可逆转的巨大危害，近年来我国也在不断加强地质灾害早期识别和防治的力度.合成孔径雷达干涉测量（InSAR）技术以其全天时、全天候、高精度、大范围监测的优势，成为一种重要的形变监测手段.本文以贵州省黔东南州地质灾害隐患排查为例，采用差分干涉测量（D-InSAR）和小基线集（SBAS）时序InSAR技术分别处理了ALOS-2/PALSAR-2和Sentinel-1雷达数据.选取具有代表性的4个隐患点区域重点讨论，结果展示了D-InSAR在大范围地表形变探测以及SBAS在高精度形变监测中的优势，同时表明两种方法在地质灾害隐患普查中可以互相补充，提升地灾隐患的识别能力.此外，获取的隐患点雷达视线方向累积形变序列和平均形变速率，可为贵州省地质灾害防灾减灾提供有价值的参考.
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| 关 键 词： | 贵州黔东南州 地质灾害 差分干涉测量 小基线集 时序形变分析 |
| 收稿时间： | 2019/10/20 0:00:00 |
Detection of geological hazards danger points and deformation time series analysis based on satellite InSAR technique |
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| LU Chaoran,CAI Jiehu,LIU Donglie,GUO Jincheng,DONG Jie and LIAO Mingsheng.Detection of geological hazards danger points and deformation time series analysis based on satellite InSAR technique[J].Journal of Nanjing Institute of Meteorology,2020,12(2):216-222. |
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| Authors: | LU Chaoran CAI Jiehu LIU Donglie GUO Jincheng DONG Jie and LIAO Mingsheng |
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| Institution: | State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079,Guizhou Provincial First Institute of Surveying and Mapping, Guiyang 550025,Guizhou Provincial First Institute of Surveying and Mapping, Guiyang 550025,School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079 and State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079 |
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| Abstract: | The frequent occurrence of geological disasters has brought irreversible great harm to natural environment and human society directly or indirectly.In recent years,China has been strengthening the efforts of early identification and effective prevention of geological disasters.Interferometric Synthetic Aperture Radar (InSAR) has been recognized as an important deformation detecting method with the advantages of all-time,all-weather,high accuracy,and large scale monitoring.In this paper,potential geological hazard points in Qiandongnan prefecture of Guizhou were detected by processing ALOS-2/PALSAR-2 and Sentinel-1 SAR data with D-InSAR and SBAS time series InSAR.The detection results of four representative research areas revealed that:D-InSAR has advantage in large-scale detecting while SBAS has superiority in high-precision monitoring.Hence,the two methods can complement each other and improve the reliability of identification for geological hazards.The cumulative deformation time series and average deformation velocity can be obtained by SBAS simultaneously,which provides valuable reference for geological disaster prevention in Guizhou. |
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| Keywords: | Qiandongnan prefecture of Guizhou geological hazards differential InSAR (D-InSAR) small baseline subsets (SBAS) deformation time series analysis |
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