王洪明,李如仁,高建,陈振炜.时间序列InSAR技术广域地表形变监测——以湖北省为例[J].贵州地质,2023,40(1):36-42
时间序列InSAR技术广域地表形变监测——以湖北省为例
Wide-area Surface Deformation Monitoring Based on Time-series InSAR Technique——A case study of Hubei Province
投稿时间:2022-10-31  
DOI:
中文关键词:  时序InSAR  广域  地表形变监测  地质灾害
英文关键词:The sequential InSAR  Wide-area  Surface deformation monitoring  Geological hazards
基金项目:国家自然科学基金项目(编号:51774204)资助。
作者单位
王洪明 长春建筑学院交通学院吉林长春130607
沈阳建筑大学交通工程学院辽宁沈阳110168 
李如仁 沈阳建筑大学交通工程学院辽宁沈阳110168 
高建 沈阳建筑大学交通工程学院辽宁沈阳110168 
陈振炜 武汉大学测绘遥感信息工程国家重点实验室湖北武汉430079 
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中文摘要:
      中国地质灾害点分布较为广泛,人工调查和排查的手段在特殊地区无法开展地质灾害隐患的识别,为了满足大区域地质灾害普查的需要,提出利用时序InSAR技术对广域地表进行形变监测。本文利用4个轨道92景Sentinel 1影像,基于小基线子集技术,首先,基于特定的时空基线阈值筛选影像集合;其次,利用轨道参数与强度信息进行影像配准,同时利用DEM去除地形相位;然后,通过两次形变反演剔除大气延迟相位与噪声相位;最后,将视线向形变量转换为垂直向形变,生成湖北省省域沉降普查图。结果表明,全省最大沉降速率达51 mm·a-1,荆门市石膏矿区存在缓慢沉降,最大年沉降速率为212 mm·a-1,通过历史灾害资料及实地调查核实,时间序列InSAR技术在广域地表形变监测中的有效性,为全省地质灾害普查提供一种技术支持。
英文摘要:
      In China,geological disaster sites are widely distributed,and manual investigation and investigation cannot be used to identify geological hazards in special areasFor example,to meet the needs of large-scale regional geological disaster survey,time-series InSAR technology is proposed to monitor the surface deformation in a wide areaIn this paper,four orbital 92-scene Sentinel 1 images are selected based on the small baseline subset techniqueSecondly,orbit parameters and intensity information are used for image registration,and DEM is used to remove topographic phaseThen,the atmospheric delay phase and noise phase are removed by two deformation inversionFinally,the line of sight is transformed into vertical deformation to generate the general subsidence map of Hubei ProvinceThe results show that the maximum subsidence rate of Hubei is 51 mm·a-1,and the maximum annual subsidence in Jingmen gypsum mining area rate is 212 mm·a-1The validity of InSAR technology in wide-area surface deformation monitoring is verified by historical disaster data and field investigation,which provides a technical support for geological disaster survey in Hubei province
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