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集成InSAR与高分影像的地质灾害隐患早期识别与应用研究 被引量:5

Research on early identification and application of hidden dangers of geological hazards by integrating InSAR and high-resolution image
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摘要 近年来,我国地质灾害处于多发态势,地质灾害防治形势严峻,严重威胁了人民生命及财产安全,利用先进的遥感技术对地质灾害进行早期识别已成为大趋势。针对传统的遥感影像识别已不能满足当前地质灾害隐患识别的需求,提出利用SBAS-InSAR技术、多期多源光学遥感技术、三维倾斜摄影测量等多源遥感技术综合对地质灾害隐患进行早期识别。通过对延安子长市地质灾害识别与监测预警工作,得到了子长地区平均形变速率为76 mm/a,累计形变量为152 mm,并进行了实地调查验证,证明了监测结果的可靠性。结果表明,SBAS-InSAR技术结合高分影像可有效地获取子长地区地质灾害分布情况,为该地区的防灾减灾工作提供了技术支撑。 In recent years,China′s geological disasters are in a situation of frequent occurrence,and the situation of geological disaster prevention and control is severe,which seriously threatens the safety of people′s lives and property.Using advanced remote sensing technology to identify geological disasters in the early stage has become a general trend.In view of the fact that the traditional remote sensing image recognition can no longer meet the current needs of geological disaster hidden danger recognition,this paper proposes to use SBAS-InSAR technology,multi-phase and multi-source optical remote sensing technology,three-dimensional tilt photogrammetry and other multi-source remote sensing technologies to comprehensively identify geological disaster hidden dangers in the early stage.Through the identification,monitoring and early warning of geological disasters in Zichang City,Yan′an,it is obtained that the average deformation rate in Zichang area is 76 mm/a,and the cumulative deformation is 152 mm.The field investigation proves the reliability of the monitoring results.The results show that SBAS-InSAR technology combined with high-resolution images can effectively obtain the distribution of geological disasters in Zichang area,and provide technical support for disaster prevention and mitigation in this area.
作者 张文龙 张童康 Zhang Wenlong;Zhang Tongkang(Natural Resources Shaanxi Satellite Technology Application Center,Xi′an 710100,China;Aerial Survey and Remote Sensing Bureau of China Coal Geology Bureau,Xi′an 710100,China)
出处 《能源与环保》 2022年第7期9-14,21,共7页 CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基金 陕西省科技厅重点研发项目(2019ZDLGY08-06)。
关键词 子长市 地质灾害 SBAS-InSAR 地表形变 早期识别 形变速率 Zichang City geological disaster SBAS-InSAR surface deformation early recognition deformation rate
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