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作 者:吴明堂 房云峰 卓冠晨 易小宇[2] 戴可人 陈建强 冯文凯[2] WU Mingtang;FANG Yunfeng;ZHUO Guanchen;YI Xiaoyu;DAI Keren;CHEN Jianqiang;FENG Wenkai(Zhejiang Huadong Construction Engineering Corporation Limited,Hangzhou 310014,China;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu 610059,China;School of Earth Science,Chengdu University of Technology,Chengdu 610059,China)
机构地区:[1]浙江华东建设工程有限公司,浙江杭州310014 [2]成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川成都610059 [3]成都理工大学地球科学学院,四川成都610059
出 处:《昆明理工大学学报(自然科学版)》2023年第3期53-61,共9页Journal of Kunming University of Science and Technology(Natural Science)
基 金:国家自然科学基金青年基金项目(41801391);四川省自然科学基金杰出青年科学基金项目(2023NSFSC1909)。
摘 要:单一的遥感技术手段往往难以快速、准确地识别出地质灾害隐患.为了查明白鹤滩三家村库岸的地质灾害隐患特征,突破单一地质灾害遥感识别技术手段信息不足的缺陷,本文结合光学遥感解译、合成孔径雷达干涉测量(interferometric synthetic aperture radar, InSAR)形变分析与无人机(unmanned aerial vehicle, UAV)遥感调查,构建了一套基于综合遥感的地质灾害隐患识别方法体系,对白鹤滩三家村库岸的地质灾害隐患进行识别.结果表明,地质灾害隐患综合遥感识别方法可以实现多尺度、多角度查明隐患特征,发现三家村库岸存在三处变形区域值得重点关注.本研究也证实了地质灾害隐患综合遥感识别方法的应用能力,可为地质灾害隐患的识别与防治提供借鉴.Single remote sensing technology often struggles to quickly and accurately identify potential geohazards.In order to determine the characteristics of potential geohazards in the Sanjiacun reservoir bank of Baihetan and overcome the limitations of single geohazard remote sensing techniques,this paper proposes a comprehensive geohazard identification method system.The system combines optical remote sensing interpretation,interferometric synthetic aperture radar(InSAR)deformation analysis,and unmanned aerial vehicle(UAV)remote sensing.The proposed method is applied to identify geohazards in the Sanjiacun reservoir bank of Baihetan.The results demonstrate that the comprehensive remote sensing approach allows for the identification of geohazard characteristics at multiple scales and angles.Three deformation areas in the Sanjiacun reservoir bank are identified as areas of particular concern.This study confirms the effectiveness of the comprehensive remote sensing method for geohazard identification and provides valuable insights for the identification and prevention of geohazards.
分 类 号:P237[天文地球—摄影测量与遥感] P694[天文地球—测绘科学与技术] TV697.23[水利工程—水利水电工程]
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