摘要
以藏南错那地区为研究区,利用光学遥感影像解译与PS-InSAR识别技术等综合遥感识别方法获取研究区地质灾害隐患区数量及分布特征,分析典型隐患区在其时间序列上的形变特征。结果表明:(1)光学遥感影像识别地质灾害隐患区共135处,整体识别率76.3%,识别正确率93.1%;PS-InSAR技术识别地质灾害隐患区共47处,整体识别率26.6%,识别正确率97.9%;综合遥感识别方法共识别地质灾害隐患区137处,其中崩塌76处、滑坡30处、泥石流18处、冰湖溃决13处,整体识别率为77.4%;(2)光学遥感影像和PS-InSAR技术在识别地质灾害方面都有各自的优势,二者均能较好地识别出崩塌与滑坡灾害;对于泥石流与错那地区典型的冰湖溃决地质灾害,基于光学遥感影像识别比基于PS-InSAR技术识别具有更好的效果;(3)通过综合利用光学遥感影像与InSAR技术识别地质灾害,分析典型地质灾害隐患区发育规律,可为藏南错那地区防灾减灾工作提供理论参考与技术支持。
Taking Cuona area,south Tibet as the study area,we obtained the number and distribution characteristics of geological hazard prone areas in the study area by comprehensive remote sensing identification methods,such as optical remote sensing image interpretation and PS-InSAR recognition technology,and analyzed the deformation characteristics of time series of typical hidden affected areas.The results are shown as follows:First,135 geological hazard prone areas were identified by the optical remote sensing image,with the overall recognition rate of 76.3%,and the recognition accuracy rate of 93.1%,while 47 geological hazard prone areas were identified by PS-InSAR technology,with the overall recognition rate of 26.6%and the recognition accuracy rate of 97.9%.137 threatened geological disasters were identified by the comprehensive remote sensing identification method,including 76 collapses,30 landslides,18 debris flows and 13 glacial lake outbursts,and the overall recognition rate was 77.4%.Second,the identification of geological hazard prone areas by optical remote sensing image and PS-InSAR technology have their own advantages,and the collapse and landslide can well be identified by these two methods,while for the debris flow and the typical glacial lake outburst disaster in Cuona area,the identified effect of the former method is better.Third,identifying geological disasters and analyzing the development law of typical geological hazard prone areas by the comprehensive use of optical remote sensing image and InSAR technology can provide theoretical reference and technical support for disaster prevention and reduction in Cuona area,south Tibet.
作者
蒋文学
李益敏
杨一铭
计培琨
赵志芳
JIANG Wenxue;LI Yimin;YANG Yiming;JI Peikun;ZHAO Zhifang(School of Earth Sciences,Yunnan University,Kunming 650500,China;Yunnan University Domestic High Score Satellite Remote Sensing Geological Engineering Research Center,Kunming 650500,China)
出处
《防灾科技学院学报》
2023年第3期1-9,共9页
Journal of Institute of Disaster Prevention
基金
云南省科技厅-云南大学联合基金重点项目(2019FY003017)
中国地质调查局项目(DD20221824)
云南大学湄公河次区域气候变化研究省创新团队项目(2019HC027)。
关键词
光学遥感
PS-INSAR
藏南错那地区
形变监测
地质灾害识别
optical remote sensing
PS-InSAR
Cuona of south Tibet
deformation monitoring
geological hazard identification
作者简介
蒋文学(1998—),硕士研究生,主要从事3S技术在山地环境与地质灾害中的应用研究;通讯作者:李益敏(1965—),女,本科,研究员,主要从事3S技术在山地环境与地质灾害中的应用研究。
