基于InSAR技术与光学影像的玉龙县地质灾害隐患判识与分析  

Identification and analysis of geological hazards in Yulong County based on InSAR technology and optical images

作　　者：安红岩[1] 曾繁如[2] 李金豪 AN Hongyan;ZENG Fanru;LI Jinhao(College of Computer Science and Cyber Security(Oxford Brookes College),Chengdu University of Technology,Chengdu 610059,China;School of Surveying,Mapping and Geographic Information,Sichuan Water Conservancy Vocational and Technical College,Chengdu 610000,China;College of Earth Sciences,Chengdu University of Technology,Chengdu 610059,China)

机构地区：[1]成都理工大学计算机与网络安全学院(牛津布鲁克斯学院),成都610059 [2]四川水利职业技术学院测绘地理信息学院,成都610000 [3]成都理工大学地球科学学院,成都610059

出　　处：《物探化探计算技术》2023年第2期252-259,共8页Computing Techniques For Geophysical and Geochemical Exploration

基　　金：国家自然科学基金(41102225)。

摘　　要：玉龙县山高谷深,地形切割强烈,是地质灾害的易发区。为查清地质灾害隐患分布情况,本研究采用高分二号遥感数据与哨兵雷达数据,开展了光学遥感图像解译与SBAS-InSAR处理,经过综合判识,查明了该区地质灾害类型、位置、规模、威胁对象和风险程度,归纳分析了区域地质灾害遥感特征与发育规律,为单体地质灾害监测与防治提供了借鉴。YuLong county is prone to geological disasters due to its high mountains,deep valleys,and topographic solid cutting.In order to find out the distribution of hidden dangers of geological disasters,this study used GF-2 remote sensing data and sentinel radar data to carry out optical remote sensing image interpretation and SBAS-InSAR processing.Through comprehensive identification,the type,location,scale,threat object,and risk degree of geological disasters in this area were found out,and the remote sensing characteristics and distribution rules of regional geological disasters were summarized and analyzed,which provided a basis for the monitoring and prevention of individual geological disasters.

关 键 词：玉龙县 地质灾害 高分二号 INSAR 灾害链 

分 类 号：P237[天文地球—摄影测量与遥感]