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基于多源时序InSAR技术的滑坡隐患早期识别

林明明 赵勇 王坤 张帆 刘晓蕾 李金鑫

西北地质2024,Vol.57Issue(6):268-277,10.
西北地质2024,Vol.57Issue(6):268-277,10.DOI:10.12401/j.nwg.2024083

基于多源时序InSAR技术的滑坡隐患早期识别

Early Identification of Potential Dangers of Loess Landslide Based on Multi-Source and Time Series InSAR

林明明 1赵勇 1王坤 1张帆 2刘晓蕾 1李金鑫1

作者信息

  • 1. 新疆维吾尔自治区地质矿产勘查开发局第六地质大队,新疆 哈密 839000
  • 2. 西安煤航遥感信息有限公司,陕西 西安 710100
  • 折叠

摘要

Abstract

Landslide disasters are frequent and widespread in mountainous areas of China,especially those po-tential disasters and dangers at high altitudes,where traditional technologies are less effective in identification and monitoring.Interferometric Synthetic Aperture Radar(InSAR)technology,as a ground observation tech-nique based on a wide-area surface,can rapidly acquire minor and slow ground deformations over large areas,offering innate advantages over point monitoring techniques and playing a significant role in the identification of landslide risks.This study focuses on the Yecheng area of Xinjiang,utilizing 10 scenes of ALOS-2 data and 98 scenes of Sentinel-1 data.Based on the SBAS-InSAR method,identification and monitoring of geological haz-ards and potential landslide risks were conducted.By interpreting the deformation results in conjunction with optical remote sensing images,a remote sensing interpretation standard was established,revealing 22 potential landslide sites with deformation characteristics.Field verification confirmed 20 of these sites,achieving an iden-tification accuracy rate of 91%.Detailed analysis of the time series deformation and causes at two typical risk sites based on deformation characteristics and field verification results showed a general trend of slow creep,with the potential for accelerated deformation in the event of rainfall or snowmelt.The results indicate that multi-source InSAR technology effectively identifies potential landslide risks in the Yecheng area,providing reliable data support for subsequent landslide disaster prevention and control measures.

关键词

滑坡/SBAS-InSAR/早期识别/野外验证/新疆叶城

Key words

landslide/SBAS-InSAR/early identification/field verification/Yecheng of Xinjiang

分类

天文与地球科学

引用本文复制引用

林明明,赵勇,王坤,张帆,刘晓蕾,李金鑫..基于多源时序InSAR技术的滑坡隐患早期识别[J].西北地质,2024,57(6):268-277,10.

基金项目

新疆维吾尔自治区自然资源厅项目"新疆昆仑山北坡莎车县-叶城县地质灾害重点区域精细化调查"(XJDZDC2019G-2-02)资助. (XJDZDC2019G-2-02)

西北地质

OA北大核心CSTPCD

1009-6248

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