河南科技2024,Vol.51Issue(6) :95-99.DOI:10.19968/j.cnki.hnkj.1003-5168.2024.06.019

基于SBAS-InSAR技术的若羌县地质灾害识别与监测

Geological Disaster Identification and Monitoring in Ruoqiang County Based on SBAS-InSAR Technology

蔡瑞庆 马立龙 李倩文 张帆
河南科技2024,Vol.51Issue(6) :95-99.DOI:10.19968/j.cnki.hnkj.1003-5168.2024.06.019

基于SBAS-InSAR技术的若羌县地质灾害识别与监测

Geological Disaster Identification and Monitoring in Ruoqiang County Based on SBAS-InSAR Technology

蔡瑞庆 1马立龙 1李倩文 2张帆2
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作者信息

  • 1. 新疆维吾尔自治区地质矿产勘查开发局第三地质大队,新疆 库尔勒,841000
  • 2. 西安煤航遥感信息有限公司,陕西 西安,710100
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摘要

[目的]我国新疆地域广阔,地质灾害时有发生,严重威胁人们的生产生活安全,大范围的地质灾害识别监测工作亟须开展.[方法]基于SBAS-InSAR技术对新疆若羌县区域内的地质灾害进行识别与监测.选取2020年1月至2022年11月期间,覆盖研究区范围的两个图幅的Sentinel-1A数据进行处理.[结果]获取了研究区的累积形变量,并结合光学遥感影像,解译了13处有形变特征的地质灾害隐患点,野外验证准确率77%,最终确定10处为地质灾害点.[结论]对于大范围地质灾害识别问题,InSAR技术相较于点监测技术来说,具有先天优势,能够快速、方便地获取整个工作区的形变情况,在地质灾害识别工作中具有重要作用.

Abstract

[Purposes]Xinjiang is a vast region with frequent geological disasters which seriously threaten the safety of people's production and life,so it is urgent to carry out large-scale geological hazard identi-fication and monitoring.[Methods]Based on SBAS-InSAR technology,geological disasters in Ruoqiang country,Xinjiang were identified and monitored in this paper.The Sentinel-1A data of two maps cover-ing the working area from January 2020 to November 2022 were selected for processing.[Findings]The cumulative deformation in the working area was obtained and,combined with optical remote sensing im-ages,13 hidden geological disasters with deformation characteristics were interpreted.The accuracy of field verification was 77%,and 10 points were finally identified as geological disasters.[Conclusions]Compared with the point monitoring technology,InSAR technology has a congenital advantage for large-scale geological disaster identification,which can quickly and conveniently obtain the deformation of the whole work area,and plays an important role in geological disaster identification.

关键词

若羌县/SBAS-InSAR技术/地质灾害/野外验证

Key words

Ruoqiang County/SBAS-InSAR technology/geological disaster/field verification

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基金项目

陕西省自然科学基础研究计划(2023-JC-QN-0370)

城市地质调查三维地质建模及应用技术研究项目(YGKJ-2022-04)

出版年

2024
河南科技
河南省科学技术信息研究院

河南科技

影响因子:0.615
ISSN:1003-5168
参考文献量9
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