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

【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。

[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 identification 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 covering 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 images,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 largescale 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.