测绘通报 ›› 2026, Vol. 0 ›› Issue (7): 149-155.doi: 10.13474/j.cnki.11-2246.2026.0722

• 技术交流 • 上一篇    下一篇

基于升降轨SBAS-InSAR的川藏铁路拉萨—桑日段潜在滑坡识别

白淑英, 彭达, 谢涛, 张慧, 朱杨贵   

  1. 南京信息工程大学遥感与测绘工程学院, 江苏 南京 210044
  • 收稿日期:2025-10-28 发布日期:2026-08-15
  • 作者简介:白淑英(1973—),女,博士,教授,从事遥感与GIS技术在生态环境、灾害评估中的应用研究。E-mail:001462@nuist.edu.cn
  • 基金资助:
    江苏省自然灾害综合风险普查评估与区划省级质检审核项目(SZZC-JC-2022081)

Potential landslide identification in the Lhasa-Sangri section of the Sichuan-Xizang Railway based on ascending and descending SBAS-InSAR

Bai Shuying, Peng Da, Xie Tao, Zhang Hui, Zhu Yanggui   

  1. College of Remote Sensing and Surveying Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • Received:2025-10-28 Published:2026-08-15

摘要: [目的] 川藏铁路拉萨—桑日段位于青藏高原冈底斯山复杂构造带,滑坡频发,精准识别潜在滑坡风险区域,对铁路的建设与运营安全具有重要意义。[方法] 本文以川藏铁路拉萨—桑日段沿线10 km缓冲区范围为研究区,基于2021—2023年Sentinel-1A升降轨数据和SBAS-InSAR技术反演地表形变。[结果] 研究区的升降轨形变速率值分别为-41.33~15.74 mm/a、-54.45~13.9 mm/a,并进行二维形变分解获取垂向与东西向形变,结合高分影像综合识别潜在滑坡90处,所有识别结果均位于高与极高滑坡风险区,蠕变指数α均大于0,表明潜在滑坡处于缓慢加速形变阶段。[结论] 该方法可为川藏铁路沿线滑坡的预测预警与防灾减灾提供科学支撑。

关键词: 川藏铁路, 潜在滑坡识别, SBAS-InSAR, Sentinel-1A

Abstract: [Purposes] The Lhasa-Sangri section of the Sichuan-Xizang Railway lies within the complex tectonic zone of the Gangdise Mountains on the Qinghai-Xizang Plateau,where landslides are frequent.Accurate identification of potential landslide risk zones is essential for ensuring railway construction and operational safety. [Methods] This study focuses on a 10 km buffer zone along the Lhasa-Sangri section.Using Sentinel-1A ascending and descending orbit data from 2021 to 2023 and the SBAS-InSAR technique,surface deformation was retrieved. [Findings] The deformation rates of ascending and descending tracks in the research area are -41.33 to 15.74 mm/a and -54.45 to 13.9 mm/a,respectively.Two-dimensional decomposition was performed to obtain vertical and east-west deformation components.Combined with high-resolution optical imagery,90 potential landslide were identified.All identified zones are located in high or above landslide susceptibility areas,and the creep index α values are all greater than 0,indicating that the potential landslides are in a slow accelerating deformation stage. [Conclusions] This approach provides scientific support for forecasting,and disaster prevention of landslides along the Sichuan-Xizang Railway.

Key words: Sichuan-Xizang Railway, potential landslide identification, SBAS-InSAR, Sentinel-1A

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