协同卫星与地基InSAR的川藏交通廊道综合监测应用

张瑞; 江航; 阎超; 吕继超; 刘国祥

doi:10.11834/jrs.20265517

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协同卫星与地基InSAR的川藏交通廊道综合监测应用
Comprehensive Monitoring of the Sichuan–Tibet Transportation Corridor by Collaborative Satellite and Ground-Based InSAR
2026年30卷第4期页码：1025-1044
收稿：2025-09-10，

纸质出版：2026-04-07
DOI： 10.11834/jrs.20265517
稿件说明：

移动端阅览

张瑞，江航，阎超，吕继超，刘国祥.2026.协同卫星与地基InSAR的川藏交通廊道综合监测应用.遥感学报，30（4）： 1025-1044 DOI： 10.11834/jrs.20265517.

Zhang R，Jiang H，Yan C，Lv J C and Liu G X. 2026. Comprehensive Monitoring of the Sichuan-Tibet Transportation Corridor by Collaborative Satellite and Ground-Based InSAR. National Remote Sensing Bulletin， 30（4）：1025-1044 DOI： 10.11834/jrs.20265517.

摘要

川藏交通廊道地质环境复杂、边坡灾害点多面广，给公路、铁路工程的建设、运营构成重大安全风险。为满足交通基础设施在勘察、建设与运维各阶段的多元化信息感知需求，本文提出联合卫星与地基InSAR构建立体、动态的综合观测方案，以实现不同空间尺度（廊道—区段—工点）与时间频率（年度普查—季度巡检—连续监测）下的形变信息精准解析；重点构建了融合多轨道时序InSAR观测数据的三维形变解算框架与无迹卡尔曼滤波坡向形变精准提取模型，旨在结合卫星广域覆盖能力与地基雷达高精度、高采样优势，提升复杂山区交通工程灾害早期识别与风险防控的信息支撑与技术保障能力。为验证技术方案的可行性，围绕川藏交通廊道内的318川藏公路和在建重大铁路工程沿线区域，利用多种卫星时序InSAR方法配合开展线路廊道的地表形变时序监测和潜在边坡病害体解译识别，并在9·5泸定地震震中廊道区段重点开展了次生滑坡的解译判识和时序监测；针对关键桥隧工程的灾害防治需要，围绕金沙江桥址区上下游的高风险边坡开展了三维时序形变信息提取，并协同地基InSAR对重要隧址区的边坡蠕滑开展了多尺度监测应用与验证分析。相关研究和实践验证表明，卫星与地基InSAR应用于微小形变的监测具有时—空尺度和视角的优势互补性，本文提出的综合观测方案及川藏交通廊道多尺度应用验证结果，可为西部艰险山区的基础地质调查及防灾减灾相关研究提供参考。

Abstract

The Sichuan-Tibet Transportation Corridor has a complex geological environment and widespread slope hazards

posing significant safety risks to the construction and operation of highways and railways.

In response to the multitiered and differentiated demands for survey

construction

and maintenance in transportation engineering

this study proposes an integrated space-ground Interferometric Synthetic Aperture Radar (InSAR)-based monitoring scheme designed to provide stereoscopic and dynamic observation capabilities. This approach aims to address the diverse information needs of various stakeholders across three spatial scales—corridor zones

critical engineering sections

and key hazard sites—and temporal scales ranging from annual surveys and quarterly inspections to continuous monitoring. Specifically

a 3D deformation calculation framework that combines multitrack time-series InSAR data and a precise slope deformation extraction model based on the unscented Kalman filter were constructed. These models aim to combine the wide-area coverage of satellites with the high precision and high sampling rate of ground-based radar

thereby enhancing information support and technical assurance for early identification and risk prevention of engineering hazards in complex mountainous areas.

To validate the scheme’s feasibility

we applied multiplatform satellite time-series InSAR methods along the G318 Highway and under-construction railway routes within the corridor to conduct large-area deformation monitoring and identify potential slope hazards. Particular attention was given to the Luding earthquake (M

6.6) epicentral area for interpretation and time-series monitoring of secondary landslides. For disaster mitigation at key bridge and tunnel engineering sites

we extracted 3D time-series deformation patterns for high-risk slopes near the Jinsha River bridge site and jointly employed ground-based InSAR to conduct multiscale monitoring applications and verification analysis on slope creep in critical tunnel portal areas.

Results demonstrate that satellite and ground-based InSAR exhibit complementary advantages in spatiotemporal coverage and perspective for monitoring subtle deformations. The proposed comprehensive observation scheme and the multiscale application results in the Sichuan-Tibet Transportation Corridor provide a reference for basic geological surveys and disaster prevention and reduction research in the rugged mountainous regions of Western China.

关键词

Keywords

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