Assessment of PS-InSAR Applicability for Displacement Time-Series Monitoring of Bridges

Se-Hyeok Lee; Kwang-Yeun Park; Taejeong Lim; Keunhee Cho

doi:10.7734/COSEIK.2026.39.3.201

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2026 Vol.39, Issue 3 Preview Page

Research Paper

Assessment of PS-InSAR Applicability for Displacement Time-Series Monitoring of Bridges PS-InSAR 기반 교량 변위 시계열 모니터링의 적용 가능성 평가

30 June 2026. pp. 201-210

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Abstract

This study investigates the applicability of PS-InSAR for long-term bridge monitoring over a wide area. The study area includes major road and railway bridges over the Han River near Yeouido, Seoul. Sentinel-1 SLC images acquired between 2023 and 2025, as well as DEM data were used for the analysis. SAR preprocessing and interferogram generation were performed using GAMMA software, and StaMPS-based PS-InSAR processing was conducted to identify persistent scatterers (PS), remove noise components, perform phase unwrapping, and correct spatially correlated and atmospheric phase errors. As a result, mean line-of-sight (LOS) velocity and displacement time series were derived for 10 bridges over the Han River. The extracted time series revealed seasonal displacement patterns, with many PS points tending to move upward during summer and downward during winter. These results indicate that PS-InSAR can be used to identify long-term behavioral patterns of multiple bridges simultaneously using previously acquired satellite SAR images. However, because the current results are based on LOS displacement from a single orbit direction, further validation and integrated analysis with ascending and descending datasets are required to estimate the actual vertical bridge deflection. PS-InSAR, with sufficient accuracy and reliability, is expected to support cost-effective and proactive bridge maintenance by prioritizing detailed inspections, field measurements, and repair or retrofitting of multiple bridges.

Keywords

PS-InSAR

Sentinel-1

StaMPS

bridge maintenance

LOS displacement time-series

본 연구에서는 넓은 지역에 분포한 다수 교량의 장기 거동을 원격으로 모니터링하기 위한 PS-InSAR 기법의 교량 유지관리 적용 가능성을 검토하였다. 이를 위해 서울 여의도 인근 한강 상의 주요 도로교 및 철도교를 포함하는 연구지역을 선정하고, 2023년부터 2025년까지 획득된 Sentinel-1 SLC 영상과 DEM 자료를 활용하였다. SAR 영상 전처리 및 간섭영상 생성을 위해 GAMMA 소프트웨어를 사용하였으며, StaMPS 기반 PS-InSAR 분석을 통해 영구 산란체(Permanent Scatterer, PS)를 선정하고, 노이즈 제거, 위상 언래핑, 공간 및 대기 오차 보정 등을 수행하였다. 분석 결과, 연구지역 내 10개 교량에 대해 LOS 방향 평균 변위 속도와 변위 시계열을 도출할 수 있었으며, 다수의 교량에서 여름철 상승과 겨울철 하강이 반복되는 계절적 거동 양상이 관찰되었다. 이는 PS-InSAR가 기존 SAR 영상 자료를 기반으로 교량의 장기 거동 변화를 광역적으로 파악하는 데 활용될 수 있음을 보여준다. 다만 본 연구 결과는 단일 궤도 방향의 LOS 변위에 기반하므로 실제 수직 처짐으로 해석하기 위해서는 상승궤도 및 하강궤도 자료의 통합 분석, 현장 계측 또는 타 PS-InSAR 분석 결과와의 비교･검증, 그리고 교량 형식과 열팽창 특성을 반영한 후처리 과정이 필요하다. 향후 이러한 분석 신뢰성이 확보될 경우, PS-InSAR는 광역 교량군의 장기 모니터링과 정밀점검 및 보수･보강 우선순위 도출을 지원하는 유지관리 기술로 활용될 수 있을 것으로 기대된다.

키워드

PS-InSAR

Sentinel-1

StaMPS

교량 유지관리

LOS 변위 시계열

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Information

Publisher :Computational Structural Engineering Institute of Korea
Publisher(Ko) :한국전산구조공학회
Journal Title :Journal of the Computational Structural Engineering Institute of Korea
Journal Title(Ko) :한국전산구조공학회 논문집
Volume : 39
No :3
Pages :201-210
Received Date : 2026-05-20
Revised Date : 2026-05-25
Accepted Date : 2026-05-26
DOI :https://doi.org/10.7734/COSEIK.2026.39.3.201

Journal of the Computational Structural Engineering Institute of Korea ISSN:1229-3059(Print) 2287-2302(Online) 한국전산구조공학회 논문집

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