Landslide identification and analysis along oil and gas pipelines using time-series InSAR technology

doi:10.13474/j.cnki.11-2246.2026.1001

Abstract

Abstract: [Purposes] Long-distance oil and gas pipelines cover a wide area,with diverse terrain and landforms along the way and rather complex geological conditions.When passing through areas prone to geological disasters,pipelines are prone to damage,which can cause huge property losses.Therefore,it is particularly important to monitor landslides along oil and gas pipelines. [Methods] This paper takes the area passed by the Changqing oil and gas pipeline as the research area.The DS-InSAR technology is adopted to obtain the surface deformation information in the research area.Based on the analysis of Sentinel-1 data from January 2020 to May 2022,landslide identification is carried out,and combining soil erosion modulus and multiple influencing factors,the random forest interpretability analysis method is used to quantify the relative contributions of landslide inducing factors in the study area. [Findings] A total of 348 landslide hazard points were identified in the study area.Among them,188 landslide hazard points were identified within a 5 km corridor along the Changqing oil and gas pipeline. [Conclusions] The factor contribution analysis results showed that terrain undulation,normalized vegetation index (NDVI),soil erosion modulus and precipitation were the core dominant factors affecting the stability of the slopes in the study area．

Key words: oil and gas pipelines, loess landslides, time-series InSAR, soil erosion, explainable analysis

CLC Number:

P237
P258

Ge Pengfei, Ma Yongcai, Yu Mengliang, Chen Mi, Xue Yueming, Qiu Meishi, Xia Zehong, Cheng Xi, Fan Kailun. Landslide identification and analysis along oil and gas pipelines using time-series InSAR technology[J]. Bulletin of Surveying and Mapping, 2026, 0(10): 1-11.

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URL: http://tb.chinasmp.com/EN/10.13474/j.cnki.11-2246.2026.1001

http://tb.chinasmp.com/EN/Y2026/V0/I10/1

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