Artificial slope deformation monitoring and analyzing based on SBAS technology

Current research on geological disasters has predominantly focused on large-scale phenomena in specific regions, yet targeted safety evaluations and hazard identification for artificial slopes along mountainous highways remain underexplored, particularly through the application of Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR). To address this gap, we employed the SBAS-InSAR methodology to analyze 44 Sentinel-1 SAR images spanning a highway slope region in Foshan City, Guangdong Province, integrating the slope’s construction timeline to temporally dissect deformation patterns and assess geological risks. Our results revealed a maximum annual average settlement rate of −35.69 mm/yr and a peak cumulative settlement of −28.9 mm, with deformation trends strongly correlated to construction phases—primarily concentrated between April 2022 and March 2023. Despite localized temporal disparities linked to varying construction schedules, the absence of large-scale anomalous settlement indicated robust geological conditions, while gradual stabilization suggested reduced long-term disaster risks. Spatially, settlement was concentrated at the slope base, accompanied by minor crest uplift. These findings underscore the critical role of SBAS-InSAR in monitoring infrastructure stability and mitigating environmental hazards. The study not only provides a practical framework for ensuring slope safety and sustainable highway operations but also advances methodologies for similar engineering projects, contributing to safer construction practices and informed disaster prevention strategies in geologically sensitive areas.

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Publication Details

Journal
Frontiers in Earth Science
Published
2025-03-24
DOI
https://doi.org/10.3389/feart.2025.1504304
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
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article

Artificial slope deformation monitoring and analyzing based on SBAS technology

Xinlei Huang, Ting Yang, Li‐Peng Zhou, Jincang Liu et al.
Frontiers in Earth Science
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Artificial slope deformation monitoring and analyzing based on SBAS technology

Xinlei Huang, Ting Yang, Li‐Peng Zhou, Jincang Liu, Yun Li
article en

Abstract

Current research on geological disasters has predominantly focused on large-scale phenomena in specific regions, yet targeted safety evaluations and hazard identification for artificial slopes along mountainous highways remain underexplored, particularly through the application of Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR). To address this gap, we employed the SBAS-InSAR methodology to analyze 44 Sentinel-1 SAR images spanning a highway slope region in Foshan City, Guangdong Province, integrating the slope’s construction timeline to temporally dissect deformation patterns and assess geological risks. Our results revealed a maximum annual average settlement rate of −35.69 mm/yr and a peak cumulative settlement of −28.9 mm, with deformation trends strongly correlated to construction phases—primarily concentrated between April 2022 and March 2023. Despite localized temporal disparities linked to varying construction schedules, the absence of large-scale anomalous settlement indicated robust geological conditions, while gradual stabilization suggested reduced long-term disaster risks. Spatially, settlement was concentrated at the slope base, accompanied by minor crest uplift. These findings underscore the critical role of SBAS-InSAR in monitoring infrastructure stability and mitigating environmental hazards. The study not only provides a practical framework for ensuring slope safety and sustainable highway operations but also advances methodologies for similar engineering projects, contributing to safer construction practices and informed disaster prevention strategies in geologically sensitive areas.

Frontiers in Earth ScienceVol. 13
Ministry of Education of the People's Republic of China (CN), Ministry of Natural Resources (CN), South China Institute of Collaborative Innovation (CN)
Openalex Percentile: Top 93%
Synthetic Aperture Radar (SAR) Applications and Techniques
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