Stability Evaluation of Vegetation-Covered Highway Slopes Employing Integrated CR-InSAR and Finite Element Simulation

Highway slopes susceptible to landslides are typically reinforced by vegetation cover and the application of concrete frame beams, but vegetation cover may degrade the accuracy of InSAR deformation monitoring. We installed artificial corner reflectors (CRs) on the frame beams and assessed the stability of the vegetated slope using finite element simulation constrained by InSAR deformation data. A study was conducted on a typical landslide-risk slope within the K87 + 391.5–K87 + 565 section of the Guihuang highway, which is reinforced with cast-in-place and prefabricated concrete beams. Experimental results demonstrate that two adjacent corner reflectors (CRs) on the two types of frame beams of the slope can be successfully identified, with deformation rates ranging from 0.1 to 0.4 mm/y, and the root mean square error (RMSE) of discrepancies between CR-InSAR measurements and slope displacement monitoring sensors is less than 0.3 mm. Meanwhile, the current strength reduction factor values for slopes reinforced with cast-in-place and prefabricated concrete beams, as constrained by InSAR multi-dimensional deformation, are 0.11 and 0.12, respectively which are much lower than the critical strength reduction factors of 1.28 and 1.22 corresponding to full coalescence of plastic strain from the slope toe to the slope crest, which indicates that the cast-in-place and prefabricated frame beams exhibit comparable support performance.

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Publication Details

Journal
Remote Sensing
Published
2026-04-28
DOI
https://doi.org/10.3390/rs18091350
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
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article

Stability Evaluation of Vegetation-Covered Highway Slopes Employing Integrated CR-InSAR and Finite Element Simulation

Xuemin Xing, Wei Peng, Jiachen Zhou, Shiping Zhang et al.
Remote Sensing
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Stability Evaluation of Vegetation-Covered Highway Slopes Employing Integrated CR-InSAR and Finite Element Simulation

Xuemin Xing, Wei Peng, Jiachen Zhou, Shiping Zhang, Jun Zhu, Junhui Zhang
article en

Abstract

Highway slopes susceptible to landslides are typically reinforced by vegetation cover and the application of concrete frame beams, but vegetation cover may degrade the accuracy of InSAR deformation monitoring. We installed artificial corner reflectors (CRs) on the frame beams and assessed the stability of the vegetated slope using finite element simulation constrained by InSAR deformation data. A study was conducted on a typical landslide-risk slope within the K87 + 391.5–K87 + 565 section of the Guihuang highway, which is reinforced with cast-in-place and prefabricated concrete beams. Experimental results demonstrate that two adjacent corner reflectors (CRs) on the two types of frame beams of the slope can be successfully identified, with deformation rates ranging from 0.1 to 0.4 mm/y, and the root mean square error (RMSE) of discrepancies between CR-InSAR measurements and slope displacement monitoring sensors is less than 0.3 mm. Meanwhile, the current strength reduction factor values for slopes reinforced with cast-in-place and prefabricated concrete beams, as constrained by InSAR multi-dimensional deformation, are 0.11 and 0.12, respectively which are much lower than the critical strength reduction factors of 1.28 and 1.22 corresponding to full coalescence of plastic strain from the slope toe to the slope crest, which indicates that the cast-in-place and prefabricated frame beams exhibit comparable support performance.

Remote SensingVol. 18(9)
Shanghai Zhangjiang Laboratory (CN), Changsha University of Science and Technology (CN)
National Aeronautics and Space Administration, National Natural Science Foundation of China, Changsha University of Science and Technology, National Key Research and Development Program of China
Sustainable cities and communities
Openalex Percentile: Top 3%
Synthetic Aperture Radar (SAR) Applications and Techniques
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