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<p>Studying slow-moving, deep-seated landslides is crucial due to their long-lasting effects on landscapes, infrastructure, and communities. In mountainous regions like Taiwan, understanding these landslides is vital for hazard mitigation and land-use planning. Over 2500 pre-existing landslides have been cataloged in Taiwan using LiDAR data, with many identified as potential slow-moving landslide zones, including a significant site, the Liugui-D047, near Hsinfa Village in southern Taiwan. This study aims to understand the E-W and vertical deformation rates at the potential landslide site using the persistent scattering interferometry (PSI) technique. PSI is particularly effective for detecting slow-moving landslides, providing millimeter-level precision in surface deformation measurements over time. By utilizing open-source tools like ISCE and StaMPS, we conducted a five-year PSI analysis from 2018 to 2023 to monitor surface movements at the site. Our results revealed minimal deformation rates, with westward movements ranging from 4.1 to 2.2&#xa0;mm/yr and vertical downward movements from 4.2 to 1.4&#xa0;mm/yr. These findings were validated by in situ measurements collected in 2023, confirming the observations of PSI for long-term monitoring. This highlights the effectiveness of combining PSI techniques with open-source tools for monitoring landslide sites, especially in areas with limited in-situ resources. Our study shows that this integration can yield detailed, long-term insights into surface deformations while reducing the costs of extensive in-situ monitoring. Additionally, our findings indicate that the topographically well-defined Liugui-D047 landslide site remained stable with minimal movement over five years, though ongoing monitoring is essential due to multiple influencing factors.</p>

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Monitoring slow-moving deep-seated landslide using PSI technique: a case study of a potential sliding slope from southern Taiwan

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年1月6日

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  • Abhishek Lakhote,
  • Yu-Chang Chan,
  • Chiao-Yin Lu,
  • Gopal Kumar,
  • Cheng-Wei Sun

摘要

Studying slow-moving, deep-seated landslides is crucial due to their long-lasting effects on landscapes, infrastructure, and communities. In mountainous regions like Taiwan, understanding these landslides is vital for hazard mitigation and land-use planning. Over 2500 pre-existing landslides have been cataloged in Taiwan using LiDAR data, with many identified as potential slow-moving landslide zones, including a significant site, the Liugui-D047, near Hsinfa Village in southern Taiwan. This study aims to understand the E-W and vertical deformation rates at the potential landslide site using the persistent scattering interferometry (PSI) technique. PSI is particularly effective for detecting slow-moving landslides, providing millimeter-level precision in surface deformation measurements over time. By utilizing open-source tools like ISCE and StaMPS, we conducted a five-year PSI analysis from 2018 to 2023 to monitor surface movements at the site. Our results revealed minimal deformation rates, with westward movements ranging from 4.1 to 2.2 mm/yr and vertical downward movements from 4.2 to 1.4 mm/yr. These findings were validated by in situ measurements collected in 2023, confirming the observations of PSI for long-term monitoring. This highlights the effectiveness of combining PSI techniques with open-source tools for monitoring landslide sites, especially in areas with limited in-situ resources. Our study shows that this integration can yield detailed, long-term insights into surface deformations while reducing the costs of extensive in-situ monitoring. Additionally, our findings indicate that the topographically well-defined Liugui-D047 landslide site remained stable with minimal movement over five years, though ongoing monitoring is essential due to multiple influencing factors.