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<p>This study introduces TRIGRSMap, a novel QGIS plugin that integrates the TRIGRS model with enhanced spatial and temporal capabilities for assessing rainfall-induced landslide susceptibility. This study presents a map of rainfall-induced landslide susceptibility derived from spatial slope stability modeling using the TRIGRSMap model. The study aims to determine spatial and temporal slope stability parameters for landslide hazard using TRIGRSMap modeling. This study provides strategic recommendations for mitigating hazard risks and improving preparedness for future landslides in a more effective and efficient manner. TRIGRSMap effectively classifies landslide susceptibility zones, ranging from stable to highly susceptible. Using heterogeneous soil parameters provides a more realistic representation of field conditions than homogeneous assumptions, highlighting broader susceptible areas and more substantial spatial–temporal variations. The TRIGRSMap plugin demonstrated superior performance compared to traditional homogeneous approaches, achieving 40% higher accuracy in identifying susceptible areas during high rainfall periods. Rainfall was identified as the dominant factor influencing temporal changes, with high rainfall in January 2024 reducing stability and subsequent lower rainfall in February–March 2024 restoring near-baseline conditions. These findings emphasize the importance of incorporating heterogeneous data and rainfall variability into landslide susceptibility.</p>

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TRIGRSMap: a QGIS plugin for spatio-temporal rainfall-induced landslide susceptibility mapping

  • 期刊论文

  • 发表日期：

    2026年3月3日

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  • Khori Sugianti,
  • Mamat Suhermat,
  • Antonina Pri Martireni,
  • Wawan Hendriawan Nur,
  • Aang Gunawan Sutyawan,
  • Aria Bisri,
  • Okta Fajar Saputra,
  • Arifan Jaya Syahbana,
  • Hasan Tri Atmojo

摘要

This study introduces TRIGRSMap, a novel QGIS plugin that integrates the TRIGRS model with enhanced spatial and temporal capabilities for assessing rainfall-induced landslide susceptibility. This study presents a map of rainfall-induced landslide susceptibility derived from spatial slope stability modeling using the TRIGRSMap model. The study aims to determine spatial and temporal slope stability parameters for landslide hazard using TRIGRSMap modeling. This study provides strategic recommendations for mitigating hazard risks and improving preparedness for future landslides in a more effective and efficient manner. TRIGRSMap effectively classifies landslide susceptibility zones, ranging from stable to highly susceptible. Using heterogeneous soil parameters provides a more realistic representation of field conditions than homogeneous assumptions, highlighting broader susceptible areas and more substantial spatial–temporal variations. The TRIGRSMap plugin demonstrated superior performance compared to traditional homogeneous approaches, achieving 40% higher accuracy in identifying susceptible areas during high rainfall periods. Rainfall was identified as the dominant factor influencing temporal changes, with high rainfall in January 2024 reducing stability and subsequent lower rainfall in February–March 2024 restoring near-baseline conditions. These findings emphasize the importance of incorporating heterogeneous data and rainfall variability into landslide susceptibility.