Landslide modeling using Weight of Evidence-Information Value (WoE-IV) for disaster risk mitigation in the Amprong Sub-Watershed, East Java Province, Indonesia

Landslide disasters predominantly occur in the upstream sections of river basins due to the steeper slopes typically found in these areas compared to the middle and downstream sections of watersheds. This study aims to compile existing landslide event data to serve as training and validation datasets for mapping and modeling purposes. Specifically, it focuses on analyzing 16 landslide-controlling factors in the Amprong Sub-watershed and developing landslide susceptibility maps using the Weight of Evidence - Information Value (WoE-IV) method. The findings reveal that 46% of the Amprong Sub-watershed area is classified as having a high level of landslide susceptibility, 39% as having a moderate level, and 15% as having a low level of susceptibility. The landslide susceptibility mapping using the WoE-IV method achieved an AUC value of 0.887, indicating that this method provides a reliable and accurate prediction of landslide occurrences in the study area.

Authors

Publication Details

Journal
Journal of Geospatial Science and Analytics
Published
2025-03-30
DOI
https://doi.org/10.58524/jgsa.v1i1.11
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
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article

Landslide modeling using Weight of Evidence-Information Value (WoE-IV) for disaster risk mitigation in the Amprong Sub-Watershed, East Java Province, Indonesia

Listyo Yudha Irawan, Heni Masruroh, Syamsul Bachri, Miftakhul Firdauz Firdauz
Journal of Geospatial Science and Analytics
Landslides and related hazards
article

Landslide modeling using Weight of Evidence-Information Value (WoE-IV) for disaster risk mitigation in the Amprong Sub-Watershed, East Java Province, Indonesia

Listyo Yudha Irawan, Heni Masruroh, Syamsul Bachri, Miftakhul Firdauz Firdauz
article en

Abstract

Landslide disasters predominantly occur in the upstream sections of river basins due to the steeper slopes typically found in these areas compared to the middle and downstream sections of watersheds. This study aims to compile existing landslide event data to serve as training and validation datasets for mapping and modeling purposes. Specifically, it focuses on analyzing 16 landslide-controlling factors in the Amprong Sub-watershed and developing landslide susceptibility maps using the Weight of Evidence - Information Value (WoE-IV) method. The findings reveal that 46% of the Amprong Sub-watershed area is classified as having a high level of landslide susceptibility, 39% as having a moderate level, and 15% as having a low level of susceptibility. The landslide susceptibility mapping using the WoE-IV method achieved an AUC value of 0.887, indicating that this method provides a reliable and accurate prediction of landslide occurrences in the study area.

Journal of Geospatial Science and AnalyticsVol. 1(1)
Openalex Percentile: Top 78%
Landslides and related hazards
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Landslide modeling using Weight of Evidence-Information Value (WoE-IV) for disaster risk mitigation in the Amprong Sub-Watershed, East Java Province, Indonesia — Listyo Yudha Irawan, Heni Masruroh, et al. · Journal of Geospatial Science and Analytics (2025) | TGRS Research Map | TGRS