Thematic Mapping of Landslide Susceptibility of Kayapa Nueva Vizcaya

Authors

Sarilyn R. Lopez.

Nueva Vizcaya State University, Bayombong, Nueva Vizcaya (Philippines)

Jellyfer B. Bello

Nueva Vizcaya State University, Bayombong, Nueva Vizcaya (Philippines)

Article Information

DOI: 10.51584/IJRIAS.2026.11030025

Subject Category: Agriculture

Volume/Issue: 11/3 | Page No: 263-276

Publication Timeline

Submitted: 2026-03-14

Accepted: 2026-03-19

Published: 2026-03-31

Abstract

To properly manage the landslide threat and minimize property damage and fatalities, a landslide susceptibility map must be created. The municipality of Kayapa has seen landslides, just like many other hilly areas, which have caused lives, injuries, and property damage. Therefore, the purpose of this work was to use a Geographic Information System-based spatial multicriteria approach to create map of landslide susceptibility. For the current assessment, seven parameters were chosen, that include elevation, land cover, rainfall, slope, road distance, and river distance. Four susceptibility classes low, moderate, high and very high—were identified on the landslide susceptibility map that resulted from the integration of Analytical Hierarchy Process and Geographic Information System methodologies. The thematic maps provide a more detailed representation of the places that are susceptible. The data indicates that 7288.12 hectares are classified as low susceptible, 14138.65 hectares as moderate susceptible, 16525.27 hectares as highly susceptible, and 11618.47 hectares as very highly susceptible to landslides. The study also reveals that the Slope is the most influential factor affecting landslide vulnerability. Additionally, the field survey and geotagging validation provide positive findings, meaning that the verified spots match the susceptibility levels on the landslide susceptibility map. The visualization of landslide susceptibility is a useful tool for disaster preparedness since it allows local government agencies to put specific policies in place to reduce the danger of landslides, particularly in high-risk areas.

Keywords

landslide, map, parameters, susceptibility classes

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