Geoinformatics approach to classifying landslide hazard in The Hantana Mountain and its vicinity in Sri Lanka

A geoinformatics approach to landslide hazard classification in the Hantana Mountain, Sri Lanka's Central Highlands, reveals that 15% of the study area faces very high or high hazard levels. This finding underscores the significant vulnerability of urbanizing regions to landslides despite their limited spatial extent. Researchers utilized Multi-Criteria Decision Analysis (MCDA) and overlay techniques in ArcGIS, integrating six key factors—bedrock geology, surface deposits, slope, hydrology, land use, and landform—each weighted according to NBRO-Sri Lanka criteria. The study's methodology demonstrates the potential of geospatial tools to assess landslide risk, offering critical insights for urban planning and disaster mitigation in high-risk zones.

Wickramasooriya, A., & Dilini, S. (2022). Geoinformatics approach to classifying landslide hazard in The Hantana Mountain and its vicinity in Sri Lanka. IOP Conference Series: Earth and Environmental Science, 1109(1), 12019. https://doi.org/10.1088/1755-1315/1109/1/012019