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February 5, 20260 citations

AHP-based geospatial analysis for landslide susceptibility zonation in Wayanad District

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TITharayil IrshadHTHarikrishnan TMBMahalingam Bose

Key Points

  • This research aims to assess landslide susceptibility in Wayanad District using geospatial techniques.
  • Utilized secondary data from Landsat-8 satellite images and Geological Survey of India (GSI).
  • Employed the Analytical Hierarchy Process (AHP) to assign weights to 13 parameters influencing landslides.
  • Analyzed conditioning factors affecting landslide occurrences like rainfall and land cover changes.
  • Validated the final zonation map with landslide inventory points.
  • Identified rainfall as the primary factor influencing landslides in Wayanad District.
  • Created a detailed landslide susceptibility zonation map showing areas of high and low risk.
  • The study's methodology improved the accuracy of landslide prediction through weighted parameters.

Abstract

Landslide susceptibility zonation mapping is a decision-making process that entirely depends upon the land use and land cover changes from one point to another. The accuracy and precision of the study related to the quality of the parameters used to determine the occurrence and intensity of the landslides. This study acquired secondary data from Landsat-8 satellite images and GSI (Geological Survey of India). The landslide conditioning factor was assigned with the help of the semi-quantitative Analytical Hierarchy Process (AHP) Technique. In this current study, 13 parameters were analyzed. Each parameter is responsible for landslides in a low or high influence grade. Each parameter was designed to have a particular weight based on its influence on landslide occurrence. Rainfall is the prime factor for the landslides in the Wayanad district. The final landslide susceptibility zonation map was validated using appropriate mathematical treatment to check their correctness with the help of landslide inventory points.

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Cite This Study

Irshad et al. (2025) studied this question.

synapsesocial.com/papers/6984348bf1d9ada3c1fb2d31https://doi.org/10.1051/e3sconf/202560401004/pdf
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