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GIS-based landslide susceptibility mapping method and Shannon entropy model: a case study on Sakaleshapur Taluk, Western Ghats, Karnataka, India

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Abstract

Landslides are one of the most prevalent natural hazards, and they have significant socioeconomic consequences all around the world. Heavy rainfall is one of the main causes of landslides and thus extremely typical phenomena in the steep terrain of the Western Ghats area. Landslides are less common in the Western Ghats region of Karnataka province than they have been in the Himalayan regions. The study aims to categorize landslide-prone regions using the Shannon entropy (SE) approach in combination with remote sensing and GIS techniques. All thematic layers were measured using the SE model and then weighted into three categories: low, moderate, and high landslide-susceptible zones (LSZ). According to the Shannon entropy value, the most important variable for a landslide is the distance from drainage, followed by drainage density, slope, rainfall, and soil in the research region. The landslide point and landslide density of the study region were used to validate the study. Residents and the study region’s authorities may find the final landslide susceptibility maps informative.

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Acknowledgements

The first author would like to thanks ICSSR (Indian Council for Social Science Research, Ministry of Home Affairs, Government of India) for financial support, and thanks to the Center for Natural Hazards and Disaster Studies, University of Madras, Chennai, Tamil Nadu. The authors would like to thank the editors and the reviewers for their valuable contributions.

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Authors and Affiliations

  1. Center for Natural Hazards and Disaster Studies, University of Madras, Chennai, Tamilnadu, 600005, India

    Aneesah Rahaman & Madha Suresh Venkatesan

  2. MOE Key Laboratory of Western China’s Environmental System, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, People’s Republic of China

    Ramamoorthy Ayyamperumal

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  1. Aneesah Rahaman
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  2. Madha Suresh Venkatesan
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  3. Ramamoorthy Ayyamperumal
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Correspondence to Aneesah Rahaman or Ramamoorthy Ayyamperumal.

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We declare that this manuscript has not been previously published and is not under consideration for publication elsewhere, and that its publication is approved by all authors. All authors have contributed sufficiently to the paper to be included as authors.

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Responsible Editor: Venkatramanan Senapathi

This article is part of the Topical Collection on Recent advanced techniques in water resources management

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Rahaman, A., Venkatesan, M.S. & Ayyamperumal, R. GIS-based landslide susceptibility mapping method and Shannon entropy model: a case study on Sakaleshapur Taluk, Western Ghats, Karnataka, India. Arab J Geosci 14, 2154 (2021). https://doi.org/10.1007/s12517-021-08422-3

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