Potential Landslide Vulnerability Zonation Using Integrated Analytic Hierarchy Process and GIS Technique of Upper Rangit Catchment Area, West Sikkim, India

  • Subodh Chandra PalEmail author
  • Biswajit Das
  • Sadhan Malik
Research Article


Landslides have become a serious hazard in mountainous region where exhaustive storm rainfall is common. The intensity of landslide hazard is not only depending upon storm rainfall and physical factors but also depends upon several anthropogenic activities or land use practices. The aim and objective of this paper are to highlight the landslide vulnerability with the help of analytical hierarchy process and geographic information system (GIS) tools. Weighted overlay analysis method was used for assessing landslide vulnerability of upper Rangit catchment area, West Sikkim, India, within the GIS environment. Weights and rank are assigned on the basis of influence of landslide occurrence. Factors selected for this study include rock type, geomorphology, slope, aspect, drainage density, soil type and land use and land cover. The landslide vulnerability map will provide valuable information to the local government for planning and management in future. Higher weight was assigned for greater influence and lower weight was assigned for lesser influence of landslide. Southern part and middle part of the region have very high vulnerability of landslide in comparison with the northern region, but the region having much anthropogenic activities towards the south became more vulnerable. It has been observed that 38.48% of the area is at very low vulnerability, 32.26% is at low vulnerability, 18.16% at medium vulnerability, 8.56% at high vulnerability and 2.53% at very high vulnerability.


Landslide vulnerability mapping Analytical hierarchy process Remote sensing Geographic information system 



Authors are grateful to Vinay Kumar Dadhwal, Section Editor, Journal of the Indian Society of Remote Sensing, and anonymous reviewers for their valuable suggestions in regard to the improvement of this research article. The authors are also grateful to the Department of Geography, The University of Burdwan, for providing the infrastructural facilities and at the same time thankful to the students of special paper Geomorphology of the session of 2014–2016 for helping in the field work. We are thankful to the different government and non-government authorities for providing the useful data. We are also thankful to those people who helped in different stages of this work.


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Copyright information

© Indian Society of Remote Sensing 2019

Authors and Affiliations

  • Subodh Chandra Pal
    • 1
    Email author
  • Biswajit Das
    • 1
  • Sadhan Malik
    • 1
  1. 1.Department of GeographyThe University of BurdwanBurdwanIndia

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