Factor’s Clustering and Identification of Suitable Factor’s Group Model in Landslide Susceptibility

  • Sujit MandalEmail author
  • Subrata Mondal
Part of the Environmental Science and Engineering book series (ESE)


The present study attempts to assess geo-spatial distribution of landslide susceptibility in the Balason river basin of Darjeeling Himalaya using clustering of various factors i.e. geomorphological factors, lithological factors group, hydrological factors, triggering factor, protective factor and anthropogenic factor. The geomorphological factors, lithological factors group, hydrological factors, triggering factor, protective factor and anthropogenic factor were being integrated with the help of geomorphological factor group model, lithological factor group model, hydrological factor group model, triggering factor group model, protective factor group model and anthropogenic factor group model. To prepare data layers such as elevation, slope, aspect, curvature, geology, geomorphology, soil, drainage density, distance to drainage, lineament density, distance to lineament, stream power index, topographic wetness index, NDVI and LULC Google earth, topographical maps, SRTM DEM, satellite images were processed properly in GIS environment.


Factor’s group Landslide susceptibility Factor’s group models 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of GeographyDiamond Harbour Women’s UniversityDiamond HarbourIndia
  2. 2.Bajitpur High SchoolGangarampurIndia

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