Probabilistic Approaches and Landslide Susceptibility

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


The present study is associated with the implication of weight of evidence model and certainty factor model to prepare landslide susceptibility maps of the Balason river basin of Darjeeling Himalaya using data layers of elevation, slope, aspect, curvature, geology, geomorphology, soil, distance to lineament, lineament density, drainage density, distance to drainage, stream power index (SPI), topographic wetness index (TWI), land use and land cover (LULC) and NDVU in ARC GIS 10.1. The developed landslide susceptibility map was classified in five i.e. very low, low, moderate, high and very high landslide susceptibility. The prepared landslide susceptibility maps were also validated using ROC curve which stated that certainty factor mode is best suited for developing landslide susceptibility zonation map of the Balason river basin of Darjeeling Himalaya.


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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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