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GIS-based landslide susceptibility zonation (LSZ) mapping of Darjeeling Himalaya, India using weights of evidence (WoE) model

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Abstract

The present study addresses the application of weight of evidence (WoE) model (probabilistic approach) to identify the spatial distribution of landslide susceptibility (LS) in Darjeeling Himalaya, Eastern India. Fifteen triggering factors of landslide such as elevation, geology, slope angle, slope curvature, soil, slope aspect, drainage density, lineament density, distance to drainage, distance to lineament, topographic wetness index (TWI), normalized differential vegetation index (NDVI), stream power index (SPI), land use land cover (LULC) and rainfall were considered as spatial database to perform WoE model using remote sensing (RS) and geographic information system (GIS) and to develop landslide susceptibility zonation (LSZ) map. The relative importance of weights of each factor was calculated using the WoE method. The LSZ map depicted that very low (VL), low (L), moderate (M), high (H) and very high (VH) LS zones cover an area of 3.33%, 8.46%, 29.94%, 38.07% and 20.20% respectively. Two thousand seventy-nine landslide locations have been identified and considered to perform the accuracy of the study. The receiver operating characteristics (ROC) curve resulted in 78.90% prediction accuracy with and area ratio of 0.7890 which recognised WoE model as a significant statistical model for LS mapping for Darjeeling Himalaya. Very low to very high LS zones registered with the frequency ratio (FR) of 0.00, 0.21, 0.36, 0.85 and 2.73 respectively, which is positively correlated to landslides. The outcome of the study will be very helpful to the planners and policy makers for implementing effective measures to mitigate landslides hazards in Darjeeling Himalaya.

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Acknowledgements

The authors would like to express their sincere thanks and gratitude to SOI, GSI, USGS and NBSS & LUP for providing necessary data, facilities and support during the current study. There is no funding agency for this research.

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  1. Department of Geography, The University of Burdwan, Golapbag, Bardhaman, 713104, West Bengal, India

    Biplab Mandal

  2. Department of Geography, A.B.N. Seal College, Cooch Behar, West Bengal, 736101, India

    Subrata Mondal

  3. Department of Geography, Diamond Harbour Women’s University, Sarisha, West Bengal, 743368, India

    Sujit Mandal

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Mandal, B., Mondal, S. & Mandal, S. GIS-based landslide susceptibility zonation (LSZ) mapping of Darjeeling Himalaya, India using weights of evidence (WoE) model. Arab J Geosci 16, 421 (2023). https://doi.org/10.1007/s12517-023-11523-w

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