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.