Landslides are the most common natural hazard in the Himalayan regions triggered by many factors such as complex topography, bedrock lithological formation, climatic factors, soil characteristics, land use patterns, vegetation loss, hydrogeological characteristics, slope failure, and infrastructure development. In the recent past large number of landslide events were reported from the whole Himalayan region and pose a very significant threat not only to the socio-economic development in an area but also to the life and livelihood of the communities residing in mountainous regions. Geospatial technology has a great role in mapping the landslide vulnerable zones accurately and its management. In the present work total of 09 landslide-conditioning factors slope, elevation, aspect, geology geomorphology, TWI, SPI, LULC, and NDVI were evaluated and mapped through the use of satellite data and field data. Landslide-conditioning factors were properly checked and verified with the ground data and landslide inventory map of the area, thereafter all the contributing factors were assigned the suitable weight and ranking as per their importance in landslide occurrence using frequency ratio (FR), a statistical model to develop the susceptibility assessment. The developed susceptible zone re-classified into three zones low, moderate, and high. The classified zones were validated through the Google images and landslide inventory data of the area.