The aim of this study is to generate reliable susceptibility maps using weights of rainfall events and landslide occurrence models based on (land-areabased/location) using geographic information system (GIS) and remote sensing for the NH 1D from Ganiwan to Gumri, Jammu, and Kashmir.At first, landslide locations were identified by earlier available reports, aerial photographs, and field surveys and a total of 221 landslides were mapped from Ganiwan to Gumri along NH 1D since 1992-2011 from different sources.The present study reveals that 114 landslide events were found to have a significant correlation with rainfall occurrence and remaining landslide episodes seem to have occurred due to lithology and slope factor.The landslides were categorized into five categories on the basis of the frequency of occurrence over a period of time from 1992 to 2011.The results of the statistical analysis with the general linear regression model showed that the maximum landslide occurrence is explained by rainfall increase except at ascertain point of time where landslide occurrence seems to be related to other factors as well.
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Nanda et al. (2017) studied this question.
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