Landslide Modeling and Susceptibility Mapping of Giri River Watershed, Himachal Pradesh (India)

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Author(s) Kuldeep Pareta | Upasana Pareta
Pages 91-104
Volume 1
Issue 2
Date February, 2012
Keywords Landslide model, vulnerability/susceptibility mapping, and remote sensing
Abstract

Landslides are one of the critical geological processes, which cause not only enormous damage to civil engineering structures i.e. roads, railways, bridges, dams, bio-engineering structures, and houses but also lead to loss of life. Hence, there is a need for landslide susceptibility mapping for identification of potential landslide areas. The present study is an attempt towards development of a landslide model/methodology by using GIS and remote sensing techniques for landslide susceptibility mapping. This involves the generation of thematic data layers and their spatial analysis within the Giri river watershed in Himachal Pradesh, India. Giri river watershed of Yamuna basin was selected for the model implementation. WorldView-02 MS and ResourceSAT-2 LISS-4 Mx satellite imageries, Survey of India topographical maps (1:50,000 scale), field data, and other informative maps were used as inputs to the study. Important terrain factors, contributing to landslide occurrences in the region, were identified and corresponding thematic data layers were generated. These data layers represent the soil, land use, geological, topographical, and hydrological conditions of the terrain. A numerical rating scheme for the factors was developed for spatial data analysis in a GIS. The resulting landslide susceptibility map delineates the area into different zones of four relative susceptibility classes: very high, high, moderate, and low. The very high susceptibility class has located in the Rawana, Jabyana, Gusan, Chandesh and Parar villages. The susceptibility map was corroborated by correlating the landslide frequencies of different classes. This has shown a close agreement with the existing field variability condition.

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