Kumar, Ritesh and Chakrabarty, Gaurav and Roy, Sanjay Kumar and Varwade, Kartik and Singh, Anand and Kumar, Manish and Mahato, Swapan (2025) Remote Sensing and GIS Applications in Managing Landslides along National Highways in India: A Focus on Himalayan Regions. Middle East Journal of Applied Science & Technology (MEJAST) , 8 (3). pp. 37-55.

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Abstract

This study presents a comprehensive review of landslides along National Highways in India, with a particular focus on the Himalayan Belt. By examining events over the past seven years, the paper delves into key drivers behind these frequent landslides and explores the efficacy of Remote Sensing (RS) and Geographic Information Systems (GIS) in landslide prediction and management. It is anticipated that the integration of these advanced tools will improve hazard assessments, enable precise interventions, and ultimately mitigate the socio-economic impacts of landslides. The study draws on publicly available data and aims to uncover gaps in the existing research on Indian landslides. Emphasizing an innovative approach, the paper proposes enhanced prediction methods to mitigate both direct and indirect losses resulting from landslides. These suggestions are grounded in the socio-economic realities of the affected regions.

Item Type:	Article
Uncontrolled Keywords:	Landslide; National Highway; Remote Sensing; Geographic Information Systems (GIS); Hazard; Prediction; Mitigation; Disaster Management; Himalayan Region; Landslide Susceptibility Map.
Subjects:	Slope Stability
Divisions:	UNSPECIFIED
Depositing User:	Mr. B. R. Panduranga
Date Deposited:	12 Mar 2026 06:06
Last Modified:	12 Mar 2026 06:06
URI:	https://cimfr.csircentral.net/id/eprint/2945

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