International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

AI-Enhanced Landslide Susceptibility Mapping Using Remote Sensing and GIS in the Himalayan Region

Abstract

Landslides are a major concern in mountainous regions, especially across the Himalayas, due to their destructive impact on communities, infrastructure, and the environment. Increasing urban development and unpredictable weather patterns have heightened the urgency for reliable landslide susceptibility assessments. This paper reviews research published between 2020 and 2025, focusing on how remote sensing (RS) and geographic information systems (GIS) have been used to identify zones at risk. The review covers the use of topographical, hydrological, and land use data in mapping and analyzing vulnerable areas. Findings indicate that slope steepness, land cover change, and human activities are primary contributors to slope failure. The combination of RS and GIS has proven to be an effective and affordable method for generating region-wide landslide hazard maps.

Country : India

1 Er. Manpreet Singh2 Dr. Vijay Dhir

  1. Ph.D. Scholar, Department of Computer Science Engineering & Technology, Sant Baba Bhag Singh University, Jalandhar, Punjab, India
  2. Professor, Department of Computer Science Engineering & Technology, Sant Baba Bhag Singh University, Jalandhar, Punjab, India

IRJIET, Volume 9, Issue 6, June 2025 pp. 295-301

doi.org/10.47001/IRJIET/2025.906040

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