Flood Susceptibility Assessment using Remote Sensing and GIS: A Case Study of the 2025 Punjab Floods

Authors

  • Sapna Arora Research Scholar,Guru Nanak Dev University, Amritsar, India
  • Amandeep Kaur Assistant Professor, Guru Nanak Dev University, Amritsar, India
  • Malti Puri Assistant Prof, Khalsa College of Engineering and Technology, Amritsar, India

Keywords:

Flood, Remote sensing, GIS technology, Agriculture

Abstract

Natural disasters have become more common and destructive due to climate change, particularly in South Asia. Recent severe flooding has resulted in widespread relocation and financial loss in India. The 2025 floods in Punjab, which impacted every district, revealed significant weaknesses in health, education, infrastructure, and agriculture. Flood susceptibility modelling has become crucial for risk reduction because floods cannot be completely avoided. Effective tools for mapping flood-prone areas and assisting with data-driven disaster management are provided by remote sensing (RS) and GIS technology. This study
emphasises how crucial flood susceptibility assessments based on RS and GIS are for directing planning, mitigation, and long-term resilience initiatives.

Published

2026-01-09

Issue

Vol. 13 (2026): (Special Issue): Journal of Advanced Research in Alternative Energy, Environment and Ecology

Section

Review Article