Synchronising the Hydraulics Model Builder and NDWI Indexes in Remote Sensing Techniques  to estimate accurate Flood Hazard from Satellite Images

Khanssaa M. Abdul Majed; Shahad Mahgoob Nafl; Karam J. mohammed; Hanif Baharin Abed; Puteri N.E. Nohuddin

doi:10.58564/IJSER.5.3.2026.372

Authors

Khanssaa M. Abdul Majed Space Centre Technology, Scientific Research Commission, Baghdad, Iraq
Shahad Mahgoob Nafl College of Medicine, University of Baghdad, Iraq
Karam J. mohammed 3Space Centre Technology, Scientific Research Commission, Baghdad, Iraq
Hanif Baharin Abed Institute of Visual Informatics, Universiti Kebangsaan Malaysia, Malaysia
Puteri N.E. Nohuddin Higher Colleges of Technology, Sharjah, UAE

DOI:

https://doi.org/10.58564/IJSER.5.3.2026.372

Keywords:

Al-Shirqat region, Water resources, Flood hazard, Landsat 8 OLI, (HDM)

Abstract

Water resources are an important natural resource that sustains life and supports the growth of society and an economy. However, it remains an unusual resource that is not always available at the same time or in the same place. Climate change and global warming have worsened extreme weather events, such as heavy rain and flooding, in many parts of the world over the last few decades. This study aims to identify and map regions in Al-Shirqat at risk of flooding through analysis of Landsat 8 OLI data. A Hydraulics Model (HDM) was a distinct structural modelling tool within the ArcGIS environment that utilised the Python programming language to compute water depths from Digital Elevation Model (DEM) data. This suggested method improves standard analytical methods, which involve analysing images for the Normalised Difference Water Index (NDWI). This study’s findings offer a pragmatic approach for enhancing flood risk evaluation and water resource management in analogous geographical contexts.

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