Subject Area
Civil and Environmental Engineering
Article Type
Original Study
Abstract
The Kurdistan Region of Iraq (KRI) faced significant drought challenges due to global and environmental changes, necessitating drought assessments. Advanced techniques of remote sensing, Geographic Information Systems (GIS), and Analytic Hierarchy Process (AHP) were combined in this research to perform drought vulnerability zonation for KRI. Average annual rainfall, Average number of rainy days, Average annual temperature, slope, elevation, normalised difference water index (NDWI), normalised difference vegetation index (NDVI), land surface temperature (LST), and temperature condition index (TCI) were selected as contributing parameters for drought vulnerability assessments. The considered parameters were weighted using pairwise comparison, and thematic maps were created to generate a drought vulnerability zonation map for KRI. The results were categorised into five drought vulnerability levels: very low, low, medium, high, and very high. The findings showed that 9050.25 km² (19.7%) of the area and 12 (15.6%) zones of KRI were identified as regions with very high vulnerability to drought, suggesting a critical need for targeted mitigation strategies. This study notably aids sustainable environmental management and provides important information to help policymakers implement regional drought mitigation measures.
Keywords
Drought vulnerability Zonation, Remote Sensing Drought, Geographic Information System, Analytic Hierarchy Process, Multi-Criteria Decision Analysis
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Chomani, Kaifi Fakhir
(2026)
"A Hybrid Geospatial and Remote Sensing Methodology for Drought Vulnerability Assessment in Semi-Arid Ecosystems,"
Mansoura Engineering Journal: Vol. 51
:
Iss.
5
, Article 10.
Available at:
https://doi.org/10.58491/2735-4202.3477
Included in
Architecture Commons, Engineering Commons, Life Sciences Commons



