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Yasir Aldabbagh

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Open access Aug 2026

Modeling Urban Population Dynamics Using Spatial Deep Learning: A Comparative Framework for Baghdad and Basra

This study compares Linear Regression, Random Forest (RF), CNN, and Conv1D-LSTM+Attention for estimating WorldPop-derived population density on 500 m grids in Baghdad and Basra, Iraq (2015–2020). The raw panel contained 13,530 cell-year records, with 12,678 retained after excluding zero-population cells. Alongside conv...

Yasir Aldabbagh · 0 citations
Open access Sep 2026

Flood Hazard Assessment Using Multi-Criteria Analysis and Remote Sensing Data in Dwiridj Basin, Maysan Governorate, Southeastern Iraq

A Flood Hazard Assessment of the Dwiridj Basin area (approximately 3,537 km2 in the Maysan governorate of southernmost Iraq was done by the use of an expert-based, multicriteria, GIS-based approach that used Geographic Information Systems for spatial analysis. The five selected controlling criteria included Elevation,...

Yasir Aldabbagh · 0 citations
Aug 2026

Urban Ecological Drivers of CO₂ Intensity in Arid Cities: A Multi-Scale, VHR-based Analysis of Baghdad and Erbil

Urban areas in arid zones face distinct emissions challenges from rapid growth, high cooling demand and sparse vegetation cover, which limits the natural absorption of CO₂ and strains urban ecology. Using an integration of VHR satellite imagery with local socioeconomic and infrastructural data, this study presents a fr...

Yasir Aldabbagh · 0 citations

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