Document Type
Conference Proceeding
Publication Date
8-2025
Abstract
This study presents a GIS-based multi-criteria decision-making framework to assess climate-induced migration risk along the West African coast. We developed a comprehensive risk index that integrates environmental hazards such as flood frequency and socio-economic vulnerability indicators, including poverty levels, population density, and adaptive capacity. By utilizing datasets such as the Geocoded Disasters (GDIS) dataset, Social Vulnerability Index (SVI), Poverty and Adaptive Capacity Index (PACI), and the Population Exposure Index (PEI), the study identifies regions most susceptible to displacement. Results reveal that areas like Benin’s Abomey-Calavi, Cotonou, and Akpo-Misserete are especially vulnerable due to high disaster frequency, substantial population exposure, and limited adaptive capacity. These findings offer vital insights for policymakers and humanitarian organizations to prioritize climate adaptation strategies and mitigate the risks of climate-induced migration in West Africa.
Recommended Citation
W. Li, S. Maharjan and H. El-Askary, "Assessing Coastal Vulnerability and Climate-Driven Migration Risk in West Africa," IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 1545-1549, https://doi.org/10.1109/IGARSS55030.2025.11243293.
Copyright
© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Included in
Climate Commons, Environmental Indicators and Impact Assessment Commons, Environmental Monitoring Commons, Remote Sensing Commons
Comments
This is a pre-copy-editing, author-produced PDF of an article accepted for publication in IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium in 2025. This article may not exactly replicate the final published version. The definitive publisher-authenticated version is available online at https://doi.org/10.1109/IGARSS55030.2025.11243293