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Open access
Sep 2026
Leveraging GIS-based multi-criteria analysis for flood-prone area detection in Nsanje District, Malawi
Flooding remains one of the most severe and recurrent natural hazards in sub-Saharan Africa, posing persistent threats to rural livelihoods, infrastructure, and environmental stability. In Malawi, the Lower Shire River Valley, particularly Nsanje district, is highly vulnerable to recurrent flooding due to climatic vari...
Charles Bakolo, L. Ngwira, Kennedy Nazombe et al.
· PLoS ONE · 0 citations
Open access
Aug 2026
Integrating the Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) for flood susceptibility mapping in Sunamganj district
Flood susceptibility mapping is vital for disaster risk reduction in Bangladesh’s northeastern region, where recurrent floods severely affect livelihoods and ecosystems. The study focuses on the Sunamganj district in Bangladesh, one of the most flood-prone areas in the country because of its low-lying terrain, proximit...
Zahid Hassan Shaon, Mohammad Ismail Hossain, Md Refath Hossan
· Discover Hazards · 0 citations
Open access
Aug 2026
Integrating remote sensing and machine learning for flood hazard zonation in Gomati district of Tripura, Northeast India
The integrated methodology demonstrates the potential of combining SAR data and ML techniques for reliable flood susceptibility assessment, providing a replicable framework for other flood-prone regions.
Sah Kausar Reza, J. Chakraborty, S. Chattaraj et al.
· Discover Environment · 1 citation
Open access
Sep 2026
Spatial Assessment of Flood Susceptibility Using Remote Sensing and AHP-Based Multi-Criteria Analysis: A Case Study of the Mekerra Wadi Watershed (Algeria)
Floods are among the most destructive natural hazards worldwide, causing significant environmental degradation, economic losses, and social disruption. This study aims to delineate flood-susceptible zones within the Mekerra Wadi Watershed in northwestern Algeria by applying an integrated approach combining remote sensi...
Omar Djoukbala, Salim Djerbouai, Samra Harkat et al.
· GeoHazards · 0 citations
Open access
Sep 2026
Flood Vulnerability and Risk Assessment of Onitsha, Anambra State Using Remote Sensing and GIS: AHP Method
Flooding remains one of the most devastating natural hazards affecting both rural and urban communities in Nigeria, resulting in the loss of lives, destruction of property, disruption of socioeconomic activities, and environmental degradation. Onitsha, Anambra State, is particularly vulnerable to recurrent flooding due...
Adeboboye Aj, Aro E.-M., Onyedire Nj et al.
· International Journal of Adv... · 0 citations
Open access
Sep 2026
A high-resolution global flood susceptibility dataset derived from multi-source earth observation and geospatial data
Floods are among the most damaging disasters worldwide, necessitating high-resolution modeling of where terrain and environmental conditions predispose societies to flooding. While geospatial data are invaluable for flood susceptibility mapping, comprehensive and globally consistent datasets remain scarce. We present...
M. Waleed, Muhammad Sajjad, Sami G. Al-Ghamdi et al.
· Scientific Data · 0 citations