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Author

M. Gebreslasie

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Open access Aug 2026

Flood risk modeling for Kisumu County, Kenya: integrating multi-source geospatial data and machine learning

Flooding poses an escalating threat to Kisumu County, Kenya, driven by climate change and rapid urbanization. This study develops an integrated framework combining remote sensing, GIS, and machine learning for flood risk mapping and forecasting using multi‐source geospatial data (Sentinel‐1 SAR, Landsat 8, S...

Herine Auma, M. Gebreslasie, A. Osio · 0 citations
Review Open access Aug 2026

Deep learning techniques for extreme rainfall prediction: a review of state-of-the-art

The analysis reveals a transition from deterministic DI models to hybrid, physics-informed, uncertainty-aware, and operational forecasting systems that increasingly integrate AI with physical knowledge and heterogeneous environmental observations.

Braiton U. Mukhalela, S. Viriri, D. Ndzi et al. · 0 citations
Review Open access Jul 2026

Flood modelling and flood decision making: a scoping review of the progress of flood technologies and applications

Flood intensity and frequency are expected to continue rising due to climate change, necessitating improved prevention measures. Despite the growing body of research, communities and economies remain severely affected by the consequences of floods, underscoring the need to examine how flood models are understood and tr...

Irvin D. Shandu, M. Gebreslasie, Sifiso Xulu et al. · 0 citations

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