Land Use/Land Cover (LULC) change detection is fundamental for understanding landscape dynamics and supporting sustainable environmental management, particularly in ecologically sensitive and transboundary conservation areas such as Kruger National Park, South Africa. Rapid urban expansion, agricultural intensification...
Oscar Z. Gwala, Mohammed B. Altoom, Abel Rameolo et al.· Frontiers in Remote Sensing· 0 citations
An integrated framework combining remote sensing, GIS, and machine learning for flood risk mapping and forecasting using multi‐source geospatial data and meteorological data is developed and validated, providing a replicable, data‐driven methodology for flood risk assessment in data‐scarce regions globally.
Herine Auma, M. Gebreslasie, A. Osio· Frontiers in Environmental S...· 0 citations
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.· Frontiers in Artificial Inte...· 0 citations
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.· Frontiers in Water· 0 citations
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