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