This study develops an interpretable and validated XGBoost–SHAP framework integrating multisource geospatial data and historical flood observations, with model performance evaluated using independent validation and future projections driven by bias-corrected CMIP6 climate scenarios to characterize the spatiotemporal va...
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...
This study proposes a fully unsupervised, training-free framework for rapid depth estimation of standing or slowly receding residual floodwater using post-event remote sensing imagery and DTMs, and offers a scalable, rapidly deployable solution for first-order flood mapping and depth estimation.
The Swat River Basin (SRB), a mountainous sub-catchment of the Indus Basin, has faced frequent floods in the past 25 years. Limited structural and non-structural measures, such as flood risk mapping, early warning systems, and land use planning, continue to expose the SRB. This study assessed and mapped riverine floo...
Flood routing in ephemeral streams of arid regions is characterized by high uncertainty due to limited data, variable transmission losses, and the transient nature of flow events. To address these challenges, this study introduces a newly developed convection–decay-based flood routing model that captures both the trans...
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