Floods are the leading cause of natural disaster damages in the United States, with billions
of dollars incurred every year in the form of government payouts, property damages, and …

The objective of this study is to predict the near-future flooding status of road segments
based on their own and adjacent road segments' current status through the use of deep …

Pluvial flash floods are fast-moving hazards and causes significant disruptions in urban
areas. With the increase in heavy precipitations, the ability to proactively identify flash floods …

This paper examines communities' accessibility to critical facilities such as hospitals,
emergency medical services, and emergency shelters when facing flooding. We use travel …

The computational expensiveness of the hydrodynamic models and the complexity of the
rainfall-runoff transformation process presents a pressing need to shift to machine learning …

This paper presents a regression model that quantifies the causal relationship between
flood risk factors and the flood insurance payout in the US The flood risk factors that have …

Numerous natural disasters that threaten people's lives and property occur in Indonesia.
Climate change-induced temperature increases are expected to affect the frequency of …

Due to extreme weather phenomena, precipitation-induced flooding has become a frequent,
widespread, and destructive natural disaster. Risk assessments of flooding have thus …

Satellite‐based optical video sensors are poised as the next frontier in remote sensing.
Satellite video offers the unique advantage of capturing the transient dynamics of floods with …

Storm surge and river runoff can result in compound flooding in coastal areas. The impact of
these events can be more significant than that generated by each component individually …