Over the past 10 years, urban floods have increased in frequency because of extreme
rainfall events and urbanization development. To reduce the losses caused by floods …

Floods are the most common type of natural hazard causing economic and human losses.
Mapping the susceptibility to flooding is essential for the effective management of flood risk …

Rainfall-triggered flood and landslide hazards pose significant threats to human lives and
infrastructure worldwide. This study aims to evaluate the applicability of three satellite rainfall …

This study presents a deep-learning-based forecast model for spatial and temporal
prediction of pluvial flooding. The developed model can produce the flooding situation for …

This study aims to systematically evaluate the accuracy and applicability of GPM satellite
precipitation products (IMERG-E, IMERG-L, and IMERG-F) with varying time lags at different …

Remote sensing plays a central role in the assessment of environmental phenomena and
has increasingly become a powerful tool for monitoring shorelines, river morphology, flood …

The SCS curve number (SCS-CN) method has gained widespread popularity for simulating
rainfall excess in various rainfall events due to its simplicity and practicality. However, it …

Arid regions are prone to unprecedented extreme rainfall events that often result in severe
flash floods. Using near-real-time precipitation data in hydrological modelling can aid in …

Sufficient historical flood inventory data (FID) are crucial for accurately predicting flood
susceptibility using supervised machine learning models. However, historical FID are …

With the acceleration of urbanization in a river basin, the changes in the underlying surface
structure of the basin are more and more intense, which causes frequent floods. This article …