Flood modelling and mapping typically entail flood frequency estimation, hydrodynamic
modelling and inundation mapping, which require specific datasets that are often …

Consistent data are seldom available for whole-catchment flood modelling in many
developing regions, hence this study aimed to explore an integrated approach for flood …

In ungauged basin, space-based information is essential for the monitoring of hydrological
water cycle, in particular in regions undergoing large flood events where satellite data may …

Availability and applications of open-source data for disaster risk reductions are increasing.
Flood hazards are a constant threat to local communities and infrastructures (eg, built-up …

The topography of many floodplains in the developed world has now been surveyed with
high resolution sensors such as airborne LiDAR (Light Detection and Ranging), giving …

Floods are one of the most widely distributed hazards around the world and their
management is an important issue of concern among all the stakeholders. The aim of this …

Sustainable water management is one of the important priorities set out in the Sustainable
Development Goals (SDGs) of the United Nations, which calls for efficient use of natural …

Floods are among the most catastrophic natural disasters around the globe impacting
human lives and infrastructure. Implementation of a flood prediction system can potentially …

Abstract The Hispaniola Island, in the Caribbean tropical zone, is prone to extreme flood
events. Floods are caused by tropical springs and hurricanes and may lead to human …

This Special Issue is a collection of papers studying the use of remote sensing data and
methods for flood monitoring and management. The articles contributed span a wide range …