Flood inundation prediction
PD Bates - Annual Review of Fluid Mechanics, 2022 - annualreviews.org
Every year flood events lead to thousands of casualties and significant economic damage.
Mapping the areas at risk of flooding is critical to reducing these losses, yet until the last few …
Mapping the areas at risk of flooding is critical to reducing these losses, yet until the last few …
Remote sensing-derived water extent and level to constrain hydraulic flood forecasting models: Opportunities and challenges
Accurate, precise and timely forecasts of flood wave arrival time, depth and velocity at each
point of the floodplain are essential to reduce damage and save lives. Current computational …
point of the floodplain are essential to reduce damage and save lives. Current computational …
[HTML][HTML] Understanding the effects of Digital Elevation Model resolution in urban fluvial flood modelling
With the extensive use of 2D flood models, the resolution and quality of Digital Elevation
Models (DEMs) have come under greater focus especially in urban hydrology. One of the …
Models (DEMs) have come under greater focus especially in urban hydrology. One of the …
Mapping floods from remote sensing data and quantifying the effects of surface obstruction by clouds and vegetation
Floods are one of the most devastating natural calamities affecting millions of people and
causing damage all around the globe. Flood models and remote sensing imagery are often …
causing damage all around the globe. Flood models and remote sensing imagery are often …
An intercomparison of remote sensing river discharge estimation algorithms from measurements of river height, width, and slope
Abstract The Surface Water and Ocean Topography (SWOT) satellite mission planned for
launch in 2020 will map river elevations and inundated area globally for rivers> 100 m wide …
launch in 2020 will map river elevations and inundated area globally for rivers> 100 m wide …
A review of low‐cost space‐borne data for flood modelling: topography, flood extent and water level
During the last two decades, remote sensing data have led to tremendous progress in
advancing flood inundation modelling. In particular, low‐cost space‐borne data can be …
advancing flood inundation modelling. In particular, low‐cost space‐borne data can be …
Quantifying the importance of spatial resolution and other factors through global sensitivity analysis of a flood inundation model
J Thomas Steven Savage, F Pianosi… - Water Resources …, 2016 - Wiley Online Library
Where high‐resolution topographic data are available, modelers are faced with the decision
of whether it is better to spend computational resource on resolving topography at finer …
of whether it is better to spend computational resource on resolving topography at finer …
Deep learning semantic segmentation for water level estimation using surveillance camera
The interest in visual-based surveillance systems, especially in natural disaster applications,
such as flood detection and monitoring, has increased due to the blooming of surveillance …
such as flood detection and monitoring, has increased due to the blooming of surveillance …
When does spatial resolution become spurious in probabilistic flood inundation predictions?
Advances in remote sensing have enabled hydraulic models to run at fine scale resolutions,
producing precise flood inundation predictions. However, running models at finer …
producing precise flood inundation predictions. However, running models at finer …
The use of remote sensing-derived water surface data for hydraulic model calibration
Considering a large satellite dataset (ie~ 16 years of ERS-2 and ENVISAT observations) we
investigate the reliability of remotely-sensed data for calibrating a quasi-two dimensional …
investigate the reliability of remotely-sensed data for calibrating a quasi-two dimensional …