Retrieving shallow stream bathymetry from UAV-assisted RGB imagery using a geospatial regression method

Kim, Jun Song; Baek, Donghae; Seo, Il Won; Shin, Jaehyun

doi:10.1016/j.geomorph.2019.05.016

Cited by 37 publications

(26 citation statements)

References 59 publications

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“…The water course selected for testing is characterised by high water transparency, which can also affect the accuracy of bathymetric measurements. The use of UAVs for bathymetric measurements at low water levels in the Świder River looks promising using Kim, Baek, Seo, and Shin (2019) methodology. In the future, measurement campaigns are planned for obtaining bathymetric data from UAVs.…”

Section: Resultsmentioning

confidence: 99%

The use of unmanned aerial vehicles in flood hazard assessment

Karamuz

Romanowicz

Doroszkiewicz

2020

J Flood Risk Management

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Flood inundation models are central components of any flood risk analysis system because they transform the bulk discharge outputs from flood-frequency analyses or rainfall-runoff models into distributed predictions of flood hazard in terms of water depth, inundation extent, and flow velocity. The accuracy of flood hazard maps depends on the availability of distributed observations of inundation outlines. Unfortunately, the acquisition of aerial photographs or satellite images is costly and in addition, their temporal resolution is strongly limited by weather conditions. Remote sensing based on unmanned aerial vehicles (UAV) is becoming increasingly popular due its flexibility and quickly decreasing costs. In particular, UAV can provide precise up to date georeferenced information about the location of a river shorelines, channel geometry, and vegetation. This information is particularly useful for the calibration and validation of distributed flood routing models. The application of cheap, well georeferenced UAV images of river shorelines is an unprecedented source of distributed observations. The aim of this article is to present a procedure for the updating of boundary conditions of the hydrodynamic model, based on UAV-born data. The approach proposed is also a very effective means of on-line updating of flood risk maps and their verification.

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Section: Resultsmentioning

confidence: 99%

The use of unmanned aerial vehicles in flood hazard assessment

Karamuz

Romanowicz

Doroszkiewicz

2020

J Flood Risk Management

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“…Finally, it should be noted that many studies on bathymetric reconstruction of shallow streams and reservoirs proved that models derived from high resolution UAS data are more robust than previous models based on conventional methods, reducing inaccuracies and biases, and enabling better hydraulic modeling performance [63][64][65][66].…”

Section: Bathymetry and Submerged Topographymentioning

confidence: 99%

Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review

et al. 2021

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In less than two decades, UASs (unmanned aerial systems) have revolutionized the field of hydrology, bridging the gap between traditional satellite observations and ground-based measurements and allowing the limitations of manned aircraft to be overcome. With unparalleled spatial and temporal resolutions and product-tailoring possibilities, UAS are contributing to the acquisition of large volumes of data on water bodies, submerged parameters and their interactions in different hydrological contexts and in inaccessible or hazardous locations. This paper provides a comprehensive review of 122 works on the applications of UASs in surface water and groundwater research with a purpose-oriented approach. Concretely, the review addresses: (i) the current applications of UAS in surface and groundwater studies, (ii) the type of platforms and sensors mainly used in these tasks, (iii) types of products generated from UAS-borne data, (iv) the associated advantages and limitations, and (v) knowledge gaps and future prospects of UASs application in hydrology. The first aim of this review is to serve as a reference or introductory document for all researchers and water managers who are interested in embracing this novel technology. The second aim is to unify in a single document all the possibilities, potential approaches and results obtained by different authors through the implementation of UASs.

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“…In consequence of the model validation results, the study domains of the generated channels are discretized with structured cells of 629 × 24 × 14 grid resolution following the same resolution as that of the validation case, as depicted in Figure 1. This grid discretization satisfies that the dimensionless wall height between 82.7 and 111.1 falls within 30 200 z   , which condition is prerequisite for In consequence of the model validation results, the study domains of the generated channels are discretized with structured cells of 629 × 24 × 14 grid resolution following the same resolution as that of the validation case, as depicted in Figure 1. This grid discretization satisfies that the dimensionless wall height between 82.7 and 111.1 falls within 30 < z + < 200, which condition is prerequisite for using wall functions for the solid-fluid boundaries of sidewalls and a channel bed.…”

Section: Computational Setupsmentioning

confidence: 99%

“…In rivers and streams, the flow separation is frequently observed owing to the intricate flow patterns associated with geomorphic features of rivers, such as confluence, pool-riffle sequence, bifurcation, and meander [29,30]. Notably, the experimental studies of Blanckaert [31][32][33] revealed that sharp channel curvature forms a pronounced flow separation near the bend apex because of significant adverse pressure gradients, and this curvature-induced flow separation manifests as a recirculation zone in the horizontal plane.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Impact of Turbulence Closure Models on Solute Transport Simulations in Meandering Open Channels

2020

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River meanders form complex 3D flow patterns, including secondary flows and flow separation. In particular, the flow separation traps solutes and delays their transport via storage effects associated with recirculating flows. The simulation of the separated flows highly relies in the performance of turbulence models. Thus, these closure schemes can control dispersion behaviors simulated in rivers. This study performs 3D simulations to quantify the impact of the turbulence models on solute transport simulations in channels under different sinuosity conditions. The 3D Reynolds-averaged Navier-Stokes equations coupled with the k − ε , k − ω and SST k − ω models are adopted for flow simulations. The 3D Lagrangian particle-tracking model simulates solute transport. An increase in sinuosity causes strong transverse gradients of mean velocity, thereby driving the onset of the separated flow recirculation along the outer bank. Here, the onset and extent of the flow separation are strongly influenced by the turbulence models. The k − ε model fails to reproduce the flow separation or underestimates its size. As a result, the k − ε model yields residence times shorter than those of other models. In contrast, the SST k − ω model exhibits a strong tailing of breakthrough curves by generating more pronounced flow separation.

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Retrieving shallow stream bathymetry from UAV-assisted RGB imagery using a geospatial regression method

Cited by 37 publications

References 59 publications

The use of unmanned aerial vehicles in flood hazard assessment

The use of unmanned aerial vehicles in flood hazard assessment

Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review

Evaluating the Impact of Turbulence Closure Models on Solute Transport Simulations in Meandering Open Channels

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