Hydro‐morphological mapping of river reaches using videos captured with UAS

Eltner, Anette; Bertalan, László; Grundmann, Jens; Perks, Matthew; Lotsari, Eliisa

doi:10.1002/esp.5205

Cited by 25 publications

(31 citation statements)

References 67 publications

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“…Tese sensors have been used in the majority of the UAV-based WRMM studies. Tis includes water body mapping, river bathymetry determination [34], food mapping, riparian vegetation mapping [12], water quality mapping, and estimating soil water content [35]. Computer vision techniques fnd much utilization in deriving information from UAVacquired RGB data.…”

Section: Rgb Nir and Multi-spectral Cameras/opticalmentioning

confidence: 99%

“…Computer vision techniques fnd much utilization in deriving information from UAVacquired RGB data. Even video captured from cameras has been utilized in WRM applications [34].…”

Section: Rgb Nir and Multi-spectral Cameras/opticalmentioning

confidence: 99%

“…Te refraction efects that should be taken into account make it difcult to determine the bathymetric river area. Tere are multi-media photogrammetry techniques that consider compensation factors on every image perspective to reduce this inaccuracy [34]. Lejot et al [116] used image processing techniques such as median fltering, histogram matching, and sub-grouping of the images to remove these inaccuracies.…”

Section: Bathymetry Water Surface Elevation Surveymentioning

confidence: 99%

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Uncrewed Aerial Systems in Water Resource Management and Monitoring: A Review of Sensors, Applications, Software, and Issues

Mishra

Avtar

Prathiba

et al. 2023

Advances in Civil Engineering

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Uncrewed aerial systems (UASs) are becoming very popular in the domain of water resource mapping and management (WRMM). Being a cheaper and quicker option capable of providing high temporal and spatial resolution data, UAS has become a much sought-after platform for remote sensing. Still, their application in the field is in its early stage. This paper encompasses basic concepts of UAS, different payloads and sensor technologies available, various methodologies for its application in WRMM, different software available, and challenges associated with them, thus presenting a comprehensive review of multiple applications of UAS in different sub-domains of water resources. From cryosphere, rivers and lakes, and coastal areas to sub-surface water, as well as from water quality to wastewater management, the authors have discussed various applications of uncrewed aerial vehicles. At the end of the paper, the authors have identified the issues posing problems in the wider implementation of UAS in WRMM. Also, the future scope of the UAS in WRMM has been discussed.

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Section: Rgb Nir and Multi-spectral Cameras/opticalmentioning

confidence: 99%

“…Computer vision techniques fnd much utilization in deriving information from UAVacquired RGB data. Even video captured from cameras has been utilized in WRM applications [34].…”

Section: Rgb Nir and Multi-spectral Cameras/opticalmentioning

confidence: 99%

Section: Bathymetry Water Surface Elevation Surveymentioning

confidence: 99%

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Uncrewed Aerial Systems in Water Resource Management and Monitoring: A Review of Sensors, Applications, Software, and Issues

Mishra

Avtar

Prathiba

et al. 2023

Advances in Civil Engineering

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“…The computational engine underlying the approach outlined herein is a method called particle image velocimetry (PIV). Originally developed in a laboratory setting to support flume experiments, PIV has evolved rapidly over the past several decades and is now frequently applied to natural channels, where the non‐contact estimation of surface flow velocities is often referred to as large‐scale PIV, or LSPIV (e.g., Detert, 2021; Eltner et al., 2021; Muste et al., 2008; Perks, 2020; Tauro et al., 2016). However, most previous studies have examined relatively small streams using fixed, ground‐based cameras mounted on a bridge or bank or imaging systems deployed from small uncrewed aircraft systems (UAS).…”

Section: Introductionmentioning

confidence: 99%

Moving Aircraft River Velocimetry (MARV): Framework and Proof‐of‐Concept on the Tanana River

Legleiter

Kinzel

Laker

et al. 2023

Water Resources Research

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Information on velocity fields in rivers is critical for designing infrastructure, modeling contaminant transport, and assessing habitat. Although non‐contact approaches to measuring flow velocity are well established, these methods assume a stationary imaging platform. This study eliminates this constraint by introducing a framework for moving aircraft river velocimetry (MARV). The workflow takes as input images acquired from an airplane and involves orthorectification, frame overlap analysis, image enhancement, particle image velocimetry (PIV), and aggregation of the resulting velocity vectors onto a prediction grid. We also use new metrics to quantify the agreement between image‐derived and field‐measured velocity vectors in terms of both orientation and magnitude. The potential of MARV was evaluated using data from two Alaskan rivers: a large, highly turbid channel and its smaller, clearer tributary. Sediment boil vortices on the mainstem provided natural features trackable via PIV and estimated velocities corresponded closely with field measurements (R2 up to 0.911). We compared an exhaustive approach that evaluates overlap for all frame combinations to a simpler rolling window implementation and found that the more efficient algorithm did not compromise accuracy. Sensitivity analysis suggested that the method was robust to window parameterization. Comparing PIV output from different flying heights and imaging systems indicated that larger pixels led to higher accuracy and that a more advanced dual‐camera system provided superior performance. Results from the tributary were less encouraging, presumably due to a lack of trackable features in visible images. Testing across a range of rivers is needed to assess the generality of MARV.

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“…The potential of UAVs in hydrological sciences is vast (Acharya et al., 2021; Dal Sasso et al., 2021). Due to their flexible and facile usage, they are employed to measure river surface flow velocities (Eltner, Bertalan, et al., 2021) as well as the river bathymetry (Woodget et al., 2015), eventually allowing for the retrieval of river discharges by remote sensing (Eltner et al., 2020, Eltner, Mader, et al., 2021). UAV was applied for monitoring surface velocity through the radar sensor in some Alaska rivers where the surface velocity is assumed the maximum one (Fulton et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Estimating the Average River Cross‐Section Velocity by Observing Only One Surface Velocity Value and Calibrating the Entropic Parameter

Bahmanpouri

Eltner

Barbetta

et al. 2022

Water Resources Research

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Protecting and managing the waterways are of particular consequence in maintaining the balance between nature and human civilization. In this regard, river monitoring is one of the utmost issues in the field of river engineering due to (a) decision-making related to the protection of life and property from water-related hazards, such as floods, and (b) cost-effective management of freshwater that is safe and available for some applications, such as drinking, irrigation, energy, industry, recreation, and ecosystem health. Consequently, new technologies and methodologies are of particular importance to monitoring discharge rate considering various flow conditions at river gauges to improve the understanding of the surface hydrologic processes at the catchment scale (Tauro et al., 2014). Noncontact methods have been applied recently to measure flow properties, such as Doppler (velocity) radars (

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Hydro‐morphological mapping of river reaches using videos captured with UAS

Cited by 25 publications

References 67 publications

Uncrewed Aerial Systems in Water Resource Management and Monitoring: A Review of Sensors, Applications, Software, and Issues

Uncrewed Aerial Systems in Water Resource Management and Monitoring: A Review of Sensors, Applications, Software, and Issues

Moving Aircraft River Velocimetry (MARV): Framework and Proof‐of‐Concept on the Tanana River

Estimating the Average River Cross‐Section Velocity by Observing Only One Surface Velocity Value and Calibrating the Entropic Parameter

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