Airborne LiDAR Methods Applied to Riverine Environments

Bailly, Jean‐Stéphane; Kinzel, Paul J.; Allouis, T.; Feurer, Denis; Coarer, Yann Le

doi:10.1002/9781119940791.ch7

Cited by 15 publications

(20 citation statements)

References 57 publications

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“…Bathymetric LiDAR 0.10-0.30 1.00 <1.00 3.90 Kinzel et al, 2007;Feurer et al, 2008;Bailly et al, 2010Bailly et al, , 2012 TLS 0.004-0.03 <0.05 N/a N/a Heritage and Hetherington, 2007;Bangen et al, 2014;Smith and Vericat, 2013 below the water surface, h is the true water depth, h A is the apparent water depth, n 2 is the refractive index of air (which has a value of 1) and n 1 is the refractive index of water. For clear water, n 1 has a value of 1.34, which varies by less than 1% for a range of temperature and salinity conditions (Jerlov, 1976;Westaway et al, 2001;Butler et al, 2002).…”

Section: Existing Approachesmentioning

confidence: 99%

“…However, the use of near-infrared light, which is strongly absorbed in water, usually makes quantification of submerged topography impossible (Lane and Carbonneau, 2007;Legleiter, 2012). At present however, the application of airborne bathymetric laser scanning to the mesoscale study of fluvial environments is severely limited by high cost, restricted sensor availability, coarse spatial resolution and a lack of reliability in shallower waters (McKean et al, 2009;Bailly et al, 2012;Hicks, 2012;Legleiter, 2012;Marcus, 2012;Kinzel et al, 2013). Blue-green scanning approaches are less affected by turbidity and water surface roughness than passive remote sensing techniques (Marcus, 2012), and are capable of surveying much greater water depths (Bailly et al, 2010;Kinzel et al, 2013).…”

Section: Laser Scanningmentioning

confidence: 99%

See 1 more Smart Citation

Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry

Woodget

Carbonneau

Visser

et al. 2014

Earth Surf Processes Landf

359

401

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Quantifying the topography of rivers and their associated bedforms has been a fundamental concern of fluvial geomorphology for decades. Such data, acquired at high temporal and spatial resolutions, are increasingly in demand for process‐oriented investigations of flow hydraulics, sediment dynamics and in‐stream habitat. In these riverine environments, the most challenging region for topographic measurement is the wetted, submerged channel. Generally, dry bed topography and submerged bathymetry are measured using different methods and technology. This adds to the costs, logistical challenges and data processing requirements of comprehensive river surveys. However, some technologies are capable of measuring the submerged topography. Through‐water photogrammetry and bathymetric LiDAR are capable of reasonably accurate measurements of channel beds in clear water. While the cost of bathymetric LiDAR remains high and its resolution relatively coarse, the recent developments in photogrammetry using Structure from Motion (SfM) algorithms promise a fundamental shift in the accessibility of topographic data for a wide range of settings. Here we present results demonstrating the potential of so called SfM‐photogrammetry for quantifying both exposed and submerged fluvial topography at the mesohabitat scale. We show that imagery acquired from a rotary‐winged Unmanned Aerial System (UAS) can be processed in order to produce digital elevation models (DEMs) with hyperspatial resolutions (c. 0.02 m) for two different river systems over channel lengths of 50–100 m. Errors in submerged areas range from 0.016 m to 0.089 m, which can be reduced to between 0.008 m and 0.053 m with the application of a simple refraction correction. This work therefore demonstrates the potential of UAS platforms and SfM‐photogrammetry as a single technique for surveying fluvial topography at the mesoscale (defined as lengths of channel from c.10 m to a few hundred metres). Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Existing Approachesmentioning

confidence: 99%

Section: Laser Scanningmentioning

confidence: 99%

Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry

Woodget

Carbonneau

Visser

et al. 2014

Earth Surf Processes Landf

359

401

View full text Add to dashboard Cite

show abstract

“…The new generation of waterproof rotary wing UAVs equipped with visual navigation sensors and automatic ≈ 2 m; 1-1.5 m 0.10-0.20 m ≈ 1-1.5 times the Secchi depth Fonstad and Marcus (2005), Legleiter and Overstreet (2012). Bailly et al (2012Bailly et al ( , 2010, Charlton et al (2003), Hilldale and Raff (2008), Kinzel et al (2007). pilot systems will make it possible to collect hyperspatial observations in remote or dangerous locations, without requiring the operator to access the area.…”

Section: Future Researchmentioning

confidence: 99%

Technical note: Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an unmanned aerial vehicle

Bandini

Olesen

Jakobsen

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. High-quality bathymetric maps of inland water bodies are a common requirement for hydraulic engineering and hydrological science applications. Remote sensing methods, such as space-borne and airborne multispectral imaging or lidar, have been developed to estimate water depth, but are ineffective for most inland water bodies, because of the attenuation of electromagnetic radiation in water, especially under turbid conditions. Surveys conducted with boats equipped with sonars can retrieve accurate water depths, but are expensive, time-consuming, and unsuitable for unnavigable water bodies.We develop and assess a novel approach to retrieve accurate and high-resolution bathymetry maps. We measured accurate water depths using a tethered floating sonar controlled by an unmanned aerial vehicle (UAV) in a lake and in two different rivers located in Denmark. The developed technique combines the advantages of remote sensing with the potential of bathymetric sonars. UAV surveys can be conducted also in unnavigable, inaccessible, or remote water bodies. The tethered sonar can measure bathymetry with an accuracy of ∼ 2.1 % of the actual depth for observations up to 35 m, without being significantly affected by water turbidity, bed form, or bed material.

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“…The utilisation of laser scanning methods in fluvial studies, particularly airborne LiDAR (Light Detection and Ranging), is becoming commonplace and high resolution digital elevation models are providing a standard platform for basin-scale river research and applications (for reviews see [141][142][143]). With field surveys rarely covering the entire drainage basin, automated extraction of cross-sections (extending over the floodplain) from LiDAR-derived topography has considerable merit (e.g., [144]) and GIS-based routines are now highly efficient at providing cross-section datasets for user-defined locations (or spacing) with minimal expertise required [145,146]; examples include the GeoRAS component of the HEC-RAS hydraulic modelling package [147] and MAT (Modelling Assistant Tool, developed by JBA Consulting, Skipton, UK).…”

Section: Cross-sections and Slopementioning

confidence: 99%

Quantifying River Channel Stability at the Basin Scale

Soar

Wallerstein

Thorne

2017

Water

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This paper examines the feasibility of a basin-scale scheme for characterising and quantifying river reaches in terms of their geomorphological stability status and potential for morphological adjustment based on auditing stream energy. A River Energy Audit Scheme (REAS) is explored, which involves integrating stream power with flow duration to investigate the downstream distribution of Annual Geomorphic Energy (AGE). This measure represents the average annual energy available with which to perform geomorphological work in reshaping the channel boundary. Changes in AGE between successive reaches might indicate whether adjustments are likely to be led by erosion or deposition at the channel perimeter. A case study of the River Kent in Cumbria, UK, demonstrates that basin-wide application is achievable without excessive field work and data processing. However, in addressing the basin scale, the research found that this is inevitably at the cost of a number of assumptions and limitations, which are discussed herein. Technological advances in remotely sensed data capture, developments in image processing and emerging GIS tools provide the near-term prospect of fully quantifying river channel stability at the basin scale, although as yet not fully realized. Potential applications of this type of approach include system-wide assessment of river channel stability and sensitivity to land-use or climate change, and informing strategic planning for river channel and flood risk management.

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Airborne LiDAR Methods Applied to Riverine Environments

Cited by 15 publications

References 57 publications

Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry

Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry

Technical note: Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an unmanned aerial vehicle

Quantifying River Channel Stability at the Basin Scale

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