Terrestrial Laser Scanning of grain roughness in a gravel-bed river

Milan, David J.

doi:10.1016/j.geomorph.2009.03.021

Cited by 157 publications

(138 citation statements)

References 54 publications

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“…After the integration of a scanning mechanism with lidar and an inertial measurements unit with GPS in the early 1990s, it has been possible to use first airborne laser scanning (ALS), then MLS data, in addition to static based terrestrial laser scanning (TLS), to improve the measurement and modeling of fluvial environments (e.g., [2][3][4][5][6][7][8][9][10][11][12]). High-resolution ALS provides detailed information on topographical features of fluvial environments that influence the river hydraulics, giving, therefore, the potential to improve existing hydraulic models (e.g., [13][14][15][16][17]).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, TLS can be applied to measure the grain-scale surface roughness needed in river flow modeling. Heritage and Milan [7] showed that finer resolution of roughness leads to a better prediction of modeled flow velocity. The improved topographical data allows for better planning of the management of river hydraulics and erosion control (e.g., [14,18]) and better analysis of different flooding scenarios [16].…”

Section: Introductionmentioning

confidence: 99%

“…In addition to static modeling of the riverine topography, there is a great need to map the changes in riverine topography, since the geomorphology and topography of the river channel and surrounding floodplain are affected by the fluvial erosion and deposition processes, which vary from a constant grain-scale displacement to large-scale flood-related avulsions [7,14,31].…”

Section: Introductionmentioning

confidence: 99%

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Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner

et al. 2011

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Laser measurements have been used in a fluvial context since 1984, but the change detection possibilities of mobile laser scanning (MLS) for riverine topography have been lacking. This paper demonstrates the capability of MLS in erosion change mapping on a test site located in a 58 km-long tributary of the River Tenojoki (Tana) in the sub-arctic. We used point bars and river banks as example cases, which were measured with the mobile laser scanner ROAMER mounted on a boat and on a cart. Static terrestrial laser scanner data were used as reference and we exploited a difference elevation model technique for describing erosion and deposition areas. The measurements were based on data acquisitions during the late summer in 2008 and 2009. The coefficient of determination (R 2 ) of 0.93 and a standard deviation of error 3.4 cm were obtained as metrics for change mapping based on MLS. The root mean square error (RMSE) of MLS-based digital elevation models (DEM) for non-vegetated point bars ranged between 2.3 and 7.6 cm after correction of the systematic error. For densely vegetated bank areas, the ground point determination was more difficult resulting in an RMSE between 15.7 and 28.4 cm. OPEN ACCESSRemote Sens. 2011, 3 588

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner

et al. 2011

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“…Although currently limited to exposed and very shallow bed areas (thus imagery at low flow conditions are most useful), and representative grain sizes only (e.g., d 50 ), methods of air photo interpretation are advancing at a pace and submerged river bed sediments of a greater range of calibre will undoubtedly be detectable and mappable over whole river lengths in the near future, especially when supported by other remote sensing methods such as terrestrial laser scanning of bed material at the local scale (e.g., [182,183]). …”

Section: Bed Materials Gradationmentioning

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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“…The capacity of the terrestrial laser scanning (TLS) for fluvial morphology has been studied by Hodge et al [1]. TLS is further used for studying roughness patterns [2,3]. Surface based statistical approaches have been applied to determine grain size [4] and surface sedimentology [5] by analyzing the local standard deviation of raw TLS point clouds or TLS produced digital surface models (DSM).…”

Section: Introductionmentioning

confidence: 99%

3D Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data

et al. 2013

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High quality sedimentary measurements are required for studying fluvial geomorphology and hydrological processes e.g., flood and river dynamics. Mobile laser scanning (MLS) currently provides the opportunity to achieve high precision measurements of coarse fluvial sediments in a large survey area. Our study aims to investigate the capability of single-track MLS data for individual particle-based sediment modeling. Individual particles are firstly detected and delineated from a digital surface model (DSM) that is generated from the MLS data. 3D MLS points of each detected individual particle are then extracted from the point cloud. The grain size and the sphericity as well as the orientation of each individual particle are estimated based on the extracted MLS points. According to the evaluations conduced in the paper, it is possible to detect and to model sediment particles above 63 mm from a single-track MLS point cloud with a high reliability. The paper further discusses the strength and the challenges of individual particle-based approach for sedimentary measurement.

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Terrestrial Laser Scanning of grain roughness in a gravel-bed river

Cited by 157 publications

References 54 publications

Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner

Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner

Quantifying River Channel Stability at the Basin Scale

3D Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data

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