Modeling river bed morphology, roughness, and surface sedimentology using high resolution terrestrial laser scanning

Brasington, James; Vericat, Damià; Rychkov, I.

doi:10.1029/2012wr012223

Cited by 292 publications

(320 citation statements)

References 54 publications

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“…In contrast, terrestrial laser scanning (TLS) indirectly measures the surface topography across relatively large areas at a much higher spatial and temporal resolution; generating detailed 3-dimensional data that can be used as a point-in-time survey record or as the basis for quantitative comparisons. TLS is fast becoming a standard technique for quantifying high resolution morphological change in a range of geomorphological settings (Schürch et al, 2011;Brasington et al, 2012;Grayson et al, 2012), as well as being increasingly used for monitoring the condition of upstanding structural remains (Hinzen et al, 2013). However, prior to this paper, the use of repeat TLS for monitoring archaeological sites is very limited and has been restricted to coarse (biannual / annual) temporal intervals (Romanescu et al, 2012;Romanescu and Nicu, 2014).…”

Section: Current Approaches To Monitoring Archaeological Sites Of Natmentioning

confidence: 99%

Quantifying erosion of ‘at risk’ archaeological sites using repeat terrestrial laser scanning

Kincey

Gerrard

Warburton

2017

Journal of Archaeological Science: Reports

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Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. AbstractEffective heritage management is reliant on an understanding of the range of current and potential future threats facing archaeological sites. Despite this, the processes leading to the loss of in situ archaeological remains are still poorly understood, including the rates, timing and drivers of surface erosion. This issue is particularly significant for abandoned historical metal mines in upland landscapes, where erosion rates are typically higher due to a combination of the unstable character of the archaeological deposits and the increased effectiveness of surface erosion processes. This study utilises repeat terrestrial laser scanning (TLS) to monitor the changing condition of two adjacent lead mines in the North Pennines, UK, over an 18 month period. The high spatial and temporal resolution of the TLS data, in conjunction with land cover characteristics derived from an unmanned aerial vehicle (UAV) survey, allows the detailed quantification of the causes and impacts of surface change.The results demonstrate that stream bank erosion is the process responsible for the most widespread and archaeologically significant damage, although localised gullying of mine waste heaps resulted in the largest volumetric loss of material (>160 m 3 ). Temporal variation in the erosion of upland archaeological sites is highly episodic, being dominated (>70%) by high magnitude but low frequency storm events. These results provide invaluable information regarding the causes and impacts of erosion of upland archaeological remains, as well as establishing a proven methodology which can now be applied to archaeological sites in other landscape contexts.

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Section: Current Approaches To Monitoring Archaeological Sites Of Natmentioning

confidence: 99%

Quantifying erosion of ‘at risk’ archaeological sites using repeat terrestrial laser scanning

Kincey

Gerrard

Warburton

2017

Journal of Archaeological Science: Reports

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“…The Topographic Point-Cloud Analysis Toolkit (ToPCAT; Brasington et al, 2012;Rychkov et al, 2012) was used to extract detrended minimum grid-cell elevations at 1 m 2 spatial resolution, in order to improve the computational efficiency of surface interpolation in ArcGIS®, while also preserving sub-grid statistics.…”

Section: Structure-from-motion Photogrammetrymentioning

confidence: 99%

Reconstructing historic Glacial Lake Outburst Floods through numerical modelling and geomorphological assessment: Extreme events in the Himalaya

Westoby

Glasser

Hambrey

et al. 2014

Earth Surf Processes Landf

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Recession of high-mountain glaciers in response to climatic change frequently results in the development of morainedammed glacial lakes. Moraine dam failure is often accompanied by the release of large volumes of water and sediment, termed a Glacial Lake Outburst Flood (GLOF). Chukhung Glacier is a small (~3 km 2 ) receding valley glacier in Mt. Everest (Sagarmatha) National Park, Nepal. Unlike many Himalayan glaciers, which possess a thick mantle of supraglacial debris, its surface is relatively clean. The glacier terminus has receded 1.3 km from its maximum Holocene position, and in doing so provided the space for an icecontact moraine-dammed lake to develop. The lake had a maximum volume of 5.5 × 10 5 m 3 and drained as a result of breaching of the terminal moraine. An estimated 1.3 × 10 5 m 3 of material was removed from the terminal moraine during breach development. Numerical dam-breach modelling, implemented within a Generalised Likelihood Uncertainty Estimation (GLUE) framework, was used to investigate a range of moraine-dam failure scenarios. Reconstructed outflow peak discharges, including failure via overtopping and piping mechanisms, are in the range 146-2200 m 3 s -1 . Results from two-dimensional hydrodynamic GLOF modelling indicate that maximum local flow depths may have exceeded 9 m, with maximum flow velocities exceeding 20 m s -1 within 700 m of the breach. The floodwaters mobilised a significant amount of material, sourced mostly from the expanding breach, forming a 300 m long and 100 m wide debris fan originating at the breach exit. moraine-dam. These results also suggest that inundation of the entire floodplain may have been achieved within ten minutes of initial breach development, suggesting that debris fan development was rapid. We discuss the key glaciological and geomorphological factors that have determined the evolution of a hazardous moraine-dammed lake complex and the subsequent generation of a GLOF and its geomorphological impact.

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“…Several studies have investigated the impact of digital elevation model (DEM) resolution on change detection (Wheaton et al, 2010(Wheaton et al, 2010Brasington et al, 2012) and flow modeling results (Fewtrell et al, 2011;Leitão et al, 2015). Leitão et al (2015) demonstrated that high resolution terrain models generated with SfM techniques from aerial photographs produce satisfactory results for urban overland flow modeling.…”

Section: Introductionmentioning

confidence: 99%

Overland Flow Analysis Using Time Series of Suas-Derived Elevation Models

Jeziorska¹,

Mitášová²,

Petrášová³

et al. 2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:With the advent of the innovative techniques for generating high temporal and spatial resolution terrain models from Unmanned Aerial Systems (UAS) imagery, it has become possible to precisely map overland flow patterns. Furthermore, the process has become more affordable and efficient through the coupling of small UAS (sUAS) that are easily deployed with Structure from Motion (SfM) algorithms that can efficiently derive 3D data from RGB imagery captured with consumer grade cameras. We propose applying the robust overland flow algorithm based on the path sampling technique for mapping flow paths in the arable land on a small test site in Raleigh, North Carolina. By comparing a time series of five flights in 2015 with the results of a simulation based on the most recent lidar derived DEM (2013), we show that the sUAS based data is suitable for overland flow predictions and has several advantages over the lidar data. The sUAS based data captures preferential flow along tillage and more accurately represents gullies. Furthermore the simulated water flow patterns over the sUAS based terrain models are consistent throughout the year. When terrain models are reconstructed only from sUAS captured RGB imagery, however, water flow modeling is only appropriate in areas with sparse or no vegetation cover.

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Modeling river bed morphology, roughness, and surface sedimentology using high resolution terrestrial laser scanning

Cited by 292 publications

References 54 publications

Quantifying erosion of ‘at risk’ archaeological sites using repeat terrestrial laser scanning

Quantifying erosion of ‘at risk’ archaeological sites using repeat terrestrial laser scanning

Reconstructing historic Glacial Lake Outburst Floods through numerical modelling and geomorphological assessment: Extreme events in the Himalaya

Overland Flow Analysis Using Time Series of Suas-Derived Elevation Models

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